Facing mounting geostrategic, political, and technological pressures, science cannot afford to be passive—it must confront the incentives and cultural failings within its own institutions, from the “bibliometric disease” to weakened self-regulation. Only by pre-emptively reforming how it governs, communicates, and justifies itself can science shape its own future and remain a trusted public good, argues Sir Peter Gluckman.

Science has entered a data-rich era, but its integrity, equity, and openness now depend on treating FAIR data as a first-class output and closing the governance gaps around AI-driven research. Without urgent policy action on data standards, infrastructure, and incentives, AI risks accelerating hallucination and eroding trust rather than advancing trustworthy science, argue Barend Mons, Arie Baak, and Koen Jonkers.

In a rapidly shifting geopolitical landscape, scientific institutions must proactively reform their internal incentives and self-governance to protect research integrity and ensure knowledge remains a trusted global public good. Passive compliance with external pressures will no longer suffice if science is to survive as a credible, universally accessible enterprise, argues Sir Peter Gluckman.