Stochastic Networks Conference 2026
Learn the latest in stochastic networks at this prestigious event sponsored by Chicago Booth.
Held biennially, this five-day event carries on the tradition of Stochastic Networks conferences initiated in 1987. The conference brings together mathematicians and applied researchers that share an interest in stochastic network models. Explore past conferences here. Student travel grant information is given at the bottom of the page.
Dates: June 15–19, 2026
Location: Gleacher Center
Lodging: Book early! We have secured a limited number of discounted rooms at The Intercontinental Chicago Magnificent Mile and the Sheraton Grand Chicago Riverwalk. Once those rooms have been sold, we encourage out-of-town attendees to choose from the many other hotels available in the downtown Chicago area. Use the following links to book in one of our discounted blocks.
The Intercontinental Chicago Magnificent Mile
The Sheraton Grand Chicago Riverwalk
Registration: Registration is open from now until May 15, 2026, with late registration fees going into effect March 1, 2026. Your registration gives you access to all talks, poster sessions, lunches, and the banquet session. Registered attendees will have the option to pay for one additional guest to attend the banquet dinner. We hope to see you all in-person, but for those who cannot make it to Chicago, there is a view-only virtual option. Registration is non-refundable. Please see below for this year’s rates.
Now Through April 30
| Student | $50 |
| Non-Student | $150 |
| Student Virtual | $25 |
| Non-Student Virtual | $75 |
| Guest Banquet | $70 |
| V/VG Guest Banquet | $60 |
March 1 and After
| Student | $75 |
| Non-Student | $200 |
| Student Virtual | $50 |
| Non-Student Virtual | $100 |
| Guest Banquet | $85 |
| V/VG Guest Banquet | $75 |
*V/VG = Vegan/Vegetarian
Confirmed Speakers:
- Opher Baron: Machine Learning, Causal Queueing, and SiMLQ for Data Driven Simulation
- Jose Blanchet
- Anton Braverman
- Xinyun Chen
- Celine Comte
- Jing Dong
- Xin Guo
- Peter Glynn
- Bruce Hajek
- Eva Locherbach
- Lewis Mitchell
- Debankur Mukherjee
- Eliza O'Reilly
- Alexandre Proutiere
- Ziv Scully
- R. Srikant
- Weina Wang
- Sarath Yasodharan: A Sanov-type Theorem for Marked Sparse Random Graph and its Applications
- Yuan Zhong
- Bert Zwart
Scientific Program Committee:
- Mor Armony
- Francois Baccelli
- Mor Harchol-Balter
- Jim Dai
- Michel Mandjes
- Kavita Ramanan
- Rhonda Righter
- Rajesh Sundaresan
- Peter Taylor
- Neil Walton
- Ruth Williams
- Jiheng Zhang
For questions, contact the local organizing committee: Amy R. Ward (Chair), René Caldentey, John Birge, or Baris Ata.
We gratefully acknowledge outside funding from the Applied Probability Trust (see award program here). We are also very happy to be co-sponsored by IMS; students and new researchers traveling to attend the conference are eligible to apply for their travel grants before the deadline of February 1, 2026. Details may be found here.
Travel Support for Advanced and Recent Student Graduates:
A limited amount of funding will be available to help in defraying the travel costs of advanced or recently graduated PhD students participating in the 2026 Stochastic Networks Conference. Advanced or recently graduated PhD students are individuals expecting to complete their PhD by the end of 2027 or who have received their PhD in 2025 or later. For details on how to apply, click here. The application deadline is 11pm Central Time, January 25, 2026.
