Digital Commons Network^™

Give Your Data A Glow-Up: Data Visualization With Tableau For Non-Programmers, Rachel Blume, Cameron Nielsen

Library Faculty & Staff Presentations

A well-designed data visualization can be a huge boost in effectively communicating your research findings. Tableau is the most popular, most powerful software for creating custom visualizations from complex datasets without requiring coding skills. This hands-on workshop will walk you through the basics of getting your data loaded into Tableau, choosing the right chart or graph type to best show off your findings, and customizing the results to look professional and aesthetically pleasing.

Bibliographic Instruction And The Need For “Librarian-First” Oer Repositories, Michael Kirby

Publications and Research

No abstract provided.

Interrogating The Sacred And Special: Engaging Students In Diversifying Special Collections, Susan Falciani Maldonado, Sharon L. Albert

Faculty Contributions to Books

The answer to the question “What is the future of special collections?” is one that has evolved in scope over the past twenty-five years. Through the late twentieth century, the role of the special collections librarian seemed largely curatorial: to conserve these precious, unique resources—rare books, archival material, and other unique collections— for posterity and for “serious” researchers. While it remains true that the nature of its special collections can distinguish an academic library in ways that its database and print holdings may not, what emerged in the late 1990s and early 2000s was a movement to put rare books …

Ai Literacy For Instructors Certificate Teaching Materials, Justine Martin

All Resources

These documents contain teaching materials for a four week AI literacy certificate program for instructors. The items include a syllabus, four after class worksheet assignments, and four PowerPoint presentations to guide synchronous Zoom sessions. These materials will help instructors build foundational knowledge and practical skills in the use and evaluation of generative AI (artificial intelligence). Facilitators will be able to explain how generative AI works, promote the applied use of AI chatbots for teaching purposes, and provide discussion and reflection on the ethical ramifications of AI use in higher education classrooms.

Introduction, Amanda Koziura, Amy Tureen

Library Faculty Research

Introduction to the book Making Values-Based Decisions in the Academic Library.

Building A Professional Learning Community To Improve Technical Services Librarians' Teaching Preparedness, Junli Diao

Publications and Research

The Applied Improvement Project (AIP) was conducted to address the inconsistency of academic librarians’ teaching engagement on the AIP site. The problem of practice was framed as the gap between having all librarians prepared to teach and technical services librarians’ unpreparedness to teach. The implemented intervention was developing a professional learning community among technical services librarians of different generations with a variety of teaching experiences to increase teaching preparedness by sharing, discussing, and reflecting. The learning topics covered library teaching basics, motivating students, self-assessment, planning to teach, using Wikipedia, embedded librarianship and credit-bearing courses, teaching and research, and building a …

Resilience And Reality: Exploring The Lived Experiences Of People Living With Hiv In Texas During The Covid-19 Pandemic – A Qualitative Study., Ahmed F. Alanazi

Social Work Dissertations - Archive

This study investigated the lived experiences of individuals living with HIV (PLWH) in the Dallas-Fort Worth (DFW) area of Texas during the COVID-19 pandemic, using an Interpretative Phenomenological Analysis (IPA) framework. The research examined the intersection of health, social dynamics, and psychological resilience among PLWH, who faced compounded vulnerabilities due to systemic inequities and the dual public health crises of HIV and COVID-19. Through semi-structured interviews with ten participants from diverse backgrounds, the study captured the profound impacts of disrupted healthcare systems, heightened stigma, and social isolation on this marginalized population. The findings reveal that the pandemic exacerbated existing inequities …

Digital Chinese Medicine In The Western World: A Conceptual Framework, David C. Mainenti

Selected Full Text Dissertations, 2011-

Digital technology plays an increasing role in Chinese medicine and Western modalities alike. This research uses content analysis and grounded theory for developing a conceptual framework for a digital health system in the Western world termed Digital Chinese Medicine (DCM). Four research questions were proposed: • What are the functional requirements of a DCM system? • What inputs, processes, and outputs are necessary for a DCM system to be both effective and efficient? • What components and features are most desired in a DCM system? • What will a graphical representation of a DCM system look like? Over 475 publications …

