Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop
2019

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On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.

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108 pages · 6 x 9 · paperback
ISBN Paperback: 0-309-49411-7
ISBN Ebook: 0-309-49412-5
DOI: https://doi.org/10.17226/25480

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National Academies of Sciences, Engineering, and Medicine. 2019. Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop. Washington, DC: The National Academies Press.

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Front Matter i-xiv
1 Introduction 1-3
2 Framing the Problem 4-14
3 Advances in Data, Modeling, and Simulation 15-40
4 Challenges and Opportunities for Cities 41-48
5 Identifying Directions for Partnership 49-54
6 Reflections and Next Steps 55-62
References 63-64
Appendixes 65-66
Appendix A: Workshop Agenda 67-69
Appendix B: Registered Workshop Participants 70-87
Appendix C: Workshop Planning Committee Biographical Information 88-94

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Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop (2019)

Chapter: Front Matter

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Enhancing Urban Sustainability with Data, Modeling, and Simulation: Proceedings of a Workshop (2019)

Chapter: Front Matter