S
Simone D. Langhans
Researcher at University of Otago
Publications - 59
Citations - 2950
Simone D. Langhans is an academic researcher from University of Otago. The author has contributed to research in topics: Biodiversity & Freshwater ecosystem. The author has an hindex of 21, co-authored 52 publications receiving 1724 citations. Previous affiliations of Simone D. Langhans include University of Queensland & Leibniz Association.
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The role of artificial intelligence in achieving the Sustainable Development Goals
Ricardo Vinuesa,Hossein Azizpour,Iolanda Leite,Madeline Balaam,Virginia Dignum,Sami Domisch,Anna Felländer,Simone D. Langhans,Max Tegmark,Francesco Fuso Nerini +9 more
TL;DR: In this paper, the authors assess the impact of artificial intelligence on the achievement of the Sustainable Development Goals (SDGs) by using Artificial Intelligence (AI) and its progressively wider impact on many sectors.
Journal ArticleDOI
The role of artificial intelligence in achieving the Sustainable Development Goals
Ricardo Vinuesa,Hossein Azizpour,Iolanda Leite,Madeline Balaam,Virginia Dignum,Sami Domisch,Anna Felländer,Simone D. Langhans,Max Tegmark,Francesco Fuso Nerini +9 more
TL;DR: Using a consensus-based expert elicitation process, it is found that AI can enable the accomplishment of 134 targets across all the goals, but it may also inhibit 59 targets.
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The role of timing, duration, and frequency of inundation in controlling leaf litter decomposition in a river-floodplain ecosystem (Tagliamento, northeastern Italy)
TL;DR: It is suggested that modifications of the inundation regime will directly modify established decomposition processes, whereas a decrease in flow variation will reduce leaf breakdown heterogeneity.
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Conservation Research Is Not Happening Where It Is Most Needed.
Kerrie A. Wilson,Nancy A. Auerbach,Katerina Sam,Ariana G. Magini,Alexander St. L. Moss,Simone D. Langhans,Sugeng Budiharta,Sugeng Budiharta,Dilva Terzano,Erik Meijaard +9 more
TL;DR: It is revealed that comparatively less research is undertaken in the world’s most biodiverse countries, the science conducted in these countries is often not led by researchers based in-country, and these scientists are also underrepresented in important international fora.
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The conceptual foundation of environmental decision support
TL;DR: It is argued that a combination of probability theory and scenario planning with multi-attribute utility theory fulfills these requirements, and adaptations and extensions of these theories to improve their application for supporting environmental decision making are discussed.