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Designing Decision Support Systems with Interdisciplinary, International Teams: A Case Study of the Environment, Vulnerability, Decision, Technology Model
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  • Seamus Lombardo,
  • Jack Reid,
  • Katlyn Turner,
  • Mulan Jiang,
  • David Lagomasino,
  • Mohammad Jalali,
  • Eric Ashcroft,
  • Danielle Wood
Seamus Lombardo
Massachusetts Institute of Technology

Corresponding Author:seamuslo@mit.edu

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Jack Reid
Massachusetts Institute of Technology
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Katlyn Turner
Massachusetts Institute of Technology
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Mulan Jiang
Massachusetts Institute of Technology
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David Lagomasino
East Carolina University
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Mohammad Jalali
Independent Consultant
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Eric Ashcroft
Blue Raster
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Danielle Wood
Massachusetts Institute of Technology
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Abstract

The Environment-Vulnerability-Decision-Technology (EVDT) integrated modeling framework considers the interactions between the environment, societal impact, human decision-making, and technology design to support decision making. EVDT has been expanded to include a public health model in the Vida Decision Support System, which will help local leaders understand the relationships between societal factors relating to COVID-19. Key to the development of Vida are collaborative design and mutual learning with international and interdisciplinary teams. Collaborations with researchers and government officials (including public health, economics, environmental, and demographic data collection officials) in Angola, Brazil, Chile, Indonesia, Mexico and the United States provide in-depth understanding of local contexts. Lessons learned from these collaborations include the value of dialogues with teams from the same region but different topic areas (such as a space agency compared to a public health agency), allowing for time to learn the best way to combine diverse data types and find the tools each collaborator prefers, and encouraging the use of the preferred language of collaborators. During Vida’s development, each collaborator has worked to create their own version of Vida using local data sources, the US team has provided prototype analyses and models, and collaborators have shared individual insights among the whole network. These partnerships have yielded promising initial results to support decision making, with prototype tools incorporating local data on COVID cases, the environment, and socio-economic factors from Rio De Janeiro and Chile being evaluated. This collaborative design process will develop insights for decision-making, create a network of international collaborators that can exchange technical methods beyond the pandemic, and emphasize the principles of inclusive innovation and decoloniality by submitting to the preferences of local leaders in each country.