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SEEVCA

Self-Enforcing Electronic Voting For Commercial Applications

Total Cost €

EC-Contrib. €

Partnership

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SEEVCA project word cloud

Explore the words cloud of the SEEVCA project. It provides you a very rough idea of what is the project "SEEVCA" about.

democracy worldwide brazil enforcing teaching verifiable defects student seev india national course schools applicable voting accounts patentable protecting newcastle potentially university trialled successfully fee vcv digital prototype companies campus sustain positive commercialise made unverifiable revenues age underlying additional classroom governments invented feedbacks computing serve countries premium commercially created advertisements technologies universities starting erc customized 106591 free trusted basic proof received extend usa plan elections upgrade cover small professional ipr bundled team pi security commercialising tallying paradigm grant services self democratic

Project "SEEVCA" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY OF NEWCASTLE UPON TYNE Organization address address: KINGS GATE city: NEWCASTLE UPON TYNE postcode: NE1 7RU website: http://www.ncl.ac.uk/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	149˙860 €
EC max contribution	149˙860 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2015-PoC
Funding Scheme	ERC-POC
Starting year	2015
Duration (year-month-day)	from 2015-12-01 to 2017-05-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY OF NEWCASTLE UPON TYNE UNIVERSITY OF NEWCASTLE UPON TYNE Organization address address: KINGS GATE city: NEWCASTLE UPON TYNE postcode: NE1 7RU website: http://www.ncl.ac.uk/ contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (NEWCASTLE UPON TYNE)	coordinator	149˙860.00

Map

Project objective

This project aims to commercialise Self-Enforcing E-Voting (SEEV), a new paradigm of verifiable e-voting technologies without involving any trusted tallying authorities (invented under the ERC starting grant No. 106591), for classroom voting and related applications. A prototype of a Verifiable Classroom Voting (VCV) system, based on the SEEV technology, has been developed by the PI's team at Newcastle University, and in the past two years has been successfully trialled in real classroom teaching within the campus with very positive student feedbacks. With the funding support from this Proof of Concept project, we plan to extend this VCV prototype to make it commercially available to all universities and schools, with basic user accounts provided for free, while premium user accounts will be available for a fee but bundled with dedicated support and more computing resources. Additional revenues include advertisements and professional services (which provide customized VCV to companies, organizations and governments for various voting applications). The received revenues will be used to maintain/upgrade the system, sustain the growth in users and cover the cost of creating and protecting the IPR on SEEV (several potentially patentable developments on SEEV are being made in the ERC project). Although the focus of this proposal is on classroom voting and similar small-scale elections, the underlying SEEV technology is also applicable to large-scale elections. It has the promising potential to address many security defects in today's (unverifiable) e-voting products that have been widely used many democratic countries (e.g., USA, Brazil and India). The IPR created during the course of this project will serve our long-term goal of commercialising SEEV for large-scale national elections and enhancing worldwide democracy in a digital age.

Publications

List of publications.
year	authors and title	journal	last update
2017	Patrick McCorry, Siamak F. Shahandashti and Feng Hao A Smart Contract for Boardroom Voting with Maximum Voter Privacy published pages: , ISSN: , DOI:	the 21st International Conference on Financial Cryptography and Data Security (FC\'17)	2019-07-25
2017	Feng Hao, Dylan Clarke, Brian Randell, Siamak Shahandashti Verifiable Classroom Voting in Practice published pages: , ISSN: 1540-7993, DOI:	IEEE Security and Privacy	2019-07-25

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