First Registered Reports for the Reproducibility Project: Cancer Biology are published

December 17, 2014 | Posted by Reproducibility Project Core Team in Reproducibility |

We’re excited to announce that our introductory article and the first three of our Registered Reports have been published by our partner eLife.

In “An open investigation of the reproducibility of cancer biology research”, the Reproducibility Project: Cancer Biology core team details the impetus for and the specific goals of the project:

“The resulting open methodology and dataset will provide evidence about the reproducibility of high-impact results, and an opportunity to identify predictors of reproducibility” (1).

The first three Registered Reports are:

In addition, Sean Morrison, director of the Children’s Medical Institute at the University of Texas–Southwestern and a senior editor at eLife, has written an editorial introducing the Reproducibility Project: Cancer Biology, highlighting the role this project could play in beginning to reform scientific discovery methods to maximize reproducibility. He notes that:

“to be responsible stewards of the public’s investment in this work we have to maximize the pace of discovery and the efficiency with which discoveries get translated to the benefit of patients. By gauging the fraction of high-impact results that are not reproducible, we can consider what further steps should be taken to promote good science….[M]easuring the magnitude of the problem with efforts like the Reproducibility Project: Cancer Biology is an important step in the right direction” (2).

You can find all five articles on eLife’s website: http://elifesciences.org/collections/reproducibility-project-cancer-biology Read the rest of this entry »

Lab Profile: Ries Robinson from Medici Technologies

December 4, 2014 | Posted by Tess Mayall in Lab Profiles |

medici primary color rgbRecently I spoke with Ries Robinson from our lab Medici Technologies. Everything about Medici Technologies is captivating, from the story behind their unique name to their interesting approach to data analysis. Check out more on their specialized approach below!

Q: What is Medici Technologies’ specialty? 

Ries: We analyze data for groups or companies that have data that is so complex that it exceeds their resources. We are a consulting firm that provides expertise in data analysis.

Q: Why did you choose Medici as your name?

Ries: The Medici Effect is the idea that significant breakthroughs in innovation and technology often occur when you cross-pollinate fields. It stems from the Renaissance. For example, a Renaissance family would make the plumber work with the weaver, or someone with a different skill set, and that’s part of what initiated the Renaissance movement.

A lot of what we do is pull different ideas or algorithms from different places. Historically, we’ve worked on complex data analysis of optical signals for measuring chemicals or analytes in the body, but some of our greatest breakthroughs have been by taking algorithms from non-traditional sectors. For example, we can utilize song recognition and gesture recognition tools to classify tissue types. Utilizing methods developed in other applications has been extremely beneficial. Read the rest of this entry »

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