5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)
February 24th, 2026 
Daniela Lopez de Luise 5th ACM International Workshop on Multimedia AI against Disinformation (MAD’26)
ACM International Conference on Multimedia Retrieval ICMR'26 Amsterdam, Netherlands, June 16 – 19, 2026
https://www.mad2026.aimultimedialab.ro/
https://easychair.org/my/conference?conf=mad2026
Topics of interest include but are not limited to:
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Disinformation detection in multimedia content (e.g., video, audio, texts, images)
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Multimodal verification methods
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Synthetic and manipulated media detection
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Multimedia forensics
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Multimodal fusion approaches for disinformation detection
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Disinformation spread and effects on social media
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Analysis of disinformation campaigns in societally-sensitive domains
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Robustness of media verification against adversarial attacks and real-world complexities
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Fairness and non-discrimination of disinformation detection in multimedia content
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Explaining disinformation detection results to non-expert users
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Temporal and cultural aspects of disinformation
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Dataset sharing and governance in AI for disinformation
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Datasets for disinformation detection and multimedia verification
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Open resources, e.g., datasets, software tools
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Large Language Models for analysing and mitigating disinformation campaigns
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Large Multimodal Models for media verification
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Multimedia verification systems and applications
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Benchmarking and evaluation frameworks
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Emerging threats due to wide adoption of LLMs, e.g. hallucinations, grooming, etc.
Call for Challenges — AVSS 2026
February 24th, 2026 Daniela Lopez de Luise 📣 Call for Challenges — AVSS 2026
The 22th International Conference on Advanced Visual and Signal-Based Systems (AVSS 2026) (Lecce – Italy, 1-2 September 2026) invites proposals for Challenges to be held in conjunction with the main conference.
Challenges are what make a conference truly come alive, adding energy, excitement, and plenty of conversation throughout the conference. They turn great ideas into real-world tests, where methods are compared, results are shared, and progress happens together.
By working on shared datasets with clear tasks and evaluation rules, challenges support reproducible research, fair benchmarking, and hands-on experimentation. They also bring academia, industry, and public institutions to the same table—collaborating on concrete problems inspired by real needs.
AVSS 2026 is looking for bold and engaging challenges that showcase cutting-edge research while tackling important surveillance, safety, and security topics. Help us make AVSS 2026 more dynamic, interactive, and fun than ever!
👉 Got an idea? Let’s challenge the community!
🎯 Scope and Topics of Interest
We welcome challenge proposals aligned with (but not limited to) the following AVSS 2026 themes:
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Image and Video Analytics
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Model Security, Privacy, Fairness, and Robustness
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Multimodal Sensor Fusion and AI-driven Situational Awareness
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IoT and Signal Analytics
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Environmental and Ecological Surveillance
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Systems and Applications
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Medical Imaging for Safety, Monitoring, and Security
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Healthcare and Assisted Living Environments
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Smart Cities and Infrastructure Monitoring
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Retail Analytics
🌟 Why Challenges Matter at AVSS
Challenges are more than competitions — they are engines of community building and scientific progress:
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🔬 Promote reproducibility through shared datasets and evaluation protocols
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⚖️ Enable fair and transparent comparison of methods
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🚀 Accelerate innovation by focusing efforts on well-defined, impactful problems
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🤝 Bridge academia and industry, often leveraging real-world data and constraints
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🎓 Engage students and early-career researchers, making AVSS more inclusive and dynamic
By hosting challenges, AVSS 2026 aims to energize the conference, attract broader participation, and stimulate meaningful discussions that extend well beyond the event itself.
📄 Challenge Proposal Guidelines
Challenge proposals should include:
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Title and short description of the challenge
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Motivation and relevance to AVSS topics and community
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Task definition and expected outcomes
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Dataset description (existing or to be released, including access conditions)
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Evaluation protocol and metrics
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Organizing team (with brief bios and affiliations)
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Planned format (online phase, leaderboard, workshop session, etc.)
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Expected number of participants and outreach plan
🗓 Important Dates and Submission
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Challenge proposal submission deadline: 15/02/2025
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Notification of acceptance: 28/02/2025
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Challenge launch: 04/03/2025
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Final results & presentations at AVSS 2026
Challenge proposals should be submitted via email at challenges@avss2026.org
📬 Contact
For inquiries, please contact the AVSS 2026 Challenge Chairs at: challenges@avss2026.org
Multimodal Generative AI in Healthcare at the International Conference on AI in Healthcare 206, London, UK
February 24th, 2026 Daniela Lopez de Luise - 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.
CFA-4th Conference on Machine Learning for Earth Observation (ML4EO)
February 24th, 2026 Daniela Lopez de Luise 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
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 by 1st 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