byHarro Riedstra via web
The D2D project on partner services focuses on Akvo’s activities to further develop our expertise on our ‘services’; to train our partners on our tools and on these services and implement the services in joint projects with our partners. The services project includes our services on PMEL, data science and analysis and feedback systems. Lastly, the project also includes our activities on improving Akvo’s technical support to our partners.
In 2017 we will focus on professionalising our trainings and transfer them from 'tool trainings' to 'service trainings'. We will further improve our support operation and add support on our newest tools: Lumen and Caddisfly. Regarding PMEL, our focus will be on developing the Akvo Theory of Change; improving external expertise and sharing our expertise with our partners. On data science, we aim to share our expertise on the topic by creating two democases on WASH and agriculture. We will also improve the internal expertise on data science at Akvo to enable us to share this expertise in trainings with our partners. We will start to develop a WASH Survey library to improve consistency on data collection, including in relation to the SDG's. Lastly, we will research the effectiveness of feedback mechanisms and apply those in projects if possible.
Specific objectives 2017
A1. To create a stocktake of Akvo training materials and methods across Akvo. A2. Based on the currently available materials and methods further structure and improve the training materials and methods. B1. Further professionalise and extend the Akvo support operation. B2.Improve support related to our newest tools: Lumen and Caddisfly. C1. To finalise the Akvo Theory of Change and communicate this ToC to our partners. C2. To develop guidance documentation on the importance of ToCs; their role in PMEL and how to develop them for our partners. C3. To support Akvo colleagues in making qualitative outcome assessments. C4. To facilitate internal sharing of knowledge and material and build capacity on PMEL D1. To create two end-to-end demo cases (WASH and agriculture) of data science in the context of international development. D1. To define a clear data analysis pipeline. D2. To set up a team within Akvo to continuously engage partners in data science. E1. To develop a WASH survey library within Akvopedia as part of the AfriAlliance Blueprint. E 2. (If the WHO project is approved) including (in cooperation with WHO) a standardized survey library for WASH SDG monitoring. F1. To continue on end-user feedback projects e.g. Unicef Fiji WASH in schools F2. To investigate the opportunity to conduct a research project on effectiveness models of feedback systems