diff --git a/apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv b/apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv
index 6ad642feea..913d19b6e9 100644
--- a/apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv
+++ b/apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv
@@ -1,6 +1,6 @@
 "id","slug","name","headline","description","avatar_url","website_url","status","difficulty","platform","doi","start_date","end_date","created_at","updated_at"
-"1","network-topology-and-parameter-inference","Network Topology and Parameter Inference","","Participants are asked to develop and/or apply optimization methods, including the selection of the most informative experiments, to accurately estimate parameters and predict outcomes of perturbations in Systems Biology models.","","https://www.synapse.org/#!Synapse:syn2821735","completed","intermediate","1","","2012-06-01","2012-10-01","2023-06-23 00:00:00","2023-10-19 00:10:08"
-"2","breast-cancer-prognosis","Breast Cancer Prognosis","","The goal of the breast cancer prognosis Challenge is to assess the accuracy of computational models designed to predict breast cancer survival, based on clinical information about the patient's tumor as well as genome-wide molecular profiling data including gene expression and copy number profiles.","","https://www.synapse.org/#!Synapse:syn2813426","completed","intermediate","1","","2012-07-12","2012-10-15","2023-06-23 00:00:00","2023-10-17 23:00:12"
+"1","network-topology-and-parameter-inference","Network Topology and Parameter Inference","","Participants are asked to develop and/or apply optimization methods, including the selection of the most informative experiments, to accurately estimate parameters and predict outcomes of perturbations in Systems Biology models.","","https://www.synapse.org/#!Synapse:syn2821735","completed","intermediate","1","","2012-06-01","2012-10-01","2023-06-23 00:00:00","2023-10-24 19:51:24"
+"2","breast-cancer-prognosis","Breast Cancer Prognosis","","The goal of the breast cancer prognosis Challenge is to assess the accuracy of computational models designed to predict breast cancer survival, based on clinical information about the patient's tumor as well as genome-wide molecular profiling data including gene expression and copy number profiles.","","https://www.synapse.org/#!Synapse:syn2813426","completed","intermediate","1","","2012-07-12","2012-10-15","2023-06-23 00:00:00","2023-10-24 19:51:27"
 "3","phil-bowen-als-prediction-prize4life","Phil Bowen ALS Prediction Prize4Life","","Amyotrophic Lateral Sclerosis (ALS)-also known as Lou Gehrig's disease (in the US) or Motor Neurone disease (outside the US)-is a fatal neurological disease causing death of the nerve cells in the brain and spinal cord which control voluntary muscle movements. This leaves patients struggling with a progressive loss of motor function while leaving cognitive functions intact. Symptoms usually do not manifest until the age of 50 but can start earlier. At any given time, approximately five out of every 100,000 people worldwide suffer from ALS, though there would be a higher prevalence if the disease did not progress so rapidly, leading to the death of the patient. There are no known risk factors for developing ALS other than having a family member who has a hereditary form of the disease, which accounts for about 5-10% of ALS patients. There is also no known cure for ALS. The only FDA-approved drug for the disease is Riluzole, which has been shown to prolong the life span of someone w...","","https://www.synapse.org/#!Synapse:syn2826267","completed","intermediate","1","","2012-06-01","2012-10-01","2023-06-23 00:00:00","2023-10-14 05:38:09"
 "4","drug-sensitivity-and-drug-synergy-prediction","Drug Sensitivity and Drug Synergy Prediction","","Development of new cancer therapeutics currently requires a long and protracted process of experimentation and testing. Human cancer cell lines represent a good model to help identify associations between molecular subtypes, pathways, and drug response. In recent years there have been several efforts to generate genomic profiles of collections of cell lines and to determine their response to panels of candidate therapeutic compounds. These data provide the basis for the development of in silico models of sensitivity based either on the unperturbed genetic potential of a cancer cell, or by using perturbation data to incorporate knowledge of actual cell response. Making predictions from either of these data profiles will be beneficial in identifying single and combinatorial chemotherapeutic response in patients. To that end, the present challenge seeks computational methods, derived from the molecular profiling of cell lines both in a static state and in response to perturbation of ...","","https://www.synapse.org/#!Synapse:syn2785778","completed","intermediate","1","","2012-06-01","2012-10-01","2023-06-23 00:00:00","2023-10-19 00:11:48"
 "5","niehs-ncats-unc-toxicogenetics","NIEHS-NCATS-UNC Toxicogenetics","","This challenge is designed to build predictive models of cytotoxicity as mediated by exposure to environmental toxicants and drugs. To approach this question, we will provide a dataset containing cytotoxicity estimates as measured in lymphoblastoid cell lines derived from 884 individuals following in vitro exposure to 156 chemical compounds. In subchallenge 1, participants will be asked to model interindividual variability in cytotoxicity based on genomic profiles in order to predict cytotoxicity in unknown individuals. In subchallenge 2, participants will be asked to predict population-level parameters of cytotoxicity across chemicals based on structural attributes of compounds in order to predict median cytotoxicity and mean variance in toxicity for unknown compounds.","","https://www.synapse.org/#!Synapse:syn1761567","completed","intermediate","1","","2013-06-10","2013-09-15","2023-06-23 00:00:00","2023-10-14 05:38:13"
@@ -153,12 +153,12 @@
 "152","vha-innovation-ecosystem-and-precisionfda-covid-19-risk-factor-modeling-challenge-phase-2","VHA Innovation Ecosystem and precisionFDA COVID-19 Risk Factor Modeling Challenge Phase 2","The focus of Phase 2 was to validate the top performing models on two additi...","The novel coronavirus disease 2019 (COVID-19) is a respiratory disease caused by a new type of coronavirus, known as “severe acute respiratory syndrome coronavirus 2,” or SARS-CoV-2. On March 11, 2020, the World Health Organization (WHO) declared the outbreak a global pandemic. As of January 22nd, 2022, the Johns Hopkins University COVID-19 dashboard reports over 338 million total confirmed cases worldwide. Although most people have mild to moderate symptoms, the disease can cause severe medical complications leading to death in some people. The Centers for Disease Control and Prevention (CDC) have identified several risk factors for severe COVID-19 illness, including people 65 years and older, individuals living in nursing homes or long-term care facilities, and those with serious underlying medical conditions. The Veteran population has a higher prevalence of several of the known risk factors for severe COVID-19 illness, such as advanced age, heart disease, and diabetes. Identif...","","https://precision.fda.gov/challenges/20","completed","intermediate","6","","2021-04-14","2022-01-28","2023-06-23 00:00:00","2023-10-14 05:40:19"
 "153","tumor-mutational-burden-tmb-challenge-phase-2","Tumor Mutational Burden (TMB) Challenge Phase 2","The goal of the Friends of Cancer Research and precisionFDA Tumor Mutational...","Tumor mutational burden (TMB) is generally defined as the number of mutations detected in a patient's tumor sample per megabase of DNA sequenced. However different algorithms use different methods for calculating TMB. Mutations in genes in tumor cells may lead to the creation of neoantigens, which have the potential to activate an immune system response against the tumor, and the likelihood of an immune system response may increase with the number of mutations. Thus, TMB is a biomarker for some immunotherapy drugs, called immune checkpoint inhibitors, such as those that target the PD-1 and PD-L1 pathways (Chan et al., 2019). An outstanding problem is the lack of standardization for TMB calculation and reporting between different assays. To address this problem, the Friends of Cancer Research convened a working group of industry and regulatory stakeholders to develop guidance and tools for TMB harmonization. Results from the first phase of this effort were presented at AACR 2020 (s...","","https://precision.fda.gov/challenges/18","completed","intermediate","6","","2021-07-19","2021-09-12","2023-06-23 00:00:00","2023-10-14 05:40:20"
 "154","predicting-gene-expression-using-millions-of-random-promoter-sequences","Predicting Gene Expression Using Millions of Random Promoter Sequences","","Decoding how gene expression is regulated is critical to understanding disease. Regulatory DNA is decoded by the cell in a process termed “cis-regulatory logic”, where proteins called Transcription Factors (TFs) bind to specific DNA sequences within the genome and work together to produce as output a level of gene expression for downstream adjacent genes. This process is exceedingly complex to model as a large number of parameters is needed to fully describe the process (see Rationale, de Boer et al. 2020; Zeitingler J. 2020). Understanding the cis-regulatory logic of the human genome is an important goal and would provide insight into the origins of many diseases. However, learning models from human data is challenging due to limitations in the diversity of sequences present within the human genome (e.g. extensive repetitive DNA), the vast number of cell types that differ in how they interpret regulatory DNA, limited reporter assay data, and substantial technical biases present i...","","https://www.synapse.org/#!Synapse:syn28469146/wiki/617075","completed","intermediate","1","","2022-06-15","2022-08-07","2023-06-23 00:00:00","2023-10-14 05:40:21"
-"155","brats-2023","BraTS 2023","","The International Brain Tumor Segmentation (BraTS) challenge. BraTS, since 2012, has focused on the generation of a benchmarking environment and dataset for the delineation of adult brain gliomas. The focus of this year’s challenge remains the generation of a common benchmarking environment, but its dataset is substantially expanded to ~4,500 cases towards addressing additional i) populations (e.g., sub-Saharan Africa patients), ii) tumors (e.g., meningioma), iii) clinical concerns (e.g., missing data), and iv) technical considerations (e.g., augmentations). Specifically, the focus of BraTS 2023 is to identify the current state-of-the-art algorithms for addressing (Task 1) the same adult glioma population as in the RSNA-ANSR-MICCAI BraTS challenge, as well as (Task 2) the underserved sub-Saharan African brain glioma patient population, (Task 3) intracranial meningioma, (Task 4) brain metastasis, (Task 5) pediatric brain tumor patients, (Task 6) global & local missing data, (Task 7...","","https://www.synapse.org/brats","active","advanced","1","","2023-06-01","2023-08-25","2023-06-23 00:00:00","2023-10-14 05:40:21"
+"155","brats-2023","BraTS 2023","","The International Brain Tumor Segmentation (BraTS) challenge. BraTS, since 2012, has focused on the generation of a benchmarking environment and dataset for the delineation of adult brain gliomas. The focus of this year’s challenge remains the generation of a common benchmarking environment, but its dataset is substantially expanded to ~4,500 cases towards addressing additional i) populations (e.g., sub-Saharan Africa patients), ii) tumors (e.g., meningioma), iii) clinical concerns (e.g., missing data), and iv) technical considerations (e.g., augmentations). Specifically, the focus of BraTS 2023 is to identify the current state-of-the-art algorithms for addressing (Task 1) the same adult glioma population as in the RSNA-ANSR-MICCAI BraTS challenge, as well as (Task 2) the underserved sub-Saharan African brain glioma patient population, (Task 3) intracranial meningioma, (Task 4) brain metastasis, (Task 5) pediatric brain tumor patients, (Task 6) global & local missing data, (Task 7...","","https://www.synapse.org/brats","completed","advanced","1","","2023-06-01","2023-08-25","2023-06-23 00:00:00","2023-10-26 23:20:21"
 "156","cagi7","CAGI7","The seventh round of CAGI","There have been six editions of CAGI experiments, held between 2010 and 2022. The seventh round of CAGI is planned to take place over the Summer of 2024.","","https://genomeinterpretation.org/challenges.html","upcoming","intermediate","1","","\N","\N","2023-08-04 21:47:38","2023-10-14 05:40:32"
 "157","casp15","CASP15","Establish the state-of-art in modeling proteins and protein complexes","CASP14 (2020) saw an enormous jump in the accuracy of single protein and domain models such that many are competitive with experiment. That advance is largely the result of the successful application of deep learning methods, particularly by the AlphaFold and, since that CASP, RosettaFold. As a consequence, computed protein structures are becoming much more widely used in a broadening range of applications. CASP has responded to this new landscape with a revised set of modeling categories. Some old categories have been dropped (refinement, contact prediction, and aspects of model accuracy estimation) and new ones have been added (RNA structures, protein ligand complexes, protein ensembles, and accuracy estimation for protein complexes). We are also strengthening our interactions with our partners CAPRI and CAMEO. We hope that these changes will maximize the insight that CASP15 provides, particularly in new applications of deep learning.","","https://predictioncenter.org/casp15/index.cgi","completed","intermediate","14","","2022-04-18","\N","2023-08-04 21:52:12","2023-09-28 23:09:59"
