Scott's Frost - Elizabeth Jordan BFA Exhibition - School of Art, Art History, and Design promotional image

Scott's Frost - Elizabeth Jordan BFA Exhibition - School of Art, Art History, and Design

Thursday, October 1, 2026 8:00am to 8:00pm
Visual Arts Building

SEES:7000 Colloquium - Michael Sori (Purdue) - "Igneous crusts on the Moon and Mars from gravity and topography"

Thursday, October 1, 2026 3:30pm
Macbride Hall

SEES:7000 Colloquium - Thursday, 10/1/26, 3:30pm, 255 MacBride Hall

SEES:7000 Colloquium - Michael Sori, Purdue

Talk: "Igneous crusts on the Moon and Mars from gravity and topography"

Volcanic and other igneous rocks provide a window into a planet’s thermal history. Here, I will discuss how orbital geophysical measurements taken from NASA spacecraft give us insight into igneous crusts and the early geophysical history of the Moon and Mars. At the Moon, the extreme precision of gravity and...

Chinese Corner Fall '26 promotional image

Chinese Corner Fall '26

Thursday, October 1, 2026 5:00pm to 6:00pm
Phillips Hall
Practice your Chinese through relaxed conversations, games, and cultural activities. Meet other Chinese speakers and learners from across campus! Open to everyone. All Chinese proficiency levels are welcome. Free snacks provided!
Scott's Frost - Elizabeth Jordan BFA Exhibition - School of Art, Art History, and Design promotional image

Scott's Frost - Elizabeth Jordan BFA Exhibition - School of Art, Art History, and Design

Friday, October 2, 2026 8:00am to 8:00pm
Visual Arts Building
Andrew Goldman: "'Hearing As': Neural Correlates of Interpretation in Studies of Harmonic Prediction" promotional image

Andrew Goldman: "'Hearing As': Neural Correlates of Interpretation in Studies of Harmonic Prediction"

Friday, October 2, 2026 1:30pm to 2:30pm
Voxman Music Building
Andrew Goldman presents two neuroscientific experiments that investigate how listeners intentionally modulate their expectations based on how they are prompted to interpret musical stimuli
Art & Write Night promotional image

Art & Write Night

Friday, October 2, 2026 6:00pm to 8:00pm
University of Iowa Museum of Natural History

Join the long, rich, historical tradition of artists creating in our spaces.

Professional, aspiring, and amateur artists alike, make our museum your muse. The return of this popular program series welcomes guests into the Museum of Natural History's magical gallery spaces after-hours to work on sketching or writing projects with other campus and community artists.

Tell a friend, grab a notebook, and join us on the first Friday of each month. We'll provide a new inspo prompt for each session and...

BMB Research Workshop

Tuesday, October 6, 2026 12:30pm to 1:20pm
Medical Education Research Facility

The Department of Biochemistry and Molecular Biology holds research workshops featuring internal speakers on Tuesdays, 12:30-1:20pm. For Fall 2026, these will occur in 1117 MERF. Presentation titles are not publicly available due to the use of unpublished research. Individuals interested in attending workshops or being added to the email list should contact the office at biochem@uiowa.edu.

Aug. 25: CANCELED

Sept. 1: CANCELED

Sept. 8: RESERVED

Sept. 15: Steve Guzman, PhD, Postdoc Fellow, Biomedical...

Intermediate Spatial Data Science and GeoAI with Dr. Caglar Koylu promotional image

Intermediate Spatial Data Science and GeoAI with Dr. Caglar Koylu

Tuesday, October 6, 2026 1:00pm to 3:00pm
Social Sciences Research Building
Many social, environmental, and health processes exhibit spatial patterns. Nearby places may be related, and relationships between variables may vary across locations. When these spatial patterns are ignored, key assumptions of traditional statistical methods can be violated, leading to biased or misleading results.

This workshop introduces concepts and methods in spatial statistics and GeoAI for analyzing such patterns and relationships. Participants will learn about spatial dependence, where nearby observations tend to be related, and spatial heterogeneity and non-stationarity, where relationships between variables vary across space. Through a hands-on case study, participants will use mapping and spatial statistical methods to identify these patterns.

The workshop will also introduce XGBoost as a machine-learning approach for modeling complex and nonlinear relationships and use SHAP (Shapley Additive Explanations) to interpret how different variables contribute to model predictions in the social, environmental, and health sciences.

Analyses will be conducted in Python using Google Colab. Some familiarity with quantitative data analysis and spatial data science is encouraged. Prior experience with machine learning or programming is not required.