User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 2 of 3)

In this second part of my interview with Anna Wu, she describes the interconnections between data science and qualitative UX research.

Here is the first interview if you would like to start from scratch, and here is more information about Interview Series that this is a part of.

Here is Part 1 and Part 3 of our interview.

Anna Wu, established leader in building and leading high-performing data teams to drive changes impacting hundreds of millions of users. Currently as a research manager at Google, she leads a team of quantitative UX researchers applying UX methods and large scale analytics to inform Cloud product development. 

Before this recent chapter, Anna had 10+ years practicing UX and data science at top IT companies and research labs as a UX researcher, data scientist, research scientist at Microsoft, IBM Research and Palo Alto Research Center. She got her PhD in HCI from Penn State and master/bachelor degrees from Tsinghua University.

Resources mentioned:

Data Science and Game Design: Conversation with Clayton Sisson (Part 1 of 3)

Clayton Sisson is a game designer and aspiring data scientist, passionate about how data science can shed light on human behavior. For the next installment of my Interview Series, we discuss ways to use game design and UX design to develop usable and useful machine learning products and their experiences transitioning from design into data science. In this first part, we discuss the connections between data science and game design.

Here is Part 2 and Part 3 of our interview.

Resources:

Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part Three)

Here is the third part of my interview with Gideon Singer, Director of Spacial Data Science at Litterati, for my Interview Series. He discusses how the interconnections he has found between data science and garbology.

Here is Part 1, Part 2, and Part 4 of our interview.

Gideon Singer is an applied anthropologist in the business of exploring societies through the waste, litter, rubbish, and other detritus they leave behind. As a self-proclaimed digital garbologist, his work juxtaposes digital ethnography with archaeology and spatial data science.

Resources:

Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part Two)

Here is the second part of my interview with Gideon Singer, Director of Spacial Data Science at Litterati, for my Interview Series. He describes garbology is and what kind of work he does as a data scientist garbologist.

Here is Part 1, Part 3, and Part 4 of our interview.

Gideon Singer is an applied anthropologist in the business of exploring societies through the waste, litter, rubbish, and other detritus they leave behind. As a self-proclaimed digital garbologist, his work juxtaposes digital ethnography with archaeology and spatial data science.

Resources:

Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part One)

I interviewed Gideon Singer, Director of Spacial Data Science at Litterati, for my Interview Series. He discusses his mission to combine garbology, anthropology, and data science to better understand humanity and the trash we leave behind. In this first part, he describes the connections he has found between these various fields.

Here is Part 2, Part 3, and Part 4 of our interview.

Gideon Singer is an applied anthropologist in the business of exploring societies through the waste, litter, rubbish, and other detritus they leave behind. As a self-proclaimed digital garbologist, his work juxtaposes digital ethnography with archaeology and spatial data science.

Resources:

Applying Computational Ethnography and Statistics to Vapor Wave: Interview with Tanner Greene (Part 2 of 2)

Here is the second part of three in my conversation with Tanner Greene. He discusses his strategies for transitioning from graduate school to UX research and his recommendations for any fellow student seeking to do the same.

Here is Part 1 of our interview.

Tanner Greene is a UX Researcher and Ph.D. Candidate at the University of Virginia, where he’s finishing a dissertation on the history of vaporwave, a music genre created on social media platforms. Tanner’s interests straddle math and the humanities, spanning digital cultures, user metadata, and a long-dormant statistics ability he wants to revive. In his spare time, Tanner enjoys writing about music, playing video games, and dreaming about learning SQL.

Resources We Referenced:

For more context on my interview series in general, click here.

Applying Computational Ethnography and Statistics to Vapor Wave: Interview with Tanner Greene (Part 1 of 2)

For my next installment in my Interview Series, I interviewed Tanner Greene. He recently received his doctorate from the University of Virginia for his research on the digital music genre, vapor wave. He primarily used qualitative means but has also taught himself Python to be able to employ quantitative textual analysis into his project. It is a good example of how to integrate qualitative digital ethnographic techniques with quantitative natural language processing.

In this first part, he discusses why he decided to study the vapor wave community and his experiences learning Python to conduct statistical analysis with.

Here is Part 2 of our interview.

Tanner’s interests straddle math and the humanities, spanning digital cultures, user metadata, and a long-dormant statistics ability he wants to revive. In his spare time, Tanner enjoys writing about music, playing video games, and dreaming about learning SQL.

Resources We Referenced:

For more context on my interview series in general, click here.

Interview Series: Introduction

woman wearing blue top beside table
Photo by Christina Morillo on Pexels.com

Many people who seek to integrate ethnography and data science have told me that they feel alienated or sidelined: like they are “lone wolves” having to figure out how to combine them without anyone or any resources to help them. Those who are interested in learning how to connect the two, in particular, tell me that they feel stuck without sufficient resources or support to explore connections between them. I do not think either anthropology and qualitative research or data science (two fields I am a part of) do a very good job understanding the other.

