Book contents
- Data, Systems, and Society
- Reviews
- Data, Systems, and Society
- Copyright page
- Contents
- Preface
- 1 The Pitfalls, Promises, and Challenges of Data
- 2 A Confluence of Fields
- 3 Who – and What – Should Drive Decision-Making?
- 4 A Transdiscipline Is Born
- 5 Complexity versus Relevance
- 6 The Care and Feeding of a New Discipline at MIT
- 7 People, Programs, and Research
- 8 Personal Reflections on the Journey
- Acknowledgments
- Bibliography
- Index
7 - People, Programs, and Research
Perpetuating a Virtuous Cycle
Published online by Cambridge University Press: 24 March 2025
Book contents
- Data, Systems, and Society
- Reviews
- Data, Systems, and Society
- Copyright page
- Contents
- Preface
- 1 The Pitfalls, Promises, and Challenges of Data
- 2 A Confluence of Fields
- 3 Who – and What – Should Drive Decision-Making?
- 4 A Transdiscipline Is Born
- 5 Complexity versus Relevance
- 6 The Care and Feeding of a New Discipline at MIT
- 7 People, Programs, and Research
- 8 Personal Reflections on the Journey
- Acknowledgments
- Bibliography
- Index
Summary
This chapter explores how students and faculty have applied their training in the DSS transdiscipline to address complex societal problems. Through examples from fields as diverse as climate change, social media, genomics, and anesthesia, it demonstrates the breadth of the transdiscipline’s power. Those examples illustrate how the DSS framework enables researchers to navigate and effectively address complex societal questions.
- Type
- Chapter
- Information
- Data, Systems, and SocietyHarnessing AI for Societal Good, pp. 111 - 118Publisher: Cambridge University PressPrint publication year: 2025