But we know Avida can have a steep learning curve. A big part of that, especially for people with a less computational background, is that there are a lot of computational skills that are necessary (or at least highly useful) for running experiments in Avida. Increasingly, these skills are also useful for scientific computing more generally. That's why we created this workshop: a Software Carpentry workshop with a focus on getting participants up and running with Avida. Software Carpentry is a series of workshops with the mission of helping scientists and engineers get more research done in less time and with less pain by teaching them these skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. We will also apply all of these general concepts to the specific case of working with Avida; over the course of the workshop, participants will configure a run of Avida, submit it to a compute cluster, and analyze the results.
For more information, go here: http://emilydolson.github.io/2015-10-17-avida/