OHIO Open Library (Ohio University)

This purpose of this research is to understand mental health support systems that exist in rural central Uganda with limited to no access to medical professionals

Talemwa, Joy

Understanding Mental Health Support Systems in Rural Uganda: A Qualitative Study

Our project is a visualization of data regarding the cemeteries at the Athens Mental Health Cente

Viox, Meredith

Athens Mental Health Visualization: Cemeteries

Further investigating dermal white adipose tissue subpopulations and their specific role in physiological responses could allow for a cellular therapy in response to chronic health issues

Wise, Lauren

Dermal White Adipose Tissue Investigation

The project is research into whether or not staminodes serve a protection function for pollen in flowers

Orr, Abby

Do staminodes protect pollen in flowers?

An overview of the Immersive Quantum Outreach Program, a program designed to bridge the quantum talent gap through a fun and engaging XR medium

Phelps, Brady

- Python: Model Creation
- React: Front-end Framework
- Firebase: Data Storage and Website Hosting
- AWS: Always Up Server
- Basketball Reference & NBA: Data Acquisition
- SciKit Learn: Model Training
- ChatGPT: Used for LLM Agent
Welcome to Moneyballers!
Moneyballers: Sports Prediction and Betting 
Strategies Using Data-Driven Predictive Models 
and Web-Based Visualization
Presenters: Brady Phelps, 
Nick Cunningham,
Tatiana Lipert, Graham Pfeifer
Advisor: Dr. William Young 
Professor of Business Analytics
The InterfaceOverview Secret Sauce?
Architecture & Technology
An advanced sports betting recommendation platform powered by 
machine learning and AI. It leverages extensive NBA statistics, betting 
trends, and other key factors to build predictive models that generate 
intelligent betting strategies. By analyzing both historical and real-
time data, these models continuously enhance prediction accuracy 
and betting decision-making. A web-based interface provides users 
with daily predictions and interactive data visualizations, offering an 
intuitive and easy to navigate experience. Additionally, AI-driven 
agents communicate betting advice and model findings, making data-
driven wagering more accessible. Combining cutting-edge AI, data 
science, and web development, this platform delivers a sophisticated 
yet user-friendly tool for smarter and more strategic betting 
decisions.
Winning and Accurate
Business Model
- Freemium
- Affiliate Programs
Our top models boast over a 4,000 % return on investment, proving 
to be effective at predicting the right matchups to bet on. These 
models are trained on thousands of data points from current and 
past NBA seasons and use numerous machine learning methods to 
build the most effective, informed, and optimized models. Our 
program features over 15 different predictive models, each with their 
own advantages, to give the user the best personalized predictions.
Our models have upwards of 65-70% accuracy in predicting game 
results this NBA season. These results are for moneyline matchups. 
We also feature positive winning percentages for our spread and total 
predictors.
Model A Model B
70.9%
Win rate
67.7%
Win rate
Advanced Analytics
Along with our prediction models, we 
also track and maintain a wealth of 
analytics tracking relative NBA trends 
and team performances. This provides 
us with a leg up on the competition, as 
we are able to provide our customers 
with additional analytics and use our 
own trend data to pass unique 
parameters to our training models.
The home page showcases the day's top picks: "lock," "value," and 
"hot." Its modern and simple design creates a sophisticated feel 
without overwhelming users.
Each day, the service fetches matchups info, processes them through 
our models, and displays these picks on the website. This process 
provides up-to-date game information and predictions.
Daily Picks
Personal AI Betting Agents
Our AI sports agents provide personalized insights with unique 
personalities. They simplify results from numerous prediction models 
into an easy, conversational experience for all users.
Model A
38x ROI
Model C
36x ROI
Model B
13x ROI


English

An Overview of the Immersive Quantum Outreach Program

Using data collected from novel adapted-Hunt drift fence technique (AHDriFT) camera systems, we model the possible distribution of three understudied weasel species across Ohio

