Descripción del proyecto
Modelización del efecto de verificabilidad en la privacidad de los datos
Las leyes de privacidad de datos regulan cómo se recopilan, almacenan y comparten los datos para proteger a los consumidores de una discriminación excesiva de precios en los mercados digitales. Partiendo de la novedosa premisa de que los datos tienen un efecto de verificabilidad, el equipo del proyecto PRIVDIMA, financiado con fondos europeos, pretende estudiar exhaustivamente la regulación de la privacidad de los datos modelizando explícitamente este efecto de verificabilidad. En el proyecto se intenta integrar la verificabilidad en las teorías más avanzadas de diseño de mecanismos e información, lo que mejora su aplicabilidad para analizar una nueva gama de problemas en los que la verificabilidad es crucial. El equipo de PRIVDIMA pretende ofrecer recomendaciones políticas prácticas para la privacidad de los datos, lo que regula su uso para evitar la discriminación de precios. Mediante la regulación de la recogida de datos, pretende evitar la divulgación de la información privada y así garantizar beneficios equitativos para los consumidores en la era de la digitalización.
Objetivo
Focusing on verifiability, PRIVDIMA studies the regulation of data privacy to protect consumers from excessive price discrimination in digital markets.
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: 1) data collection in digital markets renders private information verifiable; 2) due to unravelling, this verifiability effect of data impacts regulation at a fundamental level; 3) extant work on privacy regulation abstracts from the effect; 4) data privacy rules that ignore verifiability effects lead to misguided regulation. PRIVDIMA is to rectify this.
PRIVDIMA has 3 objectives. Objective 1 is to 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 is to 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 is to 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.
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.
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.
Ámbito científico
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-ERC - HORIZON ERC GrantsInstitución de acogida
10117 Berlin
Alemania