Details to follow
March 12-14, 2014
Isla Verde, Puerto Rico
The third annual ECHORN symposium featured activities and presentations that highlighted innovative strategies used to combat the challenges of research from project development to dissemination of findings. Illustrations in approaches to problem solving came from local Caribbean researchers as well as senior faculty within the network.
May 29-31st, 2013
St. Thomas, Virgin Islands
The second annual ECHORN Symposium featured an interactive learning workshop that combined active learning with targeted mentorship. The workshop was designed for health research professionals and graduate students who work with populations in or from the Caribbean. Participants selected a learning track: research methodology or strategies for effective research management.
June 20-22, 2012
ECHORN network members gathered to prepare for the launch of the data collection phase of the ECHORN project. The Symposium featured activities that highlighted research implementation strategies and tools, reviewed clinical procedures, and imparted lessons on capacity and community strengthening within the ECHORN collaborative and beyond.
April 3-4, 2014
University of the Virgin Islands, St. Thomas, U.S. Virgin Islands
To understand the need for and the stages in the development of precise research questions.
To understand the steps to completion of a rigorous community needs assessment, including development of goals, identification of existing data sources and collection of new data.
March 5-6, 2013
University of Puerto Rico, Graduate School of Public Health, Puerto Rico
To provide an introduction to the theories, measures and methodological approaches to social network analysis. The introduction included the use of examples from the literature to illustrate past and present use of social network analyses.
February 28 - March 1, 2013
University of the West Indies, Cave Hill, Barbados
To provide an introduction to basic statistical concepts such as distribution, measures of central tendency, bivariate analyses (t-test, ANOVA, Chi-square, Correlations) and multivariate analyses (linear and logistic regression).
To provide attendees with the tools needed to perform the statistical concepts outlined above in SPSS using sample datasets.