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Why are reports of sexual assault delayed?

Thanks to COSMOS Magazine for their very nice coverage of our recent publication on rape reporting delays, and congratulations Konstantin on the interview!

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NSF/Amazon Fairness in AI award

Our project on “End-to-End Fairness for Algorithm-in-the-Loop Decision Making in the Public Sector” (NSF IIS-2040898, Neill, PI) was awarded $1M funding from the National Science Foundation Program on...

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Welcome Ed!

Welcome to Prof. Edward McFowland III, who is joining the ML4G Lab as affiliated faculty. Ed is currently Assistant Professor of Information and Decision Sciences at the University of Minnesota’s...

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How can AI combat the opioid crisis?

Daniel presented the invited talk, “Machine Learning for Opioid and Overdose Surveillance”, at the CMU Symposium on AI and Social Good. His talk slides are available here.

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Congratulations to John!

Congratulations to John Pamplin, who has joined Columbia University’s Mailman School of Public Health as an Assistant Professor of Epidemiology! We are delighted that John will be continuing his...

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3 AAAI paper accepts!

The ML4G Lab had three papers accepted to AAAI 2022: Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, and Daniel B. Neill. SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns...

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ethical and equitable opioid responses

Congratulations to Bennett on his recent opinion piece, “Public health and police: Building ethical and equitable opioid responses,” published in the Proceedings of the National Academy of Sciences.

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pre-syndromic surveillance paper

Our paper on pre-syndromic disease surveillance is now out (open-access) in Science Advances! Thanks to Kimberly Adams (Marketplace Tech), Ruth Reader (Politico), Shania Kennedy (HealthITAnalytics),...

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2 AAAI paper accepts!

The ML4G Lab had two papers accepted to AAAI 2023: Katie Rosman and Daniel B. Neill. Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data. Proc. 37th AAAI Conf....

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using health data to predict poor-quality housing

Our paper, Housing-Sensitive Health Conditions Can Predict Poor-Quality Housing, is now out (open access) in the February 2024 issue of Health Affairs. Thanks to Health Affairs for highlighting our...

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