INFORMS ISS Practical Impacts Award 2022

Honoring distinguished information systems academics who have demonstrated outstanding leadership and sustained impact on the industry. 

INFORMS ISS Design Science Award 2021

Alok Gupta, Yixin Lu, Eric van Heck and I won the 2021 INFORMS ISS Design Science Award for our research project “Designing Next Generation High-Speed Auction Markets (Next-ACT)”. The project has developed novel IT/IS artifacts that greatly improve the performance of complex Business-to-Business auction markets.

The purpose of the Design Science Award of the INFORMS Information Systems Society (ISS) is to promote and recognize research efforts centered on the design and realization of innovative information technology (IT) artifacts. 

INFORMS ISR Best Paper of the Year 2020

Jingjing Zhang, Gediminas Adomavicius, Alok Gupta, and I were awarded the prize for our paper “Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework.”

We provide a comprehensive analysis of the so-called ‘performance paradox’ of recommender systems. The paradox explains how users of a recommender system (who follow automatic, personalized recommendations meant to improve their choices) become more dependent on the system the more they use it, leading to the system becoming less useful. On the basis of our simulations, we show that a combination of personalized and popularity-based recommendations can provide the greatest possible consumer relevance for individual users, in which “quality rises to the top”. 

The agent-based simulation approach developed for our study also offers the possibility of investigating the effects of various factors on the temporal dynamics of the performance of recommendation systems, which is usually not possible with real systems.

INFORMS annually awards a prize for the best journal paper in Information Systems Research from the previous year. You can find the paper here.

Inaugural AIS Impact Award 2020

In our research on the use of artificial intelligence to optimalize the floricultural chain, my colleauges Alok Gupta, Yixin Lu, Huong May Truong, Eric van Heck and I researched and developed AI applications with value for growers, auctioneers, transporters, and supply chain managers at Royal FloraHolland, one of the largest auction companies in the world.

The criteria for selecting the AIS Impact Award is the breadth of use of their work in practice and its relevance to information systems research.  About the award

Runner up 2020 INFORMS Daniel H. Wagner Prize

Together with Ayman Abdelwahed, Pieter L. van den Berg and Tobias Brandt (all Erasmus University Rotterdam) and Judith Mulder (Rotterdamse Elektrische Tram), our work shows how the city of Rotterdam, as it replaces its entire diesel bus fleet with battery electric vehicles, can use advanced optimization technologies to both meet transportation needs as well as to take advantage of price signals from electricity markets in a smart charging strategy. This will save operation costs while, on the system side, enabling better sector coupling.

The Institute for Operations Research and the Management Sciences (INFORMS) awards the Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. This is considered one of the highest awards for application-oriented projects in operations research. About the award

AIS Special Interest Group for Green Information Systems Runner-up Award 2020

Ezgi Avci (Turkish Standards Institute, Ankara), Derek Bunn (London Business School), Eric van Heck (Erasmus University Rotterdam) and I developed a model that empirically tests the influence of agents’ attitudes on their price expectations. The paper for which we were recognized is one of the first to examine agents’ trading behavior and their price expectations from an information-based perspective.

INFORMS ISS Design Science Award 2012

John Collins, Maria Gini, Alok Gupta, Paul Schrater and I won the 2012 INFORMS Design Science Award for our research project “Design of Automated Agents Capable of Recognizing and Forecasting the Economic Environment”. This project forms the foundation for a considerable number of publications that followed and has made, and is continuing to have, high impact in academia and practice over the years.