Published November 21, 2021
| Version V1.0
Software
Open
RAMP-VIS/RAMPVIS-PhilTransA-Supplement: RAMPVIS_PhilTransA_Supplement_v1.0
Authors/Creators
- Dykes, Jason1
- Abdul-Rahman, Alfie2
- Archambault, Daniel3
- Bach, Benjamin4
- Borgo, Rita2
- Chen, Min5
- Enright, Jess6
- Fang, Hui7
- Firat, Elif8
- Freeman, Euan6
- Gonen, Tuna9
- Harris, Claire10
- Jianu, Radu1
- John, Nigel11
- Khan, Saiful5
- Lahiff, Andrew12
- Laramee, Robert8
- Matthews, Louise6
- Mohr, Sibylle6
- Nguyen, Phong5
- Rahat, Alma3
- Reeve, Richard6
- Ritsos, Panagiotis13
- Roberts, Jonathan13
- Slingsby, Aidan1
- Swallow, Ben6
- Torsney-Weir, Thomas3
- Turkay, Cagatay14
- Turner, Robert15
- Vidal, Franck13
- Wang, Qiru8
- Wood, Jo1
- Xu, Kai16
- 1. City, University of London
- 2. King's College London
- 3. Swansea University
- 4. The University of Edinburgh
- 5. Oxford University
- 6. University of Glasgow
- 7. Loughborough University
- 8. University of Nottingham
- 9. University of Oxford
- 10. Biomathematics and Statistics Scotland
- 11. University of Chester
- 12. United Kingdom Atomic Energy Authority
- 13. Bangor University
- 14. University of Warwick
- 15. The University of Sheffield
- 16. Middlesex University
Description
The first release of the RAMPVIS PhilTransA Supplement with Observable Notebooks of the Idioms.
This is a repository for the collection of immutable, archived versions of the Observable Notebooks to support the RAMPVIS PhilTransA submission :
“Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations”
Files
RAMP-VIS/RAMPVIS-PhilTransA-Supplement-V1.0.zip
Files
(98.7 MB)
| Name | Size | Download all |
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md5:3d9c9ce9571dbd96f0138fb64e58ca86
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98.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/RAMP-VIS/RAMPVIS-PhilTransA-Supplement/tree/V1.0 (URL)
Funding
- UK Research and Innovation
- Open Epidemiology for pandemic modelling: a transparent, traceable, reusable, open source pipeline for reproducible science ST/V006126/1
- UK Research and Innovation
- RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19 EP/V054236/1
- UK Research and Innovation
- Visual Analytics for Explaining and Analysing Contact Tracing Networks EP/V033670/1