Artificial Intelligence and Data Science Practices in Scientific Development
Synopsis
This book constitutes a comprehensive exploration of two pivotal domains that are indispensable for comprehending the contemporary challenges confronting science and society: artificial intelligence and data science. These disciplines profoundly influence the generation of knowledge, the development of innovations, and the resolution of complex problems in various domains of social, economic, political, and cultural life. Entitled Artificial Intelligence and Data Science Practices in Scientific Development, this book compiles studies and applications from research groups collaborating at the intersection of technology, information, and scientific innovation and cultural areas.
Chapters
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Art, technology, and creative processes: A new paradigm for artistic production
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Obstetric decision-support system: An informational model for maternal autonomy towards the Agenda 2030 health goals
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Data provenance and blockchain: An approach in the context of health information systems
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Structuring a data lake for the management of scientific information in Brazil
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Dialogic bridges: Voices between ideological frontiers
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Analysis of patent production in Brazil: A perspective from the Lattes platform
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A framework for collecting, processing, and analyzing scientific data on social media
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Design without data? A study of methodological transparency in contemporary design science
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Bibliographic analysis of scientific literature on health knowledge management
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Published
5 August 2025
Categories
Copyright (c) 2025 The publisher owns the copyright over the full book; while authors retain copyright over their individual chapters.
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.