2nd DiversityOne Open Challenge at Ubicomp 2026: Exploring People’s Everyday Life Behavior with Mobile Data

May 19th, 2026 Daniela Lopez de Luise
The 2nd DiversityOne Open Challenge: Exploring Diversity in People’s Everyday Life Behavior with Mobile Data

to be held at 

The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

Shanghai, China, October 11-12, 2026

Workshop website:  https://datascientiafoundation.github.io/diversityone-2026/  

The open challenge aims to explore the DiversityOne dataset, one of the larger and most geographically diverse datasets for everyday life behavior modeling. The dataset combines questionnaires about demographic and psychosocial variables from 18K participants, and passive smartphone sensor data and self-reported annotations from 782 students across eight universities in eight countries. The study followed ethical approval procedures in each of the participating institutions and is compliant with the European General Data Protection Regulation (GDPR). This dataset is a rich, flexible and valuable research resource that can be used to answer research questions in multiple fields: machine learning, mobile sensing, computational social science, behavioral recognition, and many others. This challenge offers the opportunity to work on the dataset and gain useful feedback on your research. We welcome contributions from researchers from diverse backgrounds and geographical provenances. In particular, we welcome contributions that address aspects including, but not limited to:

  • AI/ubiquitous computing/mobile sensing

  • data-centric AI

  • interactive machine learning

  • noisy annotation detection and correction

  • domain adaptation

  • transfer learning

  • activity and mood recognition

  • responsible and ethical AI

  • human daily mobility modeling and routine pattern discovery

  • spatio-temporal trajectory prediction

  • Computational social science

  • network analysis of social systems

  • sequence analysis of diary data

  • analysis of communities of practices

  • machine learning or rule-based analysis of social behavior

  • Designing with data

  • studies focusing on the design and documentation of the dataset collection

  • studies focusing on the design affordances of the dataset

  • data-centric design

  • user-centered design

Why join?

  • Explore a rich, large-scale dataset for research

  • Receive feedback for your work from an expert program committee 

  • A selection of the accepted papers will be invited to submit an extended version to IEEE Pervasive Computing.

Important dates

  • From now. Submit your short research proposal using the web form and request the datasets that you need to answer your research questions. Please specify that you are requesting the dataset to submit your work to the workshop. The full list of available datasets and documentation is accessible on the data catalog.

  • July 13, 2026: Abstract deadline.

  • July 15, 2026: Submission deadline

  • July 27, 2026: Author notification

  • July 31, 2026: Deadline for camera-ready version of workshop papers to be included in the ACM DL

  • (TBD) October 11 or 12, 2026: Full-day Workshop.

Important links

Submission platform: https://new.precisionconference.com/submissions 

Workshop website: https://datascientiafoundation.github.io/diversityone-2026/  

Dataset paper https://dl.acm.org/doi/10.1145/3712289

Data catalog https://datascientiafoundation.github.io/LivePeople-ws/datasets/ 

Dataset webpage https://datascientia.eu/projects/diversityone/

Paper submission

Short paper (max 4 pages, excluding references). The paper should report the motivation, methodology, results, future analyses and an ethical statement highlighting potential societal impacts. The submitted works should reflect on, analyze, or test the DiversityOne dataset.

Additional info:

Organizers

  • Andrea Bontempelli (University of Trento)

  • Özlem Durmaz Incel (University of Twente)

  • Baiyu (Breeze) Chen (University of New South Wales)

  • Matteo Busso (University of Trento)

  • Lakmal Meegahapola (Nokia Bell Labs)

  • Wanyi Zhang (Chongqing University)

  • Flora Salim (University of New South Wales)

  • Daniel Gatica-Perez (Idiap Research Institute & EPFL)

  • Fausto Giunchiglia (University of Trento)

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CFP S+SSPR 2026 (Deadline Extension)

May 19th, 2026 Daniela Lopez de Luise
Due to numerous requests, we have extended the paper submission deadline for S+SSPR 2026 to May 25, 2026. No further extension will be granted.
S+SSPR is a well-established forum bringing together researchers working on statistical, structural, and syntactic approaches to pattern recognition, as well as their applications. The workshop will take place shortly after ICPR 2026 and will be hosted by the University of Bern, Switzerland.

*Topics of Interest*
We invite submissions on **pattern recognition**, including statistical and structural approaches, as well as related applications.

*Submission Details*
– Papers must be original and not under review elsewhere
– Maximum length: 10 pages, LNCS format
– Submission via EasyChair
– All submissions will undergo peer review
– Accepted papers will be published in Springer LNCS, conditional on presentation

*Important Dates*
Paper submission: May 25, 2026
Notification: June 30, 2026
Camera-ready: July 15, 2026
Workshop: August 24–26, 2026

The workshop will feature keynote talks by Prof. Christopher Morris (RWTH Aachen University) and the 2026 Pierre Devijver Prize winner, Prof. Bernhard Schölkopf (Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen).

Bern, the capital of Switzerland, offers a unique blend of historic charm and vibrant academic life, with its UNESCO-listed old town and picturesque surroundings. Switzerland’s stunning landscapes, from the Alps to crystal-clear lakes, provide an inspiring setting for both scientific exchange and memorable experiences.

