Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Vilhelm Verendel

Biographic Data

ID6322662
NAMEVilhelm Verendel
GIVEN NAMESVilhelm
FAMILY NAMEVerendel
SIGNATUREVERENDEL V
AFFILIATIONSChalmers University of Technology
ORCID0000-0001-7979-3450
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS3
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Tracking artificial intelligence in climate inventions with patent data

    Open Access•Vilhelm Verendel•ARTICLE•Nature Climate Change•2023

    Artificial intelligence (AI) is spreading rapidly in many technology areas, and AI inventions may help climate change mitigation and adaptation. Previous studies of climate-related AI mainly rely on expert studies of literature, not large-scale data. Here I present an approach to track the relation between AI and climate inventions on an economy-wide scale. Analysis of over 6 million US patents, 1976 to 2019, shows that within climate patents, AI…

  • Do national strategies under the UN biodiversity and climate conventions address agricultural commodity consumption as deforestation driver

    Open Access•Sabine Henders, Madelene Ostwald et al.•ARTICLE•Land Use Policy•2018•Cited by: 3•References: 39

    Forest conversion in the tropics is increasingly driven by global demand for agricultural forest-risk commodities such as soy, beef, palm oil and timber. In order to be effective, future forest conservation policies should include measures targeting both producers (the supply side) and consumers (the demand side) to address commodity-driven deforestation. Whereas the UN Conventions on Biodiversity (CBD) and Climate Change (UNFCCC) do not make ref…

  • Do national strategies under the UN biodiversity and climate conventions address agricultural commodity consumption as deforestation driver

    Open Access•Sabine Henders, Madelene Ostwald et al.•ARTICLE•Land Use Policy•2018•Cited by: 3•References: 39

    Forest conversion in the tropics is increasingly driven by global demand for agricultural forest-risk commodities such as soy, beef, palm oil and timber. In order to be effective, future forest conservation policies should include measures targeting both producers (the supply side) and consumers (the demand side) to address commodity-driven deforestation. Whereas the UN Conventions on Biodiversity (CBD) and Climate Change (UNFCCC) do not make ref…

  • Do national strategies under the UN biodiversity and climate conventions address agricultural commodity consumption as deforestation driver

    Open Access•Sabine Henders, Madelene Ostwald et al.•ARTICLE•Land Use Policy•2018•Cited by: 3•References: 39

    Forest conversion in the tropics is increasingly driven by global demand for agricultural forest-risk commodities such as soy, beef, palm oil and timber. In order to be effective, future forest conservation policies should include measures targeting both producers (the supply side) and consumers (the demand side) to address commodity-driven deforestation. Whereas the UN Conventions on Biodiversity (CBD) and Climate Change (UNFCCC) do not make ref…

  • Tracking artificial intelligence in climate inventions with patent data

    Open Access•Vilhelm Verendel•ARTICLE•Nature Climate Change•2023

    Artificial intelligence (AI) is spreading rapidly in many technology areas, and AI inventions may help climate change mitigation and adaptation. Previous studies of climate-related AI mainly rely on expert studies of literature, not large-scale data. Here I present an approach to track the relation between AI and climate inventions on an economy-wide scale. Analysis of over 6 million US patents, 1976 to 2019, shows that within climate patents, AI…

Business (2 works) · Climate change (2 works) · Climate change mitigation (2 works) · Ecology (2 works) · Geography (2 works) · Agricultural economics (1 work) · Agriculture (1 work) · Agroforestry (1 work) · Applications of artificial intelligence (1 work) · Artificial Intelligence (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae