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02:30 - Emily’s Superpower: Finding all the dogs to pet.
05:05 - Emily’s Data Science Journey
* Organization Behavior
* Qualitative / Quantitative
* Research: Women in STEM Fields
08:21 - The Idea of Passion
* Unlocking the Clubhouse: Women in Computing (https://www.amazon.com/Unlocking-Clubhouse-Women-Computing-Press/dp/0262632691)
* Gatekeeping
10:46 - Defining Data Science
* Analytics
* Decision Science
* Machine Learning
13:48 - Emily’s Book: Build a Career in Data Science (https://www.manning.com/books/build-a-career-in-data-science?query=Emily%20Robinson)
16:11 - Dealing with Failure
* PyData Ann Arbor: Jacqueline Nolis | When Data Science Projects Fail (https://www.youtube.com/watch?v=FW2dqQksRwo)
18:30 - Sponsorship
* Emily’s Post on Sponsorship: The Importance of Sponsorship (https://hookedondata.org/the-importance-of-sponsorship/)
20:08 - The Spread of Data Science Roles
* Strengthening Job-Critical Skills
* The Art of Statistics (https://www.amazon.com/Art-Statistics-Learning-Pelican-Books/dp/0241398630/ref=sr_1_2?dchild=1&keywords=The+Art+of+Statistics&qid=1586796001&s=books&sr=1-2)
* How Charts Lie (https://www.amazon.com/How-Charts-Lie-Getting-Information-ebook/dp/B07P88R6DW/ref=sr_1_1?dchild=1&keywords=How+Charts+Lie&qid=1586795985&s=books&sr=1-1)
* The Cartoon Guide to Statistics (https://www.amazon.com/Cartoon-Guide-Statistics-Larry-Gonick/dp/0062731025)
* Statistical Rethinking (https://www.amazon.com/Statistical-Rethinking-Bayesian-Examples-Chapman/dp/1482253445/ref=sr_1_1?dchild=1&keywords=Statistical+Rethinking&qid=1586804227&s=books&sr=1-1)
* The Book of Why (https://www.amazon.com/Book-Why-Science-Cause-Effect/dp/B07CYJ4G2L/ref=sr_1_1?crid=S9D75K7C9UAB&dchild=1&keywords=the+book+of+why&qid=1586804292&s=books&sprefix=The+book+of+why%2Cstripbooks%2C217&sr=1-1)
27:09 - Sponsorship (Cont’d)
* Sponsorship vs Mentorship
* Having a Solid Community / Network
* R-Ladies (https://rladies.org/)
* Capital
* Smaller Acts of Mentorship
* Trey Causey's Do you have time for a quick chat? Post (https://medium.com/@treycausey/do-you-have-time-for-a-quick-chat-c3f7e46de89d)
* Sponsorship and Mentorship Work Best When There's a Concrete, Stated Goal
* Data Helpers (https://www.datahelpers.org/)
* Mentorship Should Be Part of Our Formal Career Ladder
36:20 - Themes Learned From Writing Build a Career in Data Science (https://www.manning.com/books/build-a-career-in-data-science?query=Emily%20Robinson)
* Communication Skills
* Proactivity
* Community (Network is Important)
40:02 - Companies Should Train People to be Mentors
* What does a tech lead do? (https://www.bitlog.com/2017/10/12/what-does-a-tech-lead-do/)
43:07 - Measuring Productivity
* Thinking Fast and Slow (https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555)
* How to Measure Anything (https://www.amazon.com/How-Measure-Anything-Intangibles-Business-ebook/dp/B00INUYS2U/ref=sr_1_1?dchild=1&keywords=How+to+Measure+Anything&qid=1586805526&s=books&sr=1-1)
* The Tyranny of Metrics (https://www.amazon.com/Tyranny-Metrics-Jerry-Z-Muller-ebook/dp/B07K458MZG/ref=sr_1_1?dchild=1&keywords=The+Tyranny+of+Metrics&qid=1586805544&s=books&sr=1-1)
* Engineering Career Development at Etsy (https://codeascraft.com/2019/10/02/engineering-career-development-at-etsy/)
45:48 - External vs Internal Data Science
* People Scientists
47:18 - Women and Diverse Representation in Data Science
* Groups & Resources
* AI Inclusive (https://www.ai-inclusive.org/)
* PyLadies (https://www.pyladies.com/)
* Data Umbrella: NYC URGs and Allies in Data Science (https://www.meetup.com/nyc-data-umbrella/)
* Black in AI (https://blackinai.github.io/)
* Harvey Mudd (https://www.hmc.edu/)
* Rice University (https://www.rice.edu/)
* Why Women Are Flourishing In R Community But Lagging In Python (https://reshamas.github.io/why-women-are-flourishing-in-r-community-but-lagging-in-python/)
Reflections:
Avdi: Mentorship does not have to be a huge commitment to be useful and sponsorship is often as important -- or more important than mentorship.
Chanté: What are the things that we’re willing to do for people who need an extra boost or push or support?
Jacob: Mentorship is possible without the mentors knowing they’re even doing it.
Rein: If you’re a mentor and your mentees aren’t coming to you with well-formed questions, it’s your job to coach them into that as a mentor.
Emily: There aren’t enough resources for senior engineers on the non-technical side of things.
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Special Guest: Emily Robinson.
