A key challenge in carrying out product design research is obtaining rich contextual information about use in the wild. We present a method that algorithmically mediates between participants, researchers, and objects in order to enable real-time collaborative sensemaking. It facilitates contextual...
Genre: Paper
Screenplay, Novel, and Poem: The Value of Borrowing From Three Literary Genres to Frame Our Thinking as We Gather, Analyze, and Elevate Data in Applied Ethnographic Work
Applied ethnography still struggles with the fundamental challenges of (1) framing research to obtain ‘thick’ data, (2) making sense of data in teams and with clients, and (3) making a convincing case with data in challenging environments. We have observed that borrowing from literary genres can...
Human Sensemaking in the Smart City: A Research Approach Merging Big and Thick Data
This paper aims to contribute to the debate on the integration of ethnography and data science by providing a concrete research tool to deploy this integration. We start from our own experiences with user research in a data-rich environment, the smart city, and work towards a research tool that...
Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms
As algorithms play an increasingly important role in the lives of people and corporations, finding more effective, ethical, and empathetic ways of developing them has become an industry imperative. Ethnography, and the contextual understanding derived from it, has the potential to fundamentally...
International Business Ethnography: Are We Looking for Cultural Differences?
In international business ethnography, clients and subjects don’t share the same background. Without an understanding of the underlying factors affecting the subject’s behaviors, data can lead to false home-market based assumptions about cause and effect. Where do we as researchers look to detect...
How Modes of Myth-Making Affect the Particulars of DS/ML Adoption in Industry
The successes of technology companies that rely on data to drive their business hints at the potential of data science and machine learning (DS/ML) to reshape the corporate world. However, despite the headway made by a few notable titans (e.g., Google, Amazon, Apple) and upstarts, the advances...
The Perfect uberPOOL: A Case Study on Trade-Offs
Case Study—One of Uber’s company missions is to make carpooling more affordable and reliable for riders, and effortless for drivers. In 2014 the company launched uberPOOL to make it easy for riders to share their trip with others heading in the same direction. Fundamental to the mechanics of...
Everyday Life in Tamil Nadu, India and Its Cost to “Free Basics”
This paper explores how the ‘Free Basics’ initiative in India got transformed into a national debate on ‘net neutrality’ principle and finally led to it being banned in India. Further, this paper will also use ethnographic data to analyse how this ‘controversial’ initiative was debated, the claims...
Merging Institutional Logics and Negotiated Culture Perspectives to Help Cross-Sector Partnerships Solve the World’s Most Wicked Problems
Showcasing a sixteen-month ethnographic study of a coalition to end homelessness in Western Canada, we show how the integration of two theoretical perspectives—institutional logics and negotiated culture—can be used as complementary, yet distinct lenses to better inform the practice of cross...
Walking the Interface: Uncovering Practices through ‘Proxy Technology Assessment’
This paper describes the method of “proxy technology assessment”, which implies the formalisation of using current technological objects available on the market to generate a richer understanding of future everyday life practices with new media technologies. First, the theoretical framework...