Abdullah Almaatouq

Abdullah Almaatouq is the Douglas Drane Career Development Associate Professor in Information Technology and Management at the MIT Sloan School of Management. His research focuses on enhancing cooperation, coordination, and collective intelligence within decision-making systems such as teams, crowds, and markets. He holds a PhD in Computational Science and Engineering from MIT, alongside dual master's degrees in Media Arts and Sciences (MIT Media Lab) and Computational Science and Engineering. Prior to MIT, he earned his undergraduate degree from the University of Southampton, UK.

His research interests include computational social science, network science, and the design of effective collective decision systems. He is affiliated with the MIT Center for Computational Engineering, MIT Center for Collective Intelligence, and MIT Connection Science Research Initiative. His work emphasizes advancing social science methodologies through innovative experimental designs and theory-building.

Abdullah’s publications explore topics like group synergy, adaptive social networks, and human-AI collaboration. His recent work highlights the conditions under which combining human and AI capabilities yields optimal results, particularly in complex decision-making tasks. He also investigates how task complexity and group dynamics influence collective performance.

Notable contributions include studies on the wisdom of crowds, algorithmic mediation in social networks, and the moderating effects of task complexity on group outcomes. His research bridges computational methods with behavioral insights, aiming to design systems that amplify human capabilities in collaborative environments.