{"id":3419,"date":"2022-09-12T23:13:58","date_gmt":"2022-09-12T13:13:58","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/"},"modified":"2026-04-30T12:39:59","modified_gmt":"2026-04-30T02:39:59","slug":"show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam","status":"publish","type":"post","link":"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","title":{"rendered":"Mostre-me o caminho: Big Data revela as escolas de maior risco no Vietn\u00e3"},"content":{"rendered":"

Em tr\u00eas cidades vietnamitas com mais de 9 milh\u00f5es de habitantes, como podemos come\u00e7ar a identificar as zonas escolares de maior risco e as crian\u00e7as que as frequentam diariamente para combater a principal causa de morte entre jovens \u2013 os acidentes de tr\u00e2nsito? A resposta? Big Data.<\/p>\n

Uma metodologia de triagem de Big Data, desenvolvida como parte do projeto AI&Me, possibilitou a an\u00e1lise remota de grandes volumes de dados para as cidades de Ho Chi Minh, Pleiku e Yen Bai. A an\u00e1lise identificou as 106 escolas de maior risco para investiga\u00e7\u00e3o mais aprofundada em seguran\u00e7a vi\u00e1ria e priorizou investimentos a partir de um total de 1.063 escolas analisadas.<\/p>\n

Com base nas descobertas, o projeto atribuir\u00e1 uma classifica\u00e7\u00e3o por estrelas \u00e0 seguran\u00e7a das escolas que utilizam o Star Rating for Schools<\/a> O projeto inclui um aplicativo piloto da YEA para engajamento juvenil, com 1.800 alunos mapeando os locais onde se sentem seguros e inseguros no caminho para a escola, e uma parceria com autoridades governamentais locais para implementar melhorias na infraestrutura de 18 escolas priorit\u00e1rias.<\/p>\n

Fontes de big data est\u00e3o se tornando mais acess\u00edveis e fornecem informa\u00e7\u00f5es sobre uma ampla gama de elementos do ambiente urbano que podem representar um risco para a seguran\u00e7a vi\u00e1ria. Trabalhar com big data para identificar locais de alto risco \u00e9 uma maneira eficiente e eficaz de ampliar avalia\u00e7\u00f5es em n\u00edvel de cidade, regi\u00e3o ou pa\u00eds.<\/p>\n

A metodologia utilizou fontes de big data, particularmente dados telem\u00e1ticos e de sat\u00e9lite, para coletar atributos de estradas, infraestrutura e sociodemogr\u00e1ficos e sinalizar escolas de risco onde a combina\u00e7\u00e3o dos elementos ambientais poderia representar um risco para os alunos.<\/p>\n

Os atributos foram classificados por risco em quatro n\u00edveis, uma abordagem que ajudou a economizar custos e esfor\u00e7o de an\u00e1lise. O n\u00edvel um inclu\u00eda informa\u00e7\u00f5es dispon\u00edveis gratuitamente e, \u00e0 medida que os n\u00edveis progrediam e o escopo era reduzido, dados mais complexos, dispendiosos e detalhados podiam ser coletados e analisados de forma muito mais focada.<\/p>\n

\u201cEssa abordagem nos permitiu definir o escopo de como a an\u00e1lise foi feita e aproveitar o grande volume de dados dispon\u00edvel para analisar e comparar 1.063 escolas. Tamb\u00e9m nos deu a capacidade de focar e avaliar uma s\u00e9rie de par\u00e2metros de risco em larga escala e no n\u00edvel de cada escola individualmente em todo o Vietn\u00e3\u201d, disse Peter Jamieson, Diretor Executivo da empresa de an\u00e1lise de dados, Anditi<\/a>.<\/p>\n

\"Ai&Me\"Levels<\/p>\n

Progress\u00e3o dos n\u00edveis e altera\u00e7\u00f5es no \u00e2mbito da an\u00e1lise \u2013 Fonte das imagens: Anditi e iRAP<\/em><\/p>\n

Shanna Lucchesi, Gerente de Projetos AI&Me da International Road Assessment Programme (iRAP<\/a>) afirmou que, at\u00e9 onde sabemos, esta \u00e9 a primeira vez que uma metodologia de big data foi desenvolvida e testada para avaliar o risco da infraestrutura vi\u00e1ria em torno de escolas.<\/p>\n

