Campi is a co-creator of the scenario approach, which provides solid mathematical foundation to observation-driven decision-making based on consistent rules.

[6][7] The scenario approach has found practical applications across various domains, including control theory,[8] portfolio optimization[9] and statistical classification.

[10] Campi is also the inventor of the Virtual reference Feedback Tuning (VRFT), an approach to design controllers using batches of data collected from a plant.

[11][12] Campi’s conceptualization of inductive reasoning adopts a minimalist stance, comprising solely two components: experience and judgements.

In his approach, complexity[13] assumes the role of a measurable quantity from which the probability of falsification of an inductive conclusion can be accurately estimated.