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Citizen Neuroscience: Brain-Computer Interface Researcher Perspectives on Do-It-Yourself Brain Research
Stephanie Naufel1, Eran Klein2,3
1Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA. steph.n.thacker@gmail.com.
Science and Engineering Ethics
|June 14, 2020
Summary
Citizen neuroscientists can contribute valuable data through do-it-yourself (DIY) brain research. Expert validation can address concerns about data quality and reproducibility in DIY neuroscience, fostering collaboration.
Area of Science:
- Neuroscience
- Citizen Science
- Brain-Computer Interfaces
Background:
- Consumer-grade brain recording and stimulation devices are increasingly sophisticated.
- This enables do-it-yourself (DIY) neuroscience, offering opportunities for public contribution to research.
- The rise of DIY neuroscience presents challenges regarding data quality, standards, and scientific practice boundaries.
Purpose of the Study:
- To investigate brain-computer interface (BCI) researchers' perspectives on DIY neuroscience.
- To understand concerns and potential benefits associated with citizen-led neuroscience research.
Main Methods:
- An online survey was administered to BCI researchers.
- Survey data was analyzed to identify key concerns and opinions regarding DIY brain research.
Main Results:
- BCI researchers expressed significant concerns regarding data quality and reproducibility in DIY neuroscience.
- The potential for expert validation of citizen-generated data was found to mitigate these concerns.
- Researchers see potential for collaboration between citizens and experts.
Conclusions:
- Collaboration between citizen neuroscientists and researchers can enhance data collection and understanding of brain function.
- Establishing frameworks for data validation is crucial for integrating DIY neuroscience into scientific practice.
- Ethical considerations for citizen science are important for responsible advancement of neuroscience.
