Distributed ledger for non-selective reporting

Anna Chukhnina, Grigorii Melnikov, Anton Pecherkin, Aleksandr Sokolov, Yury Yanovich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many research papers with data processing are released daily. Some of them are prone to statistical errors caused by selective reporting. It results in a lack of reproducibility and wrong conclusions. In the Non-selective reporting demo, we show how to deal with the reporting bias problem through a distributed ledger system.

Original languageEnglish
Title of host publicationIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665435789
DOIs
Publication statusPublished - 3 May 2021
Event3rd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021 - Virtual, Sydney, Australia
Duration: 3 May 20216 May 2021

Publication series

NameIEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021

Conference

Conference3rd IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2021
Country/TerritoryAustralia
CityVirtual, Sydney
Period3/05/216/05/21

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