Countering Public Grant Fraud in Spain: Machine Learning for Assessing Risks and Targeting Control Activities
In the wake of the COVID-19 pandemic, governments face both old and new fraud risks, some at unprecedented levels, linked to spending on relief and recovery. Public grant programmes are a high-risk area, where any fraud ultimately diverts taxpayers' money away from essential support for individ...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Paris
OECD Publishing
2021
|
| Schriftenreihe: | OECD Public Governance Reviews
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Zusammenfassung: | In the wake of the COVID-19 pandemic, governments face both old and new fraud risks, some at unprecedented levels, linked to spending on relief and recovery. Public grant programmes are a high-risk area, where any fraud ultimately diverts taxpayers' money away from essential support for individuals and businesses. This report identifies how Spain's General Comptroller of the State Administration (Intervención General de la Administración del Estado, IGAE) could better identify and control for grant fraud risks. It demonstrates how innovative machine learning techniques can support the IGAE in enhancing its assessment of fraud risks in grant data. It presents a working risk model, developed with datasets at the IGAE's disposal, and maps datasets it could use in the future. The report also considers the preconditions for advanced analytics and risk assessments, including ways for the IGAE to improve its data governance and data management |
| Beschreibung: | 1 Online-Ressource (87 Seiten) 21 x 28cm |
| ISBN: | 9789264604704 9789264374669 9789264554368 |
| DOI: | 10.1787/0ea22484-en |
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| id | DE-604.BV047928114 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:34:54Z |
| indexdate | 2024-12-18T19:02:01Z |
| institution | BVB |
| isbn | 9789264604704 9789264374669 9789264554368 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033309607 |
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| physical | 1 Online-Ressource (87 Seiten) 21 x 28cm |
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| publishDate | 2021 |
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| spelling | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities Organisation for Economic Co-operation and Development Paris OECD Publishing 2021 1 Online-Ressource (87 Seiten) 21 x 28cm txt rdacontent c rdamedia cr rdacarrier OECD Public Governance Reviews In the wake of the COVID-19 pandemic, governments face both old and new fraud risks, some at unprecedented levels, linked to spending on relief and recovery. Public grant programmes are a high-risk area, where any fraud ultimately diverts taxpayers' money away from essential support for individuals and businesses. This report identifies how Spain's General Comptroller of the State Administration (Intervención General de la Administración del Estado, IGAE) could better identify and control for grant fraud risks. It demonstrates how innovative machine learning techniques can support the IGAE in enhancing its assessment of fraud risks in grant data. It presents a working risk model, developed with datasets at the IGAE's disposal, and maps datasets it could use in the future. The report also considers the preconditions for advanced analytics and risk assessments, including ways for the IGAE to improve its data governance and data management Governance Spain https://doi.org/10.1787/0ea22484-en Verlag kostenfrei Volltext |
| spellingShingle | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities Governance Spain |
| title | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities |
| title_auth | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities |
| title_exact_search | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities |
| title_exact_search_txtP | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities |
| title_full | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities Organisation for Economic Co-operation and Development |
| title_fullStr | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities Organisation for Economic Co-operation and Development |
| title_full_unstemmed | Countering Public Grant Fraud in Spain Machine Learning for Assessing Risks and Targeting Control Activities Organisation for Economic Co-operation and Development |
| title_short | Countering Public Grant Fraud in Spain |
| title_sort | countering public grant fraud in spain machine learning for assessing risks and targeting control activities |
| title_sub | Machine Learning for Assessing Risks and Targeting Control Activities |
| topic | Governance Spain |
| topic_facet | Governance Spain |
| url | https://doi.org/10.1787/0ea22484-en |