Building Capacity in Data Science and Computational Science Cluster
Five new cluster hires will build capacity in students’ ability to use data-driven methods to address complex problems in the sciences, building upon and supporting the exponential growth of the SASN minor in Data Science. The initiative aims to attract scientists from diverse backgrounds who address complex problems using advanced statistical techniques (e.g., clustering techniques, network analysis), machine learning, predictive analytics, and causal modeling. The cluster intends both to strengthen and diversify the advanced curriculum in data sciences available to students and to serve as a crucible for engaging students in mentored research with faculty. Priority will be given to scholars who have demonstrated that they can effectively teach courses in their discipline as well as courses that fit broadly under the rubrics of applied data science, applied statistics, and or applied computational science; and scholars who have demonstrated a commitment to mentoring undergraduate students. All STEM departments will be eligible to participate in this cluster hire initiative.
Chancellor-Led Unit Support
- Rutgers–Newark
Strategic Cluster Champion
Kristina Keating
Associate Professor, Earth and Environmental Sciences, Rutgers–Newark
Dr. Keating is an Associate Professor of near-surface geophysics in the Department of Earth and Environmental Sciences at Rutgers University-Newark. Her research focuses on laboratory and field-based geophysical measurements to understand processes occurring in the top 100 m of Earth’s surface. Her research spans critical zone science, hydrogeophysics, cryosphere geophysics, biogeophysics, and soil science. She is also actively involved in science education research to engage students from groups historically underrepresented in the geosciences.
