WP1: Project Managment

The efficient management of the project will be secured through weekly Meet­ings with the supervisor, Quarterly progress reports, and Interim and Final reports.

WP2: Data collection

The project’s methodology relies on population data extraction, settlement identification and georeferencing of this data. Completion of each phase of data collection is regarded as a Milestone.
Milestones: Identification of the 19th-century nüfus registers in the BOA, data extraction, settlement identification, and creation of settlement data points (M2.1); identification of the 18th-century kefalet registers in the BOA and data extraction (M2.2); population data extraction from Bulgarian national censuses (M2.3).

WP3: Training

The training program of the project envisages custom-designed training in advanced GIS methods, training in advanced methods of data science, and a continuous process of training through interaction with the supervisor and the team members of the UrbanOccupations_OETR project.

WP4: Processing and spatial analysis of data

Georeferenced data collected in WP2 will be subjected to precise spatial analysis that will result in the following Deliverables:
Deliverables: Creation of historically accurate administrative polygons, based on the 19th-century registers (D4.1); Spatial analysis of previously collected 16th–17th- and 19th-century data (D4.2); Creation of historically accurate administrative polygons, based on the 18th-century registers and 20th-century population censuses (D4.3); Spatial and cluster analysis of Bulgaria’s population household structure (D4.4)

WP5: Academic dissemination

The dissemination plan of the project results includes academic publications, presentations at conferences, organization of a workshop, public talks, launch of openly accessible online platforms that structurally visualize the DB, and integration of the project’s DB into the datasets of CAMPOP.

WP5: Academic dissemination

The dissemination plan of the project results includes academic publications, presentations at conferences, organization of a workshop, public talks, launch of openly accessible online platforms that structurally visualize the DB, and integration of the project’s DB into the datasets of CAMPOP.