About

The Beyond the Model Meeting (BTMM) is an informal gathering focused on software engineering for building applications with machine-learning components. The meeting aims to foster collaboration and exchange ideas among researchers working on various aspects of integrating ML components into software systems. Topics of interest include, but are not limited to:

The meeting is modeled after the Feature-Oriented Software Development (FOSD) meetings. It features a supportive environment where participants present their research, receive feedback, and engage in discussions. The primary objective is to bring together researchers at different career stages, including undergraduate and early-career graduate students, to share ideas and initiate collaborations.

Note: This meeting is not a publication venue. Participants can present previously published work or work in progress, with an emphasis on fostering discussions and collaborations rather than producing proceedings.

Scope

The BTMM focuses on software engineering activities relevant to building software applications with ML components (including LLMs). It adopts a system view, considering the entire system and its environment beyond the model. Both technical and empirical work is welcome. The following topics are in scope:

The following are out of scope:

Important Dates

Abstract Submission Deadline Recommended by March 31st, 2026, but accepted on a rolling basis until all slots are taken
Beyond-the-Model Meeting 2026 July 10 - 11, 2026

Meeting Format

The meeting consists of short presentations (10-15 minutes) from each participant, followed by ample time for discussion. Presentations can cover:


Attending / Registration

Participant registration is now closed! We’re excited to meet everyone soon.

Participants

Name Title University
Shurui Zhou University of Toronto
Jin Guo McGill University
Veronica Xia Questions for Contestable Design: A Design Tool for User Dispute of Algorithmic Systems McGill University
Kimberly Hau University of Toronto
Christian Kästner On Risks and Correctness in ML Systems Carnegie Mellon University
Pooyan Jamshidi Measuring Legal Compliance in LLMs: A Causal Benchmark for Privacy University of South Carolina
Alexandra González Beyond Generic Models and Datasets: Using MLAssetSelection to Build Robust ML-Enabled Systems Universitat Politècnica de Catalunya - BarcelonaTech (UPC)
Spyridon Alvanakis Apostolou Bridging Literature and Practice: Integrating Agentic AI into Software Product Development Chalmers University of Technology
Lili Wei McGill University
Tamara Paris Don’t Trust the Process: When Verifiability Undermines AI Accountability McGill University and Univeristé Paris Cité
Shalaleh Rismani McGill University and Mila
Alina Mailach Targeting the Hard Part: A Production Readiness Instrument to Go from Demo to Productionization of GenAI Systems Leipzig University
Aren Babikian University of Toronto
Boqi Chen University of Ottawa
Ian Arawjo evalstats: Towards robust statistical analyses of AI evaluation results Université de Montréal

Schedule

To be announced!


Venue & Travel Information

BTMM 2026 will take place at McGill University, Montreal, Canada.

Meeting Location

To be announced!

Accommodation and Costs

(If you would like to volunteer to sponsor the event by paying an optional registration fee, please contact the organizers.)


Contact

For questions or further information, please contact the organizers.

Organizers