1Build a resilient professional workforce
Retirements, turnover, remote work, specialization, and expanding requirements create knowledge risk. Career pathways, workload design, supervision, cross-training, communities of practice, and documented decisions are operational necessities.
Automation should remove low-value repetition while preserving meaningful development and judgment.
2Govern data and AI as infrastructure
Research offices need reliable data definitions, ownership, integration, access, quality, and retention before advanced analytics can be trusted. AI use adds questions about confidentiality, bias, accuracy, procurement, explainability, and accountability.
Institutions should evaluate use cases by consequence and monitor them after deployment.
3Use policy change to improve, not only comply
New rules often expose older process weaknesses. A coordinated policy function can translate requirements, engage users, align systems, and evaluate whether implementation works.
The goal is a research environment where responsible decisions are clear, timely, and supported by evidence.