Seminars are held every Wednesday in term time at 4pm. Click the links below to book your (free) place.
Wednesday 13 October: Karen Chapple, University of Toronto
The expectation of a mass movement out of cities due to the rise of remote work associated with the Covid-19 pandemic, is counter to longstanding theories of the benefits of agglomeration economies. It suggests centrifugal shifts of economic activity that could boost neighbourhood economies at the expense of the downtown core. Using mobile phone data from SafeGraph, we track migration and daily mobility patterns throughout four U.S. metropolitan areas (Austin, New York, San Diego, and San Francisco) between July 2019 and June 2021. We find that diverse suburban centres and exurban areas have generally bounced back more quickly than dense specialized commercial districts, but outcomes vary depending on local economic structure and urban form.
Speaker bio: Karen Chapple, PhD, is the inaugural Director of the School of Cities at the University of Toronto, where she also serves as Professor in the Department of Geography and Planning. She is Professor Emerita of City & Regional Planning at the University of California, Berkeley, where she served as department chair and held the Carmel P. Friesen Chair in Urban Studies. Chapple studies inequalities in the planning, development, and governance of regions in the U.S. and Latin America, with a focus on economic development and housing.
Speaker bio: TBC
Speaker bio: I am an urban and transportation geographer and a Geographic Information Scientist. I am fascinated by cities and neighborhoods and in understanding their processes of change. I love searching for new and creative ways of visualizing and analyzing these dynamic processes – from the more complex geocomputational approaches to the simple word cloud made from real estate listings-I enjoy seeking out new data sources or methods and investigating their potentials and limitations in illuminating processes of change.
Wednesday 03 November: Professor Adam Dennett, UCL CASA
While recent debates have widely acknowledged gentrification’s varied manifestations, success in enumerating and disentangling the process and its defining features from other forms of neighbourhood change at-scale and across entire cities, has remained largely elusive. This paper addresses this gap and employs a novel, open and reproducible urban analytics approach to systematically examine the past and future trajectories of neighbourhood change using London, England, as a case-study example. Using suites of datasets relating to population, house prices and built environment development, the nature of gentrification’s mutations and its spatial patterns are extracted through a multi-stage data dimensionality reduction and classification methodology. Machine Learning is subsequently adopted to model gentrification’s observed trends and predict its future frontiers with interactive visualisation methods offering new insights into gentrification’s projected dynamics and geographies.
Speaker bio: Professor Adam Dennett is Professor of Urban Analytics and Head of Department at the Bartlett Centre for Advanced Spatial Analysis (CASA), University College London. Adam is a geographer with diverse research interests which have included in recent years, population and migration, the geographies beer and brewing in urban areas and improving our data landscapes though crowd sourcing or synthetic data approaches. He has ongoing research interests in areas such as gentrification and neighbourhood change, residential mobilities, housing, urban health and retail modelling. Has a passion for open science, reproducible methods and for applied urban science to have real world impact through collaborative endeavours with urban governments
Speaker bio: Chief Data Reporter, Financial Times
Speaker bio: I’m the Housing Research and Analysis Manager in the housing policy team at the Greater London Authority, where I have worked since 2007. In 2012 I finished an MSc in Human Geography with a specialism in urban economics at the LSE and in 2014 I worked with the Centre for Advanced Spatial Analysis at UCL on their Talisman project.
Wednesday 01 December: Dani Arribas-Bel, University of Liverpool
Speaker bio: I am a Senior Lecturer in Geographic Data Science at the Department of Geography and Planning , and member of the Geographic Data Science Lab, at the University of Liverpool (UK), where I direct the MSc in Geographic Data Science. From 2020 to 2023, I am also an ESRC Fellow at the Alan Turing Institute .
I am part of the development team of the open source library PySAL for spatial analysis in Python; and created contextily, a small Python package to use web tile services in static maps.
Since 2019, I am co-editor of "Environment and Planning B - Urban Analytics and City Science" and, since 2020, I am also in the editorial panel of "Journal of the Royal Statistical Society, Series A - Statistics in Society".
Wednesday 08 December: Ramya Ragupathy, Humanitarian OpenStreetMap
Speaker bio: Ramya Ragupathy is the backend developer of almost all of HOT’s crucial software tools developed in-house. She contributes to all daily technical operations. Ramya has been supporting OpenStreetMap since 2015, takes part in building a data for good community and likes fun maps, taking GPS traces, and photographic records of her travels.
Speaker bio: As Operations Director, Martyna is responsible for the management of Finance, Administration, Human Resources and IT, ensuring effective running of the business. Martyna is also Edge Analytics’ designated Data Privacy Manager, with responsibility for ensuring compliance with General Data Protection Regulation (GDPR).
Martyna has extensive experience of the development and delivery of demographic products and services to a wide range of public and private sector organisations, including managing the development of our projects in the Utilities sector. Martyna also coordinates the provision of support to all POPGROUP users, both in the UK and internationally and, most recently, has overseen the development of our VICUS forecasting technology.
Martyna joined Edge Analytics in 2011 whilst completing her degree in Human Geography at the University of Leeds. Martyna has previously worked as a Research Assistant to Professor Phil Rees at the School of Geography in Leeds.
Martyna is originally from the village of Pluski in the Warmia & Masuria region of Poland, its ‘land of a thousand lakes’. In her spare time, she is a keen cyclist, walker and fundraiser.