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Crowdsourced 'R&D' and medical research
1School of Economic and Business Sciences, Knowledge and Information Economics/Human Resources Research Agency (KIEHRA), University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, South Africa chris.callaghan@wits.ac.za.
Introduction Or Background:
Crowdsourced R&D, a research methodology increasingly applied to medical research, has properties well suited to large-scale medical data collection and analysis, as well as enabling rapid research responses to crises such as disease outbreaks.
Sources Of Data:
Multidisciplinary literature offers diverse perspectives of crowdsourced R&D as a useful large-scale medical data collection and research problem-solving methodology.
Areas Of Agreement:
Crowdsourced R&D has demonstrated 'proof of concept' in a host of different biomedical research applications.
Areas Of Controversy:
A wide range of quality and ethical issues relate to crowdsourced R&D.
Growing Points:
The rapid growth in applications of crowdsourced R&D in medical research is predicted by an increasing body of multidisciplinary theory.
Areas For Timely Research:
Further research in areas such as artificial intelligence may allow better coordination and management of the high volumes of medical data and problem-solving inputs generated by the crowdsourced R&D process.
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