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Full-Text Articles in Law

Agenda: Fracking, Water Quality And Public Health: Examining Current Laws And Regulations, Network For Public Health Law, American Society Of Law, Medicine & Ethics, Public Health Law Research Program Mar 2014

Agenda: Fracking, Water Quality And Public Health: Examining Current Laws And Regulations, Network For Public Health Law, American Society Of Law, Medicine & Ethics, Public Health Law Research Program

Fracking, Water Quality and Public Health: Examining Current Laws and Regulations (March 20)

Improved technology developments in directional drilling and hydraulic fracturing, more commonly known as "fracking," have resulted in an oil and gas production boom nationwide. Fracking involves pumping pressurized water, sand, and chemicals down wells to crack bedrock, freeing petroleum and natural gas. Wastewater discharges, hydraulic fracturing fluid releases, and other accidental spills pose potential water quality risks, sparking concern for public health.

This webinar will examine the laws and regulations governing water quality issues related to fracking, recent state court decisions affecting regulations, and implications for public health.


Slides: Best Management Practices For Oil And Gas Development And Comparative Water Quality Database Of Regulations Relating To Shale Oil And Gas, Matt Samelson, University Of Colorado Boulder. Getches-Wilkinson Center For Natural Resources, Energy, And The Environment. Intermountain Oil And Gas Bmp Project Mar 2014

Slides: Best Management Practices For Oil And Gas Development And Comparative Water Quality Database Of Regulations Relating To Shale Oil And Gas, Matt Samelson, University Of Colorado Boulder. Getches-Wilkinson Center For Natural Resources, Energy, And The Environment. Intermountain Oil And Gas Bmp Project

Fracking, Water Quality and Public Health: Examining Current Laws and Regulations (March 20)

Presenter: Matt Samelson, J.D., Attorney, Consultant for Intermountain Oil and Gas Best Management Practices (BMP) Project, Getches-Wilkinson Center for Natural Resources, Energy and the Environment, University of Colorado Law School

34 slides


Missing The Forest For The Trees: Gender Pay Discrimination In Academia, Melissa Hart Jan 2014

Missing The Forest For The Trees: Gender Pay Discrimination In Academia, Melissa Hart

Articles

Women in virtually every job category still make less than men. Academia is no exception. This Article will explore some of the structural explanations for this continued disparity and the continued resistance to seriously confronting those structural barriers to equality. Using the still-unfolding story of a charge of discrimination filed against a university, this Article examines the script that has become all-too-familiar in discussions about the gender pay gap, whether in academia or elsewhere. The basic storyline in pay discrimination litigation is this: Evidence is presented about the existence of a gap between men's earnings and women's earnings ...


A Diamond In The Rough: Trans-Substantivity Of The Federal Rules Of Civil Procedure And Its Detrimental Impact On Civil Rights, Suzette Malveaux Jan 2014

A Diamond In The Rough: Trans-Substantivity Of The Federal Rules Of Civil Procedure And Its Detrimental Impact On Civil Rights, Suzette Malveaux

Articles

No abstract provided.


Machine Learning And Law, Harry Surden Jan 2014

Machine Learning And Law, Harry Surden

Articles

This Article explores the application of machine learning techniques within the practice of law. Broadly speaking “machine learning” refers to computer algorithms that have the ability to “learn” or improve in performance over time on some task. In general, machine learning algorithms are designed to detect patterns in data and then apply these patterns going forward to new data in order to automate particular tasks. Outside of law, machine learning techniques have been successfully applied to automate tasks that were once thought to necessitate human intelligence — for example language translation, fraud-detection, driving automobiles, facial recognition, and data-mining. If performing well ...