The objective of the project is to improve the capacity of statistical officers and academics in developing countries by providing them with opportunities to acquire relevant knowledge, keep them abreast of emerging issues, and disseminate their own research findings. The Project is consists of the following activities: (1) lSI World Statistical Congress (WSC) (Ireland, August 21 to 26, 2011): support the participation of approximately 10 people in the lSI WSC to discuss water related issues including access to clean drinking water and management of water resources for sanitary purposes in developing countries. (2) Short Courses: support the participation of approximately 10 people in short courses on topics related to official statistics to be provided by high level experts and academia. (3) Satellite Meeting on Statistical Capacity Building (Krakow, Poland, August 17-19, 2011, Krakow, Poland): support the participation ofapproximately 23 statisticians, academies and development practitioners from developing countries in this meeting to share best practices in statistical development and engage participants in a global dialogue on issues of concern to less developed countries related to statistical capacity building.(4) Leadership workshops: support the participation of approximately 60 people in leadership workshops to be carried out in the Africa, Latin America, and South Asia regions on: (a) fundamental principles of official statistics; (b) introduction and application of best practices of leadership in statistical offices based on developing and developed countries experiences; (c) organizational and management issues; and, (d) communication with government, users, media and development agencies. (5) lSI Sections Conferences: support the participation of approximately 30 professionals in lSI sections conferences on topics including user-producer communication, emerging technologies related to statistics, statistical computing, stochastic processes and their application, environmental statistics, and business and industrial statistics.