Published February 28, 2022
| Version V2.0
Software
Open
RAMP-VIS/RAMPVIS-PhilTransA-Supplement: RAMPVIS_PhilTransA_Supplement_v2.0
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 second release of the RAMPVIS PhilTransA Supplement with Observable Notebooks of the Idioms after revisions are made in response to the review comments from the first round of review.
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-V2.0.zip
Files
(99.3 MB)
| Name | Size | Download all |
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md5:35d324d1ec43fde0a532bc2971e2ba8f
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99.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/RAMP-VIS/RAMPVIS-PhilTransA-Supplement/tree/V2.0 (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