This paper examines international and domestic collaborations using data from an original survey of corresponding authors and Web of Science data of articles that had at least one US coauthor in the fields of Particle and Field Physics, Nanoscience and Nanotechnology, and Biotechnology and...

How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server software updates by over...

This paper examines the impact of rising U.S.-China geopolitical tensions on three main dimensions of science: STEM trainee mobility between these countries, usage of scientific works between scientists in each country, and scientist productivity in each country. We examine each dimension from a...

We study migration in the right tail of the talent distribution using a novel dataset of Indian high school students taking the Joint Entrance Exam (JEE), a college entrance exam used for admission to the prestigious Indian Institutes of Technology (IIT). We find a high incidence of migration...

We estimate spillovers from public funding for health research in the context of the NIH's Fogarty International Center's AIDS International Training and Research Program, which aims to strengthen scientific capacity in AIDS endemic countries by providing African researchers with training...

We discuss the impacts of the Russian invasion on Ukrainian science. Using newly collected data, we show that the war has already had significant effects on science in Ukraine: research papers produced by Ukrainian scientists declined by about 10%, approximately 5% of the most prolific...

This study examines gender differences in the social impact and commercial motives for academic entrepreneurship using the National Science Foundation's Innovation Corps (NSF I-Corps) program. I-Corps provides experiential entrepreneurship training to faculty and graduate student researchers at...

As distorted maps may mislead, Natural Language Processing (NLP) models may misrepresent. How do we know which NLP model to trust? We provide comprehensive guidance for selecting and applying NLP representations of patent text. We develop novel validation tasks to evaluate several leading NLP...