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This collection examines the power and transformative potential of movements that fight against poverty and inequality. Broadly, poverty politics are struggles to define who is poor, what it means to be poor, what actions might be taken, and who should act. These movements shape the sociocultural and political economic structures that constitute poverty and privilege as material and social relations. Editors Victoria Lawson and Sarah Elwood focus on the politics of insurgent movements against poverty and inequality in seven countries (Argentina, India, Brazil, South Africa, Thailand, Singapore, and the United States). The contributors explore theory and practice in alliance politics, resistance movements, the militarized repression of justice movements, global counterpublics, and political theater. These movements reflect the diversity of poverty politics and the relations between bureaucracies and antipoverty movements. They discuss work done by mass and other types of mobilizations across multiple scales; forms of creative and political alliance across axes of difference; expressions and exercises of agency by people named as poor; and the kinds of rights and other claims that are made in different spaces and places. Relational Poverty Politics advocates for poverty knowledge grounded in relational perspectives that highlight the adversarial relationship of poverty to privilege, as well as the possibility for alliances across different groups. It incorporates current research in the field and demonstrates how relational poverty knowledge is best seen as a model for understanding how theory is derivative of action as much as the other way around. The book lays a foundation for realistic change that can directly attack poverty at its roots.

E-books --- Poverty. --- Poverty --- Destitution --- Wealth --- Basic needs --- Begging --- Poor --- Subsistence economy --- Government policy.

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The phenomenon of volunteered geographic information is part of a profound transformation in how geographic data, information, and knowledge are produced and circulated. By situating volunteered geographic information (VGI) in the context of big-data deluge and the data-intensive inquiry, the 20 chapters in this book explore both the theories and applications of crowdsourcing for geographic knowledge production with three sections focusing on 1).  VGI, Public Participation, and Citizen Science; 2). Geographic Knowledge Production and Place Inference; and 3). Emerging Applications and New Challenges.  This book argues that future progress in VGI research depends in large part on building strong linkages with diverse geographic scholarship. Contributors of this volume situate VGI research in geography’s core concerns with space and place, and offer several ways of addressing persistent challenges of quality assurance in VGI. This book positions VGI as part of a shift toward hybrid epistemologies, and potentially a fourth paradigm of data-intensive inquiry across the sciences. It also considers the implications of VGI and the exaflood for further time-space compression and new forms, degrees of digital inequality, the renewed importance of geography, and the role of crowdsourcing for geographic knowledge production.

Geographical perception. --- Geographic information systems --- Human computation --- Data mining --- Geography --- Earth & Environmental Sciences --- Geography-General --- Cartography --- Geographic information systems. --- Human computation. --- Data mining. --- Crowdsourcing --- Human-based computation --- Human computation systems --- Geography. --- Geographical information systems. --- Geographical Information Systems/Cartography. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Crowdsourcing (Distributed artificial intelligence) --- Distributed artificial intelligence --- Human-computer interaction