CV and publications

Curriculum vitae

Roles and publications

Career, then publications by type, newest first within each type.

Academic rolesTop ↑

  • Professor (Geographic Data Science), Centre for Advanced Spatial Analysis, University College London2024–
  • Associate Professor (Spatial Data Science), Centre for Advanced Spatial Analysis, University College London2020–2024
  • Senior Lecturer (Quantitative Human Geography), Department of Geography, King's College London2018–2020
  • Lecturer (Quantitative Human Geography), Department of Geography, King's College London2013–2018
  • Research Associate, Centre for Advanced Spatial Analysis, University College LondonEU-funded study of multi-scalar urban flows using novel transport and communications data.2011–2013
  • Affiliate Researcher, SENSEable City Laboratory, Massachusetts Institute of TechnologyExhibitions, data management, research and knowledge sharing.2006–2009

Industry experienceTop ↑

  • Freelance web design and programming1996–2011
  • Technical Project Manager, Fulcrum AnalyticsManaged a four-person team on award-winning database-mining projects for clients including Orange and Comic Relief.2002–2005
  • Business Software Engineer, Fulcrum Analytics2001–2002
  • Software Developer, Cyber Dialogue1999–2001
  • Webmaster/Publisher, Cyber Dialogue1997–1999

EducationTop ↑

  • PhD in Town Planning, University College LondonThesis: The Place of Telecommunications: Spatial Decision-Making by Firms in the Age of Global Communications. Supervisors: Sir Peter Hall and Michael Batty.2006–2011
  • Continuing education, New York University1997–2002
  • Continuing education, School of Visual Arts1997–2002
  • BA in Comparative Literature, Princeton University1993–1997

GrantsTop ↑

  • No space like home? Small domestic properties, compensatory urbanism and housing futures in English cities, Economic and Social Research Council2024–2027
  • AI-Supported Research Sandpit, Economic and Social Research Council2026
  • Data Science and AI Scholarships, Office for StudentsCo-authored bid for 50 scholarships across 2 years. £500,000 to department.2022–2026
  • Diversity and UK Firm Performance, UK Research and Innovation2022–2026
  • MODS: Mapping knowledge with data science, Economic and Social Research CouncilCASE studentship (LISS DTP) with the British Library and the Alan Turing Institute as second supervisor. PI. £64,000.2018–2025
  • GREP: Gendering the Research Pipeline, Economic and Social Research CouncilCASE studentship (LISS DTP) with the British Library and the Alan Turing Institute as second supervisor. PI. £64,000.2020–2024
  • Code Camp: Rebooted, University College LondonUCL Changemakers. PI, in partnership with students. £822.2022
  • Conjuring, King's College LondonFaculty Education Fund. PI. Prototype of a portable, low-power, self-contained Jupyter Hub teaching platform using containerisation. £6,200.2019
  • Predicting neighbourhood change using big data and machine learning, Urban Studies FoundationSeminar series. Named Co-I with UC Berkeley and the University of Sydney. £20,000.2019
  • Planning smart, healthy and accessible cities, PLuS AllianceAccelerator funding. Co-I, with researchers at UNSW and ASU. £60,000.2018
  • Seed Funding Project, KCL-LSHTMCo-I. Synthetic population generation and agent-based models of the shift to active travel in a London borough, with Informatics and Public Health. £9,200.2018
  • Professor Sir Richard Trainor Doctoral Scholarship, King's College LondonPI. Competitively allocated funding for doctoral research. £45,000.2015–2018
  • Professor Sir Richard Trainor Doctoral Scholarship, King's College LondonPI. A second scholarship, £45,000.2015–2018
  • Geopyter, Royal Geographical SocietyRay Y. Gildea Jr. Award for open source Geopyter development, with Prof. Sergio Rey. £1,000.2017
  • Informed Urbanism, PLuS AllianceSeed funding for smart-cities data analysis linking King's, UNSW and ASU. AUS$53,000, of which £10,000 to King's.2017
  • Socioeconomic Impacts of Doctoral Training, King's College LondonFaculty Research Fund. PI. £6,000.2016
  • Code Camp, King's College LondonCollege Teaching Fund. Co-I. Online introductory programming material for undergraduates. £6,000.2016
  • PhD with BT Archives and the Science Museum, Arts and Humanities Research CouncilCollaborative Doctoral Partnership award. PI. £64,000.2015
  • GeoCUP: Linux-on-USB key platform for GeocomputationPI. Open source platform for undergraduate Geocomputation and Spatial Analysis. £4,000.2015
  • Big Data Sandpit, University College LondonCo-I. Prototype location-aware mobile healthcare application. £15,000.2012
  • Doctoral research funding, International Balzan Prize FoundationStudentship in support of doctoral research. £88,000.2007–2010

