Here is the fourth and final part of my interview with Gideon Singer, Director of Spacial Data Science at Litterati, for my Interview Series. He describes the strategies he uses to collect data as a garbologist and data scientist.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
