Women in Data Science 2019

WiDS Mannheim

Date: 25th March 2019

Location: MBS Lecture Hall (room EO 45 at the University of Mannheim - Schloss East Wing)
 

                   

 

About WiDS Stanford

The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field.  WiDS started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with regional events worldwide, featuring leaders in the field talking about their work, and their journeys.

 

About WiDS Mannheim

Following success in 2018, International Program in Survey & Data Science (University of Mannheim) and SAP Next Gen are proud to partner with Stanford University to bring the WiDS conference to Mannheim, Germany.This one-day event will unite local industry and academic leaders, as well as students and post-doc researchers to share their experience and yet learn about the latest data science-related innovation and impact.

 


Speakers

 

Frauke Kreuter 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.

 

 

 

 

 

 

Simona Marincei is chief program manager for SAP Leonardo Machine Learning at SAP Technology & Innovation. Simona obtained a Bachelor degree in Cybernetics, Statistics and Computer Science at the University of Bucharest, followed by an MBA degree in Business Intelligence from Grenoble Ecole de Management. She has close to 20 years of program and portfolio management in software development and consulting experience focused on machine learning, big data management, enterprise analytics and business intelligence. Simona leads a team of experts to drive a 500-people organization formed out of globally distributed teams of dedicated experts through the standard software development life cycle accordingly with SAP product standards, with a single goal of building best machine learning products and services. She is keen on data protection and security among her other scope of responsibilities.

 

 

 

 

 

 

Jutta Mata is professor of Health Psychology at the University of Mannheim, Associated Research Scientist at the Max Planck Institute for Human Development, Berlin, Germany. 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. 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.

 

 

 

 

 

 

Janina Mütze is co-founder & COO, Civey – funded in 2015 with the goal of making polling transparent and with no manipulation. Civey carries out all stages of the process chain from the participant registration and participant survey to the profitability analysis itself. Janina graduated Freie Universität Berlin in 2013 with a major in Economics (BA). During and after her studies, prior to starting her own business, she worked in the Embassy of France in Germany, Süddeutsche Zeitung (South German Newspaper) and Bundesverband Deutscher Kapitalbeteiligungsgesellschaften (German Private Equity & Venture Capital Association). In 2018, being 27 years old, Janina received the world-famous Forbes “30 under 30” award in Technology category. According to Forbes, the reason for choosing the young entrepreneur is the innovative concept of the tech startup.

 

 

 

 

 

 

Maíra Ladeira Tanke is a senior data scientist at Camelot ITLab. Maíra has a Bachelor’s degree in Computer Science from University of São Paulo, followed by a Master’s degree in Data Mining and Knowledge Management from the following renowned institutions: Lumière University of Lyon 2, University of Nantes, Pierre and Marie Curie University and University of Eastern Piedmont Amedeo Avogadro. She has close to 7 years of professional experience in data science, having practical experience in various fields like time-series forecasting, text mining, machine learning, customer analytics and assortment optimization. After her studies, prior to joining Camelot, she worked as data scientist at GfK and Deutsche Post DHL Group helping to close the gap between business and technology and developing tools for support stakeholders on their daily work challenges.

 

 

 

 

 

 

Claudia Wagner is junior professor in Computer Science at the University of Koblenz-Landau, head of Computational Social Science Department at GESIS - Leibniz Institute for Social Sciences. From 2016 - 2017 she was the team lead of Data Science team at GESIS that investigated social phenomena in offline and online social networks and social media. Claudia received her PhD from Graz University of Technology in 2013, before joining GESIS as postdoctoral researcher (2013-2016). She was awarded with a DOC-fFORTE fellowship from the Austrian Academy of Science for her PhD. During her PhD she conducted several international research internships, amongst others at HP labs, Xerox PARC and the Open University. Her interests are network science, data science, data and text mining, machine learning and algorithmic bias, bias and inequality in social networks and socio-technical systems.

 

 

 

 

 


Schedule

15:00    Registration & Networking

16:00    Welcome Greeting (Frauke Kreuter, Program Director, IPSDS, University of Mannheim)

16:05    Lightning talks (featuring WiDS Mannheim speakers)

16:35    Career Panel (moderated by Frauke Kreuter)

17:00    Group Discussions

17:30    Break

18:30    WiDS Talks Broadcasting

19:30    Closing Discussion

 

Organised jointly by:

 

 

Register now to ensure your seat

 

WiDS Mannheim is an independent event organized to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University and an estimated 150+ locations worldwide. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.