Citizen participation and machine learning for a better democracy
Friday 07 Feb 2020
Time: 13:00 - 18:00
Search
Visualisation (Computer systems & architectures)
Reliability and reproducibility in computational science
Friday 24 Jan 2020
Time: 09:30 - 17:00
Creativity and design in AI
Monday 18 Nov 2019
Time: 15:00 - 17:30
Provenance, security & machine learning
Monday 11 Nov 2019
Time: 09:45 - 17:30
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
Towards Autonomous Robotic Systems Conference (TAROS)
Wednesday 03 Jul 2019 - Friday 05 Jul 2019
Time: 09:00 - 18:00
Urban analytics at the interface between environment, human health and behaviour
Tuesday 02 Jul 2019 - Thursday 04 Jul 2019
Time: 09:00 - 18:00
Geospatial Standards for Data Science
Tuesday 12 Mar 2019
Time: 14:30 - 17:30
Projects
CROP: the Crop Research Observation Platform
A prototype digital twin of the Growing Underground underground farm operated by Zero Carbon Farms Ltd
Quantitative Urban ANalyTics (QUANT)
A land use transportation model simulating the location of employment, population and transport interactions
Disease trajectories following a heart attack
Investigating the use of process mining techniques to understand disease pathways amongst 145 million hospitalisation records
Environment and sustainability
Using data science and AI to tackle environmental and climate challenges
Supporting Pangeo: the community-driven platform for Big Data geoscience
Aligning efforts with the environmental data science community, the Met Office and Microsoft to support Pangeo, the growing international platform for Big Data geoscience
WAYS: What aren’t you seeing?
Enhancing everyday visualisation practice through generative and evaluative design tools for data scientists
DECOVID
Using detailed, frequently updated health data in a secure database, providing up to date information about patient care during the COVID-19 pandemic
Programmes
Publications and software
Content-Aware Automated Parameter Tuning for Approximate Colour Transforms
There are numerous approximate colour transforms reported in the literature that aim to reduce...
Samarakoon, Chatura, Gehan Amaratunga, and Phillip Stanley-Marbell. "Content-Aware Automated Parameter Tuning for Approximate Color Transforms." ArXiV preprint arXiv:2007.00494 (2020) / 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI).
Inferring Human Observer Spectral Sensitivities from Video Game Data
With the use of primaries which have increasingly narrow bandwidths in modern displays, observer...
Samarakoon, Chatura, Gehan Amaratunga, and Phillip Stanley-Marbell. "Inferring Human Observer Spectral Sensitivities from Video Game Data." arXiv preprint arXiv:2007.00490 (2020).
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
Events
Citizen participation and machine learning for a better democracy
Friday 07 Feb 2020
Time: 13:00 - 18:00
Reliability and reproducibility in computational science
Friday 24 Jan 2020
Time: 09:30 - 17:00
Creativity and design in AI
Monday 18 Nov 2019
Time: 15:00 - 17:30
Provenance, security & machine learning
Monday 11 Nov 2019
Time: 09:45 - 17:30
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
Towards Autonomous Robotic Systems Conference (TAROS)
Wednesday 03 Jul 2019 - Friday 05 Jul 2019
Time: 09:00 - 18:00
Urban analytics at the interface between environment, human health and behaviour
Tuesday 02 Jul 2019 - Thursday 04 Jul 2019
Time: 09:00 - 18:00
Geospatial Standards for Data Science
Tuesday 12 Mar 2019
Time: 14:30 - 17:30
Interest groups
Interpretation, modelling and verification of information
How data science and artificial intelligence help people understand/handle information correctly?
Media in the digital age
What are some of the key opportunities and challenges in the current mediasphere, and how can scientific innovation help?
Developing best practice for collecting cybersecurity data
How do we get the best quality relevant and appropriate data for researching cybersecurity?
Environment and sustainability
What role can data science and AI play in addressing the challenges associated with environmental change?
People
Dr Noushin Eftekhari
Research Associate
Wei Nie
Enrichment Student
Gizem Esra Unlu
Enrichment Student
Daniel Guerrero Romero
Enrichment Student
Dr Kristina Ulicna
Research Associate
Ashleigh Myall
Enrichment Student
Jennifer Sykes
Enrichment Student
Ayça Atabey
Enrichment Student