Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

CSS Training Program

Speaker(s)

Chris Kennedy

BIDS Alumni - BIDS-BBDT Data Science Fellow

Chris Kennedy is now a postdoctoral fellow in biomedical informatics at Harvard Medical School, focusing on deep learning and causal inference in Gabriel Brat’s surgical informatics lab. He has a PhD in biostatistics from UC Berkeley. He is a senior fellow at UC Berkeley’s D-Lab and is affiliated with the Integrative Cancer Research Group and the Division of Research at Kaiser Permanente Northern California. At BIDS, he was a BIDS - Biomedical Big Data Training (BBDT) Data Science Fellow and a PhD student in biostatistics at UC Berkeley, where he worked with Alan Hubbard. He was also a D-Lab instructor and consultant, and an NIH biomedical big data trainee. His methodological interests encompassed targeted machine learning, randomized trials, causal inference, deep learning, text analysis, signal processing, and computer vision. His applications were primarily in precision medicine, public health, genomics, and election campaigns. His software projects included the SuperLearner ensemble learning system and varImpact for variable importance estimation; he leverages high performance computing on Savio and XSEDE clusters to accelerate his work. Prior to Berkeley he worked in political analytics in DC, running dozens of randomized trials and integrating machine learning into multi-million dollar programs to improve voter turnout for underrepresented Americans. He has also worked to support climate change action through Al Gore’s Climate Reality Project and the Yale Program on Climate Change Communication. He holds an M.A. in political science from UC Berkeley, an M.P.Aff. from the LBJ School of Public Affairs, and a B.A. in government & economics from The University of Texas at Austin.

Geoff Bacon

PhD Student, Linguistics, UC Berkeley

Geoff Bacon is a PhD student in the Linguistics department at UC Berkeley. His research is in computational semantics, building and evaluating statistical models of the acquisition of meaning. He teaches Python at the D-Lab.

Alexander Sahn

PhD Candidate, Political Science, UC Berkeley

Alexander Sahn is a PhD candidate in Political Science at UC Berkeley. His research seeks to understand and reduce inequalities in the American political economy. His work has been published in the American Political Science Review, Political Behavior, and Political Analysis. ​

Claudia von Vacano

Executive Director and Academic Coordinator, D-Lab/Digital Humanities, UC Berkeley

Dr. Claudia von Vacano is the Executive Director of the D-Lab and the Digital Humanities at Berkeley, and is on the boards of the Social Science Matrix and Berkeley Center for New Media. She has worked in policy and educational administration since 2000, and at the UC Office of the President and UC Berkeley since 2008.