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Roanne van Voorst

University of Amsterdam, Netherlands

Title: The future of health - cooperation between medical experts and algorhythms

Abstract

This interactive workshop launches the beginnings of a 5-year, multi-sited research project, studying an ethnography of a currently evolving revolution in global health: the increasingly common collaboration between medical experts and algorhythms. The research is funded by the European Research Committee, and takes place worldwide, with a focus on six country case studies.

With health data being considered countries’ ‘future oil’, public and scholarly concerns about ‘algorithmic ethics’ rise. Research has long shown that algorithmic datasets (re)produce social biases, discriminate and limit personal autonomy. At the same time, it is also clear that alghorytms are able to improve public health.

This presentation kicks off an urgent experiment between researchers, future-foresighters, medical experts and programmers, with an innovative 'future-in-the-now' methodology. Medical experts are asked to share the opportunities and challenges they see ahead when it comes to human-nonhuman collaboration. With their input, visualizations and games will be built that will help the medical and social community to forestall likely ethical and professional dilemmas. Eventually, this data will be shared with all participants.

Biography

When people hear about ‘algorithmic decision-making’, they typically think of a computer system and the data sets it calculates. In reality, all algorithmic decisions are made in collaboration with humans: it is us who create them, evaluate them, follow their outcomes or deviate from them. Van Voorst’s project is an anthropological study of the collaboration between humans and algorithmic systems in the field of global public health – a field of unprecedented growth in datafication and automation. In six country cases, the project will look at how doctors, programmers and algorithms make decisions together, for example in the fields of DNA genetic research or preventive health care.