There is an excellent post over at EEB & Flow on the empirical divide,inspired by an editorial by David Lindenmayer and Gene Likens in the most recent ESA Bulletin, titled “Losing the Culture of Ecology”. It was great to see some thoughtful and data driven consideration of the idea that we should choose to emphasize one broad area of ecology over another.

Here at Weecology we’re really into open science and that’s why we’re excited to announce our first serious attempt to facilitate open science beyond the confines of our own research – The Ecological Data Wiki. The idea behind this project is simple.

Last month I wandered over to Evolution News and Views (ENV), a Discovery Institute (DI) blog, and read a piece by Casey Luskin on the topic of human/chimp common ancestry. I saw some stuff I didn't like, and left a comment, and an interesting exchange ensued. You can read it yourself, but here are some of my comments. Continue reading...

Three weeks ago, I went to the Cornerstone Music Festival with my two oldest kids. For the second year, I was an invited speaker in the festival's excellent seminar program. This year, my two series were entitled "Alien Worlds" and "Zombies on Jeopardy" – exploring extreme biology and human nature, respectively. It was fun, if a little too hot for a day or so. At one point, I was discussing human intelligence and its genetic underpinnings.

So that’s ISMB over for another year. The worlds computational biologists are now sleeping off their Austrian wine and Sacher Torte hangovers on flights back home, hopefully inspired and brimming with fresh ideas for the next year. On the whole it seemed a productive and positive meeting, and whilst personal perspectives always differ depending on the tracks attended, there did seem to be several recurring themes.

In this era of “big-data” and supposed data-tsunamis, being able to sift through the vast swathes of information and find what you are looking will become more and more important.

We are pretty excited about what modern technology can do for science and in particular the potential for increasingly rapid sharing of, and collaboration on, data and ideas. It’s the big picture that explains why we like to blog, tweet, publish data and code, and we’ve benefited greatly from others who do the same. So, when we saw this great talk by Michael Nielsen about Open Science, we just had to share.

After the launch of the GigScience website last week, and a call for papers this week, it’s now time to start  meeting and talking with potential authors. After a busy batch of conferences hosted by the BGI, including the  first meeting of the Earth Microbiome Project (see the slides and video of our talk) and last weeks Bio-IT APAC

As biological data is now produced faster than it can easily be handled and stored, the dissemination of this data has become a major bottleneck.

Some time ago in academia we realized that it didn’t make sense for individual scientists or even entire departments to maintain their own high performance computing resources.