Aboud Barsekh-Onji
Biographic Data
| ID | 8832900 |
|---|---|
| NAME | Aboud Barsekh-Onji |
| GIVEN NAMES | Aboud |
| FAMILY NAME | Barsekh-Onji |
| SIGNATURE | BARSEKH-ONJI A |
| AFFILIATIONS | Universidad Anáhuac |
| ORCID | 0009-0004-5440-8092 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Algorithmic Bureaucrat
The transition from e-Government to Intelligent Governance promises to dismantle systemic corruption by replacing human discretion with algorithmic objectivity, yet empirical validation remains scarce given data opacity. Using Agent-Based Modeling (ABM) calibrated with confidential micro-data from a Mexican public agency, this quasi-experimental study simulates the structural impact of Artificial Intelligence (AI) on clientelist networks. The fra…
Barreras transitivas a los vehículos eléctricos en México
The transition to electric vehicles (EVs) in emerging economies like Mexico is hindered by significant barriers. This research models these transitional barriers using a multilayer Feedforward Artificial Neural Network (ANN). Methodologically, the study deviates from traditional normalization by implementing Entity Embeddings to correctly handle the ordinal data from a survey of 160 transportation experts. The model's architecture (10 hidden laye…
No prominent works on this page.
The Algorithmic Bureaucrat
The transition from e-Government to Intelligent Governance promises to dismantle systemic corruption by replacing human discretion with algorithmic objectivity, yet empirical validation remains scarce given data opacity. Using Agent-Based Modeling (ABM) calibrated with confidential micro-data from a Mexican public agency, this quasi-experimental study simulates the structural impact of Artificial Intelligence (AI) on clientelist networks. The fra…
Barreras transitivas a los vehículos eléctricos en México
The transition to electric vehicles (EVs) in emerging economies like Mexico is hindered by significant barriers. This research models these transitional barriers using a multilayer Feedforward Artificial Neural Network (ANN). Methodologically, the study deviates from traditional normalization by implementing Entity Embeddings to correctly handle the ordinal data from a survey of 160 transportation experts. The model's architecture (10 hidden laye…
algorithmic decision-making (1 work) · artificial intelligence in auditing (1 work) · artificial intelligence in governance (1 work) · Artificial neural network (1 work) · Auction Theory and Applications (1 work) · Autonomy (1 work) · bribery (1 work) · Clientelism (1 work) · Corruption (1 work) · cost overruns (1 work)