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Advances Of International Collaboration On M9 Disaster Science: Scientific Session Report

CITE Title : Advances Of International Collaboration On M9 Disaster Science: Scientific Session Report Personal Author(s) : Maly, Elizabeth;Terada, Kenjiro;Leveque, Randall J.;Kuriyama, Naoko;Abramson, Daniel B.;Nguyen, Lan T.;Bostrom, Ann;León, Jorge;Motley, Michael;Catalan, Patricio A.;Koshimura, Shunichi;Moriguchi, Shuji;Yamaguchi, Yuya;Garrison-Laney, Carrie;Suppasri, Anawat;Mas, Erick; Published Date : 2020 Source : J. Disaster Res., Vol.15, No.7, pp. 890-899, 2020 DOI : https://doi.org/10.20965/jdr.2020.p0890 Journal Title : Journal of Disaster Research Maly, Elizabeth et al. (2020). Advances Of International Collaboration On M9 Disaster Science: Scientific Session Report. 15(7). https://doi.org/10.20965/jdr.2020.p0890 Maly, Elizabeth et al. "Advances Of International Collaboration On M9 Disaster Science: Scientific Session Report" 15, no. 7 (2020), https://doi.org/10.20965/jdr.2020.p0890 Maly, Elizabeth et al. "Advances Of International Collaboration On M9 Disaster Science: Scientific Session Report" vol. 15, no. 7, 2020, https://doi.org/10.20965/jdr.2020.p0890 Export RIS Citation Information.

:

Maly, Elizabeth ;

Terada, Kenjiro

2020 | J. Disaster Res., Vol.15, No.7, pp. 890-899, 2020

:

The goal of the Scientific Session: “Advances of International Collaboration on M9 Disaster Science” at the 2nd World Bosai Forum (WBF) in Sendai ...
Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School

CITE Title : Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School Personal Author(s) : McGovern, Amy;Gagne, David John;Wirz, Christopher D.;Ebert-Uphoff, Imme;Bostrom, Ann;Rao, Yuhan;Schumacher, Andrea;Flora, Montgomery;Chase, Randy;Mamalakis, Antonios;McGraw, Marie;Lagerquist, Ryan;Redmon, Robert J.;Peterson, Taysia; Published Date : 2023 Source : Bulletin of the American Meteorological Society (2023) DOI : https://doi.org/10.1175/BAMS-D-22-0225.1 Journal Title : Bulletin of the American Meteorological Society McGovern, Amy et al. (2023). Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School. https://doi.org/10.1175/BAMS-D-22-0225.1 McGovern, Amy et al. "Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School" (2023), https://doi.org/10.1175/BAMS-D-22-0225.1 McGovern, Amy et al. "Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School" , 2023, https://doi.org/10.1175/BAMS-D-22-0225.1 Export RIS Citation Information.

:

McGovern, Amy ;

Gagne, David John

2023 | Bulletin of the American Meteorological Society (2023)

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Many of our generation’s most pressing environmental science problems are wicked problems, which means they cannot be cleanly isolated and solved wi...
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)

CITE Title : NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) Personal Author(s) : McGovern, Amy;Bostrom, Ann;Davis, Phillip;Demuth, Julie L.;Ebert-Uphoff, Imme;He, Ruoying;Hickey, Jason;Gagne II, David John;Snook, Nathan;Stewart, Jebb Q.;Thorncroft, Christopher;Tissot, Philippe;Williams, John K.; Published Date : 2022 Source : Bulletin of the American Meteorological Society, 103(7), E1658-E1668 DOI : https://doi.org/10.1175/bams-d-21-0020.1 Journal Title : Bulletin of the American Meteorological Society McGovern, Amy et al. (2022). NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). 103(7). https://doi.org/10.1175/bams-d-21-0020.1 McGovern, Amy et al. "NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)" 103, no. 7 (2022), https://doi.org/10.1175/bams-d-21-0020.1 McGovern, Amy et al. "NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)" vol. 103, no. 7, 2022, https://doi.org/10.1175/bams-d-21-0020.1 Export RIS Citation Information.

