A blog post from Philip B. Stark, Associate Dean of the Division of Mathematical and Physical Sciences, UC Berkeley Professor of Statistics, and winner of one of BITSS’ Leamer-Rosenthal Prizes for Open Social Science. This post discuss the core elements of reproducibility; its principles and practices.
Elemental Machines, which develops smart laboratory technology, launched a new suite of tools that that measure environmental variables such as temperature and humidity—both of which are not traditionally accounted for in scientific experiments. By “debugging” the lab environment, the company believes it can improve experimental reproducibility, therefore reducing the time and cost of marketing new drugs and therapies. Elemental Machines recently raised $2.5 million in seed capital to support the development of the new suite of tools, which is called the EM Suite.
Adam Marcus, cofounder of Retraction Watch and the Center for Scientific Integrity, will give a free lecture about issues in scholarly science publishing at 4 p.m. Friday, Feb. 19, in 103 Reid Hall at Montana State University.
Elemental Machines, a venture based in Boston and San Francisco, has come out of stealth mode. The startup says it's raised $2.5 million in seed from investors including Founders Fund’s FF Angel, PayPal co-founder Max Levchin and Project 11 Ventures. And now it’s ready to change the way our world does science, providing the infrastructure that will ensure experiment reproducibility for researchers.
Mistakes in peer-reviewed papers are easy to find but hard to fix, report David B. Allison and colleagues: "In the course of assembling weekly lists of articles in our field, we began noticing more peer-reviewed articles containing what we call substantial or invalidating errors. These involve factual mistakes or veer substantially from clearly accepted procedures in ways that, if corrected, might alter a paper's conclusions."
The Summit will also introduce GBSI’s Reproducibility2020, an action plan for the biomedical research community to significantly improve the quality of research by 2020 targeting: 1) improved validation and standardization of biological reagents; 2) better tools and technologies to expand open access for reporting and sharing protocols and data; and 3) increased training that emphasizes rigorous study design and practice.