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Research project

DEEP - Extreme Poverty Phase II

Project overview

The ÃÛÌÒTV is a consortium partner on the FCDO-funded Data and Evidence to end Extreme Poverty (DEEP)1. DEEP is a seven year research programme building high quality evidence and insights to help tackle extreme poverty around the globe.

The ÃÛÌÒTV is already contracted by OPM. This project covers activities and deliverables for the period January 2023 to June 2025.

The previous SPC 520812.

Staff

Lead researchers

Professor Nikos Tzavidis PhD

Professor of Statistical Methodology
Research interests
  • Small Area Estimation and official statistics
  • Outlier robust inference; Quantile and M-quantile models
  • Geospatial data; Poverty mapping; Statistical inference under data aggregation and displacement
Connect with Nikos

Email: N.TZAVIDIS@soton.ac.uk

Other researchers

Dr Christopher Lloyd MSci, MSc, PhD, FGS

Senior Research Fellow
Research interests
  • GIS and Remote Sensing
  • Open Source Geospatial Tools
  • Building Classification using Machine Learning
Connect with Christopher

Email: C.T.Lloyd@soton.ac.uk

Professor Andrew Tatem

Personal Chair
Research interests
  • Developing approaches to map population distributions, demographics and dynamics through complementing traditional datasources (census, survey, registries) with new forms of geospatial data from e.g. satellite imagery and mobile devices.
  • Understanding the drivers of small area heterogeneities in population health and development in low and middle income settings.
  • The use of high resolution demographic and mobility data for improving understanding and modelling of pathogen dynamics.
Connect with Andrew

Email: A.J.Tatem@soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs