Risks overlap.
Flood exposure, extreme heat, energy demand, and social vulnerability become harder to understand when they are reviewed in separate systems.
I turn complex public data into investigations, evidence, and interactive tools that help people understand risk and make better decisions.
Climate risks overlap, but the evidence used to understand them often lives in separate datasets, tools, and institutional contexts.
Our team created Resilience Atlas to explore how public climate and infrastructure data could be connected and made easier to investigate across New York City.
The project demonstrates why decision-support work requires more than collecting data. Teams also need a shared way to interpret relationships, communicate uncertainty, and move from evidence toward action.
Climate resilience decisions rarely involve one isolated hazard.
Flood exposure, extreme heat, infrastructure, neighborhood vulnerability, and service demand interact—but the data describing them is often reviewed separately.
When those relationships remain fragmented, teams spend more time reconciling information and less time understanding what deserves attention. Resilience Atlas explores how a shared analytical environment can make those connections easier to see, discuss, and investigate.
The Progressive Web Application gives our team and its audience a shared visual environment for exploring locations, comparing risks, and asking more specific questions across all five boroughs.
The notebook preserves the analytical reasoning behind the interface so teammates can review assumptions, understand transformations, and trace findings back to their sources.
The dashboard translates the analytical record into a faster stakeholder view, helping the team communicate what matters without separating conclusions from their evidence.
This artifact is intentionally marked as pending until Hex credits become available on July 15.
The dashboard will not duplicate the notebook. It will emphasize the conclusions and relationships a stakeholder needs to understand quickly.
Three patterns are shaping our investigation—and clarifying where public data is useful, where it is limited, and what needs closer review.
Flood exposure, extreme heat, energy demand, and social vulnerability become harder to understand when they are reviewed in separate systems.
Public datasets can reveal neighborhoods and conditions that warrant deeper investigation, even when they cannot support a final operational decision alone.
The difficult work is not finding one more dataset. It is connecting evidence across silos so people can see relationships and ask better questions.
Resilience Atlas was a team effort. I led the integration of the project’s problem framing, analytical structure, product experience, and public presentation.
I translated our team’s research into a map-first Progressive Web Application, developed the evidence notebook, shaped the Hex dashboard strategy, and established the project’s public-data boundaries.
Within the team, I helped connect research, analysis, interface decisions, and presentation so the work could operate as one coherent investigation.
This project reinforced something central to how I work: complex systems do not become understandable simply because more data is available.
Teams need shared structure—clear questions, traceable evidence, usable interfaces, and a way to connect different forms of expertise.
I contribute by helping create that structure and keeping the relationship between analysis and decisions visible.
I bring data analysis, dashboard development, requirements thinking, product judgment, and a systems lens to teams working through complex public problems.
Especially when the challenge is not only finding information, but creating shared understanding around it.