This 12-month hybrid programme includes
- Capstone project – Fellows develop solutions for pressing regional challenges
- Exclusive week-long Cambridge residency – Immersive training with world-renowned experts
- Personalised mentorship and engagement plan – Tailored networking and mentorship throughout the year
- Global visibility – Presentation opportunities at the prestigious Data for Policy international conference
- Publication pathway – Support from Cambridge University Press for disseminating research findings
A Certificate of Completion will be awarded at the end of the programme. Fellows will also join our Fellowship Alumni Network for engagement opportunities beyond the initial 12-month programme.
- Strong professional or academic experience in data science, AI, public policy, or governance
- Current or emerging leadership positions with clear potential for institutional impact
- Influence and authority to pioneer data-driven transformation in their organizations and regions
- Vision for transformation that extends beyond their immediate role
Institutional Partners: We welcome organisations that
- Nominate and sponsor high-potential leaders from their ranks
- Commit to implementing fellowship-derived recommendations
- Offer expertise and resources to the broader fellowship community
- Champion responsible digital transformation in their sectors
Strategic Collaborators: We invite institutions seeking to
- Co-develop curriculum for emerging challenges at the interface of data/AI and governance/policy
- Provide real-world case studies and implementation opportunities
- Offer sponsorship opportunities for applications from underrepresented regions and communities
- Offer research collaboration and publication partnerships
- Build global networks for digital transformation excellence
120 hours of structured engagement spread across four quarters, designed to be manageable for professionals/executives in post whilst delivering a substantial and transformative learning experience.
Q1: Foundation & Network Building (30 hours | Programme-led)
Comprehensive onboarding establishing cohort foundations and integration into global Data for Policy and Cambridge networks. Includes structured introductory sessions, strategic introductions to 15-20 key practitioners aligned with research interests, positioning workshops, and formation of regional peer clusters for ongoing collaboration.
Q2: Intensive Training Residency (30 hours | Cambridge-based)
Three core modules delivered during the Cambridge residency:
- Module 1: Systems Thinking for AI-Enabled Governance – Advanced strategic frameworks for digital transformation in complex governance environments
- Module 2: Technology Comprehension & Capacity Building – Specialised knowledge across DPI, Data-for-Policy, Algorithmic Government, and GovTech with hands-on experience
- Module 3: From Vision to Implementation – Applied methodologies for turning strategic vision into deliverable outcomes
Q3: Individual Project Development & Mentorship (30 hours | Fellow-led with structured support)
Intensive project development with expert guidance, personalised mentorship from academic and practitioner networks, publication pathway support, and strategic connections with implementation partners. Includes peer review processes and collaborative working groups.
Q4: Project Delivery & Assessment (30 hours | Fellow-led with structured support)
Project completion across diverse formats (policy workshops, publications, prototypes, implementation frameworks) with comprehensive programme evaluation. Includes reflective documentation, cohort assessment workshop, and structured alumni transition into ongoing Data for Policy networks.



