This paper builds on social network analysis (SNA) and the use of node similarity-based algorithms to make link predictions about Mexico’s network of criminal organizations.
Oscar Contreras Velasco, Nathan P. Jones, Daniel Weisz Argomedo, John P. Sullivan, Chris CallaghanAugust 30, 2023
In this study, the authors surveyed students in 80 Harris County schools, as well as their parents, to identify external factors that influence academic performance, particularly among students living in poverty. Their findings can be broadly used to better understand the unmet needs of students under current systems of support, and to develop solutions that can give every child an opportunity to succeed.
Quianta Moore, Christopher F. Kulesza, Hannah Bablak, Selena GuoSeptember 11, 2020
By: Lourdes Ampudia Rueda, Visiting Scholar, Baker Institute Mexico Center
In this research paper, the author explores public policy issues related to the increasing elite involvement in urban development and privatization in Ciudad Juárez, Mexico.
https://doi.org/10.25613/ayg5-qp17