\u201cAs tr\u00eas cidades s\u00e3o muito diferentes em tamanho e complexidade, o que comprova a flexibilidade da metodologia para se adaptar a diferentes contextos\u201d, disse a Sra. Lucchesi.<\/p>\n

\u201c<\/em>Estamos muito entusiasmados por implementar o programa AI&Me no Vietname, onde poderemos usar o Big Data para mudar a forma como pensamos, abordamos e resolvemos a crise rodovi\u00e1ria\u201d, afirmou Trang Truong, Gestora de Projetos AI&Me. Funda\u00e7\u00e3o AIP<\/a>.<\/p>\n

\u201cAs ag\u00eancias governamentais locais tamb\u00e9m coletaram informa\u00e7\u00f5es sobre mortes de pedestres e o n\u00famero de estudantes. A metodologia foi compartilhada com nossos parceiros governamentais locais e escolas no Vietn\u00e3. A pesquisa p\u00f3s-treinamento mostrou que 861 participantes consideraram a metodologia de triagem de Big Data apresentada no treinamento \u00fatil ou muito \u00fatil para que as partes interessadas do governo identifiquem comunidades e locais de alto risco com mais facilidade.\u201d.<\/p>\n

\u201cA metodologia n\u00e3o s\u00f3 revelou informa\u00e7\u00f5es interessantes para aplica\u00e7\u00e3o no Vietname, como tamb\u00e9m foi concebida para ser escal\u00e1vel, transfer\u00edvel, acess\u00edvel e f\u00e1cil de aplicar em qualquer lugar, em conjunto com a aplica\u00e7\u00e3o iRAP Star Rating for Schools (SR4S), para refinar uma lista de prioridades de locais para avalia\u00e7\u00f5es detalhadas\u201c, afirmou a Sra. Lucchesi.<\/p>\n

\u201cJuntamente com o SR4S, o m\u00e9todo ajudar\u00e1 os tomadores de decis\u00e3o a fazer escolhas eficazes e baseadas em evid\u00eancias sobre onde concentrar os esfor\u00e7os em seguran\u00e7a rodovi\u00e1ria, vinculando-os \u00e0s interven\u00e7\u00f5es de maior impacto e mais custo-efetivas para salvar vidas de crian\u00e7as\u201d, disse ela.<\/p>\n

Os acidentes rodovi\u00e1rios afetam desproporcionalmente os jovens, sendo a principal causa de morte entre pessoas de 5 a 29 anos em todo o mundo.<\/p>\n

A combina\u00e7\u00e3o de condi\u00e7\u00f5es rodovi\u00e1rias inseguras perto de escolas, a vulnerabilidade especial das crian\u00e7as e a elevada toler\u00e2ncia ao risco dos jovens condutores exp\u00f5em os jovens ao risco di\u00e1rio de les\u00f5es e morte nas estradas.<\/p>\n

Estima-se que 500 crian\u00e7as morram diariamente nas estradas do mundo e mais de 10.000 sofram ferimentos com consequ\u00eancias para toda a vida, o que acarreta enormes implica\u00e7\u00f5es econ\u00f4micas e sociais para as gera\u00e7\u00f5es futuras.<\/p>\n

Apesar desses n\u00edveis inaceit\u00e1veis de trauma juvenil, a verdadeira dimens\u00e3o do problema muitas vezes permanece oculta \u00e0 consci\u00eancia da comunidade, al\u00e9m de parecer grande demais para ser enfrentada.<\/p>\n

A Sra. Lucchesi afirmou que pode ser extremamente dif\u00edcil para os governos saberem por onde come\u00e7ar a priorizar a seguran\u00e7a e para quem, e decidir onde concentrar o investimento em modifica\u00e7\u00f5es rodovi\u00e1rias ou fiscaliza\u00e7\u00e3o.<\/p>\n

