is a machine learning educational tool that aims to simulate alternative ways to collect data for ML training process. 

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Collaboration with Avner Peled.
Comissioned by Ars Electronica Future Thinking School.

The struggle in collecting and allocating data is a real struggle for most people outside of those big companies. It has real implications for our lives. The dataset tool aims to simulate alternative methods that can help us augment and allocate datasets for machine learning training. It explores these ideas as collaborative online tool.

The tool was developed and designed for Ars Electronica Future Thinking School.  Co-funded by the European Commission's DG CONNECT, in the framework of the Horizon 2020 program of the European Union under the S+T+ARTS program's Regional STARTS Centers, and with the support of the National Film Board of Canada.
This project is part of the development of the Marrow project with the support of the National Film Board of Canada, ATLAS V and the CNC.

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Featured:  Ars Electronica festival 2021. 

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