Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Elena Rovenskaya"'
Publikováno v:
AIMS Environmental Science, Vol 11, Iss 4, Pp 628-648 (2024)
Short-term reductions in social welfare, expected to be caused by a currently imposed carbon tax, are among the obstacles to a rapid transition to a low-carbon economy. Using an extended DICE model, we studied the potential of green bonds to both acc
Externí odkaz:
https://doaj.org/article/37182c957e2745fc9615346db9c5b831
Autor:
Sebastian Poledna, Nikita Strelkovskii, Alessandra Conte, Anne Goujon, Joanne Linnerooth-Bayer, Michele Catalano, Elena Rovenskaya
Publikováno v:
Comparative Migration Studies, Vol 12, Iss 1, Pp 1-27 (2024)
Abstract This study examines the potential economic and labour market impacts of a hypothetical but plausible migration scenario of 250,000 new migrants inspired by Austria’s experience in 2015. Using the agent-based macroeconomic model developed b
Externí odkaz:
https://doaj.org/article/9d0cdfef239d46b495d12a2e2992afaa
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-13 (2024)
Abstract Weather extremes are challenging the achievement of Sustainable Development Goal (SDG 2) – Zero Hunger globally and, most notably, in West Africa where it is further aggravated by rapid population growth. Here we present a stylized stochas
Externí odkaz:
https://doaj.org/article/7ab384fc126440199229b0bc156a84e5
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1921-1936 (2023)
Social trend mining, situated at the confluence of data science and social research, provides a novel lens through which to examine societal dynamics and emerging trends. This paper explores the intricate landscape of social trend mining, with a spec
Externí odkaz:
https://doaj.org/article/2a8d4aaecabe46f78a0cc751885c6a1b
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 4, p 171 (2023)
This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analys
Externí odkaz:
https://doaj.org/article/be252829d62d482093fba11d533cb2c8
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
Credibility of long-term projection in quantitative models is continuously under debate and they rely on validation to prove projection accuracy. Here the authors investigated the views on the validation approaches and they show that empirical data p
Externí odkaz:
https://doaj.org/article/7cdc72172a45481998ee55c0ac4c9246
Autor:
Stefan Hochrainer-Stigler, Georg Pflug, Ulf Dieckmann, Elena Rovenskaya, Stefan Thurner, Sebastian Poledna, Gergely Boza, Joanne Linnerooth-Bayer, Åke Brännström
Publikováno v:
International Journal of Disaster Risk Science, Vol 9, Iss 4, Pp 561-567 (2018)
Abstract Systemic risk research is gaining traction across diverse disciplinary research communities, but has as yet not been strongly linked to traditional, well-established risk analysis research. This is due in part to the fact that systemic risk
Externí odkaz:
https://doaj.org/article/426d2a9662ed408a904cdf879cac095c
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0244196 (2020)
Climatic and other extreme events threaten the globalized economy, which relies on increasingly complex and specialized supply-chain networks. Disasters generate (i) direct economic losses due to reduced production in the locations where they occur,
Externí odkaz:
https://doaj.org/article/64cfc1d57ba4461f959483ff14e81362
Autor:
Nikita Strelkovskii, Elena Rovenskaya
Publikováno v:
Systems, Vol 9, Iss 3, p 65 (2021)
The complexity, multidimensionality, and persistence of the COVID-19 pandemic have prompted both researchers and policymakers to turn to transdisciplinary methods in dealing with the wickedness of the crisis. While there are increasing calls to use s
Externí odkaz:
https://doaj.org/article/7318537bfb124a14b909cc3d272b16a0
Autor:
Tatiana Ermolieva, Anatolij G. Zagorodny, Vjacheslav L. Bogdanov, Gang Wang, Petr Havlik, Elena Rovenskaya, Nadejda Komendantova, Taher Kahil, Jose- Pablo Ortiz-Partida, Juraj Balkovic, Rastislav Skalsky, Christian Folberth
In this presentation we discuss methodologies, modeling tools and case studies on linking distributed disciplinary food, water, energy, environmental (FWEE) systems’ models into multi-systems multi-disciplinary integrated models for truly integrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a86bd1e52ce4c94a9837790ecbcbe9af
https://pure.iiasa.ac.at/id/eprint/18785/
https://pure.iiasa.ac.at/id/eprint/18785/
