Joan Giner-Miguelez

I’m a researcher at the Barcelona Supercomputing Center, where I build AI methods for research in the social sciences and humanities (SSH). My work sits where data, AI, and the disciplines that use them meet—and I work to make that intersection trustworthy. That commitment runs across three fronts. In research, I develop AI methods for SSH at the BSC, and I’m currently focused on applying trustworthy AI to legislation and public administration. In data standards and data-sharing practices, I’m working on Croissant, an MLCommons metadata standard for ML-ready datasets, where I lead the Responsible AI group. And in policy, I was recently appointed by the European Commission to the AI Act Advisory Forum, helping shape how AI is governed across the EU. Before this, I taught web and software engineering courses at UAB and UOC universities, and worked as a software architect for international companies. I also served as a Member of the Catalan Parliament, serving as spokesperson for its Science and Technology Committee.

Projects and Tools

Highlighted publications

• When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge. arXiv, 2026.

• Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets.
  arXiv, 2026.

• Press Releases Shape Online Attention for Neuroscience Articles.
  Scientometrics, Springer Nature, 2026.

• The Software Diversity Card: A Framework for Reporting Diversity in Software Projects.
  Information and Software Technology, Elsevier, 2025.

• On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning.
  Scientific Data, Springer Nature, 2025.

• A Standardized Machine-readable Dataset Documentation Format for Responsible AI. arXiv, 2025.

• Croissant: A Metadata Format for ML-Ready Datasets.
  NeurIPS 2025.

• Model Driven Engineering, Artificial Intelligence, and DevOps: A Systematic Mapping Study of Synergies and Challenges.
  ACM Transactions on Software Engineering and Methodology (TOSEM), ACM 2025.

• DataDoc Analyzer: A Tool for Analyzing the Documentation of Scientific Datasets. CIKM 2023.

• A Domain-specific Language for Describing Machine Learning Datasets.
  Journal of Computer Languages, Elsevier 2023.

• DescribeML: A Dataset Description Tool for Machine Learning.
  Science of Computer Programming, Elsevier 2022.

Community Commitment & Teaching

Reviewing

Conferences: NeurIPS (2024, 2025, 2026), CIKM (2023, 2024), MODELS (2022).

Journals: Scientific Data (Springer Nature), IEEE Software, Information Processing & Management (Elsevier), Journal of Computer Languages (Elsevier), Journal of Policy Research.

Academic advisor

Evaluated new computer science degrees for the Andorran Quality Assurance Agency (AQUA), 2023–2024.

Teaching

I have taught, created course content, and coordinated practicums for computer science and software engineering courses at the Universitat Autònoma de Barcelona (UAB) and the Universitat Oberta de Catalunya (UOC).

• Content Management Systems — UOC, Computer Science degree · 2018–2021

• Programming Languages II — UAB, Computer Science degree · 2020

• Web Technologies — UAB, Computer Science degree · 2020–2024

• Advanced software engineering — UOC, Computer Science degree · 2024-2026

I have also supervised more than 20 final-degree and master’s theses across both universities.

Past experience

Software Architect 2018-2021 — Sopra Steria S.A., delivering enterprise software for international clients.

Member of Parliament 2015-2018 — Parliament of Catalonia , serving as spokesperson on its Science and Technology Committee.

Software Developer 2012-2015 — Start-up web crafting company delivering web-based software.