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:

• 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.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

The TOGETHER Early Treatment of COVID Trial: Building Platform Trial Infrastructure for Infectious Diseases

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Edward Mills, PhD, FRCP, Professor, Department of Health Research Methods, Evidence & Impact, McMaster University, Canada.

Learn More

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

• Introduction to Effective Information Visualization
• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Programming Using Python

WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM

• Exploring Data Analysis Using R Markdown
• Improving R Programs
• Intermediate Python
• Using Linked Data

THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM

• Visualization for Data Science Using R
• Introduction to Deep Learning with Python
• Introduction to Statistical Machine Learning Using R
• R for Automating Workflow & Sharing Work
• Text Analysis Using R

To learn more, visit datamatters.org/course-schedule.

Details are also provided on the regsitration page:

The 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

• Introduction to Effective Information Visualization
• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Programming Using Python

WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM

• Exploring Data Analysis Using R Markdown
• Improving R Programs
• Intermediate Python
• Using Linked Data

THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM

• Visualization for Data Science Using R
• Introduction to Deep Learning with Python
• Introduction to Statistical Machine Learning Using R
• R for Automating Workflow & Sharing Work
• Text Analysis Using R

To learn more, visit datamatters.org/course-schedule.

Details are also provided on the regsitration page:

The 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:

• 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.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

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

• Introduction to Effective Information Visualization
• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Programming Using Python

WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM

• Exploring Data Analysis Using R Markdown
• Improving R Programs
• Intermediate Python
• Using Linked Data

THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM

• Visualization for Data Science Using R
• Introduction to Deep Learning with Python
• Introduction to Statistical Machine Learning Using R
• R for Automating Workflow & Sharing Work
• Text Analysis Using R

To learn more, visit datamatters.org/course-schedule.

Details are also provided on the regsitration page:

The 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

• Introduction to Effective Information Visualization
• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Programming Using Python

WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM

• Exploring Data Analysis Using R Markdown
• Improving R Programs
• Intermediate Python
• Using Linked Data

THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM

• Visualization for Data Science Using R
• Introduction to Deep Learning with Python
• Introduction to Statistical Machine Learning Using R
• R for Automating Workflow & Sharing Work
• Text Analysis Using R

To learn more, visit datamatters.org/course-schedule.

Details are also provided on the regsitration page:

The 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

• Introduction to Effective Information Visualization
• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Programming Using Python

WED. BLOCK: Classes on Wed., August 11, 9:30 AM - 4:00 PM

• Exploring Data Analysis Using R Markdown
• Improving R Programs
• Intermediate Python
• Using Linked Data

THUR/FRI BLOCK: Classes on Thur-Fri., August 12-13, 9:30 AM - 4:00 PM

• Visualization for Data Science Using R
• Introduction to Deep Learning with Python
• Introduction to Statistical Machine Learning Using R
• R for Automating Workflow & Sharing Work
• Text Analysis Using R

To learn more, visit datamatters.org/course-schedule.

Details are also provided on the regsitration page:

The 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.

Got anything for this cough? Outpatient Treatment Trials in the Time of COVID

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Davey Smith, MD, Protocol Co-Chair ACTIV-2, Professor of Medicine, UC San Diego.

Learn More

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:

• 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.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

Fluvoxamine for early treatment of COVID-19: The STOP COVID clinical trials

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.

Learn More

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:

• 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.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

Targeting Equity in Access to Mentoring (TEAM) ADVANCE will host information sessions to highlight our 2021-22 faculty mentoring programs. We invite faculty to attend an Information Session and meet members of our project team, hear from past participants, and learn more about our programs:

• TEAM ADVANCE Faculty Mentor Training - For faculty (all ranks) seeking to enhance their mentoring with equitable, intersectionality-informed skills.
• Women ADVANCE Leadership - For mid-career women faculty (tenured and fixed-term) to enhance their skills and advance into leadership roles.
• TEAM ADVANCE Peer Mentoring Circles - Peer-based mentoring for early-career faculty (pre-tenure and fixed-term) seeking to advance their professional goals, build community, and become self-advocates.

This TEAM ADVANCE's session will be virtual via zoom. We hope you will join us!

Register

For more information about TEAM ADVANCE:

• Visit https://cfe.unc.edu/team-advance/
• Contact This email address is being protected from spambots. You need JavaScript enabled to view it.

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.

Instructor

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.

Registration fees

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.

Instructor

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.

Registration fees

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!

Milrinone as Compared with Dobutamine in the Treatment of Cardiogenic Shock: The DOREMI trial

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features Benjamin Hibbert, MD, PhD, Clinician Scientist and Interventional Cardiologist, University of Ottawa Heart Institute.

Learn More

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

Register

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:

• 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.

Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET

Register

Real World Evidence in the COVID Era: When results vary - vaccine effectiveness against the Delta variant

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

Register