Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across campus to accelerate discovery.
The Schmidt DataX Fund will help advance the breadth and depth of data science impact on campus, accelerating discovery in three large, interdisciplinary research efforts and creating a suite of opportunities to educate, train, convene and support a broad data science community at the University. Funding will be used to enhance the extent to which data science permeates discovery across campus and infuses machine learning and artificial intelligence into a range of disciplines.
The recognized projects and research faculty associated with the Department of Psychology are:
Society-Scale Behavioral Simulations Through Crowdsourcing
Tom Griffiths, the Henry R. Luce Professor of Information Technology, Consciousness, and Culture of Psychology and Computer Science; Alin Coman, associate professor of psychology and public affairs; Simon Levin, the James S. McDonnell Distinguished University Professor in Ecology and Evolutionary Biology; Elizabeth Levy Paluck, professor of psychology and public affairs; Elke Weber, the Gerhard R. Andlinger Professor in Energy and the Environment and Professor of Psychology and Public Affairs. This project seeks to confront intertwined behavioral issues in online social networks that are impacting the global warming debate.
Decoding the Language of the Brain
Uri Hasson, professor of psychology and the Princeton Neuroscience Institute, and Karthik Narasimhan, assistant professor of computer science. This project aims to dive into the inner workings of the human brain and study how our thoughts become words, how we communicate with each other, and our use of language.