Social and Behavioral Sciences Commons^™

Elevating The Underrepresented And Marginalized Using Experiences In Stem (Lumens): A Stem Diversity And Inclusion Initiative, Robert Cobb Jr, Paula E. Faulkner, Deiadra Modlin, Obinna Chiekezi, Victoria Cobbold, Madison Beaudoin

Journal of Research Initiatives

The study offered a 5-week summer immersion program to address the shortage of students from underrepresented populations enrolling in degree programs and seeking careers in science, technology, engineering, and mathematics (STEM). The study also addressed the importance of offering summer immersion programs to close the achievement gap. A quantitative descriptive design was used to gather data from participants related to STEM lessons during the program. Gender, grade level, and race served as the demographic variables. The study included 21 secondary students in grades 9–12. Pre- and post-tests assessed participants' knowledge gain regarding STEM lessons. Data analyzed with SPSS version 29 …

Tennessee Archivist 45, No. 2, Society Of Tennessee Archivists

Tennessee Archivist newsletters

Spring 2026 issue of the Tennessee Archivist, a newsletter produced by the Society of Tennessee Archivists.

Bridging The Distance: Expanding Access To Mental Health Services In School, Griffin Gallagher, Arayah St John, Kaylie Svir

Master of Social Work Student Policy Advocacy Briefs

All students should have equitable access to mental health services in schools. In Minnesota, there has been an 11% increase in students experiencing long-term mental health challenges since 2016, and only 1 in 5 students receive the assistance they need. Students are experiencing a lack of access to mental health services in schools due to barriers of cost, transportation, shortage of support staff, and stigma. When mental health services are not provided in schools, this results in a decrease in school attendance, higher dropout rates, and negative school environments, affecting the long-term outcomes and needs of the child. Mental health …

Housing After Recovery: Expanding Access For Justice-Involved Individuals, Calvin Parzych, Melinda Gillen, Juliet Worayewaa, Mikayla Witter

Master of Social Work Student Policy Advocacy Briefs

Every human being deserves access to safe, stable housing, especially individuals in recovery from substance use disorders. These individuals face significant barriers to stable housing, especially when their criminal records are considered by landlords. This can pose a risk to potential relapse, homelessness, and overall struggle to maintain recovery. Addressing housing discrimination for all members of society, especially justice-involved individuals, can aid in resolving public health and social justice issues that continue to be a long-standing problem.

Hss 216 Introduction To Motivational Interviewing, Juline A. Koken

Open Educational Resources

This syllabus contains links to an OER textbook that was adopted for our Introduction to Motivational Interviewing course, along with additional links to OER videos and additional readings.

Hss 295, Juline A. Koken

Open Educational Resources

This syllabus contains links to existing OER materials as well as additonal readings for our HSS 295 Community Organizing class.

Towards Socially Legitimized Trust In Ai-Learning Systems, Sanket Patole, Rob E. Carpenter, Reed M. Milewicz, Rose M. Baker, John R. Turner

Human Resource Development Faculty Publications and Presentations

AI-enabled learning technologies are rapidly becoming institutional infrastructure. In this context, “trust” cannot be treated as a simple user attitude or a byproduct of technical performance. We argue that durable trust in AI-enabled learning systems is fundamentally a legitimacy outcome: stakeholders must judge AI-mediated practices as appropriate, credible, and defensible within the normative and governance structures of learning environments. Building on socio-technical systems scholarship and institutional legitimacy theory, we introduce Socially Legitimized Trust (SLT), a framework that helps us understand adoption stability and contestation through alignment among three foundations: technocratic validation (credible evidence of capability, limits, and reliability), social validation …

Jetstream Spring 2026, Nancy Anzalone, Susan Bloom, Courtney Dalfonso, Nikki Palumbo

JETstream: Library Newsletter

This edition of JETstream highlights the "Beat the Blahs" potluck, new Learning Services for writing, tutoring and a collaboration with North Shore High School, a Library user survey for Graduate and Doctoral students, new librarian profiles, and adjustments to two study locations in Public Square and the third floor of the JET Library. Also noted are upcoming events and services.

