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Activity Number: 12 - Frontiers of Statistical Computing in Modern Science
Type: Invited
Date/Time: Monday, August 3, 2020 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistical Computing
Abstract #309344
Title: Data Science on Blockchains
Author(s): Cuneyt Gurcan Akcora*
Companies: University of Manitoba
Keywords: blockchain; bitcoin; ethereum; data science; ransomware; topological data analysis
Abstract:

This decade has been marked with the rise of Blockchain based technologies. At its core, Blockchain is a distributed public ledger that stores transactions between two parties without requiring a trusted central authority. On a Blockchain, two unacquainted parties can create an unmodifiable transaction that is permanently recorded on the ledger to be seen by the public.

Many applications, ranging from cryptocurrencies to food supply chain management, which demand provenance and decentralization, are already having a positive impact on society and allowing diverse entities to partake in the global economy. As these applications proliferate, so does the complexity and volume of data stored by Blockchains. Analyzing this data has emerged as an important research topic, already leading to methodological advancements in statistics, computer and information sciences.

I will offer a holistic view for Data Science on Blockchains. Beyond the cryptocurrency aspects, I will outline the frontier research approaches for data analyses from Blockchain currencies and platforms such as Ethereum, Bitcoin and Ripple.


Authors who are presenting talks have a * after their name.

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