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The Faculty Research Summit 2009 aims to unite School of Nursing (SON) and School of Public Health and Information Sciences (SPHIS) faculty members to synergize their expertise. By combining clinical, biostatistical, and public health knowledge, we aim to enhance research capabilities, accelerate funding opportunities, and foster collaboration. Attendees will explore how to effectively utilize existing resources, share research focuses, and create working groups to drive innovation. This summit is vital for cultivating partnerships that lead to impactful research outcomes and greater knowledge in health sciences.
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Faculty Research Summit 2009SON and SPHIS Let’s Work in Parallel and Create Synergy
University Structure • ‘The best career advice to give to the young faculty is: “Find out what you like doing best and get someone to pay you for doing it”.’
Rationale for Summit • SPHIS faculty need individuals with clinical expertise. • SON faculty need biostatistical support and experts in public health. • Combining the skill sets from these two schools is needed and warranted and will enhance our research capabilities.
Summit Goal • To accelerate our research and funding • Increase our Capabilities • Create synergy • Discover solutions that lead to greater knowledge
Mechanisms for Achieving Goals • Constructing working groups (Today!) • Finding out what resources (researchers) exist in our specific topic area (at the other school) • Open lines of communication between researchers • Target funding mechanisms
Today’s Agenda • SON researchers describe their research focus areas and where they could benefit from SPHIS support (1PM-2PM). • Statistical Consulting Center discusses their capabilities and assets (2PM-2:15PM). • SPHIS faculty discusses projects that could benefit from SON involvement (2:15PM-3PM) • Breakout sessions for working groups (3PM)
Research Focus Areas John Myers, PHD MSPHDepartment of Bioinformatics and Biostatistics
Research Lead by Me • Cost-effectiveness Analysis and Quality of Life Research • Survival Analysis Techniques • Cardiology
As a Collaborator • Quantitative methods • Decision analysis methods • Cost-effectiveness Analysis
Where I need Help • Access to Patients • Datasets for secondary analyses • Clinical expertise and knowledge for manuscript preparation and grant applications
Where I can Help • Quantitative analyses and write-ups • Performing cost-effectiveness analyses • Writing the statistical analytic plan for grant application
How I have Benefited from Existing Collaborations • Grants • Posters/Presentations • Manuscripts • Greater network of colleagues and friends