Nature’s cultural blindspot

Yours truly on the Ronin Institute blog

A recent editorial in NatureYoung scientists thrive in life after academia” on the future of careers for today’s scientists is on one hand, both optimistic, but on the other, deeply unsatisfying. The editorial is clearly well-intentioned, providing what it sees as a hope for a generation of new scientists facing the worse funding climate and academic job market in decades. I agree with the editors that it is encouraging that people with PhDs and long periods of training are finding gainful employment.

However the editorial has what might be called a cultural blindspot: the default assumption that doing research science is largely an activity that one undertakes only within a specific set of jobs performed in specific institutions and once you’re out of those institutions, there’s both no way to continue, nor any way back.  Of those who moved out of academic positions:

Many had managed to stay in touch with science, and worked in a related function such as administration, outreach or publishing.

This seems to me to be disempowering: the best one can hope for is “to stay in touch with science”[1]. Is this really the most we can do for those who have spent many years acquiring skill and knowledge of a subject? Is doing science really like a step function: all or nothing? To be fair, the editorial doesn’t say this, but that’s how I read the subtext.

Read more on the Ronin Institute blog post….

Quantifying cost-effectiveness of scientific cloud computing in genomics and beyond

Biosystems Analytics

On-demand computing, often known as “cloud computing” provides access to the computing power of a large data center without having to maintain an in-house high performance computing (HPC) cluster, with attendent management and maintenance costs.  As even the most casual observers of the tech world will know, cloud computing is growing in any many sectors of the economy, including scientific research.  Cheap “computing as a utility” has the potential to bring many large-scale analyses within reach of smaller organizations that may lack the means or infrastructure to run a traditional HPC.  These organizations or individuals could include smaller clinics, hospitals, colleges, non-profit organizations and even individual independent researchers or groups of researchers.  But beyond the industry enthusiasm, how much can cloud computing really help enable low-cost scientific analyses?

There is now a veritable smorgasbord of offerings from many different vendors, but the big players are Amazon…

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