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 work closely with PIs on grant proposals to design evaluation plans, write the evaluation section and develop the evaluation budget. We implement evaluation plans, review evaluation data with PI’s ...

Large Language Models (LLMs) have demonstrated remarkable potential in solving complex tasks across diverse domains 1,2. The proliferation of LLMs, coupled with the interest in applying them in ...

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 ...

Program evaluation and trainee assessment are crucial to support successful training programs in the biomedical sciences. The updated NIGMS T32 funding mechanism identifies the critical role of ...

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 ...

We assessed the performance of large language models’ summarizing clinical dialogues using computational metrics and human evaluations. The comparison was done between automatically generated 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 master of science in evaluation science is a program intended to prepare students to contribute to human service, education, public policy, health, and other program and policy areas through ...