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

WiDS Worldwide 2021 Workshops

WiDS Workshops is a brand-new WiDS initiative that provide opportunities for data scientists and aspiring data scientists to learn more and update their skills. The first 14 workshops took take place at WiDS Worldwide on March 8th.
Learn more about the all new WiDS Workshops.
​

Workshop Instructors
workshop videos

 WiDS Worldwide Conference Workshops

​March 8 GMT
Workshop Topics
Instructors
    6:00 - 6:45 am
Data Processing and Statistical Models to Impute Missing Perpetrator Information​
Megan Price, Maria Gargiulo, Human Rights Data Analysis Group (HRDAG)

    6:45 - 7:30 am
Tackling the WiDS Datathon Challenge 2021
Usha Rengajaru, Data Scientist,
​2x Kaggle Grand Master


    7:30 - 8:15 am
An introduction to Data Mesh: a paradigm shift in analytical data management​
Zhamak Dehghani, Director of Next Tech Incubation, Thoughtworks

    8:15 - 9:00 am
Evolution of Applied Recommender Systems​
Debanjana Banerjee,  Sinduja Subramaniam, Walmart Global Tech

    12:15 - 1:00 pm
Linear Algebra: What Would We be Without It​
Margot Gerritsen, Professor, Stanford University

    1:00 - 1:45 pm
Design Thinking for Data
Sita Syal, PhD Student, Stanford University

    1:45 - 2:30 pm
Automating Machine Learning
Madeleine Udell, Assistant Professor, Cornell

    2:30 - 3:15 pm
Why we love arrays for data science
Eileen Martin, Professor, Virginia Tech

    3:15 - 4:00 pm
Data Analysis for Health, with a Focus on COVID-19
Haley Hedlin, Yingjie (Isabel) Weng, Senior Biostatisticians, Stanford University

    7:15 - 8:00 pm
Spelling Correction for 100+ Languages
Jingwen Lu, Principal Applied Science, Microsoft

    8:00 - 8:45 pm
Machine Learning for Scientific R&D: Why it's Hard and Why it's Fun
Julia Ling, Chief Technology Officer, Citrine Informatics

    8:45 - 9:30 pm
Actionable Ethics for Data Scientists
Emily Miller, Senior Data Scientist, Drivendata.org

    9:30 - 10:15 pm
Do You See What I See: Exploration of Using AI and AR
Louvere Walker-Hannon, Shruti Karulkar, and Sarah Mohamed, Mathworks

    10:15 - 11:00 pm
Parallel Computing 101: All you need to know about the hardware that powers data science
Cindy Orozco Bohorquez, PhD Candidate, Stanford University

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