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Data Visualization Platform, Weave, Now Open Source Logo Open Source Initiative Image via Wikipedia Civic Commons, Contributors (Karl Fogel, Author) With more and more civic data becoming available and accessible, the challenge grows for policy makers and citizens to leverage that data for better decision-making. It is often difficult to understand context and perform analysis. "Weave", however, helps. A web-based data visualization tool, Weave enables users to explore, analyze, visualize and disseminate data online from any location at any time. We saw tremendous potential in the platform and have been helping open-source the software, advising on community engagement strategy and licensing. This week, we were excited to see the soft launch of the Weave 1.0 Beta, which went open-source on Wednesday, June 15. Weave is the result of a broad partnership: it was developed by the Institute for Visualization and Perception Research at the University of Massachussetts Lowell, with support from the Open Indicators Consortium, which is made up of over ten municipal, regional, and state member organizations. This consortium will probably expand now that Weave is open source, leading hopefully to greater collaboration, more development, and further innovation on this important platform. Early-adopter data geeks should give it a spin. One of Weave's key features is high-speed interactivity and responsiveness, which is somewhat unusual in web-based visualization software; try out the demo sites or watch the video below. Our congratulations and thanks to the Weave team! As city management is increasingly data-driven, so data analysis and visualization tools will continue to be an important part of every city manager's toolkit. We are excited to see this evolving toolkit enter the civic commons. http://govinthelab.com/data-visualization-platform-weave-now-open-source

Sort the signal from the noise Newsbeat tracks the activity of every page you publish in real time, from the top performers to the diamond in the rough. But we don't just show you everything, we show you what's important. Our algorithms forecast the expected path of each story and alert you to unusual activity you might otherwise miss, so you always know what to act on, when it matters most.

Goals and Topics Our goal with this workshop is to bring together data storytellers from diverse disciplines and continue the conversation of how these different fields utilize each other's techniques and articulate principles for telling data narratives. Our target participants are researchers, journalists, bloggers, and others who seek to understand how visualizations support narrative, stories, and other communicative goals. Participants may be designers of such visualizations or designers of tools that support the creation of narrative visualizations. Visualizations that serve as a "community mirror" and thus create opportunities for discussion, reflection and sharing within a social network are also suitable topics. While we are inspired by many visualizations that display personal histories and storylines, our focus is on visualization situated in storytelling contexts, not necessarily visualizations of stories. Specific topics of interest may include, but are not limited to: Media and genres Embedding visualizations in social media to tell stories Multimodal storytelling with visualization (e.g. narrated or acted visualization, such as Rosling's Gapminder presentations) Non-traditional narrative - games and other procedural narratives incorporating data Visualization in (data)journalism - how news stories and visualization can complement each other Visualizations that support specific types of stories: Personal stories ("Here's a history of my cancer treatment") Community and collaboration stories ("How has our Facebook group changed over the past year?") Public data sets and narrative ("What is your Senator doing with your taxes?") Fictional, semi-fictional, and non-fiction stories