Richard Haass, President of the Council on Foreign Relations talks with World of DaaS host Auren Hoffman. Richard previously served as Director of Policy Planning for the US State Department, was President George W. Bush's special envoy to Northern Ireland and Coordinator for the Future of Afghanistan, and is the author of 14 books, most recently of "The World: A Brief Introduction".
Auren and Richard dive into the increasing importance of globalization, the role of data in foreign policy, and the evolution of the US's foreign policy over the last 20 years. They also dive into numerous topics that they've historically debated, including the value of the speech and if we should focus on fixing what's broken or work toward creating a new and better world.
Technology drives many transformations in how humans interact. Yet, very few people working in technology spend time studying the past. Niall Ferguson believes that we would better understand today's burning issues in technology if we thought about them with a historical framework.
Niall Ferguson is the Milbank Family Senior Fellow at the Hoover Institution, a public policy think tank within Stanford University. Niall is also an historian, columnist at Bloomberg, and author of 17 books.
Auren and Niall explore early examples of virality in the 16th and 17th century, data's role in writing and understanding history, and what you shouldn't do if you want to change the world. They also dive into Niall's latest book, Doom, and Niall's concern that society today is limiting the creation of brilliant ideas.
Glen Weyl is Microsoft's Office of the CTO Political Economist & Social Technologist, founder of RadicalXChange, and author of “Radical Markets: Uprooting Capitalism and Democracy for a Just Society”. Glen is reimagining democracy with two revolutionary concepts -- quadratic voting and quadratic funding. Auren and Glen cover how quadratic voting and quadratic funding can revitalize collective decision-making, current applications of both concepts, and how they can be used by corporations. They also explore why accessing high-quality data is so hard and what businesses can do to significantly improve their data accuracy.