Cities evolve rapidly while providing both opportunities and posing challenges. To cope with the emerging behaviours of cities, contextual innovations and development are essential. Driving innovations through the learning of contextual knowledge in cities is crucial. In this study, we explore...

In today's ever-changing world, research and innovation (R&I) foresight is more relevant than ever. It helps policymakers make better decisions by thinking towards the future. The interest in R&I foresight has grown at both national and European levels as a response to the challenges we face as...

In this paper, we extend the individual evolutionary learning model by incorporating other-regarding considerations and apply the model to some Cournot games. Using the model fitted to the experimental data of a repeated 3-player Cournot game (with nonlinear cost and demand functions), we...

Do agents believe to be agreeing more with others in the long-run? This paper designs an experiment to study how cognitive abilities affect actual and perceived disagreement in a standard sequential belief updating task with public signals. We document a persistent gap in the perception of...

We introduce Behavioral Learning Equilibria (BLE) into a multivariate linear framework and apply it to New Keynesian DSGE models. In a BLE, boundedly rational agents use simple, but optimal AR(1) forecasting rules whose parameters are consistent with the observed sample mean and autocorrelation...

This research aims to describe the dynamics of applying project-based entrepreneurial learning (PBEL) in creating startups at higher education institutions. Action research was used for eight participants as the research method by applying the PBEL model in the form of a narrative method. The...