👉 Growth studies, particularly those involving machine learning and data science, typically inhabit environments such as cloud computing platforms (e.g., AWS, Google Cloud, Azure), data science labs, or dedicated research facilities. These environments provide access to large-scale computational resources, diverse datasets, and specialized tools for data preprocessing, model training, and experimentation. They often support collaborative workflows and integration with big data technologies (e.g., Hadoop, Spark) to handle complex growth-related analyses.