As digital information becomes part of our cultural fabric, information visualization offers new perspectives on large data sets and interactive methods to navigate complex information spaces. In order to stimulate a discussion about the potential of visualization, the public lecture series on information+visualization brings together renowned practitioners and researchers of the growing field of information visualization.
Während digitale Informationen Teil unseres kulturellen Gefüges werden, verspricht Informationsvisualisierung neue Perspektiven auf große Datensätze und interaktive Methoden zur Navigation. Um eine Diskussion über das Potenzial von Informationsvisualisierung anzuregen, bringt die Vortragsreihe information+visualization renommierte ForscherInnen und PraktikerInnen dieses wachsenden Feldes zusammen.
Data wrangling activities can take up between 60% and 80% of the time spent in analytics and machine learning projects and is crucial for their success. In this talk, the different data wrangling activities such as data discovery, structuring, cleaning, enriching and validating are examined, challenges are highlighted, and combinations of intelligent algorithms and user interfaces to speed up data wrangling are explored.
As digital humanities projects engage with large scale data and analytic tools, they have become increasingly dependent on visualization tools to assist in making the queries and assessments of these approaches legible. Most of the graphical properties of these visualizations bear the imprint of the fields within which they were invented—social and natural sciences, administration, business, and other empirically-driven disciplines. Are these visualizations adequate for humanistic purposes? Or are the basic tenets of humanist epistemology, grounded in interpretative approaches and hermeneutic methods, at odds with those based on empiricism? If so, then what additional dimensions—literal and conceptual—might be added to the graphical expressions for a domain specific approach to visualization in and for the humanities?
Exploring how data visualisation influences our understanding of complex systems and behaviours
The human attention span is a finite resource. A successful data visualisation communicates its message clearly and succinctly, but is also one that provokes the curiosity within the viewer, potentially driving them towards further enquiry. It’s a challenging balancing act for a designer - to maximise the accessibility of their design while providing enough material for the viewer to explore and interpret the data on their own. To achieve this, a designer can play around with the design language of their composition, but they can also exploit the form and the qualities of the medium it is presented on. In this talk we will discuss the various roles that data visualisation holds within our lab - a tool that increasingly is used to unveil insights, not just in a purely scientific context, but a social one too. It is a medium we use to communicate amongst ourselves, it can reveal the patterns and textures that both unites and distinguishes us from each other. As artificial intelligence and machine learning systems extend their reach and exert greater influence in our technological lives, we are exploring the opportunities that data visualisation affords to aid our comprehension of these complex systems - instead of the machine completely replacing us and our decision processes, a paradigm of collaborating with the algorithm can be supported through well-designed visualisations.
Für Journalisten sind große Datensätze zugleich Fundgrube und Werkstoff: In ihnen lassen sich exklusive Geschichten finden, die erst in der Abstraktion sichtbar werden. Zugleich dienen Daten dem Storytelling – als einfache Grafiken oder interaktive, nicht selten opulente Visualisierungen. Welche datenjournalistischen Projekte sind in einem aktuellen Medium möglich? Und wann gelingen Experimente mit ungewöhnlichen Formaten? Christina Elmer, Leiterin des Datenjournalismus-Teams von SPIEGEL ONLINE, gibt Einblicke in die Arbeit zwischen Tabellen und tanzenden Säulen, Kreisen und Kreativität.
The past decade has seen a growing spatialisation of literary studies, closely connected with the development of new geographical technologies, such as GIS, and their application to the humanities. For example, Antiquity Á la Carte allows users to investigate the historical, cultural and geographical data produced by the Ancient World Mapping Center. Yet there is a problem with GIS applications, when applied to research into ancient geography. On the one hand, they present a pre-determined vision of the world, based on Cartesian principles and contemporary modes of thinking, into which users “plug in” data from antiquity. On the other, GIS, as a point-based geometrical package, is particularly poorly equipped to deal with the predominant primary source that preserve ancient conceptualisations of space—texts. In two presentations at Potsdam University of Applied Sciences, Elton will outline the ongoing efforts of two Digital Classics projects to use mapping visualisations as the means of interrogating and disrupting our understanding of ancient world space: the Hestia project, which investigates the ways in which geographic space is organised and represented in Herodotus’s Histories; and Pelagios, which uses and develops the principles of Linked Open Data to facilitate the construction of (potentially) bottomless maps.
Can citizen-driven, public data visualization become a tool to support social and civic purposes in public spaces? The ability to measure, monitor and track our everyday dealings has turned into true capital for an increasing number of urban stakeholders - from ‘smart-city-in-a-box’ corporate solutions to bottom-up structures and individuals that advocate engagement through DIY hacktivism. Yet, how citizen data, and the ubiquitous technologies able to acquire and display it in the urban sphere, can be of true value to its the ‘normal’ citizens, is still an underexplored question. In her research, Nina Valkanova argues that combining data visualization as means to represent citizen-driven data in attractive and insightful ways, with ubiquitous technologies for sensing, displaying and interacting, could potentially make us more informed and engaged citizens. In this talk she will show some of her research projects that explore how visualization interfaces, situated in public spaces can increase both personal reflection and social awareness and discourse; and can influence participation and a range of social interactions.
The introduction of data based tools and digital born data in several disciplines generated new branches - such as Digital Humanities or Computational Sociology - allowing the improvement of current methods of inquiry and - more interestingly - radically changing their epistemological boundaries. We’re in the middle of a genetic mutation that will likely result in a regeneration of the disciplinary species. The role of visualization as a scholarly tool is therefore renewed and amplified. The sciences have always relied upon processes of data acquisition, organization, and formalization based on visual languages. What’s amplifying and renewing the meaning and role of visualization tools today is a change in the state of scientific data, now digitized, and—even more important—the abundance of born-digital data, such as post-demographic data in sociology or linked data in the humanities, that are changing the nature of the inquiry process and also the relationships with the public(s).
