An Extended Reality System for Situation Awareness in Flood Management and Media Production Planning

Symeonidis, Spyridon; Samaras, Stamatios; Stentoumis, Christos; Plaum, Alexander; Pacelli, Maria; Grivolla, Jens; Shekhawat, Yash; Ferri, Michele; Diplaris, Sotiris; Vrochidis, Stefanos

doi:10.3390/electronics12122569

Cited by 4 publications

(2 citation statements)

References 51 publications

(53 reference statements)

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“…Leveraging on generative AI could indeed play a significant role in increasing citizen awareness and adoption of e-government services (Symeonidis et al, 2023). AI virtual assistants powered by GPT-4, deployed on public service apps, could engage citizens in the digital spaces they already frequent.…”

Section: Increasing Citizen Awarenessmentioning

confidence: 99%

E-Government in Nigeria: Can Generative AI Serve as a Tool for Civic Engagement?

Abdulkareem

2024

PGAF

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This paper examines the potential for using generative artificial intelligence (AI) to boost civic participation in Nigeria’s developing e-government ecosystem. Emerging generative technologies like ChatGPT demonstrate intriguing capabilities to make governance more interactive and engaging through conversational interfaces. Thoughtfully implemented AI tools could increase access and understanding of e-government, particularly for underserved groups. However, risks around bias, privacy, security and capability limitations pose challenges for public sector applications. Additionally, Nigeria’s substantial digital divides and defective trust in government institutions hamper e-government participation currently. This paper analyses opportunities and limitations for applying generative AI to advance civic engagement given Nigeria’s unique socio-cultural context. Findings suggest that while AI holds promise, targeted strategies focused on inclusion, accessibility, education and institutional legitimacy building are critical to realise benefits. Cautious optimism, human-centric design and responsible governance frameworks are needed to employ generative systems successfully. If challenges are addressed, AI could open innovative possibilities for energising civic participation. But further research and controlled pilot applications are required to determine optimal implementation.

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Section: Increasing Citizen Awarenessmentioning

confidence: 99%

E-Government in Nigeria: Can Generative AI Serve as a Tool for Civic Engagement?

Abdulkareem

2024

PGAF

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“…Structured data refers to information organized in a specific format, such as databases and spreadsheets, while unstructured data includes text documents, images, videos, and social media posts. Semi-structured data lies somewhere in between, with some predefined structure but also flexibility [21][22][23]. Data collection involves acquiring and gathering relevant data from various sources.…”

Section: Data Collection and Preparationmentioning

confidence: 99%

Analyzing the Opportunities and Challenges Associated With Using Mathematical and Statistical Methods in Data Science

Kuppuswamy,

Al-Maliki,

Abdul Azees

et al. 2023

INDJCSE

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Data science is an interdisciplinary field that applies scientific methods, processes, algorithms, and systems to extract meaningful insights and knowledge from structured and unstructured data. At the core of this field lies the utilization of mathematical algorithms to analyze vast datasets and make informed decisions. These algorithms, infused with statistical techniques, computational models, and predictive analytics, play a crucial role in understanding patterns, predicting trends, and making data-driven decisions. Data science utilizes mathematical tools, algorithms, and techniques to extract meaningful insights from data, make predictions, and drive decision-making processes. This article explores the strong relationship between data science and mathematics, delving into various mathematical concepts and methodologies employed in data science, and highlighting their applications and contributions to the field. Basically, there is a lot of confusion about using and implementing perfect modeling algorithms in data science. In this article, the utilization of different machine learning and Artificial Intelligence algorithms applied to data science are described. Moreover, in this article we try to explore the concept of performance efficiency in data science algorithms, highlighting the factors that influence efficiency, discussing common metrics for evaluation, and presenting optimization techniques to enhance algorithm performance.

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Xian Metaverse - Extended Reality Technology Enabling Digital Economy in Commercial Neighborhoods

Liang,

Ni,

Chen

2024

Communications in Computer and Information Science

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An Extended Reality System for Situation Awareness in Flood Management and Media Production Planning

Cited by 4 publications

References 51 publications

E-Government in Nigeria: Can Generative AI Serve as a Tool for Civic Engagement?

E-Government in Nigeria: Can Generative AI Serve as a Tool for Civic Engagement?

Analyzing the Opportunities and Challenges Associated With Using Mathematical and Statistical Methods in Data Science

Xian Metaverse - Extended Reality Technology Enabling Digital Economy in Commercial Neighborhoods

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