The outbreak of COVID-19 has substantially accelerated the digitalization of the economy. Yet, this unprecedented growth of digital technology brought novel challenges to the labour market. Rise in income inequalities and precarious working conditions or polarization of jobs. In this essay, we try to assess what tools to use to counter these trends.

This text provides an easy to understand introduction to complexity economics for non-specialist audiences such as bachelor's students.

Pluralism includes mainstream economics. Our campaign for pluralism, including this series, have generally focused on ideas outside the mainstream on the basis that it gets plenty of attention already so we want to spend our time exposing people to alternatives. Nevertheless, mainstream ideas deserve some attention. On top of this, a curious feature of modern economics education is that some of the best ideas from mainstream economics are not even taught to undergraduates! During this series I will explore such ideas, starting today with the market construction technique known as ‘matching’.

An essay of the writing workshop on Nigeria’s Readiness for and the Effect of the Fourth Industrial Revolution

Jason Smith takes a stab at blind faith in the efficiency of the price mechanism to provide market information. To do so, he calls upon Information Theory and Generative Adversarial Networks to argue the price mechanism is faulty and skewed towards supply.

In this new book Smith returns to Solow s classic productivity paradox which essentially states that we can see automation everywhere like the spheres of leisure sociality and politics but not in the productivity statistics He examines why labor saving automation in the service age in the Global North has …

Leigh Phillips and Michal Rozworski examine the apparent contradiction between the demise of real-existing socialism and the rise of large corporations engaging in planning every day, making a strong argument that these planning efforts should be transformed to now fulfil the needs of the people.

In this course you'll learn about the tools used by scientists to understand complex systems. The topics you'll learn about include dynamics, chaos, fractals, information theory, self-organization, agent-based modeling, and networks.