First Edition · May 29, 2026 · Virtual · Free

Supported by a Cohere Labs Catalyst Grant

Can AI research
Northeast India?

The first workshop focused on AI assisted research on Northeast India's languages, cultures, and ecosystems - openly, transparently, and with full disclosure. Inspired by Agents4Science 2025 (Stanford).

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Questions about the workshop? Write to connect@mwirelabs.com

May 29

Workshop Date

Accepted Papers

Virtual & Free

No Fees · Open to All

About

An open experiment in AI-assisted regional research

NortheastGenAI is a focused workshop on AI-assisted research for Northeast India - a region home to over 200 languages, extraordinary biodiversity, and rich oral traditions that remain almost entirely absent from global AI research.

The workshop draws inspiration from the spirit of Agents4Science 2025, an open experiment in AI-assisted research - while adapting it for a domain where the stakes are highest: low-resource, underrepresented, and urgently underdocumented knowledge systems of the Eastern Himalayan and Indo-Burma region.

This workshop does not position AI research as a replacement for human scholarship. We are asking an open question and publishing everything that results. All submissions, prompting methods, and AI-generated reviews are publicly visible on OpenReview. Humans remain the final gatekeepers. Every AI-assisted review is followed by a human editorial check. No acceptance or rejection is decided by AI alone. The final call on all submissions rests with the workshop chairs and program committee.

This workshop positions Northeast India as a critical testbed for AI in truly low-resource, high-diversity environments. NortheastGenAI is supported by a Cohere Labs Catalyst Grant for AI-assisted research.

Tracks

Topics of Interest

We invite AI-assisted research submissions across three broad tracks, all with a Northeast India focus. Interdisciplinary submissions are especially welcome.

Language, Culture and Heritage

Research on the languages, oral traditions, and cultural knowledge systems of Northeast India, including efforts to document, preserve, and digitise them.

Low-resource NLP · ASR and MT · Script and OCR · Oral traditions · Folklore · Indigenous knowledge · Digital archiving · Manuscript preservation

Society, History and Anthropology

Research on the social structures, histories, and communities of Northeast India, including governance, identity, and cultural change over time.

Community structures · Migration and identity · Oral history · Ethnography · Indigenous governance · Gender studies · Historical documentation

AI and Technology for NE India

Research on how AI and digital technology can serve the specific needs of Northeast India, including infrastructure, education, and public services.

AI applications · Low-resource models · EdTech · GovTech · Digital infrastructure · Mobile and rural technology · Multilingual systems · Biodiversity monitoring · Traditional ecological knowledge · Climate resilience

Read the Call for Papers →

Program

Workshop Program — May 29, 2026

Indicative schedule in IST. Full program confirmed after acceptances.

10:30 to 10:45

Opening Remarks

Welcome by MWire Labs. Introduction to NortheastGenAI.

10:45 to 11:05

Keynote I — Bonaventure F. P. Dossou

Doing More with Less: Efficient Methods for Low-Resource Languages

11:05 to 11:25

Keynote II — Dr. Prabhat Kumar Bharti

CO-REVIEWER: Can AI Review Like a Human? An Agentic Framework for LLM–Human Alignment in Peer Review

11:25 to 12:35

Paper Presentations

7 accepted papers · 10 minutes each including Q&A

From Oral Tradition to Digital Future: Documenting the Mising Language through Community Initiatives and AI

Mahatma Doley

OpenReview ↗

AI and Digital Public Infrastructure for Northeast India: A Low Resource Framework for Inclusive Governance, Education, and Climate Resilience

Ananya Mall

OpenReview ↗

Is Khasi Society Truly Matriarchal? A Critical Study of Matriliny and Gender Power in Meghalaya

Arman Khan, Shaneya Dutta

OpenReview ↗

AssamBench: Toward a Comprehensive Benchmark for Evaluating Large Language Models on Assamese

Jubeir Jadid, Mustafa Azad Hussain

OpenReview ↗

Language, Artificial Intelligence, and Digital Equity in North East India: A Quantitative and Policy Analysis of Low-Resource Language Exclusion, Educational Infrastructure, and Climate Knowledge System

Amme Shirisha, Baksheesh Sachar

OpenReview ↗

AI-Assisted Spatio-Temporal Analysis of Forest Cover and Carbon Dynamics in Northeast India: A Remote Sensing and GIS Approach

Arman Khan

OpenReview ↗

Beyond Connectivity: A Multi-Dimensional AI Readiness Gap Analysis for Northeast India

Baksheesh Sachar, Amme Shirisha

OpenReview ↗

12:35 to 12:50

Closing and Proceedings

Proceedings PDF released via Northeast Langchive. NortheastGenAI 2027 announcement.

Proceedings Publisher — Northeast Langchive · Academic book series with ISBN, CC-BY-4.0. northeastlangchive.org ↗

Team

Organizing Committee

Workshop Chairs

Badal Nyalang

Director, MWire Labs
Shillong, Meghalaya

Dr. Dibya Jyoti Bora

Dean, School of Computing Sciences
Assam Kaziranga University

Dr. Monali Longmailai

Assistant Professor, Dept. of Linguistics
Assam University, Silchar

Dr. Clarissa Jane Rajee

Assistant Professor, School of Languages
and Cultural Communication
Martin Luther Christian University, Shillong

Dr. Teisovi Angami

Assistant Professor, Dept. of Information Technology
School of Engineering & Technology
Nagaland University

Keynote Speakers

Keynote I

Bonaventure F. P. Dossou

PhD Candidate, McGill University & Mila · Masakhane Research Community

Doing More with Less: Efficient Methods for Low-Resource Languages

Beninese AI researcher working at the intersection of low-resource NLP and healthcare AI. One of the leading researchers behind the computational study of Fon, playing a key role in bringing it into Google Translate. A core member of Masakhane — building AI that works for the communities that built the world's languages, not just the ones that dominate its datasets.

Keynote II

Dr. Prabhat Kumar Bharti

Assistant Professor, Dept. of CSE, Bennett University

CO-REVIEWER: Can AI Review Like a Human? An Agentic Framework for LLM–Human Alignment in Peer Review

AI researcher focused on trustworthy, explainable, and human-aligned AI systems for scholarly communication. Previously an Institute Postdoctoral Researcher at IIT Mandi. His CO-REVIEWER framework explores multi-agent LLM alignment in peer review.

Program Committee