Search for: "Nicholson Price" Results 121 - 140 of 160
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8 Nov 2010, 4:36 pm by Mandelman
No matter… Ben’s quantitative easing has no shot at fixing either of those things, housing prices or jobs, so woohoo! [read post]
13 Jul 2010, 3:03 pm by David Lat
And even if you look at it as an over-priced lottery ticket, it still beats the alternative. [read post]
2 Oct 2020, 7:10 am by Lisa Larrimore Ouellette
Sherkow, Lisa Larrimore Ouellette, and Nicholson PriceIn recent weeks, a number of articles have reported great concern around the politicization of the approval process for future COVID-19 vaccines. [read post]
30 Mar 2020, 8:40 am by Lisa Larrimore Ouellette
By Lisa Larrimore Ouellette, Nicholson Price, Rachel Sachs, and Jacob SherkowOne of the dizzying stream of innovation and health law stories to emerge last week is Oracle’s partnership with the White House to study unproven pharmaceuticals for treating COVID-19. [read post]
10 Jul 2020, 8:59 am by Lisa Larrimore Ouellette
Sherkow, Lisa Larrimore Ouellette, and Nicholson PricePolicymakers are expectantly awaiting the development of a COVID-19 vaccine, which they view as critical to future management of the pandemic. [read post]
21 Jan 2022, 8:35 am by Lisa Larrimore Ouellette
But garnering enough—at reasonable prices—is often difficult for even the simplest analyses, and a point of antitrust scrutiny. [read post]
22 Jul 2020, 12:12 pm by Lisa Larrimore Ouellette
Sherkow, Lisa Larrimore Ouellette, Nicholson Price, and Rachel SachsOver 120 years ago, a milk wagon horse named Jim was the United States’ most potent weapon against a raging diphtheria epidemic. [read post]
15 Apr 2020, 8:14 am by Lisa Larrimore Ouellette
By Lisa Larrimore Ouellette, Nicholson Price, Rachel Sachs, and Jacob SherkowIt’s now clear that expansive, population-wide testing is part-and-parcel of every successful COVID-19 containment strategy. [read post]
3 Aug 2023, 8:15 am by Rebecca Tushnet
 Matthew Sag, Copyright Safety for Generative AI Not addressing whether training is always fair use in every circumstance; explain how generative AI fits w/in existing law (nonexpressive uses) and identify best practices to make generative AI fairer. [read post]