-"158","synthrad2023","SynthRAD2023","Synthesizing computed tomography for radiotherapy","This challenge aims to provide the first platform offering public data evaluation metrics to compare the latest developments in sCT generation methods. The accepted challenge design approved by MICCAI can be found at https://doi.org/10.5281/zenodo.7746019. A type 2 challenge will be run, where the participant needs to submit their algorithm packaged in a docker both for validation and test.","","https://synthrad2023.grand-challenge.org/","active","intermediate","5","","2023-04-01","2023-08-22","2023-08-04 21:54:31","2023-09-28 23:12:01"
-"159","synthetic-data-for-instrument-segmentation-in-surgery-syn-iss","Synthetic Data for Instrument Segmentation in Surgery (Syn-ISS)","","A common limitation noted by the surgical data science community is the size of datasets and the resources needed to generate training data at scale for building reliable and high-performing machine learning models. Beyond unsupervised and self-supervised approaches another solution within the broader machine learning community has been a growing volume of literature in the use of synthetic data (simulation) for training algorithms than can be applied to real world data. Synthetic data has multiple benefits like free groundtruth at large scale, possibility to collect larger sample of rare events, include anatomical variations, etc. A first step towards proving the validity of using synthetic data for real world applications is to demonstrate the feasibility within the simulation world itself. Our proposed challenge is to train machine learning methods for instrument segmentation using synthetic datasets and test their performance on synthetic datasets. That is, the challenge parti...","","https://www.synapse.org/#!Synapse:syn50908388/wiki/620516","active","intermediate","1","","2023-07-19","2023-09-07","2023-08-04 23:49:44","2023-10-10 19:52:16"
-"160","pitvis","PitVis","Surgical workflow and instrument recognition in endonasal surgery","The pituitary gland, found just off the base of the brain, is commonly known as “the master gland”, performing essential functions required for sustaining human life. Clinically relevant tumours that have grown on the pituitary gland have an estimated prevalence of 1 in 1000 of the population, and if left untreated can be life-limiting. The “gold standard” treatment is endoscopic pituitary surgery, where the tumour is directly removed by entering through a nostril. This surgery is particularly challenging due to the small working space which limits both vision and instrument manoeuvrability and thus can lead to poor surgical technique causing adverse outcomes for the patient. Computer-assisted intervention can help overcome these challenges by providing guidance for senior surgeons and operative staff during surgery, and for junior surgeons during training.","","https://www.synapse.org/#!Synapse:syn51232283/wiki/","active","intermediate","1","","2023-06-29","2023-09-10","2023-08-04 23:58:01","2023-09-28 23:12:09"
+"158","synthrad2023","SynthRAD2023","Synthesizing computed tomography for radiotherapy","This challenge aims to provide the first platform offering public data evaluation metrics to compare the latest developments in sCT generation methods. The accepted challenge design approved by MICCAI can be found at https://doi.org/10.5281/zenodo.7746019. A type 2 challenge will be run, where the participant needs to submit their algorithm packaged in a docker both for validation and test.","","https://synthrad2023.grand-challenge.org/","completed","intermediate","5","","2023-04-01","2023-08-22","2023-08-04 21:54:31","2023-10-26 23:20:24"
+"159","synthetic-data-for-instrument-segmentation-in-surgery-syn-iss","Synthetic Data for Instrument Segmentation in Surgery (Syn-ISS)","","A common limitation noted by the surgical data science community is the size of datasets and the resources needed to generate training data at scale for building reliable and high-performing machine learning models. Beyond unsupervised and self-supervised approaches another solution within the broader machine learning community has been a growing volume of literature in the use of synthetic data (simulation) for training algorithms than can be applied to real world data. Synthetic data has multiple benefits like free groundtruth at large scale, possibility to collect larger sample of rare events, include anatomical variations, etc. A first step towards proving the validity of using synthetic data for real world applications is to demonstrate the feasibility within the simulation world itself. Our proposed challenge is to train machine learning methods for instrument segmentation using synthetic datasets and test their performance on synthetic datasets. That is, the challenge parti...","","https://www.synapse.org/#!Synapse:syn50908388/wiki/620516","completed","intermediate","1","","2023-07-19","2023-09-07","2023-08-04 23:49:44","2023-10-26 23:20:28"
+"160","pitvis","PitVis","Surgical workflow and instrument recognition in endonasal surgery","The pituitary gland, found just off the base of the brain, is commonly known as “the master gland”, performing essential functions required for sustaining human life. Clinically relevant tumours that have grown on the pituitary gland have an estimated prevalence of 1 in 1000 of the population, and if left untreated can be life-limiting. The “gold standard” treatment is endoscopic pituitary surgery, where the tumour is directly removed by entering through a nostril. This surgery is particularly challenging due to the small working space which limits both vision and instrument manoeuvrability and thus can lead to poor surgical technique causing adverse outcomes for the patient. Computer-assisted intervention can help overcome these challenges by providing guidance for senior surgeons and operative staff during surgery, and for junior surgeons during training.","","https://www.synapse.org/#!Synapse:syn51232283/wiki/","completed","intermediate","1","","2023-06-29","2023-09-10","2023-08-04 23:58:01","2023-10-26 23:20:30"
 "161","mvseg2023","MVSEG2023","Automatically segment mitral valve leaflets from single frame 3D trans-esoph...","Mitral valve (MV) disease is a common pathologic problem occurring in approximately 2 % of the general population but climbing to 10 % in those over the age of 75. The preferred intervention for mitral regurgitation is valve repair, due to superior patient outcomes compared to those following valve replacement. Mitral valve interventions are technically challenging due to the functional and anatomical complexity of mitral pathologies. Repair must be tailored to the patient-specific anatomy and pathology, which requires considerable expert training and experience. Automatic segmentation of the mitral valve leaflets from 3D transesophageal echocardiography (TEE) may play an important role in treatment planning, as well as physical and computational modelling of patient-specific valve pathologies and potential repair approaches. This may have important implications in the drive towards personalized care and has the potential to impact clinical outcomes for those undergoing mitral val...","","https://www.synapse.org/#!Synapse:syn51186045/wiki/621356","completed","intermediate","1","","2023-05-29","2023-08-07","2023-08-05 0-04-36","2023-09-28 23:12:19"
 "162","crossmoda23","crossMoDA23","This challenge proposes is the third edition of the first medical imaging be...","Domain Adaptation (DA) has recently raised strong interest in the medical imaging community. By encouraging algorithms to be robust to unseen situations or different input data domains, Domain Adaptation improves the applicability of machine learning approaches to various clinical settings. While a large variety of DA techniques has been proposed, most of these techniques have been validated either on private datasets or on small publicly available datasets. Moreover, these datasets mostly address single-class problems. To tackle these limitations, the crossMoDA challenge introduced the first large and multi-class dataset for unsupervised cross-modality Domain Adaptation. From an application perspective, crossMoDA focuses on MRI segmentation for Vestibular Schwannoma. Compared to the previous crossMoDA instance, which made use of multi-institutional data acquired in controlled conditions for radiosurgery planning and focused on a 2 class segmentation task (tumour and cochlea), the...","","https://www.synapse.org/#!Synapse:syn51236108/wiki/621615","completed","intermediate","1","","2023-04-15","2023-07-10","2023-08-05 0-13-23","2023-10-12 18:10:18"
 "163","icr-identify-age-related-conditions","ICR - Identifying Age-Related Conditions","Use Machine Learning to detect conditions with measurements of anonymous cha...","The goal of this competition is to predict if a person has any of three medical conditions. You are being asked to predict if the person has one or more of any of the three medical conditions (Class 1), or none of the three medical conditions (Class 0). You will create a model trained on measurements of health characteristics. To determine if someone has these medical conditions requires a long and intrusive process to collect information from patients. With predictive models, we can shorten this process and keep patient details private by collecting key characteristics relative to the conditions, then encoding these characteristics.","","https://www.kaggle.com/competitions/icr-identify-age-related-conditions","completed","intermediate","8","","2023-05-11","2023-08-10","2023-08-05 0-32-01","2023-10-12 18:15:08"
@@ -181,7 +181,7 @@
 "180","lish-moa","Mechanisms of Action (MoA) Prediction","Can you improve the algorithm that classifies drugs based on their biologica...","Can you improve the algorithm that classifies drugs based on their biological activity?","","https://www.kaggle.com/competitions/lish-moa","completed","intermediate","8","","2020-09-03","2020-11-30","2023-08-08 19:09:31","2023-09-28 23:18:04"
 "181","recursion-cellular-image-classification","Recursion Cellular Image Classification","CellSignal-Disentangling biological signal from experimental noise in cellul...","This competition will have you disentangling experimental noise from real biological signals. Your entry will classify images of cells under one of 1,108 different genetic perturbations. You can help eliminate the noise introduced by technical execution and environmental variation between experiments. If successful, you could dramatically improve the industry’s ability to model cellular images according to their relevant biology. In turn, applying AI could greatly decrease the cost of treatments, and ensure these treatments get to patients faster.","","https://www.kaggle.com/competitions/recursion-cellular-image-classification","completed","intermediate","8","","2019-06-27","2019-09-26","2023-08-08 19:38:42","2023-10-10 19:53:05"
 "182","tlvmc-parkinsons-freezing-gait-prediction","Parkinson's Freezing of Gait Prediction","Event detection from wearable sensor data","The goal of this competition is to detect freezing of gait (FOG), a debilitating symptom that afflicts many people with Parkinson’s disease. You will develop a machine learning model trained on data collected from a wearable 3D lower back sensor. Your work will help researchers better understand when and why FOG episodes occur. This will improve the ability of medical professionals to optimally evaluate, monitor, and ultimately, prevent FOG events.","","https://www.kaggle.com/competitions/tlvmc-parkinsons-freezing-gait-prediction","completed","intermediate","8","","2023-03-09","2023-06-08","2023-08-08 19:47:54","2023-10-10 19:53:08"
-"183","chaimeleon","CHAIMELEON Open Challenges","","The CHAIMELEON Open Challenges is a competition designed to train and refine AI models to answer clinical questions about five types of cancer-prostate, lung, breast, colon, and rectal. Participants are challenged to collaborate and develop innovative AI-powered solutions that can significantly impact cancer diagnosis, management, and treatment. They will be evaluated considering a balance between the performance of their AI algorithms to predict different clinical endpoints such as disease staging, treatment response or progression free survival and their trustworthiness.  The challenges are open to the whole scientific and tech community interested in AI. They are a unique opportunity to showcase how AI can be used to advance medical research and improve patient outcomes within the CHAIMELEON project.","","https://chaimeleon.grand-challenge.org/","upcoming","intermediate","5","","\N","2023-12-31","2023-08-09 17:13:09","2023-10-10 19:53:10"
