With Professor Anoush Margaryan
This talk will explore what we currently know - and what we still need to study -about the capabilities required in AI-mediated societies and workplaces.
Anoush Margaryan is Chaired Professor in the Department of Digitalization at Copenhagen Business School.
Professor Margaryan’s research explores how people learn and develop skills in the workplace and how digital technologies and learning practices are mutually shaped and reshaped within emergent forms of platform-based and AI-mediated work. Her research is grounded in learning sciences, psychology, sociology, and organisational studies, with a focus on the application of theories of human agency, self-direction and self-regulation, and the life course in learning and development in the workplace.
Professor Margaryan has over 130 scientific publications, including 2 books, co-authored with over 55 collaborators internationally. She has led 20 collaborative research projects spanning interdisciplinary, intersectoral, and international partnerships, funded by the UK ESRC, Shell, BP, Energy Institute, the European Centre for the Development of Vocational Training (Cedefop), Volkswagen Foundation, Carlsberg Foundation, and the World Bank.
Professor Margaryan has earned several international awards for research excellence including Alexander von Humboldt Senior Fellowship (2016), Excellence in Research-to-Practice Award from the American Society for Training and Development (2005) and Shell Research Fellowship (2008), among others.
She holds a PhD in Educational Science and Technology from University of Twente in the Netherlands (2006). Prior to joining CBS, she held full professorships at Glasgow Caledonian University (2015) and the University of West London (2018). She has also worked at the University of Dundee, Goethe University Frankfurt, European Business School (ebs), University of Twente, and the American University of Armenia.
With Professor Anoush Margaryan
This talk will explore what we currently know - and what we still need to study -about the capabilities required in AI-mediated societies and workplaces.