Neurodivergent Students And Higher Education: Barriers, Challenges, And Supporting Measures, Courtney Tricarichi-Funk

Selected Full Text Dissertations, 2011-

When neurodivergent students attempt to go to colleges and universities, they often face barriers in accessing higher education and encounter challenges post-admission. This study explores what measures higher learning institutions can develop and implement to make postsecondary education more accessible and less challenging for neurodivergent students by answering the following questions: • What barriers do neurodivergent students face when planning to access higher education? • What challenges do neurodivergent students encounter in higher education after they are admitted? • What measures can be developed and implemented to help neurodivergent students access and succeed in higher education? To address these questions, …

Understanding The Determinants Of Blockchain Adoption: An Empirical Study, Amarpreet Kohli, Nihar Kumthekar, Piyush Shah, Rebecca Jauch

Journal of International Technology and Information Management

Blockchain technology (BT) has the potential to enhance security and robustness of transactions through a distributed ledger bookkeeping process. This study employs technology-organization-environment (TOE) framework and threat-rigidity theory (TRT) to examine whether perceived disruption caused by COVID-19 pandemic significantly impacted the adoption of BT, and inclination to adopt BT in the US. The COVID-19 pandemic provided a unique backdrop, as it affected businesses across all industries, sizes, and geographies. Results show a non-significant effect of perceived pandemic disruption on the current stage of BT adoption and intention to adopt BT. However, disruption readiness positively influences the current stage of BT …

Framing Large Language Models: Teaching Foundational Concepts Of Generative Ai And Information Literacy For Critical Student Engagement, Isaac Wink, Jennifer Hootman

Library Faculty and Staff Publications

This chapter situates the emerging scholarly conversation around AI literacy within the established Association for College and Research Libraries (ACRL) Framework for Information Literacy for Higher Education. We apply three frames in particular: 1) Authority Is Constructed and Contextual, 2) Information Creation as a Process, and 3) Research as Inquiry, considering competencies relevant to students encountering generative AI applications in educational contexts and addressing ways that both students and instructors may seek to engage productively with such tools.

This chapter primarily focuses on tools such as ChatGPT that are built atop large language models (LLMs)—systems trained on massive text corpora—rather …

Urgent Expertise, Explored Together: A Scholarly Communication Peer-Mentoring Group, Alex Crowley, Lily Susman, Rosemary Farrell, Michael Kahn, Carrie Jedlicka, Eric Silberberg, Michelle Ehrenpreis, Marta Bladek, Jill Cirasella

Publications and Research

In Spring 2025, the authors participated in a structured peer-mentoring program designed to deepen their knowledge of scholarly communication topics and issues. In this article, based on our panel at the 2025 LACUNY Institute, we share our perspectives on the program and discuss how current events are making scholarly communication expertise more essential than ever.

Humans Vs. Llms On Open Domain Scientific Claim Verification: A Baseline Study, Benjamin Curtis, Stefania Dzhaman, Matthew Maisonave, Jian Wu

Computer Science Faculty Publications

Verifying scientific claims is challenging for the general public because most people lack domain knowledge. Manual verification by subject domain experts is accurate, but it is obviously not scalable to meet the rising number of scientific claims on the Web. Whether the emerging large language models and large reasoning models can be used for scientific claim verification, and how their performances compare to humans, are still research questions. To this end, we developed a new benchmark MSVEC2 that consists of 138 claims from credible fact verification websites and science news outlets. Two tasks were given to both human and LLM …

Using Llms To Model Arguments In U.S. Supreme Court Briefs: Preliminary Report, Heng Zheng, Dexter Williams, Bertram Ludäscher

Information Science Faculty Publications

Supreme Court briefs can impact the decision-making of Supreme Court cases. We show how to represent the briefs for a U.S. Supreme Court case as a formal argument model that relies on the briefs’ existing structure. We explore how to generate argument models with large language models (LLMs) by using them to identify attacks between arguments.

