Visualizing the Future

Visualizing the Future is an IMLS National Forum Grant to develop a literacy-based instructional and research agenda for library and information professionals with the aim to create a community of praxis focused on data visualization.

This grant aims to create a diverse community that will advance data visualization instruction and use beyond hands-on, technology-based tutorials toward a nuanced, critical understanding of visualization as a research product and form of expression. As part of this grant we are seeking applications for a cohort of fellows to: carry out research related to visualization, attend two in-person meetings over the next two years, and help in the development and dissemination of a framework for data visualization support in libraries and related institutions.

Updates:

Notes from March Viz and Tell Show and Tell

Our March Viz and Tell had 34 registrants and 26 participants.

April Viz and Tell on helpful R and python packages

This Viz and Tell will cover packages in R and python that we have found useful in our visualization and instruction work. The organizers will be prepared to show off a few of their favorite packages, but don’t be shy! Bring along your own favorites!

Notes from February Viz and Tell on Tools and Software

Our February Viz and Tell had 95 registrants and 60 live participants.

February Viz and Tell on visualization tools and software!

This Viz and Tell will be a guided discussion about the tools and software that we use for visualization. As we all know from experience, tools and software are part of our daily work and the choices that we make in terms of which ones we teach, and how we teach with them, are critical to our communities. We will discuss why we choose to use certain tools/software and how we teach with them from a more critical and meta perspective.

Notes from November Viz and Tell on Visualization for Assessment

Our November Viz and Tell had 170 registrants and 110 live participants, covering a range of topics related to data visualization and assessment in libraries.