StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Human crowds can assume various dynamical states: flowing, congested, chaotic, self-organized, etc. The dynamical characteristics impact the safety of the crowd, but predicting what type of pedestrian ...

In today’s post, I’m sharing with you a meticulously curated collection of some of the best math websites and platforms. This list is indeed the result of several updates and feedback from the vibrant ...

Building the future of education together means that, as educators, we need to promote innovation and educational strategies in our classroom to foster the development of skills such as critical ...

The Natural Resources and Environment Ministry has painted a dire picture for the Mekong Delta, saying half of it will go under water if the sea level rises by 100cm. The "2020 version of the climate ...

Fluid–structure interactions are ubiquitous in many natural and man-made environments. They are difficult to study analytically, and therefore accurate and flexible computational methods are an ...

Physics-Informed Neural Networks (PINN) are neural networks encoding the problem governing equations, such as Partial Differential Equations (PDE), as a part of the neural network. PINNs have emerged ...