Three R packages provide access to data from Tunisia's General Population and Housing Censuses (RGPH), conducted by the National Institute of Statistics (INS):

• rgph2014tn : Raw 2014 census data at the delegation, governorate, and national levels

• rgph2024tn : Raw 2024 census data at the sector, delegation, governorate, and national levels

• tncensus : Harmonized 2014–2024 panel: 45 indicators across 281 delegations with a geographic crosswalk

Available on GitHub. CRAN versions under review.

For my research on elite networks, I have built several novel datasets that allow me to map and test theories about elites in Tunisia, Syria, Israel, Egypt, and the Soviet Union. While some are embargoed, others are already publicly available on GitHub. 

• EgyptPolitiElites: A person–firm affiliation dataset covering the boards of Egyptian joint-stock companies at five points between 1932 and 1950, machine-extracted from Élie I. Politi's Annuaire des sociétés égyptiennes par actions.

• ParliamentariansTN: A relational dataset of Tunisian parliamentarians from the 1956 Constituent Assembly to the 2023 sitting chamber.

• ColonialEntreprisesFR: A dataset on ~7,300 French colonial companies, their directors and the ties between them, covering the 1830s–1970s across 14 colonized territories (Maghreb, AOF, AEF, Indochina, Madagascar, Pacific, Antilles, Levant, French India)

• Lambert1912ElitesTN: A person-organization affiliation dataset covering French colonial networks in Tunisia in 1912, machine-extracted from Paul Lambert's Dictionnaire illustré de la Tunisie: choses et gens de Tunisie.

• GovMembersTN: A source-linked dataset of the members of Tunisia's governments, built for both individual-level analysis (who gets into government, from where, with what background, for how long) and network analysis (who served alongside whom, who succeeded whom, who shares a background).