MADELEINE CLARE ELISH
Data & Society Research Institute
The wide-spread deployment of machine learning tools within healthcare is on the horizon. However, the hype around “AI” tends to divert attention toward the spectacular, and away from the more mundane and ground-level aspects of new technologies that shape technological adoption and integration. This paper examines the development of a machine learning-driven sepsis risk detection tool in a hospital Emergency Department in order to interrogate the contingent and deeply contextual ways in which AI technologies are likely be adopted in healthcare. In particular, the paper bring into focus the epistemological implications of introducing a machine learning-driven tool into a clinical setting by analyzing shifting categories of trust, evidence, and authority. The paper further explores the conditions of certainty in the disciplinary contexts of data science and ethnography, and offers a potential reframing of the work of doing data science and machine learning as “computational...
Case Study—How can we build fairness into automated systems, and what evidence is needed to do so? Recently, Airbnb grappled with this question to brainstorm ways to re-envision the way hosts review guests who stay with them. Reviews are key to how Airbnb builds trust between strangers. In 2018 we started to think about new ways to leverage host reviews for decision making at scale, such as identifying exceptional guests for a potential loyalty program or notifying guests that need to be warned about poor behavior. The challenge is that the evidence available to use for automated decisions, star ratings and reviews left by hosts, are inherently subjective and sensitive to the cross-cultural contexts in which they were created. This case study explores how the collaboration between research and data science revealed that the underlying constraint for Airbnb to leverage subjective evidence is a fundamental difference between ‘public’ and ‘private’ feedback. The outcome of this integrated,...
Nissan Research Center – Silicon Valley & Massachusetts Institute of Technology
Nissan Research Center – Silicon Valley
Nissan Research Center – Silicon Valley
We take the polysemy at the heart of autonomy as our focus, and explore how changing notions of autonomy are experienced and expressed by users of self-driving cars. Drawing from work-practice studies and sociomaterial approaches to understanding technologies, we discuss how driving as a task is destabilized and reconfigured by the introduction of increasingly automated systems for vehicle control. We report on the findings of a hybrid ethnographic experiment performed at Nissan Research Center – Silicon Valley, in which we video recorded interactions of 14 participants inside a simulated autonomous vehicle, and conducted semi-structured post-interviews. We look at the responses of our participants in light of three different themes of autonomy, which emerged through the analysis of the...
McGraw-Hill Education Download PDF
PechaKucha—This visual ethnography explores the hypothesis that some women in business subvert traditional power relationships by using existing stereotypes and all other tools at their disposal to become “right-hand women.” Drawing from examples of famous women in business and quotes from qualitative interviews with women from the U.S., Mexico and Colombia, “Looking to Right-Hand Women” tells the story of how some successful, intelligent women across several countries play a behind-the-scenes role in business, strategically impacting and influencing men in leadership positions to directly shape decision-making, and ultimately the path the business takes. Through the lens of navigating the highly nuanced challenges of operating as a woman in today's business world, this visual ethnography uncovers effective strategies for building trust and effecting change in the face of complex power dynamics. These strategies could potentially be applied by consultants...
by JOHANNES SUIKKANEN, Gemic & TOM HOY, Stripe Partners
A wonderful, diverse group actively participated in the Ethnography & Strategy Salon at EPIC2015 in São Paulo, and we’d like to share some of that experience with you. The Brazil group took the discussion into unexpected territories (just as we hoped) and now we call on you, the extended EPIC community, to take it further.
Although diverse, we are all confronting many of the same tensions regarding how we use ethnography to drive strategy. In this sense, listening to parallel stories was useful for learning, but also reassuring (on a personal level) to hear how such challenges are widely shared. There is great value in addressing them together. By offering a summary of main themes and provoking questions from this salon, we invite you to extend our thinking.
Many of Us Are Becoming Empathetic ‘Experience Stagers’
We started the salon with Tom’s story about a project in which he took the client to the field to experience firsthand what “real people” experience....
EMILIE GLAZER, ANNA MIECZAKOWSKI, JAMES KING and BEN FEHNERT
Adoption of digital support services is mediated by varying experiences of trust. This paper deconstructs the notion of trust in technology through a design-led research project on the long-term adoption of a telehealth service – a context at once complex and fragile. The investigated daily experience of patients and healthcare practitioners in the UK and Germany revealed negotiations of trust that blurred boundaries between domestic and medical, and between system smartness and individual responsibility. Implications extend to the role of technology in changing healthcare landscapes, what trust means in developing digital support services more generally, and how appreciating the fragility of trust can bring both risk and hope in uncertain and evolving worlds....
ALICE PEINADO, MAGDALENA JARVIN and CORINNE JOUANNY
This essay analyses how consensus was reached in a co-opetitive setting by looking at two, consecutive but related projects spanning from 14 to 18 months in length. The projects took place in Paris, France, between 2009 and 2013, and involved key players from the banking and insurance industry. FiDJi, short for Finance, Design et Joie d’Innover, was meant to test a new innovation method based on a design thinking approach. FAIR, short for Finance, Assurance & Innovation Responsable, was conceived as a sequel to FiDJi but had the more ambitious goal to develop a new methodology that, while using a design thinking approach as a starting mode, would provide an independent set of guidelines with respect to sustainable, responsible innovation. Consequently, the dynamic of each project varied, as did the end goals. Both projects took design thinking as a starting point but while FiDJi produced a new innovation methodology based on a user-centred design approach, FAIR had the more ambitious...
TODD S. HARPLE, GINA LUCIA TAHA, NANCY VUCKOVIC and ANNA WOJNAROWSKA
This case study on mobility in health care demonstrates how ethnography and design research helped Intel meet the business challenge of redressing market share. Ethnography enabled the team to assess the interplay between mobile devices and other hospital technologies, understand how they fit within or subverted existing practices, and document positive and negative features of the technology. Our deliverables not only answered the direct business question, but also expanded the scope of possible solutions....
ERIN B. TAYLOR and HEATHER A. HORST
How do users incorporate mobile money into their existing practices and adapt it to their needs? The answers can be surprising. Simultaneously a commodity, a store of value, and a social good, mobile money combines a large array of applications within the one platform. This is why mobile money has been touted for its potential for socioeconomic development, as a profitable commercial enterprise, and even as a tool for strengthening governance. The fact that customers rarely use it for just one purpose can also make it difficult to untangle customers’ motives and behaviors. In this paper we compare our own research with other studies to demonstrate how deploying a full suite of ethnographic methods (qualitative and quantitative) can provide significant insights into users. We present three key insights relating to time, trust, and traces / trajectories, and make suggestions for the future of mobile money research....