Chalmers University
AI: A New Scientific Revolution?
Dilemmas, Debates, & Challenges
Today, new digital tools and methods create a growing flood of Big data. In order to manage this growing flood of data, many data-driven research projects in biomedicine are turning to new analytical methods using AI. As a result, we are currently experiencing an explosive introduction of AI in biomedicine. AI seems to promise a whole new way of producing knowledge about the world.
How do actors handle the introduction of AI in the biosciences? What are the debates that AI lead to? Challenges? Dilemmas?
Funded by » WASP-HS
The rise of infodemiology
In today’s globalized world, computer systems are increasingly central for the detection of disease outbreaks: they track and analyze data, they alert to unusual events, and they make possible earlier detection of disease outbreaks. However, outbreak surveillance is currently undergoing a momentous shift from traditional epidemiology to “infodemiology”. The word infodemiology points to a transformation where traditional epidemiological assessments are being complemented with new forms of information gathering and computer processing.
The purpose of this project is to investigate how the emergence of infodemiology is creating new ways of knowing and working with outbreak surveillance.
Funded by the Swedish Research Council.
Trials of value
In this project we focus how scientists in practice answer the question “What knowledge is worth pursuing?”. The purpose of this project is to investigate the practices of research design in biomedical experiments to understand how the economic, scientific, and medical are intertwined in research design. Here we wish to examine the economic as an important part of determining what questions can, and cannot, be addressed in subsequent experiments.
The Trials of value project is a collaborative project with CF Helgesson.
Funded by Riksbankens Jubileumsfond.
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Page last modified: 12 Mar 2020
