A Scientific Approach to Innovation Management

The first module, "THE INNOVATION DECISION," introduces learners to the strategic efficiency and the scientific approach to innovation management. It covers topics such as risk and uncertainty, problem-framing techniques, and the use of theories and tools in managerial decision-making. Through interactive exercises and real-world examples, learners gain a solid foundation in making strategic innovation decisions.

"THEORY AND DATA FOR INNOVATION MANAGEMENT" explores the application of probabilities, hypothesis testing, and innovation metrics in decision-making. Learners delve into the use of experiments and randomized control trials, gaining practical insights into leveraging data to drive innovation. This module aims to equip learners with the tools to derive hypotheses from theories and make informed decisions based on data-driven evidence.

The third module, "DATA ANALYSIS," delves into correlation versus causality, regression analysis, and the use of data to answer critical questions in innovation management. Real-world interviews and case studies provide learners with valuable insights into using data to test hypotheses and evaluate uncertainty. This module aims to enhance learners' data analysis skills and critical evaluation capabilities in the context of innovation management.

"ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS" introduces learners to advanced approaches such as difference-in-difference methods, instrumental variables, and machine learning for innovation management. This module aims to broaden learners' understanding of causal links, data science, and the limitations of the scientific approach. Through practical examples and theoretical insights, learners develop a deeper appreciation for leveraging advanced tools in innovation management.

The final module, "FINAL PROJECT," provides learners with an opportunity to apply the knowledge and skills acquired throughout the course. It encourages learners to synthesize their understanding of innovation management and demonstrate their ability to make strategic decisions using a scientific approach. The final project allows learners to showcase their innovative insights and practical application of course concepts.