Júlia Giannella

Production in the field of data visualization takes place both in teaching and research and in the scope of professional practice. Thus, to record a comprehensive panel of this recent production, this publication has been organized into two sections. The first has seven chapters written by research professors who talk and reflect on their production in the classroom. These reports cross the three inseparable pillars that are the basis of academic knowledge - undergraduate, graduate and extension - and bring together a rich collection of experiences that can help in the theoretical-methodological maturation of an expanding area. The second section of the work includes an interview and six chapters written by professionals working in different contexts – from journalism to business management, including the arts – who share their experiences and design practices in the design and development of data visualization. This multifaceted, diverse and accessible panorama has the prospect of boosting production on data visualization developed in the country, disseminating the field inside and outside the academy.

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This project aims to develop interactive tools for the exploration and visual analysis of data applied to maternal and child health in the pre- and perinatal periods. In particular, it seeks to expand the traditional mortality model to include aspects related to emerging diseases, extreme climatic conditions and environmental problems

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The exhibition is an initiative of the Association of Graphic Designers of Brazil (ADG Brasil) and the Brazilian Society of Information Design (SBDI) and is guided by the need to bring together the best of Information Design projects, products, and services.

Its goal is to identify, gather, register and publish works that emphasize the applications of Information Design, carried out from January 1, 2019 until the date of submission of the proposal, by individuals (self-employed professionals and students of learning and graduate), private, public, mixed capital companies, civil society organizations and startups.

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In 2020, LabVis completed 10 years and the lab team were motivated to create a commemorative brand that reflected the labs's retrospective. The solution is a data-driven identity that takes on attributes from a data visualization. Through a process of research, conceptualization, visual coding and programming, a data visualizations brand were generated for each year of the Laboratory's trajectory.

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The Coral Vivo project, founded in 2003 by professors from the Museu Nacional/UFRJ, works towards the conservation and socio-environmental sustainability of Brazil's coral ecosystems. In 2020, Coral Vivo partnered with LabVis-UFRJ to develop an interactive data visualization to represent environmental monitoring on three reefs in Brazil. It is an unconventional data visualization that allows the user to explore the monitoring data both from illustrations of the different animals in the ecosystem and from the filter and selection resources available in the information panels.

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Fotovis is a tool for visualizing, exploring, and analyzing photographic collections. It is a partial result of a PhD thesis that investigated alternative, visual, and more generous browsing strategies — based on Digital Humanities — for digital tools. This paper discusses how Fotovis was conceived, developed (at the prototype level), and evaluated (at the interface level), through a user-centered approach and using a sample of photographs from the Moreira Salles Institute, an important Brazilian cultural entity.

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DatavizRio is a project of dissemination and teaching of data visualization practice by the design lens. We promote public and free meetups about theoretical, methodological, practical, and professional aspects of dataviz. We also offer teaching-learning activities in the area of ​​data visualization, including workshops and short courses.

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In 2020, we have seen a lot of data visualizations about Covid-19 in the media. The website “Coronaviz: visualization in times of Coronavirus” is an initiative by Visgraf, from the Institute of Pure and Applied Mathematics (IMPA), and disseminates curated content about Covid-19 from Mathematics and Information Design lens.

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Visgraf's theses database is a visual exploration of the Master and Ph.D Theses elaborated at the Vision and Computer Graphics Laboratory (Visgraf-IMPA) from 1990 to 2017.

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In June 2018, the Visgraf Laboratory from the Institute of Pure and Applied Mathematics (IMPA), and the Photography Department from Instituto Moreira Salles (IMS) signed a cooperation agreement focused on research and application development for the dissemination of the IMS photographic collection. This website reports the main results obtained under this agreement so far. We believe that both the lived experience and the results obtained in this process envision an unprecedented form of integration between two outstanding institutions in their respective areas of excellence: scientific and cultural, with mutual benefit in the context of today's complex technological and social transformations.

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VR Tour is a technological platform for the exploration of content in virtual reality. The project takes a practice-led and collaborative approach, whereby the main focus lies on production aspects of VR applications. The technological infrastructure used in VR Tour is based on the VR Kino+Theater platform that exploits concepts of Situated Participatory Virtual Reality and Live 3D Digital Cinema.

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In addition to conception and design of OBSERVATÓR!O2016 website and motivated by Luis Velho’s research concerns and initiative, the VISGRAF Lab is also interested in framing Rio-2016 data in the context of Deep Learning. Since the data collected are stored in their entirety, novel experiments and research topics are possible. In this sense, we inaugurated a second research line which involves Deep Learning approaches for attending computer vision tasks such as image classification.

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OBSERVATÓR!O2016 monitors and presents visualizations of large volumes of data about the Olympic Games collected mainly from Twitter. The project aims to highlight the multiplicity of perspectives, controversies and themes related to the sporting event and enhance cognition of the debate through structured and interactive visualizations. This project was developed at VISGRAF Laboratory and is is set in a line of research that seeks to structure big social data (visual and textual) and make it more accessible and discoverable through novel techniques for data capture, analyses and representation

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