Delegation And Verification Under Ai, Lingxiao Huang, Wenyang Xiao, Nisheeth K. Vishnoi

Cowles Foundation Discussion Papers

As AI systems enter institutional workflows, workers must decide whether to delegate task execution to AI and how much effort to invest in verifying AI outputs, while institutions evaluate workers using outcome-based standards that may misalign with workers’ private costs. We model delegation and verification as the solution to a rational worker’s optimization problem, and define worker quality by evaluating an institution-centered utility (distinct from the worker’s objective) at the resulting optimal action. We formally characterize optimal worker workflows and show that AI induces phase transitions, where arbitrarily small differences in verification ability lead to sharply different behaviors. As a …

On Local Overidentification And Efficiency Gains In Modern Causal Inference And Data Combination, Xiaohong Chen, Haitian Xie

Cowles Foundation Discussion Papers

This paper studies nonparametric local (over-)identification and the semiparametric efficiency in modern causal frameworks. We develop a unified approach that begins by translating structural models with latent variables into their induced statistical models of observables and then analyzes local overidentification through conditional moment restrictions. We apply this approach to three popular classes of causal models: (1) the general treatment model under unconfoundedness; (2) the negative control model, and (3) the long-term causal inference model under unobserved confounding. The first model yields a locally just-identified statistical model, implying that all regular asymptotically linear estimators of the treatment effect have the same …

Triple/Double-Debiased Lasso, Denis Chetverikov, Joseph R.V. Sørensen, Aleh Tsyvinski

Cowles Foundation Discussion Papers

In this paper, we propose a triple (or double-debiased) Lasso estimator for inference on a low-dimensional parameter in high-dimensional linear regression models. The estimator is based on a moment function that satisfies not only first- but also second-order Neyman orthogonality conditions, thereby eliminating both the leading bias and the second-order bias induced by regularization. We derive an asymptotic linear representation for the proposed estimator and show that its remainder terms are never larger and are often smaller in order than those in the corresponding asymptotic linear representation for the standard double Lasso estimator. Because of this improvement, the triple Lasso …

First Proof Solutions And Comments, Mohammed Abouzaid, Andrew J. Blumberg, Martin Hairer, Joe Kileel, Tamara G. Kolda, Paul D. Nelson, Daniel Spielman, Nikhil Srivastava, Rachel Ward, Shmuel Weinberger, Lauren Williams

Cowles Foundation Discussion Papers

Here we provide our solutions to the First Proof questions. We also discuss the best responses from publicly available AI systems that we were able to obtain in our experiments prior to the release of the problems on February 5, 2025. We hope this discussion will help readers with the relevant domain expertise to assess such responses.

Stochastic Optimization And Coupling, Frank Yang, Kai Hao Yang

Cowles Foundation Discussion Papers

We study optimization problems in which a linear functional is maximized over probability measures that are dominated by a given measure according to an integral stochastic order in an arbitrary dimension. We show that the following four properties are equivalent for any such order: (i) the test function cone is closed under pointwise minimum, (ii) the value function is affine, (iii) the solution correspondence has a convex graph with decomposable extreme points, and (iv) every ordered pair of measures admits an order-preserving coupling. As corollaries, we derive the extreme and exposed point properties involving integral stochastic orders such as multidimensional …

College Of Natural Sciences 2025 Year-End Publication, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Page 2 Dean's Message 
Page 3 Department Highlights 
Page 4 One Day for State 
Page 5 Ice cores reveal volcanic eruptions in 13th century 
Page 5 How do our cells interpret stress 
Page 6-7 Faculty Excellence
Page 8 New chemical biology consortium will accelerate cancer research
Page 9 SDSU to combat crop disease, biofilms in new NSF-back project 
Page 9 Science as Art Competition 
Page 10-11 Student Excellence  
Page 12 SDSU researcher developing natural alternative to synthetic dyes
Page 12 Browning Retired
Page 13 Quantum technologies through NSF-backed project
Page 13 NASA Funds CNS Development of Model
Page 14 GGS …

Wounded Collective Identity In Europe: Trauma, Religiosity, Modernization, And Visions Of The Future Based On Empirical Studies Of Thirty-Eight European Countries, Emese Berzsenyi

Occasional Papers on Religion in Eastern Europe

The study presents a joint research project by five authors: László Tamás, András Máté-Tóth, Miklós Gyorgyovich, Bernadett Balassa, and Dávid Kollár. It offers the first international comparative empirical application of the theory of Wounded Collective Identity (WCI), developed by the second author, Professor András Máté-Tóth, based on data from thirty-eight European countries. The theoretical framework of the study is grounded in Máté-Tóth’s theory of wounded identity, which conceptualizes the geo-cultural and geopolitical in-between position of the Central and Eastern European region as a decisive factor shaping collective self-interpretation.

