Two Sigma’s Co-Founder discusses algorithmic investing, self-driving cars, blockchain, education, and more.
How much of a problem is school bullying in New York City? The answer depends on who (and how) you ask.
The Vera Institute of Justice and data scientists from Two Sigma Data Clinic explore why the jail populations of rural U.S. counties are disproportionately high.
Two Sigma Co-founder and Co-chairman David Siegel offers his views on these topics and more at Bloomberg’s Sooner Than You Think conference.
Berkeley’s Professor David E. Culler discusses the future of data science, the “Berkeley view” of the field, and the biggest challenges for data scientists today.
In a comment letter to the CFTC, we explain in detail why intellectual property protections matter and how regulators can help keep vital information secure.
How has the concept of a level competitive playing field changed in an era of relentless innovation? We collaborated with The Economist Intelligence Unit, convening an array of experts from many different backgrounds, to shed light on the rapidly shifting dynamics among businesses, policymakers, and consumers.
Two Sigma co-founder David Siegel argues in the Financial Times that since algorithms outperform people at many tasks, we should shed our biases against them.
Securities transaction (or “Tobin”) taxes clearly impose costs, but they may also create information inefficiencies that give skilled managers an advantage.