TeachingTop ↑

  • Foundations of Spatial Data Science, University College LondonModule lead. Shifted module focus from 'intro to programming' towards critical engagement with the spatial data analytics pipeline. Docker and Jupyter used to teach EDA, ESDA and basic NLP.2020–
  • Curriculum review: Urban Spatial Science, University College LondonAudited CASA's teaching portfolio and, through consultation with all academic staff, helped restructure programmes and modules to reduce overlap and give students greater flexibility.2021
  • Applied Geocomputation, King's College LondonJoint lecturer on clustering methods (BA/BSc Geography).2016–2020
  • Geocomputation, King's College LondonJoint lecturer on statistics and programming (BA/BSc Geography).2015–2020
  • Geographical Research Skills, King's College LondonModule co-ordinator. The main methods module for 160+ second-year BA/BSc Geography students; commended by external examiners.2014–2020
  • Geocomputation and Spatial Analysis pathway, King's College LondonCurriculum design and development. Developed and launched a geocomputation pathway for undergraduates, three modules plus an optional Code Camp, to address skills gaps in geography.2013–2020
  • Advanced Quantitative and Spatial Methods in Human Geography, King's College LondonModule lead (MSc Geography) and lecturer on visualisation, statistics and spatial analysis (also MSc Creative Cities). Twice nominated for King's Teaching Award.2013–2020
  • Current Research / Geography in Action, King's College LondonJoint lecturer on 'big data', bias and privacy (BA/BSc Geography).2013–2020
  • San Francisco Field Trip, King's College LondonJoint supervisor. Organised project-based activities for up to 45 BA Geography students.2013–2020
  • Spatial Analysis, King's College LondonJoint lecturer on advanced spatial statistics and programming (BA/BSc Geography).2015–2017
  • Urban Geography, King's College LondonJoint lecturer on cities, regions, innovation and location (BA Geography).2014–2017
  • Practicing Geographical Inquiry, King's College LondonJoint lecturer on translating theory into data collection and survey design, working with London food market managers (BA/BSc Geography).2013–2016

PhDs supervisedTop ↑

  • Michele FerrettiGeographies of Code: Decompiling the 'Smart City' through the study of software engineering practices
  • Paulina HubnerDrones in the Civilian Domain of German: A contestation of visual, legal and socio-spatial verticality
  • Dit ManeepitakPotential Economic and Social Impact of Land and Building Tax: An Evaluation of the Property Assessment System in Bangkok
  • Laura SheppardGendering the research pipeline: A quantitative feminist geographical approach
  • Persis Taraporevala'Homegrown' Smart Cities: empowering or deregulating Indian municipal government?
  • Jennie WilliamsFrom Knowledge to Innovation: Using NLP to identify innovative activity

PhDs examinedTop ↑

  • Tianyuan Wang, University of CambridgeDoes planning strategy matter? Policy identification, vertical policy alignment and the implications for fiscal transfer and local economic development in China2026
  • Boyana Buyuklieva, University College LondonLondon's Demographic Metabolism: Using Computational Social Science Methods to Map Mobility in Populations and Places
  • Jennie Gray, University of LeedsIdentifying and Predicting Neighbourhood Level Gentrification: A Data Primitive Approach
  • Alfie Long, University College LondonAccessibility and Mobility: Enriching and Transforming Existing Big Datasets for Public Transport Analysis
  • Giulia Occhini, University of BristolWho, What and Where: Myth-Busting the Digital Economy with Web Data