照顧者指南2026, Chak Kwan, Dickson Chan, Ka Chung, Tom Kwong, Chi Kuen Wong, Meng Soi, Florence Fong

Manual & Guide 手冊及指引

香港的社會服務種類繁多，服務之內容及申請資格頗複雜，令到部分長者及照顧者無從入手，得不到及時服務。因此，這本指南希望以簡易的方式，為照顧者及家人介紹幫助他們解決日常照顧以及院舍的服務。特別是協助照顧者了解及申請政府的安老服務 (如「安老服務統一評估機制」)，釐清「社區照顧」與「院舍照顧」的服務內容、輪候時間及收費，幫助他們揀選最合適的照顧安排。此指南亦提供其它照顧資訊，如金錢援助、情緒支援、交通、器材租借、家居改裝及培訓，以支援長者由醫院過渡至社區。

Community Engagement Newsletter, March 2026, University Of Northern Iowa. Office Of Community Engagement.

Community Engagement Newsletter

Contents:

UNI's Day of Service - April 8, 2026
Service-Learning and Engaged Department Institutes
Inspire Conference
Certified Nonprofit Professional Credential
UNI Engaged Podcast

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission In A Two-Group Structural Heterogeneous Syringe-Sharing Network (M2), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model extended a baseline homogeneous model by incorporating structural heterogeneity via a two-group interaction framework. The syringe-sharing population in the model is divided into inner and outer circle groups representing individuals with differing levels of syringe-sharing interaction intensity. While all agents share the same syringe-sharing probability and epidemiological processes remain identical across agents, the number of daily interaction opportunities differs between the two groups. Interactions in the model are generated dynamically using proximity-based sampling at each timestep …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission In A Three-Group Structural Heterogeneous Syringe-Sharing Network (M3), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. While the syringe-sharing rate and all epidemiological processes remain identical across agents, the number of daily interaction opportunities differs by agent grouping, capturing variation in structural position within the syringe-sharing network. Interactions are generated dynamically using proximity-based sampling at each …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission With Inter-Group Structural And Behavioural Heterogeneous Syringe-Sharing Networks (M4), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework and behavioural heterogeneity through group-specific syringe-sharing rates. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. In addition to differences in the number of daily interaction opportunities across groups, agents in each group are assigned distinct syringe-sharing probabilities, reflecting variation in risk-taking behaviour across structural groups within the syringe-sharing …

The Elder Economic Security Standard™ Index: Methodology Overview, Center For Social And Demographic Research On Aging, University Of Massachusetts Boston, Jan Mutchler, Nidya Velasco Roldan, Michelle Ward, Ceara Somerville, Caitlin E. Coyle

Center for Social and Demographic Research on Aging Publications

The Elder Index illustrates how living costs vary geographically (specifically, by county, metropolitan area, and state), and based on the characteristics of households. Costs are calculated based on household size (one person age 65 or older, two persons age 65 or older), housing tenure (owner with no mortgage, renter, owner with a mortgage), and health status (excellent, good, poor). The expenses included in the Elder Index cover basic needs of older households, including shelter, medical care, food, and transportation; the costs reflect average market costs and do not take into account any needs-based subsidies. The Elder Index helps answer important …

2025 Elder Indextm For Boston: Fact Sheet, Center For Social And Demographic Research On Aging, University Of Massachusetts Boston

Center for Social and Demographic Research on Aging Publications

The Elder Index^_TM measures of the cost of living independently for older adults aged 65 or older. The Elder Index allows us to identify older people with incomes “in the gap” between the Federal Poverty Guideline (FPL) and what it takes to live with security. Older adults living “in the gap” have incomes too high to qualify for many means-tested public benefits programs, yet too low to achieve intermediate- or long-term economic stability. This fact sheet presents 2025 Elder Index for older adults living in Boston, Massachusetts.

