Report | Jun 30, 2022
The Metaverse in 2040

Experts are split about the likely evolution of a truly immersive “metaverse.” They expect that augmented- and mixed-reality enhancements will become more useful in people’s daily lives. Many worry that current online problems may be magnified if Web3 development is led by those who built today’s dominant web platforms.

Report | Feb 7, 2022
Visions of the Internet in 2035

Asked to "imagine a better world online," experts hope for a ubiquitous – even immersive – digital environment that promotes fact-based knowledge, offers better defense of individuals’ rights, empowers diverse voices and provides tools for technology breakthroughs and collaborations to solve the world’s wicked problems.

Report | Nov 22, 2021
The Future of Digital Spaces and Their Role in Democracy

Many experts say public online spaces will significantly improve by 2035 if reformers, big technology firms, governments and activists tackle the problems created by misinformation, disinformation and toxic discourse. Others expect continuing troubles as digital tools and forums are used to exploit people’s frailties, stoke their rage and drive them apart.

Report | Oct 28, 2019
Shareable quotes from experts about the next 50 years of digital life

In 1969, a team of UCLA graduate students led by professor Leonard Kleinrock connected computer-to-computer with a team at the Stanford Research Institute. It was the first host-to-host communication of ARPANET, the early packet-switching network that was the precursor to today’s multibillion-host internet. Heading into the network’s 50th anniversary, Pew Research Center and Elon University’s […]

Report | Oct 28, 2019
Experts Optimistic About the Next 50 Years of Digital Life

Fifty years after the first computer network was connected, most experts say digital life will mostly change things for the better in coming decades. But they say this will require reforms toward better cooperation and security, basic rights and economic fairness.

Feature | Sep 5, 2019
How does a computer ‘see’ gender?

A computer can be trained to predict whether an image shows a man or a woman. Can you identify which parts of the face are most essential to the computer’s decision?

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