CODS 2026 — 14th ACM IKDD International Conference on Data Science

CODS 2026, the 14th ACM IKDD International Conference on Data Science, runs December 13-16, 2026 at the Dhirubhai Ambani Institute of Information and Communication Technology in Gandhinagar, India. It was called CODS-COMAD from 2018 to 2024 and is held in cooperation with ACM, IKDD and the ACM India Council, with proceedings in ACM ICPS. The program has research and applied data science papers, keynotes, tutorials, posters and system demos. This edition adds an AI for Biology track alongside the Main Track, a Young Researchers' Symposium, Early Career Highlights talks, a Rising Star Award and a startups call. Keynote speakers include Christina Leslie (Memorial Sloan Kettering), Manohar Swaminathan (Microsoft Research India), Nisheeth Vishnoi (Yale), Anirban Dasgupta (IIT Gandhinagar) and Ganesh Ramakrishnan (IIT Bombay). The event is fully in person.

• Camera-ready deadlineNov 18, 2026

Date

December 13–16, 2026

Location

Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

ACM India / IKDD (ACM India Special Interest Group on Knowledge Discovery and Data Mining)

Added

Oct 14, 2026

Updated

Oct 14, 2026

• ✓Data scientists
• ✓Machine learning researchers
• ✓Heads of data and analytics
• ✓Database and data platform engineers
• ✓AI product and research leads at Indian tech companies
• ✓PhD students and early-career researchers

For an engineering or data leader with teams in India, CODS is a cheap way to meet the country's ML and data-systems research community in one place and to see what applied groups at Google, Microsoft Research India, Amazon, Intuit and TCS Research are working on. The deployment and MLOps papers are useful benchmarks for your own platform choices. The Rising Star Award and Young Researchers' Symposium give you a shortlist of PhD and early-career hires. It is also a low-cost venue for your own team to publish applied work, with a 2-page non-archival option. A non-member professional pass is USD 250 plus GST.

• ✓Main Track (archival 8-page and non-archival 2-page papers)
• ✓AI for Biology Track (new in 2026)
• ✓Young Researchers' Symposium
• ✓Early Career Highlights invited talks
• ✓Rising Star Award
• ✓Startups call
• ✓Keynotes, tutorials, poster sessions and system demonstrations
• ✓Best technical paper award and student travel grants

• ★It is the main ACM-backed data science research meeting in India, and sponsors include Google, Sarvam AI, InMobi, Intuit, Adobe, Amazon, Microsoft and TCS Research.
• ★A 'Deployments and Lessons Learned' topic area asks for MLOps experience and measured business impact, so applied teams present alongside researchers.
• ★It covers both AI and data management, including LLM-style queries over unstructured data and ML inside database internals.
• ★Fees are low for an international conference: a non-member professional pays INR 15,000 or USD 250 to attend.

Registration is open. Non-author rates: Professional INR 12,000 / USD 200 (ACM member) or INR 15,000 / USD 250 (non-member); Academician INR 6,500 / USD 125 (member) or INR 8,000 / USD 150 (non-member); Student INR 3,500 / USD 75 (member) or INR 5,000 / USD 100 (non-member). Author rates are higher (Professional non-member INR 18,000 / USD 325). 18% GST is added to all rates. No early or late deadlines are published.

When is CODS 2026?

CODS 2026 takes place December 13–16, 2026 in Gandhinagar, India.

Where is CODS 2026 held?

CODS 2026 is held in Gandhinagar, India. The event format is in-person.

What is the CODS 2026 submission deadline?

The next CODS 2026 deadline is camera-ready deadline on Nov 18, 2026.

How much does CODS 2026 cost?

CODS 2026 is paid. Registration is open. Non-author rates: Professional INR 12,000 / USD 200 (ACM member) or INR 15,000 / USD 250 (non-member); Academician INR 6,500 / USD 125 (member) or INR 8,000 / USD 150 (non-member); Student INR 3,500 / USD 75 (member) or INR 5,000 / USD 100 (non-member). Author rates are higher (Professional non-member INR 18,000 / USD 325). 18% GST is added to all rates. No early or late deadlines are published.

Who should attend CODS 2026?

CODS 2026 is aimed at Data scientists, Machine learning researchers, Heads of data and analytics, Database and data platform engineers, AI product and research leads at Indian tech companies, PhD students and early-career researchers.

What topics does CODS 2026 cover?

CODS 2026 covers Machine learning and data mining, Deep learning, reinforcement learning and federated learning, Data management and database systems, AI for data management (LLM queries over unstructured data, ML for database tuning), Data science ethics: fairness, explainability, model alignment and governance, MLOps and real-world deployments, AI for biology.

This page was written from 4 sources, 1 on domains other than ikdd.acm.org.

1. 1.ikdd.acm.org — cods 2026vendor
2. 2.ikdd.acm.org — registrationvendor
3. 3.ikdd.acm.org — call for main track papersvendor
4. 4.groups.google.com — DDWGzAJ2cHU