Can we apply the techniques of crowd-forecasting for better cybersecurity?
Mary Brooks is a fellow for the Cybersecurity and Emerging Threats team at R Street. Her areas of focus include securing 5G and ICT infrastructure, technology and human rights, and how public audiences understand cyber power and security. Most recently, she was the lead researcher and associate producer for The Perfect Weapon (2020), an HBO documentary that explores the rise of cyber conflict as a key feature of modern inter-state competition. Prior to that, she served as the special assistant for a DC-based international human rights law firm dedicated to freeing political prisoners. She graduated cum laude from Harvard University with a bachelor’s degree in government and a language certificate in Arabic.
Subscribe to this Lawfare contributor via RSS.
To make progress on supply chain security, the U.S. government will need to clarify its goals; create a cohesive, forward-thinking strategy; and offer alternatives to a cold divestment of Chinese ICT products.
Prediction markets and other geopolitical forecasting methods are the stuff of science, finance, and statistics, not fantasy. Yet decision-makers in the U.S. government, except for the intelligence community, have yet to embrace experimentation with these types of markets.
Over a month after the insurrection, the significance of the cybersecurity-related damage remains unknown. Congress should take this moment as an opportunity to shore up the Capitol's digital systems.