“Open Science and the Effects of Generative AI in Scientific Exchange in the EU”
Open Science and the Effects of Generative AI in Scientific Exchange: A 360° STEEPED Foresight and Policy Analysis for the EU
To systematically analyse the opportunities, risks, and policy implications of open science and generative AI for scientific exchange globally and in the EU, using a STEEPED (Social, Technological, Economic, Environmental, Political/Legal, Ethical, Demographic) framework (Amuso, V. and Van Woensel, L. (2025), Reflections on Applying Systems Thinking to Stakeholder Mapping: The STOA Unit at the European Parliament. Global Policy, 16: 403-409. https://doi.org/10.1111/1758-5899.13494) combined with stakeholder foresight and risk analysis.
RQ1: What is the current state of knowledge, regulation, and practice regarding open science and generative AI in scientific exchange?
RQ2: What opportunities, challenges, and emerging trends can be identified in this domain (STEEPED lens)?
RQ3: How do key stakeholders envision possible futures involving AI and OS in Europe?
RQ4: What risks and safeguards should be considered for MEPs and committees (ITRE/IMCO/CULT)?
RQ5: What policy options best balance innovation, transparency, and research integrity?
This is an exploratory foresight study. No confirmatory hypotheses. All analyses are expert led, descriptive, and scenario-based. STEEPED serves as the predefined analytical framework.
Part 1 — Desk Research
Structured review of EU policies, STOA (Events | Panel for the Future of Science and Technology) workshop transcripts, and relevant documentation (2019–2025).
Part 2 — Stakeholder Focus Group & Foresight Workshop
Full-day format with 5–8 participants. Scenario co-creation using Amer, Daim & Jetter (2013). STEEPED evaluation of scenarios.
Part 3 — Risk Register & Policy Options