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Recent timeline posts

Academia

Health & Preferences Workshop 29 feb

  • #economics
  • #ethicsinhealthsciences
  • #philosophy
  • #psychologicalsciences

Perspectives from economics and philosophy on the policy-relevance of health preferences on reimbursement decision-making.

Preferences play a central role in healthcare reimbursement decisions, for example informing cost-effectiveness analysis, priority setting, and medical product development. But are preferences as currently elicited to inform these decisions fit-for-purpose, or ‘policy-relevant’?

Established literatures in philosophy and behavioural economics challenge this assumption. Relevant preferences would, for example, be well-informed, based on correct reasoning, and due to self-regarding or public-regarding reasons (but not necessarily both). All of these conditions have been contested empirically.

This workshop has therefore invited health economists, behavioural economists, and philosophers to make headway on the question: How can we determine whether stated health preferences are policy-relevant, and what should we do if we have good reason to believe they are not?

In this workshop, which includes a keynote by Daniel Hausman (Rutgers University), the question of when health policy should be based on health preferences and which challenges exists in the measurement and interpretation of those preference will be explored in three sessions (see below for details). The workshop aims to develop agenda for future interdisciplinary research on policy-relevant preferences in healthcare reimbursement.

For more information, the programme and registration click here.

Academia

Data School is making an impact on an international scale

  • #computerscience
  • #ethicsinnaturalsciences
  • #informationscience

How do you achieve impact through your research findings? For instance, by publishing a paper in a leading academic journal, or speaking about it at a public event or in the media. But the Data School's Mirko Schäfer and Iris Muis do not find the time to publish as often as they would like. And yet, their research is having significant impact, with their work used in e.g. Austria, Sweden, Finland and Greece.

Iris Muis and Mirko Schäfer, along with associate professor Karin van Es, are the figureheads of the Data School, an education and research platform exploring the impact of digitisation on society. Schäfer is an associate professor at the Science Faculty as well as co-founder of the Data School. Team manager Muis was nominated Responsible AI Leader by Women in AI Netherlands. Schäfer just returned from Finland, where the Data School team worked to raise awareness among scientists and government officials on the ethical aspects of big data projects. They did so with the Data Ethics Decision Aid (DEDA), a toolkit used to help officials by guiding them through each step of the decision-making process.

Find out more!