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Suggested Citation:"References." 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. doi: 10.17226/25480.
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References

Commission on Evidence-Based Policymaking. 2017. The Promise of Evidence-Based Policymaking. https://www.cep.gov/cep-final-report.html.

Data for Democracy. 2017. “Community Principles on Ethical Data Sharing.” https://data-practices.org/community-principles-on-ethical-data-sharing/.

Ganguly, A.R., U. Bhatia, and S.E. Flynn. 2018. Critical Infrastructures Resilience: Policy and Engineering Principles. New York: Routledge.

Ganguly, A.R., E. Kodra, U. Bhatia, M.E. Warner, K. Duffy, A. Banerjee, and S. Ganguly. 2018. “Data-Driven Solutions.” Climate 2020. https://www.climate2020.org.uk/data-driven-solutions/.

Keller, S., S. Shipp, and A. Schroeder. 2016. Does big data change the privacy landscape?: A review of the issues. Annual Review of Statistics and Its Application 3:161–180.

NASEM (National Academies of Sciences, Engineering, and Medicine). 2016. Pathways to Urban Sustainability: Challenges and Opportunities for the United States. Washington, D.C.: The National Academies Press.

NRC (National Research Council). 2013. Principles and Practices for a Federal Statistical Agency, Fifth Edition. Washington, D.C.: The National Academies Press.

Ramaswami, A., L. Bettencourt, A. Clarens, S. Das, G. Fitzgerald, E. Irwin, D. Pataki, S. Pincetl, K. Seto, and P. Waddell. 2018. “Sustainable Urban Systems: Articulating a Long-Term Convergence Research Agenda.” https://www.nsf.gov/ere/ereweb/acere/sustainable-urban-systems.pdf.

Suggested Citation:"References." 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. doi: 10.17226/25480.
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Suggested Citation:"References." 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. doi: 10.17226/25480.
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Page 63
Suggested Citation:"References." 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. doi: 10.17226/25480.
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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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