The LNMB Conference on the Mathematics of Operations Research
Format
The annual LNMB conference, The Mathematics of Operations Research, is the premier gathering for senior and junior researchers in the Netherlands working in this field. It serves as the primary annual meeting of Operations Research scientists in the country.
The programme features presentations on cutting-edge research and real-world applications, attracting both academic scholars and professionals from industry and the public sector. Participants gain insight into the latest international and national research developments, as well as the current challenges, projects, and impact of OR in practice.
LNMB hosts four international keynote speakers, who present the latest advancements in Operations Research to a broad audience. Half the programme is dedicated to LNMB PhD students, providing the community with an overview of ongoing OR research within the Netherlands. The third day of the LNMB conference, co-organised with NGB, continues our tradition of connecting research in Operations Research with real-world applications, offering participants a deeper understanding of how OR is applied in practice and addressing contemporary challenges faced by professionals.
When and where
For the next edition, join us in January 2027 at Conference Hotel Kontakt der Kontinenten, Soesterberg, for a special edition awarding the Gijs de Leve Prize to the best PhD thesis in the Netherlands on the Mathematics of Operations Research defended between September 2023 – August 2026.Sponsors
The conference is generously sponsored by:
Conference highlights
- Three days of research presentations and networking
- Four international keynote speakers each year
- More than 200 participants from academia, industry, and government
- Half of the programme dedicated to LNMB PhD research
- Joint LNMB-NGB session on the practice of Operations Research
A selection of past keynote speakers
EPFL (2025)
Metrizing Fairness Nicole Immorlica
Microsoft Research (2024)
Theoretical Models of Generative AI in Economic Environments Rayadurgam Srikant
University of Illinois Urbana-Champaign (2023)
Introduction to Average-Cost MDPs Katya Scheinberg
Cornell University (2022)
Stochastic Oracles and Where to Find Them Adam Wierman
California Institute of Technology (2021)
Competitive Control via Online Optimization Virginia Vassilevska Williams
MIT (2020)
Fine-Grained Algorithms and Complexity Hervé Moulin
University of Glasgow (2019)
Mechanism Design for Fair Division Dimitris Bertsimas
MIT (2018)
Machine Learning via a Modern Optimization Lens Constantinos Daskalakis
MIT (2017)
Testing Distribution Properties John Tsitsiklis
MIT (2016)
Delay, Memory, and Messaging Tradeoffs in Distributed Service Systems Ehud Kalai
Northwestern University (2015)
Rational Learning in Repeated Games Vijay V. Vazirani
Georgia Institute of Technology (2014)
Dichotomies in Equilibrium Computation: Markets Provide a Surprise
See the archive of past conferences for complete programmes and speaker lists.