Using Open Science principles and AI to interconnect the elements of a conference
This repo hosts a session proposal for the Open Science Conference taking place on 8-9 October 2025 in Hamburg, Germany. Title Using Open Science principles and AI to interconnect the elements of a conference Abstract Both Open Science and Artificial Intelligence have considerable potential for sharing knowledge at scale. This two-part session explores how they can be used to meaningfully interconnect the contributions of a conference. It will serve both as a solution session in its own right and as an experimental framework for building shared understanding and continuity across the wider event. The session will not introduce standalone content but will instead derive its topics, examples and points of discussion from the other sessions presented throughout the conference, based on publicly available information about individual sessions. The session purpose is to collaboratively identify cross-cutting insights, shared challenges, and potential solutions. The purpose of the session split is to enhance collective reflection across the different elements of the conference. The session is composed of two 30-minute segments—one at the start of the conference and one at the end. The first part will introduce the challenge of how to connect the research and ideas presented at the event across disciplines, communities, and formats in a way that is transparent, inclusive, and scalable. It will present a lightweight framework for tracing and documenting such themes throughout the event, using workflows (such as etherpads) that invite contributions from anyone interested. Where appropriate, AI-based tools may be used by anyone involved to support these documentation efforts (e.g. for summarization), with a focus on transparency and ethical implementation. The seven core topics of the conference will serve as default starting points for conversation and documentation, to be adapted in response to the conference content as it develops. A key feature of the session is that it invites all conference participants—not just those attending these two segments—to contribute to the experiment. In advance of the event, presenters and attendees will be invited to participate in the organization and documentation of each session across the program. This includes suggesting how individual sessions do or could relate to shared themes, proposing questions to carry forward into other sessions, and contributing to collaborative notes and mini-surveys before and after each session taking place. Between the two segments of the session, attendees will be encouraged to actively engage with documentation across all sessions, using shared open documents and optional AI assistance to identify patterns, record open questions, and propose tentative solutions. Feedback from participants will be welcomed at all stages, enabling dynamic reflection and iteration. Of course, this includes feedback on this session too. This abstract has thus been made available under the DOI 10.5281/zenodo.15502415, through which channels for further interaction can be explored. The second segment, towards the end of the conference, will provide a space for reflecting on what was learned and co-developing a synthesized view of how the conference contributions connect. Participants will be invited to share observations, compare notes, and collaboratively identify recurring problems and innovative approaches. The outcome will be a lively, open record of potential practices and priorities for responsible interactions between Open Science and AI—grounded in the conference’s own content and shaped through participant collaboration. This output may include draft checklists, shared terminology, or outlines for future activities. One way to share this output will be through a dedicated knowledge graph, and anyone interested is invited to explore how their preferred workflows can interact with that. Considering both of its segments together, this session aims to demonstrate how approaches from Open Science and can be combined to not only document but interlink the work of an entire research gathering. Follow-up options post ideas or comments in an etherpad at https://pad.systemli.org/p/Open_Science_and_AI_for_conference-keep somewhere else, and add a pointer in the etherpad or ping me via Mastodon
Institutions
- FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE)
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (DE)
- Freie Universität Berlin (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-24
- DOI
- https://doi.org/10.5281/zenodo.15502415
- Primary Topic
- French Urban and Social Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00