November 30 – December 7, 2020
Register your team by Sunday, November 29 | 12:00 PM EDT
AI Hacks is The University of Pennsylvania’s premier student run datathon, open to college students across the world. Participants will analyze hundreds of thousands of real customer interactions to develop new product features for NeuroFlow, an award-winning behavioral health platform.
Women in Data Science: Moving from Inclusion to Influence
On Feb. 14, 2020, more than 100 attendees gathered at the Perry World House in Philadelphia to hear faculty, industry, and student speakers discuss the latest research, state-of-the-art technologies, challenges, and future trends in data science.
Data scientists are much in demand. Beyond the domains one might expect — technology, the internet and telecommunications — they are being sought in energy, financial services, manufacturing, healthcare, pharmaceuticals, and other industries, according to recruiting firm Smith Hanley Associates.
But there’s a gender gap. Only 15% to 22% of today’s data science professionals are women, according to recent research from Boston Consulting Group. Moreover, women data analysts tend not to hold managerial roles, comprising only 18% of leadership positions at premier tech companies, according to Forbes. Data science’s appeal is lackluster among female STEM students: In the BCG report, nearly half of them perceived data science to be “overly theoretical and low impact.”
Academic institutions are working to change that. Recently, the University of Pennsylvania hosted its first-annual Women in Data Science conference — WiDS Philadelphia@Penn — to coincide with the annual Global WiDS Conference held at Stanford, and similar events held at approximately 150 colleges and organizations worldwide. The goal of the Penn event, according to the conference organizers — Susan Davidson, computer and information science professor at Penn Engineering; Mary Purk, executive director of Wharton Customer Analytics; and Linda Zhao, Wharton statistics professor — was to “inspire and educate data scientists, regardless of gender, and to support women in the field.” The Penn event was hosted by Analytics at Wharton, Wharton Customer Analytics, Penn Engineering and Wharton Statistics.
Analytics at Wharton Presents: Timnit Gebru, PhD
On January 24, 2020, Timnit Gebru spoke at the Wharton School on “Consent, Power, Inclusivity, Transparency, Ethics, and Privacy in Collecting Sociocultural Data in Machine Learning: Lessons from Historical Archives.”