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Unternehmen/Arbeitsplatz
Madrid, Madrid Spain
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Legal
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Marie Skłodowska-Curie fellow and assistant professor of European and Comparative Labour Law at IE Law School, Madrid, Spain. My research focuses on the impact of digital innovation on labour regulation and social institutions in the European Union and beyond. The aim of my current project, which has received funding from the European Union’s Horizon 2020 programme, is to map practices of algorithmic decision-making and to assess the adequacy of existing legal frameworks when it comes to enabling sustainable data-driven workplaces.
Tags
labour law
gig-economy
uber
platform economy
sharing economy
unions
platform
crowd-work
on-demand work
employment
algorithms
digital transformation
labour platforms
data processing
gdpr
employment law
platform labour
collaborative economy
italy
crowdwork
digital economy
ai
people analytics
collective rights
equality law
data protection
osha
non discrimination
socioeconomic studies
case study
business model
transaction costs
profiling
self-tracking
inferential analytics
collective agreements
france
germany
civil law
regulatory issues
employee monitoring
digital surveillance
artificial intelligence
european social law
riders
strike
negotiation
collective bargainig
competition
antitrust law
cerberus
coase
firm
social rights
gig economy
decent work
crowdworking
european commission
on demand work
commoditized workers
on demand economy
european parliament
future of work
crowd
canada
dependent contractor
crowdsourcing
parasubordination
spain
on-demand work; sharing economy; crowd-work; crowd
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Präsentationen
(14)Personal Information
Unternehmen/Arbeitsplatz
Madrid, Madrid Spain
Branche
Legal
Info
Marie Skłodowska-Curie fellow and assistant professor of European and Comparative Labour Law at IE Law School, Madrid, Spain. My research focuses on the impact of digital innovation on labour regulation and social institutions in the European Union and beyond. The aim of my current project, which has received funding from the European Union’s Horizon 2020 programme, is to map practices of algorithmic decision-making and to assess the adequacy of existing legal frameworks when it comes to enabling sustainable data-driven workplaces.
Tags
labour law
gig-economy
uber
platform economy
sharing economy
unions
platform
crowd-work
on-demand work
employment
algorithms
digital transformation
labour platforms
data processing
gdpr
employment law
platform labour
collaborative economy
italy
crowdwork
digital economy
ai
people analytics
collective rights
equality law
data protection
osha
non discrimination
socioeconomic studies
case study
business model
transaction costs
profiling
self-tracking
inferential analytics
collective agreements
france
germany
civil law
regulatory issues
employee monitoring
digital surveillance
artificial intelligence
european social law
riders
strike
negotiation
collective bargainig
competition
antitrust law
cerberus
coase
firm
social rights
gig economy
decent work
crowdworking
european commission
on demand work
commoditized workers
on demand economy
european parliament
future of work
crowd
canada
dependent contractor
crowdsourcing
parasubordination
spain
on-demand work; sharing economy; crowd-work; crowd
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