Arts and Humanities Initiative (AHI) Unveiled: Insights and Opportunities promotional image

Arts and Humanities Initiative (AHI) Unveiled: Insights and Opportunities

Wednesday, September 16, 2026 11:00am to 12:00pm
Virtual

Event Information

The Research Development Office is hosting a virtual information session on Wednesday, Sep. 16, from 11 a.m. to noon. Join us virtually to learn about the Arts and Humanities Initiative (AHI) program, hear from past reviewers, and have your questions answered. 

This event is an introduction to this cycle's AHI program. Click here to learn more about this information session, and click here to learn more about AHI. Please note: attendance is encouraged but not required to apply to...

Introduction to Implementation Science with Dr. Heather Reisinger promotional image

Introduction to Implementation Science with Dr. Heather Reisinger

Thursday, September 17, 2026 3:30pm to 5:00pm
Social Sciences Research Building
Research discoveries often take years to reach routine practice. Implementation science seeks to understand and address this gap by studying how evidence-based interventions can be adopted, implemented, and sustained in real-world settings. In this introductory workshop, Dr. Reisinger will provide an overview of the core concepts, questions, and methods of implementation science, including implementation frameworks, strategies, and outcomes. Participants will also learn about resources available through the University of Iowa Implementation Science Center to support implementation science research, training, and collaboration.
Intro to Networks in R with Dr. Elizabeth Menninga promotional image

Intro to Networks in R with Dr. Elizabeth Menninga

Wednesday, September 23, 2026 9:30am to 11:30am
Social Sciences Research Building
This workshop is an introduction to social network analysis. Participants will discuss core concepts (e.g., density and transitivity) as well as descriptive and inferential techniques, such as community detection, that can be used to understand and analyze networks. All coding will be done in R. Familiarity with R is encouraged but not required to participate in the workshop.
Application Deadline: Book Ends, Obermann Book Completion Workshop promotional image

Application Deadline: Book Ends, Obermann Book Completion Workshop

Wednesday, September 23, 2026 5:00pm
Virtual

Books Ends supports University of Iowa faculty from disciplines in which publishing a monograph is required for tenure and promotion. The award is designed to assist UI faculty members of all ranks and with significant research responsibilities to turn promising manuscripts into important, field-changing, published books.

Book Ends brings together a panel of senior scholars for a candid, constructive three-hour virtual workshop on a faculty member’s book manuscript. The award provides a $500...

Intro to Programming Using Python with Stella Yang promotional image

Intro to Programming Using Python with Stella Yang

Thursday, September 24, 2026 3:00pm to 5:00pm
Virtual
This workshop will cover the fundamental concepts of programming using Python. Using demonstrations and hands-on exercises, participants will learn how to write simple scripts, understand basic syntax, and work with core concepts like variables, loops, and data types. By the end of the session, they will have the foundation and be able to continue exploring Python on their own. The workshop is designed for undergraduate students, graduate students, and staff from non-computer science backgrounds, but anyone with no or limited experience with Python is encouraged to attend. The workshop will use Google Colab, so no software installation is required.
Introduction to Spatial Data Science with Jinyi Cai promotional image

Introduction to Spatial Data Science with Jinyi Cai

Tuesday, September 29, 2026 1:00pm to 3:00pm
Virtual
Many social science questions have a spatial dimension. Exploring spatial patterns can help researchers generate hypotheses about how geography shapes social and environmental processes in their studies. This workshop is for beginners to learn a practical workflow for exploring spatial patterns of socio-demographic and environmental data. Through a hands-on case study, participants will retrieve socio-demographic data through the U.S. Census API and integrate it with spatial datasets. They will then use interactive visualization to explore geographic patterns and apply spatial statistical methods to identify spatial clusters, where nearby areas have similar values, and spatial outliers, where locations differ from their neighbors. Participants will learn to conduct these analyses in Google Colab using Jupyter notebooks based on Python. The cloud-based environment allows them to run analyses and scale computation on large datasets without local software installation. Basic familiarity with Python is helpful but not required.
Registration Deadline: Junior Faculty and Graduate Student Session with Walter Biggins, Obermann Editor-in-Residence promotional image

Registration Deadline: Junior Faculty and Graduate Student Session with Walter Biggins, Obermann Editor-in-Residence

Wednesday, September 30, 2026 (all day)
111 Church Street

University of Iowa junior faculty and graduate students at all stages are invited to join Walter Biggins—editor-in-chief at the University of Pennsylvania Press—for a light breakfast and a conversation about turning an article, thesis, or dissertation into a book on Tuesday, Oct. 6, from 9–10:30 a.m. at the Obermann Center for Advanced Studies library. Please bring any questions you have about that process or about scholarly publishing in general.

Register by Wednesday, September 30.

Biggins is...

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.
UI Research Services Fair promotional image

UI Research Services Fair

Thursday, October 8, 2026 12:00pm to 4:00pm
Kinnick Stadium

About the Research Services Fair

The Research Services Fair connects faculty, postdocs, staff, and trainees with the many resources available to support research and scholarship at the University of Iowa. This year's event will be hosted at Kinnick Stadium.

Fair Attendees Will:

Learn about campus’ cutting-edge instruments and technology as well as many other services available in support of funding applications and research programs

Interact with centers, institutes, core facilities, and other...

Maximizing Pivot to Find Funding and Collaborators (October 2026) promotional image

Maximizing Pivot to Find Funding and Collaborators (October 2026)

Wednesday, October 14, 2026 1:00pm to 2:00pm
Virtual

Do you want to maximize your time spent searching for funding opportunities or potential project collaborators? Join us to learn how Pivot can save you time and effort in identifying the right funding opportunities for your research lines as well as identifying collaborators with the relevant expertise.

Register here. The RDO will send a calendar invitation and Zoom link upon registration.