Statistical Atlas
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People Like Us
The inspiring story of political newcomers (sometimes also newcomers to America) who are knocking down built-in barriers to creating better government The system is rigged: America's political leadership remains overwhelmingly white, male, moneyed, and Christian. Even at the local and state levels, elected office is inaccessible to the people it aims to represent. But in People Like Us, political scientist Sayu Bhojwani shares the stories of a diverse and persevering range of local and state politicians from across the country who are challenging the status quo, winning against all odds, and leaving a path for others to follow in their wake. In Anaheim, California, a previously undocumented Mexican American challenges the high-powered interests of the Disney Corporation to win a city council seat. In the Midwest, a thirty-something Muslim Somali American unseats a forty-four-year incumbent in the Minnesota house of representatives. These are some of the foreign-born, lower-income, and of-color Americans who have successfully taken on leadership roles in elected office despite xenophobia, political gatekeeping, and personal financial concerns. In accessible prose, Bhojwani shines a light on the political, systemic, and cultural roadblocks that prevent government from effectively representing a rapidly changing America, and offers forward-thinking solutions on how to get rid of them. People Like Us serves as a road map for the burgeoning democracy that has been a long time in the making: inclusive, multiracial, and unstoppable.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007. Coverage in this first volume includes diffusion tensor imaging and computing, cardiac imaging and robotics, image segmentation and classification, image guided intervention and robotics, innovative clinical and biological applications, brain atlas computing, and simulation of therapy.
Mapping the Nation
Author: Susan Schulten
language: en
Publisher: University of Chicago Press
Release Date: 2012-06-29
“A compelling read” that reveals how maps became informational tools charting everything from epidemics to slavery (Journal of American History). In the nineteenth century, Americans began to use maps in radically new ways. For the first time, medical men mapped diseases to understand and prevent epidemics, natural scientists mapped climate and rainfall to uncover weather patterns, educators mapped the past to foster national loyalty among students, and Northerners mapped slavery to assess the power of the South. After the Civil War, federal agencies embraced statistical and thematic mapping in order to profile the ethnic, racial, economic, moral, and physical attributes of a reunified nation. By the end of the century, Congress had authorized a national archive of maps, an explicit recognition that old maps were not relics to be discarded but unique records of the nation’s past. All of these experiments involved the realization that maps were not just illustrations of data, but visual tools that were uniquely equipped to convey complex ideas and information. In Mapping the Nation, Susan Schulten charts how maps of epidemic disease, slavery, census statistics, the environment, and the past demonstrated the analytical potential of cartography, and in the process transformed the very meaning of a map. Today, statistical and thematic maps are so ubiquitous that we take for granted that data will be arranged cartographically. Whether for urban planning, public health, marketing, or political strategy, maps have become everyday tools of social organization, governance, and economics. The world we inhabit—saturated with maps and graphic information—grew out of this sea change in spatial thought and representation in the nineteenth century, when Americans learned to see themselves and their nation in new dimensions.