[Congressional Record (Bound Edition), Volume 163 (2017), Part 2]
[Extensions of Remarks]
[Pages 1828-1829]
[From the U.S. Government Publishing Office, www.gpo.gov]




    IN RECOGNITION OF THE WOMEN IN DATA SCIENCE CONFERENCE AND THE 
              PARTICIPANTS FROM THE UNIVERSITY OF MICHIGAN

                                 ______
                                 

                          HON. DEBBIE DINGELL

                              of michigan

                    in the house of representatives

                        Friday, February 3, 2017

  Mrs. DINGELL. Mr. Speaker, I rise today to recognize the Women in 
Data Science Conference (WiDS) and the Michigan In Data Science 
professors and scholars who are participating in this forum. WiDS plays 
an important role in bringing together world-class researchers to share 
cutting edge findings and best practices.
  The Women in Data Science conference is a Stanford University-
affiliated technical conference that brings together the latest data 
science techniques and findings across a variety of disciplines. The 
conference features exclusively women speakers and includes seven 
distinguished scholars from the University of Michigan from its College 
of Engineering and School of Information. Their research covers a 
variety of fields including healthcare, artificial intelligence and 
machine learning. Additionally, it includes a poster session to 
showcase current student and faculty research as well as a livestream 
featuring industry and academic leaders at Stanford University.
  Data science is a new field that has the potential to revolutionize 
our understanding of a variety of disciplines, and forums like WiDS 
play a critical role driving advances by facilitating knowledge 
transfer between top scholars and industry researchers. It is inspiring 
to see women from the University of Michigan leading the way in 
publishing groundbreaking discoveries that further our understanding of 
critical areas like healthcare, communications and statistical 
analysis. The real-world impact of this research underscores the 
importance of the work being showcased, and it is my hope that the 
University of Michigan continues to be a leader in this field.
  Mr. Speaker, I ask my colleagues to join me in honoring the 
University of Michigan researchers and other participants in the Women 
in Data Science Conference. The innovative research and support for 
women help inspire and educate individuals about the important work 
being done on data science across the country.

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