The Fall 2025 meeting will take place at Taylor University on Saturday, October 18, 2025. Check-in begins at 8:30 AM in the Euler Science Complex, and the welcome address will begin at 9:30 AM. The meeting will conclude at 4:00 PM.

The local organizer is Dr. Derek Thompson (drthompson@taylor.edu).

Directions

Enter at the Taylor University main entrance (via Main Street), then turn south (left) onto Vayhinger Loop. The recommended parking lot is directly southeast of the Euler Science Complex; please refer to the Campus Map.

Due to ongoing road work near downtown Upland, please allow extra travel time when approaching Taylor University from Indiana State Road 22. If you encounter detour signs near Main Street, then follow local detours (e.g., via Eighth Street and Indiana Avenue) to reconnect toward campus.

Schedule

Click here for talk / poster abstracts.

	Euler 130	Euler 109	Dining Commons	Euler 100	Euler 118	Euler 119	Euler Atrium
8:30-9:30	Breakfast / Registration
9:30-9:45	Introduction
9:45-10:20		Lew Ludwig: Plenary Talk
10:30-11:00		Lew Ludwig: AI Workshop		Michael Xue	Jonah Richards (U)
11:00-11:30		Lew Ludwig: AI Workshop		Rick Gillman	Sylvia Huang / Kate Poorbaugh (U)
11:35							Group Picture
11:45-12:45			Lunch (Executive Board meets in Braden Room)
12:45-1:25	Poster Session
1:30-2:00				Paul Drube	Melvin Royer	Alexa Renner (U)
2:00-2:30				Ryan Johnson	Jon Beagley	David Housman
2:30-3:00				Joshua Holden		José Contreras
3:00-4:00		Jonathon Peterson: Plenary Talk

(U) indicates that the presenter is an undergraduate student.

Hotel Accommodations

Holiday Inn Express - Gas City
4914 North Beaner Boulevard, Gas City, Indiana, 46933
Date:  October 17-18, 2025 / 1 night
Front desk: 765-674-6664

To reserve a room under the group block, call the reservations line 888-465-4329 by September 26, 2025. Provide the group name “IN-MAA Conference” and group code EG7 (1 King Standard) or EG8 (2 Queens Standard). Or, book using the following links: 1 King Standard, 2 Queens Standard.

Talks / Posters

If you are planning to give a contributed talk or present a poster, please submit the Call for Papers form. The submission deadline is October 4, 2025.

Plenary Speakers

Confronting AI: Now What?

Dr. Lew Ludwig

Professor of Mathematics
Director of the Center for Learning and Teaching
Denison University

This talk will examine recent developments in generative AI and invite us to reflect on what they may (or may not) mean for our teaching, our students, and our research practices. Lew will also lead a hands-on workshop, Improve, Create, and Integrate with AI, where participants will have the opportunity to experiment with AI tools in a supportive, low-stakes setting.

What to Bring for the Workshop

• A Wi-Fi-enabled laptop (essential for participation).

• An electronic copy of an assignment or test you would like to tinker with.

• Access to a generative AI model.

Choosing a Generative AI Account
We will primarily use ChatGPT for examples, as it remains the tool most commonly encountered by students. The current “big three” options are ChatGPT, Claude, and Gemini. Ethan Mollick’s recent blog post post, Using AI Right Now: A Quick Guide, provides a concise comparison and useful tips for getting started. For this workshop, a free model such as ChatGPT 5.0 will suffice.

Please Note
The workshop will address the practical limitations of trying to control technology use outside the classroom. Rather than attempting to “AI-proof” assignments, we will focus on ways to use these tools thoughtfully and on the ethical considerations that come with them.

Self-Interacting Random Walks

Dr. Jonathon Peterson

Professor of Mathematics
Purdue University

In the classical model for a simple one-dimensional random walk, a random walker steps right or left according to a sequence of independent coin flips. While this model is mathematically tractable and has found many applications in diverse fields such as physics, chemistry, economics, computer science and more, there are some situations where one would like to model random motion that has some more complicated dependence structure. In this talk I will introduce a few different models of self-interacting random walks that I have studied and show how these models can produce interesting (and surprising) asymptotic behavior that is sometimes very different from that of a classical random walk (e.g. non-Gaussian limiting distributions). These random walk models are often simple enough for an undergraduate student to understand (and I will present some results that undergraduate students have obtained in REUs I have directed) but also generate deceptively difficult questions that continue to challenge even experts in the field.