Grants

The AHA Institute for Precision Cardiovascular Medicine and Verily are accepting applications for the
Research Goes Red RFA.

Applications are due January 15, 2020.

Grants@Heart is now open for applications.

The goal is to recruit and engage millennial women in Research Goes Red and utilize the platform and tools of Verily and the AHA to increase awareness and inspire action in these women to prevent cardiovascular disease and stroke.

Who should apply:

Researchers with expertise in the area of education, outreach, recruitment and/or engagement of millennial women, especially within underrepresented racial and ethnic groups.

Population cohort:

Millennial women, especially within underrepresented racial and ethnic groups, will be recruited into Research Goes Red. The cohort may also include women who are already participating in Research Goes Red who identify as being from a racial and/or ethnic group.

Goals of study:

Successful grantees will design and execute the study, which will include recruiting millennial women (women born between 1981 and 1996, ages 23 to 38 in 2019) within underrepresented racial and ethnic groups in Research Goes Red and may include asking women to answer surveys, join focus groups, and participate in additional activities to better understand how to raise awareness and inspire action about preventing heart disease and cerebrovascular disease.

  • Investigators will utilize the e-consent tools built by Verily for the study and, without costs to the investigators, may use additional tools, including surveys, engagement tools, and the community dashboard in the Baseline and/or Research Goes Red platform.
  • Investigators may utilize AHA educational materials to increase awareness and inspire action in millennial women, especially within underrepresented racial and ethnic groups.
  • The awardees will be required to collaborate with each other, Verily, and the AHA via face-to-face meetings, conference calls, and teleconferences.

The awardees will be required to collaborate with each other, Verily and AHA via face to face meetings, conference calls and teleconferences such as webex. Timeline for reports, conference calls and teleconferences TBD.

Maximum Funding Amount: There are three two-year awards for up to $200K per year for a total of up to $400K per award (including direct and indirect costs).

Request For Applications (RFA)


How do we choose which applications to fund?

We’ll fund researchers from anywhere in the world who are working in the field of data science. We have grants that range from early-, mid-, and established career timelines. We also fund training grants for pre-doctoral as well as post-doctoral applicants.

We have funded researchers who have just started out and are working on their first project. And we’ve funded researchers who have had more than 20 projects previously funded.

You must meet the requirements of the individual grant to be considered by the Institute.

Meet our past grantees

Zechen Chong, Ph.D.

"I noticed that because of limitations in technology, many unresolved problems in genomics were actually computational problems. So, I decided to take advantage of my computational skills and apply them to the genomics field to solve these problems in order to improve the overall health of the human being."

Guido Falcone, MD, ScD, MPH

"Once we identify one of these [genetic] mutations, we can look at a combination of these mutations and try to gauge a person's risk even before that person has the disease. That's the world of precision medicine."

Stacey Knight, Ph.D.

“Our project takes those two very large datasets and uses the AHA Precision Medicine Platform to accelerate findings of cardiovascular disease-related genetic causes”

Juan Zhao, Ph.D.

“Looking beyond conventional factors is essential for accurate stroke prevention, especially given that stroke is preventable, and its first sign may be fatal"

Anand Rohatgi, MD

"Using these large cohorts of people with available specimens and the deep phenotyping approach, we’ll better understand HDL’s precise function not just for the population as a whole but for specific individuals."