Objective
Today Children communicate mainly through social media or mobile phones. Violence is prevalent in cyberspace and follows children everywhere. According to the 2015 UN survey 35% of children have been victims of social networks shaming. It's a well known fact that parents today lack tools to cope with the advancing technology.
Every 7 minutes a child is harassed on the internet
80% Of cyberbullying cases are not reported
70% Admit they are affected by cyberbullying
Keepers enables parents to monitor their child's mobile phone usage and become aware of any shaming/bullying phenomena their child might experience by spotting and filtering problematic and abusive content.
Supervision and Monitoring - Keepers inspects the content the child is exposed to, analyzes it, and reports offensive langua
Concealed - Keepers app is hidden on the child's device
Analysis of Malicious Content - Keepers tracks and filters problematic content and sends appropriate alerts
Privacy - only pre-defined problem content is reported to preserve the child's independence
Dynamic Dictionary - Keepers adds specific words to the default local user dictionary based on parent settings.
Cross Platform Solution – Keepers detects incoming/outgoing messages on all social platform using the OCR algorithm
Consulting – Keepers connects parents with social services to help taekle any ongoing problems
Social Machine Learning - Keepers algorithm collect suggestions from various users and automatically learn to detect abusive content based on AI (artificial intelligence) and NLP (Natural Language Processing) technologies
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance public services
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences data science natural language processing
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
9692836 JERUSALEM
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.