:

McGovern, Amy ;

Bostrom, Ann

2022 | Bulletin of the American Meteorological Society, 103(7), E1658-E1668

:

We introduce the National Science Foundation (NSF) AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES). ...
Integrated Risk Assessment for the Blue Economy

CITE Title : Integrated Risk Assessment for the Blue Economy Personal Author(s) : Hodgson, Emma E.;Essington, Timothy E.;Samhouri, Jameal F.;Allison, Edward H.;Bennett, Nathan J.;Bostrom, Ann;Cullen, Alison C.;Kasperski, Stephen;Levin, Phillip S.;Poe, Melissa R.; Published Date : 2019 Source : Frontiers in Marine Science, 6 DOI : https://doi.org/10.3389/fmars.2019.00609 Journal Title : Frontiers in Marine Science Hodgson, Emma E. et al. (2019). Integrated Risk Assessment for the Blue Economy. 6https://doi.org/10.3389/fmars.2019.00609 Hodgson, Emma E. et al. "Integrated Risk Assessment for the Blue Economy" 6 (2019), https://doi.org/10.3389/fmars.2019.00609 Hodgson, Emma E. et al. "Integrated Risk Assessment for the Blue Economy" vol. 6, 2019, https://doi.org/10.3389/fmars.2019.00609 Export RIS Citation Information.

:

Hodgson, Emma E. ;

Essington, Timothy E.

2019 | Frontiers in Marine Science, 6

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With the anticipated boom in the ‘blue economy’ and associated increases in industrialization across the world’s oceans, new and complex risks a...
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography

CITE Title : AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography Personal Author(s) : McGovern, Amy;Ebert‐Uphoff, Imme;Barnes, Elizabeth A.;Bostrom, Ann;Cains, Mariana G.;Davis, Phillip;Demuth, Julie L.;Diochnos, Dimitrios I.;Fagg, Andrew H.;Tissot, Philippe;Williams, John K.;Wirz, Christopher D.; Published Date : 2024 Source : AI Magazine, 45(1), 105-110 DOI : https://doi.org/10.1002/aaai.12160 Journal Title : AI Magazine McGovern, Amy et al. (2024). AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. 45(1). https://doi.org/10.1002/aaai.12160 McGovern, Amy et al. "AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography" 45, no. 1 (2024), https://doi.org/10.1002/aaai.12160 McGovern, Amy et al. "AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography" vol. 45, no. 1, 2024, https://doi.org/10.1002/aaai.12160 Export RIS Citation Information.

:

McGovern, Amy

;

Ebert‐Uphoff, Imme

2024 | AI Magazine, 45(1), 105-110

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The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) focuses on creating trustworthy AI for a var...
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences

CITE Title : Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences Personal Author(s) : Bostrom, Ann;Demuth, Julie L.;Wirz, Christopher D.;Cains, Mariana G.;Schumacher, Andrea;Madlambayan, Deianna;Bansal, Akansha Singh;Bearth, Angela;Chase, Randy;Crosman, Katherine M.;Ebert‐Uphoff, Imme;Gagne, David John;Guikema, Seth;Hoffman, Robert;Johnson, Branden B.;Kumler‐Bonfanti, Christina;Lee, John D.;Lowe, Anna;McGovern, Amy;Przybylo, Vanessa;Radford, Jacob T.;Roth, Emilie;Sutter, Carly;Tissot, Philippe;Roebber, Paul;Stewart, Jebb Q.;White, Miranda;Williams, John K.; Published Date : 2023 Source : Risk Analysis, 44(6), 1498-1513 DOI : https://doi.org/10.1111/risa.14245 Journal Title : Risk Analysis Bostrom, Ann et al. (2023). Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences. 44(6). https://doi.org/10.1111/risa.14245 Bostrom, Ann et al. "Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences" 44, no. 6 (2023), https://doi.org/10.1111/risa.14245 Bostrom, Ann et al. "Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences" vol. 44, no. 6, 2023, https://doi.org/10.1111/risa.14245 Export RIS Citation Information.

:

Bostrom, Ann

;

Demuth, Julie L.

2023 | Risk Analysis, 44(6), 1498-1513

:

Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for tr...
National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting

CITE Title : National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting Personal Author(s) : Wirz, Christopher D.;Demuth, Julie L.;Cains, Mariana G.;White, Miranda;Radford, Jacob;Bostrom, Ann; Published Date : 2024 Source : Bulletin of the American Meteorological Society, 105(11), E2194-E2215 DOI : https://doi.org/10.1175/bams-d-24-0044.1 Journal Title : Bulletin of the American Meteorological Society Wirz, Christopher D. et al. (2024). National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting. 105(11). https://doi.org/10.1175/bams-d-24-0044.1 Wirz, Christopher D. et al. "National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting" 105, no. 11 (2024), https://doi.org/10.1175/bams-d-24-0044.1 Wirz, Christopher D. et al. "National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting" vol. 105, no. 11, 2024, https://doi.org/10.1175/bams-d-24-0044.1 Export RIS Citation Information.