Thus, I started this interview series to highlight the experiences of those who in some way integrate ethnography with data science. My intent is to catalog their stories and ideas to help those considering doing similar work. I will interview people from a variety of backgrounds and industries (including anthropologists, data scientists, artists, software engineers, and so on) discussing what is most significant for them in their field.  In general, though, my interviews will focus on the following questions or themes:

    1. What is it like integrating data science and ethnography (or whatever other related activities or methodologies that particular person uses)?

    2. What skills and abilities have you found helpful for such work, and what recommendations do you have for cultivating those skills?

    3. How would you recommend education institutions and employers teach and/or foster these skills?

    4. How has your joint background influenced how you view and approach the world, data science, ethnography, and/or the disciplines or fields you are a part of?

I started conducting these interviews in the fall of 2021. After a brief break, I started what I am calling my “Season 2” of interviews in the fall of 2022 with an ever evolving list of professionals. I am thankful to talk with everyone I have, and I hope you enjoy them as well.

If you would like to be interviewed or know someone else doing this type of work who you would recommend I interview, please reach out to me on my Contact Me page. Feel free to also reach out if you have any particular burning questions that you would like to see me ask.

Season 1 Interviews:Date Posted:
Maker Anthropologist in the Tech Field: Interview with Astrid CounteeSeptember 8, 2021
Data Scientist, Anthropologist, and Entrepreneur: Interview with Schaun WheelerSeptember 21, 2021
Anthropologist in Fintech: Interview with Priyanka Dass SahariaOctober 18, 2021
Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry (Part 1 of 3)November 2, 2021
Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry (Part 2 of 3)November 16, 2021
Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry (Part 3 of 3)November 30, 2021
Anti-Corruption Anthropologist in Kazakhstan: Interview with Olga ShiyanDecember 14, 2021
Digital Anthropology and Artificial Intelligence: Interview with Scarleth HerreraJanuary 25, 2022
Season 2 Interviews:Date Posted:
Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 1 of 3)August 17, 2022
Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 2 of 3)August 31, 2022
Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 3 of 3)September 14, 2022
The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 1 of 3)September 28, 2022
The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 2 of 3)October 12, 2022
The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 3 of 3)October 26, 2022
Applying Computational Ethnography and Statistics to Vapor Wave: Interview with Tanner Greene (Part 1)November 9, 2022
Applying Computational Ethnography and Statistics to Vapor Wave: Interview with Tanner Greene (Part 2)November 22, 2022
Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part 1 of 4)December 6, 2022
Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part 2 of 4)December 20, 2022
Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part 3 of 4)January 3, 2023
Trash Data Science: Garbology, Anthropology, and Spatial Data Science – Conversation with Gideon Singer (Part 4 of 4)January 17, 2023
User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 1 of 3)January 31, 2023
User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 2 of 3)February 14, 2023
User-Centric Thinking in Data Science: Conversation with Anna Wu at Google Cloud (Part 3 of 3)February 28, 2023
Data Science and Game Design: Conversation with Clayton Sisson (Part 1 of 3)March 14, 2023
Data Science and Game Design: Conversation with Clayton Sisson (Part 2 of 3)March 28, 2023
Data Science and Game Design: Conversation with Clayton Sisson (Part 3 of 3)April 11, 2023
Data Science Storytelling: Quantitative UX Research in Google Cloud with Randy Au (Part 1 of 2)May 9, 2023
Data Science Storytelling: Quantitative UX Research in Google Cloud with Randy Au (Part 2 of 2)May 23, 2023

Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 1 of 3)

As part of my Season 2, I interviewed Matt Artz, a design anthropologist who has been recently working as a product manager in the tech space. In Part 1, he discussed his experiences making innovative software products as an anthropologist and product manager.

Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art.

For more context on my interview series in general, click here.


Resources we mentioned or other additional resources:

  • My website – https://www.mattartz.me/
  • LinkedIn – https://www.linkedin.com/in/matt-artz-anthropology/
  • Anthropology in Business podcast – https://www.mattartz.me/podcasts/anthropology-in-business-with-matt-artz/
  • Anthro to UX podcast – http://anthropologytoux.com/
  • Venn Diagram – https://www.ideou.com/pages/design-thinking
  • Book – https://www.ideo.com/post/design-kit

Tech Anthropologist Working and Product Manager: Interview with Matt Artz (Part 2 of 3)

This is the second part of three in our conversation. In it, he described his work developing data science-based recommendation systems using the concepts of design anthropology, participatory research, and design thinking, and then how he uses his skills as an anthropologist to visualize and communicate results and then plan what to do going forward with stakeholders.

Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art.

Please also see Part 1 of the interview.

For more context on my interview series in general, click here.


Resources we mentioned or other additional resources:

  • My website – https://www.mattartz.me/
  • LinkedIn – https://www.linkedin.com/in/matt-artz-anthropology/
  • Anthropology in Business podcast – https://www.mattartz.me/podcasts/anthropology-in-business-with-matt-artz/
  • Anthro to UX podcast – http://anthropologytoux.com/
  • Venn Diagram – https://www.ideou.com/pages/design-thinking
  • Book – https://www.ideo.com/post/design-kit