Service and membershipsTop ↑

  • AI Education Programme Steering Committee, University College London2026–
  • Editorial Board Member, Canadian Geographies/Géographies canadiennes2025–
  • Head of Department, Centre for Advanced Spatial Analysis2023–
  • Editorial Board Member, International Journal of GIScience (IJGIS)2019–
  • Member, Regional Studies Association2008–
  • Member, Town and Country Planning Association2007–
  • AI in Teaching and Learning Working Group, University College London2026
  • Interdisciplinary Assessment College, UKRI2023–2025
  • Member, Bartlett Ethics Advisory Group, University College London2021–2025
  • Deputy Chair/Acting Chair for Ethics, Centre for Advanced Spatial Analysis2021–2025
  • Member, Bartlett EDI Group, University College London2021–2024
  • Seminar Series Organiser, Centre for Advanced Spatial Analysis2021–2023
  • Chair, Geocomputation Research Domain, King's College London2019–2020
  • Deputy Director for Education, CUSP London2017–2020
  • Member, College Research Ethics Committee, King's College London2017–2020
  • Member, 'Big Data' Steering Group, King's College London2014–2020
  • Chair, Geography, Global Affairs, Social Science, Health and Medicine Research Ethics Panel, King's College London2013–2017

Peer reviewTop ↑

  • Cities, Environment and Planning A, Environment and Planning B, Journal of Urban Technology, IEEE Pervasive and Mobile Computing, Entropy, Geoforum, Geographical Analysis, Geography Compass, Habitat International, International Journal of Urban Science, International Journal of Geographical Information Science (IJGIS), International Journal of Housing Markets and Analysis, Progress in Human Geography, Regional Studies, Sensors, Telecommunications Policy, Transactions of the Institute of British Geographers, Urban Science, Urban Studies, World Wide Web Journal

