Frederic Gerdon
Dados Biográficos
| ID | 308014 |
|---|---|
| NOME | Frederic Gerdon |
| PRENOMES | Frederic |
| SOBRENOME | Gerdon |
| ASSINATURA | GERDON F |
| AFILIAÇÕES | University of Mannheim |
| ORCID | 0000-0003-4442-6698 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAÇÕES | 9 |
| OBRAS COMO AUTOR | 7 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 2 |
To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records
Technological advances in the recent past made it possible for researchers to collect and analyze large amounts of health data at unprecedented scale and speed. For example, fitness trackers and smartwatches produce steady flows of information on individuals’ health. Biomarker data and medical records allow to study individuals at new levels of granularity. The COVID-19 pandemic has highlighted that access to such data for health research and evi…
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
Attitudes on Data Use for Public Benefit
With technological advances, governments and companies gain opportunities to collect data to provide public benefits. However, such data collections and uses need to fulfill ethical standards and comply with citizens' privacy preferences, which may vary across several dimensions. The Comparative Privacy Research Framework suggests specific comparative dimensions that may shape such privacy-related perceptions. I propose how to integrate into this…
Did the GDPR increase trust in data collectors? Evidence from observational and experimental data
In the wake of the digital revolution and connected technologies, societies store an ever-increasing amount of data on humans, their preferences, and behavior. These modern technologies create a trust challenge, insofar as individuals have to trust data collectors such as private organizations, government institutions, and researchers that their data is not misused. Privacy regulations should increase trust because they provide laws that increase…
A preregistered vignette experiment on determinants of health data sharing behavior
The COVID-19 pandemic has spotlighted the importance of high-quality data for empirical health research and evidence-based political decision-making. To leverage the full potential of these data, a better understanding of the determinants and conditions under which people are willing to share their health data is critical. Building on the privacy theory of contextual integrity, the privacy calculus, and previous findings regarding different data …
Social impacts of algorithmic decision-making
Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making (ADM) may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impac…
Acceptability of App-Based Contact Tracing for Covid-19
BACKGROUND: The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs. One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19. Recent research has demonstrated the theoretical ef…
A preregistered vignette experiment on determinants of health data sharing behavior
The COVID-19 pandemic has spotlighted the importance of high-quality data for empirical health research and evidence-based political decision-making. To leverage the full potential of these data, a better understanding of the determinants and conditions under which people are willing to share their health data is critical. Building on the privacy theory of contextual integrity, the privacy calculus, and previous findings regarding different data …
Social impacts of algorithmic decision-making
Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making (ADM) may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impac…
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
Attitudes on Data Use for Public Benefit
With technological advances, governments and companies gain opportunities to collect data to provide public benefits. However, such data collections and uses need to fulfill ethical standards and comply with citizens' privacy preferences, which may vary across several dimensions. The Comparative Privacy Research Framework suggests specific comparative dimensions that may shape such privacy-related perceptions. I propose how to integrate into this…
Acceptability of App-Based Contact Tracing for Covid-19
BACKGROUND: The COVID-19 pandemic is the greatest public health crisis of the last 100 years. Countries have responded with various levels of lockdown to save lives and stop health systems from being overwhelmed. At the same time, lockdowns entail large socioeconomic costs. One exit strategy under consideration is a mobile phone app that traces the close contacts of those infected with COVID-19. Recent research has demonstrated the theoretical ef…
Did the GDPR increase trust in data collectors? Evidence from observational and experimental data
In the wake of the digital revolution and connected technologies, societies store an ever-increasing amount of data on humans, their preferences, and behavior. These modern technologies create a trust challenge, insofar as individuals have to trust data collectors such as private organizations, government institutions, and researchers that their data is not misused. Privacy regulations should increase trust because they provide laws that increase…
A preregistered vignette experiment on determinants of health data sharing behavior
The COVID-19 pandemic has spotlighted the importance of high-quality data for empirical health research and evidence-based political decision-making. To leverage the full potential of these data, a better understanding of the determinants and conditions under which people are willing to share their health data is critical. Building on the privacy theory of contextual integrity, the privacy calculus, and previous findings regarding different data …
Social impacts of algorithmic decision-making
Academic and public debates are increasingly concerned with the question whether and how algorithmic decision-making (ADM) may reinforce social inequality. Most previous research on this topic originates from computer science. The social sciences, however, have huge potentials to contribute to research on social consequences of ADM. Based on a process model of ADM systems, we demonstrate how social sciences may advance the literature on the impac…
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
Attitudes on Data Use for Public Benefit
With technological advances, governments and companies gain opportunities to collect data to provide public benefits. However, such data collections and uses need to fulfill ethical standards and comply with citizens' privacy preferences, which may vary across several dimensions. The Comparative Privacy Research Framework suggests specific comparative dimensions that may shape such privacy-related perceptions. I propose how to integrate into this…
To share or not to share – understanding individuals’ willingness to share biomarkers, sensor data, and medical records
Technological advances in the recent past made it possible for researchers to collect and analyze large amounts of health data at unprecedented scale and speed. For example, fitness trackers and smartwatches produce steady flows of information on individuals’ health. Biomarker data and medical records allow to study individuals at new levels of granularity. The COVID-19 pandemic has highlighted that access to such data for health research and evi…
Computer Science (6 obras) · Political science (4 obras) · Sociology (4 obras) · Business (3 obras) · Internet privacy (3 obras) · Medicine (3 obras) · Privacy, Security, and Data Protection (3 obras) · Psychology (3 obras) · Social media (3 obras) · Survey data collection (3 obras)