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Project/Service Agreement:411553

Start Application Approved In Progress Completed Closed

Status
Estado ConcluídoCompleted
Publication
PublicadoPublished
General Data
Code: 71132
 
Application: r2-ehs370rzrl3k
 
Reference: 411553
Short name: Algorithmic Science News Agency
Title: Algorithmic Science News Agency: Algorithm based automated science short news stories generator
Competitive Funding: Yes
Does it involve businesses?: No
No. of Participating Institutions: 1
Scope
Type: Funded Project
 
Geographical Scope: International
 
Type of Action: Demonstration/Exploration
Funding
Programme: Digital News Initiative – Innovation Fund
Funding Institution: Google
Financial Geographical Scope: International
Scheduling
Planned Start Date: 2017-03-09
Effective Start Date: 2017-03-09
Expected Completion Date: 2018-08-31
Effective Completion Date: 2018-10-31
Budget
Currency: EUR
 
Total Approved Budget: 49.480,00 EUR
Details
Summary: Our project proposal lies on the use of algorithms to automate the creation of science news stories from the structured data that can be found in open
repositories of universities. We will be using the University of Porto Open Repository as a data source for the project development. All the
publications deposited in this repository are available in open access and covered by the Creative Commons public license.
The "Algorithmic Science News Agency" will collect available data and process it, identifying data markers as newsworthy elements and arranging
them so that by following a set of rules and templates it will be able to generate short stories, allowing for an increase of the amount of science news available.
The data in these repositories is highly complex and although natural language generation technology is evolving at a fast pace, domain experts will be called to ascertain the newsworthiness of the stories as well as help identify patterns and build different templates for a diverse catalog of science subjects and topics.
Observations: RESUMO: Our project proposal lies on the use of algorithms to automate the creation of science news stories from the structured data that can be found in open repositories of universities. We will be using the University of Porto Open Repository as a data source for the project development. All the publications deposited in this repository are available in open access and covered by the Creative Commons public license. The “Algorithmic Science News Agency” will collect available data and process it, identifying data markers as newsworthy elements and arranging them so that by following a set of rules and templates it will be able to generate short stories, allowing for an increase of the amount of science news available. The data in these repositories is highly complex and although natural language generation technology is evolving at a fast pace, domain experts will be called to ascertain the newsworthiness of the stories as well as help identify patterns and build different templates for a diverse catalog of science subjects and topics.
Scientific Context
Scientific Domain (FOS - Level 2): Social sciences > Media and communications

Academic fields (CORDIS - Level 5)

Mais informações There are no Academic Fields associated with the Project.

Keywords

Mais informações There are no Keywords associated with the Project.
Documents
Mais informações There are no Documents associated with the Project.

Publications associated with the Project

Institutions Participating in the Project
Institution Contact Create Tab?
Name Short name Country Type Participation Name Telephone Email
Reitoria da Universidade do Porto REIT Portugal University Proponent
 
Budgets and Teams
Approved Budget: 49.480,00 EUR
Approved Funded Amount: 49.480,00 EUR
Approved co-funded Amount: -
Funding Rate: 100 %
Confidential Budget:

People in the Project

Institution Name Short name Role Dedication (%) Contribution (%) Allocation
Start date End date
FBAUP Bruno Sérgio Gonçalves Giesteira BSG Researcher 10 10
FCUP Alípio Mário Guedes Jorge AMGJ Researcher 10 10
FEUP Sérgio Sobral Nunes SSN Official Researcher at the OU 20 20
FLUP Ana Isabel Crispim Mendes Reis AICMR Researcher 10 10
FLUP Helena Laura Dias de Lima HLDL Researcher 5 5
REIT Liliana Filipa Lemos Oliveira da Silva LFLOS Researcher 10 10
REIT Pedro Miguel Candeias da Silva PMCS Researcher 20 20

Technicians in the Project

Mais informações There are no Technicians associated with the Project.
Laboratories
Mais informações There are no Laboratories associated with the Project.
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