WELCOME TO OUR WEBSITE!
The Digital Landscapes Lab (DLL) conducts interdisciplinary research that studies the effective uses of data, information, and knowledge for research, design, problem solving and decision making, motivated by efforts to improve environmental and sociocultural performance of designed landscapes to positively impact human health and well being.
BRINGING DESIGN TO COMMUNITIES
Climate change is disproportionately impacting cities, making adaptation and mitigation efforts critical for urban areas globally. Urban residents are facing increased extreme weather events (e.g. heat or flooding) that affect their health and well-being. Nature-based solutions present possible remedies to these emerging challenges and contribute to biodiversity conservation and ecosystem resilience.
Successful nature-based solutions will not only require ecological transformation, but also radical interventions, social change, and adaptation. Social tipping points that reorient thinking away from cities as disconnected and distinct from ‘natural’ ecosystems will usher in new urban ecologies that reorganize the relationship between citizens, greenspaces, cities, and the surrounding landscape matrix.
OUR GOAL
We have the vision of developing a transformative approach to community-engaged landscape design for climate resilience in large urban settings. Our emphasis will be on community-engaged design and education, resulting in novel urban landscape designs to ensure resilience, ecosystem function, and human well-being..
digital landscape SOLUTIONS
XR SOLUTIONS
We develop tools and techniques that can rapidly visualize diverse collections of data, including mapped landscapes, environmental change, and social networks. Immersive visualization technologies can deploy decision-making resources into communities.
GAMIFICATION
We aim to use gamification to broaden interest and engagement in decision making, the incorporation of video game elements or play into non-game contexts can provide an important social learning role to public participation for improved representativeness.
GEO DATA ANALYSIS
We explore the feasibility of field-based data collection techniques and novel spatial analysis methods. Using crowdsourcing approaches for data collection to deepen and broaden the crowd of participants that allows us to analyze the environmental quality from a community perspective.