5^th Community Based Monitoring System
(CBMS) National Conference
January 30-February 1, 2008
Manila Hotel, Philippines
 

Conference Overview

Community-based monitoring system (CBMS) practitioners and other stakeholders in the Philippines will gather together on January 30-February 1, 2008 for the CBMS conference. The conference will convene national and local planners, policymakers and program implementers to share recent experiences, strategies and lessons learned from their CBMS work, and to present findings on the use of the CBMS for localizing the millennium development goals (MDGs), poverty monitoring, program targeting, impact monitoring at the national, regional and local levels.   The conference is being organized by the PEP-CBMS Network Coordinating Team of the Angelo King Institute for Economic and Business Studies in collaboration with CBMS partners from the Department of the Interior and Local Government (DILG), the National Anti-Poverty Commission (NAPC), the National Economic and Development Authority (NEDA) and the League of Municipalities of the Philippines (LMP). Training on StatSim and NRDB January 28-29, 2008

Manila Hotel   Contents Training Program (as of 12/02/07) - Special Course on  STATSIM - Special Course on NRDB Conference Program with links to papers and presentations (as of 1/29/08) List of Participants Photos Hotel Info

 To be held back-to-back with the CBMS-Philippines’ annual gathering is a 2-day training   on the CBMS Statistics Simulator and Natural Resource Database (CBMS-NRDB) from January 28-29, 2008. These softwares are two of three (the other software is the CBMS Encoding System) being utilized to process data and produce poverty maps, respectively. The computerized processing softwares are being distributed for free to CBMS-implementing LGUs.

 The training course is primarily for participants who have undergone trainings on the CBMS Computerized Data Processing System (CBMS Modules 2 and 3).  The objective is to refresh and broaden their knowledge and skills in generating basic computerized outputs and statistics and recognize the important role of these softwares in data generation, analysis and dissemination of statistical information.

Last Update: 2008-01-28