GEF IW:Science Project

1. GEF IW:Science Project Enhancing the use of Science in International Waters projects to improve project results FIRST TECHNICAL WORKING MEETING 25th – 28th January 2010 Macao Polytechnic Institute Rua de Luis Gonzaga Gomes, Macao The IW:Science first technical working meeting is kindly co-hosted with the support of;

2. Opening Remarks

3. Welcome and Introduction

4. Meeting Co-hosts; MPI & UNU-IIST

5. Meeting Objectives & Agenda Overview

6. Project Components The project consists of three component objectives, namely: • Documenting and understanding IW scientific experience and best practices • Integrated synthesis of IW science challenges, gaps and emerging issues across ecosystem classes • Establish the “Science Learning Network” for knowledge sharing, mutual learning and global influence

7. Meeting Objectives Meeting Goal: to discuss the goals, expectations and plan of work for the project and convey understanding of project tasks and responsibilities to Working Group members. Meeting Objectives: • To provide meeting attendees with a sound understanding of project rationale, activities and their contributions. • To facilitate face-to-face interaction in each of the working groups to assist with development of remote working relationships. • To make significant inroads into the analysis of the IW portfolio.

8. Corporate Needs for the Project • Experiential learning from IW projects needs to be converted to a “transferable” synthesis, benefiting ongoing and new projects • GEF needs to ensure that IW projects are based on contemporary science (not 15-20 year old science) • GEF needs to identify the gaps in existing water science pertinent to IW projects, and help address them • Results based management for the IW portfolio needs to be based on contemporary/cutting edge science • Strategic prioritizing for GEF-5 needs to be based on a scientific assessment

9. User Needs for the Project • IW Projects need to be better informed about contemporary science, as well as identify project-relevant research needs • Synthesis through a broader scientific community needs to drive solutions for IW projects, help identify appropriate technologies and practices and facilitate adaptive management • Developing countries need to ensure their capacity to develop and sustain their scientific know-how related to IW projects • Based on a scientific gap assessment of the IW projects, the portfolio needs to identify ideas for targeted research • Science-policy links and bridges need to be enabled – particularly based on a broader scientific synthesis

10. Agenda Overview Day 1 – Now until lunch • Project overview and timeline • STAP presentation • Inventory process, database and SLN tools for WG members Day 1 – pm Session • IW System Working Groups • Co-chair presentations Day 2 - Core Questions and the Break-Out Sessions • Working Group tasks

11. Agenda Overview Day 3 – Working Group Break-Out Sessions • Applying the Core Questions • WG updates to group • WG strategic plan development Day 4 – Working Group Break-Out Sessions • Finalize WG next steps • Wrap-up plenary

12. Project overview and timeline

13. IW Science Broad Project Objective To enhance - through knowledge integration and information-sharing tools - the use of science in the GEF IW focal area to strengthen: • priority setting • knowledge sharing • results-based, adaptive management.

14. Specific Objectives Three component objectives: • Inventorying and understanding IW scientific experience and best practices • Synthesizing IW science challenges, gaps and emerging issues across ecosystem classes (rivers basins, groundwater, large marine ecosystems and the open ocean) • Establishing the “Science Learning Network” for knowledge sharing, mutual learning and global influence

15. Component 1 Outputs: • Collated database of science usage in the GEF IW portfolio, organized by the 5 IW System Type classes • State-of-art synthesis reports, for the 5 IW System Type classes, concerning the scientific experiences and best practices from the IW project portfolio

16. Component 2 Outputs: • Report on emerging science issues and research needs for action by the IW focal area • Report on use of science and the engagement of scientists for results-based, adaptive management in the IW focal area • Report on proxy indicators to support IW results-based management • An executive policy-guidance overview, highlighting key project conclusions

17. Component 3 Outputs: • The Science Learning Network (SLN) designed and inaugurated • Project results (SLN, database, syntheses) promoted to the IW focal area and the global water community

18. Project Impacts Improved utilization of science-based outputs of GEF IW projects to: • Identify program gaps and prioritize future GEF interventions • Strengthen the scientific underpinning for IW Transboundary Diagnostic Analysis (TDA) • Catalyze the building of research capacity within the GEF IW family • Strengthen results-based, adaptive management • Improve science-to-management linkages

