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.

Format

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

Registration

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

Organizers

Prof. Dr. Guido Schryen
Management Information Systems and Operations Research, Paderborn University, Germany
guido.schryen@upb.de, http://www.misor.org

Prof. Dr. Kevin Tierney
Decision and Operation Technologies, Bielefeld University, Germany
kevin.tierney@uni-bielefeld.de, http://www.tierney.de

Prof. Madjid Tavana, Ph.D.
Business Systems & Analytics Department, La Salle University, USA
tavana@lasalle.edu, https://www.lasalle.edu/business/faculty/madjid-tavana-ph-d/

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. https://www.campus-owl.org

Doktorandenkurs: Advanced Topics in Mathematical Programming

The course is aimed at doctoral students in the field of business administration or related subjects which seek to deepen their understanding of mathematical programming methods in modeling and optimization. Successful participants will be able to:

  • analyze structural elements of common optimization models for problems in research and business practice
  • understand important theoretical aspects that drive successful implementations for complex optimization problems
  • employ advanced mathematical programming techniques to strengthen model formulations and improve solution performance
  • develop mathematical decomposition approaches to tackle large-scale optimization problems

Date: 6.2.2024 – 9.2.2024

Location:
Hamburg University
Raum 0005.1 in der
Moorweidenstrasse 18
20148 Hamburg

Lecturer:
Prof. Dr. Malte Fliedner (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/malte-fliedner.html
malte.fliedner@uni-hamburg.de

Dr. Arne Schulz (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/arne-schulz.html
arne.schulz@uni-hamburg.de

Registration:

Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.

Registration Deadline: 7. Januar 2024

SLMath (MSRI) Workshop: „Algorithms, Approximation, and Learning in Market and Mechanism Design“

November 6-9, 2023 in Berkeley, California
Simons Laufer Mathematical Sciences Institute (SLMath)

Priority Funding Application Deadline: August 31, 2023

Established researchers, postdoctoral fellows, and graduate students in all related fields and industry are invited to join world-renowned mathematicians, computer scientists, economists, and other experts at the Simons Laufer Mathematical Sciences Institute (SLMath), formerly MSRI, in Berkeley, California at „Algorithms, Approximation, and Learning in Market and Mechanism Design“ from November 6-9, 2023.

Workshop registration is open for both in-person and online-only attendees. Those who plan to attend via Zoom only will receive workshop links in advance of the event. Registration is open through the event dates.

SLMath workshops are free of charge to attend, thanks to the generous support of our funders, including the National Science Foundation and the Alfred P. Sloan Foundation.

Register Online

Algorithms, Approximation, and Learning in Market and Mechanism Design

In recent years, economists and computer scientists have collaborated with mathematicians, operations research experts, and practitioners to improve the design and operations of real-world marketplaces. Such work relies on robust feedback between theory and practice, inspiring new mathematics closely linked – and directly applicable – to market and mechanism design questions.

This workshop is aimed at exploring core subjects in the field of market and mechanism design, such as the design of non-convex auction markets, the design of matching markets with preferences, algorithmic mechanism design, and learning in games. These topics are interrelated and deeply rooted in mathematics and computer science. Each day of the 4-day workshop is devoted to one of these topics with talks by leading scholars in the field and panel discussions on major open problems.

Workshop Organizers: Martin Bichler (Technical University of Munich), Péter Biró (KRTK, Eotvos Lorand Research Network)

Featured Workshop Presenters & Panelists

View Workshop Schedule

Monday, November 6, 2023: Matching Markets without Money

  • Jiehua Chen (Technische Universität Wien)
  • Federico Echenique (University of California, Berkeley)
  • David Manlove (University of Glasgow)
  • Alvin E. Roth (Stanford University)
  • Jaychandran Sethuraman (Columbia University)

Tuesday, November 7, 2023: Non-Convex Auction Markets

  • Elizabeth Baldwin (Merton College, University of Oxford)
  • Paul Milgrom (Stanford University)
  • Shmuel Oren (University of California, Berkeley)
  • Rakesh Vohra (University of Pennsylvania)
  • Yinyu Ye (Stanford University)

(Attendee reception follows Tuesday’s events)

Wednesday, November 8, 2023: Algorithmic Mechanism Design

  • Dirk Bergemann (Yale University)
  • Michal Feldman (Tel-Aviv University)
  • Jason Hartline (Northwestern University)
  • Roger Myerson (University of Illinois, Chicago)
  • Sigal Oren (Ben Gurion University of the Negev)

Thursday, November 9, 2023: Learning in Games and Markets

  • Martin Bichler (Technical University of Munich)
  • Michael Jordan (University of California)
  • Ioannis Panageas (University of California, Irvine)
  • Tuomas Sandholm (Carnegie Mellon University)
  • Eva Tardos (Cornell University)

Funding Support & Resources for Workshop Attendees

Funding applications submitted by the priority deadline receive full consideration; later applications are subject to remaining funds. Awards are typically made eight weeks before the workshop. Groups underrepresented in research-intensive contexts including women, gender-expansive individuals, minorities, and mathematicians and related scholars not located at research centers are welcomed and encouraged to apply.

Resources for Workshop Attendees: SLMath is pleased to be able to offer a private room for nursing parents. Childcare grants are available for researchers with children under the age of 18 (limited to U.S. Citizens and Permanent Residents, and foreign visitors with a visa status that allows for compensation, such as a J-1). See website for full details.

Register Online & View Details

Doktorandenkurs „Advanced Topics in Mathematical Programming“

Advanced Topics in Mathematical Programming

The course is aimed at doctoral students in the field of business administration or related subjects which seek to deepen their understanding of mathematical programming methods in modeling and optimization. Successful participants will be able to:

  • analyze structural elements of common optimization models for problems in research and business practice
  • understand important theoretical aspects that drive successful implementations for complex optimization problems
  • employ advanced mathematical programming techniques to strengthen model formulations and improve solution performance
  • develop mathematical decomposition approaches to tackle large-scale optimization problems

Date: 26.9.2023 – 29.9.2023

Location: Hamburg University

Lecturer:

Prof. Dr. Malte Fliedner (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/malte-fliedner.html
malte.fliedner@uni-hamburg.de

Dr. Arne Schulz (Universität Hamburg)
https://www.bwl.uni-hamburg.de/om/team/arne-schulz.html
arne.schulz@uni-hamburg.de

Registration:
Click for information on fees, payment and registration, or email us: prodok@vhbonline.org.
Registration Deadline: August 27, 2023