\u201cO Projeto Ai&Me \u00e9 empolgante n\u00e3o apenas por sua abordagem inovadora de big data, mas tamb\u00e9m pelo envolvimento abrangente de todas as pessoas impactadas e capazes de ajudar \u2013 desde os alunos, passando pelos administradores escolares, representantes do governo local respons\u00e1veis e com poder para tomar decis\u00f5es de investimento, at\u00e9 especialistas globais em seguran\u00e7a vi\u00e1ria e dados com o conhecimento mais recente. Todos est\u00e3o se unindo para proteger os mais vulner\u00e1veis nas proximidades das escolas e apoiar a tomada de decis\u00f5es governamentais.\u201d.<\/p>\n

\u201cEstamos entusiasmados com a metodologia de Big Data, com os insights que ela revelou e com as melhorias de seguran\u00e7a vi\u00e1ria altamente direcionadas que ela possibilitar\u00e1 nas tr\u00eas cidades. Tamb\u00e9m estamos entusiasmados com seu potencial global para tornar os trajetos escolares mais seguros da maneira mais eficaz em termos de custo, muito al\u00e9m das fronteiras do Vietn\u00e3\u201d, disse a Sra. Lucchesi.<\/p>\n

A metodologia foi desenvolvida como parte do AI&Me: Projeto para Capacitar Jovens em Estradas Mais Seguras<\/a> fundada por Funda\u00e7\u00e3o Botnar<\/a> e FIA Foundation<\/a>, liderado pela Funda\u00e7\u00e3o AIP e apoiado pela iRAP e pela ANDITI.<\/p>\n

Para obter mais informa\u00e7\u00f5es sobre a metodologia, fa\u00e7a o download do arquivo. Relat\u00f3rio sobre a metodologia de Big Data da AI&Me aqui<\/a>.<\/p>\n

Tamb\u00e9m ser\u00e1 apresentado em Confer\u00eancia Internacional Walk21<\/a> O evento ser\u00e1 realizado na pr\u00f3xima semana, de 19 a 23 de setembro, em Dublin.<\/p>\n

Fonte da imagem do cabe\u00e7alho: Vuong B\u00f9i no Pixabay<\/em><\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

