SOLSTICE project

The SOLution-oriented, STudent-Initiated, Computationally-Enriched (SOLSTICE) NSF Award Details approach is a teaching method for improving graduate student training in data-intensive fields. The approach seeks to enhance students' knowledge, skills, and attitudes in data sciences to solve complex problems, think critically, and effectively communicate across inter-generational, trans-disciplinary research teams. Using a data-intensive, project-based learning approach, graduate students work collaboratively to design, evaluate, and disseminate research in team environments. As data scientists, these students will learn how to pose research questions, translate information into potential actions, develop data collection, analysis, and visualization schemes and protocols, and exchange information, data methods, and results tailored to various audiences. Educational resources developed during this study will then be available to guide future faculty development and training processes. Read more here: Visit Naumova Labs' SOLSTICE Information Page