2021 Women in Data Science @ Penn Conference Recap
The University of Pennsylvania was proud to host the second annual (first virtual) Women in Data Science (WiDS) @ Penn Conference on February 8-12, 2021. Over the course of the week, nearly 500 registrants had access to academic and industry talks, live speaker Q&A sessions, and networking opportunities in our virtual Gather.Town conference space.
This year’s theme – This is What a Data Scientist Looks Like – emphasized the depth, breadth, and diversity of data science, both in subject matter and personnel. A celebrated interdisciplinary event, WiDS @ Penn welcomed academic and industry speakers from across the data science landscape.
These Are What Data Scientists Look Like
Supporting the Next Generation of Women in Data Science
The WiDS @ Penn Committee is dedicated to creating equitable opportunities to educate the next generation of female data scientists and analytics leaders. As a part of this commitment, we donated all 2021 registration fees to the Wharton Data Science Academy scholarship fund. We are thrilled to announce that we raised $4,150 to support need-based scholarships for female high school students.
These scholarships will enable students, regardless of their background, to participate in summer courses at The Wharton School to expose young talent to the field of data science and analytics.
WiDS By The Numbers
WiDS Day 1: Keynote
Kate Johnson, WG’94
After welcoming remarks from deans Erika James (The Wharton School) and Vijay Kumar (Penn Engineering), attendees heard an inspiring talk from keynote speaker Kate Johnson, WG’94, President of Microsoft US, who spoke about the importance of technology as a change agent for inclusion. Following her talk, Kate answered questions from attendees, which was moderated by Mary Purk, Executive Director of Wharton Customer Analytics and AI for Business.
The Wharton School
WiDS Day 2: Speaker Sessions
Data Science in Radiology
Assistant Professor of Radiology
Perelman School of Medicine
the Replication Crisis
Associate Professor of Biostatistics
Johns Hopkins Bloomberg School of Public Health
WiDS Day 3: Industry Panel
Sponsored by Wharton Women in Business
WiDS Day 4: Speaker Sessions
The Influence of Automated Accounts in the Spread of Information on Social Media
How Humans Build Models of the World
WiDS Day 5: Student Speaker Sessions
Comcast Customer Analysis
COVID-19 Impact on Counties with Different Social-Economical Characteristics
Equalmodel: A Post-Processing Algorithm for Bias Reduction in Big Data Analytics
Brian Handen, Hyewon Lee, Margaret Ji, Tashweena Heeramun and Trishla Pokharna
Predicting Academic Success of Masters Students Using Application Data
How Women in Data Science Rise to the Top
In Taoist philosophy, the journey of a thousand miles begins with a single step. This saying has certainly held true for four women whose careers have taken them all the way to the top of the field of data science.
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