Biotime 2.0: Expanding And Improving A Database Of Biodiversity Time Series, Maria Dornelas, Laura H. Antão, Amanda E. Bates, Viviana Brambilla, Jonathan M. Chase, Cher F. Y. Chow, Ada Fontrodona-Eslava, Anne E. Magurran, Inês S. Martins, Faye Moyes, Alban Sagouis, Samuel Adu-Acheampong, Daniel Acquah-Lamptey, Dušan Adam, Penelope A. Ajani, Aitor Albaina, Pablo Almaraz, Jeongseop An, Roger Sigismund Anderson, Madelaine Jean Robertson Anderson, Alexsander Z. Antunes, Ivan Arismendi, Linda Armbrecht, Pedro Aros-Mardones, Sreejith Kalpuzha Ashtamoorthy, Narayanan Ayyappan, Gal Badihi, Joseph J. Bailey, Andrew H. Baird, Mark Edward Baird, Sreekumar Vadakkethil Balakrishnan, José António L. Barão-Nóbrega, Adi Barash, Miguel Barbosa, Jos Barlow, Claus Bässler, Matthieu Beaumont, Natalie Beenaerts, Tiago Octavio Begot, Wallace Beiroz, Ricardo Beldade, David M. Bell, Alecia Bellgrove, Jonathan Belmaker, Lisandro Benedetti-Cecchi, Cassandra E. Benkwitt, Pamela Medina-Van Berkum, Brandon T. Bestelmeyer, Matthew C. Betts, Maxwell Kelvin Billah, Anne D. Bjorkman, Magdalena Błażewicz, Christopher P. Bloch, Shane A. Blowes, Antonio Bode, Juliano A. Bogoni, Thomas Bolger, Timothy C. Bonebrake, Erik Bonsdorff, Roberta Bottarin, Luke N. Brokensha, Rob W. Brooker, Andrew J. Brooks, Helge Bruelheide, Thiago Almeida Bueno, Claire Laguionie, Mariana Lopes Campagnoli, James Cant, Erica Pellegrini Caramaschi, Alexandre Caron, Tadhg Carroll, Tancredi Caruso, Juan Carvajal-Quintero, Giuseppe Castaldelli, Edward Castañeda-Moya, Pedro V. Castilho, Sonia Zanini Cechin, Shahar Chaikin, Uchangi Manjunatha Chandrashekara, Tory J. Chase, Chaolun Allen Chen, Jorge José Cherem, Sei-Woong Choi, Erica M. Christensen, Alexander V. Christianini, Jackson Wing Four Chu, Peter Coad, Carl Van Colen, Lise Comte, Elisabeth J. Cooper, J. Hans C. Cornelissen, Eddy Cosson, Unai Cotano, Luc Crevecoeur, Shannan Kyle Crow, Graeme S. Cumming, Vanessa S. Daga, Gabriella Damasceno, Gergana N. Daskalova, Claire H. Davies, Robert A. Davis, Frank P. Day, Sussy De-La-Zerda, Amy Elizabeth Deacon, Indradatta De Castro-Arrazola, Steven Degraer, Kharran Deonarinesingh, Juan C. Diaz-Ricaurte, Christopher R. Dickman, Tara Dirilgen, Ciaran John Dolan, J. Emmett Duffy, Timothy E. Dunn, Giselda Durigan, Ciara Dwyer, Steven Earl, Dor Edelist, Graham John Edgar, Sally Edmonson, Ashley K. Elgin, Kari Elsa Ellingsen, Sarah C. Elmendorf, Ruth S. Eriksen, S. K. Morgan Ernest, Ruben Escribano, Paula Cabral Eterovick, Brian S. Evans, Jason D. Everett, Vesela Evtimova, Dan A. Exton, Andrew J. Fairbairn, Filipe Moreli Fantacini, Fabiano Turini Farah, Fábio Zanella Farneda, Mario E. Favila, Philippe Fernandez-Fournier, Braulio Fernández-Zapata, Diogo F. Ferreira, Carola Ferronato, Christopher R. Du Feu, Alessandra Fidelis, David A. Fifield, Vilmar Picinatto Filho, Walter Mesquita Filho, Robert N. L. Fitt, Carlos A. H. Flechtmann, William R. Fraser, Donna L. Fraser, Lídia Freixas, John Fryxell, Garrett J. Fundakowski, Scott Stanley Gabara, Elise Gallois, Mariana Garcia Criado, Emili