“Even if you think you should be taxing richer firms, don’t do it on a size basis,” Rob Atkinson told Christian Science Monitor.
June 11, 2018
National Review notes an ITIF report ranking countries on their mercantilism. China is far and away the worst offender — Canada and Germany are pikers by comparison.
June 8, 2018
“High-performance computing is absolutely essential for a country’s national security, economic competitiveness, and ability to take on scientific challenges,” Stephen Ezell told Wired.
June 7, 2018
"For all the noise around energy policy in this administration, the science and technology agenda appears to be churning forward," David Hart told E&E News.
June 7, 2018
ITIF President Rob Atkinson said it was likely a deal would emerge to roll back the U.S. penalties. But he said the deal could expect some opposition from Capitol Hill. “Congress is mad at the Trump administration for an enormous number of things. This is just one more of them,” he told The Hill. But he added: “I don’t see the Trump administration caving on this.”
June 5, 2018
For America’s most innovative companies, China “is a giant threat,” ITIF President Robert Atkinson told Bloomberg. Without a public-private U.S. strategy, “in 10 to 20 years we will have a much hollowed out advanced industry sector.”
June 4, 2018
DBusiness Magazine notes that an ITIF report has found the rate of growth for business R&D investment as a share of GDP has been lagging. In order for the United States’ innovation economy to remain strong, the report recommends the country enact more robust policies to support business and federal R&D.
May 25, 2018
The AFP notes that ITIF's Daniel Castro called GDPR "a confusing and impractical set of rules" that offers consumers little benefit. "Instead of hiring engineers, companies are hiring privacy lawyers," Castro said in a blog post with Alan McQuinn.
May 22, 2018
"I worry about how fragmented some of these policies are towards these Chinese telecom suppliers," Doug Brake told the Washington Examiner. "This administration has identified a target very broadly, and there's an awful lot of action among various agencies to go after these suppliers, so we end up with a scattershot approach."
May 22, 2018
“For an algorithmic model to be transparent to a human, even a human with a fairly good understanding of algorithms, it needs to be kept within a certain level of complexity,” Nick Wallace told Bloomberg News. “The more abstractions you have, let alone the more data points, the harder it’s going to be for any human being to sit down, read through all of it and scrutinize the decision.”