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Saturday, April 13, 2024

2024 World Bank Government Analytics Fellowship Program | Fully Funded

The World Bank Government Analytics Fellowship program provides in-person training and in-service support from senior experts at the World Bank and University College London.

The World Bank Fellowship is a fully sponsored fellowship that covers the full travel, accommodation, and maintenance fees of selected fellows from diverse background.

In this post, detailed information of the requirements, benefits, duration and method of application for the World Bank Government Analytics Fellowship will be provided.

World Bank Government Analytics Fellowship Summary

  • Host: World Bank
  • Host Country: USA
  • Category: Fellowships
  • Eligible Countries: All Countries
  • Reward: Full Sponsorship | Living Expenses | Accommodation | Travel Expenses
  • No IELTS Required 
  • Deadline: March 31, 2024
  • Scholarship Alerts: To receive Scholarship Alerts on WhatsApp, Click HERE

World Bank Government Analytics Fellowship Details:

The World Bank Fellowship program is a pioneering initiative designed to bridge the gap between the vast, yet underutilized, data resources held by governments and the potential for enhanced public administration efficiency through data-informed decision-making.

Leveraging insights from the Government Analytics Handbook and supported by World Bank experts and academics, the Fellowship offers frontier evidence and practitioner insights to enhance government efficiency.

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Requirements for 2024 World Bank Government Analytics Fellowship

To be considered for the World Bank Government Analytics Fellowship, you must:

  • Able to travel to Washington DC between May 27 to June 7.
  • Nominated by their organizations (Up to 2 fellows per organization).
  • Working in central government organizations (including agencies).
  • Mid-level managers or senior analyst positions (or equivalent) with authority to develop a government analytics project.
  • Able to demonstrate prior tertiary-level coursework on statistics or related quantitative methods.
  • Proficient in English.

Benefits of 2024 World Bank Government Analytics Fellowship

  • The fellowship spans 6 months, with a concentrated full-time commitment during the 2 weeks of in-person training in Washington, D.C.
  • Participation in the World Bank Global Forum for Public Administration and Government Analytics course in Washington DC includes hotel, travel, and subsistence covered by the World Bank.

Other benefits include;

  • Gain Data-Driven Insights and expertise to harness vast amounts of governmental data, translating it into actionable insights for smarter decision-making and policy development.
  • Catalyze Change in your Government with cutting-edge research and expert support to implement systemic changes in your government’s operations.
  • Join a Collaborative Network of like-minded government officials, data experts, academics, and professionals.

Required Documents for World Bank Government Analytics Fellowship

To apply, candidates must be ready to submit the following documents;

  • A comprehensive CV (3 pages maximum), highlighting your relevant experience and qualifications.
  • A 150-word summary of how you envision applying the insights gained to enhance your organization’s operations through a government analytics project.
  • An endorsement letter from your organization, nominating you for the fellowship and confirming your position.

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How to Apply for World Bank Government Analytics Fellowship (Step by Step)

To apply for the World Bank Government Analytics Fellowship, interested and qualified candidates should follow the procedures below;

  • Visit the World Bank fellowship webpage using the button below
  • Click on ‘Apply Now’
  • You will be directed to the Google Form created for the fellowship
  • Fill the form appropriately and upload the required documents (English format)
  • Submit your application after review
  • The program will be held in the United States of America between May 27 to June 7

Deadline: March 31, 2024

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