20th Research Challenges in Information Science

Advancing Information Science and Information Systems Quality in the Era of Complexity

Toulouse, France, 26 - 29 May, 2026

Call for Doctoral Consortium
Scope and Topics

RCIS aims to bring together scientists, researchers, engineers and practitioners from Information Science in a wide sense. The RCIS 2026 Doctoral consortium aims to offer a supportive learning opportunity for PhD students in the early stage of their research on Information Science-related problems to discuss their work in progress and to receive feedback and guidance from the RCIS 2026 audience. A panel of senior researchers in the field of Information Science will serve as mentors during the Doctoral Consortium sessions.

Doctoral students that are somewhere in the middle of their research are invited to submit extended abstracts of their work and participate in the dedicated sessions. The topics eligible for extended abstract submissions include:

Information Systems and their Engineering
  • Requirements Engineering
  • Model-Driven Engineering
  • Domain Specific Languages
  • Method Engineering
  • Quality Assurance and Testing
  • Software Engineering
User-Oriented Approaches
  • Social Computing and Social Network Analysis
  • User-Centred Design
  • Collaborative Computing
  • Human Factors in Information Systems
  • Technology Acceptance
Data and Information Management
  • Databases and Information
  • Information Security and Risk Management
  • Conceptual Modelling and Ontologies
  • Knowledge Graphs
Enterprise Management and Engineering
  • Business Process Engineering and Management
  • Enterprise Architecture
  • Process Mining
  • Enterprise Modelling
  • Digital Transformation
  • Complexity Management
Domain-specific IS Engineering
  • E-Health, E-Government, and E-Commerce
  • Smart Cities, Industry 4.0 and Digital Twins
  • News and Media Production
  • Digital Humanities
  • Virtual Worlds
Data Science
  • Big Data and Business Analytics
  • Decision Information Systems
  • Machine-Learning and Generative AI Applications
  • Information and Value Management
  • Misinformation and Fake News
Information Infrastructures
  • Information Systems Quality of Service
  • Cyber-Physical Systems
  • Web Information Systems
  • Grid, Cloud, Fog, and Edge Computing
  • Internet of Things
  • Pervasive and Mobile Computing
  • Quantum Computing
Reflective Research and Practice
  • Information Systems Quality Evaluation Methods
  • Impact of Information on the Enterprise and the Individual
  • Information Science Education
  • Research Methodologies in Information Science
  • Design Science and Rationale
  • Action Research and Case Studies in Information Science
Author Guidelines

Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the following instructions. Please bear in mind that we are not prescribing a specific structure of sections; we just expect that you cover these topics in the paper. The maximum length of the paper should be 10 pages, including references, appendices, etc., and include the following:

  • Introduce the field of research and identify the significant problems in it.
  • Clearly formulate the research questions and objectives, justifying why they were chosen.
  • Outline the current knowledge of the problem domain, as well as the state of existing solutions.
  • Sketch the research methodology and empirical research instruments (e.g., interviews, case study, controlled experiment) that are being applied and justify their convenience (in particular, why they have been chosen among other possible alternatives).
  • Introduce the proposed solution of the problem and the results achieved so far; state in what aspects the suggested solution is different, newer or better as compared to the existing approaches,
  • Indicate the issues still to be resolved and describe the next steps that are planned including how the evaluation will be performed.
  • Provide a list of references.
  • Reflect how you plan to follow open science principles (e.g., availability of research data, replication of studies, …).

Keep in mind that for reviewers the most important is to understand the problem you are addressing, the motivation for it, the proposed solution, and the research methodology that you intend to apply.

Submissions must be single-author (PhD student only) and indicate the name of the supervisor after the conclusion and before the references section. Students should mention if they have presented their work in former Doctoral Consortiums in other conferences.

Submission Process

Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Authors of accepted submissions will submit the camera-ready version using the same format as the initial submission (some additional instructions might be issued at this stage). The reviewers' comments shall be taken into account in the camera-ready paper. Authors will receive information on the presentation and how to register for the conference. There will be a discounted registration fee for Doctoral Consortium students.

The accepted papers will be published in a Springer LNBIP volume as post-conference proceedings. This will give visibility to the work of the doctoral student and contribute to building their Curriculum Vitae.

The accepted papers will be published in a Springer LNBIP volume, along with the other papers accepted for RCIS 2026. This will give visibility to the work of the doctoral student and contribute to building their Curriculum Vitae.

By submitting a Doctoral Consortium paper, doctoral students commit that they will attend the conference to present their research. The appearance of a paper in the Springer proceedings is dependent on the registration of the author within the early registration deadline.

For inquiries, please contact the Doctoral Consortium chairs (Elsa Negre, elsa.negre@dauphine.fr, and Jose Luis de la Vara, joseluis.delavara@uclm.es).

The submission site is avaible via the link below :


Conference Submission Site EasyChair

On submission, you will be asked to select a track. Please choose the “Doctoral Consortium” track.

Review Process

The review and decision of acceptance will be based on the opinions of at least two reviewers. Several factors will be considered, including the quality of the proposal, the clarity of the paper, and the stage within the doctoral education program. The selection process will, when possible, maximize a good coverage of the topics of the conference and the diversity of participants' background, research objectives, and research methods. In case of high number of submissions, students who have not yet presented their work in other Doctoral Consortiums will be given priority.

Important Dates
Paper submission deadline: March 22nd, 2026
Notification to authors and registration opening: April 20th, 2026
Author registration deadline: April 30th, 2026
Camera-ready paper deadline: TBC
At the Conference

Students will present their work (oral presentations) to the participants with substantial time allowed for discussion and questions by participating researchers and other students. The discussion will be guided by two members of the committee of senior researchers acting as mentors, who will play the role of proposal discussant together with another PhD student that has been accepted at the Doctoral Consortium.

Each student will be invited to carefully read another accepted Doctoral Consortium paper and prepare a few questions to be discussed during the Doctoral Consortium sessions. The papers will be assigned in advance such that the students will have sufficient time to review the paper and prepare their questions.

The consortium sessions will have an informal and friendly atmosphere where every participant is encouraged to be actively involved in the discussion, the core objective being to learn how to conduct excellent research, as well as provide and receive useful feedback to improve one's work.

Doctoral Consortium Chairs

Elsa Negre
Université Paris–Dauphine, France

Jose Luis de la Vara
Universidad de Castilla-La Mancha, Spain


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