Wvu Marketing Communications Today
We Need More Women in Data Science!
- Autor: Vários
- Narrador: Vários
- Editor: Podcast
- Duración: 0:29:53
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Sinopsis
Data science affects every aspect of modern life, from setting monetary policy and modeling climate change impacts, to how and where healthcare is administered. Yet, women represent less than 20% of students and less than 10% of decision-makers in data science today. While women have made great strides in STEM and other fields, they seem to be failing to make inroads in this important field. In this episode, we have special guest Tina Tang, co-founder and chair of Women in Big Data, an organization focused on mentoring and leadership development in tech, to break it down for us. She is a mentor, investor, and advisor, supporting women’s leadership in politics and peace. Check out the mentoring and support available at Women in Data Science. Fun Fact: Not only is her resume truly impressive, but Tina also has some famous miniature donkeys! Listen in for details. Tina shares these three takeaways: The causes of women’s under-representation in data science include a lack of encouragement when they are young, a