Publication Robust Generalized Method of Moments: A Finite Sample Viewpoint Dhruv Rohatgi, Vasilis Syrgkanis 2021 Neural Information Processing Systems | October 2021
Publication Time and Money: How Public Sector Agencies Resist Organizational Failure danah boyd, Janet Vertesi Society for Social Studies of Science (4S) | October 2021
Publication Collaboration between Government and Research Community to Respond to COVID-19: Israel’s Case Mor Peleg, Amnon Reichmann, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelmann, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, Roy Cohen Journal of Open Innovation | September 2021 Project Project
Publication From Human Explanation to Model Interpretability: A Framework Based on Weight of Evidence David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna Wallach, Jennifer Wortman Vaughan HCOMP 2021 | September 2021 Project
Publication Learned Benchmarks for Subseasonal Forecasting Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey September 2021 Preprint Github Project
Publication Expanding A Large Inclusive Study Of Human Listening Rates Danielle Bragg, Katharina Reinecke, Richard E. Ladner ACM Transactions on Accessible Computing | September 2021, Vol 14(3) Project
Publication Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee 2021 Knowledge Discovery and Data Mining | September 2021 Project
Publication Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data Yulin Hswen, Elad Yom-Tov International Journal of Environmental Research and Public Health | August 2021 Project
Publication Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning Kristen Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh, Jianying Hu July 2021
Publication A Topological Data Analytic Approach for Discovering Biophysical Signatures in Protein Dynamics W. S. Tang, G. M. da Silva, H. Kirveslahti, E. Skeens, B. Feng, T. Sudijono, Kevin Kaichuang Yang, S. Mukherjee, B. Rubenstein, Lorin Crawford bioRxiv | July 2021
