Scavenger Hunt

One of the perks of blogging at ScienceBlogs is that our overlords send us free copies of Seed magazine. In fact, Seed loves me so much that they send me two free copies of every issue, even though I've asked them to stop. This is an especially interesting issue, with profiles of global science funding and education, a survey of 1000 scientists, and an interview with Craig Venter. So, what to do with the second copy? One for upstairs and one for down? Wait, I've got a better idea...I'll send it to a blog reader.

But who to send it to? I know, I'll do a scavenger hunt. Below the fold, I've taken 3 quotes from posts included in the December Scientiae. First person to identify the quotes in the comments will get my extra copy of Seed, along with some artwork from Minnow.

#1 is something I think is so cool and underappreciated:

My current work is largely built around testing some of the assumptions which have underpinned developments in my field since the 1960s; assumptions which, when you track the papertrail to the source, are clearly back-of-the-envelope ideas, conceptual graphs with axes labelled 'small' and 'large', or based on one or two data points and some (field-grounded) intuition. That is, they are assumptions, starting points for exploration. Yet a great deal has been built on them over the last 40-50 years... including some stellar careers...

#2 describes me pretty well:

I'm one of those people who knows a little about a lot. I'm also one of those people who loves getting stuck into a pile of papers and a huge file of data and finding connections and results. I enjoy crafting a piece of writing that communicates those results.

#3 just sounds completely awesome:

If you are going to simulate the climate, the super novae, a folding protein, Rayleigh-Taylor instability, earthquakes, melting ice caps, or what have you, you will want to talk to me (or better yet, hire me ;). It is my pleasure to help you get your science humming on the biggest and greatest computers you have access to, and help you get the most out of your computational resources.