Post Categories
Center for Infectious Disease Dynamics Graduate Student Association
Follow us on Twitter
My TweetsTags
- academic advice
- cgsa blog
- elementary school
- Great Insect Fair
- GSA
- malaria
- media
- mosquito
- networking
- Outreach
- outside academia
- popular science
- professional development
- programming
- publicity
- public outreach
- R
- science education
- statistics
- STEM
- Talk
- trivia
- vaccine-preventable disease
- vector-borne disease
- workshop
Our purpose and policies
All posts to this blog are a reflection of the views of that particular author, not the CIDD Graduate Student Association as a whole. In order to keep discussion open but directed, any comments or opinions about a specific post should be directed to the author of that post, either publicly in a comment on that specific post or in private correspondence.
These policies are in place because this blog is meant to be a place for individual grad students to discuss and explore their own ideas, moderated by the CIDD Graduate Student Association as a whole, not solely a place for the CIDD GSA to collectively post about things already discussed by the group. Directing responses to specific posts at other graduate students involved with this blog is likely to be fruitless as they may not be familiar with the subject at hand.
Contributing Authors
Login
Author Archives: keziamanlove
Multi-scale models in infectious disease epidemiology
This post may be subject to revision, contingent upon on-going discussion. The current date of last modification is March 24, 2016. Models that link within- and between-host processes are potentially important tools in disease ecology, but the disease research community … Continue reading
Ten cross-scale disease questions I wish I could answer
CIDD has the personnel to do some amazing work on cross-scale disease dynamics, but it’s not always clear how to relate within- and between-host processes. People researching within-host processes may not understand the sorts of questions that researchers working between … Continue reading
A quick overview of GIS with R
Spatial data are pervasive in ecology, especially for wild systems. In the past, ecological analyses that hinged on space were usually performed in ArcGIS. A LOT of species distribution modeling and habitat modeling utilized Arc functionality, thanks in great part … Continue reading
Why aren’t there more women in ecological computing?
In case you somehow missed this, we’re living in an information era. For most scientists, this means that an ever-growing component of our jobs is to access and synthesize information. The old naturalist skills that drove ecology in the past … Continue reading
A few steps toward cleaner, better-organized code
This post follows from a discussion with my Bozeman lab on code management (see my very ugly slides with more details, especially on using git and github through Rstudio, here). Developing good coding habits takes a little time and thought, … Continue reading
Favorite disease dynamics papers from 2013?
Hey CIDDers! I’m drafting a blogpost on must-read disease papers from 2013, and I want to hear your opinions. What do you think were the big findings/syntheses/discussions in disease ecology last year? What 2013 material should first-year CIDD grad students … Continue reading