What To Fear from AI Agents and How to Reclaim Our Human Agency

This Mooc proposes methodological principles for open and transparent science. It deals in a practical way with note-taking, computational documentation, replicability of analyses.

We placed a tracking device in a shipment of rare books to see which AI company was buying it, and found an Amazon facility where Amazon scans and destroys books.

Choose if you want to make the European Union the primary home for your Fastmail data, on our own secure servers in Amsterdam.

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

Reproducible Science is good.<br/> Replicated Science is better.

1 Introduction In Tools for Conviviality [1973], Ivan Illich laid down a strikingly prescient analysis of the woes that can plague a technological society and destroy what he called conviviality, t...

This paper considers cases where AI is used to automate tasks perceived to be “mere routine” and inconvenient to researchers. We term such uses “Convenience AI” and characterise the set of assumptions...

A field guide for policymakers (and everyone who cares about American science).

Open Science is an umbrella term encompassing a multitude of assumptions about the future of knowledge creation and dissemination. Based on a literature review, this chapter aims at structuring the ov...

Welcome to Maastricht University! Are you an ambitious post-doctoral researcher with an Open Science mindset who seeks to unravel the threads of visibility and invisibility of staff across research pr...

Published in Journal of Research on Research (Vol. 1, No. 1, 2026)