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40 Results
Police car with lights flashing
Crime and COVID-19 in Mexico: Some Counterintuitive Results
Social distancing and stay-at-home measures provided scientists with a natural experiment to study social phenomena that hinge precisely on human mobility and contact — including criminal activity. A study by Center for the U.S. and Mexico experts and co-authors explores the relationship between COVID-19 and criminal activity in Mexico.
Sean Fiorella, Tony Payan, Daniel Potter, Rodrigo Montes de Oca July 23, 2023
gun display
Examining a Dataset on Gun Shows in the U.S., 2011–2019
Gun shows are public gatherings where licensed gun dealers and private gun owners use formal and informal venues to exchange information or sell and buy firearms, accessories, and ammunition. A major challenge is that gun shows, unlike established business locations, can be considered gray zones where regulatory loopholes facilitate the movement of legal firearms to illegal domains both domestically and internationally.
Tony Payan September 28, 2022
Oil Refinery in Thailand
Gain foreign investment, gain U.S. security ties?
Reversing a more typical pattern of using existing security ties to attract investors, Guyana and Qatar have demonstrated how two small states can use foreign direct investment by oil and gas firms to bolster security ties with the U.S., writes energy fellow Jim Krane in a new article for Resources Policy.
Jim Krane December 3, 2021
Windmills in the sunset
More Transitions, Less Risk: How Renewable Energy Reduces Risks from Mining, Trade and Political Dependence
An emerging perspective in U.S. public discourse claims that a buildout of renewable electricity would exacerbate supply risks, mining intensity, and import dependence. This ScienceDirect article from fellow Jim Krane and graduate student Robert Idel contends the opposite is true, demonstrating how transitioning to renewables hugely reduces the materials, mining and political risk involved compared to coal.
Jim Krane September 9, 2021
A stethoscope on American paper currency.
Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment
The authors sought to develop and test a tool that accurately predicts the unique financial burden to individual patients undergoing treatment for breast cancer. JCO Clinical Cancer Informatics, an American Society of Clinical Oncology Journal
Anaeze C. Offodile II, Chris Sidey-Gibbons, André Pfob, Malke Assad, Stefanos Boukovalas, Yu-Li Lin, Jesse Creed Selber, Charles Butler March 26, 2021