35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)
Aug 15 - 22, 2026
Bremen, Germany
Aug 15 - 22, 2026
Bremen, Germany

About the Conference

Welcome to IJCAI-ECAI 2026, the 35th International Joint Conference on Artificial Intelligence, the premier international gathering of researchers in AI. The conference will take place in Bremen, Germany, on 15-21 August 2026. Since its founding in 1969, IJCAI has been the premier conference for the global AI community, fostering the exchange of groundbreaking advancements and achievements in AI research. This year, it is organised jointly with the European Artificial Intelligence Association as IJCAI-ECAI 2026. In addition to the main track, authors can submit papers to five special tracks (Human-centered AI, AI for Social Good, AI4Tech: AI Enabling Critical Technologies, AI and Health, and AI and Robotics), as well as the Survey Track.

Subject Areas

Main Track Human-Centred AI AI for Social Good AI4Tech: AI Enabling Critical Technologies AI and Health AI and Robotics Demonstrations Track

Important Dates

2026-01-12 Abstract Submission Deadline CLOSED
2026-01-19 Full Paper Submission Deadline · Including Appendix and resubmission information CLOSED
2026-01-26 Non Primary Paper Payment Deadline CLOSED
2026-03-04 Summary Reject Notification / Phase I Notification CLOSED
2026-04-07 Author Response Period · April 7-10, 2026 CLOSED
2026-04-29 Paper Notification CLOSED
2026-05-20 Camera Ready Copy CLOSED
2026-08-15 Conference Dates · August 15-21, 2026 CLOSED

Call For Papers

Main Track

Any aspect of AI Novel AI research problems AI techniques for novel application domains Papers that cross discipline boundaries within AI

Human-Centred AI

AI, Human Cognition, and Embodied Interaction Interactive human assistance and collaborative autonomy in everyday life and professional work contexts Clinical or medical practice Collaborative problem-solving for engineering design synthesis, discovery, diagnostics, creativity Creative computing Digital Media

AI for Social Good

AI for Environmental Sustainability AI for Healthcare and Well-being AI for Education and Learning AI for Public Health AI for Poverty Alleviation and Economic Development AI for Smart Cities and Urban Planning AI Ethics, Fairness, and Bias Mitigation AI in Human Rights and Justice AI for Marginalized and Vulnerable Communities Interdisciplinary Approaches to AI for Social Good AI for Global Collaboration and Knowledge Sharing

AI4Tech: AI Enabling Critical Technologies

Emerging AI4Tech theories, foundations, methods and systems enabled by human-like, humanoid, natural, physical, and social AI and intelligence Advanced AI4Tech theories, methods and systems enabling generative, decentralized, humanoid, physical, digital, virtual, metaverse, behavioral, emotional, and multimodal AI and intelligent technical systems and services General AI4Tech theories, systems and software, such as original and significant advances for AI agents, AI robots, AI drones, AI chips, AI computers, AI personal assistants, AI vehicles, AI web systems, and AI office software Domain-specific AI4Tech methods and significant applications, such as advancing AI4Manufacturing, AI4Health, AI4Care, AI4Medicine, AI4Finance, AI4Economy, AI4Transport, AI4Agriculture, AI4Grain, AI4Social, AI4Arts, AI4Education, AI4Security, AI4Safety and AI4Regulation Visionary surveys, reviews, and expert opinions on critical, new- and next-generation AI4Tech Sound and visionary discussion on emerging AI4Tech areas and research

AI and Health

AI Methods for Clinical Decision Support, Diagnosis, Prognosis & Treatment Planning Knowledge-based, Agent-based, or Hybrid AI Systems in Medicine & Healthcare Automated reasoning and meta-reasoning in clinical domains Explainable, trustworthy, fair, robust, and privacy-preserving AI for healthcare New computational platforms and learning paradigms (e.g., federated learning, self-supervised learning, continual learning) AI-based modelling and optimisation of healthcare pathways and clinical guidelines Machine learning and data science for medical, biological, and healthcare data (EHRs, time series, omics, wearables) Data mining and analytics for biomedical knowledge discovery Intelligent exploitation of heterogeneous and multimodal clinical data sources Computational intelligence in biomedicine and medically-oriented human biology Natural language processing for clinical and biomedical texts Large Language Models (LLMs) and Foundation Models in Medicine Medical knowledge representation and reasoning (ontologies, knowledge graphs, neuro-symbolic AI) AI-driven medical image and biosignal analysis (segmentation, classification, reconstruction, multimodal fusion) Intelligent medical devices, instruments, and embedded AI systems Telehealth, remote monitoring, and mobile AI in digital health AI for personalised and precision medicine (e.g., genomics, phenotyping, treatment individualisation) AI-enabled drug discovery, pharmaco-informatics, and treatment optimisation Healthcare operations, management, and resource scheduling AI for public health, epidemiology, and population-level modelling Deployment, evaluation, and translation of AI systems into clinical practice (real-world validation, human-AI collaboration, usability) AI in medical and healthcare education Ethical, legal, philosophical, and societal implications of AI in medicine (e.g., regulatory compliance, alignment with the EU AI Act)

AI and Robotics

Generative AI, robotic foundation models, and reinforcement learning Neuro-symbolic and cognitive robotics Structured, semantic, and explicit world models, digital twins, and action representations Intentional, causal, and intuitive physics reasoning Robot control, planning, and execution with guarantees Learning to understand, generalize, and explain actions Foundations of human-robot interaction and assistance Safety, trustworthiness, generalizability, and evaluation