Hammond, Tanner

The Real Weasels of Ohio: Where are They Now?
Tanner Hammond1,2*, Madison Cole1, Chase Hetrick1, Marketa Zimova1
1 Dept. of Biological Sciences, OU
2 Dept. of Geography, OU
* Corresponding author: th873721@ohio.edu
Introduction
Figure 2. Species distribution model inputs (species occurrence data and 
covariates) and outputs (probability distribution maps). Probability distributions 
represented with normalized mean predicted intensity.
Species Distribution 
Probabilities × 3
ODNR Properties
Figure 3. ODNR properties >10 km2 in area with average predicted intensity across 
the site. Lighter colors represent higher predicted intensity.
Weasels make up a key part of small mammal communities in 
North America, but have overwhelmingly been overlooked in 
research. Historic data and targeted survey efforts have 
largely been nonexistent due to their difficulty, leading to a 
gap in knowledge for researchers. With recent reports of 
population declines and possible range shifts for weasels 
across North America, we now seek to understand the current 
status and trajectories of these species despite lacking 
historical data (1, 2). 
Here, we take the first steps towards targeted monitoring for 
three species of weasel in Ohio: the long-tailed (Neogale 
frenata), short-tailed (Mustela richardsonii), and least 
(Mustela nivalis) weasel. Using integrated species distribution 
models, we leverage what limited data is available to develop 
distribution predictions for these species that can inform 
future monitoring efforts.
Objectives: 
● Describe and map the potential spatial distributions of 
three species of weasel.
● Select priority monitoring locations for the future based on 
identified hotspots of occurrence for all three species.
Methods
1. Collected all available occurrence records for three species 
of weasel between 1981 and 2025.
○ Presence-only data: iNaturalist, GBIF, sightings reported 
to the Ohio Division of Wildlife.
○ Presence-absence data: Wildlife Insights camera traps.
2. Developed integrated species distribution models using the 
intSDM package in R (3).
○ Forest cover, elevation, and total average temperature 
included as spatial covariates.
3. Designated ODNR properties as high or low priority for 
surveying based on the combined predicted intensity for all 
three species.
Results
Distribution Models:
● Higher predicted intensity (relative number of individuals) 
in northeastern Ohio for all three species (Fig. 2).
● Long-tailed: intensity increases from the west to the east, 
with minimal influence from individual habitat covariates.
● Short-tailed: intensity positively influenced by forest cover 
and negatively by average temperature.
● Least: intensity positively and almost exclusively influenced 
by elevation.
Survey Sites:
● Eastern Ohio properties show the highest combined 
probability of occurrence and would be ideal survey 
locations in the future (Fig. 3).
References
1. Cheeseman et al. (2024). From past habitats to present threats: tracing North American weasel 
distributions through a century of climate and land use change. Landsc. Ecol.
2. Jachowski et al. (2021). Tracking the decline of weasels in North America. PLoS One.
3. Mostert et al. (2025). intSDM: an R package for building a reproducible workflow for the field 
of integrated species distribution models. Nat. Ecol. Evol.
4. Jachowski et al. (2024). Non-invasive methods for monitoring weasels: emerging technologies 
and priorities for future research. Mamm. Rev.
Discussion
Our results indicate an overall higher presence of weasels in 
the eastern half of the state, particularly in the northeast. 
While this may be influenced by the large number of 
observations available around the Cleveland metro area, 
these results align well with previous efforts—which found 
similar distribution patterns within Ohio (1). 
Historically targeted surveys have been limited by the elusive 
nature of weasels, which are often missed during field surveys 
and by typical camera traps. As such, we recommend the 
placement of AHDriFT (adapted-Hunt drift fence technique) 
cameras in sites with high combined intensity. This 
methodology is commonly deployed for small mammals and 
herpetofauna and has been found effective for capturing both 
weasels and their rodent prey (4).
Given the existence of a large scale AHDriFT project 
conducted by Cleveland Metroparks in the northeastern 
portion of the state, we recommend focusing additional 
survey efforts in southeastern Ohio, which has similar 
combined intensity to the northeast, but no large-scale 
focused efforts.
Least Weasel
Presence-Absence DataPresence-Only Data
Species Occurrence Records Spatial Covariates
Short-tailed WeaselLong-tailed Weasel
Environmental Climatic
intSDM 
Model
Distribution Prediction Maps
1
0
Long-tailed weasel Short-tailed weasel Least weasel
Figure 1. The three weasel species of Ohio as seen on iNaturalist. Image credit: 
@smays, @carterdorscht, @a_ma_bird.


