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Francisco Rowe

Senior Lecturer in Quantitative Human Geography

University of Liverpool

Biography

Francisco Rowe is a Senior Lecturer in Human Quantitative Geography at the Department of Geography and Planning within the University of Liverpool, member of the Geographic Data Science Lab and a Project Associate of the international project IMAGE: Comparing Internal Migration Around the Globe. His areas of expertise are: internal & international migration; human mobility; and computational social science. He has been invited to present his research at the United Nations Population & Development Division in New York and works closely with the United Nations Economic Commission for Latin America and the Caribbean, UK’s government organisations, including the Ordnance Survey and the ONS Data Campus, and commercial companies, Geolytix. His work contributed to the United Nations Expert group meeting on `sustainable cities, human mobility and international migration’, and the ONS Government Statistical Service Advisory Committee. Francisco is editor of REGION, the journal of the European Regional Science Association (2018-present). The international reach of his research has been recognised by an award for the best paper published in Spatial Economic Analysis in 2018 and having top articles in the top 10 most read articles in Transport Research Part C (2018), Spatial Economic Analysis (2019) & Population Studies (2019).

Interests

  • Human Mobility and Migration
  • Economic Geography and Spatial Inequality
  • Computational Social Science

Education

  • PhD in Economic Geography, 2013

    University of Queensland

  • MSc in Regional Science, 2008

    Universidad Catolica del Norte

  • BA in Business Management, with specialisation in Economics, 2007

    Universidad Catolica del Norte

Recent Posts

Introducing the R Package CIM

R Markdown This post introduces our recently published R package, CIM, to measure the impacts of migration on local population …

Migration of Young Human Capital?

Introducing our Special Issue

How do we define functional labour market areas?

Introducing a new method

Projects

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Understanding and Predicting the Long-term Labour Market and Migration Trajectories of Immigrants and Their Children in the United Kingdom

This project aims to investigate how the educational and employment trajectories of immigrants and their children in the UK evolve and …

Using large scale social media data to measure perceptions towards immigration

This project aims to develop analytical methods to analyse perceptions towards immigration using twitter data and machine learning

Estimating Global Bilateral Migration Flows

This project aims to generate annual country-to-country migration estimates across the world.

Using satellite imagery to measure the evolution of cities

The project aims to develop and employ analytical approaches to measure the evolution of cities using machine learning and satellite …

Understanding the declining trend in internal migration in Europe

The project aims to establish the start and pace of the migration decline in 18 European countries.

Improving Subnational Population Forecasts

The project aims to establish the start and pace of the migration decline in 18 European countries.

Recent & Upcoming Talks

Measuring Urban Forest Using Street-Level Imagery and Deep Learning

We develop a method based on computer vision and a hierarchical multilevel model to derive an Urban Street Tree Vegetation Index which …

How Do Local Labor Markets Looks From Above? An Automated Satellite Imagery Approach

Administrative areas do not accurately reflect the contemporary spatial manifestation of labour market linkages. Local labour market …

Migration, Cities & Big Data

This presentation summarises collaborative work on internal migration in Latin American cities. It also proposes ways how twitter data …

Recent Publications

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Career trajectories and outcomes of forced migrants in Sweden. Self-employment, employment or persistent inactivity?

We examine the career pathways of forced migrants using sequence analysis from their arrival in 1991 through to 2013.

A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighborhood Change A Sequence Analysis Approach

This paper uses gridded cell Census data for Great Britain from 1971 to 2011 with 10-year intervals, creating neighborhood typologies …

A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning

We develop a method based on computer vision and a hierarchical multilevel model to derive an Urban Street Tree Vegetation Index which …

Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002–2015

This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and …