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 ongoing and will alternate week by week. 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:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Edward Mills, PhD, FRCP, Professor, Department of Health Research Methods, Evidence & Impact, McMaster University, Canada.
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government.
Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more. Expert instructors from across the country teach courses on topics such as information visualization, data curation, data mining and machine learning, programming in R, system dynamic and agent-based modeling.
One course can be selected from each of the following blocks:
MON/TUE BLOCK: Classes on Mon/Tue., August 9-10, 9:30 AM - 4:00 PM
WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM
THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM
To learn more, visit datamatters.org/course-schedule.
Details are also provided on the regsitration page:
registerThe short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University.
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government.
Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more. Expert instructors from across the country teach courses on topics such as information visualization, data curation, data mining and machine learning, programming in R, system dynamic and agent-based modeling.
One course can be selected from each of the following blocks:
MON/TUE BLOCK: Classes on Mon/Tue., August 9-10, 9:30 AM - 4:00 PM
WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM
THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM
To learn more, visit datamatters.org/course-schedule.
Details are also provided on the regsitration page:
registerThe short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University.
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 ongoing and will alternate week by week. 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:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government.
Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more. Expert instructors from across the country teach courses on topics such as information visualization, data curation, data mining and machine learning, programming in R, system dynamic and agent-based modeling.
One course can be selected from each of the following blocks:
MON/TUE BLOCK: Classes on Mon/Tue., August 9-10, 9:30 AM - 4:00 PM
WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM
THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM
To learn more, visit datamatters.org/course-schedule.
Details are also provided on the regsitration page:
registerThe short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University.
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government.
Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more. Expert instructors from across the country teach courses on topics such as information visualization, data curation, data mining and machine learning, programming in R, system dynamic and agent-based modeling.
One course can be selected from each of the following blocks:
MON/TUE BLOCK: Classes on Mon/Tue., August 9-10, 9:30 AM - 4:00 PM
WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM
THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM
To learn more, visit datamatters.org/course-schedule.
Details are also provided on the regsitration page:
registerThe short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University.
Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government.
Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more. Expert instructors from across the country teach courses on topics such as information visualization, data curation, data mining and machine learning, programming in R, system dynamic and agent-based modeling.
One course can be selected from each of the following blocks:
MON/TUE BLOCK: Classes on Mon/Tue., August 9-10, 9:30 AM - 4:00 PM
WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM
THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM
To learn more, visit datamatters.org/course-schedule.
Details are also provided on the regsitration page:
registerThe short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Davey Smith, MD, Protocol Co-Chair ACTIV-2, Professor of Medicine, UC San Diego.
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 ongoing and will alternate week by week. 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:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
Join the Association for Clinical and Translational Science (ACTS) Evaluation Special Interest Group for a live webinar entitled “Form Follows Function: Variation in Database Design and Uses Across CTRs and CTSAs” presented by Ingrid Philibert, PhD, MA, MBA, Director, Tracking and Evaluation, Great Plains IDeA CTR, University of Nebraska Medical Center.
There is no registration required for this event, simply click the meeting link at the specified date/time and enter the passcode 617273 to join and participate.
This session is part of a series co-sponsored by the ACTS Evaluation SIG and the American Evaluation Association (AEA) Translational Research Evaluation Topical Interest Group (TRE TIG). This webinar is also co-sponsored by the AEA Internal Evaluation TIG. Learn more about the webinar series here.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Eric Lenze, MD, Wallace and Lucille K. Renard Professor of Psychiatry, Washington University School of Medicine, St. Louis.
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 ongoing and will alternate week by week. 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:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
August 25 and 27, 10:00 am - 4:00 pm
This two-day course will be offered via Zoom only. However, this course will not be recorded.
Social scientists are often interested in untangling complex social issues, which require creative and expansive data and methods to address. Mixed methods research typically refers to research design and implementation that combines qualitative and quantitative data collection and/or analysis techniques. The goal of this two-day course is to introduce conceptual and practical frameworks and considerations in developing, designing, implementing, executing, analyzing, presenting, and writing up mixed methods research.
