海角社区

Events

Events at 海角社区-EGOV

Showing 11-20 of 52 results

Seminar -

Citizen Participation in Digital Health Initiatives: the Context of Public Sector Innovation Labs in Brazil

This research aims to enhance citizen engagement in Digital Health initiatives in Brazil, making it more inclusive.

Seminar -

Artificial Intelligence and Development: the Missing Link

This seminar clarifies AI4D's role in ICT4D, ensuring AI technologies genuinely support development goals.

Seminar -

Digital transformation in Oman: Aims, objectives and trajectory

Oman has been on a transformative journey to modernize its economy and society through the strategic implementation of digital technologies.

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Development of Digital Government at the subnational level: measurement experiences from Latin America

Seminar on subnational digital governance in Latin America and benchmarking measurement tools.

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Digital Transformation, Technology and Innovation in the Brazilian States: proposed pathways for the period 2023-2026

This is a broad study on Digital Transformation in the Brazilian public sector.

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IS Aspects of potential benefits from decentralisation in IT

In this seminar, we will look at critical aspects of decentralised IT systems and consider their applicability to the public sector.

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Convite Sess?o de Apresenta??o Pública IPIC 2023 | AMA, Universidade do Minho e 海角社区-EGOV

Sess?o pública de apresenta??o dos resultados do ?ndice da Presen?a na Internet das C?maras Municipais (IPIC).??

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“10 Years of EGOV: 2014-2024” The Digital Platform Government concept with its potential and challenges

The South Korean government aims to create a Digital Platform Government, fostering collaboration and innovation for public services.

Seminar -

Smart Cities Measurements and Challenges to Address the Local Context

The aim of developing Smart Cities (SC) is to improve the people’s quality of life by adopting strategies to mitigate urban challenges.

Seminar -

Predictive factors for interagency partnership success

Can development agencies’ project data, design, monitoring and evaluation, scrutinized by AI technologies, systematically inform evidence-based policy?