Social and Behavioral Sciences Commons^™

Maximizing Database Impact: Funding Strategies And Faculty Engagement, Jennifer Horne

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Keeping It Simple: Creating A Libguide For Tricky Database Logins., Abigail Morgan

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Improving The Circulation Of Federal Reserve Banks Research With A Working Paper Digest, Scott St. Louis

Midwest Business Librarian Summit (MBLS)

Across the 12 regional Federal Reserve banks, more than 400 economists produce hundreds of freely accessible working papers each year. Until recently, there was not a single resource with which to stay current on their release. In response, librarians across the Fed spearheaded a new initiative: A monthly email digest, Latest Working Papers from the Federal Reserve Banks, now delivers new economic research directly to subscribers. In fewer than 30 days following its initial issue in July 2024, Latest Working Papers from the Federal Reserve Banks gained more than 1,300 subscribers in more than 30 countries on six continents. This …

Getting Down To Brass Tacks, John Amundsen

Midwest Business Librarian Summit (MBLS)

John Amundsen, Business Librarian with the Wilmette Public Library and current chair of the RUSA-BRASS Business Reference in Public Libraries Committee, will provide a brief update on the current activities of his committee and outline opportunities for business librarians to engage on the national level through RUSA’s Business and Reference Services Section, both through his committee’s projects and BRASS’s other amazing and dynamic groups

Insights From Interviews With College Seniors And Career Course Instructors, Kathryn E. Bullock, Ilana Stonebraker

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Expand Your Programs Through Collaboration, Bryan Brugger

Midwest Business Librarian Summit (MBLS)

It is possible to expand the reach of programming by collaborating with other libraries and community partners. Many business/finance/career development programs tend to pull small audiences. By working with other partners it is possible to offer more programs, typically virtual programs, with less effort for each library, and get a higher turnout at the same time. The Northbrook Library has engaged in 3 different partnerships since the pandemic began on a variety of topics and seen attendance reach numbers impossible for individual libraries to attain. This will look at these three partnerships and the results they have had.

Experiencing The Business Library With The Grow Irish Program, Michael Deike

Midwest Business Librarian Summit (MBLS)

This lightning talk highlights the role of the Thomas Mahaffey Jr. Business Library in empowering graduate students participating in an experiential immersion program referred to as Grow Irish. The Grow Irish program at the Mendoza College of Business sends students for a week to work directly with domestic and international companies on real world issues facing the business environment. Recognizing the diverse and complex challenges posed by collaborating with domestic and international companies with a tight turnaround time, the business librarians create specialized research dossiers tailored to each specific project. For international teams, the librarians also provide cultural memos to …

Five Things To Know And Teach About Genai In Business Research, Marydee Ojala

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Serving The Business And Nonprofit Community Of Indianapolis, Divya Pathak

Midwest Business Librarian Summit (MBLS)

In this lightning talk, I will discuss the work of the Nonprofit team at Indianapolis Public Library. We run a workshop series twice a year, offer additional classes, and meet with people one-on-one. The library also offers a small business workshop series and individual appointments for prospective business owners.

Marketing The Library: Using Business Students To Increase Library Patronage After The Covid-19 Pandemic, Sandra L. Teft

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Library As Launchpad: Empowering Young Entrepreneurs At Cpl, Lauren Gramly

Midwest Business Librarian Summit (MBLS)

No abstract provided.

Business Librarian Collaboration In The Midwest Entrepreneurship Case Competition, Zoeanna A. Mayhook

Midwest Business Librarian Summit (MBLS)

Launched in 2024, the Midwest Entrepreneurship Case Competition (MECC) is a regional case competition organized by business librarians and designed for undergraduate students across the Midwest. The competition helps students strengthen their business research skills while competing for prize incentives, generously sponsored by vendors of widely used business databases.

