Multimodal Generative AI in Healthcare at the International Conference on AI in Healthcare 206, London, UK

We are inviting paper submission to our special session on MULTIMODAL GENERATIVE AI IN HEALTHCARE at the International Conference on AI in Healthcare, which will be held in Imperial College London, UK, on 26-29 August, 2026. We invite both full paper and abstract submissions. 
 
Full papers format: Full length papers (12 pages plus to 2 pages of references) in the Springer template.
Abstract format: 5 pages maximum including references. 
 
Please note: 
  • Special session long papers are eligible for the Best Paper Award (sponsored by Springer). 
  • Full papers will be automatically included in the conference proceedings, published by Springer. Best Paper and runners-up will be invited to submit extended versions (50% new materials) to the journal of Big Data Mining and Analytics (Impact factor 6.2). The conference also has an agreement with the journal CAAI Artificial Intelligence Research (Tsinghua University Press) to publish a special issue. High quality special session full papers are also eligible for this.
  • Abstracts (up to 5 pages including references) will be published and archived on the AIiH conference as well as Zenodo website with DOIs.
 
How to submit? The submission is via the CMT portal. When submitting, please make sure you select our track:  Multimodal Generative AI 
Submission deadline: 10 April 2026
 
Best regards
Co-chairs
Hazrat Ali, University of Stirling, UK
Chen Chen University of Sheffield, UK
Syed Ahmar Shah, University of Edinburgh, UK

CFA-4th Conference on Machine Learning for Earth Observation (ML4EO)

We are pleased to announce that the Abstract Submission & Registration for the Machine Learning for Earth Observation (ML4EO) conference 2026 is now open!  

 

Click for Abstract Submission Guidance 

Click to Submit your Abstract 

Click to Register 

 

 

This three-day conference will be held at the University of Exeter (Streatham Campus) from Monday the 22nd of June – Wednesday 24th of June 2026.  

 

Submit your abstract by 31 of March 2026 to contribute to the Machine Learning for Earth Observation (ML4EO) Conference. Notification of acceptance will be sent by1st May 2026. 

 

We welcome submissions for both oral and poster presentations, covering topics in AI techniques for Earth observation, remote sensing and environmental monitoring. This broad scope reflects the rapid transformation of the field: advances in remote sensing have created an era of data abundance, opening up vast economic, environmental, and social opportunities. At the same time, AI/ML introduces new challenges that require collaboration across disciplines. The conference is sponsored by EUMETSAT with contributions from IBM/STFC, PML/NEODAAS, OpenGeoHub etc.

 

For further details and submission guidelines: https://ml4eo.org/call-for-abstracts/  


Don’t miss your chance to contribute to the conversation! 


Best Regards

ML4EO Organising Committee 

University of Exeter, Streatham Campus, EX4 4PY, United Kingdom  
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ml4eo.org

 

 

 

2nd call for contributions to the PhD Forum of the 24th International Symposium on Intelligent Data Analysis (IDA)

IDA 2026 PhD Forum

Call for papers
Leiden (Netherlands) April 22-24, 2026 (Wednesday – Friday)

https://ida2026.liacs.nl/

IDA is organizing the 2026 edition of the PhD Forum, aimed at PhD students.

This mentoring program aims to connect PhD students with senior scientists who share their experience to help advance the students’ research and academic careers. Meetings will be arranged during the conference to allow discussion between the students and mentors.

Objectives

The objectives of the PhD Forum are:

  • to provide doctoral researchers with the opportunity to present their ongoing work and receive constructive feedback from experienced researchers (e.g., IDA Senior Program Committee members),

  • to facilitate the establishment of contacts with research teams working in related areas,

  • to provide insights into current research trends related to the students' research topics, thereby expanding the scope of their knowledge.

Submission

The PhD Forum welcomes original research in the field of Intelligent Data Analysis conducted by early-career researchers. Papers will be evaluated based on their relevance to the conference themes and the ability of the student to present:

  • the research problem and why it is important to address it,

  • the research objectives and questions,

  • the planned approach and methods to tackle the problem,

  • an outline of the current state of knowledge on the research problem,

  • the expected outcomes of the research, such as overviews, algorithms, improved understanding of a concept, a pilot study, a model, or a system.

