As the Covid-19 fueled economic downturn begins to intensify this winter, an extended study of the Italian cooperative sector’s historical resilience in times of crisis can serve as a learning experience for other countries seeking to create policies that foster more stable economies, with job security, care for marginalized communities and adequate counter-cyclical policies. Particularly, the Italian cooperative sector’s contributions to three aspects should be noted in closing. Firstly, the innovative phenomenon of cooperative enterprises has contributed to social inclusion of immigrant communities, the activation of youth, the unemployed and people with disabilities, a true compensation for both a market and state failure. Secondly, they have contributed to a reduction in income and wealth inequalities at a time when the issue of inequality is of global significance. Thirdly, the Italian cooperative movement has helped local communities revitalize in the face of demographic shifts and rendered them more resilient to the ravages of globalization. Each of these in their own right is a remarkable achievement.

Participants should be able to distinguish the strictly non-cooperative (methodological individualist) foundations of traditional neoclassical economics as being couched in self-interested individuals, as well as having basic knowledge of an alternative set of theories based on the primacy cooperation and social norms and extending the breadth of economic analysis beyond exchange.

Sporting events can be seen as controlled, real-world, miniature laboratory environments, approaching the idea of “holding other things equal” when exploring the implications of decisions, incentives, and constraints in a competitive setting (Goff and Tollison 1990, Torgler 2009). Thus, a growing number of studies have used sports data to study decision-making questions that have guided behavioral economics literature.

In a span of around 12 weeks, the course covers a wide range of topics including agent-based modeling, networks, dynamic, chaos, information, fractals, cooperation models and scaling in biology and society. The course acts as a perfect beginner level introduction spanning a wide range of topics in the field of complexity.