After World War II, collaboration became a defin-ing feature of ‘big science’ (Bordons & Gomez, 2000;Cronin, 1995, pp. 4 –13; Katz & Martin, 1997).
collaboration becomes a defining feature of "big science" after the war.
After World War II, collaboration became a defin-ing feature of ‘big science’ (Bordons & Gomez, 2000;Cronin, 1995, pp. 4 –13; Katz & Martin, 1997).
collaboration becomes a defining feature of "big science" after the war.
Don’t let proprietary podcast platforms convince you that we need them.
that doesn't mean the drugs can't be immensely profitable. Treanda is an orphan drug but also Teva's second-best seller, racking up $740 million in sales last year, according to Teva's annual report.
Isn't the whole point of an orphan drug classification that of limited commercial viability? So if they're not commercially viable how are they profitable?
We should have control of the algorithms and data that guide our experiences online, and increasingly offline. Under our guidance, they can be powerful personal assistants.
Big business has been very militant about protecting their "intellectual property". Yet they regard every detail of our personal lives as theirs to collect and sell at whim. What a bunch of little darlings they are.
The New Politics of Educational Data
Sanders: What I foresee is a stronger national economy. And, in fact, a stronger economy in New York State, as well. What I foresee is a financial system which actually makes affordable loans to small and medium-size businesses. Does not live as an island onto themselves concerned about their own profits. And, in fact, creating incredibly complicated financial tools, which have led us into the worst economic recession in the modern history of the United States.
How does the economy get stronger if more people lose their jobs after this breakup? Has he studied the Bell/Baby Bells divestiture?
Ranty Blog Post about Big Data, Learning Analytics, & Higher Ed
As Big-Data Companies Come to Teaching, a Pioneer Issues a Warning
50 Years of Data Science, David Donoho<br> 2015, 41 pages
This paper reviews some ingredients of the current "Data Science moment", including recent commentary about data science in the popular media, and about how/whether Data Science is really different from Statistics.
The now-contemplated field of Data Science amounts to a superset of the fields of statistics and machine learning which adds some technology for 'scaling up' to 'big data'.
Matthew S. MacLennan
I am the author of this paragraph. I am also one of the scientists doing the metabolomic studies. I am in collaboration with many others in this project.
The idea was to pinpoint the doctors prescribing the most pain medication and target them for the company’s marketing onslaught. That the databases couldn’t distinguish between doctors who were prescribing more pain meds because they were seeing more patients with chronic pain or were simply looser with their signatures didn’t matter to Purdue.
Shared information
The “social”, with an embedded emphasis on the data part of knowledge building and a nod to solidarity. Cloud computing does go well with collaboration and spelling out the difference can help lift some confusion.
Big data to knowledge (BD2K)
would like to know more about this term and HHS inititiative
the critical role that big data open source projects play in the Internet of Things (IoT).
you’d sound like a pompous jackass.
Holy, leaping jehosaphats of hyperbole, Batman. He's so hyperbolic he's asymptotic. Yeah. I said it.