Socio-Ecological Systems (SES)

As the first decentralized digital currency introduced in 2009 together with the
blockchain, Bitcoin offers new opportunities both for developed and developing
countries. Bitcoin peer-to-peer transactions are independent of the banking
system, thus facilitating foreign exchanges with low transaction fees such as
remittances, with a high degree of anonymity. These opportunities together with
other key factors led the Bitcoin to become extremely popular and made its price
skyrocket during 2017.

The goal of this paper is to use the comparison the network structure present in two broad classes of dark networks to understand how the nexus between crime an terrorism modes of action. Those dedicated to purely criminal activity and those that also include a dominant terrorist component. While both can be correctly classified as entities to which the continued existence depends on secrecy, corruption or coercion, a key difference encompasses their ultimate targets.

Predicting countries’ growth is an extremely challenging and important part of macro economy. Current models for GDP forecasting are complex and involve the combination of many different variables often gathered from different institution. The paradigm “more data more information” in the era of Big Data has to be carefully considered, in fact it is not always true. It is indeed unclear how pollution, transport, population etc, should be combined in a forecasting model and a high dimensional space often leads to results hard to understand. We propose a different approach.

We investigate critical multi-level links between oceanographic change and equitable outcomes in the Mexican Humboldt squid fishery. The local fisheries authorities aim to increase economic benefits from the fishery through market interventions. Therefore we conceptualize empirically observed social-ecological dynamics at multiple levels in the squid fishery in a modeling framework to test these interventions (BEM+). We compare equity and fishery outcomes of our model to a standard bioeconomic model underlying decision making in fisheries management during oceanographic change (BEM).

Evolution and propagation of the world’s languages is a complex phenomenon, driven, to a
large extent, by social interactions. Multilingual society can be seen as a system of interacting
agents, where the interaction leads to a modification of the language spoken by the individuals. Two people can reach the state of full linguistic compatibility due to the positive interactions,
like transfer of loanwords. But, on the other hand, if they speak entirely different languages,

The behavior of social insects constitutes beautiful examples of adaptive collective dynamics born out of apparent purposeless individual behavior [1]. The richness of the phenomena offers plenty of opportunities to test theories dedicated to understand fascinating aspects of collective behavior.