Demonstrations Track

Core AI Methods: Machine Learning, Knowledge Representation & Reasoning, Planning and Scheduling, Computer Vision, Natural Language Processing, Multimodal and Generative AI, Uncertainty in AI AI Systems & Interaction: Human-AI Interaction, Agentic and Multi-Agent Systems, Robotics and Embodied AI, Recommender and Decision-Support Systems, Speech and Conversational Interfaces Trustworthy & Efficient AI: Explainability, Robustness and Safety, Fairness and Privacy, Energy-Efficient and Edge AI AI for Society: Demonstrations that address societal challenges and contribute to the positive impact of AI

Publication & Indexing

PublisherIJCAI
ProceedingsIJCAI-ECAI 2026 Proceedings

Conference Organization

Organized by

International Joint Conferences on Artificial Intelligence (IJCAI)

Co-organized by

European Artificial Intelligence Association (EurAI)

Committee

Conference Chair

Francesca Toni

Imperial College, London

Program Chair

Diego Calvanese

Free Univ. of Bozen-Bolzano

Associate Program Chair

Bo An

Nanyang Technological University

Longbing Cao

Macquarie University

Esra Erdem

Sabanci University

Bernhard Kainz

Imperial College

Carlo Strapparava

Fondazione Bruno Kessler / University of Trento

Program Administrator In Chief

Francisco Cruz

Brainful Labs

Workflow Chair

Francesco Di Cosmo

Free Univ. of Bozen-Bolzano

Mattia Fumagalli

Free Univ. of Bozen-Bolzano

Elena Romanenko

Free Univ. of Bozen-Bolzano

Ognjen Savković

Free Univ. of Bozen-Bolzano

Special Track AI4Tech Chairs

Longbing Cao

Macquarie University

Usama Fayyad

Northeastern University

Qiang Yang

Hong Kong University of Science and Technology

Special Track AI and Health Chairs

Luca Romeo

Professor · University of Macerata

Carlo Combi

Professor · University of Verona

Special Track AI and Robotics Chairs

Tamim Asfour

Karlsruhe Institute of Technology

Michael Beetz

University of Bremen

Kento Kawaharazuka

University of Tokyo

Alessandro Saffiotti

Orebro University

Alin Albu-Schaeffer

DLR and Technical University Munich

Special Track AI for Social Good Chairs

Hau Chan

University of Nebraska

Yun Sing Koh

University of Auckland

Aparna Taneja

Google Research India

Special Track on Human-Centred AI Chair

Mehul Bhatt

Örebro University

Sister Conferences & Journal Track Chairs

Tim Miller

University of Queensland

Magdalena Ortiz

Vienna University of Technology (TU Wien)

Demonstrations Track Chairs

Susanne Boll

University of Oldenburg

Matthias Thimm

University of Hagen

Doctoral Consortium Chairs

Maria Chang

IBM Research AI

Leilani Gilpin

UC Santa Cruz

Vladislav Ryzhikov

University of London

Workshops Chairs

Francesco Belardinelli

Imperial College London

Marvin Wright

Leibniz Institute for Prevention Research and Epidemiology

Tutorials Chairs

Fabio Patrizi

University of Rome

Britta Wrede

Bielefeld University

Diversity and Inclusion Chairs

Maria Vanina Martinez

IIIA CSIC

Martin Mundt

University of Bremen

Survey Track Chairs

Yves Lesperance

York University

Yingzhen Li

Imperial College London

Competitions Chairs

Reyhan Aydogan

Özyeğin University

Jochen Renz

Australian National University

Ethics Chairs

Marija Slavkovik

University of Bergen

Toby Walsh

University of New South Wales

Local Arrangements Chair

Tanja Schultz

Universität Bremen

Frank Kirchner

Universität Bremen, German Research Center for Artificial Intelligence (DFKI)

Monika Michaelis

U Bremen Research Alliance

Event Chair

Katalina Kopka

University of Bremen

Klaus Eickel

Fraunhofer Institute for Digital Medicine (MEVIS), Bremerhaven University of Applied Sciences

Sponsorship Chair

Antonio Krüger

German Research Center for Artificial Intelligence (DFKI)

Web Chair

Nico Hochgeschwender

University of Bremen

Student Volunteer Chair

Lena Wollschläger

U Bremen Research Alliance (UBRA)

Caroline von Dresky

University of Lübeck

Publicity Chair

Ralf Möller

German Informatics Society (GI), University of Hamburg

Rolf Drechsler

German Research Center for Artificial Intelligence (DFKI), University of Bremen

Tutorials Coordinator

Nicole Megow

University of Bremen

Demonstration Track Coordinator

Rainer Malaka

University of Bremen

Diversity and Inclusion Coordinator

Wiebke Brinkmann

German Research Center for Artificial Intelligence (DFKI), Robotics Innovation Center

Competition Coordinator

Leif Christensen

German Research Center for Artificial Intelligence (DFKI), Robotics Innovation Center

Felix Putze

University of Bremen

Robot Exhibition Chair and Coordinator

Michael Beetz

University of Bremen

Nina Hoyer

University of Bremen, German Research Center for Artificial Intelligence (DFKI), Robotics Innovation Center

Industry Day Coordinator

Horst Hahn

Fraunhofer Institute for Digital Medicine (MEVIS)

Maren Emde

University of Bremen

Event and Welcome Coordinator

Pauline von Oehsen

U Bremen Research Alliance (UBRA)

Sponsorship Coordinator

Derk Schönfeld

U Bremen Research Alliance (UBRA)

Track Workflow Chair (AI4Tech)

Xiangmin Zhou

RMIT University

Track Workflow Chair (AI and Robotics)

Hagen Langer

University of Bremen

EurAI President

Holger Hoos

RWTH Aachen University

IJCAI Secretary Treasurer

Kristian Kersting

University of Darmstadt, German Research Center for Artificial Intelligence (DFKI)

IJCAI Executive Director and Secretary

Vesna Sabljakovic-Fritz

Center for Computer Science, Germany

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