Christoph Riedl is assistant professor for Information Systems at Northeastern University. He holds appointments at the D’Amore-McKim School of Business and the College of Computer & Information Science. He is a core faculty at the NULab for Texts, Maps, and Networks. He is also a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard University and a fellow of the NASA Tournament Lab. He is recipient of a Young Investigator Award (YIP) for his work on social networks in collaborative decision-making. Before joining Northeastern University he was a post-doctoral fellow at Harvard Business School and IQSS. He received a PhD in Information Systems from Technische Universität München (TUM), Germany in 2011, a MSc in Information Systems in 2007, and a BSc in Computer Science in 2006. His work has been published in leading business and computer science journals including Management Science, Communications of the AIS, and International Journal of Electronic Commerce, and conferences including the International Conference on Information Systems (ICIS).
His research interests are in data science and computational social science which he applies to substantive research questions on decision making by individual (peer-review), decision making by groups (collective intelligence), social media and social networks, and individual and team productivity. He applies and develops novel computational approaches and machine learning to analyze (experimental) field data in order to study the design of innovation contests and various crowd sourcing / collective intelligence mechanisms. For example, he investigates various aspects of team formation and team work in competitions for creative workers. In his research on collective intelligence, he consider ratings, rankings, expert reviews, and online consumer reviews to support decision making.
/// Our paper on peer-review has been accepted at Management Science /// I have been awarded a Young Investigator Award (YIP) ($150,000) for my research on social network processes in collaborative decision-making /// Our Tier-1 grant proposal on “Extracting and Visualizing Multi-Dimensional Text Networks” has been accepted (with co-PIs Dietmar Offenhuber, Nick Beauchamp, David Smith) /// My paper on Online Word of Mouth (with Frank Nagle) has been accepted as Best Paper to this year’s Academy of Management Annual Meeting (August) /// Our paper on emergent teams is out as a CMU working paper