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About

About

About

Meet the Director

Regina Joseph is an adjunct instructor in the MS in Global Affairs and a Good Judgment Project Superforecaster.
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The NYU School of Professional Studies (NYUSPS) Center for Global Affairs (CGA) Futures Lab is an initiative that conducts research on and develops and hosts events that delve into cutting-edge predictive innovation and strategic foresight.

Who We Are and What We Do

Anticipating geopolitical events has been a pursuit within defense, economic, diplomatic, and technology sectors ever since the detonation of the first nuclear weapons. Futures research has been conducted primarily by US military and scientific agencies since the Cold War, but has reached a quantitative turning point in the last five years through breakthrough understandings in cognitive science. The NYUSPS CGA Futures Lab is devoted to events, course work, and research that track and promote cutting-edge advances in intelligence analysis, predictive foresight, and strategic technological innovation.

The Futures Lab is led by Regina Joseph, an adjunct faculty member in the international relations/global futures concentration within CGA's MS in Global Affairs (MSGA). She is a Good Judgment Project Superforecaster and a recognized specialist in futures research, transatlantic security affairs, media and telecommunications, and cognitive technologies. The Lab joins students with cross-disciplinary thought leaders to collaborate on innovative concepts for improving foresight in security and diplomatic affairs.

Our Focus

The Futures Lab holds public events, publishes articles and commentaries on strategic foresight and future security research, and supports CGA's mission in developing and disseminating the knowledge and skills needed to address the challenges of the future through the practical education provided by the MS in Global Affairs.

The Futures Lab hosts geopolitical forecasting tournaments, hackathons, and idea sprints and addresses key themes such as:

  • Machine learning including artificial intelligence and neural networks, cognitive computing, and algorithmic accountability
  • Decision science including cognitive biases and decision-making
  • Open source indicators and misinformation
  • Mega-crises and catastrophic event forecasting including disaster resilience and mitigation strategy