The 2020 Brain Data Bank Challenge (BDBC-2020) is targeted to expose, discuss and accelerate on-going brain research from around the world.
This is a hybrid event, both virtual and in person. Competing teams can make presentations in the preliminary rounds on-line or in person with judging locations in Taiwan, Russia, and United States. Some teams from preliminary rounds will be invited to participate in the final round in Santa Clara, CA, USA.
Others with like interest and curiosity are invited to be in the audience and take advantage of this borderless sharing of state-of-the-art brain research and development.
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The 2020 Brain Data Bank Challenge (BDBC-2020) invites topics on brain data analytics to improve the quality of life and safety of senior citizens. Knowing the senior population has been severely impacted by COVID-19, this year’s focus will be on the “Aging Brain”.
We seek to address (some or all) questions below, regarding the aging brain:
- How effectively do EEG, fNIRS, and/or fMRI datasets capture the aging brain?
- How does the aging brain respond to non-verbal signal (e.g., vision, facial expression, body language and temperature)?
- How can emerging techniques, e.g., Big Data Analytics, Artificial Intelligence, and Deep Learning, enhance the prediction of brain aging?
- How to facilitate ease of use, reliability and protection of brain datasets?
Furthermore, lessons learned from past BDBC presentations have led us to believe:
- Using Machine Learning can localize EEG dimensionality with optimized spatial temporal correlation to compress data by 280 fold.
- Using AI/Deep Learning can improve dataset performance and prediction sensitivity to above 90%.
- Low power CNN microchip with nano-sensor can be implanted for real-time prediction.
- 3D model manufacturing can make comprehensive brain display cost-effective.
We invite you to sign up as a participant (competing and presenting results) or as an observer (in the audience, not competing) to the challenge. You may also complete the form if you are interested in being a speaker.
Registration form for the IEEE BDB Challenge can be found here.
This is a hybrid event, where online presentation of your challenge results is allowed. Optionally, depending on travel restrictions and social distancing due to COVID-19 at the time of the event, participants can present their results on site at Taoyuan City, Taiwan (Sept. 22), St. Petersburg, Russia (Sept. 22), or Cambridge, MA, USA (Nov. 5). Teams selected for the final round may present their results at Santa, Clara, USA (Dec 5).
Preliminary Round, Sept. 22, Taiwan
Preliminary Round, Sept. 22, Russia
Preliminary Round, November 5, Boston, MA, United States
Local contact: Bruce Hecht, Bruce.Hecht@ieee.org
Final Round, December 5, Santa Clara, CA, United States
Go to BDBC Santa Clara for more details
Local contact: Joseph Wei, firstname.lastname@example.org
Fees – please check with local organizers for on-site participation.
Nan Chu, CWLab International, IEEE Consumer Electronics Society Representative in Brain Initiative and Sensors Council
Seth Elkin Frankston, U.S. Army CCDC Soldier Center
Recommended datasets can be obtained from repository of the National Institute’s Alzheimer’s Disease Neuro Imaging in http://adni.loni.usc.edu/ ; or the NeuroImaging Tools & Resources Collaboratory: https://www.nitrc.org/search/?type_of_search=group&q=eeg+data. Other open-source brain image datasets, preferable 10 GB or more, are acceptable as well.
Judging criteria will be based out of 100 points using the following criteria:
Dataset Description (10 points)
Research Questions to Address (10 points)
Proposed Method (20 points)
Analytics (20 points)
Results (20 points)
Presentation (10 points)
Impact Assessment (10 points)
The Judging Panel reserves the right for the final, in-disputable ranking decision.
Cash prizes up to $1000 for early rounds and $5000 for the final round will be awarded.