Multidimensional well-being of US households at a fine spatial scale using fused household surveys.

Autor: Ummel K; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Poblete-Cazenave M; VU Amsterdam, Institute for Environmental Studies (IVM), Amsterdam, 1081, Netherlands. m.a.poblete.cazenave@vu.nl.; International Institute for Applied Systems Analysis (IIASA), Energy, Climate, and Environment Program, Laxenburg, A-2361, Austria. m.a.poblete.cazenave@vu.nl., Akkiraju K; Yale University, School of the Environment, New Haven, 06511, USA., Graetz N; Princeton University, Princeton, 08544, USA., Ashman H; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Kingdon C; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Herrera Tenorio S; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Singhal AS; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Cohen DA; University of California, Berkeley, Socio-Spatial Climate Collaborative, Berkeley, 94720, USA., Rao ND; International Institute for Applied Systems Analysis (IIASA), Energy, Climate, and Environment Program, Laxenburg, A-2361, Austria.; Yale University, School of the Environment, New Haven, 06511, USA.

Publikováno v: Scientific data [Sci Data] 2024 Jan 29; Vol. 11 (1), pp. 142. Date of Electronic Publication: 2024 Jan 29.

Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century

Autor: Rovenskaya, E., Aghababaei Samani, K., Baklanov, A., Ermolieva, T., Folberth, C., Fritz, S., Hadi, H., Javalera Rincón, V., Krasovskii, A., Laurien, F., Poblete Cazenave, M., Schinko, T., Smilovic, M., Zebrowski, P.

This paper overviews research being done at IIASA with use of machine learning (ML) methods. We elaborate on promising areas of application and advantages and challenges of using ML. These reflections are done as a part of strategic planning process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3535::c9cd78a19c4e4e49308d8faf853dc2a8
https://pure.iiasa.ac.at/id/eprint/16121/

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Simulating the Long-Term Impacts of the COVID-19 Pandemic on the Sustainability of the Population-Economy-Environment Nexus.

Autor: Poblete-Cazenave M; International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria.

Publikováno v: Economics of disasters and climate change [Econ Disaster Clim Chang] 2021; Vol. 5 (3), pp. 415-430. Date of Electronic Publication: 2021 Aug 26.