+"183","chaimeleon","CHAIMELEON Open Challenges","","The CHAIMELEON Open Challenges is a competition designed to train and refine AI models to answer clinical questions about five types of cancer-prostate, lung, breast, colon, and rectal. Participants are challenged to collaborate and develop innovative AI-powered solutions that can significantly impact cancer diagnosis, management, and treatment. They will be evaluated considering a balance between the performance of their AI algorithms to predict different clinical endpoints such as disease staging, treatment response or progression free survival and their trustworthiness.  The challenges are open to the whole scientific and tech community interested in AI. They are a unique opportunity to showcase how AI can be used to advance medical research and improve patient outcomes within the CHAIMELEON project.","","https://chaimeleon.grand-challenge.org/","upcoming","intermediate","5","","\N","2023-12-31","2023-08-09 17:13:09","2023-10-26 23:23:13"
 "184","topcow23","Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA","","The aim of the challenge is to extract the CoW angio-architecture from 3D angiographic imaging by segmentation of the vessel components. There are two sub-tasks-binary segmentation of CoW vessels, and multi-class CoW anatomical segmentation. We release a new dataset of joint-modalities, CTA and MRA of the same patient cohort, both with annotations of the anatomy of CoW. Our challenge has two tracks for the same segmentation task, namely CTA track and MRA track. We made use of the clinical information from both modalities during our annotation. And participants can pick whichever modality they want, both CTA and MRA, and choose to tackle the task for either modality.","","https://topcow23.grand-challenge.org/","completed","intermediate","5","","2023-08-20","2023-09-25","2023-08-09 17:16:22","2023-09-28 23:24:41"
 "185","circle-of-willis-intracranial-artery-classification-and-quantification-challenge-2023","Circle of Willis Intracranial Artery Classification and Quantification Challenge 2023","","The purpose of this challenge is to compare automatic methods for classification of the circle of Willis (CoW) configuration and quantification of the CoW major artery diameters and bifurcation angles.","","https://crown.isi.uu.nl/","completed","intermediate","14","","2023-05-01","2023-08-15","2023-08-09 22:13:24","2023-09-28 23:24:54"
 "186","making-sense-of-electronic-health-record-ehr-race-and-ethnicity-data","Making Sense of Electronic Health Record (EHR) Race and Ethnicity Data","The US Food and Drug Administration (FDA) calls on stakeholders, including t...","The urgency of the coronavirus disease 2019 (COVID-19) pandemic has heightened interest in the use of real-world data (RWD) to obtain timely information about patients and populations and has focused attention on EHRs. The pandemic has also heightened awareness of long-standing racial and ethnic health disparities along a continuum from underlying social determinants of health, exposure to risk, access to insurance and care, quality of care, and responses to treatments. This highlighted the potential that EHRs can be used to describe and contribute to our understanding of racial and ethnic health disparities and their solutions. The OMB Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity provides minimum standards for maintaining, collecting, and presenting data on race and ethnicity for all Federal reporting purposes, and defines the two separate constructs of race and ethnicity.","","https://precision.fda.gov/challenges/30","completed","intermediate","6","","2023-05-31","2023-06-23","2023-08-10 18:28:06","2023-10-10 19:53:12"
@@ -218,7 +218,7 @@
 "217","iclr-computational-geometry-and-topology-challenge-2021","ICLR Computational Geometry & Topology Challenge 2021","","The purpose of this challenge is to push forward the fields of computational differential geometry and topology, by creating the best data analysis, computational method, or numerical experiment relying on state-of-the-art geometric and topological Python packages.","","https://github.com/geomstats/challenge-iclr-2021","completed","intermediate","14","https://doi.org/10.48550/arXiv.2108.09810","\N","2021-05-02","2023-09-13 17:02:12","2023-10-19 23:28:44"
 "218","genedisco-challenge","GeneDisco Challenge","","The GeneDisco challenge is a machine learning community challenge for evaluating batch active learning algorithms for exploring the vast experimental design space in genetic perturbation experiments. Genetic perturbation experiments, using for example CRISPR technologies to perturb the genome, are a vital component of early-stage drug discovery, including target discovery and target validation. The GeneDisco challenge is organized in conjunction with the Machine Learning for Drug Discovery workshop at ICLR-22.","","https://www.gsk.ai/genedisco-challenge/","completed","intermediate","16","https://doi.org/10.48550/arXiv.2110.11875","2022-01-31","2022-03-31","2023-09-13 17:20:30","2023-10-19 23:32:43"
 "219","hidden-treasures-warm-up","Hidden Treasures: Warm Up","","In the context of human genome sequencing, software pipelines typically involve a wide range of processing elements, including aligning sequencing reads to a reference genome and subsequently identifying variants (differences). One way of assessing the performance of such pipelines is by using well-characterized datasets such as Genome in a Bottle’s NA12878. However, because the existing NGS reference datasets are very limited and have been widely used to train/develop software pipelines, benchmarking of pipeline performance would ideally be done on samples with unknown variants.  This challenge will provide a unique opportunity for participants to investigate the accuracy of their pipelines by testing the ability to find in silico injected variants in FASTQ files from exome sequencing of reference cell lines. It will be a warm up for the community ahead of a more difficult in silico challenge to come in the fall. This challenge will provide users with a FASTQ file of a NA12878 se...","","https://precision.fda.gov/challenges/1","completed","intermediate","6","","2017-07-17","2017-09-13","2023-09-13 23:31:39","2023-10-12 17:55:23"
-"220","data-management-and-graph-extraction-for-large-models-in-the-biomedical-space","Data management and graph extraction for large models in the biomedical space","Collaborative hackathon on the topic of data management and graph extraction...","This fall, CMU Libraries is hosting a hackathon in partnership with DNAnexus on the topic of data management and graph extraction for large models in the biomedical space. The hackathon will be held in person at CMU, October 19-21, 2023.  The hackathon is a collaborative, rather than competitive, event, with each team working on a dedicated part of the problem. The teams will be focused on the following topics-1) Knowledge graph-based validation for variant (genomic) assertions; 2) Continuous monitoring for RLHF and flexible infrastructure for layering assertions with rollback; 3) Flexible tokenization of complex data types; 4) Assertion tracking in large models; 5) Column headers for data harmonization.  The outputs are often published as preprints or on the F1000 hackathon channel.  Contact Ben Busby (bbusby@dnanexus.com) with any questions about the hackathon or serving as a team lead.","","https://library.cmu.edu/about/news/2023-08/hackathon-2023","active","intermediate","14","","2023-10-19","2023-10-21","2023-09-13 23:32:59","2023-09-27 21:08:26"
+"220","data-management-and-graph-extraction-for-large-models-in-the-biomedical-space","Data management and graph extraction for large models in the biomedical space","Collaborative hackathon on the topic of data management and graph extraction...","This fall, CMU Libraries is hosting a hackathon in partnership with DNAnexus on the topic of data management and graph extraction for large models in the biomedical space. The hackathon will be held in person at CMU, October 19-21, 2023.  The hackathon is a collaborative, rather than competitive, event, with each team working on a dedicated part of the problem. The teams will be focused on the following topics-1) Knowledge graph-based validation for variant (genomic) assertions; 2) Continuous monitoring for RLHF and flexible infrastructure for layering assertions with rollback; 3) Flexible tokenization of complex data types; 4) Assertion tracking in large models; 5) Column headers for data harmonization.  The outputs are often published as preprints or on the F1000 hackathon channel.  Contact Ben Busby (bbusby@dnanexus.com) with any questions about the hackathon or serving as a team lead.","","https://library.cmu.edu/about/news/2023-08/hackathon-2023","completed","intermediate","14","","2023-10-19","2023-10-21","2023-09-13 23:32:59","2023-09-27 21:08:26"
 "221","cagi2-asthma-twins","CAGI2: Asthma discordant monozygotic twins","With the provided whole genome and RNA sequencing data, identify which two i...","The dataset includes whole genomes of 8 pairs of discordant monozygotic twins (randomly numbered from 1 to 16) that is, in each pair identical twins one has asthma and one does not. In addition, RNA sequencing data for each individual is provided. One of the twins in each pair suffers from asthma while the other twin is healthy.","","https://genomeinterpretation.org/CAGI2-asthma-twins.html","completed","intermediate","2","","\N","2011-10-06","2023-09-28 18:19:48","2023-10-12 18:11:42"
 "222","cagi4-bipolar","CAGI4: Bipolar disorder","With the provided exome data, identify which individuals have BD and which i...","Bipolar disorder (BD) is a serious mental illness characterized by recurrent episodes of manias and depression, which are syndromes of abnormal mood, thinking and behavior. It affects 1.0-4.5% of the population [1], and it is among the major causes of disability worldwide. This challenge involved the prediction of which of a set of individuals have been diagnosed with bipolar disorder, given exome data. 500 of the 1000 exome samples were provided for training.","","https://genomeinterpretation.org/CAGI4-bipolar.html","completed","intermediate","2","","\N","2016-04-04","2023-09-28 18:19:48","2023-09-28 18:25:17"
 "223","cagi3-brca","CAGI3: BRCA1 & BRCA2","For each variant, provide the probability that Myriad Genetics has classifie...","In normal cells, the BRCA1 and BRCA2 genes are involved in homologous recombination for double strand break repair and ensure the stability of a cell's genetic material. Mutations in these genes have been linked to development of breast and ovarian cancer. Myriad Genetics created the BRACAnalysis test in order to assess a woman’s risk of developing hereditary breast or ovarian cancer based on detection of mutations in the BRCA1 and BRCA2 genes. This test has become the standard of care in identification of individuals with hereditary breast and ovarian cancer (HBOC) syndrome. It is based on proprietary methods.","","https://genomeinterpretation.org/CAGI3-brca.html","completed","intermediate","2","","\N","2013-04-25","2023-09-28 18:19:48","2023-10-19 23:32:48"
@@ -262,7 +262,7 @@
 "261","finding-ligands-targeting-the-conserved-rna-binding-site-of-sars-cov-2-nsp13","CACHE2: FINDING LIGANDS TARGETING THE CONSERVED RNA BINDING SITE OF SARS-CoV-2 NSP13","Finding ligands targeting the conserved RNA binding site of SARS-CoV-2 NSP13.","Predicted compounds will be procured and tested at CACHE using both enzymatic and binding assays","","https://cache-challenge.org/challenges/finding-ligands-targeting-the-conserved-rna-binding-site-of-sars-cov-2-nsp13","completed","intermediate","17","","2022-06-22","2022-09-04","2023-09-27 19:02:43","2023-10-16 19:01:17"
 "262","finding-ligands-targeting-the-macrodomain-of-sars-cov-2-nsp3","CACHE3: Finding ligands targeting the macrodomain of SARS-CoV-2 Nsp3","Severe acute respiratory syndrome coronavirus 2","To predict ligands that bind to the ADPr site of SARS-CoV-2 Nsp3 macrodomain (Mac1).","","https://cache-challenge.org/challenges/finding-ligands-targeting-the-macrodomain-of-sars-cov-2-nsp3","completed","intermediate","17","","2022-11-02","2023-01-01","2023-09-27 19:03:13","2023-10-16 19:01:19"
 "263","finding-ligands-targeting-the-tkb-domain-of-cblb","CACHE4: Finding ligands targeting the TKB domain of CBLB","Several cancers (PMID-33306199), potential immunotherapy (PMID-24875217), in...","Predict compounds that bind to the closed conformation of the CBLB TKB domain with novel chemical templates and KD below 30 micromolar.","","https://cache-challenge.org/challenges/finding-ligands-targeting-the-tkb-domain-of-cblb","completed","intermediate","17","","2023-03-09","2023-05-09","2023-09-27 19:03:14","2023-10-16 19:01:22"
-"264","jan2024-rare-disease-ai-hackathon","Jan2024: Rare Disease AI Hackathon","Researchers and medical experts are invited to collaborate on our patient ca...","Bring AI and medical experts together to build open source models for rare diseases. Create zero-barrier access to rare disease expertise for patients, researchers and physicians. Use AI to Uncover novel links between rare diseases. Establish validation methods for medical AI models. Jumpstart an open source community for rare disease AI models. Launch models for Beta testing on Hypophosphatasia.ai and EhlersDanlos.ai.","","https://www.rarediseaseaihackathon.org/","active","intermediate","14","","2023-09-30","2024-01-15","2023-09-27 19:10:40","2023-10-12 18:13:38"
