Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

We believe the data in Medicare are clear: The success of total cost of care, population-health models such as Medicare accountable care organizations far outpaces the performance of narrowly focused ...

Focus groups are a fast and effective way to elicit information and perspectives from a variety of key informants simultaneously. In public health, it is often a standard research methodology that is ...

The evaluation science graduate certificates, offered 100% virtually, are intended to prepare students in program evaluation across the fields of human services, education, public policy, health and ...

Distinguishing between simple program evaluation and human subjects research can sometimes be difficult. While the federal regulations use the term "evaluation" in their definition of research, most ...

The Northwestern University Program Evaluation Core provides a range of pre and post-award service including designing evaluation plans, timelines and budgets for grant proposals, implementing the ...

As enterprises increasingly integrate AI across their operations, the stakes for selecting the right model have never been higher and many technology leaders lean heavily on standard industry ...

Executives at artificial intelligence companies may like to tell us that AGI is almost here, but the latest models still need some additional tutoring to help them be as clever as they can. Scale AI, ...

In order to maintain a strong, diverse and substantial pool of applicants, our tuition rate is designed to make us competitive, especially with our peer institutions. Less than a year after ...