Unemployment ·

#2023 #covid19 #Mobile phone data #Mobility #economy #unemployment

The unequal effects of the health–economy trade-off during the COVID19 pandemic

Authors: Marco Pangallo, Alberto Aleta, R. Maria del Rio-Chanona, Anton Pichler, David Martin-Corral, Matteo Chinazzi, Francois Lafond, Marco Ajelli, Esteban Moro, Yamir Moreno, Alessandro Vespignani, J. Doyne Farmer Publication: Nature Human Behavior, Nov 16th, (2023) LINK Abstract: Despite the global impact of the coronavirus disease 2019 pandemic, the question of whether mandated interventions have similar economic and public health effects as spontaneous behavioural change remains unresolved. Addressing this question, and understanding differential effects across socioeconomic groups, requires building quantitative and fine-grained mechanistic models. ...

#Big Data #Unemployment #Sngular

Video of my talk “Your data, our society"

Video of my talk “your data, our society” given at #sngular810, the S|ngular presentation event celebrated in Madrid in Oct. 2015. In my talk I show the uses of bigdata at different scales of resolution to understand our society.

#Nowcasting #Big Data #Unemployment

Talk at itdUPM2015 "Nowcasting. Sociedades para nuevas formas de organización"

Video of my talk “Nowcasting. Sociedades para nuevas formas de organización” in the conference “Tecnología e Innovación para el Desarrollo” at Universidad Politécnica de Madrid.

#Social Networks #Mobility #Twitter #Unemployment

Social media fingerprints of unemployment

Authors:Alejandro Llorente, Manuel García-Herránz, Manuel Cebrián and Esteban Moro Journal: PLoS ONE 10(5): e0128692 (2014) LINK Summary: Publicly available social media data can be used to quantify deviations from typical patterns of behavior and uncover how these deviations signal the socio-economical status of regions. Using data from geolocalized Twitter messages, we find that unemployment is correlated with technology adoption, daily activity, diversity in mobility patterns and correctness in communication style. These behavioral metrics serve to build simple, interpretable, and cost-effective socio-economical predictors from these novel digital datasets. ...