  This chapter provides a summarized, critical and analytical point of view of
the data-centric solutions that are currently applied for addressing urban
problems in cities. These solutions lead to the use of urban computing
techniques to address their daily life issues. Data-centric solutions have
become popular due to the emergence of data science. The chapter describes and
discusses the type of urban challenges and how data science in urban computing
can face them. Current solutions address a spectrum that goes from data
harvesting techniques to decision making support. Finally, the chapter also
puts in perspective families of strategies developed in the state of the art
for addressing urban problems and exhibits guidelines that can lead to a
methodological understanding of these strategies.