+"264","rare-disease-ai-hackathon","Rare Disease AI Hackathon","Researchers and medical experts are invited to collaborate on our patient ca...","Bring AI and medical experts together to build open source models for rare diseases. Create zero-barrier access to rare disease expertise for patients, researchers and physicians. Use AI to Uncover novel links between rare diseases. Establish validation methods for medical AI models. Jumpstart an open source community for rare disease AI models. Launch models for Beta testing on Hypophosphatasia.ai and EhlersDanlos.ai.","","https://www.rarediseaseaihackathon.org/","active","intermediate","14","","2023-09-30","2024-01-15","2023-09-27 19:10:40","2023-10-24 15:56:45"
 "265","cometh-benchmark","COMETH Benchmark","Quantify tumor heterogeneity-how many cell types are present and in which pr...","Successful treatment of cancer is still a challenge and this is partly due to a wide heterogeneity of cancer composition across patient population. Unfortunately, accounting for such heterogeneity is very difficult. Clinical evaluation of tumor heterogeneity often requires the expertise of anatomical pathologists and radiologists.This benchmark is dedicated to the quantification of intra-tumor heterogeneity using appropriate statistical methods on cancer omics data.In particular, it focuses on estimating cell types and proportion in biological samples based on methylation and methylome data sets. The goal is to explore various statistical methods for source separation/deconvolution analysis (Non-negative Matrix Factorization, Surrogate Variable Analysis, Principal component Analysis, Latent Factor Models, ...) using both RNA-seq and methylome data.","","https://www.codabench.org/competitions/218/","completed","intermediate","10","","2020-06-14","2020-12-29","2023-09-28 23:25:52","2023-10-10 19:47:14"
 "266","the-miccai-2014-machine-learning-challenge","The MICCAI 2014 Machine Learning Challenge","Predicting Binary and Continuous Phenotypes from Structural Brain MRI Data","Machine learning tools have been increasingly applied to structural brain magnetic resonance imaging (MRI) scans, largely for developing models to predict clinical phenotypes at the individual level. Despite significant methodological developments and novel application domains, there has been little effort to conduct benchmark studies with standardized datasets, which researchers can use to validate new tools, and more importantly conduct an objective comparison with state-of-the-art algorithms. The MICCAI 2014 Machine Learning Challenge (MLC) will take a significant step in this direction, where we will employ four separate, carefully compiled, and curated large-scale (each N > 70) structural brain MRI datasets with accompanying clinically relevant phenotypes. Our goal is to provide a snapshot of the current state of the art in the field of neuroimage-based prediction, and attract machine-learning practitioners to the MICCAI community and the field of medical image computing in g...","","https://competitions.codalab.org/competitions/1471","completed","intermediate","9","","2014-04-16","2014-06-14","2023-09-28 23:36:12","2023-10-19 23:31:50"
 "267","cagi6-annotate-all-missense","CAGI6: Annotate All Missense","Predictors are asked to predict the functional effect predict each coding SNV.","dbNSFP currently describes 81,782,923 possible protein-altering variants in the human genome. The challenge is to predict the functional effect of every such variant. For the vast majority of these missense and nonsense variants, the functional impact is not currently known, but experimental and clinical evidence is accruing rapidly. Rather than drawing upon a single discrete dataset as typical with CAGI, predictions will be assessed by comparing with experimental or clinical annotations made available after the prediction submission date, on an ongoing basis. If predictors assent, predictions will also be incorporated into dbNSFP.","","https://genomeinterpretation.org/CAGI6-annotate-all-missense.html","completed","intermediate","1","","2021-06-01","2021-10-11","2023-06-23 00:00:00","2023-10-12 18:13:42"
@@ -276,5 +276,6 @@
 "275","cagi6-sherloc-clinical-classification","CAGI6: Sherloc clinical classification","Over 122,000 coding (missense, silent, frameshift, stop gained, in-frame cod...","Invitae is a genetic testing company that publishes their variant interpretations to ClinVar. In this challenge, over 122,000 previously uncharacterized variants are provided, spanning the range of effects seen in the clinic. Following the close of this challenge, Invitae will submit their interpretations for these variants to ClinVar. Predictors are asked to interpret the pathogenicity of these variants, and the clinical utility of predictions will be assessed across multiple categories by Invitae.","","https://genomeinterpretation.org/CAGI6-invitae.html","completed","intermediate","1","","2021-07-08","2021-12-01","2023-06-23 00:00:00","2023-10-12 18:12:31"
 "276","cagi6-splicing-vus","CAGI6: Splicing VUS","Predict whether the experimentally validated variants of unknown significanc...","Variants causing aberrant splicing have been implicated in a range of common and rare disorders, including retinitis pigmentosa, autism spectrum disorder, amyotrophic lateral sclerosis, and a variety of cancers. However, such variants are frequently overlooked by diagnostic sequencing pipelines, leading to missed diagnoses for patients. Clinically ascertained variants of unknown significance underwent whole-blood based RT-PCR to test for impact on splicing. The challenge is to predict which of the tested variants disrupt splicing.","","https://genomeinterpretation.org/CAGI6-splicing-vus.html","completed","intermediate","1","","2021-06-08","2021-10-11","2023-06-23 00:00:00","2023-10-12 18:12:34"
 "277","cagi6-stk11","CAGI6: STK11","Participants are asked to submit predictions on the impact of the variants l...","Serine/Threonine Kinase 11 (STK11) is considered a master kinase that functions as a tumor suppressor and nutrient sensor within a heterotrimeric complex with pseudo-kinase STRAD-alpha and structural protein MO25. Germline variants resulting in loss of STK11 define Peutz-Jaghers Syndrome, an autosomal dominant cancer predisposition syndrome marked by gastrointestinal hamartomas and freckling of the oral mucosa. Somatic loss of function variants, both nonsense and missense, occur in 15-30% of non-small cell lung adenocarcinomas, where they correlate clinically with insensitivity to anti-PD1 monoclonal antibody therapy. The challenge is to predict the impact on STK11 function for each missense variant in relation to wildtype STK11.","","https://genomeinterpretation.org/CAGI6-stk11.html","completed","intermediate","1","","2021-06-08","2021-09-01","2023-06-23 00:00:00","2023-10-12 18:12:38"
-"278","qbi-hackathon","QBI hackathon","A 48-hour event connecting the Bay Area developer community with scientists ...","The QBI hackathon is a 48-hour event connecting the vibrant Bay Area developer community with the scientists from UCSF, UCB and UCSC, during which we work together on the cutting edge biomedical problems. Advances in computer vision, AI, and machine learning have enabled computers to pick out cat videos, recognize people’s faces from photos, play video games and drive cars. More recently, application of deep neural nets to protein structure prediction completely revolutionized the field. We look forward to seeing how far we can push science ahead when we apply these latest algorithms to biomedically relevant light microscopy, electron microscopy, and proteomics data. If you love FFTs, transformers, language models, topological data processing, or simply writing code, this is your chance to apply your skills to make an impact on global healthcare. Beyond the actual event, we hope to establish a better connection between talented developers and scientists in the Bay Area, so that we...","","https://www.eventbrite.com/e/qbi-hackathon-2023-tickets-633794304827?aff=oddtdtcreator","upcoming","intermediate","14","","20231104","20231105","2023-10-06 21:22:51","2023-10-19 23:49:11"
+"278","qbi-hackathon","QBI hackathon","A 48-hour event connecting the Bay Area developer community with scientists ...","The QBI hackathon is a 48-hour event connecting the vibrant Bay Area developer community with the scientists from UCSF, UCB and UCSC, during which we work together on the cutting edge biomedical problems. Advances in computer vision, AI, and machine learning have enabled computers to pick out cat videos, recognize people’s faces from photos, play video games and drive cars. More recently, application of deep neural nets to protein structure prediction completely revolutionized the field. We look forward to seeing how far we can push science ahead when we apply these latest algorithms to biomedically relevant light microscopy, electron microscopy, and proteomics data. If you love FFTs, transformers, language models, topological data processing, or simply writing code, this is your chance to apply your skills to make an impact on global healthcare. Beyond the actual event, we hope to establish a better connection between talented developers and scientists in the Bay Area, so that we...","","https://www.eventbrite.com/e/qbi-hackathon-2023-tickets-633794304827?aff=oddtdtcreator","upcoming","intermediate","14","","2023-11-04","2023-11-05","2023-10-06 21:22:51","2023-10-26 23:23:36"
 "279","niddk-central-repository-data-centric-challenge","NIDDK Central Repository Data-Centric Challenge","Enhancing NIDDK datasets for future Artificial Intelligence (AI) applications.","The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository (https://repository.niddk.nih.gov/home/) is conducting a Data Centric Challenge aimed at augmenting existing Repository data for future secondary research including data-driven discovery by artificial intelligence (AI) researchers. The NIDDK Central Repository (NIDDK-CR) program strives to increase the utilization and impact of the resources under its guardianship. However, lack of standardization and consistent metadata within and across studies limit the ability of secondary researchers to easily combine datasets from related studies to generate new insights using data science methods. In the fall of 2021, the NIDDK-CR began implementing approaches to augment data quality to improve AI-readiness by making research data FAIR (findable, accessible, interoperable, and reusable) via a small pilot project utilizing Natural Language Processing (NLP) to tag study variables. In 2022, the NIDD...","","https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge","active","intermediate","14","","2023-09-20","2023-11-03","2023-10-18 16:58:17","2023-10-18 20:52:49"
+"280","stanford-ribonanza-rna-folding","Stanford Ribonanza RNA Folding","Your goal: to create a model that predicts the structures of any RNA molecul...","Ribonucleic acid (RNA) is essential for most biological functions. A better understanding of how to manipulate RNA could help usher in an age of programmable medicine, including first cures for pancreatic cancer and Alzheimer’s disease as well as much-needed antibiotics and new biotechnology approaches for climate change. But first, researchers must better understand each RNA molecule's structure, an ideal problem for data science.","","https://www.kaggle.com/competitions/stanford-ribonanza-rna-folding","active","intermediate","8","","2023-08-23","2023-11-24","2023-10-23 20:58:06","2023-10-25 18:37:58"
diff --git a/apps/openchallenges/challenge-service/src/main/resources/db/contribution_roles.csv b/apps/openchallenges/challenge-service/src/main/resources/db/contribution_roles.csv
index 7e63f19127..74bdefd68b 100644
--- a/apps/openchallenges/challenge-service/src/main/resources/db/contribution_roles.csv
+++ b/apps/openchallenges/challenge-service/src/main/resources/db/contribution_roles.csv
@@ -191,821 +191,811 @@
 "190","18","23","challenge_organizer"
 "191","18","149","data_contributor"
 "192","18","99","data_contributor"
-"193","18","149","data_contributor"
-"194","18","156","sponsor"
-"195","18","81","sponsor"
-"196","18","138","sponsor"
-"197","19","171","challenge_organizer"
-"198","19","64","challenge_organizer"
-"199","19","229","challenge_organizer"
-"200","19","59","challenge_organizer"
-"201","19","59","sponsor"
-"202","20","171","challenge_organizer"
-"203","20","205","challenge_organizer"
-"204","20","128","challenge_organizer"
-"205","20","93","challenge_organizer"
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-"207","20","73","challenge_organizer"
-"208","20","170","challenge_organizer"
-"209","20","118","challenge_organizer"
-"210","20","23","challenge_organizer"
-"211","20","111","challenge_organizer"
-"212","20","205","data_contributor"
-"213","20","180","sponsor"
-"214","21","179","challenge_organizer"
-"215","21","171","challenge_organizer"
-"216","21","128","challenge_organizer"
-"217","21","93","challenge_organizer"
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-"219","21","150","challenge_organizer"
-"220","21","115","challenge_organizer"
-"221","21","23","challenge_organizer"
-"222","21","69","data_contributor"
