Intersectional Social Data

Jul 18, 2020

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Data are interpersonal relational rather than atomistically personal or universally objective. Yet the group of people to which a datum pertains is different across all data pertaining to any person, and thus every person sits at the intersection of a diversity of data collectives. A data structure representing this as well as interpersonal relationships of trust has the potential to add a trust layer to internet-type structures, allow the verification at higher levels of trust of a far wider range of data than current data structures and eventually to enable political economies far more sophisticated than even those currently considered innovative (such as current advocated by organizations like RadicalxChange) .

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The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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