Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/27432| Title: | Challenges and Opportunities in ESG Investments | Authors: | Vodenska, Irena Trajanov, Risto Chitkushev, Lou Trajanov, Dimitar |
Keywords: | ESG (Environmental, Social, and Governance) Investments, Machine learning, AI-based systems, Sustainable Development, Financial and Economic Stability | Issue Date: | 24-Jun-2022 | Publisher: | Springer Nature Switzerland | Conference: | International Conference on Computer Science and Education in Computer Science | Abstract: | Environmental, Social, and Governance (ESG) criteria gain increasing attention by governments and corporations to assess how advanced countries and companies are with sustainability. The adoption of the ESG in-vestment approach addresses risk management issues and sets goals to-ward more responsible behavior. Sustainable development goals adopted by the United Nations in 2015 include a call for action to end poverty, save the planet, and ensure peace and prosperity for all by 2030. This paper studies advanced machine learning methodologies to assess, analyze, and suggest improvements in corporate behavior to comply with global sustainable development goals. | URI: | http://hdl.handle.net/20.500.12188/27432 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Challenges_and_Opportunities_in_ESG_Investments2.pdf | 829.67 kB | Adobe PDF | View/Open |
Page view(s)
30
checked on Apr 28, 2024
Download(s)
21
checked on Apr 28, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.