García-Berthou, Joaquim Garrabou, Andrew R. Gates, Roberto Cazzola Gatti, Anna Gavioli, Tal Gavriel, Benoit Gendreau-Berthiaume, Xingli Giam, Carina Gjerdrum, Michael Glemnitz, Jasmin Annica Godbold, Daniel Gómez-Gras, Rodrigo Barbosa Gonçalves, Andy Goold, Richard R. Gordon, Menachem Goren, Fernando Vilas Boas Goulart, William G. Gould, Meagan M. Graboski, Nicholas A. J. Graham, Maurício Eduardo Graipel, Laura J. Grange, Aaron C. Greenville, Gary D. Grossman, Valeria A. Guinder, Peter Haase, Gary N. Haskins, Kris Havstad, Luise Hermanutz, Michael Julian Hames Hickford, Pamela Hidalgo, Pedro Higuchi, Andrew S. Hoey, Gert Van Hoey, Annika Hofgaard, Kristen T. Holeck, Robert D. Hollister, Richard T. Holmes, Mia Odell Hoogenboom, Joaquín Hortal, Tammy Horton, Chih-Hao Hsieh, Christine L. Huffard, Ida-Maria Huikkonen, Allen H. Hurlbert, Julian Hynes, Pascal Irz, Natalia Macedo Ivanauskas, Akemi Iwayama, Darren K. James, Ute Jandt, Anna M. Jażdżewska, Merlijn Jocque, Sophie T. Johnston, Samuel E. I. Jones, Faith A. M. Jones, Julia A. Jones, Edite Jucevica, Ugis Kagainis, Maiko Kagami, Jungwon Kang, Xuejia Ke, Erin Colleen Keeley, Rebecca Kinnear, Kari Klanderud, Uwe Klinck, Roel Van Klink, Stefan Klotz, Carolien Kockaert, Halvor Knutsen, Matti Koivula, Alessandra Kortz, Peter Kriegel, Chao-Yang Kuo, David J. Kushner, Rosina Kyerematen, Raphaël Lagarde, Lesley T. Lancaster, Ori Frid Landau, Wouter Van Landuyt, Eric R. Larson, Mai Lazarus, Cheol Min Lee, Jonathan S. Lefcheck, Jonas J. Lembrechts, Renato A. Ferreira De Lima, Romullo Guimarães Lima, Nathália G. S. Lima, Cristina Linares, Sandra C. Lindstrom, Francisco Lloret, John David Lloyd, Cleonice Maria Cardoso Lobato, David M. Lodge, Peter Richard Long, Celeste López-Abbate, Adrià López-Baucells, Julio Louzada, Maite Louzao, Antonella Lugliè, Micheli Ribeiro Luiz, S. Ellen Macdonald, Joshua S. Madin, André Lincoln Barroso Magalhães, Rajindra Mahabir, David Maphisa, Thomas Edward Martin, Marcio Martins, Patrick T. Martone, Silvia Matesanz, Shin-Ichiro S. Matsuzaki, Thomas J. Matthews, Iain Mccombe Matthews, Connie J. Maxwell, Kent P. Mcfarland, Brian J. Mcgill, Diane Marie Mcknight, Michael J. Mcwilliam, Jason Meador, Henning Meesenburg, Kristin Meier, Viesturs Melecis, Peter L. Meserve, Christoph F. J. Meyer, Anders Michelsen, Natali Olivia Roman Miiller, Marco Milardi, Nataliya Milchakova, Robert J. Miller, Jonathan Millett, Tom Moens, Luciano F. A. Montag, Jon Moore, Jörg Müller, Akhil Murali, Shauna Ann Murray, Isla H. Myers-Smith, Randall W. Myster, Masahiro Nakamura, Sasi Nayar, Francis Neat, James A. Nelson, Michael Paul Nelson, Boris P. Nikolov, Rym Nouioua, Collins Ayine Nsor, Michael O' Connor, Edward Adzesiwor Obodai, Amy Marie Offland, Romà Ogaya, Hisako Ogura, Thomas A. Okey, Julian D. Olden, Luiz Gustavo Rodrigues Oliveira-Santos, Jeffrey C. Oliver, Esben Moland Olsen, Vladimir G. Onipchenko, Daniel Oro, Dais Ozolins, Krzysztof Pabis, Bachisio Mario Padedda, Facundo X. Palacio, Alain Paquette, Sinta Trilestari Pardede, David M. Patersib, Sarah Pausina, Raphaël