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/

15–18 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 systems—both 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 (1–2 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

- human–human and human–system 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 (1–2 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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