In three Vietnamese cities homing over 9 million people, how can we begin to identify the highest risk school zones and the children who use them daily to tackle the leading killer of youth \u2013 road traffic crashes. The answer? Big Data. A Big Data Screening Methodology developed as part of the AI&Me Project has […]<\/p>\n","protected":false},"author":10,"featured_media":3420,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[28,266],"tags":[267,337,438,147,291,341,201,342,311,622],"class_list":["post-3419","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-news","category-airap","tag-ai","tag-aime","tag-aip-foundation","tag-airap","tag-anditi","tag-schools","tag-sr4s","tag-star-rating-for-schools","tag-vietnam","tag-yea"],"acf":[],"yoast_head":"\nShow me the way: Big Data reveals highest-risk schools in Vietnam - iRAP<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Show me the way: Big Data reveals highest-risk schools in Vietnam\" \/>\n<meta property=\"og:description\" content=\"In three Vietnamese cities homing over 9 million people, how can we begin to identify the highest risk school zones and the children who use them daily to tackle the leading killer of youth \u2013 road traffic crashes. The answer? Big Data. A Big Data Screening Methodology developed as part of the AI&Me Project has […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/\" \/>\n<meta property=\"og:site_name\" content=\"iRAP\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/iRAPfb\" \/>\n<meta property=\"article:published_time\" content=\"2022-09-12T13:13:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-30T02:39:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"900\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"judy.williams\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@irapsavinglives\" \/>\n<meta name=\"twitter:site\" content=\"@irapsavinglives\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"judy.williams\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/\"},\"author\":{\"name\":\"judy.williams\",\"@id\":\"https:\\\/\\\/irap.org\\\/#\\\/schema\\\/person\\\/208fb306333d9cd17c99483de8dfeecb\"},\"headline\":\"Show me the way: Big Data reveals highest-risk schools in Vietnam\",\"datePublished\":\"2022-09-12T13:13:58+00:00\",\"dateModified\":\"2026-04-30T02:39:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/\"},\"wordCount\":965,\"publisher\":{\"@id\":\"https:\\\/\\\/irap.org\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/pixabay-children-4467669-Vuong-Bui-COMP.jpg\",\"keywords\":[\"AI\",\"AI&Me\",\"AIP Foundation\",\"AiRAP\",\"Anditi\",\"schools\",\"sr4s\",\"star rating for schools\",\"Vietnam\",\"Yea\"],\"articleSection\":[\"Global News\",\"AiRAP\"],\"inLanguage\":\"pt-BR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/\",\"url\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/\",\"name\":\"Show me the way: Big Data reveals highest-risk schools in Vietnam - iRAP\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/irap.org\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/pixabay-children-4467669-Vuong-Bui-COMP.jpg\",\"datePublished\":\"2022-09-12T13:13:58+00:00\",\"dateModified\":\"2026-04-30T02:39:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#primaryimage\",\"url\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/pixabay-children-4467669-Vuong-Bui-COMP.jpg\",\"contentUrl\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/pixabay-children-4467669-Vuong-Bui-COMP.jpg\",\"width\":900,\"height\":600},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/irap.org\\\/nl\\\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"AiRAP\",\"item\":\"https:\\\/\\\/irap.org\\\/category\\\/airap\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Show me the way: Big Data reveals highest-risk schools in Vietnam\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/irap.org\\\/#website\",\"url\":\"https:\\\/\\\/irap.org\\\/\",\"name\":\"iRAP\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/irap.org\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/irap.org\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/irap.org\\\/#organization\",\"name\":\"iRAP\",\"url\":\"https:\\\/\\\/irap.org\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/irap.org\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/Logo.svg\",\"contentUrl\":\"https:\\\/\\\/irap.org\\\/wp-content\\\/uploads\\\/2026\\\/01\\\/Logo.svg\",\"width\":112,\"height\":48,\"caption\":\"iRAP\"},\"image\":{\"@id\":\"https:\\\/\\\/irap.org\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/iRAPfb\",\"https:\\\/\\\/x.com\\\/irapsavinglives\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/irap\\\/\"],\"description\":\"The International Road Assessment Programme (iRAP) is a global charity dedicated to eliminating high\u2011risk roads and saving lives. We provide world-leading methodologies and tools for measuring and managing road infrastructure safety, and we work in partnership with governments, road authorities, development banks, research institutions, and civil society to make the world\u2019s roads safer for everyone.