Computational thinking is a critical skill that influences all fields of endeavor. It involves problem-solving, system design, and understanding human behavior through computing concepts. This thinking combines elements of science, technology, and society, and is essential for addressing complex challenges. Abstraction and automation are central to computational thinking, enabling the creation of complex systems through layered abstractions. These abstractions allow for the management of real-world constraints and the development of efficient solutions. Computational thinking is not limited to computer science but is increasingly influencing other disciplines such as statistics, biology, economics, and the humanities. It enables the analysis of large datasets, the modeling of complex systems, and the discovery of new patterns and insights. The integration of computational thinking into education is crucial, especially at the elementary and high school levels, to ensure that future generations can think computationally. The field of computing is driven by scientific questions, technological innovation, and societal demands. These three drivers interact in a dynamic way, with scientific discoveries leading to technological advancements, which in turn influence society. Conversely, societal needs can drive new scientific research and technological development. For example, the demand for more efficient energy use in computing infrastructure has led to new scientific inquiries. Technological trends such as nanocomputing, biocomputing, and quantum computing are shaping the future of computing. These advancements, along with the increasing use of mobile devices and the Internet, are transforming how we interact with technology. Societal drivers include the need for accessible, reliable, and secure technology that serves a diverse population. This requires balancing openness with privacy and ensuring that technology is available to all. Scientific challenges, such as whether P equals NP, remain central to computing. The concept of a computer itself is being redefined in light of these challenges and technological advancements. Computational thinking is essential for navigating these complexities and for fostering innovation across all fields.Computational thinking is a critical skill that influences all fields of endeavor. It involves problem-solving, system design, and understanding human behavior through computing concepts. This thinking combines elements of science, technology, and society, and is essential for addressing complex challenges. Abstraction and automation are central to computational thinking, enabling the creation of complex systems through layered abstractions. These abstractions allow for the management of real-world constraints and the development of efficient solutions. Computational thinking is not limited to computer science but is increasingly influencing other disciplines such as statistics, biology, economics, and the humanities. It enables the analysis of large datasets, the modeling of complex systems, and the discovery of new patterns and insights. The integration of computational thinking into education is crucial, especially at the elementary and high school levels, to ensure that future generations can think computationally. The field of computing is driven by scientific questions, technological innovation, and societal demands. These three drivers interact in a dynamic way, with scientific discoveries leading to technological advancements, which in turn influence society. Conversely, societal needs can drive new scientific research and technological development. For example, the demand for more efficient energy use in computing infrastructure has led to new scientific inquiries. Technological trends such as nanocomputing, biocomputing, and quantum computing are shaping the future of computing. These advancements, along with the increasing use of mobile devices and the Internet, are transforming how we interact with technology. Societal drivers include the need for accessible, reliable, and secure technology that serves a diverse population. This requires balancing openness with privacy and ensuring that technology is available to all. Scientific challenges, such as whether P equals NP, remain central to computing. The concept of a computer itself is being redefined in light of these challenges and technological advancements. Computational thinking is essential for navigating these complexities and for fostering innovation across all fields.