Understanding Society Data Research Fellowships

  • Start Date:

  • Deadline:

  • Agency:
    Economic and Social Research Council (ESRC)

The Office of Grants and Research (OGR), Kwame Nkrumah University of Science and Technology (KNUST), invites eligible applicants to apply for the Understanding Society Data Research Fellowships, funded by the Economic and Social Research Council (ESRC), to support in-depth research using large-scale longitudinal data.

Programme Overview
This fellowship provides researchers with dedicated time to undertake innovative research or address methodological challenges using data from the Understanding Society study—one of the world’s largest longitudinal household panel surveys. The programme supports high-quality analysis that contributes to social science knowledge and policy-relevant insights.

Key Details

  • Funder: Economic and Social Research Council (ESRC)

  • Funding Type: Fellowship

  • Maximum Funding: Up to GBP 70,000

  • Application Deadline: 27 May 2026

Eligibility

  • Open to academic institutions, commercial organisations, government bodies, and non-profit organisations

  • Eligible applicants include graduate students, early-career, and established researchers

  • Applicants should demonstrate the ability to work with large-scale longitudinal datasets

Funding Scope

The fellowship supports:

  • Research using Understanding Society data

  • Projects addressing methodological or analytical challenges

  • Advanced data analysis and interpretation

  • Studies with potential to inform policy and societal outcomes

Disciplines

  • Data Analysis

  • Climate Change

  • Health Disparities

  • Population Studies

  • Research Methods

  • Community Studies

Strategic Focus Areas

  • Advancing data-driven social science research

  • Strengthening methodological innovation

  • Informing evidence-based policy and decision-making

How to Apply
Applicants should review the full guidelines and submit their applications via:
https://www.understandingsociety.ac.uk/research/fellowships/call-fellowships/

Applicants are expected to present a clear research proposal, demonstrate strong analytical capability, and show how their work will generate impactful insights using longitudinal data.