Bionetworks, system biology, and superorganisms

Among the novelties characterizing the beginning of the 21st century, the concept of network is dominant. The network was expanded in 3D and is the representation of potential interactions between entities, as many as possible. The network is in continuous change due to internal and external pressures, causing a dynamic complex system. Inside the network we can focus on determinant parts of the system, wherein the rules are the same, but the number of involved subjects can be restricted. In any case, the network’s complexity needs a high level of calculation. Current insect-borne diseases are in-progress events and need innovative solutions. Looking to new solutions, the necessary utilization of AI must be considered decisive, as well as the limits of its reliability. The need for models to understand what is going on is generally accepted, but disagreements arise regarding the reliability of these models to predict the future. This is not only a scientific problem about the applied algorithms, and consequent different obtained scenarios, but the result of the influences of external factors, like political and social pressures. First, it is important to understand how AI is born and why the basis of its modus operandi is similar to human logic. Another important front of novelties drags the nanotechnologies. It is necessary to discriminate between the emerging proposals from nanotechnology, avoiding the usual misuse of potentialities offered by technology. Green nanotechnology is the current best option to be used for control of insect-vectored diseases. A key could be the exploration of an original approach, against the as yet dominant paradigm based on the activity of single substances, like that here reported where nanotechnology was joined with bacterial material. The target included in the weapon.