Person

Dolf J.H. te Lintelo

Dolf J.H. te Lintelo

Research Fellow and Cities Cluster Leader

Dr Dolf te Lintelo is a Research Fellow at the Institute of Development Studies, University of Sussex, where he leads the Cities Cluster. His research analyses the multi-scalar governance processes, actors, state/humanitarian/development policies and practices that govern poor and displaced populations’ incorporation into city life, globally. He has an enduring interest in urban informality; food/nutrition insecurity, poverty, and wellbeing, and the ways in which marginal groups exercise (constrained) agency and contest structural factors of disadvantage.

As principal investigator of ESRC/AHRC, NWO and British Academy funded multi-country, cross-disciplinary and cross-sectoral research collaborations, he investigates the global challenges of protracted displacement and the urbanisation of refuge. These projects investigate displaced people as city-makers, and assess placemaking, social assistance and housing informalities in Turkey, Lebanon, Jordan, India, Finland, Norway and the UK. His work was exhibited at the flagship British Academy Summer Showcase (2022), the Venice Architecture Biennale (2021), UN-Habitat III (2016) and the World Urban Forum (2020, 2022), amongst others, engaging professional and academic visitors as well as the general public.

Dolf enjoys adopting innovative mixed research methods and instruments, and has led the development of international evidence based metrics for government political commitment to address hunger and malnutrition (for more information see here). He has worked closely with African and Asian civil society partners to support policy advocacy seeking greater government accountability for undernutrition. Dolf has an enduring interest in how urban systems shape (urban) food and nutrition (in)security and has advised the UN World Food Programme. Dolf has worked extensively in urban and peri-urban contexts in South Asia (Bangladesh, India, Nepal), sub Saharan Africa (Malawi, Nigeria, Tanzania, Zanzibar, Zambia), the Middle East (Lebanon, Jordan, Türkiye) and in northern Europe (Finland, Norway and the UK).

Google Scholar
http://goo.gl/KuLdQ1

Research

Project

Big Data for Development Studies (BIDDS): An Innovative Methodology

This project seeks to make a foundational methodological contribution to the analysis of big data for development studies. Big data has revolutionised the natural sciences (and commerce), however its use within development studies has been comparatively limited. This is despite a clear...

Programme

Better Assistance in Crises (BASIC) Research

The intersection of protracted conflict and displacement with recurring climate shocks, alongside the shifting nature of humanitarian responses, presents multiple challenges for how to provide social assistance more effectively in protracted crises. BASIC (Better Assistance in Crises) Research...

Project

Covid Collective Research Platform

The Covid Collective Research Platform will offer a rapid social science research response to inform decision-making on some of the most pressing Covid-19 related development challenges.

Opinions

Opinion

Making use of big data to inform policy: Lebanon case study

Lebanon, crippled by the continuing financial crisis; soaring poverty; a refugee crisis; deteriorating public services; deep political instability; the Covid-19 pandemic; and the last straw a month ago, the devastating 4 August blast and the tumultuous string of events that followed, is a...

7 September 2020

Publications

Working Paper

Assessing Displaced People’s Design Choices Around Social Assistance

BASIC Research Working Paper 30

This paper sets out to partially address the exclusion of displaced people from the design and planning of social assistance programming by consulting them in a range of design choices about how they engage with social assistance and what a good social assistance programme would look like. The...

10 September 2024

Working Paper

Big Data for Development Studies? An Innovative Methodology

IDS Working Paper 596

This paper makes a foundational methodological contribution to the analysis of big data for development studies. Big data has revolutionised the natural and applied sciences (and commerce). However, its use within development studies has been comparatively limited.

31 October 2023

Working Paper

Living Off-Grid Food and Infrastructure Collaboration: Concepts and Assumptions

Living Off-Grid Food and Infrastructure Collaboration Working Paper 1

This working paper is the product of the Living Off-Grid Food and Infrastructure Collaboration. It is designed to bring together our thinking on how infrastructure can shape the food and nutritional security of urban marginalised populations. Infrastructure assemblages include the material...

Jane Battersby
Jane Battersby & 13 others

23 May 2023

Dolf J.H. te Lintelo’s recent work