In addition to supporting student learning, MECC facilitates meaningful collaboration among business librarians involved in planning and implementation. It also offers a valuable window into how students engage with business information tools to support informed and strategic decision-making. This presentation will highlight the benefits of partnering with MECC and share upcoming …

Evolving Trends: A Bibliometric Analysis Of Academic Librarians’ Publications At Twelve Aau Member Universities, Pete E. Pascuzzi, Jason B. Reed, Greenley Goedde Creech

Libraries Faculty and Staff Scholarship and Research

The goal of this bibliometric study was to explore the broader publication patterns of academic librarians in both information and library science (ISLS) and interdisciplinary research for the years 2009 - 2023. Web of Science data were collected for twelve academic libraries. The results showed that while the number of ISLS publications has dropped, interdisciplinary publications have increased dramatically with a broad range of disciplines represented, and collaborations in the medical sciences were a major contributor to this increase. The study suggests that some academic libraries have shifted their priorities over the past fifteen years and that the assessment of …

Mapping Responsible Workflows For Geospatial Data Science: Developing The I-Guide Data Ethics Toolkit, Peter T. Darch, Kyra M. Abrams, Ivan Y M Kong

I-GUIDE Forum

AI workflows in geospatial data science offer significant societal benefits but raise ethical, transparency, and reproducibility challenges. Current ethical frameworks and tools are often hard to integrate into daily research practice. This paper introduces the I-GUIDE Data Ethics Toolkit (DET), a lightweight suite designed for users of the NSF-funded Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE). Based on a longitudinal mixed-methods study, including surveys, interviews, and observations, we identified five design priorities: usability, anticipatory planning, distributed responsibility, comprehensive coverage, and policy compliance. We integrated existing AI and data research lifecycles into an eight-stage I-GUIDE Research Lifecycle, serving …

Evaluating The Evaluation Matrices: Integrating Spatial Assessment In Geospatial Ai Model Training And Evaluation, Fangzheng Lyu

I-GUIDE Forum

This paper examines the limitations of current evaluation metrics in GeoAI. Through two case studies on deep learning models—a building detection classification problem and a remote sensing image fusion regression problem—this paper demonstrates how traditional statistical evaluation matrices alone can be misleading in geospatial problems. The findings indicate that traditional metrics (e.g., RMSE, MAE) used in current GeoAI models can have difficulty capturing the spatial dimensions inherent to geospatial problems. This paper suggests that the model evaluation process in GeoAI should move beyond traditional evaluation matrices by integrating spatial thinking throughout the modeling pipeline—not only incorporating spatial accuracy in model …

Expanding Access To Cybergis-Compute Through Support For Heterogeneous Workflows, Alexander C. Michels, Ian Zhang, Anand Padmanabhan, John Speaks, Rebecca Vandewalle, Shaowen Wang

I-GUIDE Forum

CyberGIS-Compute is a geospatial middleware tool designed to lower technical barriers to High-Performance Computing (HPC) resources. It provides end-users with a Graphical User Interface (GUI) for submitting models to HPC and allows model developers to contribute their workflows by adding a manifest to their repositories. However, the simplification of the user interface and streamlining of model contribution have unintentionally limited the scope of models that could be run on CyberGIS-Compute. In this paper, we discuss recent developments to the CyberGIS-Compute project that are aimed at supporting a wider variety of workflows including performance enhancements, supporting additional configuration options for jobs, …

Assessing Vulnerabilities Associated With High-Risk Dams In Utah, Courtney Flint Dr., Michael Englert, Upmanu Lall Dr.

