Social and Behavioral Sciences Commons^™

Agenda: 2010 World Energy Justice Conference: Emerging Solutions For The Energy Poor: Technological, Entrepreneurial And Institutional Challenges, University Of Colorado Boulder. Center For Energy & Environmental Security, Colorado Journal Of International Environmental Law And Policy

2010 World Energy Justice Conference (November 5)

This conference is a sequel to the 2009 World Energy Justice Conference (WEJC 2009) which began examining ways of mainstreaming safe, clean, and efficient energy for the world's Energy Poor (EP). The EP number two and a half billion people living on less than $1-2 a day who have no access to modern energy services. WEJC 2010 more fully develops these themes. WEJC 2010 will explore how the next round of global warming meetings in Cancun could design new flexibility mechanisms that give credits, for example, for the reduction of black carbon by the adoption of cookstoves, and embrace small …

Foodshed Foundations: Law's Role In Shaping Our Food System's Future, Margaret Sova Mccabe

Law Faculty Scholarship

[. . .] This symposium Article analyzes how we can rethink the architecture of law based on a foodshed model to provide a greater role for local, state, and regional government in the American food system. In turn, greater roles for different levels of government may help America achieve greater efficiencies in domestic food safety, nutrition and related public health issues, sustainability, and international trade.

Americans need a greater voice in the food system. The foodshed model is a powerful vehicle that allows us to conceptualize change, allowing greater citizen participation and a more nuanced approach to food policy. The …

Random Forests Applied As A Soil Spatial Predictive Model In Arid Utah, Alexander Knell Stum

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Initial soil surveys are incomplete for large tracts of public land in the western USA. Digital soil mapping offers a quantitative approach as an alternative to traditional soil mapping. I sought to predict soil classes across an arid to semiarid watershed of western Utah by applying random forests (RF) and using environmental covariates derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and digital elevation models (DEM). Random forests are similar to classification and regression trees (CART). However, RF is doubly random. Many (e.g., 500) weak trees are grown (trained) independently because each tree is trained with a new randomly …

Slides: Water For Oil (Shale)?, Bart Miller

The Promise and Peril of Oil Shale Development (February 5)

Presenter: Bart Miller, Water Program Director, Western Resource Advocates

10 slides