This course is being offered in collaboration between the Odum Institute and the Center for Urban & Regional Studies.

This one-day course will be offered via Zoom. Attendance is required as the course will not be recorded.

Course Summary:

In the past, working with US Census data in its various forms required gathering the data from numerous locations and using multiple software packages to process, analyze, and visualize it. Fortunately, recent improvements in census data delivery systems have made it far easier to acquire the data, greatly reducing the startup costs for people interested in working with the data. Additionally, new tools such as the tidycensus library in the R programming language offer a streamlined environment for acquiring, processing, and analyzing the census data products. This one-day workshop will provide a hands-on, guided introduction to working with US Census data using tidycensus in R. The course will focus on using geographically-referenced demographic and socioeconomic data from the decennial census and American Community Survey (ACS). Participants will learn how to acquire data, perform basic data preprocessing tasks (e.g., subset, query, join), create basic visualizations (e.g., maps, plots, and graphs), and perform basic spatial and statistical analysis (e.g., correlation). Some experience with coding (particularly in R) is strongly recommended. Prior to the course, participants are required to have a working version of R (or RStudio) with the tidycensus library installed. Participants are also required to register for a Census API Key.

Instructor: Paul Delamater

Paul L Delamater is interested in the geographic aspects of health outcomes and behaviors, as well as health care access and utilization. He uses methods that employ geographic information systems (GIS) and spatial analysis to better understand population health issues. His recent research has focused on understanding childhood vaccination, herd immunity, and vaccine-preventable diseases in the US.

Delamater holds a BS in Geography from Central Michigan University, an MA in Geography from Michigan State University, and a PhD in Geography (with an emphasis in Health and Medical Geography) from Michigan State University. Delamater was an Assistant Professor in the Department of Geography and Geoinformation Science at George Mason University before joining UNC in 2017 as an Assistant Professor in the Department of Geography. He is also a Faculty Fellow at the Sheps Center for Health Services Research.

Registration Fees
- UNC-CH Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc: $95
- Non UNC-CH: $145

Additional Course Registration
- Registration will close at 12:01 am on 5/29/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

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Results of the MedSafer Study: Electronic Decision Support for Deprescribing in Hospitalized Older Adults

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Emily G. McDonald MDCM, MSc, FRCPC
Scientific Director; Canadian Deprescribing Network
Associate Professor of Medicine; McGill University

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This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes.

Presenters:

Simone Frank, MPH, Engagement & Outreach Coordinator
MaryBeth Grewe, MPH, NC TraCS Community and Stakeholder Engagement Program Qualitative Research Specialist
Laura Villa Torres, PhD, Diversity & Inclusion Specialist

Register

 

Join a live training session for the N3C Data Enclave. Users of all types can learn how to navigate the N3C, utilize the Enclave and resources it provides, and learn how to better achieve their analytical goals. This orientation is split into 2 sessions – Session A and Session B. These orientations are offered on a monthly basis. Session A is recommended before attending Session B.

Session A is for those who want to learn about N3C, as well as how to engage with project teams and access the data.

Topics include:

• Provide a general overview of N3C, including goals, organization, and community resources such as Domain Teams and Data Liaisons.
• Introduces the 3 data tiers available and important considerations for research driven by the data harmonization process.
• Discusses resources for training and help, as well as the Data Use Request (DUR) process required for researcher access.

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Do We Really Need so Many Heart Failure Clinicians? (Tariq Ahmad, MD, MPH)

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Tariq Ahmad, MD, MPH
Director, Cardiac Transplant and MCS
Chief, Heart Failure Program
Yale School of Medicine, Yale New Haven Health

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Registration is now open for the AAMC 2022 Innovation Award Webinar, designed to highlight the winning projects from the 2022 Innovations that Bolster Community Trust and Engagement in Science Award. This webinar will allow opportunities for the dissemination of innovative models and peer learning opportunities.

Session 1 will feature the following speakers and projects:

Solano County Interdisciplinary Collaboration and Cultural Transformation Model (ICCTM) Innovations Project
University of California, Davis School of Medicine
Sergio Aguilar-Gaxiola, MD, PhD

A Pivot to Reduce COVID-19 Vaccine Hesitancy and Improve Health Equity
Dr. William M. Scholl College of Podiatric Medicine at Rosalind Franklin University
Martin Charles Yorath, DPM

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Valorie Buchholz will lead a discussion on the collection and maintenance of the essential documents required by Good Clinical Practice.

