@inproceedings{c18e6bf6148e41e5865567299a74edbd,
title = "Open Government and Open Data in Times of COVID-19",
abstract = "The Covid-19 pandemic happened when public administrations were convinced of the need to expose their data on open data portals. However, the global emergency that COVID-19 produced in governments highlighted some shortcomings in terms of public policies and strategies related to open data, open government, and open innovation. The aim of the open government and open data in times of COVID-19 panel is to discuss experiences and the potential consequences of open government and open data exploitation to combat the pandemic caused by the SARS-CoV-2 virus.",
keywords = "Artificial Intelligence, COVID-19, Consequences, Open Data, Open Government, SARS-CoV-2, Strategies",
author = "Loni Hagen and Rodrigo Sandoval-Almazan and Stephan Okhuijsen and Susana Cabaco and \{A. Ruvalcaba-Gomez\}, Edgar and Julian Villodre and Wookjoon Sung and David Valle-Cruz",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 22nd Annual International Conference on Digital Government Research: Digital Innovations for Public Values: Inclusive Collaboration and Community, DGO 2021 ; Conference date: 09-06-2021 Through 11-06-2021",
year = "2021",
month = jun,
day = "9",
doi = "10.1145/3463677.3463740",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "598--600",
editor = "Jooho Lee and Pereira, \{Gabriela Viale\} and Sungsoo Hwang",
booktitle = "Proceedings of the 22nd Annual International Conference on Digital Government Research",
}
