Call for Papers
IRCDL 2026
22nd Conference on Information and Research Science
Connecting to Digital and Library Science
Modena, Italy
February 19-20, 2026
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Apologies for multiple posting
Please distribute this call to interested parties
AIMS AND SCOPE
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Since 2005, the Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL) has been an annual event for researchers on Digital Libraries and related topics. IRCDL has become a key forum on digital libraries and associated issues. It covers various aspects, including new forms of information institutions, digital content management, and theoretical models of information media. The conference welcomes participants from academia, government, industry, and other sectors. It draws from diverse research areas such as computer science, digital humanities, information science, librarianship, archival science, museum studies, technology, social sciences, cultural heritage, and humanities.
IRCDL 2026 features two distinct tracks, each with an associated special issue:
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Track 1: Computer Science Foundations for Digital Libraries: Algorithms, Systems, and Applications
This track examines core computer science concepts essential for digital libraries. It covers algorithms for information retrieval and data management, system architectures for large-scale digital collections, and practical applications in areas such as academic research and cultural heritage preservation.
Special Issue: published in International Journal on Digital Libraries
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Track 2: Digital Humanities: The Science and Foundation of Modern Humanities Libraries
This track explores the intersection of digital technologies and humanities research. It examines computational methods for analyzing and preserving cultural artifacts, text mining techniques for large-scale literary analysis, and digital platforms for collaborative scholarship.
Special Issue: published in Umanistica Digitale
TOPICS
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Submissions are welcome on theory, architectures, data models, tools, services, and infrastructures. Possible topics include, but are not limited to:
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Open data
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Open science: models, practices, mandates, and policies
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Information retrieval and access
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Information extraction from tables and figures in scientific literature
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Machine learning and data mining for digital libraries
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Generative AI and foundation models for digital libraries
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Responsible and ethical AI in digital libraries
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Ontologies
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Knowledge discovery, representation, and reasoning in digital libraries
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Knowledge acquisition from scientific papers
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Document analysis (layout, text, images)
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Services for digital arts and humanities
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Cultural heritage access and analysis
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Metadata (definition, management, curation, integration)
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Digital manuscript analysis
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Data repositories and archives
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Data citation, provenance and pricing
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Data and information lifecycle (creation, store, share and reuse)
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Semantic web technologies and linked data for digital libraries
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Digital epigraphy
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Digital preservation and curation
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Quality and evaluation of digital libraries
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Digital scholarship
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Citation analysis and scientometrics
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Research infrastructures
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User participation
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Human-computer interaction and user experience
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Multimodal and multimedia information management
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Applications of digital libraries
IMPORTANT DATES
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Submission deadline: November 28, 2025
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Notifications of acceptance: January 23, 2026
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Camera-ready deadline: February 6, 2026
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Conference: February 19-20, 2026
SUBMISSION GUIDELINES
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All submissions will be handled electronically via the conference CMT website:
https://cmt3.research.microsoft.com/IRCDL2026
Research papers, describing original ideas on the listed topics and on other fundamental aspects of digital libraries and technology, are solicited. Moreover, short papers on early research results, new results on previously published works, and extended abstract on previously published works are also welcome:
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Research papers: should be in the 10-12 pages range.
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Short papers: should be in the 6-7 pages range.
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Extended abstracts: should be 5 pages long.
For all the submission types, references are not counted in the page limit.
The accepted papers will be part of the IRCDL 2026 Proceedings, published by CEUR-WS.
