MOSS@COLM2026 2026

Deadlines
NLP/CORE Unranked

MOSS@COLM2026 2026

COLM 2026 Workshop on Methods and Opportunities at Small Scale (MOSS)

Oct 09 2026San Francisco, California, United StatesOfficial workshop site Site reachable

MOSS@COLM2026 is a workshop affiliated with COLM 2026 focused on machine learning for social good, encouraging research that applies machine learning techniques to address societal challenges. The workshop welcomes contributions from diverse disciplines including computer science, social sciences, and public policy.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

July 21, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

July 21, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full papers

Original research contributions with substantial technical depth and evaluation.

Short papers

Preliminary results, position papers, or work-in-progress with clear relevance to the workshop themes.

Journal-first papers

Papers already accepted or under review at peer-reviewed journals, with a focus on societal impact.

Research areas in scope

01

Topics of Interest

Machine learning for social goodFairness, accountability, and transparency in MLML for public healthML for educationML for climate actionML for economic developmentML for civic engagement and democracyEthical AI and human-centered designData privacy and security in social applicationsInterdisciplinary approaches to societal challenges

Policies worth checking twice

  • Submissions must be anonymized for double-blind review.
  • Papers must not be under review at any other conference or journal during the MOSS@COLM2026 review period.
  • All submissions must be in PDF format and adhere to the specified page limits (8 pages for full papers, 4 pages for short papers).
  • Authors must include an AI-use statement in the appendix detailing any use of generative AI tools.
  • Author lists and affiliations cannot be changed after the submission deadline.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026