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Regional and Urban Data Science Projects For Citizen and Youth Engagement

Table 1: Project work phases and Examples of projects of participants of "Data-Campus" on regional analytics and data-urbanism

Project work phases and evaluation parameters Phases of the CRISP-DM data research cycle
Conceptual (mastering the concepts of a particular subject area) data understanding, initial data investigation
Analytical (multidimensional description of a chosen data-driven subject) initial data investigation, data preparation
Predictive (interpretation of results, identification of analytical models, forecasts and scenarios) modeling, evaluation, implementation (presentation of results)
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