For its volume, velocity, and variety (the 3 Vs), big data has been ever more widely used for decision-making and knowledge discovery in various sectors of contemporary society. Since recently, a major challenge increasingly recognized in big data processing is the issue of data quality, or the...
Case Study—We report on a two-year project focused on the design and development of data analytics to support the cloud services division of a global IT company. While the business press proclaims the potential for enterprise analytics to transform organizations and make them ‘smarter’ and more...
Article 6 in the series Data, Design and Civics: Ethnographic Perspectives How must we conjure up smart spaces? ‘Smart city’ has become an over-indulged urban metaphor, whipping up an apparition of dispersed, highly networked and interconnected socio-economic, infrastructural and communication...
Case Study—This case-study details how a team of anthropologists and a team of data scientists sought to help a Middle Eastern theme park make use of their big data platform to measure ‘the good customer experience’. Ethnographic research within the theme park revealed that visitors yearned to...
Article 4 in the series Data, Design and Civics: Ethnographic Perspectives On April 1, Secretary of Defense Ashton Carter announced a $317 million federally funded initiative in textile innovation and manufacturing—a national consortium of public and private organizations to be led by MIT. It’s...
Few professions appear more at odds, at least on the surface, than ethnography and data science. The first deals in qualitative “truths,” gleaned by human researchers, based on careful, deep observation of only a small number of human subjects, typically. The latter deals in quantitative “truths,”...
Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality...
New deployments of foundational AI models in digital products have expanded public engagement with synthetic...
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...
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...