Facebook Icon Twitter Icon Youtube Icon Linked Icon Git Icon

Cross-Disciplinary Statistical Applications in the Anthropocene

Printer-friendly versionPDF version
Award Year: 
2017
Principal Investigator: 
Christopher Trisos, SESYNC
Noelle Beckman, SESYNC
Joe Maher, SESYNC
Associated Program: 

 

The objective of this workshop is to enhance collaboration among ecologists, environmental scientists, applied statisticians, and economists to promote the sharing and development of analytical methods across disciplines in an effort to tackle wicked problems in an era of big data. The transfer of methods across disciplines will provide novel ways of addressing longstanding questions in both basic ecological and economic research, while interdisciplinary collaborations to develop analytical methods will lead to transformative approaches for solving complex socio-environmental problems. Within the workshop, participants will compare statistical techniques used to determine causality by the different disciplines, and identify their comparative advantages and drawbacks. The workshop will address: What novel socio-environmental research opportunities exist at the interface of ecology and economics that are facilitated by sharing statistical methods across disciplines, as well as rapid advances in high spatial and temporal resolution datasets on social and ecological systems.

Associated SESYNC Researcher(s):