This online training session will provide an introduction to qualitative research methods. Participants will have the opportunity to ask questions and share experiences conducting qualitative research.

Topics:

• Differences between quantitative and qualitative research
• Qualitative research methodologies
• Strategies for qualitative data collection
• Methods of qualitative data analysis

Presenters:
MaryBeth Grewe, MPH
Program Manager, Qualitative and Engaged Research
NC TraCS Institute

Simone Frank, MPH
Project Manager, Community Engagement in Research
NC TraCS Institute

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Engagement in Research Nuts & Bolts: Specific Approaches for Engaging Patient & Community Partners in Research

There is no "one-size-fits-all" approach to engaging patient, community, or other partners in your research. Rather, there are a variety of engagement methods to suit your study's needs, your research team's capacity, and your partners' interests.

This online training will describe three common approaches for working with patient, community, and other partners in your research: 1) consultative community feedback sessions; 2) advisory boards; and 3) sustained collaboration with partners as members of the research team.

The session will cover considerations for choosing these specific engagement methods, as well as concrete processes and steps for implementing each approach. Participation in our Engagement in Research 101 training is not required to attend this session; however, some knowledge of engagement, whether from prior training(s) or personal experience, may foster deeper understanding of the material in this session.

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Engaging Patient, Community, and Other Partners in Your Research is a multi-part online training series. You may register for the entire series OR any single training session.

Part 1 will focus on the basics of research engagement, providing an overview of patient and community engagement and its benefits, debunking common myths and misconceptions, and providing considerations and next steps for incorporating engagement approaches into your research.

Part 2 will cover specific engagement methods, including consultative community feedback sessions, advisory boards, and working with patient and community partners as members of a research team.

Part 3 will focus on the nuances of building and maintaining partnerships, outlining best practices for developing and strengthening mutually beneficial partnerships and discussing common partnership challenges and solutions.

This training series was developed collaboratively with patient, community, and researcher partners and is co-sponsored by the UNC Lineberger Comprehensive Cancer Center and NC TraCS Institute.

Systematic Reviews and Meta-Analyses Panel Discussion

Please join the Department of Health Sciences Office of Research & Scholarship for their March research forum. Panelists will share their experiences using applicable research examples (e.g., search and screenings, data extraction and quality assessment, library resources).

The hybrid forum will take place in person (MacNider 321, LUNCH provided) and via Zoom. Please register to attend.

Questions? Contact the Department of Health Sciences Office of Research & Scholarship at This email address is being protected from spambots. You need JavaScript enabled to view it..

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Digital Delivery of Osteoarthritis Lifestyle Care

Join the UNC School of Medicine Thurston Arthritis Research Center for a UNC Core Center for Clinical Research (CCCR) Speaker Series seminar featuring Kim Bennell, FAHMS. Bennell is the Chair of Physiotherapy, Melbourne Laureate Professor, and Redmond Barry Distinguished Professor in the Department of Physiotherapy at the Melbourne School of Health Sciences.

Core recommended lifestyle treatments are under-utilized in the management of knee osteoarthritis. There are many barriers to the adoption and effectiveness of lifestyle care include inadequate patient knowledge, time constraints, cost, limited allied health access, and poor adherence with lack of support for behavior change. This presentation will present research into the way digital technologies can be used to overcome some of these barriers and improve outcomes for people with knee osteoarthritis.

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UNC NRP March 2024 Education Session: Reliance Metrics, Processes and Initiatives

Please join the UNC Network for Research Professionals as Kristen Katopol, Associate Director, Regulatory Affairs and Compliance, and Ariana Peden, Compliance Manager, from the UNC Office of Human Research Ethics present on reliance metrics, processes, and initiatives.

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Introduction to Individual and Aggregate Data Network Models for Understanding Within-Person Processes

With increased interest in person-centered interventions and treatments has come increased interest in understanding human processes as they unfold within individuals. Additionally, technological advances have made the collection of person-specific data easier and more cost-effective for researchers interested in studying human behavior within everyday contexts. This two-day course focuses on using two popular network models to explore research questions concerning within-person processes.

This course is intended for individuals with research questions that can be answered using multivariate time series data/intensive longitudinal data. Examples of such data include daily diary data; data collected via self-report through ecological momentary sampling (ESM); passive data from cell phones; and other psychophysiological data such as MRI data or heart rate data.

The two network modeling frameworks presented in this course are graphicalVAR (GVAR) and Group Iterative Multiple Model Estimation (GIMME). Both models can be used to explore processes as they unfold within individuals to obtain individual person-specific network models (idiographic analysis) or group/population level network models (nomothetic analysis). Differences between the modeling frameworks will be presented. Challenges and considerations for choosing between methods will be discussed.

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Ethical Aspects of AI in Biomedical Research: The NIH Bridge to AI Initiative

Featuring:
Vardit Ravitsky, PhD
President and CEO, The Hastings Center
Senior Lecturer on Global Health and Social Medicine, Harvard Medical School
Professor, University of Montréal

In this year's Merrimon Lecture, Vardit Ravitsky, PhD, will discuss the ethical aspects of AI in biomedical research and the NIH Bridge to AI Initiative. Ravitsky runs an active research program and holds several positions on advisory boards. Her research in bioethics focuses on ethical, legal, and social implications of genomics and assisted reproductive technologies, with an emphasis on emerging biotechnologies and their implications for women's autonomy and for disability rights. She also studies the ethics of AI in biomedicine.

Location: 321 MacNider or via Zoom.

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Join Zoom

Introduction to Individual and Aggregate Data Network Models for Understanding Within-Person Processes

With increased interest in person-centered interventions and treatments has come increased interest in understanding human processes as they unfold within individuals. Additionally, technological advances have made the collection of person-specific data easier and more cost-effective for researchers interested in studying human behavior within everyday contexts. This two-day course focuses on using two popular network models to explore research questions concerning within-person processes.

This course is intended for individuals with research questions that can be answered using multivariate time series data/intensive longitudinal data. Examples of such data include daily diary data; data collected via self-report through ecological momentary sampling (ESM); passive data from cell phones; and other psychophysiological data such as MRI data or heart rate data.

The two network modeling frameworks presented in this course are graphicalVAR (GVAR) and Group Iterative Multiple Model Estimation (GIMME). Both models can be used to explore processes as they unfold within individuals to obtain individual person-specific network models (idiographic analysis) or group/population level network models (nomothetic analysis). Differences between the modeling frameworks will be presented. Challenges and considerations for choosing between methods will be discussed.

Register

Early Diagnosis and Assessment of Autism Via Objective Measurements of Social Visual Engagement

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Warren Jones, PhD
Director of Research, Marcus Autism Center
Children’s Healthcare of Atlanta
Norman Nien Distinguished Chair in Autism
Associate Professor, Dept. of Pediatrics
Emory University School of Medicine

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