:

Wirz, Christopher D.

;

Demuth, Julie L.

2024 | Bulletin of the American Meteorological Society, 105(11), E2194-E2215

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Artificial intelligence and machine learning (AI/ML) have attracted a great deal of attention from the atmospheric science community. The explosion of...
Identifying and Categorizing Bias in AI/ML for Earth Sciences

CITE Title : Identifying and Categorizing Bias in AI/ML for Earth Sciences Personal Author(s) : McGovern, Amy;Bostrom, Ann;McGraw, Marie;Chase, Randy J.;Gagne, David John;Ebert-Uphoff, Imme;Musgrave, Kate D.;Schumacher, Andrea; Published Date : 2024 Source : Bulletin of the American Meteorological Society, 105(3), E567-E583 DOI : https://doi.org/10.1175/bams-d-23-0196.1 Journal Title : Bulletin of the American Meteorological Society McGovern, Amy et al. (2024). Identifying and Categorizing Bias in AI/ML for Earth Sciences. 105(3). https://doi.org/10.1175/bams-d-23-0196.1 McGovern, Amy et al. "Identifying and Categorizing Bias in AI/ML for Earth Sciences" 105, no. 3 (2024), https://doi.org/10.1175/bams-d-23-0196.1 McGovern, Amy et al. "Identifying and Categorizing Bias in AI/ML for Earth Sciences" vol. 105, no. 3, 2024, https://doi.org/10.1175/bams-d-23-0196.1 Export RIS Citation Information.

:

McGovern, Amy ;

Bostrom, Ann

2024 | Bulletin of the American Meteorological Society, 105(3), E567-E583

:

Artificial intelligence (AI) can be used to improve performance across a wide range of Earth system prediction tasks. As with any application of AI, i...
Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods

CITE Title : Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods Personal Author(s) : Wirz, Christopher D.;Sutter, Carly;Demuth, Julie L.;Mayer, Kirsten J.;Chapman, William E.;Cains, Mariana Goodall;Radford, Jacob;Przybylo, Vanessa;Evans, Aaron;Martin, Thomas;Gaudet, Lauriana C.;Sulia, Kara;Bostrom, Ann;Gagne, David John;Bassill, Nick;Schumacher, Andrea;Thorncroft, Christopher; Published Date : 2024 Source : Earth and Space Science, 11(7) DOI : https://doi.org/10.1029/2023ea003364 Journal Title : Earth and Space Science Wirz, Christopher D. et al. (2024). Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods. 11(7). https://doi.org/10.1029/2023ea003364 Wirz, Christopher D. et al. "Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods" 11, no. 7 (2024), https://doi.org/10.1029/2023ea003364 Wirz, Christopher D. et al. "Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods" vol. 11, no. 7, 2024, https://doi.org/10.1029/2023ea003364 Export RIS Citation Information.

:

Wirz, Christopher D.

;

Sutter, Carly

2024 | Earth and Space Science, 11(7)

:

Artificial intelligence (AI) and machine learning (ML) pose a challenge for achieving science that is both reproducible and replicable. The challenge ...
Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness

CITE Title : Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness Personal Author(s) : Cains, Mariana G.;Wirz, Christopher D.;Demuth, Julie L.;Bostrom, Ann;Gagne, David John;McGovern, Amy;Sobash, Ryan A.;Madlambayan, Deianna; Published Date : 2024 Source : Weather and Forecasting, 39(8), 1219-1241 DOI : https://doi.org/10.1175/WAF-D-23-0180.1 Journal Title : Weather and Forecasting Cains, Mariana G. et al. (2024). Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness. 39(8). https://doi.org/10.1175/WAF-D-23-0180.1 Cains, Mariana G. et al. "Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness" 39, no. 8 (2024), https://doi.org/10.1175/WAF-D-23-0180.1 Cains, Mariana G. et al. "Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness" vol. 39, no. 8, 2024, https://doi.org/10.1175/WAF-D-23-0180.1 Export RIS Citation Information.

:

Cains, Mariana G.

;

Wirz, Christopher D.

2024 | Weather and Forecasting, 39(8), 1219-1241

:

As artificial intelligence (AI) methods are increasingly used to develop new guidance intended for operational use by forecasters, it is critical to e...