Devising neutral tools for development decision-making: The Poverty Assessor

Pro-poor decision-making demands that the communication channels between development actors and the poor are strengthened. However, effective decision-making also requires that the complexities and inter-relationships between household livelihood, demographic, and economic factors are understood. Therefore, the following paper describes the design and implementation of the Poverty Assessor, a software programme to aid practitioners, policy makers and researchers in visualizing the direct poverty impacts of specific livelihood factors and events among populations of poor livestock keepers. The software enables users to profile individuals in relation to the national poverty line in each of the countries involved by selecting from a range of demographic and livelihood indicators. The tool operates by retrieving information from a database derived from the voices of 5,372 poor households in Kenya, India and Bolivia. The paper begins by offering a brief background to the issues involved and the creation of the tool. In the second section, results are presented utilizing examples from the Bolivian study set.

[1]  T. Rabie,et al.  Handwashing and risk of respiratory infections: a quantitative systematic review , 2006, Tropical medicine & international health : TM & IH.

[2]  Constantine Stephanidis,et al.  User Interfaces for All: Concepts, Methods, and Tools , 2009 .

[3]  Claire Heffernan,et al.  The livestock guru: The design and testing of a tool for knowledge transfer among the poor , 2007 .

[4]  E. Francis.  Poverty: Causes, Responses and Consequences in Rural South Africa , 2006 .

[5]  D. Roux,et al.  Bridging the Science-Management Divide: Moving from Unidirectional Knowledge Transfer to Knowledge Interfacing and Sharing , 2006 .

[6]  Marc M. Lankhorst,et al.  Enterprise Architecture at Work - Modelling, Communication and Analysis, 2nd Edition , 2005, The Enterprise Engineering Series.

[7]  Sendhil Mullainathan,et al.  Development economics through the lens of psychology , 2004 .

[8]  Michael Hurwicz,et al.  Special Edition Using Macromedia Studio MX 2004 , 2004 .

[9]  R. Saith,et al.  Does it Matter that we do not Agree on the Definition of Poverty? A Comparison of Four Approaches , 2003 .

[10]  Julie Fisher,et al.  Spreading the Word Further: Guidelines for disseminating development research , 2003 .

[11]  Stefano Ceri,et al.  Designing Data-Intensive Web Applications , 2002 .

[12]  Dr. Alex A. Freitas.  Data Mining and Knowledge Discovery with Evolutionary Algorithms , 2002, Natural Computing Series.

[13]  Diane Stone,et al.  Using Knowledge: The dilemmas of 'Bridging Research and Policy' , 2002 .

[14]  L. Andersen.  Rural-urban migratión in Bolivia: Advantages and disadvantages , 2002 .

[15]  R. Silburn,et al.  The meaning and measurement of poverty , 2002 .

[16]  D. Mosse,et al.  'People's knowledge', participation and patronage: operations and representations in rural development. , 2001 .

[17]  Angus Deaton.  Counting the World's Poor: Problems and Possible Solutions , 2000 .

[18]  D. Naraya.  Voices of the poor : can anyone hear us ? , 2000 .

[19]  Andrzej Skowron,et al.  New Directions in Rough Sets, Data Mining, and Granular-Soft Computing , 1999, Lecture Notes in Computer Science.

[20]  Richard Heeks.  Information and Communication Technologies, Poverty and Development , 1999 .

[21]  Sreerama K. Murthy,et al.  Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey , 1998, Data Mining and Knowledge Discovery.

[22]  Robert Chambers,et al.  Poverty and livelihoods: whose reality counts? , 1995 .

[23]  T. Byres.  Rural development: putting the last first , 1984 .

[24]  A. Sen,et al.  POOR, RELATIVELY SPEAKING , 1983 .

[25]  Heikki Mannila,et al.  Principles of Data Mining , 2001, Undergraduate Topics in Computer Science.

[26]  I. Scoones,et al.  Livestock, disease, trade and markets : policy choices for the livestock sector in Africa , 2006 .

[27]  Alan Greenberg,et al.  ICTs for Poverty Alleviation: Basic Tool and Enabling Sector , 2005 .

[28]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[29]  Poverty in an Age of Globalization , 2001 .

[30]  Mukesh K. Mohania,et al.  Advances in Database Technologies, ER '98 Workshops on Data Warehousing and Data Mining, Mobile Data Access, and Collaborative Work Support and Spatio-Temporal Data Management, Singapore, November 19-20, 1998, Proceedings , 1999 .

[31]  Mukesh K. Mohania,et al.  Advances in Database Technologies , 1999, Lecture Notes in Computer Science.

[32]  A. Pacey,et al.  Farmer first: Farmer innovation and agricultural research , 1989 .

[33]  Martha C. Polson,et al.  Foundations of intelligent tutoring systems , 1988 .