

Operations Analytics
The Operations Analytics program conducts research on challenging topics in descriptive, prescriptive, and predictive analytics. These research topics are inspired by real-life problems and innovative strategies in data-driven decision making. The methodologies employed by the members of this research group include artificial intelligence, mathematical optimization, algorithm development, and operations research. These methods are applied to various fields such as logistics, healthcare, energy systems, and sustainability.
Operations Analytics
The Operations Analytics program conducts research on challenging topics in descriptive, prescriptive, and predictive analytics. These research topics are inspired by real-life problems and innovative strategies in data-driven decision making. The methodologies employed by the members of this research group include artificial intelligence, mathematical optimization, algorithm development, and operations research. These methods are applied to various fields such as logistics, healthcare, energy systems, and sustainability.
Our people
Key publications





Upcoming events
Inference in Time-Varying SVARs Identified with Sign Restrictions...
Jonas Arias (Federal Reserve Bank of Philadelphia, United States)
- Erasmus Econometric Institute Series
From Explainable AI to Generative Modeling with Tree-Based Machine...
Marvin N. Wright (Leibniz Institute for Prevention Research and Epidemiology and University of Bremen, Germany)
- Erasmus Econometric Institute Series
Bounds of the Market Risk Premium
Jens Jackwerth (University of Konstanz, Germany)
- Erasmus Econometric Institute Series
From Preference to Choice: The Economic Theory of Decision-making
Faculty: Lia van Wesenbeeck and David Jackson
Academic Distinctions
Editorship
Chintan Amrit
Editorship
Chintan Amrit
Editorship
Chintan Amrit