Population Data

Population data research focuses on accurately estimating and interpreting population characteristics, aiming to improve decision-making in areas like public policy and resource allocation. Current research employs diverse methods, including machine learning models (like neural networks and LLMs) to address biases in existing data sources (e.g., location data) and to predict population distributions from satellite imagery and other geographic information. These advancements are crucial for generating reliable population statistics, particularly for underrepresented groups, and have significant implications for various fields, from urban planning and disaster response to public health and economic forecasting.