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Episode 11 - Paths into the archives, Library Table Talk
No full textProduced by Hannah Cabullo and Stephanie Sparrow.
49:34 minutes runtime. For more information, please visit the Library Table Talk website at z.umn.edu/LibraryTableTalkThere is no single path into archives. In this episode of Library Table Talk, guest hosts Michael Bean and Raegan Stearns share their personal journeys into archival work, reflecting on chance encounters, community influence, and the work of preserving memory. The conversation invites listeners to rethink what it means to become an archivist.Bean, Michael; Stearns, Raegan C.. (2026). Episode 11 - Paths into the archives, Library Table Talk. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278239
Integration of Travel Demand Management for Highway Projects
No full textTravel Demand Management (TDM) refers to the use of strategies that maximize the efficiency of our transportation systems. These strategies aim to reduce the need for peak-time travel, improve existing travel options, and create new choices for travelers. This study responds to the Metropolitan Council's recommendation to "Conduct a Study on Integrating TDM in Highway Projects," available in its TDM Action Plan. The goal of this work was to identify how TDM strategies can be incorporated into all phases of highway construction projects.Researchers conducted a nationwide scan of how TDM has been integrated into roadway projects, grouped into four categories focused on: integration into policy, integration in the planning or construction phases, strategies to enhance modal choice, and strategies to manage demand on a corridor. From these cases, researchers identified seven best practices: incorporating TDM policies and practices into development, understanding community needs, setting SMART (specific, measurable, achievable, relevant, and time-bound) goals and a plan to document progress toward them, and ensuring that the strategies selected can work in conjunction with each other, are flexible, and have sustained funding. These practices provide guidance for policy makers, planners and engineers, and local officials to craft TDM policies and plans into highway projects. Ultimately, the integration of TDM into highway projects enhances travel options and creates modal choices for travelers. In addition, this approach could lead to more efficient transportation systems and contribute to delaying or removing the need for a highway project in the first place.Denten, Kaitlyn; Fonseca-Sarmiento, Camila; Knight, Owen; Douma, Frank. (2026). Integration of Travel Demand Management for Highway Projects. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278972
Why carbon offsets may fail in complex systems: A causal inference perspective
No full textSocial-ecological system dynamics present a fundamental challenge to the attribution of changes in carbon stocks to actions taken by carbon offset sellers. We illustrate this challenge by demonstrating theoretical limitations to causal attribution in two cases from Brazil and India. We show that carbon outcomes in these nature-based carbon offset projects emerge from non-linear and independent dynamics that are the result of the inherent complexity of social-ecological systems, where large numbers of variables jointly influence causal processes. This creates high levels of uncertainty about the causes of outcomes, and thus makes it very difficult to attribute changes in carbon storage to specific causes, such as offset-funded programs. Furthermore, the predominant solution to this problem suggested in the literature, improved causal inference methods, fails to address the challenge because these methods are designed to estimate average effects across many cases, not to measure causality in specific cases. Even well-designed and resourced projects, such as our two cases, must demonstrate their own measurable impact to serve as offsets, and our analysis suggests that current methods are unable to overcome the joint challenges of causal complexity and methods that estimate average, not individual effects. The need for offsets to demonstrate individual causality makes them quite different from analogous conservation tools such as Payment for Ecosystem Services (PES), highlighting why project-based offsetting consistently struggles to meet the expectations of credibility. To achieve effective climate change mitigation, policymakers need to focusRana, Pushpendra; Fleischman, Forrest; Sharma, Amit. (2026). Why carbon offsets may fail in complex systems: A causal inference perspective. Retrieved from the University Digital Conservancy, https://doi.org/10.1016/j.envsci.2026.104325
University of Minnesota, Twin Cities Class Schedule, Spring 2026
No full textUniversity of Minnesota, Twin Cities Class Schedule, Spring 2026University of Minnesota, Twin Cities Class Schedule, Spring 2026Academic Support Resources, University of Minnesota. (2026). University of Minnesota, Twin Cities Class Schedule, Spring 2026. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277843
