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

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.

Previous Parts:

  1. Part 1
  2. Part 2

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

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 1 of 3)

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.

Here are Part 2 and Part 3 of the interview.

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.

To learn more about Gemma’s and Eticas’s work:

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

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 2 of 3)

Here is the second part of three in my conversation with Gemma Clavell. We compared various corporate models – good and bad – for artificial intelligence and how to foster responsible corporate practices in this field.

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.

Here is Part 1 and Part 3 of our interview.

To learn more about Gemma’s and Eticas’s work:

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

The Promises and Failures of Current Artificial Intelligence Technology: An Interview with Gemma Clavell at Eticas (Part 3 of 3)

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.

Here is Part 1 and Part 2 of our interview.

To learn more about Gemma’s and Eticas’s work:

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

Maker Anthropologist in the Tech Field: Interview with Astrid Countee (Interview #1 in the Interview Series)

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:


Over our conversation, we discussed the following:

  1. Astrid’s work as a technologist and anthropology
  2. Strategies for how to develop programming and data skills as an anthropologist
  3. Astrid’s experiences developing and using statistical and data science tools in her work
  4. The importance of maker anthropology

Our conversation touched on a variety of exciting topics, which I hope to follow-up on in more detail in the coming months. I hope you enjoy.


To learn more about Astrid and her work, see her LinkedIn page: https://www.linkedin.com/in/astridcountee

Here are the various items that she mentioned during the conversation:

Thanks, Astrid, for being willing to share your insights.

Next Interview in the Interview Series: https://ethno-data.com/schaun-interview-1/

Data Scientist, Anthropologist, and Entrepreneur: Interview with Schaun Wheeler (Interview #2 in the Interview Series)

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:


Over our conversation, we discussed the following:

  • Schaun’s experiences as both a data scientist and anthropologist
  • His utilization of anthropology within data science to decipher the right problem before launching into data science solutions
  • Recommendations for how anthropologists can develop data science and programming skills
  • His experiences starting a new data science consumer and market-research based company

To learn more about Schaun Wheeler and Aampe, check these out:

LinkedIn (the best way to contact him): https://www.linkedin.com/in/schaunwheeler/

Medium: https://medium.com/@schaun.wheeler

Twitter: https://twitter.com/schaunw

Aampe website: https://www.aampe.com/

Aampe blog: https://www.aampe.com/blog

A User Story, The Data Science Children’s Book: https://www.aampe.com/blog/a-user-story

More Detailed Walkthrough: Clip #1: https://www.youtube.com/playlist?list=PL03WDMCL2PHjRd8Y8USzvVkcIyQM57FMU and Clip #2: https://youtu.be/kwk_Ot8orPY

Previous Interview in the Interview Series: https://ethno-data.com/astrid-interview-1/

Anthropologist in Fintech: Interview with Priyanka Dass Saharia (Interview #3 in the Interview Series)

For my third interview in the Interview Series, I interviewed Priyanka Dass Saharia. Priyanka Dass Saharia is an anthropologist working in tech startups, mostly seed to early venture stage in their product development. These companies broadly fall under the rubric of tech-based initiatives that aim to accelerate positive social, environmental and governance change. To do this, she routinely employs a variety of qualitative and quantitative techniques. In addition to anthropology, she has also studied economics and sociology in both India, where she grew up, and the United Kingdom, where she currently resides.

Over our conversation, we discussed the following:

  • Priyanka’s experiences as an anthropologist in tech, including her current work in fintech
  • Strategies for socially and environmentally equitable entrepreneurial investment
  • Skills anthropologists might need when working in tech and suggestions for how to develop them
  • Recommendations for how anthropologists can cultivate their quantitative thinking

To learn more about Priyanka Dass Saharia, check these out:

Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry Part 1 of 3 (Interview #4 in the Interview Series)

For my fourth interview in the Interview Series, I interviewed Emi Harry. This is the first part of three of our conversation. Emi Harry is the co-founder of Naina Tech Inc., a New York-based tech startup that is poised to launch an adaptive learning platform for early childhood education in the U.S. and Nigeria’s underserved communities. As a highly skilled data scientist and social entrepreneur, Harry is also on the board of Alula Learning, an EdTech learning management systems provider, and Manna, a health and nutrition company, both in Nigeria. She has had a diverse professional experience, having worked in the food, oil and gas, entertainment, and fashion industries in Nigeria, as well as the entertainment, non-profit, and education industries in the United States. Currently, she balances her time between working in tech, creative writing, and fashion designing.

Her educational qualifications include B.S. in Mathematics, University of Lagos, Nigeria; Master’s in Social Entrepreneurship, Hult International Business School, San Francisco; M.Sc. in Data Analytics/Science, Fordham University, New York, and is on track to earn a M.Sc. in Computer Science from Pace University New York.

During this first part of our conversation, we discussed the data science company she founded and how she learned data science. 

Links to the next two parts of the interview:

To learn more about Emi Harry, check these out:

Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry Part 2 of 3 (Interview #5 in the Interview Series)

This is the second part of my interview with Emi Harry as part of my Interview Series. In it, she discusses her experiences of racial discrimination in data science as a black woman, how she manages her dual background in data science and fashion, and how she leverages her storytelling and communication skills as a data scientist.  If you would like to start at the beginning of my interview with her, click here.

Links to the other two parts of the interview:

Emi Harry is the co-founder of Naina Tech Inc., a New York-based tech startup that is poised to launch an adaptive learning platform for early childhood education in the U.S. and Nigeria’s underserved communities. As a highly skilled data scientist and social entrepreneur, Harry is also on the board of Alula Learning, an EdTech learning management systems provider, and Manna, a health and nutrition company, both in Nigeria. She has had a diverse professional experience, having worked in the food, oil and gas, entertainment, and fashion industries in Nigeria, as well as the entertainment, non-profit, and education industries in the United States. Currently, she balances her time between working in tech, creative writing, and fashion designing.

Her educational qualifications include B.S. in Mathematics, University of Lagos, Nigeria; Master’s in Social Entrepreneurship, Hult International Business School, San Francisco; M.Sc. in Data Analytics/Science, Fordham University, New York, and is on track to earn a M.Sc. in Computer Science from Pace University New York.

To learn more about Emi Harry, check these out:

Data Scientist, Entrepreneur, and Artist: Interview with Emi Harry Part 3 of 3 (Interview #6 in the Interview Series)

This is the third part of my interview with Emi Harry as part of my Interview Series. In it, she discusses her dual identify as a data scientist and entrepreneur, including how what it takes to be an entrepreneur, her experiences starting a data science company and recommendations she has for any data scientists considering starting their own.

Emi Harry is the co-founder of Naina Tech Inc., a New York-based tech startup that is poised to launch an adaptive learning platform for early childhood education in the U.S. and Nigeria’s underserved communities. As a highly skilled data scientist and social entrepreneur, Harry is also on the board of Alula Learning, an EdTech learning management systems provider, and Manna, a health and nutrition company, both in Nigeria. She has had a diverse professional experience, having worked in the food, oil and gas, entertainment, and fashion industries in Nigeria, as well as the entertainment, non-profit, and education industries in the United States. Currently, she balances her time between working in tech, creative writing, and fashion designing.

Her educational qualifications include B.S. in Mathematics, University of Lagos, Nigeria; Master’s in Social Entrepreneurship, Hult International Business School, San Francisco; M.Sc. in Data Analytics/Science, Fordham University, New York, and is on track to earn a M.Sc. in Computer Science from Pace University New York.

Links to the first two parts of the interview:

To learn more about Emi Harry, check these out: