World Bank Government Analytics Fellowship 2027

The World Bank Government Analytics Fellowship 2027 is an international professional development initiative designed to help government officials use data more effectively to strengthen public administration and decision-making.

Launched in 2024, the Fellowship brings together experts from the World Bank's Development Economics Vice-Presidency, Development Impact Group and Institutions Global Department, alongside academic collaborators.

The programme builds upon the World Bank's Government Analytics Handbook, which explores how governments can use administrative records, public servant surveys and other institutional data to understand operational challenges and improve public-sector performance.

The 2027 Fellowship offers three participation tracks:

Online-Only Track

A self-paced virtual learning opportunity for government officials seeking flexible professional development while continuing their existing responsibilities.

Immersive In-Person Track

A competitive six-month fellowship designed for government professionals who can develop and implement a Government Analytics project with institutional support. This track includes approximately two weeks of intensive training in Washington, D.C., in March 2027.

Regional Hub Track

An alternative participation model based around regional learning hubs. The World Bank has not specified every regional location or the exact arrangements for the 2027 edition.

Participants will work on projects that use government data to address administrative challenges, strengthen institutional processes and support more informed decision-making.

The programme provides opportunities to learn from World Bank experts and academic collaborators, including experts from the University of Oxford identified in the 2027 announcement.

According to the World Bank's official 2027 call, applicants must:

• Be nominated by their organisation.
• Be employed by a central government organisation, including a government agency.
• Hold a mid-level management position, senior analyst position or equivalent role.
• Have the authority and institutional support to develop a Government Analytics project.
• Have completed tertiary-level coursework in statistics or related quantitative methods.
• Demonstrate proficiency in English.
• Propose a Government Analytics project with clear institutional relevance and implementation potential.
• Obtain an official institutional endorsement supporting their proposed project.
• Meet any additional requirements applicable to the selected fellowship track.

Additional requirements for the immersive in-person track:

• Be available to travel to Washington, D.C., for approximately two weeks in March 2027.
• Commit to completing the virtual Government Analytics Fellowship course before the in-person training.
• Submit the required Government Analytics project before participating in the Washington training.

The World Bank Government Analytics Fellowship provides professional development and training benefits, including:

• Training in government analytics and data-informed public administration.
• Learning resources based on the World Bank Government Analytics Handbook.
• Support for developing a Government Analytics project relevant to the applicant's institution.
• Access to World Bank experts and academic collaborators.
• Opportunities to learn from other public-sector professionals and researchers.
• Participation in an international learning network of government officials and data specialists.
• Dedicated mentoring from a World Bank expert for selected fellows, including those on the in-person track.

Additional benefits for eligible selected in-person fellows:

• Approximately two weeks of intensive training in Washington, D.C., USA.
• Travel expenses for the Washington component covered by the World Bank for participants from ODA-eligible countries.
• Hotel accommodation during the Washington training.
• Subsistence support during the in-person training.
• Dedicated mentoring related to the participant's Government Analytics project.

The World Bank requires the following documents for the 2027 application:

• Curriculum Vitae (CV): A comprehensive CV of no more than three pages, highlighting relevant professional experience and qualifications.
• Government Analytics Project Summary: A 150-word summary of the proposed project that the applicant intends to undertake within their organisation.
• Institutional Endorsement Letter: An official letter from the applicant's organisation nominating them for the Fellowship, confirming their position and demonstrating support for their participation and proposed project.

Document format: All required documents must be prepared in English and submitted in PDF format.

The World Bank's published guidance indicates that applications are evaluated according to:

• Institutional relevance: Whether the proposed project addresses an important public administration challenge.
• Project feasibility: Whether the proposed analytics work can realistically be undertaken and implemented.
• Data availability: Whether the necessary administrative or survey data already exist or can plausibly be collected.
• Professional suitability: Whether the applicant's role provides the authority needed to undertake the project.
• Quantitative background: Whether the applicant has appropriate education or experience with statistics and quantitative methods.
• Institutional endorsement: Whether the applicant's organisation demonstrates meaningful support for the project.
• Alignment with government analytics: Whether the project focuses on improving government administration rather than primarily analysing public policy.

• Develop practical skills in using data to improve government performance.
• Learn directly from specialists working on public administration and institutional analytics.
• Apply analytical methods to a real challenge within your organisation.
• Strengthen evidence-informed decision-making and public-sector management.
• Access international perspectives on government reform and administrative effectiveness.
• Build professional connections with public servants, researchers and data specialists.
• Gain experience developing a practical institutional improvement project.