Training and modernisation of public administrations and services – SATDAP – Training of Public Administration (Q2913556): Difference between revisions

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(‎Removed claim: budget (P474): 254,972.96 euro)
(‎Changed an Item: modifying budgets in portugal one item from slovenia)
Property / budget
 
299,968.0 Euro
Amount299,968.0 Euro
UnitEuro
Property / budget: 299,968.0 Euro / rank
 
Normal rank
Property / EU contribution
 
254,973.0 Euro
Amount254,973.0 Euro
UnitEuro
Property / EU contribution: 254,973.0 Euro / rank
 
Normal rank
Property / co-financing rate
 
85.0 percent
Amount85.0 percent
Unitpercent
Property / co-financing rate: 85.0 percent / rank
 
Normal rank

Revision as of 23:08, 21 October 2021

Project Q2913556 in Portugal
Language Label Description Also known as
English
Training and modernisation of public administrations and services – SATDAP – Training of Public Administration
Project Q2913556 in Portugal

    Statements

    country
    Portugal
    0 references
    EU contribution
    254,973.0 Euro
    0 references
    budget
    299,968.0 Euro
    0 references
    co-financing rate
    85.0 percent
    0 references
    start time
    1 January 2020
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    end time
    30 September 2021
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    beneficiary name (string)
    IAPMEI - AGÊNCIA PARA A COMPETITIVIDADE E INOVAÇÃO, I.P.
    0 references
    beneficiary
    Q2986199 (Deleted Item)
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    fund
    European Social Fund
    0 references
    coordinate location

    41°8'58.02"N, 8°36'38.84"W
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    summary
    O projeto IA-SI tem por objetivo melhorar a gestão dos riscos na fase de análise de pedidos de pagamento dos beneficiários dos sistemas de incentivos do Portugal 2020, com recurso a técnicas de aprendizagem automática. Pretende-se desenvolver soluções baseadas em modelos de previsão sobre fiabilidade de elegibilidade de despesas e sobre antecipação de riscos de cumprimento de objetivos, a utilizar na gestão de incentivos. (Portuguese)
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    The IA-SI project aims to improve risk management in the analysis phase of payment requests from beneficiaries of Portugal 2020 incentive systems, using machine learning techniques. The aim is to develop solutions based on forecasting models on the reliability of eligibility of expenditure and on anticipating risks of meeting targets, to be used in the management of incentives. (English)
    point in time
    8 July 2021
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    location (string)
    Porto
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    Identifiers

    Portuguese Kohesio ID
    POCI-05-5762-FSE-000231
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