IEEE BigData 2026 — IEEE International Conference on Big Data

The 2026 IEEE International Conference on Big Data (IEEE BigData 2026) takes place 14-17 December 2026 at the Sheraton Phoenix Downtown in Phoenix, Arizona. Run by IEEE, it is one of the longest-running venues where data-infrastructure research and production practice meet. The 2026 call is organised around ten tracks: Big Data Science and Foundations, Infrastructure, Management, Search and Mining, Data Ecosystem (fairness, trust, privacy and data monetisation), Foundation Models for Big Data, Applications, Big Data for Science, Benchmarks, and BlueSky Ideas. Beyond the main paper track the week carries workshops, tutorials, Big Data Cup competitions, an industrial and government track, special sessions on federated learning, healthcare data and privacy, plus undergraduate/REU and high-school symposia. Papers were due 21 August 2026, with notifications on 24 October and camera-ready copy on 14 November.

• Paper submission deadlineAug 21, 2026
• Notification to authorsOct 24, 2026
• Camera-ready deadlineNov 14, 2026

Date

December 14–17, 2026

Location

Sheraton Phoenix Downtown, Arizona

Format

In-Person

Event Type

Conference

Status

Upcoming

Pricing

Paid

Organizer

IEEE

Added

Aug 18, 2026

Updated

Aug 18, 2026

• ✓Chief Data Officers
• ✓Data platform engineers
• ✓Machine learning engineers
• ✓Data governance leads
• ✓Enterprise architects
• ✓Government data leaders
• ✓Academic data mining researchers

This is where a data platform lead goes to answer 'what does our stack look like in three years'. The Foundation Models for Big Data track is squarely about the problems enterprises hit in production — training-data management, prompt engineering at scale, and serving cost — while the industrial and government track means the case studies come from people running real systems rather than labs. The benchmarks and data-ecosystem sessions give a defensible technical basis for challenging vendor performance, fairness and governance claims, and the federated-learning special session is directly relevant to any regulated business that cannot centralise its data.

• ✓Foundation Models for Big Data track — deployment, prompt engineering and training-data management
• ✓Industrial and Government track for production deployment reports
• ✓Big Data Cup competitions
• ✓Special sessions on Federated Learning, Healthcare Data, and Privacy and Security of Big Data
• ✓Big Data Benchmarks track on datasets and evaluation frameworks
• ✓Workshops and tutorials programme
• ✓Undergraduate and REU Consortium plus a High School Symposium

• ★Ten distinct research tracks rather than one paper pool, including one dedicated to foundation models for big data
• ★An industrial and government track that puts practitioners on the programme alongside academic authors
• ★An explicit benchmarks track covering datasets, evaluation frameworks and data-centric AI tooling
• ★Big Data Cup competitions run on real datasets rather than leaderboard demos
• ★IEEE-run with a long publication record, so accepted work lands in IEEE Xplore

Registration rates were not published on the conference site as of 18 August 2026 — the site carries the calls for papers and preliminary programme only, and states that specific details are still to come.

When is IEEE BigData 2026?

IEEE BigData 2026 takes place December 14–17, 2026 in Phoenix, Arizona.

Where is IEEE BigData 2026 held?

IEEE BigData 2026 is held in Phoenix, Arizona. The event format is in-person.

What is the IEEE BigData 2026 submission deadline?

The next IEEE BigData 2026 deadline is paper submission deadline on Aug 21, 2026. Remaining dates: Notification to authors — Oct 24, 2026; Camera-ready deadline — Nov 14, 2026.

How much does IEEE BigData 2026 cost?

IEEE BigData 2026 is paid. Registration rates were not published on the conference site as of 18 August 2026 — the site carries the calls for papers and preliminary programme only, and states that specific details are still to come.

Who should attend IEEE BigData 2026?

IEEE BigData 2026 is aimed at Chief Data Officers, Data platform engineers, Machine learning engineers, Data governance leads, Enterprise architects, Government data leaders, Academic data mining researchers.

What topics does IEEE BigData 2026 cover?

IEEE BigData 2026 covers Big Data, Foundation Models, Machine Learning, Data Infrastructure, Data Governance, Federated Learning, Data Privacy and Security, Data Engineering.

This page was written from 3 sources, 1 on domains other than bigdataieee.org.

1. 1.bigdataieee.org — BigData2026vendor
2. 2.bigdataieee.org — papersvendor
3. 3.clocate.com — 57802