Events under 'Other Sponsor'

This course will be split over 2 days (4/8/26 and 4/10/26) and is offered via Zoom. Attendance is required as the course will not be recorded.

Research relies on increasingly complex code. However, most academics have not received formal training in software development. This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions as separate scripts and/or packages. Participants will learn to write automated tests for their functions, to help confirm that results are as expected and to ensure that future changes to code do not cause unexpected changes to results.

We will also discuss how to create reproducible “environments” that record package versions in use to help avoid package version incompatibilities and ensure that results can be replicated even months or years after the original analysis.

Modular design is best paired with a version control system. We will discuss how modular design practices integrate with Git and Github, and how to set up “continuous integration” so that automated tests are run each time code is changed.

The course will primarily consist of a hands-on exercise to restructure a single long analysis file into functions and automated tests.

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Conversations that take place online – from learning management systems to Signal chats to Discord groups to Reddit support groups and Instagram influencing – can be valuable forms of evidence for qualitative researchers.

In this workshop, participants will create their own research designs to investigate a phenomenon of interest, as evidenced through social media data, in a systematic and rigorous way. The Paulus and Wise research design decision framework will scaffold learners in how to identify an object of interest; articulate their philosophical and theoretical assumptions about how language functions online; create focused and relevant research questions; ensure methodological alignment across aspects of the study design; resolve ethical dilemmas around treating social media as data; extract and transform social media into a coherent dataset; select appropriate technologies for managing and analyzing data; perform a systematic narrative, discourse and/or thematic analysis; and establish the quality of the findings.

Course material will be drawn from Looking for Learning, Insight and Transformation in Online Talk (Paulus & Wise, Routledge, 2019).

Register

This course will be split over 2 days (4/8/26 and 4/10/26) and is offered via Zoom. Attendance is required as the course will not be recorded.

Research relies on increasingly complex code. However, most academics have not received formal training in software development. This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions as separate scripts and/or packages. Participants will learn to write automated tests for their functions, to help confirm that results are as expected and to ensure that future changes to code do not cause unexpected changes to results.

We will also discuss how to create reproducible “environments” that record package versions in use to help avoid package version incompatibilities and ensure that results can be replicated even months or years after the original analysis.

Modular design is best paired with a version control system. We will discuss how modular design practices integrate with Git and Github, and how to set up “continuous integration” so that automated tests are run each time code is changed.

The course will primarily consist of a hands-on exercise to restructure a single long analysis file into functions and automated tests.

Register

Wake Forest Clinical and Translational Science Institute's CTSI Day

The Wake Forest Clinical and Translational Science Institute's CTSI Day is an annual day-long event that brings together researchers, trainees, and partners for workshops, presentations, and collaboration. The day concludes with the Scholar Showcase poster session—a lively and engaging event highlighting a variety of clinical and translational research projects and fostering cross-institutional connections through feedback, discussion, and networking.

Location:
Biotech Place, Atrium and Auditorium
575 Patterson Ave, Winston-Salem, NC 27101

Learn more, view the agenda, and register at ctsi.wakehealth.edu

REGISTER

In this advanced topics course, several common use cases for automations using Qualtrics Workflows will be presented.

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PCORnet and STAR Clinical Research Network Roadshow Workshop

This hybrid event is designed for investigators and industry partners who are new to PCORnet and STAR Clinical Research operations. Attendees will gain a clear understanding of PCORnet and the STAR CRN's capabilities, explore meaningful insights, and discover opportunities to spark new collaborations in medical research.

Agenda

Working With STAR CRN & PCORnet

• Overview & Leveraging the PCORnet® Front Door
• Proposal Development Q&A
• Partner Engagement

Breakout Sessions

• Observational Research Design
• Clinical Trials & Cohort Studies Design

Interactive Networking & Collaboration Opportunites

Date/Location

April 16, 2026
12 - 4 p.m. (lunch included)
Erwin Square Plaza, 2200 W. Main St., Wing B Training Room 252, Durham, NC 27705

Join virtually or in person!

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Cosmos Spark: Discovering Tools, Community, and the Future of Research

Join UNC Health for a Cosmos informational session. Epic Cosmos is a tool researchers can use to do analytics and research across many sites.

The session will highlight Cosmos's capabilities, outline governance and access pathways, feature a current Cosmos user who will demonstrate how the platform supports real‑world research, and conclude with a Q&A to support next steps.

This event is open to all UNC Health and UNC employees.

