Last day to withdraw with W from Fall 2026 classes (undergraduates only)
Last day to withdraw with W from Fall 2026 classes (undergraduates only)
Last day to withdraw with W from Fall 2026 classes (undergraduates only)
Drop/Add begins for Spring 2027
Registration ends for Spring 2027
This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]
This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]
Learning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […]
This short course will emphasize coding and developing AI skills. We ask participants to attend both sessions, since each one builds on the previous session. Given the hands-on nature, there will not be any Zoom options or recordings. Space is limited so register early if you plan to attend. If there is over subscription, we […]
Workshop II: November 13 Research talks on causal inference, learning dynamics, and network-based market design. Held in conjunction with the WORDS Conference on November 14. Location: Fuqua School - Geneen Auditorium For more information please visit: https://sites.duke.edu/learninginnetworks/ Sign up for updates here: https://lists.duke.edu/sympa/subscribe/popup-learninginnetworks?previous_action=info
Learning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […]
Abstract: Progress in condensed-matter physics ultimately depends on materials reality. Many long-standing questions arise not from a lack of theoretical ideas, but from the challenge of controlling defects, disorder, stoichiometry, and strain in real materials. In this talk, I will discuss altermagnetism in RuO2 - a rutile 4d transition-metal oxide - from the perspective of […]
Organized by the SWS in STEM and Staff of the Rhodes Information Initiative. With support from the Office of Faculty Advancement, we continue our mission of promoting fellowship and scientific connection among women scientists at Duke at ALL career stagesand across scientific disciplines. Half-hour, broad-audience lectures are paired with a delicious catered lunch and time […]
Learning in Networks Reading Group and Seminar Series: Tuesdays, 12pm in 330 Gross Hall; lunch included The institute focuses on fundamental questions in statistical inference, machine learning, causal inference, and optimization on networks, with particular emphasis on statistical-computational tradeoffs, message-passing algorithms, learning dynamics, and network-based market design. By fostering collaboration across disciplines, the institute aims […]