Women in Data Science

The 2018 WiDS Mannheim will take place on March 8, 2018 at the University of Mannheim.

The Stanford Women in Data Science (WiDS) Conference is a worldwide one-day technical conference event that provides an opportunity to hear about the latest data science related research in a number of domains, learn how leading-edge companies are leveraging data science for success, and connect with potential mentors, collaborators, and others in the field. ​ The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual conference is held at Stanford University and 100+ locations worldwide including Mannheim!

Location: Mannheim Business School - Educational Center Dalbergplatz N2,10  Room LR 2.1

Speakers: 

Frauke Kreute is director of the International Program in Survey and Data Science, head of the Statistical Methods group at the Institute for Employment Research, and Professor at the University of Mannheim. She also holds Professorship at the Joint Program in Survey Methodology (University of Maryland). Prior to her appointment at the University of Mannheim she held Professorship at the Institute for Statistics at the Ludwig-Maximilians-Universität in Munich, Germany. She received her PhD from the University of Konstanz in 2001. From 2001-2004 Frauke Kreuter was part of UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys, and the use of paradata to improve survey processes and survey estimates. Since joining the Institute for Employment Research her research expanded to investigating the joint use of survey and administrative data, as well as other newly emerging data sources.

 

 

 

 

 

 

 

Jutta Mata is professor of health psychology at the University of Mannheim, and associated research scientist at the Max Planck Institute for Human Development, Berlin, Germany. Her main research topics are understanding individual and environmental factors that determine weight-related health behaviors. She is interested in the use and effects of mHealth and online social networks for healthy behavior and well-being. Jutta studied psychology in Göttingen, Lisbon, and Berlin. She was a member of the International Max Planck Research School LIFE and received her PhD in 2008. After being a post-doctoral research fellow at both, the University of Lisbon, Portugal, and Stanford University, USA, she worked as a research scientist at the University of Basel, Switzerland, and the Max Planck Institute for Human Development. From 2014-2015 she was an assistant professor of health psychology at the University of Basel.

 

 

 

 

 

 

Volha Bryl is a senior data specialist at Springer Nature. She is a computer scientists with a strong mathematical background, 10 years of academic experience, working currently on the practical side of things at the Database Research Group at Springer Nature. She holds a PhD from the University of Trento, Italy, and has worked at the FBK research institute in Trento and at the Business Informatics Faculty at the University of Mannheim. Her interests and experience spread across a wide variety of data-related topics, including business intelligence, knowledge modelling, semantic web, data mining, linked data, natural language processing.

Alicia Hickey is a data scientist at DCSO, a German cybersecurity company based in Berlin. She's spent the last 5 years honing her data science skills in the areas of fintech, the Internet of Things, travel and now, cybersecurity. Her current work focuses on improving the threat detection capabilities of the threat intelligence team at DCSO. Alicia holds a Masters degree in mathematics from the University of Bristol, UK.

Register now to ensure your seat (booked out, yet you can register for our waiting list).