Radiology Research Alliance (RRA)/Radiology Alliance for Health Services Research (RAHSR) Research Mentor Academy Webinar Series
Effective radiology research mentoring is essential for developing residents and faculty capable of conducting high quality radiology research. The Research Mentor Academy provides training for academic radiologists to enhance their knowledge and skills in research-related mentoring. The training is intended for mid-career and senior faculty with prior mentoring experience. Each Webinar was previously recorded live and can be accessed below using YouTube.
Webinars:
Starting Mentor-Mentee Relationship: Aligning Expectations and Assessing Understanding
(Recorded November 9, 2017)
Resources:
Defining the Ideal Qualities of Mentorship Nature's Guide for Mentor's
This webinar covers how to: 1) effectively establish mutual expectations for the mentoring relationship, 2) clearly communicate expectations for the mentoring relationship, 3) consider personal and professional differences that may influence expectations, 4) identify various reasons for a lack of understanding, including expert-novice differences, and 5) use multiple strategies to enhance mentee understanding across diverse disciplinary perspectives.
Continuing Mentor-Mentee Relationship: Maintaining Effective Communication and Conflict Resolution
(Recorded December 13, 2017)
Concluding Mentor-Mentee Relationship: Building Mentee Confidence and Fostering Independence
(February 21, 2018 at 12pm EST)
Articulating Your Mentoring Philosophy and Overcoming Challenges
(Recorded April 5, 2018)
Presenters:
Leon Lenchik, MD President of Radiology Research Alliance Professor of Radiology Vice Chair for Faculty Development Division Chief of Musculoskeletal Imaging Wake Forest School of Medicine
Georgeann McGuinness, MD, FACR Associate Dean for Mentoring and Professional Development Professor and Sr. Vice Chair of Radiology Vice Chair of Academic Affairs Director, Clinical Faculty Mentoring NYULMC NYU Langone Medical Center
The RAHSR/RRA Webinar Series is supported by a Venture Fund Grant from the AAR Research and Education Foundation
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