About

Graham Dove is an Assistant Professor of Technology Management and Innovation at the Center for Urban Science + Progress (CUSP) at NYU Tandon School of Engineering. He is a human-computer interaction researcher and designer, focusing on human-centered and participatory design approaches to artificial intelligence (AI), as well as creating data-enabled products, services, and artifacts. His research interests include interaction design, human-AI interaction, community science, data visualization, and interactive machine learning. Dove's work spans various application areas such as healthcare, where he has collaborated with clinicians treating neurological diseases like multiple sclerosis; community science and health advocacy, working with communities in NYC Chinatowns on noise and air quality concerns related to urban reconstruction projects; digital civics, engaging with NYC Open Data and BetaNYC to explore informal learning around community data use; and design for AI and machine learning, investigating design metaphors and methods for ideation and prototyping. He is also the co-director of the Human-Centered Technology, Innovation and Design PhD program at NYU. He teaches courses in digital civics and designing AI innovation, and is involved in research projects that emphasize community engagement, environmental impacts, and innovative design approaches to complex AI systems. Dove's work aims to ensure communities have a voice in smart city deployments and to develop human-centered AI solutions.

Research topics

• Computer Science
• Artificial Intelligence
• Geography
• Data Mining
• Data science
• Psychology
• Cognitive science
• Real-time computing
• Aesthetics
• Engineering
• Linguistics
• World Wide Web
• Civil engineering
• Human–computer interaction
• Cartography
• Art

Selected publications

• A Scoping Review of the Application of Phenomenology in Health Technology Design

  Open MIND · 2026-01-01

  otherOpen accessSenior author

  Self-tracking technology quantifies physiological measures with the aim of providing insight into healthcare contexts. However, prior research indicates that data produced by these technologies can be hard to interpret and lack meaningful connection to the lives of the people self-tracking. As a result, HCI researchers have increasingly highlighted the need for first-person perspectives and qualitative reflections on lived experience. Phenomenology offers key methods for approaching first-person perspectives and lived experiences, as well as a source of inspiration for design. With this in mind, we aim to investigate how HCI research has used phenomenological methods and theory to guide research into self-tracking and related healthcare topics. This protocol follows the PRISMA Extension for Scoping Reviews (PRISMA-ScR) checklist. It outlines the study’s rationale, objectives, and methodology, including eligibility criteria, information sources, search strategy, screening process, data extraction process, data items, and analysis approaches.

  PublisherDOI

• From the fear of “adding noise to the data” to the confidence to “bend the rules”: Contributor interactions with mapping conventions shape participation and data quality in OpenStreetMap

  GeoJournal · 2026-05-22

  articleSenior author
  PublisherDOI

• Less Hype, More Hope: A Framework for AI Capabilities and Digital Stewardship in Human Services Organizations

  Journal of Technology in Human Services · 2025-10-24

  article
  PublisherDOI

• Making/Unmaking with Metaphors: Generative Co-design with People Living with Chronic Pain

  2025-07-05

  articleOpen accessSenior author
  PublisherOA PDFDOI

• From Apps to Action: Which New Possibilities Emerge When We Connect Mobile Apps Through Shortcuts

  2025-09-03

  article
  PublisherDOI

• Design for Civic Quality of Life Things

  2025-04-24 · 1 citations

  article1st authorCorresponding
  PublisherDOI

• Design Knowledge in AI: Navigating Temporality and Continuity

  2025-07-05 · 1 citations

  articleOpen accessSenior author
  PublisherDOI

• "Data Is One Thing, But I Want To Know The Story Behind": Designing For Self-Tracking and Remote Patient Monitoring In The Context Of Multiple Sclerosis Care

  Designing Interactive Systems Conference · 2024-06-29 · 6 citations

  article1st authorCorresponding

  We report on design-focused inquiry into future multiple sclerosis (MS) healthcare; including a multi-stage design process with experienced MS clinicians, and formative evaluations with people living with MS. MS is a chronic, progressive, and unpredictable inflammatory neurological disease of the central nervous system that affects at least 2.8 million people worldwide. Walking impairments affect up to 85% of people diagnosed with MS. Responding to this, our focus is on design for longitudinally monitoring mobility, and in particular using wearable sensors that generate data on gait metrics to support clinical and self-care decision-making. We contribute to HCI research in three ways: (1) a detailed case study design process, including artifacts; (2) metaphorical framing concepts, with associated use cases illustrated through design scenarios; and (3) understanding of virtual-first practices in rehabilitation medicine that can be translated beyond MS care.

  PublisherDOI

• From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care

  2024-08-26 · 2 citations

  articleOpen access

  Hospital physicians must navigate through vast quantities of patient information represented in text-based reports. Although intended to improve patient care, their effectiveness hinges on each physician’s ability to successfully handle and interpret fragmented information from diverse sources. The increasing automation of text interactions are a potential support but are still at the early phase of implementation in real-world scenarios. We observed 144 hours of clinical shifts in a German internal medicine hospital and collected structured field notes on physicians’ current practices with text-based reports to enrich existing understanding of the requirements for including automation to clinical text. We identified medical discharge letters as most frequently consulted text document and a qualitative analysis of the field notes revealed that this document acts as a key artifact that serves different roles and purposes in the hospitalization of a patient. Based on our findings we discuss possible loss of these nuanced uses through automation and propose design implications for medical text reports.

  PublisherDOI

• Signs of the Smart City: Exploring the Limits and Opportunities of Transparency

  2024-05-11 · 6 citations

  articleOpen accessSenior author

  This paper reports on a research through design (RtD) inquiry into public perceptions of transparency of Internet of Things (IoT) sensors increasingly deployed within urban neighborhoods as part of smart city programs. In particular, we report on the results of three participatory design workshops during which 40 New York City residents used physical signage as a medium for materializing transparency concerns about several sensors. We found that people’s concerns went beyond making sensors more transparent but instead sought to reveal the technology’s interconnected social, political, and economic processes. Building from these findings, we highlight the opportunities to move from treating transparency as an object to treating it as an ongoing activity. We argue that this move opens opportunities for designers and policy-makers to provide meaningful and actionable transparency of smart cities.

  PublisherOA PDFDOI

Frequent coauthors

• Oded Nov

  New York University

  26 shared

• Juan Pablo Bello

  New York University

  16 shared

• Mark Cartwright

  New York University

  14 shared

• Vincent Lostanlen

  Centre National de la Recherche Scientifique

  12 shared

• Ana Elisa Méndez Méndez

  New York University

  12 shared

• Justin Salamon

  11 shared

• Jason Cramer

  New York University

  11 shared

• Ho-Hsiang Wu

  Robert Bosch (United States)

  11 shared

Education

• PhD "CoDesign with Data", Centre for Human-Computer Interaction Design

  City University London

  2015