Further information and updates can be found at:
https://ssspr2026.inf.unibe.ch

Kind regards,
The S+SSPR 2026 Organising Committee

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ACM ICMI 2026 Call for Late-Breaking Results (LBR)

May 19th, 2026 Daniela Lopez de Luise
===============================================
5-9 October 2026, Napoli – Italy
https://icmi.acm.org/2026/
===============================================

Dear colleagues,

Please find below the Call for Papers for the Late-Breaking Results (LBR) track of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026).

Based on the success of the Late-Breaking Results (LBR) track, ICMI 2026 will continue soliciting submissions for this special venue. The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues.

* Online Submission
https://new.precisionconference.com/submissions/icmi26a

* Highlights
– Submission deadline: June 21st, 2026
– Notifications: July 15th, 2026
– Camera-ready deadline: August 2nd, 2026
– Conference Dates: October 6–8, 2026
– Submission format: Anonymized short paper (four-page paper in a double-column format, not including references), following the submission guidelines
– Selection process: Peer-Reviewed
– Presentation format: Participation in the conference poster session
– Proceedings: Included in the Adjunct Proceedings (Companion Volume) and ACM Digital Library
– LBR Co-chairs: Daniel Riccio and Hung-Hsuan Huang

* What are Late-Breaking Results?
Late-Breaking Results (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting-edge or emerging work that is still in exploratory stages, smaller-scale studies, or, in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track.

* Why submit to the Late-Breaking Results track at ICMI?
Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting, thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field.
Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are significant revisions, as per the ACM and ACM SIGCHI policies. LBR papers will be published as ACM extended abstracts in the Adjunct Proceedings. Under ACM Open, extended abstract article types are not subject to Article Processing Charges (APCs).

* Submission Guidelines
Extended Abstract
An anonymized short paper, four-page paper in a double-column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference. The paper should be submitted in PDF format and through the ICMI submission system in the “Late-Breaking Results” track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version, and no deadline extensions can be granted.

Anonymization
Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR relative to prior work, authors should not remove or anonymize references to their own prior work. Instead, authors should refer to their own prior work in the third person during submission. After acceptance, such references can be changed to first person if desired.

* Review Process
LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work, which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors, including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it fits the LBR track, for example, in-progress results. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring measurable breakthroughs compared to the state of the art.

* Attendance
Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be made available later on the conference website.

* Website
For updates, please visit: https://icmi.acm.org/2026/late-breaking-results/

* Contact
For further questions, contact the LBR co-chairs, Daniel Riccio and Hung-Hsuan Huang, at:
icmi2026-latebreaking-chairs@acm.org

Best regards,
ICMI 2026 LBR Chairs
Daniel Riccio and Hung-Hsuan Huang

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Call for Demos – 9th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2026)

May 19th, 2026 Daniela Lopez de Luise
The 9th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2026)
Call for Demo Papers
Important Dates:
●     Demo submission: May 31, 2026 (AoE)
●     Notification of acceptance: June 12, 2026 (AoE)
●     Camera-ready deadline: June 19, 2026 (AoE)
The IEEE MIPR 2026 organizing committee invites proposals for technical demonstrations to be presented in conjunction with the conference. 
Technical demonstrations will show cutting-edge work in any area of multimedia information retrieval. 
Demonstrations offer the opportunity to present and receive feedback on live working systems in an informal setting. 
Submissions are particularly encouraged in the following areas, with emphasis on multimedia information retrieval, but not limited to:
Generative and Foundation Models in Multimedia
•      AI-generated media
•      Diffusion and LLM-based generation
•      Multimodal and vision-language models
•      Detection, alignment, and safety
•      Large multimodal models and agents
Trustworthy AI in Multimedia
•     AI Reliability for Multimedia Applications and Systems
•     AI Fairness for Multimedia Applications and Systems
•     AI Robustness for Multimedia Applications and Systems
•     Attack and Defense for Multimedia Applications and Systems
Video/Audio in Multimedia
•     Speech/Voice Synthesis
•     Conversation Analysis
•     Speaker and Language Identification
•     Audio Signal Analysis
•     Spoken Language Generation
•     Automatic Speech Recognition
•     Spoken Dialogue and Conversational AI Systems
Vision and Content Understanding
•     Virtual/Augmented/Mixed Reality
•     Object Detection and Tracking
•     3D Modeling, Reconstruction, and Interactive Applications
•     Multimodal/Multisensor Interfaces, Integration, and Analysis
•     Effective and Scalable Solution for Big Data
•     Complex Event Processing
Multimedia Retrieval
•     Search and Recommendation
•     Web-Scale Retrieval
•     Relevance Feedback, Active/Transfer Learning
•     3D and Sensor Data Retrieval
•     Multimodal Media (Images, Videos, Texts, Graph/Relationship) Retrieval
•     High-Level Semantic Multimedia Features
Machine/Deep Learning/Data Mining
•     Deep Learning
•     Multimodal Fusion
•     Feature Learning
•     Spatio-Temporal Data Mining
•     Novel Dataset for Learning and Multimedia
Multimedia Systems and Infrastructures
•     Multimedia Systems and Middleware
•     Data Analytics Infrastructure
•     Distributed Systems and Cloud Computing
Networking in Multimedia
•     Internet Scale System Design
•     Information Coding for Content Delivery
Data Management
•     Multimedia Data Collection, Modeling, Indexing, or Storage
•     Data Integrity, Security, Protection, Privacy
•     Standards and Policies for Data Management
Novel Applications
•     Health and Sports
•     Culture and Education
•     Fashion and Living
•     Security and Safety
•     Tourism
Internet of Multimedia Things
•     Real-Time Data Processing
•     Autonomous Systems (Driverless Cars, Robots, Drones, etc.)
•     Mobile and Wearable Multimedia
User Experience and Engagement
•     Quality of Experience
•     User Engagement
•     Emotional and Social Signals
A demo submission should present a working system, prototype, or interactive platform. Submissions may describe:
●     System architecture and key components
●     Novelty and technical contribution
●     Demonstration scenario (what attendees will see)
●     Relevance to multimedia information retrieval
The official language of IEEE MIPR 2026 is English. For technical demonstrations, authors should submit the following materials following the submission guidelines provided on the IEEE MIPR 2026 webpage:
●     A 4-page manuscript in double-column IEEE format, including the authors' names and affiliations (excluding references).
●     A demonstration video (3-5 minutes) should present the working system, including user interaction and outputs. Slide-only videos are discouraged.
Please upload the manuscript and the video files to the paper submission system. Only electronic submissions will be accepted. All technical demonstration papers should be in Adobe Portable Document Format (PDF). The Conference Proceedings will be published by the IEEE Computer Society Press and available for online access via IEEEXplore. All submissions will be peer-reviewed to ensure quality.
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📣 Call for papers: 12th International Artificial Intelligence Symposium – AIS 2026, 21-24 September, Riva del Sole Resort & SPA @ Tuscany * ⏰ Submission Deadline: May 23 *