I-GUIDE Forum

Across the United States, the age of dam infrastructure presents a substantial threat. The potential for structural failure associated with these aging dams is exacerbated by increased climate uncertainty and the threat of dam overtopping due to extreme and prolonged precipitation events. These compound threats place downstream areas at pronounced risk. These downstream areas vary widely. Some are relatively free of vulnerable elements, while others have a complex mix of infrastructure, populations, and ecologically important elements. This paper highlights the risk situation associated with aging dams and hydroclimatic extremes, the methodological and geospatial challenges and opportunities associated with mapping the …

Co-Creating Ai Learning Solutions: A Qualitative Analysis Of Student And Faculty Deliverables In An Algorithmic Literacy Learning Community, Samantha Legrand, Zoeanna Mayhook, Jing Lu

Libraries Faculty and Staff Scholarship and Research

This research describes the conceptual development and insights from implementation of Partners for Algorithmic Literacy (PAL) - a groundbreaking student-faculty learning community model, facilitated by academic librarians, where undergraduates and instructors partner to co-design curricular plans integrating or interrogating AI in the classroom. In the fall of 2023 and 2024, two cohorts in this learning community were partnered. In weekly sessions, partners experimented with AI tools and engaged PAL’s novel Algorithmic Literacy Pedagogy Framework to guide their conversations and co-design process.

Employing qualitative content analysis, an in-depth exploration is underway to glean valuable insights from the student-faculty partners’ personal reflections, …

Selected Artificial Intelligence Provisions In U.S. Fiscal Year 2025 National Defense Authorization Act, Bert Chapman

Libraries Faculty and Staff Presentations

The 2025 Fiscal Year National Defense Authorization Act contains multiple provisions relating to artificial intelligence (AI). These congressionally mandated provisions direct various sections of the Department of Defense (DOD) and individual U.S. armed service branches to execute congressional intent for AI policymaking. Examples of such intent include identifying and planning DOD's AI workforce, demonstrating AI biotechnology applications for national security, improving the human usability of AI systems, and establishing an AI security center. This presentation will note that reports on these initiatives must be prepared for relevant congressional oversight committees, and, in many cases, are in many cases, publicly released …

Beyond Core Object Recognition: Dnns As Models Of Dynamic Scene Perception, Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

MODVIS Workshop

Deep neural networks (DNNs) have become influential computational models of human vision, particularly in explaining neural responses in the ventral stream. However, they frequently diverge from well-established findings in psychophysics, especially with regard to human perceptual biases, robustness, and generalization behavior. Much of the progress in aligning DNNs with human perception has focused on the task of core object recognition—the rapid identification of objects in static images (DiCarlo et al., 2012). In contrast, other critical dimensions of visual perception, such as motion processing and multi-object scene understanding, remain comparatively underexplored. In this talk, I present our recent work on modeling …

Effect Of Response Bias On Threshold Estimates In Confounded N-Alternative Optional Choice Experiments, James J. Blaha, Benjamin T. Backus, Thaddeus B. Czuba

MODVIS Workshop

Three modifications of the familiar 2-AFC task can be useful when collecting data to estimate sensory thresholds from unpracticed participants: (1) Make responding optional, which relieves the participant from having to guess when they are uncertain; (2) Provide N>2 alternatives, which reduces the number of trials to estimate threshold; and (3) Confound the alternatives with an independent variable, for example by having participants choose visual field locations as alternatives when measuring threshold separately at each visual field location, which reduces the number of trials through multiplexing. The N-alternative optional-choice experiment (N-AOC) and its confounded variant have not been studied …

The N-Alternative Optional Choice Experiment, Benjamin T. Backus, James J. Blaha, Thaddeus B. Czuba

MODVIS Workshop

When testing visual function in clinical settings, one encounters test-takers who have difficulty following a forced-choice instruction when stimulus intensity is low. “I didn’t see anything, why do I have to guess?” An optional-choice paradigm makes it easier for these test-takers to provide data. Here we describe a theory of signal detection for N-alternative optional-choice (N-AOC) psychophysical tasks. The theory generalizes two well-known paradigms into a single framework: the theory for yes-no tasks is a degenerate case in which N=1, and the theory for N-alternative forced choice tasks (N-AFC) is a degenerate case in which the decision criterion is liberal. …

Research And Reflections On Southeast Asian American Education And Advancement, Wayne E. Wright, Vikrant Chap, Phitsamay S. Uy, Chhany Sak-Humphry, Vichet Chhuon, Bryan Thao Worra

