Data Science and Data Management

Estimating reporting bias in 311 complaint data

Kate S. Boxer, Boyeoung Hong, Constantine E. Kontokosta, and Daniel B. Neill

Identifying predictors of opioid overdose death at a neighborhood level with machine learning

R. C. Schell, B. Allen, W. C. Goedel, B. D. Hallowell, R. Scagos, Y. Li, M. S. Krieger, D. B. Neill, B. D. L. Marshall, M. Cerda, and J. Ahern

Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data

Katie Rosman and Daniel B. Neill

SPATE-GAN: Improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss

K. Klemmer, T. Xu, B. Acciaio, and D. B. Neill

Positional encoder graph neural networks for geographic data

Konstantin Klemmer, Nathan S. Safir, and D. B. Neill

Presyndromic surveillance for improved detection of emerging public health threats

Mallory Nobles, Ramona Lall, Robert W. Mathes, and Daniel B. Neill

Translating predictive analytics for public health practice: a case study of overdose prevention in Rhode Island

B. Allen, D. B. Neill, R. C. Schell, J. Ahern, B. Hallowell, M. Krieger, V. A. Jent, W. C. Goedel, A. R. Cartus, J. L. Yedinak, C. Pratty, B. D. L. Marshall, and M. Cerda

Efficient optimization of partition scan statistics via the Consecutive Partitions Property

Charles A. Pehlivanian and Daniel B. Neill

Exploiting discovered regression discontinuities to debias conditioned-on-observable estimators

Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill

Reimagining Labor Market Information: A National Collaborative For Local Workforce Information

Julia Lane

Data Inventories for the Modern Age? Using Data Science to Open Government Data

Julia Lane, Ernesto Gimeno, Ekaterina Levitskaya, Zheyuan Zhang, and Alberto Zigoni

A Value-Driven Approach to Building Data Infrastructures: The Example of the MidWest Collaborative

Jessica Cunningham, Anna Hui, Julia Lane, and George Putnam