Projects

Current research programs, partnerships, and decision-support platforms.
Our projects connect geospatial analysis with place-based environmental questions. Most combine computational methods, field or community knowledge, and tools designed to make research useful in real planning and policy contexts.
Great Lakes climate adaptation illustration
Climate adaptation · Great Lakes

GLISA

Research and engagement connecting climate science with communities and decision-makers across the Great Lakes, with emphasis on actionable climate knowledge, flood resilience, and climate migration.

Milwaukee and Lake Michigan
Flood resilience · Participatory planning

CHIRRP / PUMP-COR

Community-centered flood planning integrating climate and hydrologic modeling with participatory GIS and scenario-planning approaches in Great Lakes communities.

Participatory mapping and scenario planning illustration
PPGIS · Decision support

PIVOT

A modular web-based platform for mapping local knowledge, comparing priorities, exploring scenarios, and linking community input to environmental and urban models.

Detroit street imagery and computer vision illustration
GeoAI · Urban analytics · Detroit

V2V-AI

Research with City of Detroit partners on scalable assessment of residential conditions using street-level imagery, UrbanWORM, computer vision, and vision-language models, with attention to governance and responsible use.

Landscape and conservation research illustration
Conservation · Perception · Human–environment relationships

Landscape perception & conservation

Research on human–nature relationships using social media, ecological information, visual perception, and spatial data — including wildlife communication, cultural ecosystem services, recreation, and urban forests.

How we work

Across projects, we emphasize open and reproducible methods, co-production with end users, and visual tools that make uncertainty and tradeoffs legible. Many projects combine large-scale computational analysis with place-based engagement rather than treating them as separate research activities.

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