Data driven research refers to the practice of using large datasets, often coupled with machine learning algorithms, to extract meaningful insights and make informed decisions. In the context of catalysis, this involves analyzing experimental data, computational chemistry results, and literature to identify trends and predict the behavior of catalysts.
