RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses

Min Chen; Alfie Abdul-Rahman; Daniel Archambault; Jason Dykes; Panagiotis D. Ritsos; Aidan Slingsby; Thomas Torsney-Weir; Cagatay Turkay; Benjamin Bach; Rita Borgo; Alys  Brett; Hui Fang; Radu Jianu; Saiful Khan; Robert S. Laramee; Louise Matthews; Phong H. Nguyen; Richard Reeve; Jonathan C. Roberts; Franck Vidal; Qiru Wang; Jo Wood; Kai Xu

RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses

Min Chen
, Alfie Abdul-Rahman
, Daniel Archambault
, Jason Dykes
, Panagiotis D. Ritsos
, Aidan Slingsby
, Thomas Torsney-Weir
, Cagatay Turkay
, Benjamin Bach
, Rita Borgo
, Alys Brett
, Hui Fang
, Radu Jianu
, Saiful Khan
, Robert S. Laramee
, Louise Matthews
, Phong H. Nguyen
, Richard Reeve
, Jonathan C. Roberts
, Franck Vidal

Qiru Wang, Jo Wood, Kai Xu

Ysgol Cyfrifiadureg a Pheirianneg

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

Crynodeb

In this bulletin video, we summarize the volunteering activities of a group of visualization researchers who provided support to epidemiological modeling during the COVID-19 pandemic. Epidemiological modeling during a pandemic is a complex and continuous process. The intraoperative workflow entails different visualization tasks at four different levels, i.e., disseminative, observational, analytical, and model-developmental visualization. The visualization volunteers were organized into seven teams, including a generic support team, an analytical support team, a disseminative visualization team, and four modeling support teams. During the volunteering activities, we encountered a few major challenges. We made an effort to address these challenges and gained useful experience.

Iaith wreiddiol	Saesneg
Teitl	IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)
Cyhoeddwr	IEEE
Statws	Cyhoeddwyd - Hyd 2023
Digwyddiad	IEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Awstralia Hyd: 22 Hyd 2023 → 27 Hyd 2023 https://ieeevis.org/year/2023/welcome

Cynhadledd

Cynhadledd	IEEE VIS: Visualization & Visual Analytics
Teitl cryno	IEEE VIS
Gwlad/Tiriogaeth	Awstralia
Dinas	Melbourne
Cyfnod	22/10/23 → 27/10/23
Cyfeiriad rhyngrwyd	https://ieeevis.org/year/2023/welcome

Ffeiliau eraill a chysylltiadau

https://vis4pandemres.github.io/bulletins/

1 Wedi Gorffen

RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
Vidal, F. (PY)
1/02/21 → 1/08/22
Project: Ymchwil

1 Erthygl

RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses
Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Slingsby, A., Ritsos, P. D., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R. S., Nguyen, P. H., Reeve, R., Roberts, J. C., Vidal, F. & Wang, Q. & 2 eraill, Wood, J. & Xu, K., Meh 2022, Yn: Epidemics. 39, 15 t., 100569.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Mynediad agored
Ffeil
242 Wedi eu Llwytho i Lawr (Pure)

Dyfynnu hyn

Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P. D., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R. S., Matthews, L., Nguyen, P. H., Reeve, R., Roberts, J. C., ... Xu, K. (2023). RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses. Yn IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes) IEEE.

@inproceedings{4a48c721ee304ccfa8312bb558dcf88b,

title = "RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses",

abstract = "In this bulletin video, we summarize the volunteering activities of a group of visualization researchers who provided support to epidemiological modeling during the COVID-19 pandemic. Epidemiological modeling during a pandemic is a complex and continuous process. The intraoperative workflow entails different visualization tasks at four different levels, i.e., disseminative, observational, analytical, and model-developmental visualization. The visualization volunteers were organized into seven teams, including a generic support team, an analytical support team, a disseminative visualization team, and four modeling support teams. During the volunteering activities, we encountered a few major challenges. We made an effort to address these challenges and gained useful experience.",

keywords = "Visualization, Visual Analytics, COVID-19 responses, epidemiological modeling, volunteering operation",

author = "Min Chen and Alfie Abdul-Rahman and Daniel Archambault and Jason Dykes and Ritsos, \{Panagiotis D.\} and Aidan Slingsby and Thomas Torsney-Weir and Cagatay Turkay and Benjamin Bach and Rita Borgo and Alys Brett and Hui Fang and Radu Jianu and Saiful Khan and Laramee, \{Robert S.\} and Louise Matthews and Nguyen, \{Phong H.\} and Richard Reeve and Roberts, \{Jonathan C.\} and Franck Vidal and Qiru Wang and Jo Wood and Kai Xu",

year = "2023",

month = oct,

language = "English",

booktitle = "IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)",

publisher = "IEEE",

note = "IEEE VIS: Visualization \& Visual Analytics : IEEE VIS 2023, IEEE VIS ; Conference date: 22-10-2023 Through 27-10-2023",

url = "https://ieeevis.org/year/2023/welcome",

}

Chen, M, Abdul-Rahman, A, Archambault, D, Dykes, J, Ritsos, PD, Slingsby, A, Torsney-Weir, T, Turkay, C, Bach, B, Borgo, R, Brett, A, Fang, H, Jianu, R, Khan, S, Laramee, RS, Matthews, L, Nguyen, PH, Reeve, R, Roberts, JC , Vidal, F, Wang, Q, Wood, J & Xu, K 2023, RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses. yn IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes). IEEE, IEEE VIS: Visualization & Visual Analytics, Melbourne, Awstralia, 22/10/23.

RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses. / Chen, Min; Abdul-Rahman, Alfie; Archambault, Daniel et al.
IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes). IEEE, 2023.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i Gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses

AU - Chen, Min

AU - Abdul-Rahman, Alfie

AU - Archambault, Daniel

AU - Dykes, Jason

AU - Ritsos, Panagiotis D.

AU - Slingsby, Aidan

AU - Torsney-Weir, Thomas

AU - Turkay, Cagatay

AU - Bach, Benjamin

AU - Borgo, Rita

AU - Brett, Alys

AU - Fang, Hui

AU - Jianu, Radu

AU - Khan, Saiful

AU - Laramee, Robert S.

AU - Matthews, Louise

AU - Nguyen, Phong H.

AU - Reeve, Richard

AU - Roberts, Jonathan C.

AU - Vidal, Franck

AU - Wang, Qiru

AU - Wood, Jo

AU - Xu, Kai

PY - 2023/10

Y1 - 2023/10

N2 - In this bulletin video, we summarize the volunteering activities of a group of visualization researchers who provided support to epidemiological modeling during the COVID-19 pandemic. Epidemiological modeling during a pandemic is a complex and continuous process. The intraoperative workflow entails different visualization tasks at four different levels, i.e., disseminative, observational, analytical, and model-developmental visualization. The visualization volunteers were organized into seven teams, including a generic support team, an analytical support team, a disseminative visualization team, and four modeling support teams. During the volunteering activities, we encountered a few major challenges. We made an effort to address these challenges and gained useful experience.

AB - In this bulletin video, we summarize the volunteering activities of a group of visualization researchers who provided support to epidemiological modeling during the COVID-19 pandemic. Epidemiological modeling during a pandemic is a complex and continuous process. The intraoperative workflow entails different visualization tasks at four different levels, i.e., disseminative, observational, analytical, and model-developmental visualization. The visualization volunteers were organized into seven teams, including a generic support team, an analytical support team, a disseminative visualization team, and four modeling support teams. During the volunteering activities, we encountered a few major challenges. We made an effort to address these challenges and gained useful experience.

KW - Visualization

KW - Visual Analytics

KW - COVID-19 responses

KW - epidemiological modeling

KW - volunteering operation

UR - https://vis4pandemres.github.io/bulletins/

M3 - Conference contribution

BT - IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)

PB - IEEE

T2 - IEEE VIS: Visualization & Visual Analytics

Y2 - 22 October 2023 through 27 October 2023

ER -

RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses

Crynodeb

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

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RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses

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