Journal articles32Top ↑

  1. Buyuklieva, B., Bevilacqua, I., Dennett, A., Reades, J. and Hubbard, P. (2025). Life for rent: Evolving residential infrastructure in London and the rise of Build-to-Rent. Urban Studies, 62(6), pp. 1232–1249. DOI
  2. Sheppard, L. and Reades, J. (2025). Finding the female geographers: The gendered dynamics of UK geography PhD study. The Professional Geographer, 77(3), pp. 343–356. DOI
  3. Sheppard, L. H., Reades, J. and Freeman, R. P. (2025). Examining the ‘gendered’ places and spaces of UK doctoral education using multilevel modelling. Transactions of the Institute of British Geographers, 50(3), pp. e12745. DOI
  4. Reades, J., Hu, Y., Tranos, E. and Delmelle, E. (2025). The city as text. Nature Cities, 2(9), pp. 794–800. DOI
  5. Chng, I., Reades, J. and Hubbard, P. (2024). Planning deregulation as solution to the housing crisis: The affordability, amenity and adequacy of Permitted Development in London. Environment and Planning A: Economy and Space, 56(3), pp. 961–978. DOI
  6. Hubbard, P., Reades, J., Walter, H. and Preston, C. (2024). Shrinking homes? The geographies of small domestic properties in London, 2010–2021. Environment and Planning B, 51(5), pp. 1137–1152. DOI
  7. Reades, J. and Williams, J. (2023). Clustering and Visualising Documents using Word Embeddings. Programming Historian. DOI
  8. Sheppard, L., Reades, J. and Freeman, R. P. J. (2023). Gendering and Diversifying the Research Pipeline: A Quantitative Feminist Geographical Approach to Gender in Higher Education. Annals of the American Association of Geographers, 113(4), pp. 817–833. DOI
  9. Reades, J., Lees, L., Hubbard, P. and Lansley, G. (2022). Quantifying state-led gentrification in London: Using linked consumer and administrative records to trace displacement from council estates. Environment and Planning A: Economy and Space, pp. 0308518X221135610. DOI
  10. Pettit, C. J., Zarpelon Leao, S., Lock, O., Ng, M. and Reades, J. (2022). Big Data: The Engine to Future Cities–A Reflective Case Study in Urban Transport. Sustainability, 14(3), pp. 1727. DOI
  11. Reades, J. and Crookston, M. (2021). Face-to-Face and Central Place: Covid and the Prospects for Cities. Built Environment, 47(3), pp. 326–335. DOI
  12. Reades, J. and Rey, S. J. (2021). Geographical Python teaching resources: geopyter. Journal of Geographical Systems, 23(4), pp. 579–597. DOI
  13. Hubbard, P., Reades, J. and Walter, H. (2021). Shrinking homes, COVID-19 and the challenge of homeworking. Town Planning Review, 92(1), pp. 3–10. DOI
  14. Reades, J. (2020). Teaching on jupyter. Region: the journal of ERSA, 7(1), pp. 21–34. DOI
  15. Reades, J., De Souza, J. and Hubbard, P. (2019). Understanding urban gentrification through machine learning. Urban Studies, 56(5), pp. 922–942. DOI
  16. Demšar, U., Reades, J., Manley, E. and Batty, M. (2018). Revisiting the Past: Replicating Fifty-Year-Old Flow Analysis Using Contemporary Taxi Flow Data. Annals of the American Association of Geographers, 108(3), pp. 811-828. DOI
  17. Hamnett, C. and Reades, J. (2018). Mind the gap: implications of overseas investment for regional house price divergence in Britain. Housing Studies, pp. 1–19. DOI
  18. Arribas-Bel, D. and Reades, J. (2018). Geography and computers: Past, present, and future. Geography Compass, 12, pp. e12403. DOI
  19. Herrick, C. and Reades, J. (2016). Mapping university global health partnerships. The Lancet Global Health, 4(10), pp. e694. DOI
  20. Reades, J., Zhong, C., Manley, E., Milton, R. and Batty, M. (2016). Finding pearls in London’s oysters. Built Environment, 42(3), pp. 365–381. DOI
  21. Reades, J. and Smith, D. (2014). Mapping the ‘Space of Flows’: the geography of global business telecommunications and employment specialisation in the London Mega-City Region. Regional Studies, 48(1), pp. 105–126. DOI
  22. Ferrari, L., Berlingerio, M., Calabrese, F. and Reades, J. (2014). Improving the accessibility of urban transportation networks for people with disabilities. Transportation Research Part C: Emerging Technologies, 45, pp. 27–40. DOI
  23. Reades, J., Desrochers, P. and Ford, H. (2013). Review: Naked City: The Death and Life of Authentic Urban Places, the Urban Wisdom of Jane Jacobs, Code/Space: Software and Everyday Life. Environ Plann B Plann Des, 40(4), pp. 755–760. DOI
  24. Lewis, D., Tranos, E., Reades, J., Birtchnell, T., Flew, T., Bivand, R. and O’Brien, O. (2013). Review: Mobilities and Health, Complexity, Cognition and the City, Reinventing the Automobile: Personal Urban Mobility for the 21st Century, Societies in Motion: Innovation, Migration and Regional Transformation, Suburbanization in Global Society, Spatial Statistics: Geospatial Information Modeling and Thematic Mapping, City Cycling. Environ Plann B Plann Des, 40(1), pp. 182–190. DOI
  25. Reades, J. (2013). Mapping changes in the affordability of London with open-source software and open data: 1997–2012. Regional Studies, Regional Science, 1(1), pp. 336–338. DOI
  26. Batty, M., Vargas, C., Smith, D., Serras, J., Reades, J. and Johansson, A. (2013). SIMULACRA: fast land-use–transportation models for the rapid assessment of urban futures. Environ. Plann. B, 40(6), pp. 987–1002. DOI
  27. Calabrese, F., Di Lorenzo, G., Reades, J. and Ratti, C. (2012). Predicting Personal Mobility with Individual and Group Travel Histories. Environment and Planning B. DOI
  28. Ratti, C., Sobolevsky, S., Calabrese, F., Andris, C., Reades, J., Martino, M., Claxton, R. and Strogatz, S. H. (2010). Redrawing the map of Great Britain from a network of human interactions. PLoS One, 5(12), pp. 1–6. DOI
  29. Reades, J. (2010). Finite State Machines: Preserving Privacy When Data-Mining Cellular Phone Networks. Journal of Urban Technology, 17(1), pp. 29-40. DOI
  30. Calabrese, F., Reades, J. and Ratti, C. (2010). Eigenplaces: Segmenting Space through Digital Signatures. IEEE Pervasive Computing, 9(1), pp. 78-84. DOI
  31. Reades, J., Calabrese, F. and Ratti, C. (2009). Eigenplaces: analysing cities using the space-time structure of the mobile phone network. Environment and Planning B, 36(5), pp. 824-836. DOI
  32. Reades, J., Calabrese, F., Sevtsuk, A. and Ratti, C. (2007). Cellular census: Explorations in urban data collection. IEEE Pervasive Computing, 6(3), pp. 30-38. DOI

