The National Institute of General Medical Sciences created the Maximizing Investigators’ Research Award (MIRA) program in 2016, both to broaden the pool of investigators supported by NIH and to provide investigators more flexibility in their research directions than awarded in a traditional NIH R01. Research areas supported by the MIRA include many basic biomedical research topics including: biophysics, biomathematics, pharmacology, physiology, biotechnology, cellular and developmental biology, and genetics. The purpose of this workshop is to introduce researchers to the MIRA mechanism and provide some strategies for approaching different aspects of the MIRA application. We will pay special attention to the sections new to the latest re-issuance of the funding opportunity, namely the Plan for Enhancing Diverse Perspectives and the NIH Data Management and Sharing Plan.

On Thursday, August 10th you'll learn more about the MIRA program, including:

• What is the MIRA, and how is it different from an R01?
• Developing your Research Strategy Section
• The NIH Data Management and Sharing Plan

This session will be held online or in-person at the Talley Student Center on the NC State campus in Raleigh, NC.

On Friday, August 11th you'll have the opportunity for hands-on writing practice. This session is only available in-person at the Talley Student Center and will include brainstorming techniques for your Plan for Enhancing Diverse Perspectives, and getting the most out of your NIH Biosketch.

This workshop is presented by the NC State Proposal Development Unit, with support from NC TraCS and the NC State Genetics and Genomics Academy.

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Data Science Courses for Working Professionals, Faculty, and Students

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. 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, and RENCI.

Held virtually via Zoom, Data Matters gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors.

Courses

• Basics of R for Data Science and Statistics
• Introduction to Programming in R
• Introduction to Python
• Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
• Visualization in Data Science Using R
• Advanced Visualization in R: R Shiny
• Exploratory Data Analysis Using R Markdown
• Intermediate Python
• Introduction to Geospatial Data for the Data Scientist
• Overview to AI and Deep Learning
• Basic Statistics in R
• Deep Learning with Python
• Geospatial Analytics
• Introduction to Effective Information Visualization
• Statistical Machine Learning Using R

View course descriptions

View the course schedule

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The REMAP-CAP Adaptive Platform Trial: Recent Insights and Future Directions

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Patrick Lawler, MD, MPH
Cardiology and Critical Care Divisions
McGill University and University of Toronto

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