Biography
Sally Wyatt is Professor of Digital Cultures in the Faculty of Arts and Social Sciences, Maastricht University. She is a feminist who works in the field of Science and Technology Studies (STS). Her work focuses on the ways in which digital technologies may reinforce or introduce inequalities, and on the ways in which people use digital technologies to find health information. Wyatt is one of the three national coordinators of the VSNU Digital Society Programme, involving all Dutch universities (Home – The Digital Society). Together with Anna Harris and Susan Kelly, she is the author of the prize-winning book, Cybergenetics, Health Genetics and New Media (2016, Routledge). More information about her teaching, research and other activities can be found on her personal website: Sally Wyatt – more than 30 years Experience Teaching and Research

Biography
Sujatha is a Lead Data Scientist and an AI Solution Architect in Avanade, Netherlands. With more than 15 years in product development and consulting her focus area is in solving customer challenges using Data & AI. She is passionate about delivering value and drive AI adoption by focusing on the technology, readiness and processes. She has been an active member of Pydata Warsaw and loves to share her passion for Data & AI speaking in meetups and conferences.

Biography
Fleur Hasaart (age 37) currently works as the manager of the Data Science department at CZ Health Insurance in the Netherlands. She holds a master in international economics from Tilburg University and a PhD in Health Economics from Maastricht University. Her research field is strategic behaviour in reimbursement for hospitals. Within CZ her department focuses both on using AI for the enhancement of custumer service and on using AI within the field of health care. Also she currently works as an advisor for the start- up Scailable aimed at instantly deploying AI/ML models.

Biography
Hinda Haned is Senior Lead Data Analytics at Janssen Biologics (Leiden, The Netherlands), where she supports and manages different data science projects for process improvement and optimization. In 2018, she was named professor by special appointment at the University of Amsterdam. Her research focuses on developing solutions for best practices for safe and responsible data science. Hinda obtained her PhD in applied statistics from the university of Lyon (France) in 2010. Some of her most recent work revolves around explaining why a model makes errors in forecasting tasks and investigating whether explaining these errors increases user-trust.
Website: https://hindantation.github.io/