-"223","22","220","challenge_organizer"
-"224","22","91","challenge_organizer"
-"225","22","127","challenge_organizer"
-"226","22","95","challenge_organizer"
-"227","22","128","challenge_organizer"
-"228","22","93","challenge_organizer"
-"229","22","171","challenge_organizer"
-"230","22","23","challenge_organizer"
-"231","22","64","data_contributor"
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-"233","23","232","challenge_organizer"
-"234","23","128","challenge_organizer"
-"235","23","93","challenge_organizer"
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-"237","23","150","challenge_organizer"
-"238","23","149","challenge_organizer"
-"239","23","171","challenge_organizer"
-"240","23","23","challenge_organizer"
-"241","23","99","data_contributor"
-"242","23","131","data_contributor"
-"243","23","149","data_contributor"
-"244","23","138","sponsor"
-"245","23","81","sponsor"
-"246","23","156","sponsor"
-"247","23","131","sponsor"
-"248","24","171","challenge_organizer"
-"249","24","93","challenge_organizer"
-"250","24","106","challenge_organizer"
-"251","24","128","challenge_organizer"
-"252","24","175","challenge_organizer"
-"253","24","189","challenge_organizer"
-"254","24","36","data_contributor"
-"255","24","128","data_contributor"
-"256","24","110","sponsor"
-"257","24","80","sponsor"
-"258","24","236","sponsor"
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-"260","24","20","sponsor"
-"261","25","47","challenge_organizer"
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-"264","25","193","data_contributor"
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-"267","25","89","data_contributor"
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diff --git a/apps/openchallenges/challenge-service/src/main/resources/db/incentives.csv b/apps/openchallenges/challenge-service/src/main/resources/db/incentives.csv
index 07993bc495..679ab2cca0 100644
--- a/apps/openchallenges/challenge-service/src/main/resources/db/incentives.csv
+++ b/apps/openchallenges/challenge-service/src/main/resources/db/incentives.csv
@@ -309,3 +309,5 @@
 "308","publication","279"
 "309","speaking_engagement","279"
 "310","other","279"
+"311","monetary","280"
+"312","speaking_engagement","280"
diff --git a/apps/openchallenges/challenge-service/src/main/resources/db/platforms.csv b/apps/openchallenges/challenge-service/src/main/resources/db/platforms.csv
index 0092f9bb2a..0cf55dfe15 100644
--- a/apps/openchallenges/challenge-service/src/main/resources/db/platforms.csv
+++ b/apps/openchallenges/challenge-service/src/main/resources/db/platforms.csv
@@ -1,5 +1,5 @@
 "id","slug","name","avatar_url","website_url","created_at","updated_at"
-"1","synapse","Synapse","logo/synapse.png","https://synapse.org/","2023-08-09 23:01:32","2023-10-19 21:50:21"
+"1","synapse","Synapse","logo/synapse.png","https://synapse.org/","2023-08-09 23:01:32","2023-10-25 18:33:43"
 "2","drupal","Drupal","logo/drupal.png","https://www.drupal.org/","2023-08-09 23:01:32","2023-10-19 21:50:23"
 "3","cami","CAMI","logo/cami.png","https://data.cami-challenge.org/","2023-08-09 23:01:32","2023-10-19 21:50:25"
 "5","grand-challenge","Grand Challenge","logo/grand-challenge.png","https://grand-challenge.org/","2023-08-09 23:01:32","2023-10-19 21:50:26"
@@ -12,4 +12,4 @@
 "14","other","Other","","","2023-08-09 23:01:32","2023-10-19 21:50:34"
 "15","nightingale-os","Nightingale OS","logo/nightingale-os.jpeg","https://app.nightingalescience.org/","2023-08-22 15:58:49","2023-10-19 21:50:35"
 "16","evalai","EvalAI","logo/evalai.png","https://eval.ai/","2023-09-15 16:00:34","2023-10-19 21:50:36"
-"17","cache","CACHE","logo/cache.png","https://cache-challenge.org/","2023-10-16 18:43:36","2023-10-19 21:50:36"
+"17","cache","CACHE","logo/cache.png","https://cache-challenge.org/","2023-10-16 18:43:36","2023-10-25 19:47:54"
diff --git a/apps/openchallenges/challenge-service/src/main/resources/db/submission_types.csv b/apps/openchallenges/challenge-service/src/main/resources/db/submission_types.csv
index 5b2addd19c..a7bbea285f 100644
--- a/apps/openchallenges/challenge-service/src/main/resources/db/submission_types.csv
+++ b/apps/openchallenges/challenge-service/src/main/resources/db/submission_types.csv
@@ -293,3 +293,7 @@
 "292","container_image","278"
 "293","prediction_file","279"
 "294","notebook","279"
+"295","prediction_file","280"
+"296","container_image","280"
+"297","notebook","280"
+"298","other","280"
diff --git a/apps/openchallenges/organization-service/src/main/resources/db/contribution_roles.csv b/apps/openchallenges/organization-service/src/main/resources/db/contribution_roles.csv
index 7e63f19127..74bdefd68b 100644
--- a/apps/openchallenges/organization-service/src/main/resources/db/contribution_roles.csv
+++ b/apps/openchallenges/organization-service/src/main/resources/db/contribution_roles.csv
@@ -191,821 +191,811 @@
 "190","18","23","challenge_organizer"
 "191","18","149","data_contributor"
 "192","18","99","data_contributor"
-"193","18","149","data_contributor"
-"194","18","156","sponsor"
-"195","18","81","sponsor"
-"196","18","138","sponsor"
-"197","19","171","challenge_organizer"
-"198","19","64","challenge_organizer"
-"199","19","229","challenge_organizer"
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diff --git a/apps/openchallenges/organization-service/src/main/resources/db/organizations.csv b/apps/openchallenges/organization-service/src/main/resources/db/organizations.csv
index b59e3011dd..be6cd2302f 100644
--- a/apps/openchallenges/organization-service/src/main/resources/db/organizations.csv
+++ b/apps/openchallenges/organization-service/src/main/resources/db/organizations.csv
@@ -1,5 +1,5 @@
 "id","name","email","login","avatar_url","website_url","description","challenge_count","created_at","updated_at","acronym"
-"1","Dialogue on Reverse Engineering Assessment and Methods","dream@sagebionetworks.org","dream","logo/dream.png","https://dreamchallenges.org","Together, we share a vision to enable individuals and groups to collaborate openly so that the “wisdom of the crowd” provides the greatest impact on science and human health.","71","2023-08-04 07:33:09","2023-10-14 05:51:21","DREAM"
+"1","Dialogue on Reverse Engineering Assessment and Methods","dream@sagebionetworks.org","dream","logo/dream.png","https://dreamchallenges.org","Together, we share a vision to enable individuals and groups to collaborate openly so that the “wisdom of the crowd” provides the greatest impact on science and human health.","71","2023-08-04 07:33:09","2023-10-25 18:33:18","DREAM"
 "3","Critical Assessment of protein Function Annotation","","cafa","logo/cafa.png","https://www.biofunctionprediction.org/cafa/","The Critical Assessment of protein Function Annotation algorithms (CAFA) is an experiment designed to assess the performance of computational methods dedicated to predicting protein function, often using a time challenge. Briefly, CAFA organizers provide a large number of unannotated or incompletely annotated protein sequences. The predictors then predict the function of these proteins by associating them with Gene Ontology terms or Human Phenoytpe Ontology terms. Following the prediction deadline, there is a wait period of several months during which some proteins whose functions were unknown will receive experimental verification. Those proteins constitute the benchmark set, against which the methods are tested. Other data sources include experiments by wet lab collaborators and biocuration dedicated to CAFA.","2","2023-06-23 00:00:00","2023-10-20 18:39:12","CAFA"
 "4","Critical Assessment of Genome Interpretation","CAGI@genomeinterpretation.org","cagi","logo/CAGI.png","https://genomeinterpretation.org/challenges.html","The Critical Assessment of Genome Interpretation (CAGI) is a community experiment to objectively assess computational methods for predicting the phenotypic impacts of genomic variation. CAGI participants are provided genetic variants and make predictions of resulting phenotypes. These predictions are evaluated against experimental data by independent assessors.","26","2023-06-23 00:00:00","2023-10-16 21:23:31","CAGI"
 "7","Critical Assessment of Metagenome Interpretation","","cami","logo/cami.png","https://data.cami-challenge.org/","CAMI, the initiative for the “Critical Assessment of Metagenome Interpretation” aims to evaluate methods in metagenomics independently, comprehensively and without bias. The initiative supplies users with exhaustive quantitative data about the performance of methods in all relevant scenarios. It therefore guides users in the selection and application of methods and in their proper interpretation. Furthermore it provides valuable information to developers, allowing them to identify promising directions for their future work. CAMI organized in 2015 the first community driven benchmarking challenge in metagenomics. For the second CAMI challenge (starting on January 16th, 2019) visit https://data.cami-challenge.org","2","2023-06-23 00:00:00","2023-07-26 20:13:21","CAMI"
@@ -82,7 +82,7 @@
 "88","Harvard University","","harvard","logo/harvard.jpg","https://www.harvard.edu/","As a research university and nonprofit institution, Harvard is focused on creating educational opportunities for people from many lived experiences.","3","2023-06-23 00:00:00","2023-07-26 20:14:26",""
 "89","Heidelberg University","","heidelberg-university","logo/heidelberg-university.jpg","https://www.heidelberg.edu/","A day at Heidelberg University is filled with connection. Whether it's walking to class, receiving one-on-one instruction from excellent faculty, or perfecting new skills at practice, students are uplifted every moment. Each time a Student Prince makes their own success, they know they have a dedicated community standing behind them.","10","2023-06-23 00:00:00","2023-07-26 20:14:27",""
 "90","HistoSonics Inc.","","histosonics","logo/histosonics.jpg","https://histosonics.com/","Minimally invasive isn't minimal enough. HistoSonics(R) is developing a non-invasive, sonic beam therapy platform capable of destroying tissue at a sub-cellular level.","1","2023-06-23 00:00:00","2023-07-26 20:14:28",""
-"91","Hospital for Sick Children","","sickkids","logo/sickkids.jpg","https://www.sickkids.ca/Research/","SickKids Research Institute (RI) is where over 2,000 researchers, trainees, and staff are working together to take on the toughest challenges in child health. As Canada's largest, hospital-based child health research institute, we conduct and translate groundbreaking research to improve child health outcomes, policy, and clinical care, train the next generation of researchers, and support global scientific communities with knowledge and state-of-the-art facilities.  Innovation and collaboration across our seven distinct research programs have led to a number of incredible discoveries at SickKids, uncovering the mechanisms and outcomes of childhood disease. And with every research question in the lab, we are driving clinical changes.","3","2023-06-23 00:00:00","2023-07-26 20:14:28",""
+"91","Hospital for Sick Children","","sickkids","logo/sickkids.jpg","https://www.sickkids.ca/Research/","SickKids Research Institute (RI) is where over 2,000 researchers, trainees, and staff are working together to take on the toughest challenges in child health. As Canada's largest, hospital-based child health research institute, we conduct and translate groundbreaking research to improve child health outcomes, policy, and clinical care, train the next generation of researchers, and support global scientific communities with knowledge and state-of-the-art facilities.  Innovation and collaboration across our seven distinct research programs have led to a number of incredible discoveries at SickKids, uncovering the mechanisms and outcomes of childhood disease. And with every research question in the lab, we are driving clinical changes.","4","2023-06-23 00:00:00","2023-07-26 20:14:28",""
 "92","Human Protein Atlas","","hpa","logo/hpa.png","www.proteinatlas.org","The Human Protein Atlas is a Swedish-based program initiated in 2003 with the aim to map the expression and spatial distribution of all human proteins in cells and tissues using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics and systems biology. The data is freely available in the Protein Atlas database (www.proteinatlas.org) to allow scientists both in academia and industry to freely access the data for exploration of the human proteome with the mission to accelerate life science research and drug discovery.The database is used by over 200,000 users per month and nearly 10 publications per day use data from the Protein Atlas.\n\nThe image data in the challenge comes from the HPA Cell Atlas, led by Dr. Emma Lundberg.","1","2023-06-23 00:00:00","2023-07-26 20:14:29","HPA"
 "93","International Business Machines Corporation","","ibm","logo/ibm.svg","https://www.research.ibm.com/","At IBM Research we live by the scientific method. It's at the core of everything we do. We choose impact over market cycles, vision over vanity. We deeply believe that creative freedom, excellence, and integrity are essential to any breakthrough. We operate with a backbone. We don't cut corners. We take responsibility for technology and its role in society. We make decisions with a conscience — for a future that we believe is worth living in. We recognize the immense power and potential of computing — not as a commodity, but as an agent of progress and connection.  This is the future, built right.","37","2023-06-23 00:00:00","2023-07-26 20:14:30","IBM"