May 19th, 2026 Daniela Lopez de Luise
The 12th International Artificial Intelligence Symposium – AIS 2026, 🗓 21-24 September,  Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy

🔗 https://ais2026.icas.events
ais@icas.cc

SATELLITE EVENT:
🎓 4th International Meeting on Foundation Models – IMFM2026
🔗 https://ais2026.icas.events/imfm2026/

📌 PAPERS SUBMISSION:
All papers must be submitted using EasyChair:
🔗 https://easychair.org/conferences/?conf=ais20260
* ⏰ Paper Submission deadline: May 23 (AoE) *

CALL FOR PAPERS:
🔗 https://ais2026.icas.events/call-for-papers/

Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template.  Papers must be submitted in PDF.

📚 TYPES OF SUBMISSIONS:
When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers:

* Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

* work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

KEYNOTE SPEAKERS:
As in previous editions, the conference will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), fostering a unique and stimulating environment for interdisciplinary exchange.

This co-location is intended to strengthen the interaction between researchers, practitioners, and students, promoting the cross-fertilization of ideas and the development of new collaborations within the artificial intelligence community.

All conference participants will have full access to IAISS 2026 activities, including IAISS 2026 keynote lectures delivered by leading experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking.

IAISS 2026 Lecturers

Stefano V. Albrecht, Nanyang Technological University, Singapore

Mikhail Belkin, University of California San Diego, USA

Giuseppe De Giacomo, University of Oxford, UK

Jamie Hayes, Google DeepMind, UK

Sumi Helal, University of Bologna, Italy

Marine Le Morvan, INRIA Saclay, France

Bruno Lepri, FBK, Italy

George Paliouras, National Center for Scientific Research “Demokritos”, Athens, Greece

Panos Pardalos, University of Florida, USA

More Lecturers TBA

PAST KEYNOTE SPEAKERS:
https://ais2026.icas.events/past-keynote-speakers/

AIS Leonardo Fibonacci BEST PAPER AWARD:
https://ais2026.icas.events/best-paper-award/

PROGRAM COMMITTEE:
https://ais2026.icas.events/program-committee/

VENUE:
https://ais2026.icas.events/venue/

The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany

AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.

Riva del Sole Resort & SPA
a: Località Riva del Sole – Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany – Italy
p: +39-0564-928111
f: +39-0564-935607
e: booking.events@rivadelsole.it
w: www.rivadelsole.it/en

ACTIVITIES:
https://ais2026.icas.events/activities/

Submit your research work today!
https://easychair.org/conferences/?conf=ais20260

See you in the beautiful Tuscany in September!

Best regards,
     AIS 2026 Organizing Committee.

https://ais2026.icas.events
ais@icas.cc

Past Editions:
https://ais2026.icas.events/past-editions/

https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/19150026/

AIS 2026 Poster:
https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png

Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *

9th Advanced Course on Data Science & Machine Learning – ACDL 2026, 8-12 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy
Early Registration: by May 15, 2026 (AoE)

The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
ICAS – The Interdisciplinary Centre of Advanced Studies
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