Policy Is Policy and Science Is Science: Shall the Twain Ever Meet? - Governing the Nexus: Water, Soil and Waste Resources Considering Global Change - page 219

Sub - elds for Component 5: Functionality of national/regional databases

(a) National level : Trend analysis emerging from sector speci c or pilot projects

in emerging and developing countries
(b) Regional level : Establishment of a nexus index that can potentially inform
decisions on allocation of

financial and/or human resources by governments/
donors at different scales: Regional, national and provincial for integrated
management of environmental resources

(c) International level : Donor harmonization, cross-fertilization across regions/

countries, institutional arrangements for establishment and maintenance of a
global nexus index

4.3 Science Domain: Nexus Observatory Classi catory

Scheme

Expected Outcomes

1. Boundary conditions: Speci ed to determine applicability of research outputs

2. Scale conditions: Speci ed to determine applicability of research outputs

3. Intersections: Critical nodes at intersection of biophysical, institutional and
socio-economic domains that

impact upon management of environmental

ed
4. Interactions: Biophysical and institutional processes that impact upon man-
agement of environmental resources mapped
5. Feedback loops: Mechanisms that transmit the effects of policy/programme
interventions on human behaviour and their consequences for resource use
strengthened

resources identi

Sub - elds for Component 1: Speci cation of boundary conditions

(a) Projects and programmes : Analysis of success and failure of policy, pro-
grammes and projects, exploring both backward and forward linkages in an
institutional and biophysical context; clarifying boundary conditions both
spatially and temporally
(b) Linked databases : Analysis of backend data from universities and UN agen-
cies relevant to water resources, systems and flux, waste management and soils
(c) Process documentation : Analysis of regional consultations that generates
important insights relating to needs assessments, gap analysis and overlaps in
a cost-effective manner
(d) Citizen observatories : Employ private data sets based on information from
GIS, mobile and open source computing applications
(e) Data visualization : Employ suitable modelling techniques for data rich and
poor environments