Pélissier, Steven C. Pennings, Josep Penuelas, Felipe Walter Pereira, Nivaldo Peroni, Sergio Picó, Francesca Pilotto, Hudson Tercio Pinheiro, Oscar Pizarro, Roberto Pizzolotto, Francesco Pomati, Paulo Santos Pompeu, Dominique Ponton, Eric Post, Nicolas Poulet, Juha Pöyry, Steven J. Presley, Herbert H. T. Prins, Pieter Provoost, Kathleen L. Prudic, Vignesh Punjayil, Petr Pyšek, Pascal Querner, Juan Pablo Quimbayo, Indar W. Ramnarine, Daniel C. Reed, Peter Bernard Reich, Suzanne M. Remillard, Cerren Richards, Anthony James Richardson, Itai Van Rijin, Victor H. Rivera-Monroy, Christian Rixen, Kevin Peter Robinson, Ricardo Rocha, Ricardo R. Rodrigues, Cassy Rodrigues, Bjørn De Roos, Denise De C. De Rossa-Feres, Loreta Rosselli, Peter Charles Rothlisberg, Ana Rubio, Lars G. Rudstam, Catalina S. Ruz, Nancy B. Rybicki, Gunther Van Ryckegem, Andrew L. Rypel, Jon P. Sadler, Victor Satoru Saito, Sofia Sal, Renato Portela Salomão, Nathan J. Sanders, Flavio A. M. Santos, Tiago Gomes Dos Santos, Swapan Kumar Sarker, Sara E. Scanga, Marcus Schaub, Jochen Schmidt, Inger Kappel Schmidt, Robert L. Schooley, Alfred Schultz, Alberto Scotti, Amanda Serpell-Stevens, Filipe C. Serrano, Elizabeth H. Shadwick, Matthew Shaft, Thomas W. Sherry, Erika Mayumi Shimabukuro, Jacek Siciński, Caya Sievers, Fernando Rodrigues Da Silva, Ana Carolina Da Silva, Juliana M. Silveira, Tadeu Siqueira, Arunkumar Kavidapadinjattathil Sivadasan, Prasad Theruvil Parambil Sivan, Agnija Skuja, Amalia L. Slaughter, Jasper A. Slingsby, Joseph R. Smith, Bruno Eleres Soares, Martin Solan, Flaviana Maluf Souza, Gabriel B. G. Souza, Joshua L. Sprague, Ulrich Stachow, J. John Stadt, Christopher D. Stallings, Radoslav Hristov Stanchev, Emily H. Stanley, Brian M. Starzomski, Jose Mauro Sterza, Maarten Stevens, F. Gary Stiles, Stefan Stoll, Rick D. Stuart-Smith, Yzel Rondon Súarez, Laura Super, Sarah R. Supp, Tapio Sutela, Iain M. Suthers, Anna Suuronen, Kerrie M. Swadling, Daniel K. Szydlowski, Hisatomo Taki, Sara Jeanne Snell Taylor, Pablo A. Tedesco, Nils Teichert, Akira Terui, Gary P. Thiede, Anne Thimonier, Oliver Thomas, Peter Allan Thompson, Simon Thorn, Jeremy S. Tiemann, Luís Felipe Toledo, Anne Tolvanen, Maria Teresa Zugliani Toniato, Ignasi Torre, Marcos Adriano Tortato, Kumiko Totsu, Andrew Trant, Robert R. Twilley, Hirokazu Urabe, Pierre Valade, Nelson Valdivia, Martha Isabel Vallejo, Thomas J. Valone, Jan Vanaverbeke, Tiago Silveira Vasconcelos, Teppo Vehanen, Fábio Venturoli, Hans M. Verheye, Hendrik Jannes Wietse Vermeulen, Arne Verstraeten, Marcelo Vianna, Rui Vieira, João Paulo Santos Vieira-Alencar, Marc Vilella, Jean Ricardo Simões Vitule, Lien Van Vu, Robert B. Waide, Paige S. Warren, Joseph Paul Wayman, Sara L. Webb, Benjamin Weigel, Ellen A. R. Welti, Fritha West, Fulgor Westermann, Matthew A. Whalen, Ethan P. White, Claire E. Widdicombe, Richard Williams, Mark Williamson, Michael R. Willig, Sonja Wipf, Eric J. Woehler, Alje Woldering, Kerry D. Woods, Wu-Bing Xu, Ruthy Yahel, Zeren Yang, Kyle J. A. Zawada, Camila Zornosa-Torres, Assaf Zvuloni

