A tweet. A product review on Amazon.com. A Facebook picture with a location stamp. All of these represent digital footprints left behind by online users, and collectively amount to large data sets—or so called “big data”—that researchers use to analyze human behavior and social trends.
New assistant professor Christoph Riedl will take an interdisciplinary approach to examining these data to shed light on solutions to societal challenges in business and innovation. In particular, he will apply his interests in data science and computational social science to study substantive research questions in areas such as decision-making by individuals and groups, online social networks, and teamwork and productivity.