Short papers (2 pages, including references) must follow the general template provided by the IDA conference (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

Submissions will be handled through CMT:  https://cmt3.research.microsoft.com/IDA2026/

(Authors are requested to ensure that they select the IDA2026-PhDTrack).

The authors of accepted presentations will be required to prepare a poster and a presentation. The poster will serve as a basis for discussions during the conference, while the presentation will be used in the mentorship program. Authors of accepted presentations must register in order to participate in the mentorship program. All presentations and interactions will take place in person.

Reduced registration fees are available for students:

Early registration (Deadline: March 16): 249.00 € / Late registration: 399.00 €

The registration fees include:

  • All sessions

  • Coffee breaks

  • Lunches

  • Social events: opening reception, traditional social event.

Important dates

  • Two-page paper submission deadline: February 23, 2026 AOE (Monday)

  • Notification to authors: March 2, 2026 (Monday)

  • Registration (for accepted submissions): March 16, 2026 (Monday)

  • Conference dates:  April 22-24 2026

Contact

Christine Sinoquet – IDA 2026 PhD Forum Chair

Bracing for the Enshittification of Embodied AI and Robotics

Bracing for the Enshittification of Embodied AI and Robotics

New Keynote Speakers: Prof. Maja Matarić and Andra Keay!

Now Seeking Panel & Poster Submissions!

AAAI 2026 Spring Symposium: https://aaai.org/conference/spring-symposia/sss26 

Panels & Posters:

We are seeking presenters to serve on panels and give poster presentations. To express your interest in being a panelist or poster presenter, please fill out this Google Form by Wednesday, February 25, AoE (Anywhere on Earth). You will need to provide your contact information, the title of your poster or short panel talk, and an abstract. You do not need to be a paper author to present on a panel or at a poster session. Panels will start with short talks introducing the thoughts of each panelist then a longer Q&A session.

Interest Form: https://forms.gle/Dv92KcaLgQxk36Nb7 

Keynote Speakers:

  • Maja Matarić, Professor, University of Southern California

  • Andra Keay, Founder and Managing Director, Silicon Valley Robotics

Additional speakers will be announced closer to the date of the symposium.

Please find the full CFP below:

Overview:

In November 2022, Cory Doctorow coined the term “enshittification” to viscerally describe the process by which two-sided marketplaces (i.e., platforms that connect buyers and sellers)  have tended to degrade over the past decades, leading users on both sides of the market to experience a worse product. In its most basic form, enshittification describes the intentional decline of platform quality over time. Robots intended for home consumer use are often social in nature and use social interaction and relationship norms to keep users engaged. Turning such robots into two-sided market platforms, where users and advertisers both become targets of monetization, poses unique and significant risks. Unlike static smart or connected devices, social robots actively engage users via gaze, gesture, language, and dialog, which makes them uniquely persuasive forms of technology. This raises unique potential risks related to deception and manipulation of end-users. This symposium will not focus on enumerating potential negative outcomes; instead, we will use these examples to motivate and support methods that AI researchers in particular can use to address enshittification before it takes over the embodied AI and robotics fields.

Organizers:

  • Paul Robinette (UMass Lowell)

  • Alan Wagner (Penn State University)

  • Ross Mead (Semio)

  • Samantha Reig (UMass Lowell)

Topics:

Potential topics include but are not limited to: 

  • Case studies of dual-sided AI deployments

  • Privacy-aware AI

  • Ensuring trustworthy behavior of AI systems

  • AI Ethics/Responsible Computing

  • Discussion of societal impacts of robots that enshittify.

  • Consideration of the inequities caused by devices that advertise relentlessly.

  • Discussion of a research agenda to anticipate and prevent the enshittification of robots that provide services (e.g., in public, in homes).

  • Affective manipulation by consumer products and AI driven technologies

Format:

The symposium will combine invited talks, panels, lightning talks, poster sessions, discussion sessions, and working sessions. Attendance is open to all who are interested. At least one author of each accepted paper is expected to attend. 