 "94","Innovative Medicines Initiative","","imi","logo/imi.png","http://www.imi.europa.eu/","At the Innovative Medicines Initiative (IMI), we are working to improve health by speeding up the development of, and patient access to, innovative medicines, particularly in areas where there is an unmet medical or social need. We do this by facilitating collaboration between the key players involved in health research, including universities, research centres, the pharmaceutical and other industries, small and medium-sized enterprises (SMEs), patient organisations, and medicines regulators. IMI is the world's biggest public-private partnership (PPP) in the life sciences. It is a partnership between the European Union (represented by the European Commission) and the European pharmaceutical industry (represented by EFPIA, the European Federation of Pharmaceutical Industries and Associations). Through the IMI2 programme, we have a €3.3 billion budget for the period 2014-2020.","1","2023-06-23 00:00:00","2023-07-26 20:14:30","IMI"
@@ -96,7 +96,7 @@
 "102","International Society for Computational Biology","","iscb","logo/iscb.png","https://www.iscb.org/cms_addon/conferences/ismbeccb2021/tracks/function","Society membership reflects commitment toward the advancement of computational biology. The ISCB is an international non-profit organization whose members come from the global bioinformatics and computational biology communities. The ISCB serves its global membership by providing high-quality meetings, publications, and reports on methods and tools; by disseminating key information about bioinformatics resources and relevant news from related fields; and by actively facilitating training, education, employment, career development, and networking. We advocate and provide leadership for resources and policies in support of scientific endeavors and to benefit society at large.","2","2023-06-23 00:00:00","2023-07-26 20:14:40","ISCB"
 "103","Intuitive Surgical Inc.","","intuitive","logo/intuitive.jpg","https://www.intuitive.com/en-us","Intuitive advances minimally invasive care by innovating at the point of possibility. For nearly three decades we've created products and services born of inspiration and intelligence—from robotic-assisted surgical systems to data generation that unlocks the potential to benefit care systems worldwide.  We work closely and collaboratively with our customers to help achieve better outcomes, better care team experiences, better patient experiences, and lower cost of care. Together, we envision a future of care that's less invasive, profoundly better, and where diseases are identified early and treated quickly so patients can get back to what matters most.","1","2023-06-23 00:00:00","2023-07-26 20:14:41",""
 "104","Iowa State University","contact@iastate.edu","iowa-state-university","logo/iowa-state-university.png","https://www.iastate.edu/","Iowa State is a large university with a small feel. Forge lifelong friendships and earn a degree that will take you anywhere.","2","2023-06-23 00:00:00","2023-07-26 20:14:42",""
-"105","Kaggle","","kaggle","logo/kaggle.png","https://www.kaggle.com/","Kaggle is a community of data scientists and data enthusiasts. Our platform enables you to learn from and mentor each other on your personal, academic, and professional data science journeys. \n\nTo get involved, you can [enter a machine learning competition](https://www.kaggle.com/competitions), [publish an open dataset](https://www.kaggle.com/datasets), or [share code in our reproducible data science environment](https://www.kaggle.com/kernels). \n\nKaggle's headquarters is located in San Francisco, but we have team members working from across the US and Australia. [Join our team](https://www.kaggle.com/careers) from wherever you call home.","2","2023-06-23 00:00:00","2023-10-12 17:44:31",""
+"105","Kaggle","","kaggle","logo/kaggle.png","https://www.kaggle.com/","Kaggle is a community of data scientists and data enthusiasts. Our platform enables you to learn from and mentor each other on your personal, academic, and professional data science journeys. \n\nTo get involved, you can [enter a machine learning competition](https://www.kaggle.com/competitions), [publish an open dataset](https://www.kaggle.com/datasets), or [share code in our reproducible data science environment](https://www.kaggle.com/kernels). \n\nKaggle's headquarters is located in San Francisco, but we have team members working from across the US and Australia. [Join our team](https://www.kaggle.com/careers) from wherever you call home.","3","2023-06-23 00:00:00","2023-10-12 17:44:31",""
 "106","Kaiser Permanente Washington Health Research Institute","","kpwhri","logo/kpwhri.jpg","https://www.kpwashingtonresearch.org/","Kaiser Permanente Washington Health Research Institute (KPWHRI) is the non-proprietary, public-interest research center within Kaiser Permanente Washington, a nonprofit health system based in Seattle. Kaiser Permanente Washington provides coverage and care for more than 710,170 people in Washington.  Our research produces timely, relevant findings that help people everywhere stay healthy and get the care they need. From testing new vaccines to helping people quit smoking to finding ways to delay or prevent Alzheimer's disease, our discoveries have helped millions of people worldwide lead healthier, happier lives.","1","2023-06-23 00:00:00","2023-07-26 20:14:44","KPWHRI"
 "107","King's College London","","kcl","logo/kcl.jpg","https://www.kcl.ac.uk/","King's College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place.","2","2023-06-23 00:00:00","2023-07-26 20:14:44","KCL"
 "108","Knowledge Engine for Genomics","knoweng@illinois.edu","knoweng","logo/knoweng.png","https://knoweng.org/","KnowEnG, The Knowledge Engine for Genomics, will transform the way biomedical researchers analyze their genome-wide data by integrating multiple analytical methods derived from the most advanced data mining and machine learning research. Embedded with the breadth of existing knowledge of genes, and an intuitive and professionally designed user interface, the Knowledge Engine platform provides advanced capabilities in data analytics. The KnowEnG environment is deployed in a cloud infrastructure and will be fully available to the research community, as will be the software developed by the Center.","1","2023-06-23 00:00:00","2023-07-26 20:14:45",""
@@ -169,7 +169,7 @@
 "176","Semmelweis University","","semmelweis-university","logo/semmelweis-university.png","https://semmelweis.hu/english/","Semmelweis University is a leading institution of higher education in Hungary and the Central European region within the area of medicine and health sciences. Its main commitment is based on the integrity of  education, research and healing, which make Semmelweis University an internationally renowned centre of  knowledge.","2","2023-06-23 00:00:00","2023-07-26 20:15:43",""
 "177","Sentieon","​info@sentieon.com","sentieon","logo/sentieon.jpg","https://www.sentieon.com/","Sentieon(R), incorporated in July 2014, develops highly-optimized algorithms for bioinformatics applications, using the team's expertise in algorithm, software, and system optimization.  Sentieon(R) is a team of professionals experienced in image processing, telecom, computational lithography, large-scale data mining, and bioinformatics. Using our accumulated expertise in modeling, optimization, machine learning, and high-performance computing, we strive to enable precision data for precision medicine.","1","2023-06-23 00:00:00","2023-07-26 20:15:44",""
 "178","Siemens Healthineers","","siemens-healthineers","logo/siemens-healthineers.jpg","https://www.siemens-healthineers.com/","We pioneer breakthroughs in healthcare. For everyone. Everywhere.","1","2023-06-23 00:00:00","2023-07-26 20:15:45",""
-"179","Stanford University","","stanford","logo/stanford.jpg","https://www.stanford.edu/","Stanford was founded almost 150 years ago on a bedrock of societal purpose. Our mission is to contribute to the world by educating students for lives of leadership and purposeful contribution; advancing fundamental knowledge and cultivating creativity; and accelerating solutions and amplifying their impact.","17","2023-06-23 00:00:00","2023-07-26 20:15:46",""
+"179","Stanford University","","stanford","logo/stanford.jpg","https://www.stanford.edu/","Stanford was founded almost 150 years ago on a bedrock of societal purpose. Our mission is to contribute to the world by educating students for lives of leadership and purposeful contribution; advancing fundamental knowledge and cultivating creativity; and accelerating solutions and amplifying their impact.","18","2023-06-23 00:00:00","2023-07-26 20:15:46",""
 "180","Swiss Initiative in Systems Biology","admin@systemsx.ch","systemsx","logo/systemsx.jpg","http://www.systemsx.ch/","SystemsX.ch is the largest ever public research initiative in Switzerland and focuses specifically on a broad topical area of basic research. The initiative advances systems biology in our country with the claim of belonging to the best in the world in this area of research.","1","2023-06-23 00:00:00","2023-07-26 20:15:47",""
 "181","Takeda","","takeda","logo/takeda.jpg","https://www.takeda.com/en-us/","Takeda is a patient-focused, values-based, R&D-driven global biopharmaceutical company committed to bringing Better Health and a Brighter Future to people worldwide. Our passion and pursuit of potentially life-changing treatments for patients are deeply rooted in over 230 years of distinguished history in Japan.","2","2023-06-23 00:00:00","2023-07-26 20:15:48",""
 "182","Texas Biomedical Research Institute","","texas-biomedical-research-institute","logo/texas_biomed.png","https://www.txbiomed.org/","Texas Biomedical Research Institute is pioneering and sharing scientific breakthroughs to protect you, your families and our global community from the threat of infectious diseases. The Institute has an 80-year history of success that includes work on the first COVID-19 vaccine and therapies, the first Ebola treatment, the first Hepatitis-C therapy, and thousands of developmental discoveries. Texas Biomed helps create healthier communities with science that inspires new generations through STEM education programs, delivers jobs and economic impact in our community and heals through innovative research. Learn more about how you can #Stand4Science.","1","2023-06-23 00:00:00","2023-07-26 20:15:50",""
@@ -212,9 +212,9 @@
 "219","University of Texas Southwestern Medical Center","","ut-southwestern","logo/ut-swestern.gif","https://www.utsouthwestern.edu/","UT Southwestern, one of the premier academic medical centers in the nation, integrates pioneering biomedical research with exceptional clinical care and education. The institution's faculty includes many distinguished members, including six who have been awarded Nobel Prizes since 1985. The faculty of more than 2,800 is responsible for groundbreaking medical advances and is committed to translating science-driven research quickly to new clinical treatments. UT Southwestern physicians provide medical care in about 80 specialties to more than 105,000 hospitalized patients, nearly 370,000 emergency room cases, and oversee approximately 3 million outpatient visits a year.","2","2023-06-23 00:00:00","2023-07-26 20:16:21",""
 "220","University of Toronto","","utoronto","logo/utoronto.png","https://www.utoronto.ca/","We are proud to be one of the world's top research-intensive universities, bringing together top minds from every conceivable background and discipline to collaborate on the world's most pressing challenges.  Our community is a catalyst for discovery, innovation and progress, creating knowledge and solutions that make a tangible difference around the globe. And we prepare our students for success through an outstanding global education rooted in excellence, inclusion and close-knit learning communities.  The ideas, innovations and contributions of more than 660,000 graduates advance U of T's impact on communities across the globe.  Together, we continue to defy gravity by taking on what might seem unattainable today and generating the ideas and talent needed to build a more equitable, sustainable and prosperous future.","10","2023-06-23 00:00:00","2023-07-26 20:16:21","U of T"
 "221","University of Vermont","","uvm","logo/the-university-of-vermont.png","https://www.uvm.edu/","UVM is a top research university of ideal size, large enough to offer a breadth of ideas, resources, and opportunities, yet scaled to enable close faculty-student mentorship across all levels of study, from bachelor's to doctoral programs.","1","2023-06-23 00:00:00","2023-07-26 20:16:22","UVM"
-"222","University of Verona","relazioni.internazionali@ateneo.univr.it","university-of-verona","logo/university-of-verona.png","https://www.univr.it/en/international","","1","2023-06-23 00:00:00","2023-07-26 20:16:22",""
