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Grantmaking
We fund organizations and projects which disrupt our current behavioral health space and create impact at the individual, organizational, and societal levels.
Participatory Funds
Our participatory funds alter traditional grantmaking by shifting power
to impacted communities to direct resources and make funding decisions.
Special Grant Programs
We build public and private partnerships to administer grant dollars toward targeted programs.
Program Related Investments
We provide funds at below-market interest rates that can be particularly useful to start, grow, or sustain a program, or when results cannot be achieved with grant dollars alone.
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Tia Burroughs Clayton, MSS
Learning and Community Impact Consultant
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Alyson Ferguson, MPH
Chief Operating Officer
Contact Alyson about grantmaking, program related investments, and the paper series.
Samantha Matlin, PhD
Senior Learning & Community Impact Consultant
Contact Samantha about program planning and evaluation consulting services.
Caitlin O'Brien, MPH
Director of Learning & Community Impact
Contact Caitlin about the Community Fund for Immigrant Wellness, the Annual Innovation Award, and trauma-informed programming.
Joe Pyle, MA
President
Contact Joe about partnership opportunities, thought leadership, and the Foundation’s property.
Bridget Talone, MFA
Grants Manager for Learning and Community Impact
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Precision Care for Better Outcomes in Psychiatric Residential Treatment for Children
Grantee
Gemma Services launched a predictive and prescriptive modeling project with the goal of being able to predict with precision the best pathway to success for children served by in their Residential Treatment program.
About
Through the development and eventual utilization of an algorithm, this precision care project will enable Gemma Services to use data to predict and prescribe the treatment interventions that will be most effective for each child we serve in this program. The project includes three phases which Gemma Services, in collaboration with a data scientist with expertise in machine learning, to achieve the following objectives: 1) developing an algorithm specific to Silver Springs data; 2) testing and eventually embedding the algorithm into Silver Springs’ treatment process; 3) developing a learning community so together providers can each develop the best algorithm that improves clinical decision making and embedding it into their treatment process and, concurrently, facilitate systemic change so together the provider network can improve the delivery of psychiatric residential treatment for children.