Ulteriori informazioni
"Harnessing the power of data and AI methods to tackle complex societal challenges requires transdisciplinary collaboration across academia, industry, and government. This compelling book offers a blueprint for researchers, professionals, and institutions wanting to use innovative, holistic, data-driven methods to solve problems of societal value"--
Sommario
Preface: when problems get real; 1. The pitfalls, promises, and challenges of data; 2. A confluence of fields – some historical perspective; 3. Who – and what – should drive decision-making? Harnessing data for the good of society; 4. A transdiscipline is born; 5. Complexity versus relevance – the power of abstractions; 6. The care and feeding of a new discipline at MIT; 7. People, programs, and research – perpetuating a virtuous cycle; 8. Personal reflections on the journey; Acknowledgments; References; Index.
Info autore
Munther A. Dahleh is William Coolidge Professor of Electrical Engineering and Computer Science and Founding Director of the Institute for Data, Systems, and Society at the Massachusetts Institute of Technology. He is well known for his seminal contributions to the foundations of the field of decisions under uncertainty, impacting several application domains including transportation systems, power grids, and social, economic, and financial networks. He is a four-time recipient of the IEEE CSS George S. Axelby Outstanding Paper Award for papers in the 'IEEE Transactions on Automatic Control' and the 1993 recipient of the Eckman Award for outstanding control engineers under thirty-five.
Riassunto
Harnessing the power of data and AI methods to tackle complex societal challenges requires transdisciplinary collaboration across academia, industry, and government. This compelling book offers a blueprint for researchers, professionals, and institutions wanting to use innovative, holistic, data-driven methods to solve problems of societal value.
Prefazione
A blueprint for addressing complex social issues using data science and AI through collaboration across academia, industry, and government.
