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Melding data, systems, and society
- Research is becoming increasingly interdisciplinary to address societal challenges such as climate change and pandemics.
- Munther Dahleh created MIT's Institute for Data, Systems, and Society (IDSS) to foster lasting collaborations across disciplines.
- His book, 'Data, Systems, and Society: Harnessing AI for Societal Good,' details the institute's vision and structure.
- The concept of 'the triangle' guides the institute, emphasizing the interaction of physical systems, people, and policy.
- The Covid-19 pandemic exemplifies the need to consider societal impact when solving complex problems.
- Ethical considerations in AI, like decision-making in self-driving cars, are highlighted in the book.
- Transdisciplinary research, as seen in IDSS, aims to create a lasting impact by bridging disciplinary boundaries.
- IDSS provides a structured approach for students to consider various components when addressing societal challenges.
- Dahleh aims to document the creation and thinking behind IDSS through his book, offering historical perspective.
- His book serves as a reflection on the journey of establishing the institute and the importance of interdisciplinary collaboration.
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