Tyler: Tyler will discuss a recently-submitted paper on cybersecurity for immigrant rights organizations in the Northeast United States, as well as an accompanying cybersecurity workshop the authors are offering based on the study findings.

Jacob: In this talk, I will present a novel method for state data assimilation which extends to scenarios where the remotely sensed data constraints exhibit environmental disturbance - large discrete jumps in the observation time series indicative of forest fires, pest outbreaks, or some other form of disturbance. Unlike the traditional ensemble kalman filter, this method produces multimodal forecast and analysis distributions, allowing it to capture discrete jumps in the observation time series. The method also dynamically updates uncertainty of the ecological process model conditional on observations and disturbance priors.