Objectives:

- Define Essential Documents in the context of Biomedical and Social/Behavioral clinical trials

- List the Essential Documents required at the beginning of the trial, during the trial, and at the end of the trial

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PREPARE: A Successful, Primarily Remote Pragmatic Trial in Black and Latinx Population with Asthma: Challenges and Successes

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Elliot Israel, MD
Professor of Medicine
Harvard Medical School
Gloria M. and Anthony C. Simboli Distinguished Chair in Asthma Research
Director of Clinical Research
Pulmonary and Critical Care Division
Allergy and Immunology
Brigham & Women’s Hospital

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This course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

Course Summary:

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

Instructor: Matthew Wigginton Bhagat-Conway

Matthew Wigginton Bhagat-Conway is an Assistant Professor in the Department of City and Regional Planning and a consultant in the Odum Institute for Research in Social Science. His research interests are in travel behavior, urban transportation, and statistical methods for transportation data analysis. He is available to assist researchers with statistics and data analysis.Dr. Bhagat-Conway has a PhD and MA in Geography from Arizona State University, and a BA in Geography from the University of California, Santa Barbara. Prior to graduate school, he was a software developer and project manager for Conveyal, a public transport planning consulting firm, and a fellow in the Data Science for Social Good fellowship at the University of Chicago.

Registration Fees
- UNC-CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $40
- Non UNC-CH: $40

Additional Course Registration
- Registration will close at 12:01 am on 6/17/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

Join a live training session for the N3C Data Enclave. Users of all types can learn how to navigate the N3C, utilize the Enclave and resources it provides, and learn how to better achieve their analytical goals. This orientation is split into 2 sessions – Session A and Session B. These orientations are offered on a monthly basis. Session A is recommended before attending Session B.

Session B is for analysts, statisticians, data scientists, or anyone who wants to gain a broader understanding of the tools needed to work with the data.

Topics include:

• Focus on technical aspects of working with data in the secure N3C Enclave, including use of OMOP concept sets and N3C-specific tooling, such as the Concept Set Browser.
• Introduce commonly used analysis tools, such as Contour and Code Workbooks and corresponding workflows for simple analyses.
• Introduce the Enclave Knowledge Store, a mechanism for sharing and using community-developed code and data across projects.

Register

This course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

Course Summary:

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

Instructor: Matthew Wigginton Bhagat-Conway

Matthew Wigginton Bhagat-Conway is an Assistant Professor in the Department of City and Regional Planning and a consultant in the Odum Institute for Research in Social Science. His research interests are in travel behavior, urban transportation, and statistical methods for transportation data analysis. He is available to assist researchers with statistics and data analysis.Dr. Bhagat-Conway has a PhD and MA in Geography from Arizona State University, and a BA in Geography from the University of California, Santa Barbara. Prior to graduate school, he was a software developer and project manager for Conveyal, a public transport planning consulting firm, and a fellow in the Data Science for Social Good fellowship at the University of Chicago.

Registration Fees
- UNC-CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $40
- Non UNC-CH: $40

Additional Course Registration
- Registration will close at 12:01 am on 6/17/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

This month's theme is "Data Science: More Than Numbers." The event will feature three lightning talks by professors and researchers in UNC-Chapel Hill’s academic community, centered around how data science is used as a foundational anchor in computer science and statistics projects. These talks will be followed by a guided panel, an opportunity for questions and answers with the speakers, and a discussion with the data science community at UNC-Chapel Hill.

Moderator:

Mariana Olvera - Cravioto
Statistics & Operations Research

Presenters:

Snigdha Chaturvedi
Assistant Professor, Department of Computer Science

David Gotz
McColl Term Professor, UNC School of Information and Library Science
Assistant Director, Carolina Health Informatics Program (CHIP)

Danielle Szafir
Assistant Professor, Department of Computer Science

For more information, please visit here.

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FDA Draft Guidance on Real-World Evidence

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

John Concato, MD, MS, MPH
Associate Director for Real-World Evidence Analytics
Office of Medical Policy (OMP)
Center for Drug Evaluation and Research (CDER)
Food and Drug Administration (FDA)

Learn More

This event is currently closed due to hitting max capacity. A waitlist is available.

In this session, participants will have the opportunity to ask questions and seek feedback on their qualitative analysis from facilitators and other attendees. This session serves as a workshop in which participants get a chance to discuss and review qualitative analysis techniques while also learning from others.

To attend, participants must be working on a qualitative data analysis project and can seek feedback on any step in the process (e.g., coding, creating matrices/diagrams/other products, developing categories or themes, summarizing data). One does not need to have attended previous qualitative analysis training sessions administered by NC TraCS. However, participants should come with some knowledge of qualitative data analysis techniques.

Presenters:
Simone Frank, MPH, Engagement & Outreach Coordinator
MaryBeth Grewe, MPH, NC TraCS Community and Stakeholder Engagement Program Qualitative Research Specialist
Laura Villa Torres, PhD, Diversity & Inclusion Specialist
Milenka Jean-Baptiste, MPH, Qualitative Research Specialist

Register

 

Registration is now open for the AAMC 2022 Innovation Award Webinar, designed to highlight the winning projects from the 2022 Innovations that Bolster Community Trust and Engagement in Science Award. This webinar will allow opportunities for the dissemination of innovative models and peer learning opportunities.

Session 2 will feature the following speakers and projects:

Community Engagement Model that Bolsters Trust and Trustworthiness
University of Florida, College of Public Health and Health Professions; College of Medicine
Linda B. Cottler, PhD, MPH, FACE

Empowering Healthcare Workers to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT
University of Chicago, Pritzker School of Medicine
Vineet Arora MD, MAPP

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