EUREKATOKAN

EUREKA Logo

EUREKA is a systematic evaluate and score platform fuelled by way of the EUREKA token from EKA Blockchain solutions GmbH. Blockchain has the potential to open technology and make studies findings immutable, transparent and decentralised. EUREKA revolutionises the scientific publishing and reviewing technique by making it extra green and honest the use of the EUREKA token to compensate all events involved. scientific discoveries can now be brazenly rated and rewarded primarily based at the nice of the studies.

EUREKA on Github

ScienceMatters emblem

ScienceMatters is a systematic on line publishing platform. The crew in the back of ScienceMatters is likewise at the back of the EUREKA platform. After launching in 2016, ScienceMatters has operated a couple of journals and covers all elements of technology publishing. within the equal 12 months the organisation turned into encouraged by the eu commission. It has 24 clinical advisory board members chaired by the Nobel laureate Prof. Tom Südhof and round 600 editorial board individuals from some of the best institutes around the sector, consisting of Harvard college, Stanford college, ETH and the Max-Planck Institute.

Timestamping of scientific data

medical observations are timestamped, hashed and recorded on the Ethereum blockchain. This gives the author or inventor on the spot ownership rights, and guarantees scientists’ and researchers’ discoveries are tamper-evidence.

Peer-to-peer evaluation

medical observations undergo crowdsourced, peer-to-peer opinions which can be transmitted and recorded on the EUREKA platform. The EUREKA platform will make use of crowdsourced knowledge and reviewers to get rapid, correct critiques of the paintings, in place of being restricted to 1 or reviewers, as is common exercise.

rating

The EUREKA platform’s crowdsourced scoring of medical paintings will provide researchers in addition to publishers with a brand new metric that may be used to assess submissions greater rapidly. Preprints or observations with scores and evaluations can be archived through the EUREKA decentralised and allotted machine. In cases in which the writer desires to put up in a traditional journal, the scores can be transferred to the journals. The check rankings are also to be had to funders, universities and prize or awards committees.

investment research, profession, awards and prizes

EUREKA may have the first blockchain-primarily based medical rating machine, preprint server and single remark platform that provides reliable, immutable scores and statistics that can be transferred on the blockchain to funders, institutions and without delay to journals. sources of funding ought to make choices based totally on scores and opinions at the EUREKA platform.

Incentivisation of replication research

EUREKA tokens are allocated to pay for replication studies to both confirm or contradict present studies. Researchers verify the have a look at, and both the original author and the replicating author are robotically compensated with EUREKA tokens. This ensures the reproducibility of findings, and minimises wasteful time and economic spending.

AI-primarily based prediction e.g. drug discovery

An artificial intelligence-based totally prediction device will make use of ScienceMatters’ algorithm which identifies associated research and observations by way of go referencing annotations and links them to form a story. This generation can be leveraged to predict objectives for drug development.

Token Sale