As Abstract Season is underway (I have so many conferences I’m considering this year!) I thought it’d be a smart idea to finish up recapping some of my 2018 experiences. As part of my flurry of travel last semester I spent November 8 – 9 attending the Explore Neon Workshop at NEON’s headquarters in Boulder, Colorado. Looking back, I’m still shocked that so much information and guidance was conveyed in just two days! Myself and several other graduate students traveled to NEON, learned how to access and work with NEON data, and interacted with NEON science staff. I really enjoyed working with data alongside a group of ecologists/botanists/biologists/etc (no shade, statisticians, but ecologists will nerd out with me about nature AND data).
What is NEON?
The National Science Foundation’s National Ecological Observatory Network (NEON) is a continental-scale ecological observation facility that collects and provides open data from field sites across the US. This project has been in the development and planning stages for several years and is now shifting into the beginning of its 30+ years of monitoring producing consistent, comparable, high-quality data. The ultimate goal is to collect data that can characterize and quantify how ecosystems across the 20 ecoclimatic domains are changing.
If you haven’t read Part One in this series, please consider giving it a quick peek. Applying to STEM graduate programs is a long, stressful, multifaceted journey. In the previous post, we covered what resources you may already have at your disposal, how to get in contact with potential graduate mentors, and what information you’re likely to want to share with them during this initial contact. That sounds like a lot, but there’s even more to cover! With this half of our guide we will detail what additional components you must compile to submit as part of an application to a research program.
Taking Required Entrance Exams (August-December)
Graduate schools often want you to report scores from a few major exams. This requirement is currently in flux, so it’s worth it to check carefully to see what each school you are interested in requires. Preparing for these exams is a big part of preparing for your graduate school application. You can dramatically improve your scores by taking advantage of the training materials ahead of time. While these tests are important, most graduate programs do not use these scores as the only metric to judge your application. In addition to several departments removing the GRE as a requirement altogether, others are decreasing the weight given to the GRE during the admissions process. It’s important to do your best and, once the test is complete, shift your focus to making the rest of your application as strong as possible.
Last week was a garbage fire, with the news and all. As a result, I’m (Rachel) going to give myself a pass on this post being many days late. We hope these links give you a good distraction and help you welcome in October and the changing seasons.
This is a very thoughtful piece about how teaching students the common underlying point of statistical tests might help them learn more, as opposed to parading as many tests as possible out over the course of the term.
Want to check out a fascinating and strangely beautiful #DataViz of how random the success of an individual published work can be? Click right here. I found this weirdly mesmerizing.