Biological Sciences Faculty Publications

Motivation: Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database.

Main Types of Variables Included: The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised …

Cognitive Biases As Interrupters In Evidence Based Practice Decision-Making: Dataset, Jonathan Eldredge, Deirdre Hill

Publications

No abstract provided.

Comprehensive Benchmarking Of Several Machine Learning And Bayesian Models For Early-Stage Diabetes Risk Prediction: A Large-Scale Comparative Study, Md. Iqbal Hossain, Najila Alam Porno

Mathematics & Statistics Faculty Publications

Diabetes remains a critical global health challenge, with early detection is crucial for effective management. This study presents a comprehensive benchmarking analysis of 14 diverse machine learning and Bayesian models for early-stage diabetes risk prediction using clinical data [2] from Sylhet, Bangladesh. This research evaluated traditional methods (Logistic Regression, Decision Trees), ensemble techniques (Random Forest, XGBoost, LightGBM), Bayesian approaches (BART, Bayesian Logistic Regression), and advanced neural architectures (Deep Belief Networks) using both 70-30 train-test splits and 10-fold cross-validation. The results demonstrate that ensemble methods consistently outperformed other approaches, with Random Forest(RF) achieving the highest cross-validated AUC (0.9951) and accuracy (0.9699). …

Addressing Anti-Black Racism In Library And Information Science Curriculum: A Canadian-Centric Learning Model, Amber Matthews

STEMPS Faculty Publications

Canadian communities are facing a crisis of inequity, and library service providers must do more to respond to the causal conditions of anti-Black and other forms of systemic racism (Black & Mehra, 2023). Beginning in 2022, the first known Canadian MLIS course, Anti-Racism in Library and Information Science, was piloted at Western University. It aimed to allow students to engage with transformative and collaborative anti-racism frameworks relevant to the Canadian library sector and MLIS curriculum. The one-semester (13-week) course was offered once each summer in 2022 and 2023. The multi-faceted course aimed to equip students with community-based approaches to learning …

Perspectives 2025, Oberlin College Libraries

Perspectives Annual Reports

No abstract provided.

Success Is A Journey, Not A Destination: The Student Library Assistants Of Georgia (Slags) At G. W. Carver School In Richmond Hill, Georgia, 1960-1968, Christopher C. Elkins

College of Graduate Studies: Theses & Dissertations

This dissertation examines two chapters of Black education in Georgia that have been largely ignored in the study of curriculum and educational history, namely the George Washington Carver School located in Richmond Hill, Georgia and the Student Library Assistants of Georgia (SLAGS) that existed statewide in many Black schools. G.W. Carver School, built in 1939 and funded by automaker Henry Ford, is mentioned briefly in multiple works that either relate to Ford or cover the general history of Richmond Hill. Utilizing oral history and archival documents, this study emphasizes the significant contribution the SLAGS program made to students at G. …

Generative Ai And Finding The Law, Paul D. Callister

Faculty Works

Legal information science requires, among other things, principles and theories. The article states six principles or considerations that any discussion of generative AI large language models and their role in finding the law must include. The article concludes that law librarianship will increasingly become legal information science and require new paradigms. In addition to the six principles, the article applies ecological holistic media theory to understand the relationship of the legal community’s cognitive authority, institutions, techné (technology, medium and method), geopolitical factors, and the past and future to understand the changes in this information milieu. The article also explains generative …

