NatureTech
Welcome to Nature Research Tech, our home for life-science technology coverage from across Nature Research.
Here, we spotlight the technology behind the science, allowing the materials, methods, and instrumentation that make science possible to take center stage. Our goal: to provide current and need-to-know information that scientists can implement in their own labs.
Nature technology editor Jeffrey Perkel also blogs regularly about new scientific tools at Naturejobs; you can access his posts here. Nature Methods' technology editor Vivien Marx and the Nature Methods team blog at Methagora.
In early 2019, we are dedicating a six-episode arc of the Nature Careers Working Scientist podcast series to technology. Interviews by Julie Gould, with commentary by Nature Technology editor Jeffrey Perkel.
Episode 6: Talking about a technological revolution in the lab (9 May 2019)
The "chemputer" and other technologies are set to revolutionise academic chemistry for the first time in 200 years, Lee Cronin tells Julie Gould. Listen here.
Episode 5: Slack, and other technologies that are transforming lab life (1 May 2019)
Research group leader Ben Britton tells Julie Gould about Slack as a communication, collaboration and lab management tool. Listen here.
Episode 4: How technology can help solve science's reproducibility crisis (25 April 2019)
Machine learning and data management skills can raise your scientific profile and open up career opportunities, Julie Gould discovers. Listen here.
Episode 3: Love science, loathe coding? Research software engineers to the rescue (17 April 2019)
Simon Hettrick talks about research software engineers, while Harriet Alexander talks about Software Carpentry. Listen here.
Episode 2: Learn to code to boost your research career (11 April 2019)
Jess Hedge, Jeffrey Perkel, and Brian MacNamee join Julie Gould to discuss coding and computational reproducibility. Listen here.
Episode 1: Why universities are failing to embrace AI (3 April 2019)
Mark Dodgson and Lee Cronin discuss the revolutionary potential of artificial intelligence on university teaching, research, and scientific careers. Listen here.
