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Biology Seminar: "Influenza: A virus at the human-animal interface and zoonoses"
Study Hall
Art & Write Night
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...
Study Hall
Peer Review Process and Journal Expectations
Graduate & Professional Students: Let's Do Lunch!
Field Trip to the Rodale Institute Midwest Organic Center
Study Hall
Study Hall
Maker Break: Fold Into Fall – An Origami Leaf Craft
All Majors Career Fair
This job and internship fair will focus on recruiting students in ALL MAJORS! Typically about 100+ employers attend and 1,000+ students attend!
Visit careers.uiowa.edu/all-majors-career-fair for more details.
Creating Citations with EndNote
Introduction to Spatial Data Science with Jinyi Cai
Study Hall
Art & Write Night
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...
Intermediate Spatial Data Science and GeoAI with Dr. Caglar Koylu
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.
Science & Health Connections Fair: Employers, Graduate Programs, Medical Schools
Students will explore and connect with:
Life science, health science & sustainability companies
Internship/full-time positions
Graduate and service programs and medical schools
Research and volunteer opportunities
Check-in at International Ballroom Lobby in Iowa Memorial Union.
Bring your Student ID, copies of your resume and dress for success!
Study Hall