Join a Multidisciplinary Interest Group or Start a New Group

The Professional Development Core invites all investigators registered with the NNE-CTR network to get involved with an existing Multidisciplinary Interest Group or explore the idea of starting a new group. Most of the current Interest Groups are based at MaineHealth, but remote participation is encouraged. Have questions? Contact our Professional Development Curriculum Director, Ivette Emery, for any answers or connections that could help. Otherwise, just click Get Started to provide your contact information and research interests, and we will be in touch! 


Existing Multidisciplinary Interest Groups

Biostat Coffee Hour Group: A forum for discussion of statistical issues, questions and techniques pertinent to the design and analysis of epidemiological and health services research data.

Neurocritical Care Research Group: Clinicians and basic/translational scientists interested in population, clinical and translational neurocritical care research.

Group Peer Manuscript Review: This group is for anyone interested in improving their manuscript-drafting or –review skills. Anyone can present a manuscript they are writing at any stage of the process. 

Innovation Cohort: Commercialization-minded collaborators interested in testing new ideas, starting companies, running experiments, and accessing resources to drive the growth of scalable innovations. 

Metabolic COBRE Clinical Partners Researchers Group: Fosters transdisciplinary collaborative research partnerships between basic scientists and clinicians interested in metabolic diseases such as obesity, diabetes, metabolic bone disease, and energetics.

Qualitative Research Group: This group is focused on qualitative research in health care. Specific areas of interests include focus group research and methods of stakeholder engagement in research.

R User Group: A resource for new and experienced users of the statistical programming language R. R is a widely used open source program used in fields as diverse as genomics research and business analytics.

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