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Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

MTF data show 10% of 19-20 year-olds report bouts of drinking 10-plus alcoholic beverages

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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Explaining Protected Areas (PA) Outcomes in the Andes-Amazon Region

a PSC Research Project

Investigators:   Arun Agrawal, Daniel G. Brown

The importance of understanding and explaining better forest and social outcomes for community forests and protected areas has seldom been greater. The continuing importance of forests in the daily lives of hundreds of millions of households around the world, and the widespread recognition of the role of forests in reducing climate change-related emissions provide a new urgency to analytical efforts to understand how deforestation can be reduced without adversely affecting the livelihoods of those who depend on forests.

The proposed program of work aims to achieve two outcomes: 1) identify the most critical social indicators associated with global and regional variations in forest-related social and ecological outcomes in community-managed forests and 2) take the initial steps toward developing statistical models to explain spatial and over time variations in forested protected area outcomes in the Andes-Amazon region. To achieve the first outcome, the project will use and analyze existing data in the International Forestry Resources and Institutions (IFRI) database that has been collected over the past two decades in 250 sites around the world. To achieve the second outcome, the project will create a new database on forest outcomes and management effectiveness indicators for PAs in the Andes-Amazon region, and an initial set of driving causal variables that can help explain forest outcomes.

Funding Period: 07/27/2011 to 09/30/2014

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