SBIR-STTR Award

Ecosystem Design Tool
Award last edited on: 9/2/2023

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$1,224,443
Award Phase
2
Solicitation Topic Code
ET
Principal Investigator
Daniel Fleischer

Company Information

Hyphae Design Lab (AKA: Hyphae Design Laboratory LLC)

942 Clay Street
Oakland, CA 94607
   (510) 922-9355
   info@hyphae.net
   www.hyphae.net
Location: Single
Congr. District: 13
County: Alameda

Phase I

Contract Number: 1938665
Start Date: 2/1/2020    Completed: 1/31/2021
Phase I year
2020
Phase I Amount
$224,851
The broader impact of this SBIR Phase I project is to enable tools to inform methods to reduce air pollution. Air pollution increases the risk of cancer, stroke, heart disease, respiratory infections; further, it may play a role in Alzheimer's disease and diabetes, resulting in trillions of dollars of health care costs globally each year. Half of these costs may be attributed to roadway traffic sourced pollution. Traffic sourced pollution is possibly intercepted by trees, although improperly configured roadside trees do not produce these benefits and creating the opportunity for improved health via targeted engineering of roadside tree placements. This project will develop analysis and design tools to make sure that such tree plantings optimize benefits for ecosystem designers, health insurance companies, governments, and local businesses.This SBIR project will develop a system to optimize high-resolution site-specific tree placement for pollution reduction. Trees are known to reduce air pollution by acting like filters as their high surface area attracts pollutants. Tightly packed trees of a type with high surface area placed on the leeward side of a busy roadway can intercept > 30% of traffic sourced pollutants. This project will perform ground-based, high-resolution vegetation analysis on neighborhoods under study. These data will be used to train an algorithm to infer high-resolution vegetation properties from widely available, low-cost data streams. These inferred vegetation metrics will be integrated with a geospatial ecosystem design automation pipeline to create a software tool. To accurately predict the capture, high-resolution vegetation surface area measurements, tree crown spacing information, wind speed, wind direction and roadway traffic volumes will be aggregated in a comprehensive model.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Phase II

Contract Number: 2218499
Start Date: 2/1/2023    Completed: 1/31/2025
Phase II year
2023
Phase II Amount
$999,592
The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase II project is to enable communities impacted by air pollution and extreme heat to design and implement solutions to these problems in a fast and cost-effective way. Air pollution increases the risk of cancer, stroke, heart-disease, and respiratory infections, and may play a role in Alzheimer?s and diabetes, resulting in human suffering and trillions of dollars of health care costs globally each year. Extreme heat is a growing source of additional health-care concerns and costs. These costs are shouldered by insurance companies, governments, businesses, and citizens. Air pollution can be reduced by carefully placed trees. These trees also reduce extreme heat by shading and evaporation of water. There is potential for improving human health via targeted engineering of tree placements. This project will develop analysis and design tools to help with such tree plantings to generate the maximum possible health and financial benefits, at the lowest cost and with the shortest timelines. Local businesses can use this tool to make sure that they get paid fairly for reducing health care cost burdens of health insurance companies, governments, and pollution producers, while making communities and the environment more resilient.While existing literature indicates that trees may provide an effective air pollution and heat-island mitigation strategy. Stakeholders seeking to implement such strategies need tools to ensure that the plantings are as effective as possible. Existing planning tools are not of sufficient resolution or site specific, and often do not employ evidence-based design strategies. This project will perform high resolution vegetation analysis on a wide variety of neighborhoods. This data will be used to train a set of algorithms to infer high resolution vegetation properties from widely available, low-cost data streams. These inferred vegetation metrics will be integrated with a geospatial ecosystem design automation pipeline to create a software tool. The software tool will provide environmental justice communities, ecosystem designers, health insurance companies, governments, and local businesses with the ability to implement cost-effective ecosystem interventions with quantifiable air quality and heat island benefits. These benefits can be used to calculate financial health benefits. Because the benefits quantification will be based on ongoing validation and monitoring projects, the tool can be used to leverage private financing for improving public health and improving the environment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.