interdisciplinary research

“Every project is an opportunity to advocate for spatial justice and equitable design” – a conversation with Paola Aguirre Serrano

Paola Aguirre Serrano Q&A graphic
We can't wait to welcome Paola Aguirre Serrano, EPIC2023 keynote speaker, and hear her talk "Designing With: Collaboration Frameworks for Spatial Justice & Equitable Design." To get ready to engage with this crucial topic, we talked with Paola about the challenges and rewards of multidisciplinary work, ethnographic perspectives and practices that have been important to her, how she thinks about friction, and what she's most looking forward to at EPIC2023. You’re the founder of Borderless Studio, an urban design and research studio focused on approaches and collaboration frameworks addressing spatial justice and equitable design while cultivating collaborative design agency. What do borders and the concept of “borderless” mean to you? Borderless for me is a practice of resistance against fragmentation, silos and compartmentalized perspectives. Borderless is an invitation to collaborate, grounded in values of openness, civicness and publicness – and to use design as a tool to practice generosity, empathy and service...

Theory Instruments as Tangible Ways of Knowing

Presentation slide: Title is "Actor-Network Rings". Hows a wooden ball inside a wooden ring with clothespins attached to the ring. Text" Actor Network Theory: Highlights the complex networked relations of people and things that make up our socio-material worlds. This instrument brings attention to what humans and non-human accomplish together." Citation" Latour, B. 1982. Where are the missing masses? The sociology of a few mundane artifacts, in" Shaping Technology/Building Socity (eds) W.E. Bijker and U. Law. Cambridge: MIT Press.
JESSICA SORENSON Department of Design and Communication, University of Southern Denmark METTE GISLEV KJÆRSGAARD Department of Design and Communication, University of Southern Denmark JACOB BUUR Department of Design and Communication, University of Southern Denmark MARY KARYDA Department of Sociology and Environmental Economics, University of Southern Denmark AYŞE ÖZGE AĞÇA Department of Design and Communication, University of Southern Denmark [s2If is_user_logged_in()]DOWNLOAD PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] While ethnographers and the data they produce already play a role in affecting industry practices, there is potential to integrate anthropological ways of seeing and knowing into a shared transdisciplinary design praxis. In a series of design research experiments, we have taken a pragmatic and playful approach to physicalizing theory. The result is a set of ‘Theory Instruments’ that transform theory into tangible interaction. Theory Instruments scaffold knowledge production...

Data Walks into a Bar: A Love Story

TABITHA STEAGER Workday [s2If current_user_can(access_s2member_level1)] [/s2If] [s2If !is_user_logged_in()] Join EPIC to access video: → Learn about Membership → Browse Video Library [/s2If] [s2If current_user_is(subscriber)] Join EPIC to access video: → Learn about Membership → Browse Video Library [/s2If] [s2If is_user_logged_in()] [/s2If]PechaKucha Presentation As a qualitative researcher, I was always a bit afraid – if not disdainful – of quantitative data. This pecha kucha tells the uneasy love story of how and why I fell in love with quantitative data. Transitioning from life as an ethnographer who avoided quantitative work at any cost, I found myself working as an applied researcher using a method that relied heavily on large amounts of quantitative data. I had to learn how to tell a story using a data format with which I was relatively unfamiliar. I was also doubtful about quantitative data and that it was often privileged over qualitative work and angry at the power it sometimes held over...

Hybrid Methodology: Combining Ethnography, Cognitive Science, and Machine Learning to Inform the Development of Context-Aware Personal Computing and Assistive Technology

MARIA CURY* ReD Associates ERYN WHITWORTH* Facebook Reality Labs *Lead co-authors[s2If is_user_logged_in()]DOWNLOAD PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] The not-too-distant future may bring more ubiquitous personal computing technologies seamlessly integrated into people's lives, with the potential to augment reality and support human cognition. For such technology to be truly assistive to people, it must be context-aware. Human experience of context is complex, and so the early development of this technology benefits from a collaborative and interdisciplinary approach to research — what the authors call “hybrid methodology” — that combines (and challenges) the frameworks, approaches, and methods of machine learning, cognitive science, and anthropology. Hybrid methodology suggests new value ethnography can offer, but also new ways ethnographers should adapt their methodologies, deliverables, and ways of collaborating for impact in this space. This paper outlines a few of the data collection...

Ethnographic Agency in a Data Driven World

NADINE LEVIN Facebook [s2If is_user_logged_in()]DOWNLOAD PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] This paper argues that ethnographers can gain increased agency in data-driven corporate environments by increasing their quantitative literacy: their ability to create, understand, and strategically use quantitative data to shape organizations. Drawing on the author's experience conducting strategic user research at a technology company, the paper explores how the ability to engage with quantitative data can increase ethnographers’ independence and autonomy within organizations, and can also up-level the role and value of qualitative research. The paper also explores how a deep familiarity with quantitative data can enable ethnographers to imbue quantitative data itself with new forms of agency, and can ultimately give ethnographers the tools to change institutions from within. With a greater understanding of how quantitative data is made and used, ethnographers can ensure that data is collected in...

