Call for papers! Submit your paper to the "International Journal of Data Science and Analytics" before the 30th of June 2024!

NFT-based model to visualize and predict marine ecosystems

Without preamble, my tool has the following features:

  1. A decentralised approach for both collecting and analyzing data.
  2. Centralisation: A database in order to provide data to feed and accelerate the other research in this field
    (This challenge)
    Therefore, my tool should have a centre with a decentralized approach for data collection & analysis.
  3. Real-time: It will control an environment by receiving & processing data and finally returning the results quickly enough to affect the environment at that time to have sufficient time to respond
  4. Continuous: Select smart target locations (e.g., north pole and Maldives coasts) to address sensitive variables and continuously record them.
  5. Traceability: The data should be traceable:
    When and where is the data collected?
    What data did we have for the same location in the past?
  6. Small data size: The real data has a large size. If we convert the real data to transactions, we will be able to collect more data with a smaller size.
    I suggest a cryptocurrency-based model for transforming environmental factors into meaningful traceable transactions. By using NFT, we can have a non-interchangeable unit of data stored on a blockchain.

We can turn the real environmental data into NFT and then visualize it on a platform as a 3D virtual world.
Outcome: Having a single puzzle on a single platform and the data are the pieces of this puzzle (complex phenomena).

 


The Challenge

PREDICTING ENVIRONMENTAL RISKS - Challenge: 3B

 

Black swan finder