Sustainable Investing 4.0: Big Data and AI for Maximal Impacts
14:00 – 15:30
Centre International de Conférences Genève - Workshop Room 14
Swiss Sustainable Finance and Zürich University of Applied Sciences organize a joint workshop on to present new applications of big data to ESG investing. The novelties will answer the following questions:
– Large-scale identification of high-impact companies
– Which companies will prosper on Green innovation?
– How can investors assess and act on negative ESG incidents?
14:00 – 14:10
- Welcome by Tomasz Orpiszewski (ZHAW), Sabine Döbeli (SSF)
14:10 – 15:25
- Spatial Science and Machine Learning for Identifying High-Impact Companies (Dr. Mark Thompson, Senior Researcher, ZHAW)
- How do stocks react to ESG Incidents? (Dr. Tomasz Orpiszewski, Senior Lecturer, ZHAW)
- Big Data for Assessing Green Innovation (David Jaggi, Researcher, ZHAW)
- Using NLP for detection of Greenwashing and Green Trends (Nicolas Jamet, Fund Manager, RAM Active Investments)
15:25 – 15:30
- Wrap-up

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