Research Scientist, Human-Centered Data Science
I conduct ethnographic research on the practice and culture of data science, and bring a sociotechnical lens to bear on the design and implementation of data science training programs. I leverage action research to foster more reflexive, ethical data science practices.
I serve as the Program Chair for the UW Data Science for Social Good summer internship, and from 2018-2021 I ran the Data Science Studies Special Interest Group at the University of Washington. My dissertation, “Data science of the social: How the field is responding to ethical crisis and spreading across sectors” won the University of Washington’s 2018 Distinguished Dissertation Award in the Social Sciences. I’ve published in journals such as Big Data & Society, the Harvard Data Science Review, and Information, Communication & Society.
My most recent publications include:
Tradeoffs all the way down: Ethical abduction as a decision-making process for data-intensive technology development. (2022). A. Tanweer. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221101351
Data Science Ethos Lifecycle: Interplay of ethical thinking and data science practice. (Forthcoming, published online 18 July 2022). M. Boenig-Liptsin, A. Tanweer, A. Edmundson. Journal for Statistics and Data Science Education. https://doi.org/10.1080/26939169.2022.2089411
Interrogating human-centered data science: Taking stock of opportunities and limitations. (2022). A. Tanweer, C. Aragon, M. Muller, S. Guha, S. Passi, G. Neff, M. Kogan. In CHI EA ’22: CHI Conference on Human Factors in Computing Systems Extended Abstracts. https://doi.org/10.1145/3491101.3503740
The data for good growth map: Decision points for designing a university-based data for good program. (2022). D. Dailey, S. Stone & A. Tanweer. https://escience.washington.edu/wp-content/uploads/2021/11/Data4Good_GrowthMap.pdf
Why the data revolution needs qualitative thinking. (2021). A. Tanweer, E. K. Gade, P. M. Krafft, S. K. Dreier. Harvard Data Science Review, 3(3). https://doi.org/10.1162/99608f92.eee0b0da
- Hours – please email to make an appointment
- Qualitative methods
- Data science ethics
- Human-centered data science