This work is a survey of some results on a statistical mechanics approach to the social
sciences emerged in the last two decades. The pioneering work of Daniel McFadden, known …

We study a discrete version of a biaxial nematic liquid crystal model with external fields via
an approach based on the solution of differential identities for the partition function. In the …

We introduce a nonparametric algorithm to learn interaction kernels of mean-field equations
for first-order systems of interacting particles. The data consist of discrete space-time …

Population behavior, like voting and vaccination, depends on the structure of social
networks. This structure can differ depending on behavior type and is typically hidden …

In this work we introduce a multi-species generalization of the Hopfield model for associative
memory, where neurons are divided into groups and both inter-groups and intra-groups pair …

In this paper, we solve the inverse problem for the cubic mean-field Ising model. Starting
from configuration data generated according to the distribution of the model, we reconstruct …

Improving the prevention efficacy of health screening campaigns by increasing their
attendance rate represents a challenge that calls for new strategies. This paper analyzes the …

We introduce a nonparametric algorithm to learn interaction kernels of mean-field equations
for 1st-order systems of interacting particles. The data consist of discrete space-time …

We study a discrete version of a biaxial nematic liquid crystal model with external fields via
an approach based on the solution of differential identities for the partition function. In the …

To promote environmentally sustainable water governance, this study emphasizes the
necessity of aligning institutional structures with ecological scales. The research focused on …