- Dagstuhl Materials Page (Use personal credentials as created in DOOR to log in)
- Perspectives on Large Language Models for Relevance Judgment - Faggioli, Guglielmo; Dietz, Laura; Clarke, Charles L. A.; Demartini, Gianluca; Hagen, Matthias; Wachsmuth, Henning; Stein, Benno M.; Potthast, Martin; Kanoulas, Evangelos; Kando, Noriko; Hauff, Claudia - Cornell University : arXiv.org, 2023. - 23 pp..
- Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education - Bauer, Christine; Carterette, Ben; Ferro, Nicola; Fuhr, Norbert - New York : ACM, 2023. - 28 pp..
This Dagstuhl Seminar will address technology-enhanced information access (information retrieval, recommender systems, etc.) and specifically focus on developing more responsible experimental practices leading to more valid results, both for research as well as scientific education.
Information access has a long tradition of relying heavily on experimental evaluation dating back to the mid 1950s, this tradition has driven the research and evolution of the field. However, nowadays, research and development of information access systems are confronted with new challenges: information access systems are called to support a much wider set of user tasks (informational, educational, entertainment, just to name a few) which are increasingly challenging, and as a result, research settings and available opportunities have evolved substantially (e.g., better platforms, richer data, but also developments within the scientific culture) and shape the way in which we do research and experimentation. Consequently, it is critical that the next generation of scientists is equipped with a portfolio of evaluation methods that reflect the field’s challenges and opportunities, and help ensure internal validity (e.g., how many measures, statistical analyses, effect sizes, etc., to support establishing a trustworthy cause-effect relationship between treatments and outcomes), construct validity (e.g., measuring the right thing rather than a partial proxy), and external validity (e.g., critically assessing to which extent results hold in other situations, domains, and user groups). A robust portfolio of such methods will contribute to developing more responsible experimental practices.
Therefore, we face two problems: Can we re-innovate how we do research and experimentation in the field by addressing emerging challenges in experimental processes to develop the next generation of information access systems? How can a new paradigm of experimentation be leveraged to improve education to give an adequate basis to the new generation of researchers and developers?
To cope with these problems, in this Dagstuhl Seminar we aim at addressing specifically the following questions – among others:
- Which experimentation methodologies are most promising to further develop and create a culture around?
- In which ways can we consider the concerns related to FAccT (Fairness, Accountability, and Transparency) in the experimentation practices? How can we establish FaccT-E, i.e. FaccT in Experimentation?
- How can industry and academia better work together on experimentation?
- How can critical experimentation methods and skills be taught and developed in academic teaching?
- How can we foster collaboration and run shared infrastructures enabling collaborative and joint experimentation? How to organize shared evaluation activities taking the opportunity of new hybrid forms of participation?
- Christine Bauer (Utrecht University, NL)
- Joeran Beel (Universität Siegen, DE)
- Timo Breuer (TH Köln, DE) [dblp]
- Charles Clarke (University of Waterloo, CA) [dblp]
- Anita Crescenzi (University of North Carolina - Chapel Hill, US)
- Gianluca Demartini (The University of Queensland - Brisbane, AU) [dblp]
- Giorgio Maria Di Nunzio (University of Padova, IT) [dblp]
- Laura Dietz (University of New Hampshire - Durham, US) [dblp]
- Guglielmo Faggioli (University of Padova, IT)
- Nicola Ferro (University of Padova, IT) [dblp]
- Bruce Ferwerda (Jönköping University, SE) [dblp]
- Maik Fröbe (Friedrich-Schiller-Universität Jena, DE)
- Norbert Fuhr (Universität Duisburg-Essen, DE) [dblp]
- Matthias Hagen (Friedrich-Schiller-Universität Jena, DE) [dblp]
- Allan Hanbury (TU Wien, AT)
- Claudia Hauff (Spotify - Amsterdam, NL) [dblp]
- Dietmar Jannach (Alpen-Adria-Universität Klagenfurt, AT) [dblp]
- Noriko Kando (National Institute of Informatics - Tokyo, JP) [dblp]
- Evangelos Kanoulas (University of Amsterdam, NL) [dblp]
- Bart Knijnenburg (Clemson University, US) [dblp]
- Udo Kruschwitz (Universität Regensburg, DE)
- Birger Larsen (Aalborg University Copenhagen, DK) [dblp]
- Meijie Li (Universität Duisburg-Essen, DE)
- Maria Maistro (University of Copenhagen, DK) [dblp]
- Lien Michiels (University of Antwerp, BE)
- Andrea Papenmeier (Universität Duisburg-Essen, DE) [dblp]
- Martin Potthast (Universität Leipzig, DE) [dblp]
- Paolo Rosso (Technical University of Valencia, ES) [dblp]
- Alan Said (University of Gothenburg, SE) [dblp]
- Philipp Schaer (TH Köln, DE) [dblp]
- Christin Seifert (Universität Duisburg-Essen, DE)
- Ian Soboroff (NIST - Gaithersburg, US) [dblp]
- Damiano Spina (RMIT University - Melbourne, AU)
- Benno Stein (Bauhaus-Universität Weimar, DE) [dblp]
- Nava Tintarev (Maastricht University, NL) [dblp]
- Julián Urbano (TU Delft, NL) [dblp]
- Henning Wachsmuth (Universität Paderborn, DE) [dblp]
- Martijn Willemsen (Eindhoven University of Technology & JADS - ‘s-Hertogenbosch- Eindhoven) [dblp]
- Justin Zobel (The University of Melbourne, AU) [dblp]
- Artificial Intelligence
- Information Retrieval
- Information Access Systems
- User Interaction