● Subjects of research
● Long Description
Science is typically thought to describe the world; to provide predictions or explanations.
This phenomenon is becoming increasingly widespread: For instance, some predictions of bank failures have led to bank runs, which made banks actually fail. In the COVID-19 pandemic, we saw that predictions of the spread of the disease influenced social distancing and lockdown decisions and thus, the course of the pandemic. And, in computer science, predictive algorithms increasingly influence things like whether you are hired, granted a loan, or denied parole. In all these cases, scientific models are performative; meaning they influence the targets they’re supposed to describe.
Philosophers have so far discussed performativity as a problem for science. They have noted, first, that it can skew scientific results, when it steers outcomes away from what you predicted. And, second, it also raises ethical and political issues. Usually, we see the proper role of science as providing facts, rather than influencing them, and scientists aren’t democratically elected to influence outcomes. But, while these philosophers point at important problems, they neglect the fact that performative effects are ubiquitous and inevitable! This is where MAPS enters.
But, so far there is hardly any work that has taken this approach. The aim of MAPS is to put performativity management on the agenda.
● Project Phases
● Subjects of research
● Long Description
Science is typically thought to describe the world; to provide predictions or explanations.
This phenomenon is becoming increasingly widespread: For instance, some predictions of bank failures have led to bank runs, which made banks actually fail. In the COVID-19 pandemic, we saw that predictions of the spread of the disease influenced social distancing and lockdown decisions and thus, the course of the pandemic. And, in computer science, predictive algorithms increasingly influence things like whether you are hired, granted a loan, or denied parole. In all these cases, scientific models are performative; meaning they influence the targets they’re supposed to describe.
Philosophers have so far discussed performativity as a problem for science. They have noted, first, that it can skew scientific results, when it steers outcomes away from what you predicted. And, second, it also raises ethical and political issues. Usually, we see the proper role of science as providing facts, rather than influencing them, and scientists aren’t democratically elected to influence outcomes. But, while these philosophers point at important problems, they neglect the fact that performative effects are ubiquitous and inevitable! This is where MAPS enters.
But, so far there is hardly any work that has taken this approach. The aim of MAPS is to put performativity management on the agenda.
● Project Phases
● MAPS is supported by:
Funded by the European Union (ERC, MAPS, 101115973). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
© 2024 maps-project.com
● MAPS is supported by:
Funded by the European Union (ERC, MAPS, 101115973). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
© 2024 maps-project.com