Women in Data Science (WiDS)
  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee

Cecilia Aragon

Professor, Human Centered Design & Engineering
​at the University of Washington
Picture
Keynote: The Rigorous and Human Life of Data
Abstract: Very often, the words “rigorous” and “human-centered” have been used as opposites in technical fields, with the implication that a focus on human aspects makes science “soft” or “insufficiently technical.” This is a false dichotomy that Cecilia will argue in this talk.

While extraordinary advances in our ability to collect, analyze, and interpret vast amounts of data have been transforming the fundamental nature of data science, the human aspects of data science, including how to support scientific creativity and human insight, how to address ethical concerns, and the consideration of societal impacts, have been less studied. Yet these human issues are becoming increasingly vital to the future of data science. Cecilia will reflect on a 30-year career in data science in industry, government, and academia, discuss what it means for data science to be both rigorous and human-centered, and speculate upon future directions for data science.
Biography
Cecilia is Professor and Director of the Human-Centered Data Science Lab at the University of Washington (UW) where she and her team use both quantitative (statistical and computational) and qualitative (ethnographic, human-centered design) methods to study how people make sense out of large data sets. They build visualizations, games, and other software to enable these interactions. This emerging field, known as human-centered data science, is situated at the intersection of human-computer interaction and data science. In 2016, Cecilia became the first Latina named to the rank of Full Professor in  the College of Engineering at UW in its hundred-year history. She earned her Ph.D. in Computer Science from UC Berkeley and her B.S. in Mathematics from Caltech. She’s received numerous awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), the Fulbright, and Top 25 Women of 2009 (Hispanic Business Magazine). Her most recent book is Human-Centered Data Science: An Introduction (MIT, 2022).

Listen to Cecilia's WiDS Podcast Episode
  Human-Centered Data Science by Cecilia Aragon,  Shion Guha,  Marina Kogan,  Michael Muller and  Gina Neff
Newsweek Article: The Human Side of Data Science Can No Longer Be an Afterthought | Opinion by Cecilia Aragon

Initiatives

Conference
Ambassador Program
Datathon
Podcast
Workshops 
Next Gen

Follow Us

LinkedIn
Twitter
Facebook
Instagram
YouTube
​Blog

connect

LinkedIn Group
Facebook Group
subscribe
donate

© 2022 Women in data science. Women in Data Science is a Registered trademark of Stanford University. 

  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee