Social and Behavioral Sciences Commons^™

Visual Sampling Patterns In A Naturalistic Setting For Toddlers With Autism, Katherine M. Stockhausen

The Journal of Purdue Undergraduate Research

No abstract provided.

The Influence Of Emotions And Limited Working Memory On Gambling, Haley Crouch

The Journal of Purdue Undergraduate Research

No abstract provided.

Toxic Waste Dumps And Intersectionality, Kaitlyn Vasilko

The Journal of Purdue Undergraduate Research

No abstract provided.

Angelman And Fragile X Syndrome Early Sleeping Patterns, Maelyn Fulton

The Journal of Purdue Undergraduate Research

No abstract provided.

Relocation Incentives In Alaska; Or, The Call Of The Wild And Transfer Payments, Nathan Miller

The Journal of Purdue Undergraduate Research

No abstract provided.

Security At Too High An Environmental Cost?: The European Union's Energy Independence Strategy And Its Environmental Implications For Air Quality In Poland And Hungary, Stephanie P. Peterson

The Journal of Purdue Undergraduate Research

After Russia’s invasion of Ukraine in 2022, the European Union worked to secure liquified natural gas (LNG) deals with third countries to abolish its dependence on Russian gas. In this article, I sought to determine the environmental implications of the European Union’s new LNG deals on the air quality in Hungary and Poland, two former communist states. Despite LNG being a cleaner fossil fuel, I hypothesized that it posed a threat to Hungary’s and Poland’s air quality as both countries endured rapid industrialization under Soviet control that forwent environmental protections. To prove this, I used qualitative data from before the …

Coded Bias In Applicant Tracking Systems, Prithvi Dhanabal, Emily Hao

The Journal of Purdue Undergraduate Research

This Tech Justice Lab project explored potential hiring discrimination against transgender and gender-nonconforming job applicants in the hiring process by evaluating the impact of including pronouns in résumés submitted to an applicant tracking system (ATS) platform. The research team began by collecting background information regarding existing discrimination against transgender job applicants and how ATS platforms can reflect and magnify existing biases in the hiring process. A “sock puppet” audit was then conducted by submitting fake user résumés to test the platform’s response. The chosen platform was Jobscan, an applicant-facing software claiming the ability to simulate a résumé review by major …

Partisan Rhetoric And Polarization: The Year In C-Span Archives Research, Volume 10

The Year in C-SPAN Archives Research

Partisan Rhetoric and Polarization: The Year in C-SPAN Archives Research, Volume 10 features chapters written from a variety of perspectives that address divisions in American politics. The topics range widely, including TikTok, abortion, the middle class, the January 6 riot, and partisan rhetoric in Congress. The unifying theme of the volume is that each author uses C-SPAN videos to examine how members of Congress and other elites speak and act on these issues. Two other thoughtful pieces examine Supreme Court justices speaking off the bench and emotional reactions in presidential debates. Partisan Rhetoric and Polarization provides context to understand how …

Toxic Waste Dumps And Intersectionality, Kaitlyn Vasilko

Purdue Journal of Service-Learning and International Engagement

Beginning in 2023, I started conducting environmental sociology research in Northwest Indiana communities because I wanted to apply what I had been learning in my sociology and behavioral science courses to real community problems. I that found toxic waste dumps (waste dumps that contain waste that is hazardous and require mandates established environmental regulations to ensure public safety) are disproportionately located in Northwest Indiana communities of color and poor whites, and I uncovered severe negative health effects that result from toxic waste dumps, in addition to the inequality faced by the populations impacted. I then conducted interviews in the community …

Profile Interview With Dr. Nadine Dolby, Ian Heinig, Nikhil Gloyeske

Purdue Journal of Service-Learning and International Engagement

No abstract provided.

Crafting The Wings Of Tomorrow's Leaders, Anushka Sharma

Purdue Journal of Service-Learning and International Engagement

SOAR is a social impact initiative I founded in partnership with Big Brothers/Big Sisters Lafayette. We provide novel leadership and character development resources for local Lafayette youth. The motto—engage, uplift, and achieve—speaks to my aims for inspiring the next generation of leaders, within Purdue members and local youth. This reflection essay is an opportunity to express the aims of SOAR, the intentionality behind this initiative, and how I hope to contribute to the development of youth in Lafayette and beyond. Mr. Brennan’s visit is a milestone for SOAR, and having the opportunity to converse with a renowned youth development leader …

Jovial Family Farm Facilitates Intergenerational Learning Opportunities Through Urban Farming, Maera Williams

Purdue Journal of Service-Learning and International Engagement

Maera Williams is a sophomore in Environmental and Ecological Engineering at Purdue University. She joined the Engineering Projects in Community Service (EPICS) Urban Farming team as a freshman and now serves as project manager of ten undergraduate students collaborating with Jovial Family Farm to design and develop three indoor hydroponics systems for a laboratory space on their property in Broad Ripple, IN. Jovial Family Farm is a nonprofit organization founded by Drs. Bobbie and Brian Jellison with the mission to provide senior citizens, their families, and their communities with meaningful engagement opportunities on an intergenerational scale through urban agricultural activities. …

Empowering Tech Professionals: Mentorship And Interview Preparation In The Face Of Industry Layoffs, Sakhi Aggrawal

Purdue Journal of Service-Learning and International Engagement

In recent years, the Information Technology (IT) industry has witnessed significant turmoil, marked by waves of mass layoffs that have left numerous skilled professionals grappling with job loss and uncertainty. The year 2023 alone saw over 250,000 tech workers in U.S.-based companies lose their livelihoods due to corporate restructuring, with renowned giants like Amazon, Alphabet, Microsoft, and Meta being forced to trim their workforce. This unsettling trend highligts a pressing need to support those affected and empower them to regain stability in their careers.

Against this backdrop, I, an experienced technical program manager and software engineer with a background at …

Challenges, Coping Strategies, And Benefits Of Animal-Assisted Crisis Response Following Disasters And Traumatic Events, Yvonne M. Eaton-Stull, Batya G. Jaffe, Kay Scott, Makenzie Shiller

People and Animals: The International Journal of Research and Practice

Animal-assisted crisis response (AACR) is an innovative intervention whereby highly trained comfort dogs offer support in the aftermath of disasters and traumatic events. This qualitative cross-sectional exploratory study investigated the experiences of specialized, experienced AACR handlers. A snowball sampling yielded 99 experienced responders who completed an anonymous electronic survey. Data was analyzed using a qualitative coding process with Atlas.ti. This study explored emotional challenges, handlers’ coping strategies, and benefits provided by the AACR comfort dog. Forty-eight percent of AACR handlers saw human-made crises as the most challenging deployments. Seventy-two percent of handlers rated their distress during a deployment a 3, …

Midwest Entrepreneurship Case Competition (Mecc) Case Prompt - Anonymized, Zoeanna A. Mayhook, Liz Grauel, Annette H. Bochenek, Ilana Stonebraker, Terence O'Neill

Libraries Faculty and Staff Supplemental Materials

This case is an anonymized version of a prompt used in the 2024 Midwest Entrepreneurship Case Competition (MECC), a undergraduate regional event organized in collaboration with multiple Midwest libraries. The prompt challenges students to conduct market validation research using SimplyAnalytics and perform keyword research and analysis.

Dog-Friendly Workplaces: Understanding What Works And Lessons Learned Through Reflexive Thematic Analysis, Eloise Warrilow, Lisbeth Drury, Joanna Yarker, Rachel Lewis

People and Animals: The International Journal of Research and Practice

The demand for pet-friendly practices has increased since the global pandemic, with some employees reporting a preference for working alongside their companion dogs. Despite increased scholarly interest in pet-friendly practices, gaps exist in understanding their real-world impact. This study examines companion-dog-friendly offices postpandemic, focusing on perceived antecedents and outcomes of pet-friendly practices. It aims to identify what works, what does not, and lessons learned. It draws on expertise from the animal welfare and the industrial, work, and organizational psychology sectors. Employing a qualitative approach, this study utilized semistructured, one-hour interviews with 14 participants who had experienced working in a dog-friendly …

Selected Indiana Government Statistical Agencies And Their Data, Bert Chapman

Libraries Faculty and Staff Presentations

Provides coverage of Indiana state government agencies statistics and selected Tippecanoe County, Indiana local government statistical publications. Presentation describes state agencies such as the Indiana Departments of Agriculture, Education, Health, Local Government Finance, and State Budget Agency. Examples of historical and current data are presented.

Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution, Lei Song, Amy E. Frazier, Peter Kedron, Diogo S. A. Araujo, Diyang Cui, Brian J. Enquist, Brian Maitner, Cory Merow, Gabriel M. Moulatlet, Efthymios I. Nikolopoulos, Patrick R. Roehrdanz

I-GUIDE Forum

Biodiversity is essential for maintaining ecosystem balance and functionality, providing vital services such as climate regulation. The rapid decline in biodiversity, driven by habitat loss, habitat fragmentation, and climate change, poses significant threats to ecosystems. Climate change, in particular, is fundamentally altering habitats, leading to shifts in species distributions. However, existing research often lacks decomposed contribution analyses, particularly spatially, for a changing individual environmental attributes when modeling species distribution as an aggregate result of all factors and their interactions. Such analyses are crucial for identifying climate refugia and prioritizing conservation efforts. Taking endangered mammal species as an example, this study …

Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao

I-GUIDE Forum

Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …

Identifying Invasive Species Sightings From Geoai-Validated Social Media Posts, Nathan Fox, Derek Van Berkel

I-GUIDE Forum

The spread of invasive species requires scalable monitoring techniques to help guide management and conservation strategies. Here, we explore the potential of GeoAI for the rapid validation of invasive species sightings through social media data. We utilized the Flickr API to retrieve 23,000 images from posts that contained the names of 72 invasive species across various taxonomic categories within the contiguous USA. Then using BioCLIP, a computer vision model capable of identifying over 450,000 species, we assessed whether these posts genuinely contained the species that the user tagged. Results varied, with some species like the European Starling showing high match …

Understanding Complex Socio-Environmental Systems With Spatial Agent-Based Models, Rebecca C. Vandewalle, Alexander Michels, Furqan Baig, Shaowen Wang

I-GUIDE Forum

Our increasingly connected world is faced with complex socio-environmental problems (e.g., biodiversity loss, climate change, and food insecurity). Tackling these problems requires cross- disciplinary approaches that examine the problems based on synergistic spatial and system thinking. Spatial Agent-Based Models (SABMs) represent a powerful approach to understanding complex socio-environmental systems. However, research on SABMs and associated complex problem solving face grand challenges that must be overcome to effectively unleash the power of SABMs enabled by cyber-based geographic information science and systems (cyberGIS). This paper describes four such grand challenges —reproducibility, scalability, communication, and accessibility. Resolving these challenges will enable new spatial …

Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education, Peter Kedron, Jiahua Chen

I-GUIDE Forum

Uncertainty is an unavoidable part of any spatial analysis, which makes quantifying and communicating uncertainty a requirement of any spatial data science study. However, current curricula leave students understanding the importance of uncertainty and concerned about potential bias, but without an actionable framework to improve their workflows or inferences. We propose a framework rooted in Bloom’s Taxonomy for introducing these concepts to spatial data science students.

A Convergence Framework For Integrating Cybergis Education And Research On I-Guide Platform, Fangzheng Lyu, Furqan Baig, Yunfan Kang, Erick Li, Anand Padmanabhan, Shaowen Wang

I-GUIDE Forum

This paper described Data with Notebooks as a convergence framework for integrating cyberGIS education and research on the I-GUIDE Platform. The I-GUIDE Platform provides rich geospatial data and computing resources and adheres to FAIR (findable, accessible, interoperable, and reusable) data principles. The framework enhances these capabilities by harnessing scalable and reproducible geospatial analytics. Specifically, this framework supports the development of interactive cyberGIS education and research Jupyter Notebooks centered around geospatial datasets. A case study demonstrates the application of the framework, showing six cyberGIS research notebooks and four cyberGIS education notebooks based on a Twitter dataset. The case study and underlying …

