Connectionists: [Meetings] CFP - IEEE Int. Conf. Development and Learning (ICDL) 2026
alessandra.sciutti at gmail.com
alessandra.sciutti at gmail.com
Tue Jan 13 08:18:29 EST 2026
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CfP IEEE ICDL 2026
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https://attend.ieee.org/icdl-2026/
1518 September 2026 in Kyoto, Japan
2026 IEEE International Conference on Development and Learning (ICDL)
We invite submissions that advance our understanding of the development and
learning of intelligent systemsboth natural and artificial. ICDL brings
together researchers from developmental science, neuroscience, psychology,
cognitive science, robotics, and artificial intelligence, fostering
interdisciplinary dialogue on embodied, cognitive, and lifelong learning.
In ICDL 2026, we continue to promote a broad range of contributions and
highlight two Challenge Awards (BabyBot Challenge and BabyObserve
Challenge), which encourage strong connections between computational
modeling, developmental phenomena, and robotics.
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Important Deadlines
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March 13, 2026 (23:59 AoE)
- Full Papers (6 pages; up to +2 pages with fee)
- Workshop & Tutorial Proposals
April 1, 2026 (23:59 AoE)
- Journal Presentations
June 12, 2026 (23:59 AoE)
- Late-Breaking Results (12 pages)
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Keynote Speakers
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- Yukiyasu Kamitani (Kyoto University, Japan)
- Victoria Leong (Nanyang Technological University, Singapore)
- Georg Martius (MPI-IS / University of Tübingen, Germany)
- Tim Verbelen (VERSES, USA)
More speakers will be announced soon.
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Topics
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ICDL is a unique conference gathering researchers from computational
sciences (robotics, AI, cognitive architectures) and developmental studies
(psychology, linguistics, anthropology, neuroscience, philosophy). We
welcome submissions on topics including, but not limited to:
- general principles and theories of development and learning
- embodied learning in biological systems and robots
- development of motor, perceptual, and cognitive skills
- developmental stages and sensitive periods
- architectures for cognitive development and lifelong learning
- emergence of body knowledge and affordance perception
- motor learning and control of body movements
- curiosity, intrinsic motivations, exploration, play, active learning
- prediction, planning, and problem solving
- developmentally inspired machine learning
- applications of machine learning to human and animal development
- AI and machine learning methods for developmental and behavioral sciences
- emotional development and the role of emotion in learning
- emergence of verbal and nonverbal communication
- metacognitive skills and explicit communication
- humanhuman and humansystem interaction
- epistemological and philosophical foundations
- relationships between evolution and development
- ethics in modeling learning and development
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Submission
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ICDL 2026 accepts four types of submissions.
Full Papers (6 pages + optional 2 pages)
Deadline: March 13, 2026 (23:59 AoE)
Original, mature research contributions. Accepted papers will be presented
orally or as posters and included in the IEEE ICDL 2026 Proceedings on IEEE
Xplore.
Workshops & Tutorials
Deadline: March 13, 2026 (23:59 AoE)
We invite proposals for half-day or full-day workshops or tutorials
(optionally including competitions).
Journal Presentations
Deadline: April 1, 2026 (23:59 AoE)
Poster presentations of journal papers published between April 2025 and
March 2026.
Late-Breaking Results (12 pages)
Deadline: June 12, 2026 (23:59 AoE)
For late-breaking or early-stage research. Accepted submissions will be
presented as posters but not included in IEEE Xplore.
For detailed submission instructions, please refer to:
- https://attend.ieee.org/icdl-2026/contribute/call-for-papers/
- https://attend.ieee.org/icdl-2026/contribute/call-for-workshops-tutorials/
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Challenge Awards
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BabyBot Challenge Award
Recognizes computational models that strongly connect developmental
psychology with robotics or computational modeling.
Evaluated on:
representation of targeted experimental phenomena
replication of empirical findings and parsimony
clarity of cognitive mechanisms and novel insights/predictions
Authors may opt-in during submission.
BabyObserve Challenge Award
Highlights novel or "edge case" observational phenomena in child development
that may inspire computational modeling.
Evaluated on:
novelty and importance of the phenomenon
clarity for inspiring computational models
theoretical grounding and links to existing literature
Authors may opt-in during submission.
General Chair: Tadahiro Taniguchi
Program Chair: Shingo Murata
Program Co-Chairs: Tatsuya Daikoku, Pablo Lanillos, Junko Kanero, Alejandra
Ciria, Namiko Saito
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Alessandra Sciutti (PhD)
Senior Researcher Tenure Track P.I. CONTACT Unit
Istituto Italiano di Tecnologia Via Enrico Melen 83, Building B 16152
Genova, Italy
email: <mailto:alessandra.sciutti at iit.it> alessandra.sciutti at iit.it
website: <https://www.iit.it/people/alessandra-sciutti>
https://www.iit.it/people/alessandra-sciutti
ERC website: <https://www.whisperproject.eu/>
https://www.whisperproject.eu/
An intro on my research (Video, Eng): <https://youtu.be/LCkOjR_cvxI>
https://youtu.be/LCkOjR_cvxI
TEDx talk (Italian): <https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc>
https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc
Our book on Modeling Human Motion:
<https://www.springer.com/gp/book/9783030467319>
https://www.springer.com/gp/book/9783030467319
twitter: @alefreedot
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