ORGANIZERS
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General Chairs:
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Lorenzo Baraldi (University of Modena and Reggio Emilia)
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Marcella Cornia (University of Modena and Reggio Emilia)
Program Chairs:
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Fabio Carrara (ISTI-CNR)
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Vittorio Cuculo (University of Modena and Reggio Emilia)
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Marilena Daquino (University of Bologna)
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Stefano Marchesin (University of Padua)
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Marina Paolanti (University of Macerata)
Publication Chair:
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Sara Sarto (University of Modena and Reggio Emilia)
Publicity Chairs:
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Emanuele Balloni (Università Politecnica delle Marche)
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Davide Caffagni (University of Modena and Reggio Emilia)
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Beatrice Portelli (University of Udine)
Local Organization Chairs:
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Davide Bucciarelli (University of Modena and Reggio Emilia & University of Pisa)
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Evelyn Turri (University of Modena and Reggio Emilia)
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Leonardo Zini (University of Modena and Reggio Emilia)
Special Issue Chairs:
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Gianmaria Silvello (University of Padua)
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Giorgio Maria Di Nunzio (University of Padua)
WACV 2026 SKITB VISUAL TRACKING CHALLENGE at 4th WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS
November 18th, 2025
Daniela Lopez de Luise at the 4th Workshop on Computer Vision for Winter Sports (CV4WS)
https://sites.google.com/unitn.it/cv4ws-wacv2026
in conjunction with
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026
(https://wacv2026.thecvf.com/)
CHALLENGE WEBSITE
https://codalab.lisn.upsaclay.fr/competitions/20897
OVERVIEW
We are excited to announce a new edition of the SkiTB Visual Tracking Challenge, part of the CV4WS workshop at WACV 2026. This challenge focuses on tracking skiers' performances across multiple camera views in complex, real-world winter sports environments. Participants will design trackers capable of following a skier throughout a performance, starting with the bounding box in the first frame and localizing the skier in all subsequent frames.
The challenge leverages the SkiTB dataset, featuring: 300 multi-camera professional skiing videos; 352,978 annotated frames; Full HD videos in dynamic, snowy outdoor environments. This dataset offers a unique opportunity to test tracking models on complex scenarios typical of winter sports.
The authors of the best perfoming methods will be invited to write a paper that describes the solution (max 8 pages + references in the WACV template), and to present their solution at the 4th Workshop on Computer Vision for Winter Sports at WACV 2026. The papers of the top submitters will be reviewed and, if accepted, will appear into the WACV 2026 workshop proceedings.
IMPORTANT DATES
November 17, 2025: challenge open
December 10, 2025: submission due
December 22, 2025: paper with solution's description due
Workshop date:
March 6 or 7, 2026
PARTICIPATION
Detailed instructions on how to participate are available on the challenge page:
https://codalab.lisn.upsaclay.fr/competitions/20897
We encourage researchers and practitioners in computer vision to participate in this exciting challenge. Selected teams will be invited to present their solutions at the workshop, with opportunities for further publication in a special journal issue.
We look forward to your submissions!
ORGANIZERS
Dr. Niccolò Bisagno, University of Trento, Italy
Dr. Matteo Dunnhofer, University of Udine, Italy
Dr. Katja Ludwig, University of Augsburg, Germany
Prof. Rainer Lienhart, University of Augsburg, Germany
Prof. Hideki Koike, Tokyo Institute of Technology, Japan
Prof. Christian Micheloni, University of Udine, Italy
Prof. Nicola Conci, University of Trento, Italy
CoNEXT 2026 Call for papers
November 18th, 2025
Daniela Lopez de Luise You are invited to submit your high-quality work to the upcoming ACM CoNEXT 2026.
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December 7-11, 2026 – Utrecht, The Netherlands
Conference website: https://conferences.sigcomm.org/co-next/2026/#!/home
Full CFP: https://conferences.sigcomm.org/co-next/2026/#!/cfp
Submission Guidelines: https://conferences.sigcomm.org/co-next/2026/#!/submission
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Call for Applications: Visiting Professor Position in Machine Learning at Federal University of ABC, Brazil
November 14th, 2025
Daniela Lopez de Luise Founded in 2006, UFABC is built on an interdisciplinary pedagogical model. Undergraduate students are initially admitted into Interdisciplinary Bachelor’s Degrees, such as Science and Technology, allowing them to explore different fields before specializing in a specific program, such as Computer Science or Data Science.
Despite being a young institution, UFABC has gained significant recognition and good performance at university rankings:
- THE WUR 2020: #13 in Brazil
- THE Innovation 2019 #1 in Brazil
- THE Latin America 2019: #41 and #23 in Brazil
- CWUR 2019: #29 in Brazil, #958 worldwide
- U.S. News 2019: #10 Brazil; #8 World in international collaboration
- RUF (Brazilian ranking) from 2013 to 2017: #1 in internationalization
(Source: https://www.ufabc.edu.br/en/)
INVITACIÓN: Seminario de Desarrollo Científico-Tecnológico IERA 2025
November 13th, 2025
Daniela Lopez de Luise
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