Books2Top ↑

  1. (2022). Handbook of Spatial Analysis in the Social Sciences. Edward Elgar Publishing. DOI
  2. Reades, J. and Crookston, M. (2021). Why face-to-face still matters: The persistent power of cities in the post-pandemic era. Policy Press.

Book chapters5Top ↑

  1. Reades, J. (2022). Chapter 2: Locating spatial data in the social sciences. Handbook of Spatial Analysis in the Social Sciences, pp. 16 - 35. DOI
  2. Pettit, C., Wentz, E., Randolph, B., Sanderson, D., Kelly, F., Beevers, S. and Reades, J. (2020). Tackling the challenge of growing cities: An informed urbanisation approach. Open Cities | Open Data, pp. 197–219. DOI
  3. Cheshire, J., Batty, M., Reades, J., Longley, P., Manley, E. and Milton, R. (2019). CyberGIS for Analyzing Urban Data. CyberGIS for Geospatial Discovery and Innovation, pp. 33–52. DOI
  4. Petit, C., Ticzon, C., Reades, J., Wentz, E., Ong, P., Martin, C., Troy, L. and Crommelin, L. (2018). How Disruptive Technology is impacting the housing and property markets: An examination of Airbnb. Real Estate and GIS. DOI
  5. Reades, J. (2016). Location and Innovation. Sir Peter Hall: Pioneer in Regional Planning, Transport and Urban Geography, pp. 21–35. DOI

Report chapters1Top ↑

  1. Claxton, R., Reades, J. and Anderson, B. (2012). On the Value of Digital Traces for Commercial Strategy and Public Policy: Telecommunications Data as a Case Study. The Global Information Technology Report 2012, pp. 105–112.

Reports2Top ↑

  1. Reades, J. (2016). Why the future of geography is cheap. Royal Geographical Society.
  2. Batty, M., Vargas, C., Smith, D., Serras, J., Reades, J. and Johannson, A. (2011). Visually-intelligible land use transportation models for the rapid assessment of urban futures. CASA. Link

Theses1Top ↑

  1. Reades, J. (2011). The Place of Telecommunications: Spatial Decision-Making by Firms in the Age of Global Communications. University College London.

Conference papers1Top ↑

  1. Greener, R., Lewis, D., Reades, J., Miles, S. and Cummins, S. (2022). Incorporating social norms into a configurable agent-based model of the decision to perform commuting behaviour. CEUR Workshop Proceedings, 3173, pp. 175–193.

Software3Top ↑

  1. Filipe, Journois, M., Frank, Story, R., Gardiner, J., Rump, H., Bird, A., Lima, A., Cano, J., dbf, Leonel, J., Sampson, T., Baker, J., Welsh, B., Reades, J., Komarov, O., Kong, Q., odovad, Dumas, R., Harris, G., Crosby, A., Furtado, L., kenmatsu4, Nogueira, T. P., Wilson, N., penguindustin, Kato, D., Signell, R., Duke, J. and Patil, A. (2020). python-visualization/folium: v0.11.0. DOI
  2. Reades, J. and Rey, S. (2020). Geopyter.
  3. Reades, J. (2011). MapThing. Processing Foundation.

