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African Brain Data Science Academy EEG Workshop

  • Nigeria
  • 9-14 June, 2025

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Call for Applications

African Brain Data Science Academy EEG Workshop

Are you an African researcher, graduate student or clinical practitioner interested in neuroscience, neurotechnology, or brain-computer interfaces? Join us for an African Brain Data Science Academy intensive one-week EEG Workshop in Nigeria (9-14 June, 2025) designed to empower researchers across Africa with hands-on training and foundational knowledge in Electroencephalography (EEG).  EEG is a powerful, non-invasive tool for studying brain activity and advancing neurotechnological research. This workshop aims to:

  • Provide foundational knowledge about EEG technology and applications.
  • Offer hands-on training in experimental design, EEG data collection, processing, and analysis.
  • Facilitate interdisciplinary collaboration among researchers across Africa.
  • Discuss the relevance of EEG research in addressing African health and societal challenges.

During this workshop, you will get 

  • expert-led lectures on EEG principles, signal processing, and analysis.
  • practical sessions on EEG equipment setup and data acquisition.
  • Hands-on training in data analysis using popular tools and platforms.
  • Networking opportunities with leading researchers and peers.
  • Discussions on ethics, contextualization of neurotechnological research in Africa.

Participants will bring a laptop with a recent web browser for the hands-on data analysis sessions. We will provide WiFi and the analysis will be done using online tools, so you don’t need special software on your laptop.   

Successful applicants will receive free accommodation and subsistence but will pay for their transport to the venue. 

Deadline: for application is the 1st of March, 2025

If you have any queries please contact: bnsaanee7@gmail.com

Apply here

Upcoming Events

African Brain Data Science Academy EEG Workshop

@ Nigeria

  • 9-14 June, 2025
Learn More

Making African Brain Data Findable, Accessible, Interoperable and Reusable (FAIR) in a socially acceptable, ethically responsible and legally compliant way.

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