Covers core questions to assess opportunities for launching new ventures and emphasizes seizing windows of opportunity and charting firm growth options.
Explores equality, diversity, and inclusion in knowledge infrastructures, emphasizing the importance of bibliodiversity and addressing systemic biases in academic knowledge production.
Introduces Bayesian estimation, covering classical versus Bayesian inference, conjugate priors, MCMC methods, and practical examples like temperature estimation and choice modeling.
