DSA Cambridge Fellowship 2027 Applications Open: A 12-Month Leadership Programme for the Algorithmic Age

Overview

Organised by The Digital Statecraft Academy, the DSA Cambridge Fellowship 2027 is an intensive 12-month hybrid leadership development programme. It is tailored for established and emerging leaders navigating policy, institutional, and ethical challenges involving artificial intelligence, algorithmic decision-making, digital public infrastructure, and data-driven government.

The programme combines structured online learning, individual expert consultations, peer collaboration, applied project development, and a mandatory residential training week in Cambridge, United Kingdom. Fellows complete approximately 120 hours of structured engagement over four quarters while maintaining their current professional positions.

Benefits

Strategic leadership training for navigating AI, data, algorithmic government, GovTech, and evidence-based technology decisions.
Practical implementation and project management capabilities through structured milestone reviews, expert feedback, and peer collaboration.
Access to an international professional network of peers, academics, and practitioners across data, AI, policy, and governance.
Opportunities for publication, international conference presentation pathways, and a DSA Cambridge Fellowship Certificate of Completion upon satisfactory finishing.
An in-person residency in Cambridge, United Kingdom, featuring six nights of accommodation and daily catering during the scheduled residency period.

Eligibility

Open to senior, established, or emerging leaders shaping institutional policy, strategy, research, or innovation across government, public institutions, intergovernmental organisations, academia, industries, and civil society.
Candidates must demonstrate meaningful professional or academic experience in data science, artificial intelligence, public policy, governance, or a related field.
Applicants must show leadership potential, institutional or regional impact, commitment to public value, and readiness to engage with interdisciplinary challenges.
Strong professional and academic English proficiency is required to actively participate in discussions, read assigned materials, and produce written outputs.
Ability to travel and attend the mandatory in-person Cambridge residency without remote participation alternatives.

How to Apply

Candidates must submit their applications through the official online application form. The application package requires:

A maximum two-page curriculum vitae including contact information for three referees.
Three to five Fellowship Questions reflecting professional interests and learning priorities.
A one-page project proposal detailing an initial idea for the principal output to be developed.
A short introductory video of up to three minutes.
Confirmation of travel availability, funding information explaining financial arrangements, and optional institutional support letters.

Deadline

Applications for the Class of 2027 must be submitted by 14 September 2026. Selected Fellows must complete payment and enrolment by 7 December 2026.

Overview

Benefits

Strategic leadership training for navigating AI, data, algorithmic government, GovTech, and evidence-based technology decisions.

Practical implementation and project management capabilities through structured milestone reviews, expert feedback, and peer collaboration.

Access to an international professional network of peers, academics, and practitioners across data, AI, policy, and governance.

Opportunities for publication, international conference presentation pathways, and a DSA Cambridge Fellowship Certificate of Completion upon satisfactory finishing.

An in-person residency in Cambridge, United Kingdom, featuring six nights of accommodation and daily catering during the scheduled residency period.

Eligibility

Open to senior, established, or emerging leaders shaping institutional policy, strategy, research, or innovation across government, public institutions, intergovernmental organisations, academia, industries, and civil society.

Candidates must demonstrate meaningful professional or academic experience in data science, artificial intelligence, public policy, governance, or a related field.

Applicants must show leadership potential, institutional or regional impact, commitment to public value, and readiness to engage with interdisciplinary challenges.

Strong professional and academic English proficiency is required to actively participate in discussions, read assigned materials, and produce written outputs.

Ability to travel and attend the mandatory in-person Cambridge residency without remote participation alternatives.

How to Apply

Candidates must submit their applications through the official online application form. The application package requires:

A maximum two-page curriculum vitae including contact information for three referees.

Three to five Fellowship Questions reflecting professional interests and learning priorities.

A one-page project proposal detailing an initial idea for the principal output to be developed.

A short introductory video of up to three minutes.

Confirmation of travel availability, funding information explaining financial arrangements, and optional institutional support letters.