X-Europe Data Science Webinars

Data Science for (Gender) Equality

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ABOUT OUR SPEAKER

Orsolya Vasarhelyi, Ph.D. is a data scientist, educator, and public speaker. Her research focuses on how network and data science can lead to a better understanding of unconscious bias in STEM. Currently, she is interested in developing data-driven methods to quantify inclusion and understand the impact of artificial agents on human collaborations. She is an ambassador of the Women in Data Science Conference at Stanford University and a member of the Data Science for Social Good Alumni.

ABOUT THE TALK
Despite improvements, women in STEM are still facing more challenges than their male colleagues: they earn less, more likely to leave their tech job being, and their work receives less acknowledgment. These disparities persist, despite evidence that integrated female members increase the overall intelligence of teams and gender heterogeneous teams are more creative and productive. Recent years' scandals in the tech industry brought attention to womenโ€™s marginalization in STEM. In my talk, I will showcase large-scale data-driven studies from my research to illustrate that increasing the number of women itself will not solve the problem. On examples from open source software engineering, video game development, and organizational collaborations I will describe why we should not focus only on diversity and how data science can help to fight against unconscious bias.



Communities

And Barcelona Data Science and Machine Learning Meetup,
Budapest Deep Learning Reading Seminar,
Budapest Data Science Meetup

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