Publication
Research & Publications
Our faculty's ground-breaking research shapes how we understand, analyze, and address issues that affect our communities around the world.
Displaying 49 - 72 of 3016
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Introduction to Leveraging Large Administrative Data for Special Education Policy Analysis: Recent Contributions and Future Directions
Allison Gilmour and Leanna Stiefel
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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
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Financial Survival Strategies: Taking the Long View
Carla Jackie Sampson
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Promoting Forest-Friendly Exports in the Brazilian Amazon
Salo Coslovsky
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Who's Afraid of a Little More Housing Density?
Vicki Been and Ingrid Gould Ellen
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Book Review of Inclusive teaching: Strategies for promoting equity in the college classroom
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Accounting Choice
Thad Calabrese and Anubhav Gupta
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Fiscal Decentralization and Subnational Government Investment in Developing Countries: Is There a Path to More Borrowing and Commercial Debt?”
Paul Smoke
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Foreword: The Development Finance Landscape
Paul Smoke
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Ideas from the Frontline: Improvement Opportunities for Federally Qualified Health Centers
Jung, O.S., Begum, F., Dorbu, A., Singer, S., and Satterstrom, P.
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Over walls and voids: Responsive practices that enable frontline workers to feel heard.
Kerrissey, M., Satterstrom, P., Pae, J., and Albert, N.
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Speaking up is not enough: A multi-level model of how frontline voice can reach implementation.
Satterstrom, P., Vogus, T., Jung, O., DiBenigno, J., and Kerrissey, M.
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Subnational Government Responses to the Covid-19 Pandemic: Expectations, Realities and Lessons for the Future
Paul Smoke, Mehmet Tosun and Serdar Yilmaz
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Sustaining interdisciplinary innovation teams: Foundational and enabling practices that support frontline team members and cultivate their voice
Jung, O.S., Singer, S., Satterstrom, P.
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The Enabling and De-Risking Team Process: Expanding contributions in functionally diverse teams
Satterstrom, P. & Kerrissey, M
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Detecting anomalous networks of opioid prescribers and dispensers in prescription drug data
Katie Rosman and Daniel B. Neill
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Efficient optimization of partition scan statistics via the Consecutive Partitions Property
Charles A. Pehlivanian and Daniel B. Neill
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Identifying housing-sensitive health conditions using machine learning
O. Chakraborty, K. Dragan, I. Ellen, S. Glied, R. A. Howland, S. S. Wang, and D. B. Neill
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Provable detection of propagating sampling bias in prediction models
Pavan Ravishankar, Qingyu Mo, Edward McFowland III, and Daniel B. Neill
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The LongTerm Impact of the Plan for the 2012 Olympics
Mitchell Moss with Hugh O'Neill
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Positional encoder graph neural networks for geographic data
Konstantin Klemmer, Nathan S. Safir, and D. B. Neill