ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2026

International Convention Center Jeju (ICC Jeju)

Aug 9 - 14, 2026

International Convention Center Jeju (ICC Jeju)

Jeju, Korea (South)

Aug 9 - 14, 2026

Jeju, Korea (South)

About the Conference

KDD is the premier Data Science and AI conference with a Research track, an Applied Data Science Track, a new Datasets & Benchmarks Track, and a new AI for Sciences Track. The conference will take place from August 9 to 13, 2026, in Jeju, Korea, at the International Convention Center Jeju (ICC Jeju). KDD has two submission cycles per year.

Subject Areas

Research Track: Foundations of Knowledge Discovery and Data Science Research Track: Modern AI and Big Data Research Track: Trustworthy and Responsible Data Science Research Track: Systems for Data Science and Scalable AI Research Track: Data Science Applications Applied Data Science (ADS) Track Application Areas Datasets and Benchmarks Track Submission Categories AI for Sciences Track Topics AI for Sciences Track Domains

Keynote Speakers

Jeff Dean

Chief Scientist · Google

Jingren Zhou

Senior Vice President and Chief AI Architect · Alibaba

Regina Barzilay

School of Engineering Distinguished Professor of AI & Health · MIT

Important Dates

2026-02-01 Abstract Deadline CLOSED

2026-02-08 Paper Deadline CLOSED

2026-04-04 Author Rebuttal Period · Apr 4-18, 2026 CLOSED

2026-05-16 Notification CLOSED

2026-06-01 Camera-ready CLOSED

2026-08-09 Conference Dates · August 9-13, 2026 CLOSED

Call For Papers

Research Track: Foundations of Knowledge Discovery and Data Science

data-driven learning and structured knowledge extraction, including supervised, unsupervised, semi-supervised, and self-supervised learning, classification, regression, clustering, and dimensionality reduction model selection and optimization probabilistic and statistical methods (e.g., Bayesian inference, graphical models) matrix and tensor methods structured and relational learning from data

Research Track: Modern AI and Big Data

deep representation learning, meta-learning, in-context learning, prompt engineering, continual learning, few-shot adaptation, reinforcement learning, generation, and reasoning, including generative models (e.g., GANs, VAEs), large language models (LLMs), and multimodal foundation and frontier models operating on big data AI’s role in emergent reasoning, automated insight generation, knowledge graph construction, hypothesis generation, neural-symbolic integration, and deriving novel concepts from large complex data

Research Track: Trustworthy and Responsible Data Science

data security data privacy data transparency accountability in data-driven systems privacy-preserving learning adversarial robustness interpretability and explainability of models decision support visualization fairness in data mining ethical data processing algorithmic auditing frameworks for responsible AI development and deployment

Research Track: Systems for Data Science and Scalable AI

efficient approaches to support high-volume data analysis, streaming, sampling, and summarization data integration, transformation, and cleaning at scale data mining and machine learning for systems—machine learning for database management, learning device placement, orchestration, and scheduling of computational and data workflows

Research Track: Data Science Applications

methods for analyzing scientific, social science, medical, and legal data time series, text, graphs, Internet of Things (IoT) data recommender systems quantum data science, including algorithms and information-theoretic approaches for quantum machine learning and data processing in quantum systems

Applied Data Science (ADS) Track Application Areas

Advertising, Marketing, and E-commerce Social and professional networks News Feed, Search and Recommendations Financial Applications (including fintech, banking, insurance) Geospatial Applications (including smart cities, transportation, mapping) Industrial Applications (including medical devices, robotics, sensors) Scientific Applications (including computational biology, health, environmental science) Trust and Responsible AI Applications (including policy enforcement, regulatory compliance, ethics, fairness, privacy, and fraud detection) Resource Allocation Applications (including Cloud, intranet, and other large system allocation optimizations) Applications of Generative AI (including text, code, and media) AI for medicine or science

Datasets and Benchmarks Track Submission Categories

New Datasets Benchmarks and Benchmarking Tools Data Generators and Environments Data-Centric AI Methods and Tools Advanced Data Collection and Curation Practices Responsible Dataset Development Competitions and Challenges

AI for Sciences Track Topics

AI-driven Scientific Discovery AI-accelerated Simulations and Modeling AI for Data-rich Science Scientific Foundation Models

