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    "objectID": "index.html",
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    "title": "CURV - connecting, uplifting, and recognizing voices",
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    "text": "CURV is a project designed to connect statisticians and data scientists to undergraduate curricula. Amplifying voices which are often marginalized helps all of us to build a larger community of scholars inclusive of every voice.\nIn particular, one of the major goals of the database is to lower the barrier to presenting examples of all types of scholars to our students. You might use the database with a “Statistician of the Day” activity. Or you might have students bring into the classroom one idea connecting a scholar to the class content.\nThere are many good resources highlighting statisticians, data scientists, and mathematicians who are traditionally underrepresented. I’ve listed just a few here, I encourage you and your students to check them out!\n\nMathematicians of the African Diaspora is dedicated to promoting and highlighting the contributions of members of the African diaspora to mathematics, especially contributions to current mathematical research.\nJustice, Equity, Diversity, and Inclusion Outreach Group, a community of statisticians and data scientists, is committed to communication, programming, and professional development to advance and support a society that values all people.\nData for Black Lives movement of activists, organizers, and scientists committed to the mission of using data to create concrete and measurable change in the lives of Black people.\nWe All Count Extensive guidelines for data inclusivity.\nGayta Science Data stories / data viz / data analysis / data science on gender fluidity.\nInclusivity Resource Building Gender and Sexuality Allyship in the Mathematics Community.\nMathematically Gifted and Black celebrates mathematicians from the African diaspora across the mathematical sciences.\nLathisms A vibrant, inclusive, and diverse Mathematical community where the Latinx and Hispanic culture is valued, cultivated, and celebrated.\n\n\n\n\n\n\nContribute? Yes, please!\nCertainly, if you are here, then you have ideas which could be added to make this resource even better. Feel free to peruse the CURV GitHub repo. I welcome pull requests, or create an issue and I’ll incorporate your suggestions directly into the database. Thank you in advance!\n\n\nContributors\nThe project would not have been possible without the help from many others. Thank you to all who have contributed, including:\nEdray Goins, and Tianna Couch.\n\nCreated by Jo Hardin, Professor of Mathematics & Statistics at Pomona College."
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    "objectID": "about.html",
    "href": "about.html",
    "title": "About",
    "section": "",
    "text": "About this site\n\n1 + 1\n\n[1] 2"
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    "objectID": "scholars/hughes-oliver.html",
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    "title": "Jacqueline Hughes-Oliver",
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    "text": "Jacqueline Hughes-Oliver\nProfessor Hughes-Oliver received her PhD from North Carolina State University in 1991. She has been a Professor of Statistics at both George Mason University and North Carolina State University.\n\nTopics covered\nFrom her CV, she lists the following areas of research and application:\n\nPrediction and Classification, Data Mining, Variable Selection and Dimension Reduction, Design of Experiments, Group Testing, Spatial Modeling; Cheminformatics and Drug Discovery, Ontology-Guided Analysis, Point Source Modeling, Transportation Modeling\n\n\n\nExample work\n\nShen, H., Welch, W.J., Hughes-Oliver, J.M. 2011. “Efficient, Adaptive Cross-Validation for Tuning and Comparing Models, with Application to Drug Discovery”. Annals of Applied Statistics. 5(4), 2668-2687. https://projecteuclid.org/journals/annals-of-applied-statistics/volume-5/issue-4/Efficient-adaptive-cross-validation-for-tuning-and-comparing-models-with/10.1214/11-AOAS491.full\nNail, A., Hughes-Oliver, J. & Monahan, J. “Quantifying Local Creation and Regional Transport Using a Hierarchical Space–Time Model of Ozone as a Function of Observed NOx, a Latent Space–Time VOC Process, Emissions, and Meteorology”. Journal of Agricultural, Biological, and Environmental Statistics volume 16, pages17–44 (2011). https://link.springer.com/article/10.1007/s13253-010-0028-4\n\n\n\nOutside links\n\nwikipedia\nMAD\nlinkedin\npersonal\n\n\n\nOther\n\nBack to the full database\nGitHub repository"
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    "title": "W.E.B. Dubois",
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    "text": "W.E.B. Du Bois\nDu Bois was a sociologist and among the earliest data scientists. As Battle-Baptiste and Rusert say, his work can be thought of as\n\nthe rendering of information in a visual format to help communicate data while also generating new patterns and knoweldge throughout the act of visualization itselt.1\n\n\nTopics covered\nDu Bois was a sociologist who contributed to the field of data visualization through infographics related to the African American in the early twentieth century.\n\n\nExample work\n\nRusert, B., and Battle-Baptiste, W. “W. E. B. Du Bois’s Data Portraits: Visualizing Black America”, Princeton Architectural Press, 2018. https://papress.com/products/w-e-b-du-boiss-data-portraits-visualizing-black-america\n\n\n\nOutside links\n\nwikipedia\nTidyTuesday data viz and TidyTuesday challenge provided the data needed to re-create most of Du Bois’s original graphs (his originals were drawn by hand).\nData Journalism in the study of W.E.B. Du Bois\nW.E.B. Du Bois: retracing his attempt to challenge racism with data\nW.E.B. Du Bois’ Visionary Infographics Come Together for the First Time in Full Color\n\n\n\nOther\nIn 1900 Du Bois contributed approximately 60 data visualizations to an exhibit at the Exposition Universelle in Paris, an exhibit designed to illustrate the progress made by African Americans since the end of slavery (only 37 years prior, in 1863).\nAt their core, the data visualizations advocate for African American progress. They not only speak to the progress that had been made, but they centered many of the challenges that continued to exist at the time. The set of visualizations demonstrate how powerfully a picture can tell 1000 words, as the information Du Bois used was primarily available from public records (e.g., census and other government reports).\nWhitney Battle-Baptiste and Britt Rusert have reproduced and narrated the images from the exhibit in W.E.B. Du Bois’s Data Portraits: Visualizing Black America, the color line at the turn of the twentieth century.\n\nBack to the full database\nGitHub repository\n\n\n\n\n\n\nFootnotes\n\n\nBattle-Baptiste and Rusert, W.E.B. Du Bois’s Data Portraits: Visualizing Black America, the color line at the turn of the twentieth century, 2018, page 8.↩︎"
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    "title": "David Blackwell",
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    "text": "David Blackwell\n\nTopics covered\nBlackwell contributed to game theory, probability theory, information science, and Bayesian statistics. The Rao-Blackwell theorem (often seen in a senior level undergraduate class on statistical theory) is named after him.\n\n\nExample work\n\nBlackwell, D. (1947). “Conditional expectation and unbiased sequential estimation”. Annals of Mathematical Statistics. 18 (1): 105–110. doi:10.1214/aoms/1177730497.\n\n\n\nOutside links\n\nwikipedia\nMAD\n\n\n\nOther\nBlackwell was the first black person to receive a PhD in statistics in the US and the first black scholar to be admitted to the National Academy of Sciences. He was a statistician at UC Berkeley for more than 50 years. He was hired in 1954 after the department almost made him an offer in 1942 (but declined to do so when one faculty member’s wife said she didn’t want Blackwell hired because she wouldn’t feel comfortable having faculty events in her home with a black man). Hear Blackwell tell the story in his own words here.\n\nBack to the full database\nGitHub repository"
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    "text": "Name\n\nTopics covered\n\n\nSeminal work\n\n\nOutside links\n\nwikipedia\nMAD\nlinkedin\npersonal\n\n\n\nOther\n\nBack to the full database\nGitHub repository"
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