Data uncertainty is ubiquitous in most application fields, especially when we use data from heterogeneous sources that can be error-prone, incomplete, ambiguous etc. Instead of ignoring uncertainty when analyzing data, visualization can help communicate data uncertainty to the user. For this purpose, a wide range of visualization techniques have been developed in the fields of information visualization, geovisualization, and scientific visualization. Christoph Kinkeldey provides an overview on state-of-the-art uncertainty visualization techniques and discusses lessons learned from past research as well as current challenges in the field.
Die wissenschaftliche Forschung zum Klimawandel hat eine Vielfalt an Bildern hervorgebracht. Diese reichen von farbigen Expertengrafiken, der Visualisierung von Klimamodellen bis hin zu animierten und interaktiven Grafiken. Manche der Grafiken haben sogar, nicht zuletzt durch die Berichte des Weltklimarats, einen ikonischen Status erreicht. Die Bilder haben begonnen die generelle Wahrnehmung globaler Wetterereignisse zu prägen. Dabei ist die Rolle von Klimabildern insbesondere deshalb zentral, weil der globale Klimawandel als Langzeitprozess nicht direkt erfahren werden kann. Es braucht also Bilder, um den Klimawandel evident zu machen. In ihrem Vortrag wird die Bild- und Medienwissenschaftlerin Birgit Schneider Teile ihrer Forschungen zu aktuellen Klimavisualisierungen hinsichtlich der folgenden Fragen präsentieren: Was geschieht, wenn wissenschaftliche Bilder in gesellschaftliche und politische Kontexte kommuniziert werden? Welche Rhetorik besitzen insbesondere Farben in den Klimawissenschaften? Inwiefern sind Kartografie und Infografik immer auch ideologisch? Dabei wird sie die wissenschaftlichen Bilder hinsichtlich der Frage analysieren, was andere Bildsprachen alternativ zur Wissenschaft ermöglichen um Fragen des Klimawandels an die Gesellschaft zu vermitteln.
Contextual ‘meta-data’ in applied linguistics and corpus linguistics, has been largely static, and sociolinguists often discuss the need to consider more carefully the extent to which text-external elements are invoked in our interpretation of language in use. Drawing on recent developments in corpus linguistics, this presentation takes a more delicate and fine-grained approach to the description of the relationship between language and context, through its representation in (meta)data. In her talk, Dawn Knight questions the status of the ‘meta’ in metadata and provides some reflections on capturing, classifying, representing, and querying corpora from omnidirectional perspectives using mobile technologies, biometric sensors, and visualization techniques.
Can multivariate data be compared across multiple dimensions of scale and geography? Sarah Goodwin presents a theoretical framework and prototype visualization designs for multivariate data comparison. Specializing in the analysis of spatial data and geovisualization, Sarah's research investigates the classification of variables for energy consumer profiling. In this talk she will show some of her work investigating geodemographics with energy consumption characteristics and prototype designs for smart home data analysis for energy companies.
Smooth animated transitions, where a graphic display changes continuously in time, are more appealing than still images, feel more realistic, and improve the aesthetics of interfaces. Beyond their compelling nature, animations are powerful tools that can aid better understand the time-varying behaviour of an interface by fluidly transitioning between visual states. We will discuss new uses and challenges in the design of animation for visualization.
Museums, galleries, libraries and archives around the world are rapidly digitising their collections, turning cultural heritage into mountains of data. To realise the value of this material we need new forms of representation, beyond the limits of the search box. This talk presents our experiments in “generous interfaces”: rich, navigable overviews and exploratory browsers for large cultural collections.
Urbanisierungsprozesse sind komplex. Finden sie zudem noch in einem anderen Kulturraum statt, so wird dies aufgrund kultureller Einschreibungen noch verstärkt. Auf der Suche nach einer Antwort auf die Frage – Was ist Stadt? – werden vermehrt Kartierungs-, Simulations- und Modellierungsmethodiken aufgerufen. Weniger scharf jedoch ist der Diskurs zur Politik jener Daten und die Frage, wie viel Sichtbarkeit eine Stadt verträgt. Ein Exkurs zur Indischen Stadt und Berlin.
In a single lifetime humanity has grown into a phenomenal global force. A growing number of scientists say we have entered the Anthropocene - a new geological epoch dominated by humanity. But many of the processes and changes are invisible to us. Can data visualisation make the invisible visible? And can it help change world views. Owen Gaffney is a pioneer in visualising the Anthropocene. He will discuss how visualisation is one of the essential tools to help us make sense of the world we now inhabit.
Previous accounts have problematised archival interfaces for being too driven by paradigms of filtering and search, for being ungenerous with the content, or for implicitly embodying and indeed iteratively reifying particular kinds of knowledge. There is consequently an opportunity for archival interfaces which adopt rhetorical positions, are dialogical with users, embody critique, or use ambiguity as a tool with which to allow new kinds of engagement with archival items.
Mehr Daten für alle! Dieses Versprechen löst eine Reihe von Verwaltungen in Deutschland ein. Ihre Vorbilder haben sie in den USA und Großbritannien, die im großen Stil nicht-persönliche Daten freigegeben haben. Bürger, Wirtschaft und Medien können diese Daten nutzen, was Julia Kloiber von der Open Knowledge Foundation Deutschland und der Datenjournalist Michael Hörz zeigen werden.