Senior Economist, Future of Work Expert
International Labour Organization (part of the UN)
In this session, Daniel will present ongoing research that the ILO is conducting with partners in academia and in the corporate world, revealing a jobs network that was generated with the help of data science techniques. The network offers some insights about what kind of job transitions people make in their careers, and which transitions are blocked.
This session will discuss how individuals, organisations and governments can better detect opportunities for job transitions using new methods from data science. We will explore what are the implications for skills policies, and the question – can we imagine a world in which we work without jobs?
Future Career Paths: New Insights on Job-to-Job Transitions
Why this is important right now:
- Many jobs are currently at risk of being either automated or transformed
- Artificial intelligence (AI) and COVID-19 are two main drivers that are churning global labour markets
- Career transitions for many may be necessary. Yet, we still know little about what kind of job-to-job transitions people successfully make or could be making in the future.
This session will explore:
- Future career paths
- Job-to-job transitions
- Network analysis
Key takeaways – attend and learn:
- What kind of job-to-job transitions do currently exist: which ones happen more frequently than others and which transitions do not happen
- What we can say about workforce skills that are transferable to other jobs and that facilitate transitions
- How natural language processing (NLP) and network analysis can improve our understanding of career paths.
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Senior Economist, Future of Work Expert, ILO
Daniel Samaan is an Economist and Senior Researcher at the International Labour Organization (ILO) in Geneva. He is an expert in the analysis of global labour market trends, specialised in the links with globalisation, new technologies/AI, sustainable development, and a new work culture.
He has been an author and part of the core teams of several ILO reports. His research has been published in peer-reviewed journals and he is a regular public speaker on various labour market topics and on the Future of Work. He recently authored “Job Scenarios 2030: How the World of Work Has Changed Around the Globe”, a futuristic view on how labour markets could look like in 2030.
Daniel previously worked at the economic policy research center, SCEPA, and in the consulting industry in New York City. He holds a PhD in economics from the New School for Social Research in New York and a master’s degree in economics and business administration from the University of Passau in Germany.
Daniel is the Head of Research & Knowledge Management at Geneva Macro Labs in Geneva. The Geneva Macro Labs are a think tank and intellectual catalyst that support initiatives to facilitate the achievement of the United Nations’ Sustainable Development Goals.