Nada Hashmi

Assistant Professor

Academic Division: TOIM
Babson
781-239-8801

Bio

Nada Hashmi is an Assistant Professor of Information Systems in the Technology Operations and Management Information Department. Her research focuses on group dynamics and group size; specifically how to measure and predict group performance using metrics such as the Collective Intelligence Scores. In addition, she studies women leadership and whether technology plays a role in gender equality. She has over 10 notable publications and a patent. She is also a social entrepreneur with three startups focusing on women and healthcare and is on the board of two technology startups. She received her PhD from the Sloan School of Management at Massachusetts Institute of Technology (MIT) in the Technology, Innovation, Entrepreneurship and Strategy as well as the Organizational Studies Group. Her Master degrees are in System Design and Management Department from MIT and Computer Science from the University of Maryland, College Park.

Academic Degrees

  • Ph D, Massachusetts Institute of Technology

Academic Interests

Technology Innovation Adaption Group Dynamics

Publications

Journal Articles

  • Woolley, A.W., Chabris, C.F., Pentland, A., Hashmi, N., Malone, T.W. (2010). Evidence for a Collective Intelligence Factor in the Performance of Human Groups. SCIENCE, 330(6004), 686-688.
  • Gaynor, M., Myung, D., Hashmi, N., Shankaranarayanan, G., Moulton, S. (2007). An intelligent pre-hospital patient care system. International Journal of Electronic Healthcare, 3(1), 107. link
  • Lee, S., Wang, T.D., Hashmi, N., Cummings, M.P. (2007). Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences. Future Generation Computer Systems, 23(3), 497-509. link

Book Chapters

  • Woolley, A.W., Hashmi, N. (2013). Cultivating Collective Intelligence in Online Groups.Handbook of Human Computation.: Springer New York link
  • Hashmi, N., Al-Malaise, A., Shahid, S., Afzal, M.Z. (2006). Managing Workflows in Data Environments Using Semantic Technologies.Lecture Notes in Computer Science.: Springer Berlin Heidelberg link
  • Hashmi, N., Al-Malaise, A., Shahid, S., Afzal, M.Z. (2006). Managing Workflows in Data Environments Using Semantic Technologies.Lecture Notes in Computer Science.: Springer Berlin Heidelberg link