The Sustainability and Data Sciences Laboratory (SDS Lab) at Northeastern University develops novel insights into the interdisciplinary sciences of climate extremes and the engineering principles of networked lifelines to inform adaptation and policy. Physics-integrated spatiotemporal machine learning and nonlinear dynamics, especially from large-scale numerical model simulations and remote or in-situ sensor data, enable the discovery of new insights into climate extremes and uncertainty, while network sciences and optimization along with engineering or ecological principles aid in understanding infrastructural or ecosystem vulnerability. Decision sciences and policy imperatives are integrated into the scientific discovery and technological invention processes to embed stakeholder perspectives.

In this video doctoral student Jack Watson talks about several of the research areas the SDS Lab is focused on.