Modeling Weasel Distributions in Ohio using Novel Survey Methods

Brock, Angela

UCC Agenda 10-7-25

Program Agenda 10-7-25

Program Agenda 11-18-25

 
 
 
 
PROGRAM REVIEW COMMITTEE – Sherleena Buchman, Chair 
March 18, 2025 
 
Art and Design 
The School of Art and Design graduate programs (M.A. Art History, M.F.A. Ceramics, M.F.A. 
Printmaking, M.F.A. Photography, M.F.A. Painting and Design, M.F.A. Sculpture, M.F.A. 
Graphic Design) are deemed viable from the materials provided.  
 
We would like to highlight the following points as part of our review: 
• The Art and Design programs are nationally recognized and embody our university focus 
on experiential learning.  
• Overall, the programs have consistent graduate enrollment. 
• The school should reconsider aligning itself with a national accreditation organization. 
• We see potential positive outcomes (e.g., goal alignment, resource sharing) of increased 
collaborations between COFA and Scripps. 
• TA concerns related to pay, workload, and training need to be addressed. 
 
Molecular and Cellular Biology 
The Molecular & Cellular Biology graduate programs (PhD in MCB and Chemistry & 
Biochemistry, PhD in MCB and Biological Sciences, and PhD in MCB and Plant Biology) are 
deemed viable from the materials provided.  
 
We would like to highlight the following points as part of our review: 
• These are strong interdisciplinary programs that attract top students and have a high 
retention rate. 
• The programs have strong college and Dean-level support. 
• We strongly recommend that student outcome metrics start to be tracked. 
• Workload issues related to recognition by home departments of faculty effort in teaching 
MCB courses should be addressed. 
• Program-specific academic services, even limited in scope, could aid graduate student 
retention and success. 
• Additional measures to keep stipends competitive with peer institutions will be needed. 
  
Visual Communication  
The School of Visual Communications graduate programs (Photography M.A. and 
Communication Media Arts M.F.A.) are deemed viable from the materials provided.  
 
We would like to highlight the following points as part of our review: 
• The VisCom programs are internationally recognized and embody our university focus on 
experiential learning.  
• There are errors with the faculty count in the program review, however there are clear pain 
points with faculty staffing. We agree that flexible staffing options, including 
virtual/remote adjuncts, need to be considered. 
• We encourage the programs to look at early access/admit mechanisms for grad programs - 
AGP, EAP, and 4+1 options. 
 
• We also encourage the programs to be realistic about elective options considering the 
environment - streamlined programs are more viable long term. 
• The impact of fewer international students due to government restrictions should be 
analyzed. 
• Graduate student support related to stipend support remain an issue. 
• Due to current and upcoming staffing challenges, a coherent strategy for staffing is 
needed. 
 
Graduate Council:  
• Emerging Communication Technologies  
• Film  
 
Awaiting reviewer reports for:  
• OPIE 
 
Waiting for Direct/Dean Response Letters   
• African American Studies (Need Dean Response) 
• Sociology/Anthropology (Need Dean Response) 
• Linguistics (Need Director and Dean Response) 
• Modern Languages (Need Dean Response) 
• Ohio Honors Program (including Cutler Scholars) (Need Dean Response) 
• Philosophy (Need Dean Response) 
• Department of Classics and Religious Studies (Need Dean Response) 
• Associate of Arts / Assoc. of Sciences and Bach of Spec. Studies / Assoc of Indiv. Studies 
(Need Director and Dean Response) 
 
Other PRC Business  
• Updated 10-year review schedule available   
 
Academic Year 2025-26 reviews:  
• Accounting Tech / Business Mgmt 
• Aerospace Studies 
• Counseling and Higher Education 
• Criminal Justice 
• Economics 
• Geography 
• Geological Sciences 
• Center for International Studies 
• Mathematics 
• Political Science 
• Women's, Gender, and Sexuality Studies 
 


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