Jordi Solé
Biographic Data
| ID | 3915834 |
|---|---|
| NAME | Jordi Solé |
| GIVEN NAMES | Jordi |
| FAMILY NAME | Solé |
| SIGNATURE | SOLE J |
| AFFILIATIONS | Universitat de Barcelona |
| ORCID | 0000-0002-2371-1652 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 26 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Predictive modeling of severe weather impact on individuals and populations using Machine Learning
In this work, Machine Learning (ML) techniques are used to develop tools capable of accurately predicting the impact of severe weather events. We use readily accessible predictors, including daily meteorological data, basic demographics, geographic and terrain features, along with the number of daily meteorological incidents reported to the emergency services. The model was built using dissaggregated data from the 947 municipalities from the regi…
Visions before models
Secondary School Teachers' Views of Gender Differences in School Achievement and Study Choices in Spain
This study examines Spanish secondary school teachers' views of gender differences in academic achievement and study choices. Thirty-six secondary school teachers participated in semi-structured interviews. Most teachers acknowledged that girls had better school performance, particularly in reading comprehension. Some were also acquainted with a higher predisposition to underachieve in boys. However, the teachers used different biology-centered a…
Discard ban
End of growth and the structural instability of capitalism—From capitalism to a Symbiotic Economy
Immigration and self-reported health status by social class and gender
OBJECTIVE: Spain and Catalonia have experienced several immigration waves over the last century. The goal of this study was to examine the role of social class and its mediating pathways (ie, work organisation, material deprivation at home and household labour) in the association between migration status and health, as well as whether these associations were modified by social class or gender. SETTING: Barcelona city, Spain. DESIGN AND PARTICIPAN…
End of growth and the structural instability of capitalism—From capitalism to a Symbiotic Economy
Immigration and self-reported health status by social class and gender
OBJECTIVE: Spain and Catalonia have experienced several immigration waves over the last century. The goal of this study was to examine the role of social class and its mediating pathways (ie, work organisation, material deprivation at home and household labour) in the association between migration status and health, as well as whether these associations were modified by social class or gender. SETTING: Barcelona city, Spain. DESIGN AND PARTICIPAN…
Immigration and self-reported health status by social class and gender
OBJECTIVE: Spain and Catalonia have experienced several immigration waves over the last century. The goal of this study was to examine the role of social class and its mediating pathways (ie, work organisation, material deprivation at home and household labour) in the association between migration status and health, as well as whether these associations were modified by social class or gender. SETTING: Barcelona city, Spain. DESIGN AND PARTICIPAN…
End of growth and the structural instability of capitalism—From capitalism to a Symbiotic Economy
Discard ban
Secondary School Teachers' Views of Gender Differences in School Achievement and Study Choices in Spain
This study examines Spanish secondary school teachers' views of gender differences in academic achievement and study choices. Thirty-six secondary school teachers participated in semi-structured interviews. Most teachers acknowledged that girls had better school performance, particularly in reading comprehension. Some were also acquainted with a higher predisposition to underachieve in boys. However, the teachers used different biology-centered a…
Visions before models
Predictive modeling of severe weather impact on individuals and populations using Machine Learning
In this work, Machine Learning (ML) techniques are used to develop tools capable of accurately predicting the impact of severe weather events. We use readily accessible predictors, including daily meteorological data, basic demographics, geographic and terrain features, along with the number of daily meteorological incidents reported to the emergency services. The model was built using dissaggregated data from the 947 municipalities from the regi…
Computer Science (3 works) · Geography (3 works) · Business (2 works) · Economics (2 works) · Engineering (2 works) · Environmental Science (2 works) · Global Energy and Sustainability Research (2 works) · Sociology (2 works) · Attribution (1 work) · Capitalism (1 work)