This interactive online workshop will provide an introduction to focus groups, a data collection method used in qualitative research. Topics covered will include focus group methodology, considerations for planning a focus group, development of focus group discussion guides, focus group facilitation skills, and tips for conducting virtual focus groups.
MURAL Multilingual Research Capacity Building Lecture Series - Translating Research Instruments: Is the Forward-Back Approach Enough?
As unrest continues around the country, this discussion will provide a foundation for consideration of the intersection of race and police brutality, and provide local resources to stay connected and informed.
MURAL Multilingual Research Capacity Building Lecture Series: Working with professional interpreters, translators, and research participants who speak primary languages other than English
The NC TraCS Biostatistics Seminar Series provides more in-depth discussion of select biostatistical topics for clinical and translational researchers who have basic quantitative training in biostatistical methods. Join us this fall for seminars on data visualization & statistical graphics, power analysis & sample size planning, and Bayesian clinical trial design.
The workshop will be led by NC TraCS Community and Stakeholder Engagement Program Qualitative Research Specialists.
Online journal club led by members of the NC TraCS Comparative Effectiveness Research team discussing COVID-19 related publications.
In this session of the NC TraCS Machine Learning Seminar series, Michele Jonsson-Funk, PhD, will introduce Machine Learning concepts and the potential implications of using Machine Learning for clinical research.
In this seminar, Cathi Propper, PhD, will focus on early predictors of cognitive outcomes in preschool age children. Specifically, prenatal experience such as stress, inflammation, and nutrition play a critical role in shaping childhood developmental trajectories and they differ by sociodemographic status. Prenatal experience may also influence infant sleep across the first year of life, which may act as a mediator of the relationship between prenatal experience and cognitive outcomes.
In this session of the NC TraCS Machine Learning Seminar series, Nabarun Dasgupta, MPH, PhD, will provide an overview of Machine Learning vs Natural Language Processing. Dasgupta will discuss three examples of how he has utilized Machine Learning in research – from using an algorithm to predict out-of-hospital deaths in claims data to using Machine Learning to conduct systematic review searches.
In this session of the NC TraCS Machine Learning Seminar series, Buck Bohac, PhD, will walk attendees through the process of using CLARK! and regular expressions for clinical research. CLARK! is a machine-learning classifier developed through a collaboration between NC TraCS and CoVar Applied Technologies, a Durham, NC-based machine learning company. CLARK! is designed to take clinical notes as input, and classify those notes based on features defined by the user as regular expressions.
Special Emphasis: NC State ASSIST & UNC Translational Research Collaborations
NC TraCS and the Center for Advanced Self-powered Systems of Integrated Sensors and Technologies (ASSIST) at NC State are seeking highly innovative proposals that address high-impact unmet clinical needs using NC State's ASSIST-developed technologies. The goal of this Special Emphasis is to match UNC providers' expertise of clinical challenges and unmet needs, with engineering faculty at ASSIST seeking to develop novel technology applications.
ASSIST, along with NC TraCS, is extending an open invitation to UNC faculty, NC TraCS partners, and UNC Health providers to join a virtual Technology Showcase hosted by ASSIST.