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Michela Carlana
Michela Carlana is an assistant professor of public policy at the Harvard Kennedy School.
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J-PAL updates
June 2024 North America Newsletter
J-PAL North America's June newsletter features an ongoing research partnership to address wildfire risk and new research results on the impact of emergency rental assistance.
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Innovation, Data and Experiments in Education (IDEE)
The Innovation, Data and Experiments in Education (IDEE) programme helps education researchers produce actionable evidence in France by facilitating access to administrative data, providing research resources and measurement tools, and structuring partnerships with policy-makers and practitioners.
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Promoting Social Inclusion
J-PAL Europe supports the development of rigorous evaluations to generate widely applicable lessons on what works best in promoting social inclusion.
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Generating Evidence for Climate Action in Europe
K-CAI Europe aims to create a playbook of dozens of cost-effective policy solutions in two focus areas: mitigation and pollution reduction. The former aims to reduce emissions to slow the pace of climate change, while the latter aims to reduce harmful carbon co-pollutants and improve public health.
Blog
Evaluating the Camden Core Model: How a research partnership between the Camden Coalition and J-PAL North America was built
Researchers from J-PAL’s network partnered with the Camden Coalition of Health Care Providers (the Camden Coalition) on a rigorous evaluation of their Camden Core Model. The Camden Core Model has received national attention as a promising super-utilizer intervention over the past few years. We sat...
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Generating Rigorous Evidence on the Effectiveness of Humanitarian Programming
The Abdul Latif Jameel Poverty Action Lab (J-PAL) is developing a long-term research effort to generate actionable cross-cutting insights to improve the effectiveness of humanitarian operations.
Evaluation
Clinical Decision Support for Outpatient High-Cost Radiology Ordering in the United States
Researchers are studying the impact of a clinical decision support system on the ordering of high-cost scans.
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