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) |