\",\"email\":\"icanhelp@irap.org\",\"legalName\":\"International Road Assessment Programme\",\"vatID\":\"GB 944 6050 25\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"11\",\"maxValue\":\"50\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/irap.org\\\/#\\\/schema\\\/person\\\/208fb306333d9cd17c99483de8dfeecb\",\"name\":\"judy.williams\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g\",\"caption\":\"judy.williams\"},\"url\":\"https:\\\/\\\/irap.org\\\/pt\\\/author\\\/judy-williams\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Show me the way: Big Data reveals highest-risk schools in Vietnam - iRAP","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","og_locale":"pt_BR","og_type":"article","og_title":"Show me the way: Big Data reveals highest-risk schools in Vietnam","og_description":"In three Vietnamese cities homing over 9 million people, how can we begin to identify the highest risk school zones and the children who use them daily to tackle the leading killer of youth \u2013 road traffic crashes. The answer? Big Data. A Big Data Screening Methodology developed as part of the AI&Me Project has […]","og_url":"https:\/\/irap.org\/pt\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","og_site_name":"iRAP","article_publisher":"https:\/\/www.facebook.com\/iRAPfb","article_published_time":"2022-09-12T13:13:58+00:00","article_modified_time":"2026-04-30T02:39:59+00:00","og_image":[{"width":900,"height":600,"url":"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg","type":"image\/jpeg"}],"author":"judy.williams","twitter_card":"summary_large_image","twitter_creator":"@irapsavinglives","twitter_site":"@irapsavinglives","twitter_misc":{"Escrito por":"judy.williams","Est. tempo de leitura":"5 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#article","isPartOf":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/"},"author":{"name":"judy.williams","@id":"https:\/\/irap.org\/#\/schema\/person\/208fb306333d9cd17c99483de8dfeecb"},"headline":"Show me the way: Big Data reveals highest-risk schools in Vietnam","datePublished":"2022-09-12T13:13:58+00:00","dateModified":"2026-04-30T02:39:59+00:00","mainEntityOfPage":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/"},"wordCount":965,"publisher":{"@id":"https:\/\/irap.org\/#organization"},"image":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#primaryimage"},"thumbnailUrl":"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg","keywords":["AI","AI&Me","AIP Foundation","AiRAP","Anditi","schools","sr4s","star rating for schools","Vietnam","Yea"],"articleSection":["Global News","AiRAP"],"inLanguage":"pt-BR"},{"@type":"WebPage","@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","url":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/","name":"Show me the way: Big Data reveals highest-risk schools in Vietnam - iRAP","isPartOf":{"@id":"https:\/\/irap.org\/#website"},"primaryImageOfPage":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#primaryimage"},"image":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#primaryimage"},"thumbnailUrl":"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg","datePublished":"2022-09-12T13:13:58+00:00","dateModified":"2026-04-30T02:39:59+00:00","breadcrumb":{"@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#primaryimage","url":"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg","contentUrl":"https:\/\/irap.org\/wp-content\/uploads\/2026\/04\/pixabay-children-4467669-Vuong-Bui-COMP.jpg","width":900,"height":600},{"@type":"BreadcrumbList","@id":"https:\/\/irap.org\/nl\/show-me-the-way-big-data-reveals-highest-risk-schools-in-vietnam\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"AiRAP","item":"https:\/\/irap.org\/category\/airap\/"},{"@type":"ListItem","position":2,"name":"Show me the way: Big Data reveals highest-risk schools in Vietnam"}]},{"@type":"WebSite","@id":"https:\/\/irap.org\/#website","url":"https:\/\/irap.org\/","name":"iRAP","description":"","publisher":{"@id":"https:\/\/irap.org\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/irap.org\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/irap.org\/#organization","name":"iRAP","url":"https:\/\/irap.org\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/irap.org\/#\/schema\/logo\/image\/","url":"https:\/\/irap.org\/wp-content\/uploads\/2026\/01\/Logo.svg","contentUrl":"https:\/\/irap.org\/wp-content\/uploads\/2026\/01\/Logo.svg","width":112,"height":48,"caption":"iRAP"},"image":{"@id":"https:\/\/irap.org\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/iRAPfb","https:\/\/x.com\/irapsavinglives","https:\/\/www.linkedin.com\/company\/irap\/"],"description":"A International Road Assessment Programme (iRAP) \u00e9 uma organiza\u00e7\u00e3o beneficente global dedicada a eliminar estradas de alto risco e salvar vidas. Fornecemos metodologias e ferramentas de ponta para medir e gerenciar a seguran\u00e7a da infraestrutura rodovi\u00e1ria e trabalhamos em parceria com governos, autoridades rodovi\u00e1rias, bancos de desenvolvimento, institui\u00e7\u00f5es de pesquisa e a sociedade civil para tornar as estradas do mundo mais seguras para todos.","email":"icanhelp@irap.org","legalName":"International Road Assessment Programme","vatID":"GB 944 6050 25","numberOfEmployees":{"@type":"QuantitativeValue","minValue":"11","maxValue":"50"}},{"@type":"Person","@id":"https:\/\/irap.org\/#\/schema\/person\/208fb306333d9cd17c99483de8dfeecb","name":"judy.williams","image":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/secure.gravatar.com\/avatar\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/2d470caf7b9f125848f9c9dcd8667929c075f3244431b100b5afa57fd43e24b4?s=96&d=mm&r=g","caption":"judy.williams"},"url":"https:\/\/irap.org\/pt\/author\/judy-williams\/"}]}},"_links":{"self":[{"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/posts\/3419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/comments?post=3419"}],"version-history":[{"count":1,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/posts\/3419\/revisions"}],"predecessor-version":[{"id":6796,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/posts\/3419\/revisions\/6796"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/media\/3420"}],"wp:attachment":[{"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/media?parent=3419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/categories?post=3419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/irap.org\/pt\/wp-json\/wp\/v2\/tags?post=3419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}