Brainstorming ideas at the Hackathon.
Imagine an ecologist. Now imagine a programmer. Did you imagine the same person? If you were at the Ecology Hackathon on the day before the Ecology Across Borders (#EAB2017) conference in Ghent, Belgium (a joint conference between the BES, GFÖ, NecoV and EEF), you probably did (or at least we hope you did!).
Ecology is becoming increasingly quantitative and, as a result, we can add one more item on our daily to do lists as scientists:
- Think of questions
- Go on fieldwork / run simulations
- Supervise students
- Meet with our own supervisors
- Write articles and review manuscripts
- Answer emails
- And now code as well
A Coding Community
Coding doesn’t need to be a lonely activity – one of the areas where it truly shines is collaborative coding. This can take us across borders and bring us together to figure out the best way to answer our research questions. That is exactly what the EAB Ecology Hackathon set out to do. Continue reading
©2016 The R Foundation
Scientific software is an increasingly important part of scientific research, and ecologists have been at the forefront of developing open source tools for ecological research. Much of this software is distributed via R packages – there are over 200 R packages for ecology and evolution on CRAN alone. Methods regularly publishes Application articles introducing R packages (and other software) that enable ecological research, and we’re always looking for new ways to enable even more and better ecological software.
This December, we will be teaming up with rOpenSci and special interest groups from BES, GfÖ and NecoV to hold our first Ecology Hackathon at the Ecology Across Borders conference in Ghent. The hackathon will be held as a one-day pre-conference workshop on Monday 11th December. Together, the attendees will identify some challenges for ecological research, and team up to build R packages that help solve them.
We’ve started compiling potential topics for new R packages in a collaborative document, but we need more. Are you having any difficulties in your research that could be solved with an R package? Is there a package that you wish existed but have never been able to find? If so, WE WANT TO HEAR FROM YOU!
Please take a look at our current list of challenges and add your suggestions!