CFP: 7th MusIML Workshop at NeurIPS 2026, Open to All, Supported Attendance

[Shaokai Yang]

Dear colleagues,

We are pleased to announce the 7th Muslims in Machine Learning (MusIML) Workshop at NeurIPS 2026.

Everyone is welcome to submit, there are no restrictions on authors, and researchers of all backgrounds are encouraged to participate.

This year we welcome submissions to five tracks:

Track 1: ML for Muslim Communities and Islamic Contexts

Research on Quran and Hadith analysis, Islamic digital humanities, language and speech technologies, education, healthcare, governance, datasets, fairness, and representation. Open to all researchers, regardless of background.

Length: 4 pages (short) or 8 pages (long).

Track 2: Mentored Research and Networking

Research from the Ibtikar × MusIML program or Fatima Fellowship, with the mentee as first author (4/8 pages);

Track 3: AI System Demonstrations

Working AI systems for Islamic contexts or Muslim communities: research prototypes, open-source tools, educational platforms, agentic systems, and deployed applications. Submissions include a 2-page (short) or 4-page (long) paper, an anonymized AI-narrated 3–5 minute video, and comparison with existing systems. Accepted demos present live.

Track 4: ML Competition Proposals for Social Impact

Competition proposals with a ready-to-use dataset, a 10% dataset sample, defined evaluation metrics, and evaluated baseline results.

Length: max 2 pages.

Track 5: ML Research by Muslim Scholars

Any ML/AI topic: AI for Science, LLMs, generative AI, vision, speech, probabilistic methods, federated learning, robotics, AI ethics and safety, and more. At least one author self-identifies as Muslim. Papers submitted to NeurIPS or other top-tier AI main conferences this year are also welcome here.

Length: 4 pages (short) or 8 pages (long).

Support for attending NeurIPS 2026 is available through the NeurIPS Affinity Program and MusIML, with priority given to authors of accepted papers presenting in person.

Support is awarded on an equal basis to all authors.

Submit via OpenReview: https://openreview.net/group?id=NeurIPS.cc/2026/Workshop/MusIML

We look forward to your submissions, please feel free to share this call with your colleagues and networks.

More info: https://www.musiml.org/events/2026-NeurIPS/index.html | Slack: https://join.slack.com/t/musimlworkshop/shared_invite/zt-43u8ak9w3-xXYCBvvMmwbGeMddeFPh~g

The MusIML Organizing Team