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Abdullah Almaatouq
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Abdullah Almaatouq is the Douglas Drane Career Professor in Information Technology and an Assistant Professor of Information Technology at the MIT Sloan School of Management.
His research focuses on the mechanisms of decision-making in networked environments where decisions are influenced by interactions with others. Currently, he develops dynamical models of inference, judgment, learning, and decision-making that can adapt to interconnected social and non-stationary information environments, and tests such models using a wide array of methods ranging from behavioral experiments and observational studies to computer simulations and mathematical analyses.
He holds dual MS and a PhD from MIT and a BSc from the University of Southampton.
Publications
Featured Publication
"Adaptive Social Networks Promote the Wisdom of Crowds."Almaatouq, Abdullah, Alejandro Noriega-Campero, Abdulrahman Alotaibi, P.M. Krafft, Mehdi Moussaid, and Alex Pentland. Proceedings of the National Academy of Sciences Vol. 117, No. 21 (2020): 11379-86.
Featured Publication
"Measuring the Predictability of Life Outcomes with a Scientific Mass Collaboration."Salganik, Matthew J., Ian Lundberg, Alexander T. Kindel, Caitlin E. Ahearn, Khaled Al-Ghoneim, Abdullah Almaatouq, et al. Proceedings of the National Academy of Sciences Vol. 117, No. 15 (2020): 8398-8403.
"Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion."
Becker, Joshua, Abdullah Almaatouq, and Agnes Horvat, MIT Sloan Working Paper 6181-20. Cambridge, MA: MIT Sloan School of Management, September 2020.
"When Social Influence Promotes the Wisdom of Crowds."
Almaatouq, Abdullah, M. Amin Rahimian, and Abdulla Alhajri, MIT Sloan Working Paper 6182-20. Cambridge, MA: MIT Sloan School of Management, July 2020.
"Empirica: A Virtual Lab for High-Throughput Macro-Level Experiments."
Almaatouq, Abdullah, Joshua Becker, James P. Houghton, Nicolas Paton, Duncan J. Watts, and Mark E. Whiting, MIT Sloan Working Paper 6183-20. Cambridge, MA: MIT Sloan School of Management, June 2020.
"Dynamic Networks Improve Remote Decision-Making."
Almaatouq, Abdullah and Alex Pentland. Sloan Management Review, June 2, 2020.
Recent Insights
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New research: Adaptive networks promote better collective intelligence
Changing the individuals in charge based on the nature of the issue leads to better collective intelligence and smarter decisions.
May 12, 2020
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