Many natural and artificial systems of interest are complex in nature: consisting of many agents which interact non-linearly to produce phenomena that is characteristic of the collective. Since, the connections between the agents and the observed collective phenomena are non-trivial, understanding or engineering these systems becomes a challenge. In this talk, I discuss the recent work done in our group where we try to understand and explain the observed group-level features from the structure of the underlying interaction networks. I will briefly discuss examples from droplet-flows in microchannels, where stability of an emulsion is a function of how droplets are organised. Then, from biology where cohesive motion emerges when groups interact to form well-connected networks. Lastly, in more detail, I will present our findings on how the knowledge of the underlying interaction network is essential in making better inferences (from data) about the agents in a collective.
Zoom link: https://icts-res-in.zoom.us/j/83991751556?pwd=bG9YYkdLekdqUFRyYi9oNHM5a0tFdz09
Meeting ID: 839 9175 1556
Passcode: 007211