Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach
Physical and societal risks across the natural, managed, and built environments are becoming increasingly complex, multi-faceted, and compounding. Such risks stem from socio-economic and environmental stresses that co-evolve and force tipping points and instabilities. Robust decision-making necessit...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Frontiers Media SA
2023
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| Online Access: | https://hdl.handle.net/1721.1/153234 |
| _version_ | 1811077565119463424 |
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| author | Schlosser, C. Adam Frankenfeld, Cypress Eastham, Sebastian Gao, Xiang Gurgel, Angelo McCluskey, Alyssa Morris, Jennifer Orzach, Shelli Rouge, Kilian Paltsev, Sergey Reilly, John |
| author2 | Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change |
| author_facet | Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change Schlosser, C. Adam Frankenfeld, Cypress Eastham, Sebastian Gao, Xiang Gurgel, Angelo McCluskey, Alyssa Morris, Jennifer Orzach, Shelli Rouge, Kilian Paltsev, Sergey Reilly, John |
| author_sort | Schlosser, C. Adam |
| collection | MIT |
| description | Physical and societal risks across the natural, managed, and built environments are becoming increasingly complex, multi-faceted, and compounding. Such risks stem from socio-economic and environmental stresses that co-evolve and force tipping points and instabilities. Robust decision-making necessitates extensive analyses and model assessments for insights toward solutions. However, these exercises are consumptive in terms of computational and investigative resources. In practical terms, such exercises cannot be performed extensively—but selectively in terms of priority and scale. Therefore, an efficient analysis platform is needed through which the variety of multi-systems/sector observational and simulated data can be readily incorporated, combined, diagnosed, visualized, and in doing so, identifies “hotspots” of salient compounding threats. In view of this, we have constructed a “triage-based” visualization and data-sharing platform—the System for the Triage of Risks from Environmental and Socio-Economic Stressors (STRESS)—that brings together data across socio-environmental systems, economics, demographics, health, biodiversity, and infrastructure. Through the STRESS website, users can display risk indices that result from weighted combinations of risk metrics they can select. Currently, these risk metrics include land-, water-, and energy systems, biodiversity, as well as demographics, environmental equity, and transportation networks. We highlight the utility of the STRESS platform through several demonstrative analyses over the United States from the national to county level. The STRESS is an open-science tool and available to the community-at-large. We will continue to develop it with an open, accessible, and interactive approach, including academics, researchers, industry, and the general public. |
| first_indexed | 2024-09-23T10:45:03Z |
| format | Article |
| id | mit-1721.1/153234 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:45:03Z |
| publishDate | 2023 |
| publisher | Frontiers Media SA |
| record_format | dspace |
| spelling | mit-1721.1/1532342024-01-24T21:55:24Z Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach Schlosser, C. Adam Frankenfeld, Cypress Eastham, Sebastian Gao, Xiang Gurgel, Angelo McCluskey, Alyssa Morris, Jennifer Orzach, Shelli Rouge, Kilian Paltsev, Sergey Reilly, John Massachusetts Institute of Technology. Joint Program on the Science & Policy of Global Change Massachusetts Institute of Technology. Laboratory for Aviation and the Environment Management, Monitoring, Policy and Law Atmospheric Science Pollution Environmental Science (miscellaneous) Global and Planetary Change Physical and societal risks across the natural, managed, and built environments are becoming increasingly complex, multi-faceted, and compounding. Such risks stem from socio-economic and environmental stresses that co-evolve and force tipping points and instabilities. Robust decision-making necessitates extensive analyses and model assessments for insights toward solutions. However, these exercises are consumptive in terms of computational and investigative resources. In practical terms, such exercises cannot be performed extensively—but selectively in terms of priority and scale. Therefore, an efficient analysis platform is needed through which the variety of multi-systems/sector observational and simulated data can be readily incorporated, combined, diagnosed, visualized, and in doing so, identifies “hotspots” of salient compounding threats. In view of this, we have constructed a “triage-based” visualization and data-sharing platform—the System for the Triage of Risks from Environmental and Socio-Economic Stressors (STRESS)—that brings together data across socio-environmental systems, economics, demographics, health, biodiversity, and infrastructure. Through the STRESS website, users can display risk indices that result from weighted combinations of risk metrics they can select. Currently, these risk metrics include land-, water-, and energy systems, biodiversity, as well as demographics, environmental equity, and transportation networks. We highlight the utility of the STRESS platform through several demonstrative analyses over the United States from the national to county level. The STRESS is an open-science tool and available to the community-at-large. We will continue to develop it with an open, accessible, and interactive approach, including academics, researchers, industry, and the general public. 2023-12-22T15:27:37Z 2023-12-22T15:27:37Z 2023-04-24 Article http://purl.org/eprint/type/JournalArticle 2624-9553 https://hdl.handle.net/1721.1/153234 Schlosser CA, Frankenfeld C, Eastham S, Gao X, Gurgel A, McCluskey A, Morris J, Orzach S, Rouge K, Paltsev S and Reilly J (2023) Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach. Front. Clim. 5:1100600. en_US 10.3389/fclim.2023.1100600 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Frontiers Media SA Frontiers Media SA |
| spellingShingle | Management, Monitoring, Policy and Law Atmospheric Science Pollution Environmental Science (miscellaneous) Global and Planetary Change Schlosser, C. Adam Frankenfeld, Cypress Eastham, Sebastian Gao, Xiang Gurgel, Angelo McCluskey, Alyssa Morris, Jennifer Orzach, Shelli Rouge, Kilian Paltsev, Sergey Reilly, John Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title | Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title_full | Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title_fullStr | Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title_full_unstemmed | Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title_short | Assessing compounding risks across multiple systems and sectors: a socio-environmental systems risk-triage approach |
| title_sort | assessing compounding risks across multiple systems and sectors a socio environmental systems risk triage approach |
| topic | Management, Monitoring, Policy and Law Atmospheric Science Pollution Environmental Science (miscellaneous) Global and Planetary Change |
| url | https://hdl.handle.net/1721.1/153234 |
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