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Data-driven alternative narratives are data activism communication practices. Non-expert and bottom-up groups of the datafied society are using open-source tools and data to provide evidence on social issues that have not been covered or made transparent by mainstream and official institutions. Data visualizations are decisive adversarial tools for the purposes of alternative narratives and thus data activism. Data designers assume the role of data intermediaries capable of transforming data into information and bringing it closer to the daily experience of individuals. This study states that data visualization for data activism must disclose their design process in order to communicate not only visual evidence but also the construction of the evidence, thus, democratizing the interpretation of data and its visual representations."It is essential to recognize and promote practices in order to move towards a critical approach to the process of visual representation of data. Thus, raising knowledge about how data visualization for alternative narratives is occurring and how its construction process is proceeding. This chapter presents a taxonomy of data visualization for alternative narrative projects observing how data visualizations are executed to build up alternative narratives: by monitoring, reporting, investigating, archiving and cohering social movements. The aim of the taxonomy is to organize the exploration of the cases; it is not intended to over-label the organic development of alternative narratives, nor to impose a single classification. The taxonomy is proposed as a starting point for exploring the visual representation of data-driven alternative narratives.

"Data Visualization: A Guide to Visual Storytelling for Libraries is a practical guide to the skills and tools needed to create beautiful and meaningful visual stories through data visualization. Learn how to sift through complex datasets to better understand a variety of metrics, such as trends in user behavior and electronic resource usage, return on investment and impact metrics, and learning and reference analytics"

The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels. ; Funding: The research leading to these results received funding from the Spanish Ministry of Economy and Competitiveness under grants C080020-09 (Cajal Blue Brain Project, Spanish partner of the Blue Brain Project initiative from EPFL) and TIN2017-83132, as well as from the European Union?s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreements No. 785907 (Human Brain Project SGA2) and 945539 (Human Brain Project SGA3)

International audience ; We propose a set of techniques leveraging mobile devices as lenses to explore, interact and annotate n-dimensional data visualizations. The democratization of mobile devices, with their arrays of integrated sensors, opens up opportunities to create experiences for anyone to explore and interact with large information spaces anywhere. In this paper, we propose to revisit ideas behind the Chameleon prototype of Fitzmaurice et al. initially envisioned in the 90s for navigation, before spatially-aware devices became mainstream. We also take advantage of other input modalities such as pen and touch to not only navigate the space using the mobile as a lens, but interact and annotate it by adding toolglasses.

International audience ; We propose a set of techniques leveraging mobile devices as lenses to explore, interact and annotate n-dimensional data visualizations. The democratization of mobile devices, with their arrays of integrated sensors, opens up opportunities to create experiences for anyone to explore and interact with large information spaces anywhere. In this paper, we propose to revisit ideas behind the Chameleon prototype of Fitzmaurice et al. initially envisioned in the 90s for navigation, before spatially-aware devices became mainstream. We also take advantage of other input modalities such as pen and touch to not only navigate the space using the mobile as a lens, but interact and annotate it by adding toolglasses.

Neto, M. D. C., Nascimento, M., Sarmento, P., Ribeiro, S., Rodrigues, T., & Painho, M. (2019). A Dashboard for Security Forces Data Visualization and Storytelling. In I. Ramos, R. Quaresma, P. R. D. Silva, & T. Oliveira (Eds.), Information Systems for Industry 4.0: Proceedings of the 18th Conference of the Portuguese Association for Information Systems (pp. 47-62). (Lecture Notes in Information Systems and Organisation; Vol. 31). Springer International Publishing. https://doi.org/10.1007/978-3-030-14850-8_4 ; Being security assumed as a basic right of citizens in the current model of democratic rule of law, optimal resources allocation altogether with budgetary constraints are a key component. In fact optimal resources allocation and budgetary constraints oblige an increasingly careful strategic management, adapted to demographic reality. The SIM4SECURITY project aims to build a technological solution to support decision making regarding security, based on the development of a GIS model and in the implementation of demographic scenarios. This model will allow policy makers, leaders and forces of command units and services in the planning and rational affectation of resources adjusted to local dynamics in crime prevention and crime fighting. To communicate the SIM4SECURITY results and support decision making, a data visualization and storytelling approach was adopted by creating dashboards containing the various dimensions and perspectives of the information were elaborated and are presented. The obtained outcomes show that dashboards are an important visual tool in the decision-making process by providing meaningful insights regarding security and in the location-allocation of security forces. ; authorsversion ; published

Abstract
This article brings debates about data visualization in digital humanities in conversation with critical security studies and international relations. Building on feminist approaches in digital humanities, we explore the potential and limitations of data visualization as a critical method for research on (in)security. We unpack three aspects of making data visualizations by specifying "making" in this context as working, orienting, and critiquing. Making data visualizations as a methodological device is oriented by questions about the contestation of security and orients research by provoking new questions about practices of critique. Empirically, we situate data visualizations within British parliamentary debates about the Government Communications Headquarters (GCHQ), the UK's signals intelligence agency, which has garnered much public attention in the wake of the Snowden disclosures of transnational mass surveillance. We argue that data visualization in the parliamentary archive can destabilize dominant understandings of security, problematize narratives of security actors and oversight, and attend to the uneven presence of critique and contestation within and beyond parliamentary debates.

The importance of accurate labels and annotations is drilled into researchers early in their careers, but the role they play in cinematic data visualizations aimed at broader audiences is rarely addressed. Eric A. Jensen, Kalina Borkiewicz, Jill P. Naiman, Stuart Levy and Jeff Carpenter outline five lessons on how labels can be usefully deployed on cinematic … Continued