Effective measurement of cognitive abilities is fundamental to effective diagnostics, risk assessment and
evaluation of interventions targeted towards older adults (OA) and in particular those with Alzheimer's Disease
and related dementias (ADRD). With the ubiquitous availability of smartphone/tablet technology in modern
society a proliferation of mobile cognitive assessments from companies, healthcare providers, and researchers
are being developed. However, a difficulty in evaluating such interventions, and in particular making comparison
between them is the lack of standardization/interoperability of assessment tools. This is especially the case for
early stage/mechanistic studies where it is common for investigators to each use their own labs' toolset to
evaluate intervention outcomes. Here we address particular needs in the field of cognitive training, as well as for
other longitudinal assessments focused on OA, where the limited standardization and accessibility of cognitive
outcome measures makes it difficult to evaluate effectiveness of interventions. This R21/R33 infrastructure
proposal seeks to develop shared tools to facilitate effective translation and sharing of cognitive assessment and
training procedures. We accomplish this by leveraging technologies, existing assessment batteries, and know-
how from 3 groups that have each independently developed robust systems for cognitive assessment and
training that can run on mobile devices (UCR Brain Game Center, UCSF Neuroscape Center, and UCI Working
Memory and Plasticity Lab). We target development of systems that allow for interoperability of assessments,
enrollment/participant tracking systems, data visualization, and participant compliance systems. In the R21
phase, we aim to develop such systems and demonstrate that they can be effectively shared across labs, and
in the R33 phase, these systems will be both tested for robustness in large scale-research projects that will now
be able to share outcome measures, and for developing personalized, precision training approaches for
participants based upon these assessments. Further, these systems will be documented and will be shared with
other scientists groups to reduce the barrier of entry for other groups. The long-term impact of this work will be
an infrastructure that will support better comparison across studies of cognitive training, as well as other
interventions that are increasingly being used to ameliorate cognitive declines in older adults such as those
related to ADRD. The key value of this system compared to others is that it will simultaneously support the
flexibility required for basic research, by facilitating groups to continue to use their own lab's software systems,
while at the same time providing them with a powerful infrastructure for sharing that allows them to incorporate
assessments, server infrastructure and compliance tools into their own studies. This will facilitate comparisons
across studies using common outcome measures as well as the ability to use the same assessments in
numerous other domains including risk-assessment and longitudinal testing in older adults at risk for ADRD.