The talk will explore the concept of “green skills” and “green jobs”, which are skills and occupations that contribute to preserving or restoring the natural environment.
The focus will be on using natural language processing (NLP) techniques to create an index of greenness of different types of work, in order to better understand and quantify the environmental impact of different industries and occupations. The talk will also discuss the potential benefits of investing in green skills and jobs, such as reducing carbon emissions, improving air and water quality, and conserving natural resources.
Additionally, the talk will explore the challenges and opportunities of using NLP to create the index as well as the limitations of using text-based data to measure environmental impact.
I am a senior data scientist and big data engineer responsible for the design of the “Real-Time Labour Market Information System on Skill Requirements” for CEDEFOP and Eurostat.
I currently work as Head of Global Data Science at Lightcast with the goal to develop innovative models, methods and deployments of labour market data and other data to meet customer requirements and prototype new potential solutions.
