PhD School of Stochastic Programming

The Department of Mathematical Sciences at the University of Copenhagen is organizing the Copenhagen PhD School of Stochastic Programming, which will take place on June 25th – 28th in Copenhagen, Denmark.

The PhD school provides a one-week introduction to Stochastic Programming and is taught by leading experts on the subject. Participants have the possibility of earning 5 ECTS upon successful completion of the course. 

Confirmed lecturers:

  • Francesca Maggioni (University of Bergamo)
  • Asgeir Tomasgard (NTNU, Trondheim)
  • Michal Kaut (Sintef, Trondheim)
  • Alois Pichler (TU Chemnitz)

For registration and more information visit or contact the organizers:

21st French-German-Spanish Conference on Optimization FGS2024

We are pleased to announce that the 21st French-German-Spanish Conference on Optimization FGS2024 will be held in Gijón, Spain, on 18th-21st June 2024. 

Please visit for information about the congress, including the list of invited speakers and the important dates.

We cordially invite you to prepare a mini-symposium or send an individual contribution in any of the areas consistent with the conference theme. The official call will be from October 1st, 2023, until February 14th, 2024. 

We look forward to welcoming you to Gijón in 2024! 

FGS2024 Organizing Committee 

PhD school on robust optimization

We are organizing a PhD school on robust optimization in Montpellier, on June 3-5 2024. The school will cover basics of static, adjustable, and combinatorial robust optimization. You can find more details here:

We invite all interested students and post-doctoral researchers to follow the indications detailed on the website to apply. The deadline for application is January 15, 2024.

Workshop on Parallel Computing in Operations Research

Location and Time

German House, 871 United Nations Plaza, New York, NY 10017, USA
(1st Ave between 48 and 49th Street), March 7, 2024, 12:30pm – 5pm

Motivation and scope

An increasingly important stream of Operations Research (OR) is dedicated to solving computationally intensive problems with parallel algorithms across a wide range of scientific challenges (e.g., NP-hard optimization problems, simulations, data-driven parameterization of algorithms) and application domains (e.g., transportation, traffic, logistics, manufacturing, finance, marketing, energy, health, and social networks, among others). Although parallel computing in OR has a long tradition, it has recently gained momentum and is predicted to continue to do so due to technological advances and innovations such as high-performance computing, GPGPU, quantum computing, and emerging fields based on interfaces with neighboring fields such as data analytics and machine learning.

A variety of scientific (sub)areas of OR and related fields address issues of parallel computing in OR. They are implicitly covered by many journals, conferences and workshops, special interest groups, and (academic, industrial, academic-industrial) projects. However, there are only a few forums that are specifically dedicated to parallel algorithms in OR as their primary focus.

The workshop will focus on the design, implementation, and computational evaluation of parallel algorithms for solving computationally intensive OR problems. Of particular interest are topics related to parallel optimization, high-performance computing, simulation, quantum computing, and the interplay between data science/machine learning and OR.

Addresses and goals

The workshop aims to bring together researchers and practitioners to exchange and develop ideas, share knowledge and experiences, and discuss open problems in parallel computing in OR. It is intended to initiate and foster collaborations and to support community building. For example, it may lead to joint projects, future workshops and conference tracks, joint publications of research papers, research visits, and the establishment of special interest groups in research communities.


  • Short presentations (pitches) only
  • Informal atmosphere with time for discussion
  • No papers or proceedings


  • Registration required; attendance is free of charge.
  • For more information or to RSVP, please send an email to Guido Schryen ( or one of the other organizers.


Prof. Dr. Guido Schryen
Management Information Systems and Operations Research, Paderborn University, Germany,

Prof. Dr. Kevin Tierney
Decision and Operation Technologies, Bielefeld University, Germany,

Prof. Madjid Tavana, Ph.D.
Business Systems & Analytics Department, La Salle University, USA,

In cooperation with Campus OWL New York, Dr. Katja Simons, Executive Director

Campus OWL is a network of five higher education institutions in OstWestfalenLippe (OWL), Germany – Bielefeld University, Paderborn University, Hochschule Bielefeld – University of Applied Sciences and Arts, OWL University of Applied Sciences and Arts, and Detmold University of Music with a liaison office in the German House in New York.