This 2-week intensive program is designed to equip participants with essential data science skills for analyzing, interpreting, and visualizing epidemiological and public health data. Through a combination of expert lectures, hands-on laboratory sessions, and project-based learning, participants will gain practical experience in applying modern data analytics techniques to address real-world public health challenges, with a focus on evidence-based decision-making, data-driven insights, and the effective use of contemporary analytical tools in epidemiological and public health research.
This School and Workshop explores exotic quantum phases in equilibrium and driven matter, focusing on quantum spin liquids, spin–orbit–coupled materials, experimental probes, and nonequilibrium control via Floquet engineering and ultrafast dynamics.
