Imaginaries of power and media networks: dialogues between the Creative Time Summit and Brazil

No campo da pesquisa em comunicação, especificamente no âmbito dos estudos do imaginário, observamos o surgimento de discussões que problematizam temas como arte, iconoclasmo, imagem e poder. Neste cenário, o artigo tem como objetivo desenvolver um estudo transversal sobre os imaginários de poder nas redes midiáticas. Através de mapeamentos das imagens e discursos presentes nas redes do Creative Time Summit, o artigo propõe relações com projetos brasileiros, baseando-se no conceito de imaginário de Durand e adotando como metodologia de análise a cartografia dos processos de comunicação e compartilhamento do imaginário desenvolvida por Leão. Nosso argumento é que as guerras das imagens, a criação de imagens nas comunidades, a compreensão processual e a formulação de pactos que compreendem as relações entre natureza e cultura configuram eixos de análise nas redes midiáticas capazes de revelar as complexas tramas dos imaginários do poder de nossa época.In communication research field, specifically in the scope of the imagery studies, we observe the emergence of discussions that problematize issues such as art, iconoclasm, image and power. In this scenario, the article aims to develop a transverse study on the imaginaries of power in media networks. Through a mapping process of the images and discourses present in the Creative Time Summit networks, the article proposes relations with Brazilian projects. Based on Durand's concept of imagery, it adopts as a methodology of analysis the cartography of the communication processes and imaginary sharing developed by Leão. Our argument is that the wars of images, the image creation in the communities, the processual understanding and the formulation of pacts that comprise the relations between nature and culture configure axes of analysis in media networks capable of revealing the complex plots of the imaginaries of power of our time.In communication research field, specifically in the scope of the imagery studies, we observe the emergence of discussions that problematize issues such as art, iconoclasm, image and power. In this scenario, the article aims to develop a transverse study on the imaginaries of power in media networks. Through a mapping process of the images and discourses present in the Creative Time Summit networks, the article proposes relations with Brazilian projects. Based on Durand's concept of imagery, it adopts as a methodology of analysis the cartography of the communication processes and imaginary sharing developed by Leão. Our argument is that the wars of images, the image creation in the communities, the processual understanding and the formulation of pacts that comprise the relations between nature and culture configure axes of analysis in media networks capable of revealing the complex plots of the imaginaries of power of our time.In communication research field, specifically in the scope of the imagery studies, we observe the emergence of discussions that problematize issues such as art, iconoclasm, image and power. In this scenario, the article aims to develop a transverse study on the imaginaries of power in media networks. Through a mapping process of the images and discourses present in the Creative Time Summit networks, the article proposes relations with Brazilian projects. Based on Durand's concept of imagery, it adopts as a methodology of analysis the cartography of the communication processes and imaginary sharing developed by Leão. Our argument is that the wars of images, the image creation in the communities, the processual understanding and the formulation of pacts that comprise the relations between nature and culture configure axes of analysis in media networks capable of revealing the complex plots of the imaginaries of power of our time

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost