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 VidalQiru Wang, Jo Wood, Kai Xu

School of Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)
Publisher	IEEE
Publication status	Published - Oct 2023
Event	IEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia Duration: 22 Oct 2023 → 27 Oct 2023 https://ieeevis.org/year/2023/welcome

Conference

Conference	IEEE VIS: Visualization & Visual Analytics
Abbreviated title	IEEE VIS
Country/Territory	Australia
City	Melbourne
Period	22/10/23 → 27/10/23
Internet address	https://ieeevis.org/year/2023/welcome

Keywords

Visualization
Visual Analytics
COVID-19 responses
epidemiological modeling
volunteering operation

Cite this

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. In 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. in IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes). IEEE, IEEE VIS: Visualization & Visual Analytics, Melbourne, Australia, 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Conference

Keywords

Other files and links

Fingerprint

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

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

Cite this

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

Abstract

Conference

Keywords

Other files and links

Fingerprint

Projects

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

Research output

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

Cite this