Book reviews1Top ↑

  1. Reades, J. (2011). Handbook of research on cluster theory. SAGE Publications Ltd. DOI

Other outputs1Top ↑

  1. Batty, M., Manley, E., Milton, R. and Reades, J. (2013). Smart London. Ubiquity Press, Ltd.. DOI

Talks33Top ↑

  1. Reades, J. (2026). What the Model Throws Away: Critical thinking about data, space & AI. BITES 2026: 1st International Summer School on Biosciences, Informatics, Tourism, Engineering and Sustainability, Molise, Italy.
  2. Williams, J. and Reades, J. (2025). Innovation in UK Academia: the Role of PhD Abstracts. Regional Studies Association (RSA).
  3. Reades, J. and MacLachlan, A. (2025). From Reproducible Research to Teaching, and Back. ARC Festival. Slides
  4. Batty, M. and Reades, J. (2025). Digital Twins in City Planning. ARC Festival. Slides
  5. Reades, J. and Crookston, M. (2025). Life and Work: Face-to-Face and the Post-Covid City. Carter Jonas.
  6. Reades, J. (2024). Growing Your Data Pipeline. Internal research seminar.
  7. Reades, J. (2024). Counting the cost of gentrification?.
  8. Reades, J. (2023). Building Foundations: Reproducible (Geographic) Data Science. Teaching Reproducible Research and Open Science Conference, Sheffield. Slides
  9. Reades, J. (2023). Building Foundations: Pythonic (Geo)Data Science from the Ground Up.
  10. Reades, J., Williams, J. and Sheppard, L. (2023). Digital Footprints in Mountains of Data. Mapping the Terrain conference.
  11. Reades, J. and Williams, J. (2022). Comparing automated document classification using word embeddings to expert-assigned Dewey Decimal classifications. DCDC 2022. Slides
  12. Reades, J. (2022). Why Face-to-Face Still Matters. CLC 2022.
  13. Reades, J., Lansley, G., Hubbard, P. and Lees, L. (2020). Tracking Displacement with Linked Consumer and Administrative Records.
  14. Walter, H., Hubbard, P. and Reades, J. (2020). Permitted Development & the Pandemic: Unanticipated Consequences of Shrinking Homes in London.
  15. Reades, J. (2019). Robust, Reproducible, Open Geodata Analysis.
  16. Reades, J. (2018). Open GIScience (Discussant).
  17. Reades, J. (2018). Predicting Gentrification with Machine Learning.
  18. Reades, J. and Rey, S. (2017). GeoPyTeR: Geographical Python Teaching Resources.
  19. Millington, J. and Reades, J. (2016). Geocup: First Release.
  20. Reades, J. (2016). Geocomputation: the next 20 years.
  21. Reades, J. (2015). PollEverywhere: trick or treat?.
  22. Reades, J. (2014). London Calling? Knowledge industries of the Greater Southeast of England.
  23. Demsar, U., Reades, J., Batty, M. and Manley, E. (2014). Edge-based communities for the identification of functional regions in a taxi flow network.
  24. Reades, J. (2013). Global Metropolises & Mega-city Regions.
  25. Reades, J. (2012). Mapping the ‘Space of Flows’: the geography of global business telecommunications and employment specialisation in the London Mega-City Region.
  26. Reades, J. and Cheshire, J. (2012). Calling Time on the Census? Using surnames and telecoms for population geography.
  27. Batty, M. and Reades, J. (2012). Disruption in Large Transit Systems.
  28. Reades, J. (2012). Proximity, Knowledge Work & Telecommunications.
  29. Reades, J. and Serras, J. (2012). Understanding Transport Networks: Supply & Demand.
  30. READES, J. and Smith, D. (2011). Telecommunications in Urban & Regional Analysis.
  31. Reades, J. (2011). Dynamics of the Knowledge Economy: How flows enable us to understand urban economies.
  32. Reades, J. (2008). People, Places & Privacy.
  33. Reades, J., Calabrese, F., Sevtsuk, A. and Ratti, C. (2007). Towards a Cellular Census?.