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  • Major Depressive Episode among Adolescents: A National Study Examining the Impact of Parenting Behaviors

    Article thumbnail: Major Depressive Episode among Adolescents: A National Study Examining the Impact of Parenting Behaviors
    Type:
    Article
    Description/Abstract:
    Major depressive episode (MDE) among adolescents is a significant public health issue. Approximately, 4.5 million adolescents have experienced an MDE in the past year. This study examined whether MDEs among adolescents differed based on specific parenting behaviors. A national sample of adolescents ages 12 to 17 years (n = 11,572) completed the 2023 National Survey of Drug use and Health. Univariate and multivariable logistic regression analyses were conducted to determine whether lifetime and past year MDE differed based on parenting behaviors. Results indicated that adolescents at highest risk for both lifetime and past-year MDE were female, older (14-15 or 16-17-years-old), and white. Regarding parenting behaviors, adolescents at highest risk for lifetime and past-year MDE were those who had parents never/seldom check their homework, never/seldom help with their homework, never/seldom limit the amount of TV, never/seldom tell them they did a good job, never/seldom tell them they were proud of them, and who argued/fought with them ten or more times in the past year. These findings show the intricate relationship between adolescent MDE and parenting behaviors. Public health educators should encourage parents to engage in authoritative parenting behaviors (defined as high levels of parental support, warmth, and clear expectations) to help prevent MDE among adolescents. Findings should be used to assist program developers in incorporating parenting components in MDE prevention and treatment efforts.
    Creator/Author:
    Mahabub, Md Saif; Vidourek, Rebecca A.; Merianos, Ashley L., and King, Keith A.
    Submitter:
    Md Saif Mahabub
    Date Uploaded:
    08/06/2026
    Date Modified:
    08/06/2026
    Date Created:
    2025-10
    License:
    Attribution-NonCommercial 4.0 International

  • Occupational Injustice: Mental Stress and Chronic Pain in Gig Laborers

    Image thumbnail: Occupational Injustice: Mental Stress and Chronic Pain in Gig Laborers
    Type:
    Image
    Description/Abstract:
    This research analyzes the "syndemic" of mental stress and physical pain among 299 unregulated laborers in Dhaka, Bangladesh. Results reveal that psychological distress increased the risk of physical injury by 28-fold, highlighting a critical link between economic instability and worker health. These findings offer urgent parallels to the U.S. "gig economy," where delivery and warehouse workers face similar occupational injustices without safety nets. The presentation moves beyond ergonomics to propose a Social Justice Framework, challenging attendees to advocate for ethical supply chains and for mental health protections for vulnerable workers, both globally and locally.
    Creator/Author:
    Mahabub, Md Saif
    Submitter:
    Md Saif Mahabub
    Date Uploaded:
    08/02/2026
    Date Modified:
    08/02/2026
    Date Created:
    2026-02-20
    License:
    Attribution 4.0 International

  • Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables

    Article thumbnail: Targeted After Generative (TAG) Learning for Causal Inference with Latent Variables
    Type:
    Article
    Description/Abstract:
    Latent variables and causal inference are central to implementing empirical research and advancing substantive theory across the social sciences. Conventional latent variable frameworks such as structural equation modeling (SEM) are constrained by several simplifying assumptions (e.g., linearity, additivity, correct model specification). In this study, we relax key SEM assumptions by building data adaptive estimation methods for causal inference with latent variables. We developed a theory-driven Targeted After Generative (TAG) learning framework that integrates SEM-informed variational autoencoders (SEM VAEs) with targeted machine learning to estimate the average treatment effect. On the generative side, the SEM VAE encodes theory aligned neural networks that learn latent variable distributions through flexible joint modeling of measurement and structural parameters. On the targeted learning side, we construct an efficient influence function for the treatment effect with the SEM-VAE implied posterior distribution of the latent variables to estimate the average effect. Across simulations, the TAG learning approach outperforms alternative approaches and demonstrates low to no bias even in adverse conditions. TAG learning offers a theory-driven flexible approach with methodological promise for causally interpretable data-adaptive analysis with latent variables. More practically, the framework allows estimation of causal effects involving latent variables even in the presence of unknown functional relationships in the measurement and structural models (e.g., data adaptive effect estimation for nonlinear/nonadditive SEMs).
    Creator/Author:
    Kelcey, Ben; Ataneka, Amota, and Habarurema, Jean-Baptiste
    Submitter:
    Ben Kelcey
    Date Uploaded:
    06/02/2026
    Date Modified:
    06/03/2026
    Date Created:
    05-20-26
    License:
    Attribution 4.0 International

