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

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

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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

HarvardHarvard

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.

APA

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.

CBE

Chen M, Abdul-Rahman A, Archambault D, Dykes J, Ritsos PD, Slingsby A, Torsney-Weir T, Turkay C, Bach B, Borgo R, et al. 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.

MLA

Chen, Min et al. "RAMPVIS: Answering the Challenges of Building Visualization Capabilities for Large-scale Emergency Responses". IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes). IEEE. 2023.

VancouverVancouver

Chen M, Abdul-Rahman A, Archambault D, Dykes J, Ritsos PD, Slingsby A et al. 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. 2023

Author

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

RIS

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 -