Anissa Tanweer is a Senior Social Scientist at the eScience Institute, an Affiliate Faculty member in the Department of Communication, and a sociotechnical expert for the Scientific Software Engineering Center (SSEC). She conducts ethnographic research on the practice and culture of computationally-mediated science, and applies a sociotechnical lens to the design and implementation of training programs in data-intensive academic research. Dr. Tanweer directs the UW Data Science for Social Good summer internship and ran the Data Science Studies Special Interest Group at UW from 2018-2021. Some of her recent publications include:

Academic data science: Transdisciplinary and extradisciplinary visions. (2024). Tanweer, A. & Steinhoff J. Social Studies of Science. https://doi.org/10.1177/03063127231184443
Data Science Ethos Lifecycle: Interplay of ethical thinking and data science practice. (2022). M. Boenig-Liptsin, A. Tanweer, A. Edmundson. Journal for Statistics and Data Science Education, 30(3). https://doi.org/10.1080/26939169.2022.2089411
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
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
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

In her free time, Anissa loves exploring the stunning natural beauty of the Pacific Northwest with her husband and daughter.

Expertise:

Ethnography
Qualitative methods
Data science ethics
Human-centered data science