Welcome to NACIS 2016 in Colorado Springs! This is the annual meeting of the North American Cartographic Information Society (NACIS). See the schedule below and check out the NACIS website for more details.
The North American Cartographic Information Society, founded in 1980, is an organization comprised of specialists from private, academic, and government organizations whose common interest lies in facilitating communication in the map information community.
Spatial data, of one form or another, inform, shape, and define our everyday lives and choices. Generated through a host of quotidian acts, such as credit card purchases, smartphone application use, and surveillance systems, spatial data is increasingly and continuously fed into massive data systems that collect, aggregate, and analyze it in powerful, new ways. Access to and use of such data demarcates the limits and possibilities of cartographic visualization, shaping world views and popular imaginations. How we see the world through the mediation of cartographic images of spatial data has tremendous impacts on how we perceive ourselves and how we act in the world. In this panel, we ask what it means to confront, to contextualize, and to question spatial data and cartographic representation in the myriad of forms they take. How can we differentiate between the multiple subject positions that constitute a given map? What are the historical precedents for todayâ€™s conceptions and practices of data? What is the value and what are the implications of doing so for critical cartography as praxis? Drawing together academics and practitioners, the panel addresses not only what it means to think new forms of data and their representation, but also what it means to act with said data.
Jim Thatcher, University of Washington-Tacoma Craig Dalton, Hofstra University Panelists:
Susan Schulten, University of Denver Ladona Knigge, California State University Chico Jessica Breen, University of Kentucky Luke Bergmann, University of Washington Nick Lally, University of Wisconsin-Madison