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Socio-Environmental Modeling

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Resource: Learning Materials

Resources for Socio-Environmental Systems Modeling

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Research: Publication

Determinants of emissions pathways in the coupled climate–social system

Article published in Nature
Frances C. Moore
Katherine Lacasse
Katharine J. Mach
et al.
February 01, 2022
Resource: Learning Materials

Introduction to Futures Thinking in Socio-Environmental Systems

Jaime Ashander
Research: Publication

Spatial patterns and drivers of smallholder oil palm expansion within peat swamp forests of Riau, Indonesia

Article published in Environmental Research Letters
Jing Zhao
Janice Ser Huay Lee
Andrew J. Elmore
et al.
January 01, 2022
Research: Publication

Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community

Article published in Ecosphere
R. Chelsea Nagy
Jennifer K. Balch
Erin K. Bissell
et al.
December 01, 2021
Resource: Learning Materials

Creating Socio-Environmental Scenarios

Hannah Kosow
Vanessa Schweizer
Research: Publication

Leveraging ancillary benefits from urban greenspace – a case study of St. Louis, Missouri

Article published in Urban Water Journal
Page Jordan
Fushcia-Ann Hoover
Matthew E. Hopton
November 01, 2021
Research: Publication

From fAIrplay to climate wars: making climate change scenarios more dynamic, creative, and integrative

Article published in Ecology and Society
Laura Pereira
David Morrow
Valentina Aquila
et al.
November 01, 2021
Research: Publication

Assessing population exposure to coastal flooding due to sea level rise

Article published in Nature Communications
Mathew E. Hauer
Dean Hardy
Scott A. Kulp
et al.
November 01, 2021
Research: Publication

Reply to: Spatial scale and the synchrony of ecological disruption

Article published in Nature
Christopher Trisos
Cory Merow
Alex L. Pigot
November 01, 2021
Event: Webinar/Panel

Confronting Issues of Scale in Socio-Environmental Systems Modeling Webinar

Thursday, September 02, 2021
Sondoss Elsawah
Hsiao-Hsuan 'Rose' Wang
Val Snow
et al.

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SESYNC is supported by an award from the U.S. National Science Foundation (Grant #s DBI-1052875 and DBI-1639145) to the University of Maryland, with additional support from University of Maryland, University of Maryland Center for Environmental Science, and Resources for the Future.

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