Data Privacy in Digital Markets
PRIVDIMA aims to enhance data privacy regulation by modeling verifiability effects to prevent price discrimination and ensure fair consumer benefits in digital markets.
Projectdetails
Introduction
Focusing on verifiability, PRIVDIMA studies the regulation of data privacy to protect consumers from excessive price discrimination in digital markets.
Background
PRIVDIMA breaks with previous literature by acknowledging that data has a verifiability effect. It proposes a study of data privacy regulation by explicitly modelling this verifiability effect. Its motivation is as follows:
- Data collection in digital markets renders private information verifiable.
- Due to unravelling, this verifiability effect of data impacts regulation at a fundamental level.
- Extant work on privacy regulation abstracts from the effect.
- Data privacy rules that ignore verifiability effects lead to misguided regulation.
PRIVDIMA is to rectify this.
Objectives
PRIVDIMA has 3 objectives:
Objective 1
Incorporate verifiability in the state-of-the-art theories of mechanism and information design, readying them for the analysis of a new range of problems where verifiability matters.
Objective 2
Derive concrete policy implications for data privacy based on regulating the use of data to limit price discrimination. It yields new insights on regulating both long and short run contracts in models of behaviour-based price discrimination.
Objective 3
Derive concrete policy implications for data privacy based on regulating the collection of data. It yields insights on how to prevent an unravelling of private information by which the verifiability effect of data hurts consumers.
Impact
Objective 1 implies a major advancement for the field of economic theory. Objectives 2 and 3 ensure that consumers obtain a fair share of the benefits from digitalization, promoting not only equity and fairness but also public support for future digitalization, allowing societies to reap its benefits while avoiding social conflict.
Expertise
As PRIVDIMA’s PI, I have a proven track record in developing and applying the required methods, and expertise in working with both verifiable and non-verifiable information.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.860.125 |
Totale projectbegroting | € 1.860.125 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- HUMBOLDT-UNIVERSITAET ZU BERLINpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
MANUNKIND: Determinants and Dynamics of Collaborative ExploitationThis project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery. | ERC STG | € 1.497.749 | 2022 | Details |
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field. | ERC STG | € 1.025.860 | 2023 | Details |
MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Inequality-aware Market DesignThis project develops Inequality-aware Market Design (IMD) to optimize marketplace structures that balance allocative efficiency with redistributive goals in the presence of participant inequalities. | ERC STG | € 1.191.561 | 2022 | Details |
Data and Market Power in the Digital EconomyThis research project aims to analyze how data-driven competition impacts market power and informs antitrust policy through themes of ecosystems, personalization, consumer search, and algorithms. | ERC COG | € 1.287.813 | 2023 | Details |
Fair Competition in App MarketsThis project aims to empirically assess effective public policy interventions against self-preferencing in app markets to enhance innovation incentives for developers. | ERC STG | € 1.491.849 | 2024 | Details |
Enhancing Protections through the Collective Auditing of Algorithmic PersonalizationThe project aims to develop mathematical foundations for auditing algorithmic personalization systems while ensuring privacy, autonomy, and positive social impact. | ERC COG | € 1.741.309 | 2024 | Details |
Inequality-aware Market Design
This project develops Inequality-aware Market Design (IMD) to optimize marketplace structures that balance allocative efficiency with redistributive goals in the presence of participant inequalities.
Data and Market Power in the Digital Economy
This research project aims to analyze how data-driven competition impacts market power and informs antitrust policy through themes of ecosystems, personalization, consumer search, and algorithms.
Fair Competition in App Markets
This project aims to empirically assess effective public policy interventions against self-preferencing in app markets to enhance innovation incentives for developers.
Enhancing Protections through the Collective Auditing of Algorithmic Personalization
The project aims to develop mathematical foundations for auditing algorithmic personalization systems while ensuring privacy, autonomy, and positive social impact.