Collaborative Analytics – public lecture by Dr. Kristin Tolle, April 19th

The Center for Urban and Regional Analysis (CURA), in cooperation with Translational Data Analytics @ Ohio State, Ohio State ADVANCE, The Women’s Place and the STEAM Factory is proud to present a public lecture by Dr. Kristin Tolle:

kristintolle_headshot_fall2010 Dr. Kristin Tolle, Director, Data Science Initiative, Microsoft Research Outreach

Collaborative analytics:

Meeting global challenges through shared research and development

Tuesday, April 19th, 4pm-5pm

Wexner Center Theater, The Ohio State University

This talk will focus on research collaborations that cut across disciplinary, organizational and geographical boundaries to generate research and development breakthroughs on global challenges such as healthcare and climate change.  Pushing the state of the art can be facilitated through these partnerships—public/private and academic/industry—when each group bring their unique strengths and perspectives to bear on scientific problems.

Seats are free but limited!  More information and RSVP

More about Dr. Kristin Tolle:  Kristin M. Tolle is the Director of the Data Science Initiative in Microsoft Research Outreach, where she has worked since 2000 for several product teams including the Natural Language Group, Visual Studio, and the Microsoft Office Excel Team. Since joining Microsoft Research’s outreach program in 2006, she has run several major initiatives from Biomedical computing and environmental science to more traditional computer and information science programs around natural user interactions and data curation. She also directed the development of the Microsoft Translator Hub and the Environmental Science Services Toolkit. Dr. Tolle is an editor, along with Tony Hey and Stewart Tansley, of one of the earliest books on data science, The Fourth Paradigm: Data Intensive Scientific Discovery. Her current focus is develop an outreach program to engage with academics on data science in general and more specifically around using data to create meaningful and useful user experiences across devices platforms.


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