Search Results
Use the filters on the left-hand side of this screen to refine the results further by topic or document type.

88 FR 55431

NOAA proposed protective regulations for the Banggai cardinalfish under ESA §9.

88 FR 54548

FWS proposed to remove the Apache trout from the Federal List of Endangered and Threatened Wildlife due to recovery.

88 FR 54263

FWS proposed to designate approximately 1,636.9 acres in Otero County, New Mexico, as critical habitat for the Sacramento Mountains checkerspot butterfly under the ESA.

88 FR 54026

NMFS designated 28 specific occupied areas as critical habitat for five threatened Caribbean coral species under the ESA.

88 FR 51309

EPA announced the availability of and seeks comment on the document entitled “White Paper: Quantitative Human Health Approach to be Applied in the Risk Evaluation for Asbestos Part 2—Supplemental Evaluation including Legacy Uses and Associated Disposals of Asbestos” and related charge questions.

88 FR 51672

DOD, the General Services Administration, and NASA proposed to amend the Federal Acquisition Regulation to restructure and update the regulations to focus on current environmental and sustainability matters and to implement a requirement for agencies to procure sustainable products and services to the maximum extent practicable.

88 FR 50912

The Office of Management and Budget seeks comment on proposed guidance for assessing changes in environmental and ecosystem services in benefit-cost analysis.

Making Participation in Algorithm-Assisted Decisionmaking in Climate Investments More Accessible and Equitable

In How Algorithm-Assisted Decisionmaking Is Influencing Environmental Law and Climate Adaptation, Ziaja provides a useful framework to analyze whether an algorithm-assisted decisionmaking (AADM) tool and its design process is procedurally equitable. Ziaja’s framework contains several different questions advocacy groups can use to analyze the AADM tools that are increasingly used for environmental resource governance, such as the INFORM and RESOLVE algorithms discussed in the article, which guide the allocation and distribution of water and energy resources.

Learning to See Through the Black Box: Develop X-Ray Vision Through Algorithmic Intuition

Environmental, natural resource, and energy planning will continue to rely on increasingly complex algorithms. Are these processes then also doomed to be inaccessible to key stakeholders? Hopefully not. There are multiple steps to ensuring process and participatory equity. There is ease of access to the process, access to necessary information, and then there is the matter of having the right information to be able to meaningfully impact outcomes of algorithm-assisted decisionmaking processes.

How Algorithm-Assisted Decisionmaking is Influencing Environmental Law and Climate Adaptation

Agencies responsible for water and energy systems increasingly rely on algorithm-assisted decisionmaking to regulate these systems and shepherd them through climate adaptation. Legal scholars, attorneys, and environmental equity advocates should care about this fundamental change in governance for three reasons. First, climate adaptation depends on these tools. Second, algorithmic tools are not policy-neutral; rather they embed value-laden assumptions and biases. And third, the “rules” of this new forum impede equity and democratic participation, without deliberate countermeasures.