Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Lynn H Kaack"'
Autor:
Sebastian Sewerin, Lynn H. Kaack, Joel Küttel, Fride Sigurdsson, Onerva Martikainen, Alisha Esshaki, Fabian Hafner
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract Despite the importance of ambitious policy action for addressing climate change, large and systematic assessments of public policies and their design are lacking as analysing text manually is labour-intensive and costly. POLIANNA is a datase
Externí odkaz:
https://doaj.org/article/77cab616e7dc474fa59e1d26ef0a3461
Autor:
Nikola Milojevic-Dupont, Felix Wagner, Florian Nachtigall, Jiawei Hu, Geza Boi Brüser, Marius Zumwald, Filip Biljecki, Niko Heeren, Lynn H. Kaack, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-17 (2023)
Abstract Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effe
Externí odkaz:
https://doaj.org/article/e28e0dcd094c4639a15f06ccfb4fdc40
Autor:
Guillaume Chevance, Mark Nieuwenhuijsen, Kaue Braga, Kelly Clifton, Suzanne Hoadley, Lynn H Kaack, Silke K Kaiser, Marcelo Lampkowski, Iuliana Lupu, Miklós Radics, Daniel Velázquez-Cortés, Sarah Williams, James Woodcock, Cathryn Tonne
Publikováno v:
Environmental Research Letters, Vol 19, Iss 5, p 051002 (2024)
Externí odkaz:
https://doaj.org/article/6c3a2ff4f06f48d184d62b579bed60c2
Autor:
Nikola Milojevic-Dupont, Felix Wagner, Florian Nachtigall, Jiawei Hu, Geza Boi Brüser, Marius Zumwald, Filip Biljecki, Niko Heeren, Lynn H. Kaack, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/2d45fb7b7bc541c6b3101203c3e81aed
Autor:
Nikola Milojevic-Dupont, Nicolai Hans, Lynn H Kaack, Marius Zumwald, François Andrieux, Daniel de Barros Soares, Steffen Lohrey, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0242010 (2020)
Understanding cities as complex systems, sustainable urban planning depends on reliable high-resolution data, for example of the building stock to upscale region-wide retrofit policies. For some cities and regions, these data exist in detailed 3D mod
Externí odkaz:
https://doaj.org/article/c4895743632048c0b0cf5715b54d79d3
Autor:
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio
Publikováno v:
ACM Computing Surveys, 55 (2)
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb10b76553baaecc5fc171c55af079a3
Autor:
Dipti Srinivasan, Susanne Köhler, Artur Gil, Panayiota J. Alevizou, Pia Johanna Schweizer, Ruby Appiah-Campbell, David Rolnick, Lucia A. Reisch, Lucas Joppa, Peter Howson, Lynn H. Kaack, Priya L. Donti, Massimo Pizzol, Tilman Santarius, Nina Michaelidou
Publikováno v:
Reisch, L A, Joppa, L, Howson, P, Gil, A, Alevizou, P, Michaelidou, N, Appiah-Campbell, R, Santarius, T, Köhler, S, Pizzol, M, Schweizer, P J, Srinivasan, D, Kaack, L H, Donti, P L & Rolnick, D 2021, ' Digitizing a sustainable future ', One Earth, vol. 4, no. 6, pp. 768-771 . https://doi.org/10.1016/j.oneear.2021.05.012
Digital technologies have a crucial role in facilitating transitions toward a sustainable future. Yet there remain challenges to overcome and pitfalls to avoid. This Voices asks: how do we leverage the digital transformation to successfully support a
Publikováno v:
Environmental Research Letters, Vol 13, Iss 8, p 083001 (2018)
Road freight transportation accounts for around 7% of total world energy-related carbon dioxide emissions. With the appropriate incentives, energy savings and emissions reductions can be achieved by shifting freight to rail or water modes, both of wh
Externí odkaz:
https://doaj.org/article/8cfb650a59024ce59bd57c90af43323a
Assessing and shaping the effects of artificial intelligence (AI) and machine learning (ML) on climate change mitigation demands a concerted effort across research, policy, and industry. However, there is great uncertainty regarding how ML may affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7fa26b776080c6bcf48c0644c4ebe7
https://hal.archives-ouvertes.fr/hal-03368037
https://hal.archives-ouvertes.fr/hal-03368037
Autor:
Lynn H. Kaack
Publikováno v:
Nature. 598:567-568
An inventory of the world’s solar-panel installations has been produced with the help of machine learning, revealing many more than had previously been recorded. The results will inform efforts to meet global targets for solar-energy use. An invent