rOpenSci Introducing the 2018 rOpenSci Research Fellows!

@machinelearnbot 

Since our inception, one of the mechanisms through which we have supported the community is by developing high-quality open source tools that lower barriers to working with scientific data. Equally important to our mission is to build capacity and promote researchers who are engaged in such practices within their disciplinary communities. This fellowship program is a unique opportunity for us to enable such individuals to have a bigger voice in their communities. This year, a diverse committee (comprised of Di Cook, Mine Cetinkaya-Rundel, Matt Jones, Ken Benoit and myself) reviewed 64 applications from researchers in various disciplines to select four winners. Emerging from this impressive pool of applicants are four outstanding researchers who constitute the 2018 Fellows.

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