Christoph Riedl

Assistant Professor: Interdisciplinary with the D'Amore-McKim School of Business

Current Research Projects

  • Understanding Online Creative Collaboration Over Multidimensional Networks
  • Social Network Processes in Collaborative Decision-Making

Research Interests

  • Computational social science, business analytics, data science, data mining, “Big Data”
  • Individual and team productivity; crowd sourcing
  • Collaborative decision making and collective intelligence
  • Social influence and peer effects in collective problem solving and decision making over social networks


  • BS in Computer Science | Technische University at Munchen, Munich, Germany
  • MS in Information Systems |  Technische University at Munchen, Munich, Germany
  • PhD in Information Systems |  Technische University at Munchen, Munich, Germany

Google Scholar Page


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 funded by NSF and published in leading business and computer science journals including Management Science, Communications of the AIS, and International Journal of Electronic Commerce.

His research interests are in business analytics, data science, and computational social science which he applies to substantive research questions on group-decision making, network science, and social media.

He applies and develops novel computational approaches and machine learning to analyze (experimental) field data in order to study the design of contests, crowd sourcing, and collective intelligence mechanisms. For example, he investigates various aspects of team formation and team work in competitions for creative workers.

Christoph Riedl teaches courses on Business Analytics, Applied Machine Learning, and Information Systems at D’Amore-McKim School of Business and the College of Computer & Information Science at Northeastern University. He is also very actively involved in the Network Science PhD Program.

CCIS Faculty

The brightest and most innovative in the industry