The author of "Data and Analytics in School Education" is a PhD holder, an accomplished researcher and publisher with a wealth of experience spanning over 12 years. With a deep passion for education and a strong background in data analysis, the author has dedicated his career to exploring the intersection of data and analytics in the field of school education. His expertise lies in uncovering valuable insights and trends within educational data, enabling educators and policymakers to make informed decisions that positively impact student learning outcomes.
Throughout his career, the author has contributed significantly to the field of education through his research studies, which have been published in renowned academic journals and presented at prestigious conferences. His work has garnered recognition for its rigorous methodology, innovative approaches, and practical implications for the education sector. As a thought leader in the domain of data and analytics, the author has also collaborated with various educational institutions, government agencies, and nonprofit organizations to develop effective strategies for leveraging data-driven insights to drive educational reforms and enhance student success. His expertise and dedication make him a trusted voice in the field, and "Data and Analytics in School Education" is set to be a seminal contribution that empowers educators and stakeholders to harness the power of data for educational improvement.
"Strategic Policy Insights in Data Science" unravels the pivotal nexus between policy and the transformative world of data science. In this compelling exploration, the book navigates through the complexities of Ethical AI Adoption, delving into fair algorithms, bias detection, and the crucial need for transparency. Privacy takes center stage with a profound examination of Comprehensive Privacy Laws, Consent Transparency Standards, and the nuances of Personal Data Ownership. Open Data Initiatives and Cybersecurity Resilience are dissected, emphasizing collaboration, robust authentication, and innovative cybersecurity measures. Algorithmic Accountability emerges as a guiding principle, addressing auditing frameworks, bias impact assessments, and the imperative of human oversight. The journey concludes with a deep dive into Data Governance Frameworks, advocating for quality standards, cross-sector integration, and real-time monitoring. This book serves as a compass for policymakers, data scientists, and enthusiasts navigating the ethical landscapes of data science, fostering responsible innovation and governance in the digital age.
Título : Strategic Policy Insights in Data Science
EAN : 9798223505396
Editorial : Dr. Zemelak Goraga
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