WASHINGTON—Following the European Commission’s unveiling of a “New Industrial Strategy for Europe,” the Information Technology and Innovation Foundation (ITIF), the leading think and for science and technology policy, today released the following statement from ITIF President Robert D. Atkinson:
The growth of artificial intelligence has stoked fears that industries beyond manufacturing could be significantly automated. This underscores the need to study the evidence about modern automation, especially because the facts frequently contradict common concerns.
Germany implemented a minimum wage of €8.50 in 2015, impacting 15 percent of the country’s workers. A new study puts to rest concerns that the wage increases would kill jobs, showing that the policy had no impact on the unemployment rate of low-income workers.
A natural experiment in the United Kingdom found that giving a generous R&D tax credit to small and medium-sized enterprises has a significant effect on both research spending and patents, and these advantages have spilled over to technologically related firms.
The Center for Data Innovation has submitted comments in response to the public consultation of the European Commission, which is gathering feedback to inform its gender equality strategy 2020-2024.
ITIF’s Center for Data Innovation hosted a discussion exploring the future of AI-enabled manufacturing, and what European policymakers should do to help Europe thrive.
By the end of the Cold War, West Germany’s productivity was 3.6 times larger than East Germany’s. Utilizing the complete set of industrial information provided to East Germany between 1970 and 1989 by informants in West Germany, researchers have estimated that East Germany’s productivity would have been 10.3 percent lower in 1989 without this espionage.
ITIF hosted an expert panel discussion featuring European Commission, Deputy Director-General for Research and Innovation, Signe Ratso, on the thinking and inspiration behind the European Innovation Council, how it will work in practice, and how it is expected to change the face of European innovation over the next decade.
The eCommerce Directive—a critical building block of the EU’s digital economy—is in need of modernization, but updates should continue to remove obstacles to online commerce and provide legal certainty to businesses and citizens.
The has been a growing disparity across the globe between the governments that are choosing to prioritize innovation and those that aren’t. Recent analysis reflects this, comparing the growth of public R&D funding between 2008 and 2016 across eight major countries.
The early designers of the Internet quickly realized that as the number of domain names flourished, there was a need for tracking domain name owners to resolve questions and conflicts that might arise. To that end, they created WHOIS, a public database with the names, phone numbers, email addresses, and mailing addresses of registered domain owners and operators.
Automation boosts labor productivity, which is key to long-run economic growth. A new study examines the impact of automation on labor productivity in nine manufacturing industries across 12 European countries from 1995 to 2005, comparing the number of robots in use in an industry with the amount it invests in non-ICT capital.
Europe must harness the power of digital innovation not just to increase economic growth and expand prosperity, but also to address important societal challenges related to the environment, public health, transportation, and other pressing concerns.
ITIF's Center for Data Innovation in Brussels hosted and event that discussed how the EU should modernize the eCommerce Directive so as to protect consumers without unnecessarily hindering innovation.
The UK currently has many advantages in developing and using AI, but as Michael McLaughlin writes for SC Magazine, it will fall behind if it doesn’t take the right steps to secure its AI leadership.
R&D tax incentives are key to fostering innovation, effectively providing needed public support for research without sacrificing private-sector market incentives. According to a new report by the OECD, the United States is well behind much of the rest of the world in this respect.
In an op-ed for New Europe, Eline Chivot writes that AI can actually help reduce gender bias and improve social fairness in Europe.
Stephen Ezell presented about globalization trends and what Europe must do to turbocharge its digital economy at an event hosted by the Spanish think tank Cercle d’ Economia on October 25, 2019.
Discussions about job losses from automation tend to assume that innovation will overwhelmingly displace low-skill workers. But this view is misguided because it fails to recognize that low-skill jobs are the least profitable for companies to make obsolete.
ITIF's Center for Data Innovation released a new report exploring opportunities to accelerate data-driven innovation in drug development and hosted a panel discussion about the ways data can make drug development faster, more efficient, and lead to new cures.
France’s digital services tax, which other nations also are considering, represents a radical departure from current practice and would greatly complicate ongoing efforts by the OECD to negotiate changes to the international tax regime by 2020.
The United States leads the race for global advantage in artificial intelligence, at least for the time being, with China coming in second and the EU lagging behind. But China is poised to challenge U.S. dominance in coming years as it undertakes bold AI initiatives.
Daniel Castro writes for Euronews, Europe will be left behind in AI if it focuses on ethics rather than developing the best technology.
As Eline Chivot writes for The Local, the German state house decision to ban Microsoft’s Office 365 software is an example of how overly restrictive privacy laws can leave European consumers worse off by making valuable technology off limits.
The UK can simultaneously promote data-driven innovations for all, develop the types of skills required for the digital economy, support the private sector’s use of data to increase productivity, and improve public services through appropriate sharing and use of data within government, as well as between government and the private sector.