by Δρ Φώτης Φυτσιλής | Sep 11, 2026 | Announcement, Hellenic OCR Team, Media, Uncategorized
The Hellenic OCR Team and AFRIPAL (Africa Regional Convening on Parliament and Legislation) have signed a Memorandum of Understanding (MoU) establishing a two-year partnership to advance parliamentary research and digitalization across Africa. Under the agreement, the...
by Δρ Φώτης Φυτσιλής | Jul 15, 2025 | Announcement, Articles in English, Hellenic OCR Team, Media, Newsletter, Parliaments, Technology, Uncategorized
Universidad Austral and Hellenic OCR Team formalize strategic partnership for strengthening global cooperation in governance and parliamentarism. Press release Buenos Aires and Athens, 14 July 2025 Universidad Austral’s School of Politics, Government and International...
by Δρ Φώτης Φυτσιλής | Jun 15, 2025 | Announcement, Hellenic OCR Team, Media, Parliaments, Technology, Uncategorized
Official photos of the 4th Global Conference on Parliamentary Studies (constantly updated). Credits: #HellenicOCRTeam...
by Δρ Φώτης Φυτσιλής | Dec 20, 2022 | Announcement, Hellenic OCR Team, Media, Uncategorized
The Hellenic OCR Team and The Open Government Institute at Zeppelin University announce their partnership. Friedrichshafen/Athens. Parliaments generate and process enormous amounts of data. Some of these are publicly accessible, some are not. How can these data...
by Δρ Φώτης Φυτσιλής | Dec 20, 2022 | Announcement, Hellenic OCR Team, Media, Parliaments, Technology, Uncategorized
The Hellenic OCR Team is incredibly proud to announce the publication of its first collective authoring effort titled Smart Parliament: Data-driven Democracy. The book is jointly edited by the Team’s co-founders, Fotis Fitsilis and George Mikros. The book is...
by Δρ Φώτης Φυτσιλής | Dec 20, 2022 | Hellenic OCR Team, Media, Parliaments, Technology, Uncategorized
On 31 August 2022 the Hellenic OCR Team organized jointly with The Open Government Institute of Zeppelin Universität, a special workshop for the Honorable Chamber of Deputies of Argentina to collect empirical evidence for the future institutional use of Artificial...
