Data Science Advancements in Healthcare, Education, and Cities

Abstract

Data science, a prominent subset of artificial intelligence (AI), specializes in analyzing vast datasets using diverse tools and methods to derive insights and predictions. Its applications span various domains, notably cybersecurity, crucial for safeguarding systems and data from internal and external threats amid escalating challenges. The integration of data science in sectors like energy and environment underscores its transformative potential. The digitization of energy systems enables real-time data acquisition, facilitating timely analysis of human impacts on the environment and society. Furthermore, data science aids in monitoring policy effectiveness towards sustainable development (SD) goals. However, the rapid evolution of technology presents formidable challenges, necessitating organizational adaptability and utilization of cutting-edge advancements, especially in online communication. Amidst these shifts, data science emerges as a pivotal tool for informed decision-making and innovation, poised to make significant contributions across diverse sectors of the economy.