Suchergebnisse

Brought together by the newly formed Canadian Academy of Health Sciences (CAHS), recognized national leaders in the 6 health sciences disciplines consider the environment for conducting interdisciplinary health research (IDHR) in Canada. Based on first-hand knowledge and thoughtful reflection, the authors argue that although much progress has been made in support of IDHR in Canada, the practical experience of researchers does not always bear this out. This article examines government, industry and academia to identify the cultural and structural characteristics that demand, promote or prevent IDHR in each sector. At its heart is the question, How can universities best support and enhance IDHR, not only for the benefit of science, but also to meet the growing needs of industry and government for intellectual capital?

Whether your interests lie in scientific arenas, the corporate world, or in government, you have certainly heard the praises of big data: Big data will give you new insights, allow you to become more efficient, and/or will solve your problems. While big data has had some outstanding successes, many are now beginning to see that it is not the Silver Bullet that it has been touted to be. Here our main concern is the overall impact of big data; the current manifestation of big data is constructing a Maginot Line in science in the 21st century. Big data is not "lots of data" as a phenomena anymore; The big data paradigm is putting the spirit of the Maginot Line into lots of data. Big data overall is disconnecting researchers and science challenges. We propose No-Boundary Thinking (NBT), applying no-boundary thinking in problem defining to address science challenges.