We use systems thinking and process orientation to holistically examine the social and political determinants of health, disparities, and inequities. Our equitable problem solving approach builds on four primary scientific activities: Research and Evaluation, Data Sciences, Program Administration and Management, and Capacity Building and Development.
We assess, design, and implement innovative solutions (supported by data sciences and geospatial analytics) to achieve program goals in rapidly changing human and environmental health sectors.
We use comprehensive survey services to assess organizational needs and generate actionable insights for effective solutions.
We conduct organizational audits of policies, procedures, and processes based on key themes, including diversity, equity, and inclusion.
Our comprehensive data strategies and processes modernize data using tools such as cloud platforms, data warehousing, and data governance.
We address emergent and longstanding program data needs and questions using a variety of data and analytic strategies, such as modeling and simulation, predictive analytics, monitoring and surveillance, and detection and prevention.
Address problems by generating and providing access to real-world data properties and characteristics. Develop mathematical or computational models.
Nyaa employs a program management approach that defines different stages necessary to bring a project from its initial conception to delivery, while also establishing infrastructure for efficient and effective maintenance. The stages can include requirement analysis, design, development and testing, implementation, documentation, and evaluation.
We create and revise course content based on pedagogical best practices and program needs through an iterative process of literature review, design, implementation, and evaluation.
We deliver ad hoc, ecologically valid, evidence-based course content to enhance staff capability, capacity, performance, and productivity through lectures, dialogues, and tutorials.