Navigating the AI Revolution in Nursing: A Polarity Intelligence Approach to Managing Technology and Human Connection
No full textThis article proposes that the AI integration challenge in nursing represents a polarity to manage rather than a problem to solve. By applying Polarity Management principles, building on Bonnie Wesorick's foundational work in healthcare transformation, and developing Polarity Intelligence, nursing leaders can move beyond the debate of whether to embrace or resist AI toward a more productive question: How do we leverage both technological capability and human connection to achieve optimal patient outcomes and professional flourishing?Artificial intelligence (AI) represents one of the most significant technological transformations in healthcare history. The nursing profession finds itself at a critical juncture, navigating between the promise of AI-enhanced efficiency and the preservation of human-centered care. This article proposes that the debate between AI adoption and resistance is not a problem to be solved but a polarity to be managed. Drawing on Barry Johnson's Polarity Management framework, Bonnie Wesorick's pioneering application of polarity thinking to healthcare transformation, and the Polarity Intelligence model developed by Tracy Christopherson and Michelle Troseth, this analysis provides nursing leaders with conceptual tools and practical strategies for leveraging the tension between technological innovation and human connection. The article integrates the theoretical contributions of Jean Watson's Caring Science, Patricia Benner's work on clinical expertise, and Christine Tanner's Clinical Judgment Model to illuminate what is at stake in the human connection pole. A comprehensive polarity map illustrates the greater purpose, deepest fears, upsides, and downsides of both stances. The article concludes with actionable tools for nurse leaders to facilitate productive dialogue and sustainable integration of AI while protecting the caring essence of nursing practice.Pesut, Daniel. (2026). Navigating the AI Revolution in Nursing: A Polarity Intelligence Approach to Managing Technology and Human Connection. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277848
Using Electric Vehicle Onboard Data for Pavement Quality Assessment and Management
No full textThis project investigated the feasibility of using electric vehicle onboard diagnostics (OBD-II) data for pavement quality assessment in Minnesota, inspired by Denmark's Live Road Assessment (LiRA) project. The research addressed the critical need for cost-effective, continuous pavement monitoring to supplement expensive instrumented vehicle surveys traditionally used by the Minnesota Department of Transportation (MnDOT). The methodology involved a comprehensive OBD-II scanner evaluation, selecting the OBDLink LX device for its superior compatibility with electric vehicles and ability to collect 694 Parameter IDs (PIDs). Data collection occurred across three test routes: MN-36 loop, Metro to Northfield loop, and MnROAD facility, generating around 10,000 data points synchronized with MnDOT's high-precision Pathways van measurements. The LiRA software framework was adapted through systematic data preprocessing, feature engineering using Sequential Feature Selection, and machine learning model development. Results demonstrated that hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) models achieved the best performance when using speed combined with vehicle orientation and acceleration features, yielding root mean square error (RMSE) values of 0.172 compared to MnDOT reference data. The methodology showed correlation with both MnDOT measurements and NIRA Dynamics network-level data across diverse road conditions, though performance varied based on environmental factors and data collection conditions. Implementation guidelines were developed for large-scale deployment, including equipment standardization protocols, data-processing pipelines, and risk-mitigation strategies. The research indicates that vehicle sensor data can provide useful pavement condition information for continuous infrastructure monitoring with reduced incremental cost. This approach shows potential for supplementing traditional pavement management systems, though successful implementation requires careful consideration of multiple operational factors and validation protocols to ensure reliable performance across varying conditions.Stern, Raphael; Nouhi, Shaghayegh; Turos, Mugurel; He, Qizhi; Lin, Zihan; Marasteanu, Mihai. (2026). Using Electric Vehicle Onboard Data for Pavement Quality Assessment and Management. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278959
ICI Staff Newsletter "FYI" January 2026
