We have identified a handful of initial areas of innovation that the Collaborative will investigate in our first few months.
- Statistical Interactions between Biological and Social Science Processes. Existing regression approaches to modeling interactions (such as gene by environment interactions) are limited. We are developing new tools that permit testing and identification of more complex interaction patterns between processes. These tools will have many biosocial applications.
- Visualization Tools. Complex data that arises in biosocial research requires new ways of visualizing data. We are developing new software tools to aid in this effort. We are also developing tools to visualize models and data simultaneously so that models can be compared to each other and to data.
- Developing Decision Aids. The combination of biological and behavioral data provides new opportunities to develop tools that aid medical decision making and promote shared decision making among patient, caregivers, and health care providers.
- Improving Clinical Trials. We are developing new tools, measures and metrics that add psychosocial outcomes to traditional clinical trials.
We are looking for more research problems where development of tools that integrate biological and behavioral information will help advance the current knowledge base. Please contact us if you would like to discuss potential new research directions.