AI for Sciences Track Domains

Physical Sciences Biomedical Sciences Life Sciences Environmental and Earth Sciences Robotics and Automation Transportation and Urban Systems Social Sciences and Economics

Publication & Indexing

PublisherACM

Conference Organization

Organized by

ACM SIGKDD

Supported by

National Science Foundation

In cooperation with

Executiveevents YEHA DMC Co., Ltd., Jeju, Korea Tencent HKUST

Committee

General Chairs

Won Kim

EMRO

Jae-Gil Lee

Korea Advanced Institute of Science and Technology

Kyuseok Shim

Seoul National University

Research Track Program Chairs

Xiangliang Zhang

University of Notre Dame

Srinivasan Parthasarathy

Ohio State University

James Caverlee

Texas A&M University

David Gleich

Purdue University

Applied Data Science Track Program Chairs

WeeHyong Tok

Microsoft

Qi He

Microsoft

Faisal Farooq

Romer Rosales

YouTube

Datasets and Benchmarks Track Program Chairs

Yan Liu

University of Southern California

Haixun Wang

EvenUp

Sayan Ranu

Indian Institute of Technology

Ambuj Singh

University of California, Santa Barbara

AI for Science Track Program Chairs

Carl Yang

Emory University

Leman Akoglu

Carnegie Mellon University

Blue Sky Ideas Track Program Chairs

Vagelis Papalexakis

University of California Riverside

Nitesh Chawla

University of Notre Dame

Applied Data Science Invited Talk Chairs

Ron Bekkerman

NJIT and Constellation Data Labs

Balaji Krishnapuram

Local Arrangement Chairs

Ok-Ran Jeong

Gachon University

Ki Yong Lee

Sookmyung Women’s University

Ha-Joo Song

Pukyong National University

Jungeun Kim

Inha University

Web Chairs

Jonathan Ventura

Cal Poly SLO

Suan Lee

Semyung University

Lecture-Style Tutorial Chairs

Meng Jiang

University of Notre Dame

U Kang

Seoul National University

Hands-on Tutorial Chairs

Lingyang Chu

McMaster University

Kijung Shin

KAIST

Panel Chairs

Jian Pei

Duke University

Vipin Kumar

University of Minnesota

Workshop Chairs

Lei Chen

Hong Kong University of Science and Technology

Peng Cui

Tsinghua University

Karina Gibert

Universitat Politècnica de Catalunya (UPC)

Xavier Angerri

Universitat Politècnica de Catalunya (UPC)

Joyce Jiyoung Whang

KAIST

Social Media / Publicity Chairs

Bingxue ZHANG

University of Shanghai for Science and Technology

Eliana Pastor

Politecnico di Torino

Jessie Li

Yunqi Academy of Engineering

Susik Yoon

Korea University

Finance Chairs

Fanny Ye

University of Notre Dame

Chulyun Kim

Sookmyung Women’s University

Sponsorship Chairs

Shenghua Bao

Amazon

Huiji Gao

Airbnb

Xin Wang

Tianjin University

Woong-Kee Loh

Gachon University

KDD Cup Chairs

Tim Weninger

University of Notre Dame

Shobeir Fakhraei

Amazon

Jongwuk Lee

Sungkyunkwan University

Proceeding Chairs

Zhe Jiang

University of Florida

Dawei Zhou

Virginia Tech

Joonho Kwon

Pusan National University

Poster Chairs

Sungsu Lim

Chungnam National University

Elena Zheleva

University of Illinois Chicago

Yanjie Fu

Arizona State University

Undergraduate Consortium Chairs

David Anastasiu

Santa Clara University

Agoritsa Polyzou

Florida International University

Simon Woo

Sungkyunkwan University

PhD Consortium Chairs

Matteo Riondato

Amherst College

Giulia Preti

CENTAI

Student Travel Award Chairs

Francesco Pierri

Politecnico di Milano

Chen Chen

University of Virginia

Artifact Badging Chairs

Daniel Garijo

Universidad Politécnica de Madrid

Ying Sun

The Hong Kong University of Science and Technology (Guangzhou)

Ethics Chairs

Claudia Perlich

Two Sigma

WeeHyong Tok

Microsoft

Liaison Representatives, Jeju Autonomous Provincial Government and KDD 2026

Jinhun Cho

Jeju Tourism Organization

Jeongeun You

Jeju Tourism Organization