Sentence examples for broader set of decisions from inspiring English sources

Exact(2)

Professor Chemerinsky, who is the dean of the law school at the University of California, Irvine, said it was necessary to look at a broader set of decisions to assess the Roberts court's commitment to free speech.

To help visualize this process, we explore the emerging linkages between low-lying lands affected by sea level rise (SLR) and weather related hazards, such as floods and landslides, and we proposed some urban typologies to assist the identification of risk areas that reflect the importance of the urban design as a part of a broader set of decisions.

Similar(58)

The HTA report then necessarily should speak to a broad set of decision criteria and second should not include a recommendation for action at the local or regional level.

We suggest, however, that decision-making autonomy, as measured in this study, refers to a broader set of daily decisions than those relating to household economy.

One example, Farmlogs, a Y Combinator alum that recently raised a $10 million Series B. The company includes data related to water for farms in its business intelligence software, but its software focuses on a broader set of farm decisions that include water use.

The most they can offer is an empirical platform on which to explore a broader set of issues and trade-offs as decision makers seek to maximize value for the beneficiaries of health services.

That charter would require directors to consider the interests of a broader set of corporate constituents employees, customers, shareholders, communities in making decisions.

An improved level of information quality, that considered a broader set of variables and their interactions, would allow decision-making to focus on manageable factors in support of land use allocation that minimises carbon emissions and maximises carbon uptake in support of climate change mitigation.

Overall, decision makers expected a broader set of evidence especially for new innovations like SMC.

The framework presented in this paper can be adapted to address a broader set of risk reduction strategies and is intended to assist decision makers for local, regional and system-wide risk management of rail hazardous materials transportation.

At the same time, these computational approaches should be translated into tools accessible by a broader set of users who are the main actors in the decision-making process of health policy, especially during an emergency like an influenza pandemic.

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