Online lecture by Dr. Stefano Rizzo, Dr. Mohamad Saad, Dr. Sanjay Chawla.
This is the fourth lecture in the series "AI and Data Science for COVID-19 Data" lecture series by the Qatar Center for Artificial Intelligence.

Epidemiological models are compartmental models that simulate the evolution of infectious disease outbreaks. The results of an epidemic simulation strictly depend on the model’s parameters; biological and others related to demographics and lifestyle.

This lecture will introduce the simplest compartmental models. It will also show how it is possible to extend the traditional SIR model, with the final aim of simulating outbreak scenarios under different policies and country’s specifics.

For over 10 years, the academic and public health sectors have promoted "violence prevention" non-profits as the "evidence based" alternative to mass incarceration and a solution to the shootings plauging American cities.

With the Biden administration set to invest 4 billion dollars in "violence prevention", some fear these services represent a co-option of grassroots anti violence work and an attempt to cash in the public's anxieties around street crime, using the #DefundThePolice movement to strengthen the nonprofit industrial complex.

In this talk, LBS Director of Research Lawrence Grandpre will violence prevention as an example of the need for emancipatory, African Centered research. He'll be diving into the literature to display the limitations in Eurocentric public health methodologies of violence prevention and the need for African centered alternatives.