Overview

MassAITC is a member of the National Institute on Aging’s (NIA) Artificial Intelligence and Technology Collaboratories for Aging Research program. The group of centers affiliated with this program are referred to as the a2 Collective. One of the core functions of MassAITC is to select pilot research projects for funding through this program. Prospective pilot investigators will submit proposals to the a2 Collective for evaluation by MassAITC. Private companies, research organizations, tech startups, and traditional NIH/NIA investigators are encouraged to apply for pilot funding for project’s related to MassAITC’s focus areas. Anticipated results for the first pilot funding competition are listed below. The Fall 2022 MassAITC call for pilots proposals is now available.

Pilot Project Focus AreasFall 2022 Application Cycle

Topics of interest include but are not limited to: 

  • Development and validation of AI-enhanced data analytic solutions to distill multi-modal sensor and cognitive performance data into interpretable and actionable information to enhance self-care, support caregivers, and/or improve clinical and caregiving decision making. To enable effective and timely decision making about care, we need to develop data analytics tools that distill actionable knowledge from highly longitudinal and multi-modal data. Critically, these tools will need to provide explanations and visualizations that can be understood by all stakeholders.
  • Develop AI-enhanced devices with lower burden, less algorithmic bias, improved accuracy and enhanced usability for both patients and caregivers. AI and machine learning models may be trained on data that do not adequately represent older adults leading to poor predictive performance and adverse consequences for that affects older adults, caregivers and clinicians who base decisions on the resulting inferences.
  • Development and validation of data-driven visualization technologies and systems that distill large volumes of data for patients, caregivers and/or clinicians. There are significant opportunities to develop new clinician-driven, AI-enhanced interventions that leverage health monitoring data to optimize various facets of current treatments such as improving efficacy, reducing the occurrence of side effects, and assessing outcomes. 
  • Development and validation of AI-enhanced technologies that account for social determinants of health relevant to older adults and caregivers. Loneliness, anxiety and depression are common debilitating conditions associated with aging and caregiving.  Technology solutions for interventions in the home could provide continuity of care and address issues not routinely covered in traditional clinic visits.

Dates – Fall 2022 Application Cycle

Preliminary (Round 1) Applications OpenFriday, July 1, 2022
Informational Webinar With AITC Leadership3:00pm EST, Thursday, July 14, 2022
Preliminary (Round 1) Applications Deadline5:00pm EST, Monday, August 15 2022
Preliminary (Round 1) Applications DecisionsFriday, September 16th, 2022

Webinar for Invited Full (Round 2) Applicants Friday, September 30, 2022 (Time TBD)
Invited Full (Round 2) Applications Deadline 5:00pm EST Monday, October 31, 2022
Invited Full (Round 2) Applications DecisionsThursday, December 1, 2022
Anticipated AwardsSpring 2023