Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/50578 |
Resumo: | In 2020, the World Health Organization declared that the COVID-19 pandemic become a public health emergency of international concern. Thus, investments from various countries and continents have emerged in research projects and technological innovation aimed at mitigating this global problem. This article aims to evaluate the Science, Technology and Innovation (ST&I) projects concerning solutions using Artificial Intelligence (IA) and related technology to fight COVID-19 that received funding in the period from 2020 to 2022 and were registered on the Orbit Insight platform. Regarding the institutions responsible for the projects, 50% are companies, 23% are institutes, 20% are universities, and 7% are from the United States government. Regarding the countries that have invested the most, 57.14% are funded by the European Commission and 42.86% are funded by the United States. |
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Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19Análise de Projetos de Pesquisa com Foco em Inteligência Artificial e Tecnologias Digitais Para Combater a COVID-19Covid-19Pesquisa e InovaçãoTecnologia.Covid-19Research and InnovationTechnology.In 2020, the World Health Organization declared that the COVID-19 pandemic become a public health emergency of international concern. Thus, investments from various countries and continents have emerged in research projects and technological innovation aimed at mitigating this global problem. This article aims to evaluate the Science, Technology and Innovation (ST&I) projects concerning solutions using Artificial Intelligence (IA) and related technology to fight COVID-19 that received funding in the period from 2020 to 2022 and were registered on the Orbit Insight platform. Regarding the institutions responsible for the projects, 50% are companies, 23% are institutes, 20% are universities, and 7% are from the United States government. Regarding the countries that have invested the most, 57.14% are funded by the European Commission and 42.86% are funded by the United States.Em 2020, a Organização Mundial da Saúde (OMS) declarou a pandemia da COVID-19 como emergência de saúde pública internacional. Surgiram investimentos de vários países e continentes em projetos de pesquisa e inovação tecnológica com o objetivo de mitigar essa problemática global. Este artigo pretende avaliar os projetos de Pesquisa, Desenvolvimento e Inovação (PD&I) referentes às soluções de combate à COVID-19 que utilizam Inteligência Artificial (IA) e tecnologias relacionadas e que receberam financiamento no período de 2020 a 2022, além dos que foram registrados na plataforma Orbit Insight. Em relação aos executores dos projetos, identificou-se que 50% são empresas, 23% são institutos, 20% são universidades e 7% fazem parte do governo dos Estados Unidos. Em relação aos países que mais investiram, 57,14% são financiadores da Comissão Europeia e 42,86% são dos Estados Unidos.Universidade Federal da Bahia2023-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/5057810.9771/cp.v16i2.50578Cadernos de Prospecção; Vol. 16 No. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 455-471Cadernos de Prospecção; v. 16 n. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 455-4712317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/50578/28545Copyright (c) 2023 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess Pereira, Karla Susiane dos SantosMelo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves2023-03-15T23:03:43Zoai:ojs.periodicos.ufba.br:article/50578Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2023-03-15T23:03:43Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 Análise de Projetos de Pesquisa com Foco em Inteligência Artificial e Tecnologias Digitais Para Combater a COVID-19 |
title |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
spellingShingle |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 Pereira, Karla Susiane dos Santos Covid-19 Pesquisa e Inovação Tecnologia. Covid-19 Research and Innovation Technology. |
title_short |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
title_full |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
title_fullStr |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
title_full_unstemmed |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
title_sort |
Analysis of Research Projects Focusing on Artificial Intelligence and Digital Technologies to Fight COVID-19 |
author |
Pereira, Karla Susiane dos Santos |
author_facet |
Pereira, Karla Susiane dos Santos Melo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves |
author_role |
author |
author2 |
Melo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Pereira, Karla Susiane dos Santos Melo, Daniel Reis Armond de Vilela Junior, Dalton Chaves Rodrigues, Lana Goncalves |
dc.subject.por.fl_str_mv |
Covid-19 Pesquisa e Inovação Tecnologia. Covid-19 Research and Innovation Technology. |
topic |
Covid-19 Pesquisa e Inovação Tecnologia. Covid-19 Research and Innovation Technology. |
description |
In 2020, the World Health Organization declared that the COVID-19 pandemic become a public health emergency of international concern. Thus, investments from various countries and continents have emerged in research projects and technological innovation aimed at mitigating this global problem. This article aims to evaluate the Science, Technology and Innovation (ST&I) projects concerning solutions using Artificial Intelligence (IA) and related technology to fight COVID-19 that received funding in the period from 2020 to 2022 and were registered on the Orbit Insight platform. Regarding the institutions responsible for the projects, 50% are companies, 23% are institutes, 20% are universities, and 7% are from the United States government. Regarding the countries that have invested the most, 57.14% are funded by the European Commission and 42.86% are funded by the United States. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/50578 10.9771/cp.v16i2.50578 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/50578 |
identifier_str_mv |
10.9771/cp.v16i2.50578 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/50578/28545 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 16 No. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 455-471 Cadernos de Prospecção; v. 16 n. 2 (2023): Edição Especial Covid 19 - O Mundo Pós Pandemia; 455-471 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
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