+"222","University of Verona","relazioni.internazionali@ateneo.univr.it","university-of-verona","logo/university-of-verona.png","https://www.univr.it/en/international","The University of Verona strives for excellence in teaching, research and innovation. It has 22,000 students and 1,500 staff including lecturers, researchers, technical and administrative personnel who work to continually improve and grow the university. A forward-thinking institution which continuously seeks to strengthen the link between its degree courses and the real world of work, the university's main objective for the near future is to become progressively more welcoming and adapted to student needs.","1","2023-06-23 00:00:00","2023-10-27 20:11:57",""
 "223","University of Virginia","","uva","logo/uva_primary_logo.jpg","https://www.virginia.edu/","The University is an iconic public institution of higher education, boasting nationally ranked schools and programs, diverse and distinguished faculty, a major academic medical center and proud history as a renowned research university. The community and culture of the University are enriched by active student self-governance, sustained commitment to the arts and a robust NCAA Division I Athletics program.","1","2023-06-23 00:00:00","2023-07-26 20:16:24","UVA"
-"224","University of Washington","","uw","logo/uw.svg","https://www.washington.edu/","Since our founding in 1861, the University of Washington has been a hub for learning, innovation, problem solving and community building. Driven by a mission to serve the greater good, our students, faculty and staff tackle today's most pressing challenges with courage and creativity, making a difference across Washington state — and around the world.","7","2023-06-23 00:00:00","2023-07-26 20:16:25","UW"
+"224","University of Washington","","uw","logo/uw.svg","https://www.washington.edu/","Since our founding in 1861, the University of Washington has been a hub for learning, innovation, problem solving and community building. Driven by a mission to serve the greater good, our students, faculty and staff tackle today's most pressing challenges with courage and creativity, making a difference across Washington state — and around the world.","8","2023-06-23 00:00:00","2023-07-26 20:16:25","UW"
 "225","University of Wisconsin-Madison","","uw-madison","logo/uw-logo.png","https://www.wisc.edu/","Since its founding in 1848, this campus has been a catalyst for the extraordinary. As a public land-grant university and major research institution, our students, staff, and faculty engage in a world-class education while solving real-world problems. With public service — or as we call it, the Wisconsin Idea — as our guiding principle, Badgers are creating a better future for everyone.","1","2023-06-23 00:00:00","2023-07-26 20:16:26",""
 "226","University of Zurich","","uzh","logo/uzh.png","https://www.uzh.ch/en.html","With its 28,000 enrolled students, the University of Zurich is Switzerland's largest university. Founded in the year 1833, UZH was Europe's first university to be established by a democratic political system. Made up of seven faculties covering some 100 different subject areas, the University offers a wide variety of Bachelor's, Master's and PhD programs.","4","2023-06-23 00:00:00","2023-07-26 20:16:26","UZH"
 "227","Urban Green Energy","","uge","logo/ugei-logo.svg","https://www.ugei.com/","Since 2008 when our journey began, we've been focused on expanding utilization of renewable energy. In our early days, we worked on finding use cases for clean energy technologies before they were widely adopted, building projects ranging from wind and solar microgrids in remote locations, to lighting the Eiffel Tower with 100% renewable energy in 2014. Over time we turned our focus entirely to solar and battery storage in the U.S. where we're building a growing portfolio of distributed energy assets, Leaning on more than a decade of experience across 700 projects totaling more than 500 megawatts, we're proud to be making a significant impact on the world's transition to clean energy, and we're just getting started.","1","2023-06-23 00:00:00","2023-07-26 20:16:28","UGE"
@@ -246,7 +246,7 @@
 "253","Dana-Farber Brigham Cancer Center","","dana-farber-brigham-cancer-center","logo/bwh.png","https://www.brighamandwomens.org/cancer","At Dana-Farber Brigham Cancer Center, all we do is cancer. Because no two people are the same, our approach to treatment and care is personalized - with a deep understanding of your cancer and how to get you well.  Through our 12 specialized disease treatment centers, experts from our two organizations, Dana-Farber Cancer Institute and Brigham and Women’s Hospital, work together as one team to offer the most advanced treatments with compassion and care that makes all the difference.","1","2023-06-23 00:00:00","2023-10-16 21:47:47",""
 "254","Lacunda Fund","secretariat@lacunafund.org","lacunda-fund","logo/lacuna-fund.jpg","https://lacunafund.org/","Lacuna Fund is the world’s first collaborative effort to provide data scientists, researchers, and social entrepreneurs in low- and middle-income contexts globally with the resources they need to produce labeled datasets that address urgent problems in their communities.","1","2023-06-23 00:00:00","2023-10-16 21:55:03",""
 "255","MLCommons","","mlcommons","logo/mlc.jpg","https://mlcommons.org/en/","The mission of MLCommons(R) is to accelerate machine learning innovation and increase its positive impact on society. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices.  Every major technological advance follows a similar trajectory towards universal adoption and impact. The arc from research to broad accessibility generally takes from 30-40 years: from early automobiles to the family car, from development of ARPANET to the mainstream World Wide Web, from the first cellular phones to an smartphone in every pocket. Each of these examples started with technological breakthroughs, but for decades was limited by expertise, access, and expense.  Machine learning is no different. ML and artificial intelligence have been around for decades, but even today ...","1","2023-06-23 00:00:00","2023-10-16 21:55:21",""
-"256","Harvard Medical School","","hms","logo/hms.jpg","https://hms.harvard.edu/","Since the School was established in 1782, faculty members have improved human health by innovating in their roles as physicians, mentors and scholars. They’ve piloted educational models, developed new curricula to address emerging needs in health care, and produced thousands of leaders and compassionate caregivers who are shaping the fields of science and medicine throughout the world with their expertise and passion.","7","2023-08-04 06:00:47","2023-08-04 23:38:09","HMS"
+"256","Harvard Medical School","","hms","logo/hms.jpg","https://hms.harvard.edu/","Since the School was established in 1782, faculty members have improved human health by innovating in their roles as physicians, mentors and scholars. They’ve piloted educational models, developed new curricula to address emerging needs in health care, and produced thousands of leaders and compassionate caregivers who are shaping the fields of science and medicine throughout the world with their expertise and passion.","8","2023-08-04 06:00:47","2023-08-04 23:38:09","HMS"
 "257","Centre for Structural Systems Biology","info@cssb-hamburg.de","cssb-hamburg","logo/cssb.jpeg","https://www.cssb-hamburg.de/","CSSB is a joint initiative of nine research partners from Northern Germany, including three universities and six research institutes that devotes itself to infection biology research.","1","2023-08-04 22:00:31","2023-10-16 20:44:20","CSSB"
 "258","University Medical Center Groningen","","umcg","logo/umcg.jpg","https://www.umcg.nl/","The University Medical Center Groningen (UMCG) is one of the largest hospitals in the Netherlands and is the largest employer in the Northern Netherlands. The more than 12,000 employees work together on care, research, training and education with the common goal: building the future of health.","1","2023-08-04 22:07:45","2023-10-16 21:55:55","UMCG"
 "259","Eindhoven University of Technology","","tue","logo/tue.jpeg","https://www.tue.nl/en/","We educate students and advance knowledge in science & technology for the benefit of humanity. We integrate education and research to enable our students and scientists to become thought leaders and to design and achieve the unimaginable. In close collaboration with our public and private partners, we translate our basic research into meaningful solutions.","1","2023-08-04 22:12:40","2023-10-16 20:47:30","TU/e"
@@ -322,28 +322,21 @@
 "329","Karolinska Institute","","ki","","https://ki.se/en","Karolinska Institutet is one of the world’s leading medical universities. Our vision is to advance knowledge about life and strive towards better health for all. Karolinska Institutet accounts for the single largest share of all academic medical research conducted in Sweden and offers the country’s broadest range of education in medicine and health sciences. The Nobel Assembly at Karolinska Institutet selects the Nobel laureates in Physiology or Medicine.","1","2023-09-15 17:24:17","2023-10-06 20:44:50","KI"
 "330","Research to the People","hello@researchtothepeople.org","research-to-the-people","logo/research-to-the-people.png","https://www.researchtothepeople.org/","Research to the People is a patient-partnered research program for open Oncology and Rare Disease Cases.","1","2023-09-28 21:15:01","2023-10-06 20:58:33",""
 "331","Swiss Federal Institute of Technology Lausanne","","epfl","","https://www.epfl.ch","The École polytechnique fédérale de Lausanne is a public research university in Lausanne, Switzerland. Established in 1853, EPFL has placed itself as a university specializing in engineering and natural sciences.","0","2023-10-05 02:44:50","2023-10-05 02:46:12","EPFL"
-"332","Jasper Rine's lab","","jasper-rines-lab","","https://vcresearch.berkeley.edu/faculty/jasper-rine","Jasper Rine is a Howard Hughes Medical Institute Professor and Professor of the Graduate School Division of Genetics, Genomics, Evolution, and Development.  The research in his lab is focused on the yeast Saccharomyces cerevisiae in which they use genetic analysis to explore issues of gene regulation and cell biology. In addition, they are developing genomic-based approaches to the study of cells by parallel analysis of the expression of all genes simultaneously. Their goal is to create a new kind of genetic analysis in which the genome is used as the unit of function, rather than individual genes or proteins. The gene regulation work focuses on the coupling between certain origins of DNA replication and the establishment of domains with different transcriptional states. The cell biology work focuses on the regulation of the cholesterol biosynthetic pathway and the roles intermediates of this pathway play in the covalent modification of numerous proteins including the Ras oncoprot...","0","2023-10-06 20:14:33","2023-10-14 05:15:53",""
-"333","Sean Tavtigian, University of Utah","","sean-tavtigian,-university-of-utah","","https://medicine.utah.edu/faculty/sean-v-tavtigian","","3","2023-10-06 20:17:06","2023-10-06 20:22:51",""
-"334","George Church, Harvard Medical School","","george-church,-harvard-medical-school","","https://wyss.harvard.edu/team/core-faculty/george-church/","","1","2023-10-06 20:22:09","2023-10-06 20:59:14",""
-"335","Joe W. Gray, Lawrence Berkeley National Laboratory.","","joe-w-gray,-lawrence-berkeley-national-laboratory","","https://www.ohsu.edu/people/joe-w-gray-phd","","0","2023-10-06 20:22:09","2023-10-14 06:57:20",""
-"336","Andre Franke, Christian-Albrechts-Universität zu Kiel","","andre-franke,-christian-albrechts-universität-zu-kiel-","","https://www.ikmb.uni-kiel.de/people/scientists/andre-franke","","0","2023-10-06 20:22:09","2023-10-14 06:57:21",""
-"337","Jay Shendure, University of Washington","","jay-shendure,-university-of-washington-","","https://www.gs.washington.edu/faculty/shendure.htm","","1","2023-10-06 20:24:30","2023-10-06 20:25:05",""
-"338","Adam M. Deutschbauer, Morgan N. Price, Kelly Wetmore, Wenjun Shao, Jason Baumohl, and Adam P. Arkin from UC Berkeley, and Michelle Nyguyen, Raquel Tamse, Ronald W. Davis from Stanford University. (data providers)","","adam-m-deutschbauer,-morgan-n-price,-kelly-wetmore,-wenjun-shao,-jason-baumohl,-and-adam-p-arkin-from-uc-berkeley,-and-michelle-nyguyen,-raquel-tamse,-ronald-w-davis-from-stanford-university-(data-providers)","","","","0","2023-10-06 20:22:09","2023-10-14 06:57:28",""
-"339","University of California, Irvine","","university-of-california,-irvine","","","","1","2023-10-06 20:26:57","2023-10-14 06:29:04",""
-"340","Cardiovascular Research Institute, University of California San Francisco","","cardiovascular-research-institute,-university-of-california-san-francisco","","https://cvri.ucsf.edu/","","0","2023-10-06 20:30:17","2023-10-14 06:28:18",""
-"341","HARVARD PGP STAFF MEMBERS","","harvard-pgp-staff-members","","https://pgp.med.harvard.edu/team","","3","2023-10-06 20:31:44","2023-10-14 05:11:05",""
-"342","University of Iowa","","university-of-iowa-","","https://uiowa.edu/","","0","2023-10-06 20:32:19","2023-10-06 20:32:19",""
-"343","Johns Hopkins University","","johns-hopkins","","https://www.jhu.edu/","","2","2023-10-06 20:32:36","2023-10-14 06:07:18","JHU"
-"344","Cold Spring Harbor Laboratory","","cold-spring-harbor-laboratory-","","https://www.cshl.edu/","","0","2023-10-06 20:32:39","2023-10-14 06:07:18",""