What is Epic Cosmos?
Read more about it here: Epic Cosmos

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Gettin’ daggity with it: Using DAGs as Tools for Variable Selection

Ever pondered whether to include a variable in an analysis – is the variable necessary, will its inclusion/exclusion introduce bias in the analysis? Why is the variable important anyways – is it a mediator, a moderator, a confounder, or some combination of these?

This course introduces how to incorporate DAGs (Directed Acyclic Graphs) in analysis planning to help think through what variables to collect and use (or refrain from using) in an analysis.

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“Human-in-the-Loop” Thematic Analysis: Using R to Apply Current Recommendations for Incorporating LLMs into Qualitative Research

Do you want to explore current research recommendations in the literature on incorporating LLMs into qualitative/mixed methods data analysis, or are you interested in implementing LLMs into your qualitative/mixed methods workflow? If so, this short course is designed for you!

In this course we will examine current recommendations from the literature regarding integrating AI (specifically LLMs) into the process of qualitative coding. Acknowledging that a wide range of qualitative approaches exist, all examples and recommendations in this course will be based on the 6 Phase Thematic Analysis Framework proposed by Braun & Clarke 2006 to simplify the course scope.

No perquisites in qualitative methods or coding are required for this course – just bring your computer & your curiosity!

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Overview of 2026 NIH Requirements: Biosketch and Current and Pending (Other) Support

This session provides an overview of some of the upcoming changes to the National Institutes of Health (NIH) grant application requirements, including new Common Forms that will be required for due dates on or after January 25, 2026.

In particular, this presentation will focus on the Biosketch and Current and Pending (Other) Support forms, which will need to be completed using the SciENcv tool. It will include demonstrations of SciENcv as well as ORCID iD creation and linking steps. The presentation aims to prepare researchers for the new NIH requirements by providing detailed instructions and resources to ensure compliance.

This program is offered via Zoom by the Health Sciences Library and led by Katherine Howell, MSLIS.

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“Human-in-the-Loop” Thematic Analysis: Using R to Apply Current Recommendations for Incorporating LLMs into Qualitative Research

Do you want to explore current research recommendations in the literature on incorporating LLMs into qualitative/mixed methods data analysis, or are you interested in implementing LLMs into your qualitative/mixed methods workflow? If so, this short course is designed for you!

In this course we will examine current recommendations from the literature regarding integrating AI (specifically LLMs) into the process of qualitative coding. Acknowledging that a wide range of qualitative approaches exist, all examples and recommendations in this course will be based on the 6 Phase Thematic Analysis Framework proposed by Braun & Clarke 2006 to simplify the course scope.

No perquisites in qualitative methods or coding are required for this course – just bring your computer & your curiosity!

Register

The New NIH Public Access Policy: What You Need to Know

The 2024 NIH Public Access Policy includes several significant changes from the previous policy, and applies to all NIH-funded manuscripts accepted for publication on or after July 1, 2025. Learn more about what has changed, how to comply, and what to expect going forward.

This program is offered via Zoom by the Health Sciences Library and the Scholarly Communications Office, and led by Collin Drummond and Katherine Howell.

Register

Accelerate your ideas through customer discovery and market opportunity validation!

KickStart Venture Services is recruiting community startups as well as faculty, post-doctoral fellows, graduate students, and undergraduate students with innovations and an interest in commercialization to participate in their virtual NSF I-Corps program. They will teach you the principles of customer discovery to help you better understand the market potential of your innovation!

The National Science Foundation’s Innovation Corps Program (I-Corps) was launched in 2011 and has quickly become one of the world’s largest and most successful technology commercialization accelerators. The I-Corps regional program helps researchers and aspiring innovators determine if they are solving a real-world problem with true market opportunity. NSF’s I-Corps Program not only provides funding, mentoring, and networking opportunities to help commercialize promising technologies, it is offered at NO COST to the community.

Register

For more information about the I-Corps Program, visit KickStart Venture Services.

Accelerate your ideas through customer discovery and market opportunity validation!

KickStart Venture Services is recruiting community startups as well as faculty, post-doctoral fellows, graduate students, and undergraduate students with innovations and an interest in commercialization to participate in their virtual NSF I-Corps program. They will teach you the principles of customer discovery to help you better understand the market potential of your innovation!

The National Science Foundation’s Innovation Corps Program (I-Corps) was launched in 2011 and has quickly become one of the world’s largest and most successful technology commercialization accelerators. The I-Corps regional program helps researchers and aspiring innovators determine if they are solving a real-world problem with true market opportunity. NSF’s I-Corps Program not only provides funding, mentoring, and networking opportunities to help commercialize promising technologies, it is offered at NO COST to the community.

Register

For more information about the I-Corps Program, visit KickStart Venture Services.