A New Guide To Kf Modified: Kf Classification Modified For Use In Canadian And Common Law Law Libraries, F. Tim Knight, Janet M. Moss

Librarian Publications & Presentations

The revised and updated edition of the Guide to KF Classification Modified for Use in Canadian Law Libraries written by Janet M. Moss of the Gerard V. La Forest Law Library at the University of New Brunswick in 2004 and published in 2006 as an Occasional Paper by the Canadian Association of Law Libraries/L'Association canadienne des bibliothèques de droit. This revision clarifies the use of KF Modified, incorporates the enhancements and improvements that have been applied to the KF Modified classification scheme during the intervening years, and contributes to the consistent use of this classification scheme in law libraries using …

Evaluating The Evaluators: The Role Of Benchmarks In Legal Ai, Jonathan A. Franklin, Sean Harrington, Christine Hye Won Park

Other Faculty Publications

No abstract provided.

Lbsci 702: Information Sources And Service: General, Nafiz Z. Shuva

Open Educational Resources

No abstract provided.

The Politics Of Memory: The Memorialization Of Student Protests And The Archive, Jane Orkand Lovett

Scripps Senior Theses

This thesis explores the politics of memory and archival power in student activism at Scripps College, arguing that archives are active sites where social power is negotiated and contested. Using frameworks of institutional versus collective memory and John Gaventa’s three dimensions of power, it examines how architectural, digital, and physical archives shape narratives of resistance and institutional authority. Case studies, including the Drop Sodexo campaign, Scripps Graffiti Wall, and the Liberation Through Education movement, demonstrate how students use archives to assert agency, counter institutional narratives, and sustain political momentum. The study highlights the co-optation of activism by institutional actors and …

Introduction To Systematic Review For The Health Sciences (Spring 2025), Bethany S. Mcgowan

Libraries Faculty and Staff Creative Materials

The course syllabus for the Spring 2025 iteration of the graduate course ILS 595: Introduction to Systematic Review for the Health Sciences.

A Textbook Equity Student Advisory Board, Karlee Colby, Anne Marie H. Gruber

Faculty Publications

Engaging college students in advocacy related to open educational resources (OER) is an important way to raise awareness and encourage OER adoption on campuses in higher education. The student perspective is vital to encouraging instructors and administrators to be responsive to student needs, concerns, and preferences related to course materials access, and to consider affordability and usage rights. This case study describes the library-facilitated Textbook Equity Student Advisory Board at the University of Northern Iowa, a medium-sized regional comprehensive university. The board serves as a two-way communication outlet between textbook equity campus leaders and students, including student government. This article …

Lbsci 723: Advanced Subject Cataloging And Classification, Shuheng Wu

Open Educational Resources

No abstract provided.

Predicting Crises On The African Frontier Stock Markets With Investor Sentiment Indicators: A Machine Learning Approach, David Korsah, Lord Mensah

Journal of International Technology and Information Management

This study examined the predictive ability of machine learning algorithms in identifying crises within African stock markets. The study employed seven distinct machine-learning models, analyzing historical stock prices from eight stock markets, three major sentiment indicators, and the exchange rates of local currencies against the US dollar, with each data spanning from May 1, 2007, to April 1, 2023. Extreme Gradient Boosting (XGBoost) emerged as the most effective algorithm for predicting crises. Historical stock prices and exchange rates were identified as the most critical features for prediction. On the sentiment side, investors’ perceptions of potential volatility on the S&P 500, …

Preventive Health Care Information Seeking Behaviors Among Baby Boomers In Taiwan, Alexander N. Chen, Michael J. Rubach, Tracy Suter, Hsin Ke Lu, Mark E. Mcmurtrey

Journal of International Technology and Information Management

Preventive health care is widely acknowledged as one of the most effective ways to reduce medical costs and enhance people's health. Preventive health care information (PHCI) is a crucial component. This study examines the PHCI-seeking behaviors of Taiwanese baby boomers. The study found some support for the idea that the preferred media used influenced the likelihood of Information seeking behavior. People with good health conditions were found to be more likely to seek PHCI, while people with greater health care needs sought out PHCI less frequently. The study examined social influences, which were found to be important. Three different types …