We will focus on practical tools and challenges confronted across the stages of mixed methods research. This course is designed for those relatively new to mixed methods research, and interested in learning about it as a research approach and learning about considerations and principles in designing and executing it. Participants are encouraged to bring questions and queries about their own projects so we can discuss these as a group.
Shiri Noy is Assistant Professor of Sociology at Denison University. She has taught both graduate and undergraduate research methods, and has conducted and published interdisciplinary and sociological research across methods and in mixed methods. She is fundamentally interested in how we approach ways of understanding the social world, and how best to collect and analyze data that helps us untangle and address issues of substantive, conceptual, theoretical, and empirical interest.
UNC-Chapel Hill Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance)
UNC-Chapel Hill Faculty/Staff/Postdoc: $95
This class will be offered via Zoom ONLY. Registration closes at 12:01am on 8/22/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!
August 25 and 27, 10:00 am - 4:00 pm
This two-day course will be offered via Zoom only. However, this course will not be recorded.
Social scientists are often interested in untangling complex social issues, which require creative and expansive data and methods to address. Mixed methods research typically refers to research design and implementation that combines qualitative and quantitative data collection and/or analysis techniques. The goal of this two-day course is to introduce conceptual and practical frameworks and considerations in developing, designing, implementing, executing, analyzing, presenting, and writing up mixed methods research.
We will focus on practical tools and challenges confronted across the stages of mixed methods research. This course is designed for those relatively new to mixed methods research, and interested in learning about it as a research approach and learning about considerations and principles in designing and executing it. Participants are encouraged to bring questions and queries about their own projects so we can discuss these as a group.
Shiri Noy is Assistant Professor of Sociology at Denison University. She has taught both graduate and undergraduate research methods, and has conducted and published interdisciplinary and sociological research across methods and in mixed methods. She is fundamentally interested in how we approach ways of understanding the social world, and how best to collect and analyze data that helps us untangle and address issues of substantive, conceptual, theoretical, and empirical interest.
UNC-Chapel Hill Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance)
UNC-Chapel Hill Faculty/Staff/Postdoc: $95
This class will be offered via Zoom ONLY. Registration closes at 12:01am on 8/22/2021. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Benjamin Hibbert, MD, PhD, Clinician Scientist and Interventional Cardiologist, University of Ottawa Heart Institute.
This course will be offered via Zoom only. However, this course will not be recorded.
This training will cover the new Qualtrics interface rolled out in Spring 2021. Qualtrics is a web-based survey system used to develop and conduct online surveys. Users will be guided through the new interface to showcase where features have been moved, how old features are now implemented, and a demonstration of new features added in the latest update. Users with prior knowledge of Qualtrics will find this course most useful. For those who would are interested in a course focusing on survey creation, customization, distribution, or other advanced features, see the Odum Short Course list for future Qualtrics trainings. We will NOT cover the analysis or reporting tools of Qualtrics.
Instructor: Tyler Steelman is a 5th year PhD candidate in the Political Science Department at UNC-Chapel Hill. He is currently the Qualtrics Consultant for the Odum Institute where he assists users with technical software questions related to the Qualtrics platform.
Tyler uses Qualtrics in his own research, which focuses on non-territorial forms of representation in the United States—namely, surrogate representation. His most recent publication examines why special interest groups endorse the candidates they do. You can find links to this work, and others, at his website: tylersteelman.com
Registration Fees:
– UNC-CH Students – $15
– UNC-CH Faculty/Staff/Postdoc – $40
This class will be offered via Zoom ONLY. Registration closes at 12:01 am on 8/27/2021.
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 ongoing and will alternate week by week. 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:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
Join the NC TraCS Comparative Effectiveness Research team to discuss the growing literature on COVID vaccine effectiveness against the Delta variant and how to interpret studies with conflicting results.
Articles for discussion:
Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant
Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance data (Original paper with study methods)
Latest results - Review Slide #7
Discussion Leaders
Michele Jonsson-Funk, PhD, Associate Professor
Epidemiology, Gillings School of Global Public Health
Sara Dejene, PhD Candidate
Epidemiology, Gillings School of Global Public Health