  • Virtual cybersecurity testbeds for industrial Internet of Things

    Article thumbnail: Virtual cybersecurity testbeds for industrial Internet of Things
    Type:
    Article
    Description/Abstract:
    Modern industrial equipment are networked to interact with both internal and external systems, enabling automated decision-making with minimal or no human intervention. While this new environment creates efficiencies, it exposes the environment to cyber threats. This chapter explores the use of cybersecurity testbeds to study best practices in architecting and defending environments that contain industrial systems. Cybersecurity testbeds – physical, virtual, and hybrid – are used in different sectors for research and validation. Virtual testbeds hold promise as they enable design flexibility, reconfiguration, and scale to support various types of research studies. This chapter discusses the value of virtual cybersecurity testbeds and demonstrates a case study on the use of virtual testbeds using a simple industrial control system and a common attack. The concepts apply to more complex set ups and more complex attack structures. Virtual cybersecurity testbed can support researchers, practitioners, and educators interested in defending critical infrastructure environments and industrial systems.
    Creator/Author:
    Mandalapu, Rohit
    Submitter:
    Rohit Mandalapu
    Date Uploaded:
    05/19/2026
    Date Modified:
    05/19/2026
    License:
    Open Data Commons Open Database License (ODbL)

  • NORDP 2026 Poster: Increasing Capacity in the Social Science Research Enterprise

    Image thumbnail: NORDP 2026 Poster: Increasing Capacity in the Social Science Research Enterprise
    Type:
    Image
    Description/Abstract:
    This poster disseminated a National Science Foundation-funded study that examined the challenges faced by research enterprise professionals in supporting social science research funding, with particular attention to Historically Black Colleges and Universities (HBCUs) and Primarily Undergraduate Institutions. (PUIs). Using focus groups and a national survey, participants identified barriers and promising solutions. Findings highlight the dedication of professionals in this field and the potential for innovative strategies to strengthen and expand social science research across institutions.
    Creator/Author:
    Kennedy, Erica; DenBleyker, Emma, and Green-Schwartz, Clair
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    05/11/2026
    Date Modified:
    05/11/2026
    Date Created:
    2026
    License:
    Public Domain Mark 1.0

  • Helpful Online Resources + Websites

    Document thumbnail: Helpful Online Resources + Websites
    Type:
    Document
    Description/Abstract:
    Additional free resources for personnel working in the research enterprise.
    Creator/Author:
    Green-Schwartz, Clair
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    12/22/2025
    Date Modified:
    05/11/2026
    License:
    Public Domain Mark 1.0

  • National Science Foundation Graduate Student and Postdoctoral Mentoring Plan Template

    Document thumbnail: National Science Foundation Graduate Student and Postdoctoral Mentoring Plan Template
    Type:
    Document
    Description/Abstract:
    This document is a template for creating the National Science Foundation's Graduate Student and Postdoctoral Mentoring Plan. Not all NSF grant proposals require this document. Be sure to check grant-specific requirements or instructions for more details.
    Creator/Author:
    Green-Schwartz, Clair and DenBleyker, Emma
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    12/22/2025
    Date Modified:
    12/22/2025
    License:
    Public Domain Mark 1.0

  • Timeline Example 2

    Document thumbnail: Timeline Example 2
    Type:
    Document
    Description/Abstract:
    This document is a template for creating professional grant proposal timelines. The template can be adopted for a variety of funders. Be sure to check grant-specific requirements or instructions for more details.
    Creator/Author:
    Green-Schwartz, Clair
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    12/22/2025
    Date Modified:
    12/22/2025
    License:
    Public Domain Mark 1.0

  • Timeline Example 1

    Document thumbnail: Timeline Example 1
    Type:
    Document
    Description/Abstract:
    This document is a template for creating professional grant proposal timelines. The template can be adopted for a variety of funders. Be sure to check grant-specific requirements or instructions for more details.
    Creator/Author:
    Green-Schwartz, Clair and Foster, Daniel J.
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    12/22/2025
    Date Modified:
    12/22/2025
    License:
    Public Domain Mark 1.0

  • One-Pager Template

    Document thumbnail: One-Pager Template
    Type:
    Document
    Description/Abstract:
    This document is a template for creating one or two page project summaries. The template can be adopted for a variety of disciplines. Be sure to check grant- or funder-specific requirements or instructions for more details.
    Creator/Author:
    Green-Schwartz, Clair and DenBleyker, Emma
    Submitter:
    Clair Green-Schwartz
    Date Uploaded:
    12/22/2025
    Date Modified:
    12/22/2025
    License:
    Public Domain Mark 1.0