The Center for Decision Technologies is the largest of the Howe School’s research centers. Faculty in this area investigate projects related to the improvement of decision making, in areas such as the development of system designs, the effective use of social networks and ways to tap the expertise of crowds to solve problems.

Jeffrey Nickerson

Dr. Nickerson focuses his research in three areas: crowd creativity and collective intelligence, the design of information systems, and collaborative data stores and text analysis. Among his contributions to these fields are the development of an evolutionary system that evolves ideas through crowd contributions — which may predict the ways we work in the future — and the identification of ways designers generate ideas and improve on them. He has received a number of grants from the National Science Foundation; most recently, he was the principal investigator on two grants, together worth $1.5 million, related to crowdsourcing.

Michael zur Muehlen

Dr. zur Muehlen researches process improvement as it affects management and IT functions at companies. His work on how organizations evolve in their ability to govern and improve their decision-making processes has been done through input from Fortune 500 companies and has been published in top journals.

Tal Ben-Zvi

Dr. Ben-Zvi examines the intersection of information systems and operations research in order to improve the effectiveness of decision making, including how various concepts impact organizational performance. He has worked with Jeffrey Nickerson to create decision-analysis detection mechanisms that improve upon traditional security systems. This research was partially supported by the Office of Naval Research.

Panagiotis Repoussis

Dr. Repoussis’ interests apply in analytics and optimization for service operations management, transportation and supply chain management. His research involves such far-flung industries as healthcare, manufacturing, energy and disaster preparedness. Most recently, he was the principal investigator for an NSF grant worth $80,000 for an optimization project related to vehicle routing problems under conditions of uncertainty.

Yasuaki Sakamoto

Dr. Sakamoto investigates social computing, and how to develop social-technological systems that augment human decision making. He has received several grants from NSF for investigating technology to limit the spread of false information on social media after a disaster, and how to enhance crowds’ abilities to solve social problems.