1. Supporting Coordination & Change Project PillarsAdaptive Management, Innovation Research (and the role of Outcome Logic Models in both) Boru Douthwaite Innovation and Impact Director, Challenge Program on Water and Food Basin Leader Meeting Vientiane, Laos, 19th January 2011

2. 7 Pillars Programmatic coordination and quality of research Adaptive management Innovation research Enabling change Communications Capacity building Mainstreaming gender

3. Adaptive management is understood as the ability of BDC research to learn from experience and to evolve; to adapt to the environment it finds itself in and to get better. Adaptive management involves early identification of opportunities, threats and unexpected consequences together with taking appropriate action, including the redrafting of research agendas, and the proper documentation of this learning. The Project is responsible for putting in place a framework and incentive structure that will allow this cumulative learning and change to take place. Adaptive Mmgt – what is expected

5. Carry out regular data-driven SWOT analysis

6. Conduct regular stakeholder surveys and consultations to monitor BDC performance and changing next user needs, including regular “reflection workshops”.Continued

7. Adaptive management and reflection Adjusted outcome pathways Inception Workshop

8. Innovation Research – what is expected To be successful at fostering innovation, BDC staff needs to understand how research does and does not trigger innovation processes. Hence research to understand change processes (innovation research) is carried out in the BDC [i.e., by the C&C Project] to guide action both inside and outside the CPWF. Innovation research is carried out in two main areas – internal to the BDC, and external.

9. Continued 1. Internal -- The BDC and its projects are experiments into putting research into use. Outcome and impact pathways provide hypotheses that are tested as part of project and BDC monitoring. The Project coaches other BDC projects on monitoring, and analyzes the data gathered to extract useful principles. 2. External – Much can be learned from on-going, successful and unsuccessful innovation processes. For example, Project 1 on targeting and scaling-out, seeks to determine which agricultural water interventions work where, and why. Answering this question involves understanding where existing technologies have worked and failed, i.e., research into what drives and constrains innovation.

11. How far does a trans-disciplinary, integrated approach contribute to development outcomes?