The Second Episode of Our Sharing and Caring Podcast Series
Our Sharing and Caring Podcast Series
This is the second episode of the new Sharing and Caring podcast series. This podcast is a series of interviews and discussions with leading scientists in the collaborative economy. The Sharing and Caring podcast series is produced in association with the COST Action 16121, ‘From Sharing to Caring: Examining Socio-Technical Aspects of the Collaborative Economy’ at the University of Nicosia.
COST Action 16121 'Sharing and Caring' is a European Cooperation in Science & Technology action running from 2017-2021. The main objective of this action is to develop a European network of actors (including scholars, practitioners, communities and policy makers) focusing on the development of collaborative economy models and platforms and on social and technological implications of the collaborative economy through a practice-focused approach.
The series is hosted by the Action’s Science Communication manager Nicholas Nicoli, Associate Professor at the University of Nicosia in Cyprus.
Dr. Cristina Miguel is a Senior Lecturer at Leeds Beckett University. Cristina holds a PhD in Media & Communications from the University of Leeds. Her main research interests include Digital Culture (networked intimacy, online dating, and online privacy), and Digital Economy (the sharing economy, social media data mining, and influencer marketing). She is the Principal Investigator of the COLECO Erasmus+ project, focused on the study of peer-to-peer accommodation in Europe.
Dr. Christoph Lutz is a researcher at BI Norwegian Business School Oslo. His main work is in the field of new communication technologies and social media, where he investigates digital inequalities, online participation, trust, privacy and the sharing economy. Christopher has a background in sociology, economics and media science, but he likes interdisciplinarity and is open to different and challenging perspectives and ideas.
You can listen to the podcast on the following channels: