Touitou Mohammed
Biographic Data
| ID | 4639692 |
|---|---|
| NAME | Touitou Mohammed |
| GIVEN NAMES | Touitou |
| FAMILY NAME | Mohammed |
| SIGNATURE | MOHAMMED T |
| AFFILIATIONS | University of Algiers 3 |
| ORCID | 0000-0002-4442-7888 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Algorithmic credit allocation and the rise of financial inequality
Algorithmic credit systems used by fintech platforms are increasingly transforming access to financial services across the United States. While machine learning–driven models improve credit availability, they also raise concerns about fairness, transparency, and structural bias. This study presents a hybrid empirical framework—combining causal inference techniques with explainable AI audits—to evaluate the distributional impacts of fintech lendin…
Digitalization and economic growth in the Mena region
Spatial disparity and inequality of education domain in Algeria
Purpose Despite significant progress in schooling, social and spatial inequalities in access to education remain important in Algeria. In the present article, taking into account the geographic dimension makes it possible to identify the links existing between spatial location and disparities in the field of education in Algeria. Also, three types of education indicators (quantity, quality and inequality) are used in the study. The study’s sample…
Spatial disparity and inequality of education domain in Algeria
Purpose Despite significant progress in schooling, social and spatial inequalities in access to education remain important in Algeria. In the present article, taking into account the geographic dimension makes it possible to identify the links existing between spatial location and disparities in the field of education in Algeria. Also, three types of education indicators (quantity, quality and inequality) are used in the study. The study’s sample…
Algorithmic credit allocation and the rise of financial inequality
Algorithmic credit systems used by fintech platforms are increasingly transforming access to financial services across the United States. While machine learning–driven models improve credit availability, they also raise concerns about fairness, transparency, and structural bias. This study presents a hybrid empirical framework—combining causal inference techniques with explainable AI audits—to evaluate the distributional impacts of fintech lendin…
Digitalization and economic growth in the Mena region
Econometrics (2 works) · Economics (2 works) · Census (1 work) · Computer Science (1 work) · Demographic economics (1 work) · Demography (1 work) · Development economics (1 work) · Economic growth (1 work) · Economic Growth and Productivity (1 work) · Fiscal Policy and Economic Growth (1 work)