Here are papers and presentations related to this project:
Patrick T. Brandt, Vito D’Orazio, Latifur Khan, Yi-Fan Li, Javier Osorio & Marcus Sianan (2022). Conflict Forecasting with Event Data and Spatio-Temporal Graph Convolutional Networks, International Interactions, doi:10.1080/03050629.2022.2036987
Vito D’Orazio & Yu Lin (2022) Forecasting conflict in Africa with automated machine learning systems, International Interactions, doi:10.1080/03050629.2022.2017290
Brandt, Patrick, Khan, Latifur, D'Orazio, Vito, & Osorio, Javier. (2022). Sustaining Modern Infrastructure For Political And Social Event Data (cssi_upload_1). Zenodo. doi:10.5281/zenodo.6870773
Parolin, Erick, Mohammad Saleh Hosseini, Yibo Hu, Latifur Khan, Patrick Brandt, Javier Osorio, and Vito D’Orazio, 2022. “Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain”, In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES 22), August 1-3, 2022, Oxford, United Kingdom. ACM, New York, NY, USA. doi:10.1145/3514094.3534178
Hu, Yibo, Mohammad Saleh Hosseini, Erick Skorupa Parolin, Javier Osorio, Latifur Khan, Patrick T. Brandt, Vito J. DOrazio. 2022. “ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence”. NAACL: 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Seattle, Washington. July 10-15, 2022.
Parolin, Erick, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D’Orazio. 2021. “CoMe-KE: A New Transformers Based Approach for Knowledge Extraction on Conflict and Mediation Domain”, IEEE International Conference on Big Data (IEEE BigData 2021), Orlando, FL, USA, December 2021 doi:10.1109/BigDataSecurity-HPSC-IDS49724.2020.00052
Osorio, Javier, Patrick T. Brandt, Vito D’Orazio, Latifur Khan. 2021. “Revamping Event Coding Using CONFLIBERT”. TADA 2021: 11th Annual Conference on New Directions in Analyzing Text as Data, October 28–29, 2021. University of Michigan, Ann Arbor. (Cancelled by COVID-19)
Parolin, Erick, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito DOrazio and Jennifer Holmes. 2021. “3M-Transformers for Event Coding on Organized Crime Domain”, The 8th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2021), Porto, PRT, October 2021.
Li, Yi-Fan, Bo Dong, Latifur Khan, Bhavani Thuraisingham, Patrick T. Brandt, Vito J. D'Orazio 2021. "Data-Driven Time Series Forecasting for Social Studies Using Spatio-Temporal Graph Neural Networks" September 2021, ACM (Association for Computing Machinery) doi:10.1145/3462203.3475929
Erick Skorupa Parolin, Latifur Khan, Vito D'Orazio, Javier Osorio, Patrick Brandt and Jennifer Holmes. 2020. "HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain", IEEE International Conference on Data Science and Advanced Analytics (DSAA), Sydney, October 6--9, 2020. doi:10.1109/DSAA49011.2020.00055
Salam, Sayeed, Lamisah Khan, Amir El-Ghamry, Patrick Brandt, Jennifer Holmes, Vito D'Orazio, Javier Osorio. 2020. "Automatic Event Coding Framework for Spanish Political News Articles". 2020 IEEE 6th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)}, May 25--27. Baltimore, MD, doi:10.1109/BigDataSecurity-HPSC-IDS49724.2020.00052
Salam, Sayeed, Patrick Brandt, Vito D'Orazio, Jennifer Holmes, Javier Osorio, and Latifur Khan. 2020. “An Online Structured Political Event Dataset Based on CAMEO Ontology.” SocArXiv. March 20. doi:10.31235/osf.io/vrt4a
Osorio, Javier, Viveca Pavon, Sayeed Salam, Jennifer S. Holmes, Patrick T. Brandt, and Latifur Khan. 2019. “Translating CAMEO Verbs for Automated Coding of Event Data” International Interactions. doi:10.1080/03050629.2019.1632304
Skorupa Parolin, Erick, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Jennifer Holmes. 2019. “Automated Verbal-Pattern Extraction from Political News Articles using CAMEO Event Coding Ontology,” 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelli- gent Data and Security (IDS), Washington, DC, USA, 2019, pp. 258-266. doi:10.1109/BigDataSecurity- HPSC-IDS.2019.00056
Kim, HyoungAh, Vito D’Orazio, Patrick T. Brandt, Jared Looper, Sayeed Salam, Latifur Khan, and Michael Shoemate. 2019. “UTDEventData: An R package to access political event data.” Journal of Open Source Software. 4(36), 1322, doi:doi:10.21105/joss.01322
Gunasekaran, Aswin, Maryam Bahjob Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, and Jennifer S. Holmes. 2018. “SPERG: Scalable Political Event Report Geoparsing in Big Data” 2018 IEEE International Conference on Big Data (BigData 2018). December 10–13, 2018, Seattle, WA, USA. doi:10.1109/ISI.2018.8587373
Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. Forthcoming. “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11
Bagozzi, Benjamin, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Medizabal, and Carly Potz-Nielsen. 2018. “The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data” Political Science Research and Methods. doi:doi:10.1017/psrm.2018.11
Salam, Sayeed, Patrick T. Brandt, Jennifer S. Holmes, Latifur Khan, 2018. “Distributed Framework for Political Event Coding in Real-Time,” 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2018, pp. 266-273. doi:10.1109/EECS.2018.00057.
Maryam Bahojb Imani, Swarup Chandra, Samuel Ma, Latifur Khan, Bhavani Thuraisingham. 2017. "Focus Location Extraction from Political News Reports with Bias Correction”. IEEE International Conference on Big Data (BIGDATA) 10.1109/BigData.2017.8258141
Soliamani, Mohiuddin, Latifur Khan, Sayeed Salaam, Vito D’Orazio, Patrick T. Brandt. 2017. “Automatic Political Actor Recommendation In Real-time”. International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) 2017. https://doi.org/10.1007/978-3-319-60240-0_42
Brandt, Patrick T., Benjamin E. Bagozzi, Vito D’Orazio, Latifur Khan, and Yang Gao. 2017. “The Automated Discovery of Protest Stories From Text”, presented at the Democracy, the State and Protest Conference and Workshop at the Mershon Center for International Security Studies, The Ohio State University, Columbus, Ohio, May 11-12, 2017.
Solaimani, Mohiuddin, Salam Sayeed, Latifur Khan, Patrick T. Brandt and Vito D’Orazio, 2017. “Re-PAIR: Recommend political actors in real-time from news websites,” IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 1333-1340.
Solaimani, Mohiuddin, Sayeed Salam, Ahmad M. Mustafa, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. 2016. “Near Real-Time Atrocity Event Coding”, IEEE Intelligence and Security Informatics (ISI) 2016, Tucson, Arizona USA, September 28-30, 2016. doi:https://www.researchgate.net/publication/307135171
Solaimani, Mohiuddin, Rajeevardhan Gopalan, Latifur Khan, Patrick T. Brandt, and Bhavani Thuraisingham. 2016. “Spark-based Political Event Coding”, IEEE BigdataService, Oxford, UK. doi:10.1109/BigDataService.2016.30
Brandt, Patrick T. “Generating Political Event Data in Near Real Time: Modernizing Political Event Data Collection and Use.” Political Data Science Conference, Washington University, St. Louis, May 12-13, 2016.