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.
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.
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.
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.
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.
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:
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.
This is the third and final part of three in our conversation. In Part 3, he discussed why he decided to study anthropology for his business work and how that helped give him the skills for the work he does today.
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.
I spoke with Gemma Galdon-Clavell, founder of Eticas Foundation and Eticas Consulting about the social implications of artificial intelligence technologies. In this first part, we discussed the policy strategies for ensuring that our data and artificial intelligence systems built on our data are good quality, safe, and accountable.
Dr. Gemma Galdon-Clavell is a leading voice on technology ethics and algorithmic accountability. She is the founder and CEO of Eticas, where her multidisciplinary background in the social, ethical, and legal impact of data-intensive technology allows her and her team to design and implement practical solutions to data protection, ethics, explainability, and bias challenges in AI. She has conceived and architected the Algorithmic Audit Framework which now serves as the foundation for Eticas’s flagship product, the Algorithmic Audit.
This is the third and final part of three in our conversation. In Part 3, she described the skills and types of people necessary to build and assess artificial intelligence teams.
Dr. Gemma Galdon-Clavell is a leading voice on technology ethics and algorithmic accountability. She is the founder and CEO of Eticas, where her multidisciplinary background in the social, ethical, and legal impact of data-intensive technology allows her and her team to design and implement practical solutions to data protection, ethics, explainability, and bias challenges in AI. She has conceived and architected the Algorithmic Audit Framework which now serves as the foundation for Eticas’s flagship product, the Algorithmic Audit.
For my first interview in the Interview Series, I interviewed Astrid Countee. She is a business anthropologist and technologist with a background in anthropology, software engineering, and data science. She currently works as a user researcher at the peer-to-peer distributed company Holo, as a research associate at The Plenary, as an arts and education nonprofit, and as a co-founder of Missing Link Studios which distributes the This Anthro Life podcast.
If the audio does not play on your computer, you can download it here:
For my second interview in the Interview Series, I interviewed Schaun Wheeler. Schaun is co-founder of Aampe, a startup that embeds an active learning system into mobile apps to turn push notifications into part of the app’s user interface. Before he co-founded Aampe, Schaun was the data science lead for the award-winning Consumer Graph intelligence product at Valassis, a U.S. ad-tech firm. And before that he founded and directed the data science team at Success Academy Charter Schools in New York City. Then before that, Schaun was one of the first people to champion the use of statistical inference to understand massive unstructured data at the United States Department of the Army. Schaun has a Ph.D. in Cultural Anthropology from the University of Connecticut.
If the audio does not play on your computer, you can download it here:
