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.
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
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