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The influence of real time learning in WASH programming

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conference contribution
posted on 12.02.2018, 15:11 by Angela Padilla, James Dumpert
In an effort to improve programme outcomes, particularly in ensuring sanitation for all, the Cambodia Rural Sanitation and Hygiene Improvement Programme (CRSHIP) has introduced tools to strengthen the programme’s ability to adjust interventions to the specific local conditions, priorities, and opportunities. In 2016, CRSHIP introduced Real Time Learning (RTL), providing an opportunity for continuous reflection and learning leading to context adaptive programming. Using RTL, programme partners are able to report on activities, invite feedback and request support, or offer insight reflecting their experiences. RTL is still an emerging practice with some challenges in implementation, including introducing adaptations throughout institutional arrangements, and limited quantitative findings to date, however current empirical evidence suggests it may carry significant potential to enhance knowledge management, quality of implementation, support inclusive and equitable programming, and expand the breadth and impact of programme works.

Funding

Appreciation goes also to the Global Sanitation Fund of the Water Supply and Sanitation Collaborative Council for the support to CRSHIP and specifically to the L&D grant.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

PADILLA, A. and DUMPERT, J., 2017. The influence of real time learning in WASH programming. IN: Shaw, R.J. (ed). Local action with international cooperation to improve and sustain water, sanitation and hygiene (WASH) services: Proceedings of the 40th WEDC International Conference, Loughborough, UK, 24-28 July 2017, Paper 2681, 7pp.

Publisher

© WEDC, Loughborough University

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2017

Notes

This is a conference paper.

Other identifier

WEDC_ID:22726

Language

en