Titulo: Jogos de Negócios Berrini T16
Alunos:Daniela Cristina silva,Fernando Silva Barreto,Flávia Ribeiro dos Santos Jacobsem,Rafael Silveira Leal,
Cidade: Berrini
Disciplina: Jogos Negócios
Turma: GEEP16
Data:15-09-2015
Hora:20:53
Comentarios:Professor, segue o nosso trabalho de Jogos de Negócios da Turma de Gestão de Projetos (Berrini - T16). Participantes: Daniela Silva, Fernando Barreto, Flavia Jacobsem e Rafael Leal.
Muitíssimo obrigado pelos ensinamentos.
Caso tenha algum problema, favor informar.
Grande abraço,
Rafael Leal
Publico até ápos a correção
NYUs Center for Data Science Lunch Seminar, Dec 14th, 2016
Researchers have used large quantities of online data to study dynamics in novel ways. Consider the specific case of online networked individuals (e.g., users of Twitter, Instagram, Flickr). Can their social dynamics be used to build better tools for future cities? To answer this question, our research has focused on understanding how people psychologically experience cities. As a result, we have created new mapping tools that leverage senses and emotions, thus complementing the corporate idea of an efficient and predictable smart city, with the ultimate goal of reaching urban happiness. The work presented in this talk mixes data mining, urban informatics, and computational social science to show how a creative use of social media and network-generated data can capture the aesthetic, olfactory and sonic layers of our cities at scale.
Titulo: Jogos de Negócios Berrini T16
Alunos:Daniela Cristina silva,Fernando Silva Barreto,Flávia Ribeiro dos Santos Jacobsem,Rafael Silveira Leal,
Cidade: Berrini
Disciplina: Jogos Negócios
Turma: GEEP16
Data:15-09-2015
Hora:20:53
Comentarios:Professor, segue o nosso trabalho de Jogos de Negócios da Turma de Gestão de Projetos (Berrini - T16). Participantes: Daniela Silva, Fernando Barreto, Flavia Jacobsem e Rafael Leal.
Muitíssimo obrigado pelos ensinamentos.
Caso tenha algum problema, favor informar.
Grande abraço,
Rafael Leal
Publico até ápos a correção
NYUs Center for Data Science Lunch Seminar, Dec 14th, 2016
Researchers have used large quantities of online data to study dynamics in novel ways. Consider the specific case of online networked individuals (e.g., users of Twitter, Instagram, Flickr). Can their social dynamics be used to build better tools for future cities? To answer this question, our research has focused on understanding how people psychologically experience cities. As a result, we have created new mapping tools that leverage senses and emotions, thus complementing the corporate idea of an efficient and predictable smart city, with the ultimate goal of reaching urban happiness. The work presented in this talk mixes data mining, urban informatics, and computational social science to show how a creative use of social media and network-generated data can capture the aesthetic, olfactory and sonic layers of our cities at scale.