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

MARIA CURY ReD Associates MICHELE CHANG-MCGRATH ReD Associates [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] 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 be effective in addressing these challenges. We therefore argue that in an age of data science, it is just as important to draw from the literary arts when gathering, analyzing, and elevating evidence to inspire change in applied ethnographic work. We raise three specific applications of literary genres to distinct project phases, to improve how data is collected and analyzed, and how data travels. In this paper we show: (1) how the screenplay can help solve challenges in research framing, to obtain thicker data; (2) how the novel can help solve challenges in analysis, to...

Designing for Interactions with Automated Vehicles: Ethnography at the Boundary of Quantitative-Data-Driven Disciplines

MARKUS ROTHMÜLLER School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark and Shift Insights & Innovation Consulting PERNILLE HOLM RASMUSSEN School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark SIGNE ALEXANDRA VENDELBO-LARSEN School of Architecture, Design and Planning, Aalborg University Copenhagen, Denmark [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] Case Study—This case study presents ethnographic work in the midst of two fields of technological innovation: automated vehicles (AV) and virtual reality (VR). It showcases the work of three MSc. Techno-Anthropology students and their collaboration with the EU H2020 project ‘interACT’, sharing the goal to develop external human-machine interfaces (e-HMI) for AVs to cooperate with human road users in urban traffic in the future. The authors reflect on their collaboration with human factor researchers, data scientists, engineers, experimental researchers,...

Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms

MILLIE P. ARORA MIKKEL KRENCHEL JACOB MCAULIFFE ReD Associates POORNIMA RAMASWAMY Cognizant [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] 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 change the way that data science is done. Reciprocally, engaging with data science can help ethnographers focus their efforts, build stronger and more precise insights, and ultimately have greater impact once their work is incorporated into the algorithms that increasingly power our society. In practice, building contextually-informed algorithms requires collaboration between human science and data science teams who are willing to extend their frame of reference beyond their core skill areas. This paper aims to first address the features...

ReHumanizing Hospital Satisfaction Data: Text Analysis, the Lifeworld, and Contesting Stakeholders’ Beliefs in Evidence

JULIA WIGNALL Seattle Children's Hospital DWIGHT BARRY Seattle Children's Hospital [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] Case Study—Declining clinician engagement, increasing rates of burnout, and stagnant patient and family experience scores have led hospital leadership at Seattle Children's Hospital to submit requests to a data scientist and an anthropologist to identify key themes of survey comments and provide recommendations to improve experience and satisfaction. This study explored ways of understanding satisfaction as well as analytic approaches to textual data, and found that various modes of evidence, while seemingly ideal to leaders, are hard pressed to meet their expectations. Examining satisfaction survey comments via text mining, content analysis, and ethnographic investigation uncovered several specific challenges to stakeholder requests for actionable insights. Despite its hype, text mining struggled to identify actionable themes, accurate sentiment,...

The Perfect uberPOOL: A Case Study on Trade-Offs

JENNY LO Uber Technologies STEVE MORSEMAN Uber Technologies [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] 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 uberPOOL is the intelligence that matches riders for a trip, which can introduce various uncertainties into the user experience. Core to the business objective is understanding how to deliver a ‘Perfect POOL’—an ideal situation where 3 people in the vehicle are able to get in and out at the same time and location allowing for a more predictable and affordable experience. This case study argues that, for a reduced fare and a more direct route, riders are willing to forego the convenience of getting picked up at their door in exchange for waiting and walking a set...

Humans Can Be Cranky and Data Is Naive: Using Subjective Evidence to Drive Automated Decisions at Airbnb

STEPHANIE CARTER Airbnb RICHARD DEAR Airbnb [s2If is_user_logged_in()] Download PDF [/s2If] [s2If current_user_can(access_s2member_level1)] [/s2If] 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...

Data Science and Ethnography: What’s Our Common Ground, and Why Does It Matter?

by TYE RATTENBURY (Salesforce) & DAWN NAFUS (Intel) As EPIC2018 program co-chairs, we developed the conference theme Evidence to explore how evidence is created, used, and abused. We’ll consider the core types of evidence ethnographers make and use through participant observation, cultural analysis, filmmaking, interviewing, digital and mobile techniques, and other essential methods, as well as new approaches in interdisciplinary and cross-functional teams.1 We’ve also made a special invitation to data scientists to join us in Honolulu to advance the intersection of computational and ethnographic approaches. Why? One of us is a data scientist (Tye) and the other an ethnographer (Dawn), both working in industry. We regularly see data science and ethnography conceptualized as polar ends of a research spectrum—one as a crunching of colossal data sets, the other as a slow simmer of experiential immersion. Unfortunately, we also see occasional professional stereotyping. A naïve view of “crunching” can make it seem...