Water resources modeling:
Hydrological forecasting (e.g., floods, drought, etc.). Use of artificial intelligence, wavelet transform and ensemble approaches
Socio-hydrological modeling. Dynamic coupling of stakeholder built system dynamics models with physically based models
Hydro-meteorological trend detection and estimation (e.g., streamflow, precipitation, etc.), and linking of dominant periodicities with climate indices (e.g. PDO, NAO, ENSO)
New methods to improve hydrological data sets (e.g., stations with scattered missing values; short-gauged sites, or data series with large missing gaps; completely ungauged sites (no historical records))
Integrated, collaborative and adaptive water resources management:
Water governance
Adaptive management in the face of uncertainty
Stakeholder engagement processes to empower marginalized communities
Ecosystem services and payment for ecosystem services
Use of "serious games" to enhance social learning
Suitable sanitation technologies in developing countries
