Peanut Butter Club

What is Peanut Butter Club? 

Peanut Butter Club takes on 2 flavors throughout the year. In the fall the club is more informal, covering a wide range of topics. The spring semester is organized around a specific topic and taught as ECOL8030.

Spring 2017 Edition

This semester the Odum graduate students will be tackling Data Carpentry for Ecologist. The course will cover introductory material for teaching ecologists how to interact with data including: data structure, database management systems, and programming for data manipulation, analysis, and visualization. It is designed to be used as a flipped university course and also to be useful for self-guided students.

The see the course website for more information.

Fall 2016 Edition

It essentially boils down to academics eating lunch together. This is an informal group where we will discuss scientific issues over whatever you brought in for lunch that day.

When? : Fridays, noon in the seminar room 117 (check out the calendar for events)

The lunch will be very adaptable to the needs of folks who come to it. Below, we outline some potential categories for lunchtime fun.

  • Informal discussion of research ideas or ecological issues (including non-research ideas that are of general interest to the Odum community). e.g., Is neutral theory still relevant to ecology, or should we treat it solely as a “null”?
  • “Papers everyone should read” : lead a discussion about a paper you think should be of general interest to ecologists – be sure to include a couple of sentences about why the paper is something everyone should read when you sign up! This will be fairly rare, as these papers need to be big conceptual or methodological advancements. e.g., Anderson, R.M. & May, R.M. (1978) Regulation and stability of host-parasite population interactions (JANE) would qualify if it was before 1980
  • Skills workshops : Do you know something that would be helpful to your fellow graduate students or postdocs? Teach us. e.g., R markdown, Version control with GitHub, SQL, LaTex/BibTex, Slidify, etc.
  • Experimental design/analysis : struggling with a general problem concerning how to design or analyze experimental data? Talk it out over lunch.

If you have any questions, email  Reni Kaul