TMCF workshop series: Prediction algorithms with a causal interpretation (online event)
Wednesday 06 May 2020
Time: 11:00 - 16:30
Search
Visualisation (Programming languages)
Prediction algorithms with a causal interpretation
Monday 10 Feb 2020 - Wednesday 19 Feb 2020
Time: 09:00 - 17:00
Building a future for the urban analytics blueprint
Wednesday 16 Oct 2019 - Friday 18 Oct 2019
Time: 10:00 - 17:00
Visualization for data science and AI
Friday 13 Sep 2019
Time: 09:45 - 18:30
Fellow Short Talks - Tomas Petricek, Maria Liakata & Gian Marco Campagnolo
Thursday 01 Dec 2016
Time: 17:37
Projects
Environmental Data Science Book (EDS Book)
A computational notebook community for open environmental science
Pilot with authority for the financial markets
Developing an agent-based market simulator that can be used to test policy hypotheses
Input-output analytics for urban systems
Investigating inter-city trade flows in contemporary and historical contexts
Quantitative Urban ANalyTics (QUANT)
A land use transportation model simulating the location of employment, population and transport interactions
Machines reading maps
Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data
Multimorbidity phenotyping in cardiovascular disease
Developing statistical machine learning tools to investigate longitudinal multi-disease trajectories
Programmes
Publications and software
Optimizing for Equity: Sensor Coverage, Networks, and the Responsive City
Decisions about sensor placement in cities are inherently complex, balancing social-technical, digital, and structural...
Caitlin Robinson, Rachel S. Franklin & Jack Roberts (2022) Optimizing for Equity: Sensor Coverage, Networks, and the Responsive City, Annals of the American Association of Geographers, 112:8, 2152-2173, DOI: 10.1080/24694452.2022.2077169
Data Study Group Final Report: Roche
Personalised lung cancer treatment modelling using electronic health records and genomics
Data Study Group team. (2020, June 4). Data Study Group Final Report: Roche. Zenodo. http://doi.org/10.5281/zenodo.3876989
Data Study Group Final Report: Imperial College London, Los Alamos National Laboratory, Heilbronn Institute
Developing data science tools for improving enterprise cyber-security
Data Study Group team. (2019, November 29). Data Study Group Final Report: Imperial College London, Los Alamos National Laboratory, Heilbronn Institute. Zenodo. http://doi.org/10.5281/zenodo.3558251
Data Study Group Final Report: Accenture
Fairness in algorithmic decision-making
Data Study Group team. (2019, February 5). Data Study Group Final Report: Accenture. Zenodo. http://doi.org/10.5281/zenodo.2557795
Articles
Events
TMCF workshop series: Prediction algorithms with a causal interpretation (online event)
Wednesday 06 May 2020
Time: 11:00 - 16:30
Building a future for the urban analytics blueprint
Wednesday 16 Oct 2019 - Friday 18 Oct 2019
Time: 10:00 - 17:00
Visualization for data science and AI
Friday 13 Sep 2019
Time: 09:45 - 18:30
Fellow Short Talks - Tomas Petricek, Maria Liakata & Gian Marco Campagnolo
Thursday 01 Dec 2016
Time: 17:37
Impact stories
Interest groups
People
Dr Noushin Eftekhari
Research Associate
Dr Thijs van der Plas
Postdoctoral Research Associate
Tao Wen
Enrichment Student
Lara Johnson
Enrichment Student
Guodong Ju
Enrichment Student
Daniel Guerrero Romero
Enrichment Student
Dr Martin Stoffel
Research Data Scientist
Nouran Khallaf
Enrichment Student