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
This paper maps out the network of alliances and subgroups within the two most powerful cartels in Mexico — the Sinaloa Cartel and the Cártel de Jalisco Nueva Generación — and reveals key structural differences that could have important implications for policymakers.
Nathan P. Jones, Irina Chindea, Daniel Weisz Argomedo, John P. SullivanApril 11, 2022
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
This study analyzes the new legal framework and definitions governing Mexico's energy sector as a result of the constitutional reform, and the implications for the hydrocarbons and electrical sectors.