Purdue University Press Books

This book is in commemoration of the twentieth anniversary of the Journal of Southeast Asian American Education and Advancement (JSAAEA) and the fiftieth anniversary of Southeast Asian American refugee resettlement in the United States. Pivotal research articles, reviews, and creative works from past issues of JSAAEA have been selected for this volume to document the history and experiences of Cambodian, Laotian, Hmong, and Vietnamese Americans since initial refugee resettlement began in the United States in 1975, as well as the experiences of more recent Southeast Asian immigrant and refugee groups. Reviews of academic books, novels, memoirs, children’s books, and motion …

Bayesian Model Predicts Confidence In Perceptual Decision, Xinyi Yuan, Ralf M. Haefner

MODVIS Workshop

No abstract provided.

Using Neural Networks To Better Understand Static And Dynamic Components Of Facial Expression Recognition, Yi-Fan Li, Anne Bibiana Sereno

MODVIS Workshop

Facial expressions are crucial social information for human communication. In the real world, facial expressions are dynamic; however, much of existing research in facial expressions relies on static stimuli. This static approach may limit the ecological validity of our understanding of the emotional information on faces. Our study aims to investigate the dynamic and static information contained in different emotional categories of facial expressions (e.g., happy, sad). Four convolutional neural networks are introduced as models to be trained with a large-scale dynamic facial expression dataset (short videoclips of 16 frames of 7 different emotional categories) in four different ways: ordered …

Bilateral Symmetric 3d Reconstructor (Biased): A 3-Dimensional Object Re- Construction Model Demonstrating Human-Like Shape Constancy, Doreen Hii

MODVIS Workshop

No abstract provided.

Modeling Effects Of Edge Classification And Perceptual Organization On The Appearance Of Disk/Annulus Stimuli, Michael E. Rudd

MODVIS Workshop

In classical theories of sensory psychophysics, appearance matches conducted with simple stimuli consisting of disks surrounded by annuli were posited to probe low-level contrast mechanisms in the visual pathways that computed the approximate luminance ratio between the disk and annulus for the purpose of achieving lightness constancy (Wallach, 1948). Subsequent models have explained such matches on the basis of neural edge integration (Shapley & Reid, 1985; Rudd & Zemach, 2004). Here, I demonstrate that appearances matches made in the disk/annulus paradigm are influenced by at least two types of top-down effects involving edge classification and perceptual organization. I present a …

Fixational Eye Movements Shake Up The Stationary View On Pattern Vision, Lynn Schmittwilken, Marianne Maertens

MODVIS Workshop

No abstract provided.

It’S All About The Ruff: Utilizing Therapy Dogs To Address Trauma In Domestic Violence Settings, John R. Chapin, Grace A. Coleman, Michael Brayack

People and Animals: The International Journal of Research and Practice

Within the context of victims and violence, this study serves multiple purposes: (1) to explore the impact of pet ownership on children and adolescents within the context of bullying and school violence; (2) to document the impact of therapy animals on domestic violence victims; (3) to document the impact of working canines in courts on domestic violence victims. Findings from three surveys (1,648 children and adolescents in school; 12 child counseling clients; 41 adult domestic violence counseling clients; and 69 domestic violence victims in court) contribute to a growing literature documenting the psychological benefits of interacting with pets and animals …

Archival Literacy And Primary Source Literacy: A Collaborative Instructional Toolkit For Introductory Composition And Beyond, Kristin B. Leaman, Adriana Harmeyer

Libraries Faculty and Staff Scholarship and Research

This article is a case study that addresses challenges archivists and introductory composition instructors can experience when working to embed archival and primary source literacy into a course and models how to successfully overcome related obstacles. Building on the excellent work of James Roussain, it employs the archivist-as-educator model not only to teach the students but also to train the disciplinary instructor. Teaching instructors archival and primary source literacy and training them how to teach these types of literacy enhances student success. Acknowledging the literature that discusses the ineffectiveness of one-shot guest lectures, the authors have designed and piloted an …