Papers:

Submissions should be to https://easychair.org/conferences/?conf=sss26 by February 13, 2026. Papers should be 2–4 pages in length and use the two-column AAAI format. Selected papers will be asked to present as a lightning talk, panel discussion, and/or poster. Check the website for more information.

Paper Submission Deadline: Feb 13, 2026 (EXTENDED)

Paper Submission Site: https://easychair.org/conferences/?conf=sss26

More Information:

Please direct questions to enshittification2026aaai@gmail.com.

Symposium website: https://sites.google.com/view/bracing-for-enshittification

The Organizing Committee

* Paul Robinette (UMass Lowell)

* Alan Wagner (Penn State University)

* Ross Mead (Semio)

* Samantha Reig (UMass Lowell)

CFP – Federated Learning for Computer Vision (FedVision 2026) @ CVPR 2026

Call for Papers: The Fifth Workshop on Federated Learning for Computer Vision (FedVision 2026) @ CVPR 2026
Overview:
The growing shift from centralized clouds to edge devices is reshaping AI. Federated Learning (FL) enables large-scale, privacy-preserving intelligence at the edge, offering unique opportunities and challenges for computer vision—where data are rich in semantics and privacy-sensitive. Building on four successful editions at CVPR 2022–2025, FedVision-2026 expands its focus to foundation-model adaptation, personalized and efficient edge learning, and trustworthy visual intelligence. This workshop fosters collaboration across academia, industry, and open-source communities to define the next frontier of distributed visual learning.
Topics of Interest:
We welcome papers on, but not limited to:
  • Foundation-Model-Centric FL: Knowledge distillation, federated transfer learning, prompt tuning for vision–language models, and optimization for training/adapting foundation models in FL.
  • Algorithms and Systems: Device- and data-heterogeneous FL, communication and resource efficiency, privacy-preserving optimization, label-efficient/self-supervised learning, neural architecture search, lifelong/federated domain adaptation, model compression, gradient sparsification, and edge deployment.
  • Applications and Benchmarks: FL for scene understanding, face recognition, object detection, image segmentation, action recognition, medical imaging, novel datasets/benchmarks, and open-source FL frameworks (e.g., FedML, Flower, OpenFL).
  • Trust, Fairness & Security: Privacy leakage and defenses, model/data poisoning attacks and robust defenses, fairness, interpretability, machine unlearning, and ethical/societal implications of visual data federation.
Important Dates:
  • Paper Submission Deadline: March 7, 2026 (11:59 PM PST)
  • Notification: March 20, 2026 (11:59 PM PST)
  • Camera-Ready: April 6, 2026 (11:59 PM PST)
Accepted papers will be published in conjunction with CVPR 2026 proceedings and must follow the CVPR 2026 paper format.
Organizers:
  • Chen Chen, Associate Professor, Center for Research in Computer Vision, Institute of Artificial Intelligence, University of Central Florida, Orlando, FL, USA, chen.chen@crcv.ucf.edu (lead organizer)
  • Guangyu Sun, Ph.D. Candidate, Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA, guangyu@ucf.edu
  • Nathalie Baracaldo, Research Staff Member, IBM Almaden Research Center, San Jose, CA, USA, baracald@us.ibm.com
  • Victor Zhu, Sr. Manager of Research, Axon AI, USA, vzhu@axon.com
  • Nicholas Lane, Professor, University of Cambridge, Cambridge, UK, ndl32@cam.ac.uk
  • Yang Liu, Associate Professor, HK Polytechnic University, China, yang-veronica.liu@polyu.edu.hk
  • Mahdi Morafah, Postdoctoral Researcher, The Wharton School, University of Pennsylvania, USA, mmorafah@wharton.upenn.edu
  • Aritra Dutta, Assistant Professor, University of Central Florida, USA, aritra.dutta@ucf.edu
  • Zhishuai Guo, Assistant Professor, Northern Illinois University, USA, zguo@niu.edu
For any questions, please contact Dr. Chen Chen at chen.chen@ucf.edu.

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