Women in Analytics After Hours

Dr. Tanya Berger-Wolf joins us to discuss the development of computational ecology, the latest in the field of conservation AI, and the new field of study that she has established, known as Imageomics.

About Dr. Berger-Wolf

Dr. Tanya Berger-Wolf is a Professor of CS Engineering, Electrical & Computer Engineering, and Evolution, Ecology and Organismal Biology at The Ohio State University, where she is also Director of the Translational Data Analytics Institute. She was awarded a US National Science Foundation $15M grant to establish a new Harnessing Data Revolution Institute, founding a new field of study: Imageomics.

As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. She creates computational solutions to address questions such as how environmental factors affect the behavior of social animals (humans included).

She a director/co-founder of the conservation software non-profit Wild Me, home of the Wildbook project, which was recently chosen by UNSECO as one of the top AI 100 projects worldwide supporting the UN Sustainable Development Goals. It's been featured in media including Forbes, The NYTimes, CNN, NatGeographic, and The Economist.

Prior to coming to OSU in January 2020, Berger-Wolf was at the University of Illinois at Chicago. Berger-Wolf holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. She has received numerous awards for her research and mentoring, including University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.

Relevant Links

- Biometric animal databases from field photographs: identification of individual zebra in the wild (Paper)

- StripeSpotter (Google Code Archive)

- HotSpotter-Patterned species instance recognition (Paper)

- Some like it hot: Repeat migration and residency of whale sharks within an extreme natural environment (Paper)

- International Union for the Conservation of Nature

- Science and Method (Book by Henri Poincaré)

- iNaturalist

- Gregor Mendel (Wikipedia page)

- Mendel's experiments (Article)

- eBird

- Imageomics

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Overview

Shinji Kim, Founder and CEO of Select Star, joins us to discuss what it means to govern and manage data in modern organizations, and how companies can set themselves up for success when getting started.

This episode was recorded live at the 2022 DataConnect Conference. Special thank you to WIA Advisory Board Member Dave Cherry for assistance in preparation.

About Shinji Kim

Shinji is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Shinji studied Software Engineering at University of Waterloo and General Management at Stanford GSB. She advises early stage startups on product strategy, customer development, and company building.

Relevant Links

- Select Star (Shinji's company)

- Designing Data-Intensive Applications (Book by Martin Kleppmann)

- Concord Systems, Inc. (Shinji's previous company that was acquired by Akamai)

- Apache Kafka (Software)

- Apache Samza (Software)

- Shinji's Articles on Medium

Follow Select Star

- Select Star on Medium

- Select Star on LinkedIn

- Select Star on Twitter

Follow Shinji

- LinkedIn

- Twitter

Follow Lauren

- LinkedIn

- Twitter

- Website

Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Overview

Meghan Hall, Data Analyst and R Educator, joins us to discuss her unique path into Hockey Analytics, how open source can be a stepping stone to new skills and career paths, and how your public or open source work can lead to opportunities. As a community-taught R programmer, Meghan also dives into how she has benefited from and contributes to community education.

About Meghan Hall

Meghan Hall has spent over seven years as a data professional in higher education. She also has experience in sports analytics, as an ongoing contributor to the public community and previously as a data scientist at Zelus Analytics. She is dedicated to R education, particularly for beginners, and frequently delivers talks, workshops, and classes.

Relevant Links

- Hockey Graphs

- Meghan's Articles on Hockey Graphs

- Blue Jackets Hockey Analytics Conference (Hosted in Columbus in February 2020)

- RStudio Conference

- Cultivating Your Own R Ecosystem as a Solo Contributor (Meghan's RStudio Conf talk)

- Articulation (Conference Speaker Coaching)

- R for Data Science (Book)

- GitHub

Follow Meghan

- Twitter

- Website

- Tableau

- GitHub

Follow Lauren

- LinkedIn

- Twitter

- Website

Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.

Tracy Teal, Open Source Program Director at RStudio, joins us to explore the practices, challenges, and structural aspects of managing and maintaining open source projects. She also shares with us a few of her favorite new and exciting things in the world of open source.

This episode was recorded live at the 2022 DataConnect Conference.

About Tracy Teal

Tracy Teal is the Open Source Program Director at RStudio and previously the Executive Director of The Carpentries. She has been working with open source communities, developing curriculum, and teaching people how to work with data and code as a developer, instructor, and project leader throughout her career.

Relevant Links

- Every Other Thursday (Book)

- Data Umbrella (Organization)

- PyMC-Data Umbrella Sprints (Event Series)

- DataKind (Organization)

- Data Science for Social Good (Organization)

- Paper on running inclusive hackathons (Paper, by Daniela Huppenkothen et al.)

- The Carpentries (Organization)

- Data Carpentry (Organization)

- ROpenSci (Organization)

- R-Ladies (Organization)

- PyLadies (Organization)

- CSCCE, Center for Scientific Collaboration and Community Engagement

- Tidyverse (Collection of R packages)

- Quarto (Open-source scientific and technical publishing system built on Pandoc)

- RStudio (Organization)

- @rstudio_glimpse (Twitter Account)

Follow Tracy

Twitter

LinkedIn

GitHub

Wikipedia

Follow Lauren

LinkedIn

Twitter

Website

Transcript

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Elizabeth Gilbert, a Product Data Analyst at Olive, joins us to dive into the vast and unique vocabulary of data and analytics and help us to make sense of it all.

This episode was recorded live at the 2022 DataConnect Conference.

About Elizabeth Gilbert

Elizabeth is a Product Data Analyst at Olive and the organizer of the Cincinnati Data Science Meetup. Formerly, Elizabeth helped lead the Big Data and Analytics Association at The Ohio State University, where she empowered and connected students interested in analytics to get into the industry. She cares about everyone having the vocabulary of data and analytics.

Relevant Links:

- CRISP DM

- Crash Course in Analytics: Data Science for Startups, Elizabeth's webinar with Greg Sweeney

- The Venn Diagram of Data Science

- Gartner's Analytics Maturity Model

- Cincinnati Data Science Meetup Events

- DataConnect Conference

Follow Elizabeth:

LinkedIn

Website

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Podcast Transcript

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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.