Democratizing data analytics: Crowd-sourcing decentralized collective measurements
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Date
2019Type
- Conference Paper
Abstract
This paper introduces a Technology Readiness Level (TRL) 6 live demonstrator for socially responsible real-time data analytics: crowd-sourced decentralized collective measurements by preserving privacy. It provides a proof of concept for the democratization of big data running by citizens, for citizens. The demonstrator connects DIAS, the Dynamic Intelligent Aggregation Service, and GDELT, the Global Database of Events, Language, and Tone, to monitor planetary activity in different countries. DIAS remains operational for more than 4 months, exchanging millions of messages to self-adapt to data updates from GDELT. It accurately estimates the total news events providing high responsiveness to mobile devices. The demonstrator comes with a community Slack Bot for status updates of system health. Show more
Publication status
publishedExternal links
Book title
2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)Pages / Article No.
Publisher
IEEEEvent
Subject
data analytics; big data; decentralized system; network; self-adaptation; collected measurement; crowdOrganisational unit
03784 - Helbing, Dirk / Helbing, Dirk
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