Building Blocks For Geospatial Software Education Using The I-Guide Platform, Rebecca C. Vandewalle, Alexander Michels, Zhiyuan Li, Nattapon Jaroenchai, Shaowen Wang

I-GUIDE Forum

By combining advanced cyberinfrastructure with geospatial analysis capabilities and resources in an accessible online environment, the I-GUIDE Platform has great potential for geospatial computing focused education. However, learning occurs in different settings and contexts, both formal and informal. For I-GUIDE Platform to be successful, it should have the flexibility to support a variety of educational needs. In this paper, we argue for an expanded set of front-end building blocks to support diverse education and research use-cases, building on existing cyberGIS capabilities and Jupyter backend. We draw from experience working with the CyberGISX platform as an education tool in different learning …

Tradeoffs Of Generalization, Kyra M. Abrams, Peter T. Darch

I-GUIDE Forum

Models used in geospatial data science are often built and optimized for a specific local context, such as a particular location at a point in time. However, upon publication, these models may be generalized beyond this context, reused in research simulating or predicting other times and places. Without sufficient information or documentation, bias embedded in these models can in turn result in bias in the reuser’s research outputs. Drawing on a long-term qualitative case study of aging dams researchers and developers of models used by these researchers, we find significant documentation gaps. We combine a literature-based genealogy with interviews with …

Data-Intensive Convergence Science For Analyzing Place-Based Spatial Accessibility, Alexander C. Michels, Shaowen Wang

I-GUIDE Forum

Place-based spatial accessibility is a critical tool for measuring the health, resilience, and sustainability of communities. Accessibility methods are employed by a wide range of fields to measure access to food, healthcare, infrastructure and other critical needs. While measures of access are relatively simple, they attempt to capture the complexities of human mobility and spatial decision-making to assess how well populations are served by the infrastructure, resources, and services at their disposal. This paper describes four key areas where data-intensive convergence science can revolutionize our understanding of place-based spatial accessibility by addressing issues of scale, spatial impedance, diversity, and accessibility. …

Federal Election Commission And Indiana Secretary Of State Campaign Finance Information Resoures, Bert Chapman

Libraries Faculty and Staff Presentations

This presentation covers campaign finance information resources produced by the Federal Election Commission (FEC) and Indiana Secretary of State. It describes how these agencies began, details how they oversee and regulate U.S. federal and Indiana state elections, and documents contributions made by individuals, organizations, political parties, and political action committees to individual candidates and organizations. Reporting documentation on these election races is also included.

Midwest Entrepreneurship Case Competition Website (2023-2024), Zoeanna A. Mayhook, Terence O'Neill, Annette H. Bochenek, Ilana Stonebraker

Libraries Faculty and Staff Supplemental Materials

Archived Midwest Entrepreneurship Case Competition Website (November 2023 - October 2024)

Wip: Beyond Keywords: Demonstrating Reproducible And Transparent Database Search Strategies For Engineering Education Systematic Reviews., Margaret Phillips, Jason B. Reed, Dave Zwicky

Libraries Faculty and Staff Scholarship and Research

Abstract—This work-in-progress, research-to-practice paper focuses on creating and reporting reproducible and transparent database search strategies for engineering education-focused systematic reviews. A systematic review, also known as a systematic literature review, is a type of research method designed to comprehensively collect, analyze, and synthesize the literature related to a specific research question(s) using a structured, linear, and detailed approach. The method has its origins in the medical sciences, but has since been adopted and popularized in many other disciplines. Recent research, conducted by the authors, shows that conducting systematic reviews in engineering education is a popular and growing trend globally, but …

Selected U.S. Government Statistical Agencies And Their Data, Bert Chapman

Libraries Faculty and Staff Presentations

Provides introductory and detailed overview of U.S. Government agencies statistics. Includes examples of how an individual U.S. law authorizes government agencies to compile statistics for particular congressional committees and the general public. Statistics cover topics such as demography, defense, foreign assistance, economic growth, criminal justice, energy, Social Security, and Medicare.