370 Huntington Avenue
214 Hayden Hall
Boston, MA 02115
ATTN: Christoph Riedl, 214 HA
360 Huntington Avenue
Boston, MA 02115
- Individual and team productivity; crowd sourcing
- Collaborative decision making and collective intelligence
- Computational social science, business analytics, data science, data mining, “Big Data”
- Social influence and peer effects in collective problem solving and decision making over social networks
- PhD in Information Systems, Technische University at Munchen, Germany
- MS in Information Systems, Technische University at Munchen, Germany
- BS in Computer Science, Technische University at Munchen, Germany
Christoph Riedl is an Assistant Professor for information systems at the D’Amore-McKim School of Business at Northeastern University. He also holds an appointment at the College of Computer & Information Science and is a core faculty member at the Network Science Institute. He is a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard University. He is a recipient of a Young Investigator Award 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 earned his PhD in Information Systems from Technische Universität München, Germany in 2011, a MSc in Information Systems in 2007, and a BS in Computer Science in 2006. His work has been funded by NSF and published in leading journals including Management Science, Information Systems Research, and Academy of Management Discoveries.
Professor Riedl teaches courses on business analytics, applied machine learning, and information systems at D’Amore-McKim School of Business and CCIS. He is also actively involved in the Network Science PhD program.