Anissa Tanweer

Anissa Tanweer
University of Washington Seattle | UW · Department of Communication

About

10
Publications
1,217
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167
Citations
Introduction
I am interested in how data-intensive methods are transforming the way we construct knowledge and make decisions. Specifically, I study how people and organizations use big data, data science, and algorithmic mediation to address social problems. My research approach incorporates a range of qualitative, ethnographic methods that include immersive participant observation, interviews, and document analysis. My work resides at the intersection of communication studies, science and technology studies, and organizational studies.

Publications

Publications (10)
Article
Ample scholarship demonstrates that data-intensive technologies have the capacity to cause serious harm and that their developers are obliged to address ethics in their work. This ethnographic paper tells the story of data scientists attempting to instantiate a carefully considered ethical vision into a data infrastructure while balancing competing...
Article
Full-text available
Crucial for a barrier-free city, equitable pedestrian access allows people with different abilities to independently access streets and services using relevant information. Pedestrians require both static and transient information regarding the street environment. Government stakeholders—such as municipalities, transportation agencies, and city pla...
Article
Full-text available
Ethics in the emerging world of data science are often discussed through cautionary tales about the dire consequences of missteps taken by high profile companies or organizations. We take a different approach by foregrounding the ways that ethics are implicated in the day-to-day work of data science, focusing on instances in which data scientists r...
Article
Full-text available
What would data science look like if its key critics were engaged to help improve it, and how might critiques of data science improve with an approach that considers the day-to-day practices of data science? This article argues for scholars to bridge the conversations that seek to critique data science and those that seek to advance data science pr...
Article
As the era of ‘big data’ unfolds, researchers are increasingly engaging with large, complex data sets compiled from heterogeneous sources and distributed across networked technologies. The nature of these data sets makes it difficult to grasp and manipulate their materiality. We argue that moments of breakdown – points at which progress is stopped...
Conference Paper
Full-text available
During the Summer of 2015, the University of Washington eScience Institute ran an interdisciplinary summer internship program focused on urban informatics, civic engagement, and data-intensive social science. Borrowing elements from the successful Data Science for Social Good (DSSG) programs at the University of Chicago and Georgia Tech, and buildi...

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