The Cognitive Systems and Time Series (CoTS) research group explores the relationship between human cognition and analyzing time-dependent data. Cognitive systems refer to developing computational models and algorithms that mimic human cognitive processes such as perception, learning, reasoning, and decision-making. Moreover, time-series research analyses data collected over time to uncover patterns, trends, and dependencies. We integrate cognitive models with time series methods to analyze and interpret complex temporal data to make sense of complex time series data, leading to improved decision-making, forecasting, and understanding of dynamic processes in various domains.