SCOLIA 2026

SCOLIA 2026, the Second International Workshop on Scholarly Information Access, will take place at ECIR 2026 in Delft, The Netherlands. The aim of the SCOLIA (SChOLarly Information Access) workshop, following the successful BIR workshop series and SCOLIA 2025, is to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents. The workshop has a broader scope than the previous BIR workshop series. Bibliometrics and Scientometrics are concerned with all quantitative aspects of information and academic literature, which naturally make them interesting for IR research, in particular when it comes to academic search, recommendation, and other domains in which citations play a central role, for example, legal and patent retrieval. 

As a successor of the Bibliometric-enhanced IR (BIR) workshop series at ECIR the SCOLIA workshop recognises the growing importance of fields such as generative AI and NLP for both the Scientometrics and the IR communities. While maintaining the original focus on intersecting the fields of IR with Scientometrics/Bibliometrics, we open the discussion to invite works utilising advanced NLP and AI technologies for academic information access. 

Important Dates

All dates are in Anywhere on Earth – AoE Time Zone

• Workshop: 2nd April 2026 

tl;dr

The SCOLIA (SChOLarly Information Access) workshop aims to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents. The SCOLIA workshop at ECIR is a half-day workshop.

Keywords

Academic Information Access • Information Retrieval • Recommendation • Conversational Interfaces • Digital Libraries • Bibliometrics • Scientometrics • Natural Language Processing

Topics

SCOLIA addresses current research issues regarding the broad scope of scholarly information access in the age of retrieval-augmented generation (RAG) and GenAI. Submissions should discuss, but are not limited to, the following topics 

• Construction of scholarly information access systems for tasks such as search, recommendation, or conversational information access, e.g., 

  • Chatting with papers via chatbots

  • Bibliometric-enhanced IR

  • Finding relevant papers/authors for a literature review

  • Identifying expert reviewers for a given submission

  • Information extraction, text mining and parsing of scholarly literature

  • Recommendation of citations based on the context

  • Discourse modelling and argument mining

  • Retrieval-augmented Generation for LLM-enhanced academic search and recommendation

  • Challenges and opportunities for scholarly information access coming from GenAI and LLMs.
    
    

• Evaluation of scholarly information access systems, e.g., 

  • Quantification of the suitability of the output produced by an LLM

  • Evaluation challenges of generative AI and LLMs for scholarly texts and references

  • Simulated users.

• User Models and Collections, e.g.,

  • Understanding information-seeking behaviour and HCI in academic search

  • Modelling the multifaceted nature of scientific information interaction

  • Building test collections.

•   Pre- and Post-Publication Quality Insurance and Scientific Integrity, e.g., 

  • Filtering high-quality research papers, e.g., in preprint servers

  • Tracking and taming error propagation in the scientific record or scientific misbehaviour

  • Detecting "Fake Science", low quality or automatically generated papers

  • Measuring the degree of plagiarism in a paper

  •  Flagging predatory conferences and journals.

We especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome.

Organisers

• Ingo Frommholz,  Modul University Vienna, Austria

• Christin Kreutz, TH Mittelhessen - University of Applied Sciences & Herder Institute for Historical Research on East Central Europe, Germany

• Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany

• Guillaume Cabanac, University of Toulouse & Institut Universitaire de France, France