Which digital society for our future
Chang Sun is a PhD candidate in Data Science at the Institute of Data Science at Maastricht University. She got her master degree in Artificial Intelligence in 2017. She focuses on distributed machine learning, privacy-preserving data mining, data science in health.
Nowadays, AI technologies including robotics, predict models and others are silently affecting our life. China is overtaking the US as the leader of AI. But what is actually happening in China now? How new technologies are changing society? Is the news about social credit system true? How do people think about the current situation?
Ph.D Candidate in Data Science
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His work focuses on the development of computational methods for scalable and responsible discovery science.
The growing availability of open data coupled with astounding advances in Artificial Intelligence are already driving innovation into everyday life. Dumontier will discuss the opportunities and challenges posed by these developments, and what we are doing about it at Maastricht
Distinguished Professor of Data Science
Sally Wyatt is Professor of Digital Cultures, Maastricht University. Wyatt studied economics in Canada and the UK, before completing a PhD in science and technology studies in Maastricht. In recent years, there has been lots of hype about the benefits of big data for policy making, industry and scientific research. Wyatt will point out some of the flaws underlying the hype, reminding us that data are never given and never speak for themselves. She will argue that as university researchers, we have a ‘responsibility to science and society’ to question such hype.
Professor of Digital Cultures