Invited Talk Preview: “The Human Side Data Science” by Cecilia Aragon

Presenter: Cecilia Aragon, University of Washington in Seattle

Time: Thursday, November 15th, 9:15am – 10am

Location: Exhibit Hall B

Extraordinary advances in our ability to acquire and generate data are transforming the fundamental nature of discovery across domains. Much of the research in the field of data science has focused on automated methods of analyzing data such as machine learning and new database techniques.

However, the human aspects of data science, including how to maximize scientific creativity and human insight, how to address ethical concerns, and the consideration of societal impacts, are vital to the future of data science. Human-centered data science is a necessary part of the success of 21st century discovery.

I will discuss promising research in this area, describe ongoing initiatives at the University of Washington in Seattle, and speculate upon future directions for data science.

About the Speaker:

Cecilia Aragon

Cecilia Aragon is Director of the Human Centered Data Science Lab, Founding Co-Director of the University of Washington Data Science Master’s Program, Professor in the Department of Human Centered Design & Engineering, and Senior Data Science Fellow at the eScience Institute at the University of Washington (UW) in Seattle.

In 2016, Aragon was the first Latina to be named to the rank of Full Professor in the College of Engineering at UW in its 100-year history.

She earned her Ph.D. in Computer Science from UC Berkeley in 2004, and her B.S. in mathematics from the California Institute of Technology. Her research focuses on human-centered data science, an emerging field at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and the statistical and computational techniques of data science.

She has authored or co-authored over 100 peer-reviewed publications and over 130 other publications in the areas of HCI, CSCW, data science, visual analytics, machine learning, and astrophysics.

In 2008, she received the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the US government on outstanding scientists in the early stages of their careers, for her work in collaborative data-intensive science.

Aragon’s research has been recognized with over $27M in grants from federal agencies, private foundations, and industry, and has garnered six Best Paper awards since 2004. She was awarded a 2017-18 Fulbright Fellowship to conduct research in human-centered data science and teach visual analytics in Chile.

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