Gert Meyers
Biographic Data
| ID | 185099 |
|---|---|
| NAME | Gert Meyers |
| GIVEN NAMES | Gert |
| FAMILY NAME | Meyers |
| SIGNATURE | MEYERS G |
| AFFILIATIONS | KU Leuven |
| ORCID | 0000-0002-5255-529X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 52 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Realizing a blockchain solution without blockchain? Blockchain, solutionism, and trust
Blockchain is employed as a technology holding a solutionist promise, while at the same time, it is hard for the promissory blockchain applications to become realized. Not only is the blockchain protocol itself not foolproof, but when we move from “blockchain in general” to “blockchain in particular,” we see that new governance structures and ways of collaborating need to be developed to make blockchain applications work/become real. The qualitie…
(Dis)trust in Digital Insurance
Trust is both a prerequisite and a product of insurance, as insurance contracts are built on and create trust relations that enable a risk-averse perspective towards the future. At the same time, insurer-policyholder relationships are characterised by a persistent distrust, rooted in insurance economics and industry reputation. In this article, we discuss these dynamics through a Luhmannian understanding of (dis)trust as a complexity-reducing fun…
Democratic research
The sudden and dramatic advent of the COVID-19 pandemic led to urgent demands for timely, relevant, yet rigorous research. This paper discusses the origin, design, and execution of the SolPan research commons, a large-scale, international, comparative, qualitative research project that sought to respond to the need for knowledge among researchers and policymakers in times of crisis. The form of organization as a research commons is characterized …
Shifting Solidarities
Happy failures
Insurance markets have always relied on large amounts of data to assess risks and price their products. New data-driven technologies, including wearable health trackers, smartphone sensors, predictive modelling and Big Data analytics, are challenging these established practices. In tracking insurance clients’ behaviour, these innovations promise the reduction of insurance costs and more accurate pricing through the personalisation of premiums and…
This could be our reality in the next five to ten years
William James (1919) characterises hypotheses as either live or dead. A hypothesis is live when it is taken into account as a 'real possibility'. We follow James' suggestion to not attribute intrinsic properties to hypotheses, but rather investigate how they came into being and look at the effects they generate. Expectations of digital technologies are a topic of vivid debate in the insurance industry. Before these expectations can become 'live',…
Enacting Actuarial Fairness in Insurance
In line with developments in the personalisation of risk, the idea that insurance products should above all be ‘fair’ to the policyholders is increasingly voiced by commentators. The performativity thesis in Science and Technology Studies usually used to study economic markets can be used to investigate different enactments of ‘actuarial fairness’ in insurance practice. Actuarial fairness functions as a technical economic concept and was coined b…
Enacting Actuarial Fairness in Insurance
In line with developments in the personalisation of risk, the idea that insurance products should above all be ‘fair’ to the policyholders is increasingly voiced by commentators. The performativity thesis in Science and Technology Studies usually used to study economic markets can be used to investigate different enactments of ‘actuarial fairness’ in insurance practice. Actuarial fairness functions as a technical economic concept and was coined b…
Happy failures
Insurance markets have always relied on large amounts of data to assess risks and price their products. New data-driven technologies, including wearable health trackers, smartphone sensors, predictive modelling and Big Data analytics, are challenging these established practices. In tracking insurance clients’ behaviour, these innovations promise the reduction of insurance costs and more accurate pricing through the personalisation of premiums and…
This could be our reality in the next five to ten years
William James (1919) characterises hypotheses as either live or dead. A hypothesis is live when it is taken into account as a 'real possibility'. We follow James' suggestion to not attribute intrinsic properties to hypotheses, but rather investigate how they came into being and look at the effects they generate. Expectations of digital technologies are a topic of vivid debate in the insurance industry. Before these expectations can become 'live',…
Realizing a blockchain solution without blockchain? Blockchain, solutionism, and trust
Blockchain is employed as a technology holding a solutionist promise, while at the same time, it is hard for the promissory blockchain applications to become realized. Not only is the blockchain protocol itself not foolproof, but when we move from “blockchain in general” to “blockchain in particular,” we see that new governance structures and ways of collaborating need to be developed to make blockchain applications work/become real. The qualitie…
Enacting Actuarial Fairness in Insurance
In line with developments in the personalisation of risk, the idea that insurance products should above all be ‘fair’ to the policyholders is increasingly voiced by commentators. The performativity thesis in Science and Technology Studies usually used to study economic markets can be used to investigate different enactments of ‘actuarial fairness’ in insurance practice. Actuarial fairness functions as a technical economic concept and was coined b…
This could be our reality in the next five to ten years
William James (1919) characterises hypotheses as either live or dead. A hypothesis is live when it is taken into account as a 'real possibility'. We follow James' suggestion to not attribute intrinsic properties to hypotheses, but rather investigate how they came into being and look at the effects they generate. Expectations of digital technologies are a topic of vivid debate in the insurance industry. Before these expectations can become 'live',…
Shifting Solidarities
Happy failures
Insurance markets have always relied on large amounts of data to assess risks and price their products. New data-driven technologies, including wearable health trackers, smartphone sensors, predictive modelling and Big Data analytics, are challenging these established practices. In tracking insurance clients’ behaviour, these innovations promise the reduction of insurance costs and more accurate pricing through the personalisation of premiums and…
Democratic research
The sudden and dramatic advent of the COVID-19 pandemic led to urgent demands for timely, relevant, yet rigorous research. This paper discusses the origin, design, and execution of the SolPan research commons, a large-scale, international, comparative, qualitative research project that sought to respond to the need for knowledge among researchers and policymakers in times of crisis. The form of organization as a research commons is characterized …
Realizing a blockchain solution without blockchain? Blockchain, solutionism, and trust
Blockchain is employed as a technology holding a solutionist promise, while at the same time, it is hard for the promissory blockchain applications to become realized. Not only is the blockchain protocol itself not foolproof, but when we move from “blockchain in general” to “blockchain in particular,” we see that new governance structures and ways of collaborating need to be developed to make blockchain applications work/become real. The qualitie…
(Dis)trust in Digital Insurance
Trust is both a prerequisite and a product of insurance, as insurance contracts are built on and create trust relations that enable a risk-averse perspective towards the future. At the same time, insurer-policyholder relationships are characterised by a persistent distrust, rooted in insurance economics and industry reputation. In this article, we discuss these dynamics through a Luhmannian understanding of (dis)trust as a complexity-reducing fun…
Business (3 works) · Computer Science (3 works) · Political science (3 works) · Sociology (3 works) · Actuarial science (2 works) · Economics (2 works) · Finance (2 works) · FinTech, Crowdfunding, Digital Finance (2 works) · Insurance policy (2 works) · Law (2 works)