Dr. Ernesto Calvo is the Director of the Interdisciplinary Lab for Computational Social Science (iLCSS) and Professor of Government and Politics at the University of Maryland. His research centers on the study of comparative political institutions, social media, political representation, and social networks. His work lies at the intersection of big data, survey experiments, and institutions. He is the author of a number of books on comparative institutions and social media, including Non-Policy Politics: Rich Voters, Poor Voters, and the Diversification of Electoral Strategies (Cambridge University Press 2019) with María Victoria Murillo; Legislator Success in Fragmented Congresses in Argentina (Cambridge University Press 2014); and Fake News, Burbujas, Trolls y Otros Encantos: Cómo funcionan (para bien y para mal) las redes sociales (Siglo XXI Editores 2020) with Natalia Aruguete. Professor Calvo has authored over 70 publications in the United States, Latin America and the Caribbean, and Europe. His research has been recognized by the American Political Science Association with the Lawrence Longley Award, the Luebbert Best Article Award, and the Michael Wallerstein Award.