CONTEXT LAB
Our
Research
The Context Lab focuses on the influence of the environment and other broad contextual factors on the development of achievement, mental health, and physical health. We are interested in exploring how the environment moderates the etiology of these outcomes, as well as how context directly impacts overall development. We believe there is a strong link between academic achievement and public health, if we improve overall achievement, we can likely improve overall health. The answers to many of our problems within the realms of achievement and public health exist within our environments, better understanding context unlocks them.
Enviroment and Genetics
We are interested in exploring the intersection of the environment, genetics, and overall context as they relate to our developmental outcomes. Through our research, we seek to understand the influence of environmental factors, such as poverty and culture, on child development.
Novel Statistical Modeling for Population- 📈
We are exploring novel statistical techniques to measure growth, change, and development in academic achievement and public health outcomes. By emphasizing historically understudied populations, we hope to find new ways to improve overall growth and development.
Translative Research
Our goal is to produce research that can be applied to real-world contexts and improve public health outcomes. By understanding the complex relationship between education and health, we believe we can help edge closer to better public health outcomes for all.
Our Approach
1
Lab Based Research
We conduct lab-based research to understand how contextual factors influence developmental outcomes. By creating controlled experiments, we can better understand the complexity of these relationships.
2
Field Studies
We also conduct field studies to gather data on the complexities of context and its impact on developmental outcomes. These studies allow us to observe the behavior of our research subjects in real-world settings.
3
Data Analyses
We love secondary data analyses! By working with existing datasets, we can use statistical methods to identify patterns and relationships in the data.