Fall 2017 Seminar Series

Reproducibility of research results across repeated studies is a defining feature of science. However, in the last few years scientists across several fields including (but not limited to) psychology, cancer biology, biochemical science, preclinical research, ecology, and evolution have been facing difficulty reproducing well-known results in their respective fields. This disconcerting trend has resulted in…

[robo-gallery id=4674] Save these dates! IMCI and IBEST are pleased to announce our seminar speakers for this spring. The following individuals will be talking on Thursdays in EP 122, 12:30 – 1:20: April 2 – Mike Famulare, Institute for Disease Modeling“Biological challenges on the path to polio eradication—insights from mathematical modeling” April 16 – Rachael…

Data Carpentry – Geospatial Analysis Workshop dates: Thursday and Friday, March 26-27, 9 a.m. – 5 p.m. Instructors: Erich Seamon and Travis Seaborn Description: This hands-on workshop will focus on managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. An introductory knowledge to R…

Introduction to R for Reproducible Science Workshop dates: Thursday and Friday, February 27-28, 9 a.m. – 5 p.m. Instructors: Lihong  Zhao and Amanda Culley Description: This introductory course will showcase reproducible research through simple analysis examples. The goal is to teach novice programmers to write modular code and best practices for using R for data analysis. This 2-day…