19. Partners • UNU-INWEH (Executing Agency) • UNEP-DEWA • UNESCO Water Division • Scottish Association of Marine Science (SAMS) • Land-Ocean Interactions in the Coastal Zone Program (LOICZ) • UNW-DPC (UN-Water Decade Programme on Capacity Development • Canadian Water Network (CWN) • European Lifestyles and Marine Ecosystems Program (ELME) • UNU-EHS (UNU Institute for Environment and Human Security)

20. GEF IW Science Project Scientific Synthesis Group Co-Chairs Co-Chairs Co-Chairs Co-Chairs Co-Chairs WG 3 Groundwater WG 2 Lake Systems WG 4 Coastal Zone & NZE WG 5 LME & Open Ocean WG 1 River Basins Project Coordination Unit Steering Committee GEF IW Project Portfolio

21. Common Core Questions • Critical emerging science issues: • Science challenges “on the horizon” for each ecosystem type • Significance of regional and global-scale drivers, in particular climate change, in the genesis of transboundary problems • Understanding and managing multiple causality • Accounting for variable spatial and temporal scales • Analyzing the complex coupling of social and ecological systems

22. Common Core Questions • Application of science for adaptive management: • Optimal engagement of local and global science communities in IW projects • Accessing science expertise on methodologies, science breakthroughs and emerging issues • Best practices for linking science and management • Understanding and communicating the scientific dimensions of adaptive management • Communication of newly-synthesized science knowledge to stakeholders

23. Common Core Questions 3. Development and use of proxy indicators to support IW results-based management • Monitoring strategies and indicator criteria for future results-based management • Effective “proxy indicators” for use in developing countries • Use of appropriate science and best practices for transboundary diagnostic analysis

24. Project Timeline

25. Biodiversity Climate change International waters Land degradation Ozone depletion Persistent organic pollutants Capacity building

26. Biodiversity Climate change International Waters Land Degradation Ozone depletion Persistent organic pollutants Capacity building

27. Cooperation with KM:Land

28. STAP presentation – Science, Technology and the IW Portfolio

29. Group Photo & Tea/Coffee break

30. Inventory process, Database, SLN tools for WG members.

31. Inventory Process IW:Science - Largest ever compilation of IW documents 4,000+ documents from: • IW:LEARN • GEF online document centre • External project websites

32. Inventory Process IW:Science - Largest ever compilation of IW documents Science ?

33. Inventory Process Synopsis Report • Projects that have demonstrated significant and successful scientific components, • significant natural and social science findings, • unique research, monitoring and assessment issues, • the role of science within projects, • the design and use of (local) science networks and scientific advisory bodies, • scientific best practices, • intended target users, and • science/management implications.

34. Inventory Process Synopsis Report • Projects that have demonstrated significant and successful scientific components, • significant natural and social science findings, • unique research, monitoring and assessment issues, • the role of science within projects, • the design and use of (local) science networks and scientific advisory bodies, • scientific best practices, • intended target users, and • science/management implications. Particular attention given to the scientific basis for TDA in IW projects and to the use and quality of indicators for IW M&E purposes

35. Outputs from Day 2; • Listing of projects that have high/low scientific content/importance & what types of science; • listing of known missing documents or projects where no/minimal documentation exists; • recommendations of people to contact to fill missing document/knowledge gaps; • listing of next steps. Both the GEF non-GEF realms are to be taken into consideration.

36. How does the Synopsis feed into the IW:Science project process and overall Knowledge Management ?

37. Knowledge Management

38. Knowledge Management Body of information in varying formats and analysis

39. Knowledge Management Removal of ‘variables’ Body of information in varying formats and analysis

40. Knowledge Management Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

41. Knowledge Management In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

42. Knowledge Management Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

43. Output/s Knowledge Management Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

44. Output/s Knowledge Management Learning Network Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

45. Output/s Knowledge Management Learning Network Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

46. Output/s Knowledge Management Learning Network Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

47. Output/s Knowledge Management Learning Network Inter-category Synthesis In depth, structured internal analysis of each category Inventory of information and division into n categories Removal of ‘variables’ Body of information in varying formats and analysis

48. IW:Science Database A tool for you to use

49. Archive ‘Database’ System

50. Archive ‘Database’ System Search Field