No full textThe Institute's monthly staff newsletter features news of recent activities, accomplishments, and resources. This month's first feature story is about ICI researchers documenting the experiences of people with intellectual and other developmental disabilities (IDD) and their families to build a new model for community living. The second story is about John Sauer (1944-2025), a former ICI staff member guided by values of social justice, inclusivity, and respect for people with disabilities. This month's Update is Maren Christenson Hofer (MNLEND 2018–19), who is leading the Multicultural Autism Action Network through challenging times.University of Minnesota, Institute on Community Integration. (2026). ICI Staff Newsletter "FYI" January 2026. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277922
Episode 201: The Twilight Zone of Immunization
No full textRuntime 00:51:49In "The Twilight Zone of Immunization," Dr. Osterholm and Chris Dall discuss recent comments from CDC officials about measles, the US withdrawal from the WHO, and the latest mpox news. Dr. Osterholm also shares an update on this winter respiratory virus season and discusses the challenges that families are facing in accessing healthcare amid immigration enforcement surges in Minnesota. Minnesota residents delay medical care for fear of encountering ICE (CIDRAP, https://www.cidrap.umn.edu/influenza-general/minnesota-residents-delay-medical-care-fear-encountering-ice); Press Release: CIDRAP launches new partnerships to support independent, evidence-based vaccine information (CIDRAP, https://www.cidrap.umn.edu/sites/default/files/page-files/Jan2726CIDRAPrelease-Unbiased%20Sci-TEC-Partnership.pdf).Dall, Chris; Osterholm, Michael. (2026). Episode 201: The Twilight Zone of Immunization. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278883
A META-INTEGRATION OF THEORETICAL FRAMEWORKS FOR NURSE EDUCATOR PROFESSIONAL DEVELOPMENT
No full textThe central argument of this work is that nurse educators deserve—and nursing education requires—a professional development infrastructure that is as theoretically rigorous, practically grounded, contextually responsive, and equity-conscious as the educational programs they design and deliver. The frameworks reviewed and integrated in this article provide the theoretical foundation for such an infrastructure. The practices, strategies, and resources described provide actionable pathways for realizing it. The equity analysis provides the critical lens through which all developmental efforts must be filtered to ensure that the benefits of scholarly development are equitably distributed across the nursing education workforce. Nurse educators are the stewards of the nursing profession's future. Their scholarly development is not a private career concern; it is a public health imperative. The meta-integrated framework presented here is offered in that spirit—as a contribution to the collective project of building a nursing education workforce that is scholarly in practice, equitable in commitment, and transformative in impact.Nurse educators occupy a uniquely complex professional identity that integrates clinical expertise, pedagogical scholarship, reflective practice, institutional leadership, and community engagement. This expanded article proposes and elaborates a meta-integrated theoretical framework synthesizing four complementary models: Bloom's revised taxonomy of educational objectives, Shulman's Table of Learning, Boyer's model of scholarship and the UniSCOPE model of scholarship. Beyond conceptual integration, this expanded edition presents three illustrative clinical vignettes of nurse educators at different career stages, a six-domain self-assessment rubric for professional development planning, a detailed discussion of equity, diversity, and inclusion as cross-cutting dimensions of scholarly development, an institutional implementation roadmap, and a forward-looking examination of emerging trends in nursing education scholarship. Practical strategies, assessment tools, professional development resources, and a comprehensive reference list are provided to support nurse educators, academic leaders, and the broader nursing education profession.Pesut, Daniel. (2026). A META-INTEGRATION OF THEORETICAL FRAMEWORKS FOR NURSE EDUCATOR PROFESSIONAL DEVELOPMENT. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278954
My Ongian and Jungian Reflections on Laura Field's Claim about the Misogyny of the MAGA New Right
No full textSee the above abstract.In the wide-ranging and deeply personal 4,028-word review essay "My Ongian and Jungian Reflections on Laura Field's Claim about the Misogyny of the MAGA New Right," I mention (1) my former teacher the American Jesuit scholar Walter J. Ong by name 21 times, (2) the American political scientist Laura field by name 10 times, (3) Donald Trump by name 12 times, and (4) young Lynda Carter by name 12 times as I set forth my Ongian and my Jungian reflections on Dr. Laura Field's claim about the misogyny of the MAGA New Right.N/AFarrell, Thomas. (2026). My Ongian and Jungian Reflections on Laura Field's Claim about the Misogyny of the MAGA New Right. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277789