+"332","Rine Lab, Berkeley","","rine-lab,-berkeley","","http://mcb.berkeley.edu/labs/rine/","Jasper Rine is a Howard Hughes Medical Institute Professor and Professor of the Graduate School Division of Genetics, Genomics, Evolution, and Development.  The research in his lab is focused on the yeast Saccharomyces cerevisiae in which they use genetic analysis to explore issues of gene regulation and cell biology. In addition, they are developing genomic-based approaches to the study of cells by parallel analysis of the expression of all genes simultaneously. Their goal is to create a new kind of genetic analysis in which the genome is used as the unit of function, rather than individual genes or proteins. The gene regulation work focuses on the coupling between certain origins of DNA replication and the establishment of domains with different transcriptional states. The cell biology work focuses on the regulation of the cholesterol biosynthetic pathway and the roles intermediates of this pathway play in the covalent modification of numerous proteins including the Ras oncoprot...","0","2023-10-06 20:14:33","2023-10-27 19:36:27",""
+"333","University of Utah","","u-of-u","","https://www.utah.edu/","Imagine what you want to accomplish, then really making it happen. Imagine designing and publishing a video game before earning your diploma, starting a business while studying business, and doing all this in a setting that begs you to get out and do something. Imagine, then Do. Opportunity awaits and all things are possible at a place we call Imagine U. The University of Utah.","3","2023-10-06 20:17:06","2023-10-27 19:40:01",""
+"335","Lawrence Berkeley National Laboratory","","berkeley-lab","","https://www.lbl.gov/","The Lab’s close relationship with the UC system, including its 10 campuses, brings the ingenuity of the nation’s leading public university to bear on the Lab’s critical research mission. It offers UC faculty, postdocs, and students access to world-class experimental facilities and opportunities to collaborate with leading researchers on large, complex, multidisciplinary problems.","0","2023-10-06 20:22:09","2023-10-27 20:06:14",""
+"336","Institute of Clinical Molecular Biology, Kiel University","","ikmb","","https://www.ikmb.uni-kiel.de/","Empowering physicians to direct therapies is a key commitment of the Institute. We believe that research in biomedicine should lead to new perspectives on disease processes and measurable advances for patients. Translation of the knowledge on genetic causations and markers to clinical decision-making algorithms is at the starting point for clinical use. We are pursuing questions on how genes, individual life history and environmental factors interact to cause disease.  We believe that only a combination of creativity, curiosity, collaborative spirit and expertise can foster an internationally visible research institution. Therefore, we aim to recruit and train excellent young scientists from different disciplines. We have developed an excellent infrastructure that allows them to choose their tools from a broad range of established cutting-edge technologies. Focusing on inflammatory diseases our approaches range from large-scale genome-wide association studies and whole genome sequ...","0","2023-10-06 20:22:09","2023-10-27 19:57:00","IKMB"
+"339","University of California, Irvine","","uci","","https://uci.edu/","In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter.","1","2023-10-06 20:26:57","2023-10-27 19:54:08","UCI"
+"341","Harvard Personal Genome Project","","harvard-pgp","","https://pgp.med.harvard.edu/","Starting in 2005 as a pilot experiment with 10 individuals, the Harvard Personal Genome Project (Harvard PGP) pioneered a new form of genomics research. The main goal of the project is to allow scientists to connect human genetic information (human DNA sequence, gene expression, associated microbial sequence data, etc) with human trait information (medical information, biospecimens and physical traits) and environmental exposures.  Project participants consent to provide biological samples from themselves in order to perform whole genome sequencing, and use of these materials for biological research. The project now has over 5,000 participants.","3","2023-10-06 20:31:44","2023-10-27 19:51:07",""
+"342","University of Iowa","","university-of-iowa-","","https://uiowa.edu/","Founded in 1847, it is the state's oldest institution of higher education and is located alongside the picturesque Iowa River in Iowa City.  A member of the Association of American Universities since 1909 and the Big Ten Conference since 1899, the University of Iowa is home to one of the most acclaimed academic medical centers in the country, as well as globally recognized leadership in the study and craft of writing. Iowa is known for excellence in both the arts and sciences, offering world-class undergraduate, graduate, and professional academic programs in a wide variety of fields.","0","2023-10-06 20:32:19","2023-10-27 20:06:53",""
+"343","Johns Hopkins University","","johns-hopkins","","https://www.jhu.edu/","“What are we aiming at?”  That’s the question our university’s first president, Daniel Coit Gilman, asked at his inauguration in 1876. What is this place all about, exactly? His answer:  “The encouragement of research . . . and the advancement of individual scholars, who by their excellence will advance the sciences they pursue, and the society where they dwell.”  Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place.  In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty...","2","2023-10-06 20:32:36","2023-10-27 20:07:54","JHU"
+"344","Cold Spring Harbor Laboratory","","cold-spring-harbor-laboratory-","","https://www.cshl.edu/","Founded in 1890, Cold Spring Harbor Laboratory has shaped contemporary biomedical research and education with programs in cancer, neuroscience, plant biology and quantitative biology. Home to eight Nobel Prize winners, the private, not-for-profit Laboratory employs 1,000 people including 600 scientists, students and technicians. The Meetings & Courses Program hosts more than 12,000 scientists from around the world each year on its campuses in Long Island and in Suzhou, China. The Laboratory’s education arm also includes an academic publishing house, a graduate school and programs for middle, high school, and undergraduate students and teachers.","0","2023-10-06 20:32:39","2023-10-27 20:08:14",""
 "345","BioMarin Pharmaceutical, Inc.","","biomarin-pharmaceutical,-inc","","https://www.biomarin.com/","BioMarin Pharmaceutical, Inc. 105 Digital Drive, Novato CA 94949 (data providers)","2","2023-10-06 20:33:46","2023-10-14 06:29:45",""
-"346","University of Kansas Medical Center","","university-of-kansas-medical-center-","","https://www.kumc.edu/","","1","2023-10-06 20:34:22","2023-10-06 20:34:30",""
-"347","Centre for Genetic Medicine of the Hospital for Sick Children, Toronto","","centre-for-genetic-medicine-of-the-hospital-for-sick-children,-toronto","","https://www.sickkids.ca/en/care-services/clinical-departments/clinical-metabolic-genetics/#-~-text=The%20Centre%20for%20Genetic%20Medicine,Canadian%20College%20of%20Medical%20Geneticists.","","2","2023-10-06 20:34:40","2023-10-06 20:34:53",""
-"348","University of Verona, Italy","","university-of-verona,-italy","","https://www.univr.it/en/international","","0","2023-10-06 20:35:30","2023-10-14 06:30:18",""
-"349","Rare Genomes Project","","rare-genomes-project","","https://raregenomes.org/how-it-works","","1","2023-10-06 20:36:09","2023-10-14 06:30:31",""
-"350","University of Vermont Department of Pathology","","university-of-vermont-department-of-pathology","","https://www.med.uvm.edu/pathology/home","","1","2023-10-06 20:36:57","2023-10-06 20:37:05",""
-"351","Invitae","","invitae","","https://www.invitae.com/en?gad=1&gclid=CjwKCAjw4P6oBhBsEiwAKYVkq6rR_TeHQ4BDrXBBmTUELJgcJvCoj6dlNobNg2hbY4wzcRdk5P6-IxoCCj4QAvD_BwE","","1","2023-10-06 20:38:01","2023-10-14 06:30:37",""
-"352","Baylor College of Medicine","","baylor-college-of-medicine","","https://www.bcm.edu/","","0","2023-10-06 20:25:10","2023-10-14 05:09:01",""
-"353","Seattle Children's Hospital","","seattle-childrens-hospital","","https://www.seattlechildrens.org/","","1","2023-10-06 20:39:31","2023-10-06 20:41:02",""
-"354","Albrechts-Universität zu Kiel","","albrechts-universität-zu-kiel-","","https://www.uni-kiel.de/en/","","3","2023-10-06 20:40:42","2023-10-14 05:10:24",""
-"355","CACHE","","cache","logo/cache.png","https://cache-challenge.org/","","4","2023-10-06 21:25:30","2023-10-16 20:56:36",""
-"356","NIDDK","","niddk","","https://www.niddk.nih.gov/","","1","2023-10-18 17:07:25","2023-10-18 17:09:40",""
+"346","University of Kansas Medical Center","","kumc","","https://www.kumc.edu/","The University of Kansas Medical Center's mission is to improve lives and communities in Kansas and beyond through innovation in education, research and health care.","1","2023-10-06 20:34:22","2023-10-27 20:10:10","KUMC"
+"349","Rare Genomes Project","","rare-genomes-project","","https://raregenomes.org/how-it-works","The Rare Genomes Project at the Broad Institute of MIT and Harvard is a team of researchers, physicians, software developers, genetic counselors, and study coordinators who believe that the latest advances in genomic sequencing are changing medicine and should be more broadly available to families with rare and undiagnosed conditions.","1","2023-10-06 20:36:09","2023-10-27 20:12:23",""
+"351","Invitae","","invitae","","https://www.invitae.com/en?gad=1&gclid=CjwKCAjw4P6oBhBsEiwAKYVkq6rR_TeHQ4BDrXBBmTUELJgcJvCoj6dlNobNg2hbY4wzcRdk5P6-IxoCCj4QAvD_BwE","At Invitae, we believe that good health is possible—and that genetic information has the ability to transform the way medicine is practiced, making what once seemed impossible possible, as we empower people to make decisions about their health through the power of genetics.","1","2023-10-06 20:38:01","2023-10-27 20:13:11",""
+"352","Baylor College of Medicine","","bcm","","https://www.bcm.edu/","Baylor College of Medicine is a health sciences university that creates knowledge and applies science and discoveries to further education, healthcare and community service locally and globally.","0","2023-10-06 20:25:10","2023-10-27 20:15:15","BCM"
+"353","Seattle Children's Hospital","","seattle-childrens","","https://www.seattlechildrens.org/","This isn’t about beating the odds. This is about changing them.  We fight relentlessly to make sure there’s no such thing as “out of options” and to make sure kids who “didn't have a chance” can have the childhoods they deserve. At Seattle Children’s, we’re united by a compelling mission: We provide hope, care and cures to help every child live the healthiest and most fulfilling life possible.  Consistently ranked one of the nation’s best children’s hospitals.Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research and serve as the pediatric and adolescent academic medical center for Washington, Alaska, Montana and Idaho – the largest region of any children’s hospital in the country.  U.S. News & World Report has recognized Seattle Children’s as a top children’s hospital every year since it began ranking medical facilities more than 30 years ago. This means your child will be cared for by the very best.","1","2023-10-06 20:39:31","2023-10-27 20:16:14",""
+"354","Christian-Albrechts-Universität zu Kiel","","cau","","https://www.uni-kiel.de/en/","Kiel University (CAU) was founded back in 1665. It is Schleswig-Holstein's oldest, largest and best-known university, with 27,000 students and around 3,700 members of staff. It is also the only fully-fledged university in the state. Seven Nobel prize winners have worked here. The CAU has been successfully taking part in the Excellence Initiative since 2006.","3","2023-10-06 20:40:42","2023-10-27 20:22:23","CAU"
+"355","CACHE","","cache","logo/cache.png","https://cache-challenge.org/","CACHE will help define the state-of-the-art in molecular design by providing unbiased, high quality experimental feedback on computational hit-finding predictions.  To this end, CACHE will initiate a new hit-finding benchmarking exercise every four months. These public competitions (challenges) will have the added benefit of identifying new chemical starting points for biologically interesting targets. Each competition will focus on a new protein target representing one of five possible challenges in hit-finding, based on the type of target data available.  Participants will use their computational method to predict hits that will be tested experimentally by CACHE. Each challenge will involve two cycles of predictions in order to give participants the opportunity to incorporate learnings from the first round into their designs. At the end of each challenge, CACHE will release all data, including chemical structures, to the public.","4","2023-10-06 21:25:30","2023-10-27 20:26:00",""
+"356","National Institute of Diabetes and Digestive and Kidney Diseases","healthinfo@niddk.nih.gov","niddk","logo/nih.png","https://www.niddk.nih.gov/","NIDDK research creates knowledge about and treatments for diseases that are among the most chronic, costly, and consequential for patients, their families, and the Nation.","1","2023-10-18 17:07:25","2023-10-27 20:25:54","NIDDK"