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G. Mauricio Mejia

dblp:131/9164 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-8867-6106ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Design research and methods · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Design research and methods
participatory design
1.012026
Designing for Upstream Work: Learnings from Co-Design for Preventative Solutions with Urban Fire Departments · CHI 2026
Smart cities and intelligent transportation › disaster management
disaster response
0.312026
Designing for Upstream Work: Learnings from Co-Design for Preventative Solutions with Urban Fire Departments · CHI 2026
Visualization and visual analytics › interactive visualization
dashboard
0.312026
Designing for Upstream Work: Learnings from Co-Design for Preventative Solutions with Urban Fire Departments · CHI 2026

Methods — techniques the papers use, named apart from their topics

prototype · 3.0co-design · 3.0
YearPublicationVenuePosition
2026 Designing for Upstream Work: Learnings from Co-Design for Preventative Solutions with Urban Fire Departments
abstract
Scholars and practitioners in public health and social welfare increasingly recognize the need for preventative interventions that address root causes rather than respond to emergent crisis. However, they face significant challenges in designing tools and demonstrating success for these initiatives. We characterize these crucial, but difficult to develop and scale solutions, using Dan Heath’s term “upstream work”. We then explore design solutions to support upstream work through a multi-phase co-design process to assist fire departments developing alternate EMS response programs to reduce 911 call volume. We contribute to literature on designing to support data practices in community organizations and further delineate the key challenge of these programs as upstream initiatives: demonstrating success to stakeholders. We then present our co-designed prototype, a data dashboard to make the promising work of preventative programs visible for different stakeholder audiences. Finally we reflect on good practices for designing to support community based upstream initiatives.
Rachel B. Warren, Ruchita A. Mandhre, Hiba Siraj, G. Mauricio Mejia, Myeong Lee, Yunan Chen 0001, Kathleen H. Pine
CHI4