Living Between The Lines: Economic Insecurity And Older Americans: Insecurity In The Massachusetts, 2025, Caitlin E. Coyle, Michelle Ward, Nidya Velasco Roldan, Ceara Somerville, Jan Mutchler

Center for Social and Demographic Research on Aging Publications

New estimates from the 2025 Elder Index^TM demonstrate that the cost of living in Massachusetts has increased substantially in recent years for older adults, especially for renters. The Elder Index measures the necessary costs faced by households made up of one or two older adults, calculated county by county for the entire United States. Estimated costs are higher in Massachusetts than in any other state in the nation. Within the Commonwealth, the Elder Index is lowest in Western Massachusetts, and highest in Metro Boston, Martha’s Vineyard and Nantucket, with differences in the Elder Index across locations accounted for largely …

[Whm] Women's History Month - Government Resources, Raquel Estrada

Library Display Posters

Poster highlighting U.S. government resources for Women’s History Month, offering statistics, exhibits, research guides, educational materials, and primary sources from agencies such as the U.S. Census Bureau, Library of Congress, National Archives, National Park Service, Smithsonian Institution, NASA, and U.S. Courts.

[Whm] Women's History Month 2026, Raquel Estrada

Library Display Posters

Poster showcasing films and books pertaining to women's history month. As well as a curated list of articles and dissertations/theses found in our institutional repository.

Digital Print Ordering System For Ugs, Han Nguyen

Graphic Communication

This project redesigns the UGS digital storefront to make ordering custom prints clearer and less confusing for students. Research showed that many delays happen because users submit incorrect files, such as wrong formats, low-resolution images, or missing fonts. To address this, I created an interactive prototype that guides users step-by-step through the ordering process and includes a built-in file checklist with simple export instructions. Instead of relying on a separate PDF guide, the new system supports users directly within the workflow, helping reduce errors and making the process smoother for both customers and UGS staffs.

City Of La Voters' Preferences In Mayoral Race - March 2026 La Voter Poll, Thomas And Dorothy Leavey Center For The Study Of Los Angeles

StudyLA Data Briefs

ABOUT THIS STUDY

The (March 2026) LA Voter Poll conducted by StudyLA involved a 20 minute online survey of 958 registered voters in LA County. The survey was conducted in English and Spanish between February 11th and March 16th, 2026 and respondents were asked a range of questions concerning Los Angeles and governance reform.

ABOUT THIS REPORT

Survey results are presented in two sections: (1) toplines, or total responses for each question and (2) crosstabs, or all questions crossed by major demographics. The following report presents data pertaining to all substantive questions. This survey was made possible through a generous …

Globalization And Structural Transformation: The Role Of Tradable Services, Sang Min Lee

Faculty Publications

This paper studies how globalization impacts structural transformation from goods to services. I construct a multi-country, multi-sector model in which the transformation occurs through changes in income, prices, comparative advantage, or input-output linkages. I parameterize it with data from 1995 to 2018 for 66 countries covering diverse stages of economic development. Decomposition exercises show that globalization outweighs productivity growth in shaping structural transformation and that globalization’s impact primarily operates through comparative advantage. Counterfactual exercises reveal globalization’s heterogeneous impact on countries’ structural transformation. I characterize the underlying factor behind this result: Globalization affected countries’ transformation to the extent that it altered …

The Illusion Of Causality In Llms: A Developmentally Grounded Analysis Of Semantic Scaffolding And Benchmark–Capability Mismatches, Daisuke Akiba

Publications and Research

Recent benchmarks increasingly report that large language models (LLMs) exhibit human-like causal reasoning abilities, including counterfactual inference and intervention planning. However, many such evaluations rely on domains that are heavily represented in training data and embed strong semantic cues, raising the possibility that apparent causal competence may reflect semantic pattern recombination rather than structure-sensitive causal reasoning. Drawing on human developmental theories of causal induction, this perspective argues that genuine causal understanding requires robustness to novelty and reliance on conditional structure rather than semantic familiarity. To illustrate the testability of this claim, the paper includes a pilot demonstration using synthetic causal …

High-Frequency Functional Trajectories Predict Depressive Worsening In Singapore's Community-Dwelling Older Adults, Kaung Htet Tun Salai, Yi Wen Tan, Grace Cheong, Paulin T. Straughan

ROSA Journal Articles and Publications

Background/Objectives: Functional difficulty and depression often coexist in older adults, yet local Singapore-based research often lacks detailed temporal resolution due to heterogeneity in ageing. This study employs non-parametric, data-driven longitudinal clustering to analyse functional trajectories and their association with depression, using high-frequency data to pinpoint key intervention periods. Methods: Data were drawn from 4273 community-dwelling older adults from Singapore Life Panel^® (2020–2024). Participants completed quarterly self-reported assessments of ADL, IADL and depressive symptoms (8-item CES-D). We employed k-means longitudinal clustering (kml) to identify functional trajectory groups and Cox regression to evaluate the hazard of increased depression (≥5-point increase in …