Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations

Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault, Benjamin Bach, Rita Borgo, Min Chen, Jessica Enright, Hui Fang, Elif E. Firat, Euan Freeman, Tuna Gonen, Claire Harris, Radu Jianu, Nigel W. John, Saiful Khan, Andrew Lahiff, Robert S. Laramee, Louise Matthews, Sibylle Mohr, Phong H. NguyenAlma A. M. Rahat, Richard Reeve, Panagiotis D. Ritsos, Jonathan C. Roberts, Aidan Slingsby, Ben Swallow, Thomas Torsney-Weir, Cagatay Turkay, Robert Turner, Franck P. Vidal, Qiru Wang, Jo Wood, Kai Xu

Research output: Contribution to journal › Article

2 results

Finished
RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
Bach, B.
EPSRC
1/02/21 → 31/01/22
Project: Research
Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science
Boden, L.
STFC
1/01/21 → 30/06/22
Project: Research

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations

Projects

Search results

RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19

Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science