1
Scope
2 References
3 Definitions
3.1 Terms defined elsewhere
3.2 Terms defined in this Recommendation
4 Abbreviations and acronyms
5 Conventions
6 City science
6.1 Urban challenges and problems
6.2 Data
6.3 Scientific techniques and methods
7 City science stakeholders
8 City science enablers
9 City science application framework – Methodology
9.1 Step 1: Assess the current city science applications status
(baselining)
9.2 Step 2: Prioritize and determine city science applications
9.3 Step 3: Boost city science applications
9.4 Step 4: Assess projected city science applications impact
10 Case studies
10.1 Air quality management in Southern California – USA
10.2 Happiness Meter – Dubai, UAE
10.3 Crime prediction for more agile policing in cities – Rio
de Janeiro, Brazil
10.4 Data-driven energy savings in the Hyperdome shopping
centre –Queensland, Australia
10.5 Fine Dust Filtration – Stuttgart, Germany
10.6 Rashid, City Concierge – Dubai, UAE
10.7 Adaptive Circular Cities – Amsterdam, Netherlands
10.8 Unlocking the potential of trust-based AI for city science and
smarter cities
11 Conclusion
Annex A – City science enabler assessment
Bibliography