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

Course Summary:
This course will teach participants how to use the programming language Julia to load, clean, plot, and analyze social-science data. Julia is a newer programming language with a focus on high-performance scientific computing and allows efficient manipulation of large datasets. The course will cover the basics of loading tabular data; cleaning, filtering, and joining that data; calculating descriptive statistics; and estimating statistical models.

Instructors: 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: $40

Additional Course Registration
- Registration will close at 12:01 am on 2/26/2022. 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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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.

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This online training will provide an introduction to basic qualitative data analysis. Participants will have the opportunity to practice developing and applying codes.

Topics:

• Basics of qualitative data analysis and steps in the analysis process
  • transcribing, memoing, codebook development and coding
• Using computer-based analysis software
• Exploring content areas or themes
• Interpreting and communicating findings

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

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CTSA Grand Rounds: Tomeka Suber, MD, PhD - Metabolites as biomarkers and mediators of host resilience in acute lung injury

Please join us to hear Tomeka Suber, MD, PhD, a K Scholar from the University of Pittsburgh, discuss her work exploring the pathogenesis of acute respiratory distress syndrome (ARDS) by focusing on identifying metabolites that are predictive of ARDS subphenotypes. This event is co-sponsored by NC TraCS and the Marsico Lung Institute.

For any questions regarding the event, please email Susan Pusek at This email address is being protected from spambots. You need JavaScript enabled to view it..

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ACP COVID: A Trial to Evaluate an Advance Care Planning Video and Communication Skills Training Intervention for Older Adults During an Evolving Pandemic (Angelo E. Volandes, MD, MPH; James A. Tulsky, MD; Sophia N. Zupanc, BA)

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Angelo E. Volandes, MD, MPH
Associate Professor, Harvard Medical School and Massachusetts General Hospital
James A. Tulsky, MD
Chair, Department of Psychosocial Oncology and Palliative Care
Dana-Farber Cancer Institute
Professor of Medicine, Harvard Medical School
Sophia N. Zupanc, BA
Dana-Farber Cancer Institute

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