Dam removalA history of decision points

2013 ◽  
Author(s):  
Laura Wildman
Keyword(s):  
Dam Removal ◽  
Decision Points ◽  
History Of

scholarly journals HR Metrics and Talent Analytics

2017 ◽  
Author(s):  
Alexis A. Fink ◽  
Michael C. Sturman
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Human Resource ◽  
Investment Decisions ◽  
Research And Practice ◽  
Hr Practices ◽  
History Of Research ◽  
Decision Points ◽  
History Of ◽  
Current Practices

Taking advantage of the history of research quantifying the effects of human resource (HR) practices, leveraging current advances in information systems and opportunities presented by big data, HR metrics and talent analytics present a renewed opportunity to help drive effective HR practices. HR metrics are operational measures, addressing how efficient, effective, and impactful an organization’s HR practices are. In contrast, talent analytics focus on decision points, guiding investment decisions. The chapter provides an overview of the historic roots and current practices around HR metrics and talent analytics. Through this, we explore the role, benefits, and risks of benchmarking and utility analyses as two common approaches to setting HR metrics. We discuss how current advances in research and practice make the use of HR metrics and talent analytics a greater business necessity. We conclude the chapter with a discussion on fostering talent analytics within organizations.

Institutionalizing the option of dam removal: the New Hampshire initiative

2003 ◽  
Vol 48 (7) ◽  
pp. 9-16 ◽  
Author(s):  
S.D. Lindloff
Keyword(s):  
New Hampshire ◽  
Industrial Revolution ◽  
Task Force ◽  
Dam Removal ◽  
The State ◽  
State Agency ◽  
Safety Hazard ◽  
History Of ◽  
Northeastern State ◽  
Flow Through

For two years, the State of New Hampshire has worked to institutionalize the option of dam removal. The high gradient streams that flow through the granite hills and mountains of this small northeastern state provided ideal conditions for dam construction, particularly during AmericaÕs Industrial Revolution of the 1800s when mills were constructed throughout the area. With more than 4,800 dams in the stateÕs database, there are many opportunities for the removal of dams that no longer serve a useful purpose, have become a public safety hazard and impact the river environment. Efforts to facilitate removal of dams in New Hampshire include the formation of a River Restoration Task Force and the creation of a dam removal program within the state agency responsible for regulating dams. This has led to the removal of two dams in the past year, with approximately ten additional projects in various stages of planning. A history of this agency-led initiative, as well as a discussion of the programÕs strengths, challenges and goals for the future are presented.

Exploring Inductive Risk

2017 ◽  
Author(s):  
Kevin C. Elliott ◽  
Ted Richards
Keyword(s):  
Scientific Practice ◽  
Value Judgments ◽  
Fourth Section ◽  
Inductive Risk ◽  
The Third ◽  
Decision Points ◽  
Broad Array ◽  
History Of

The introductory chapter provides an overview of the book Exploring Inductive Risk. It introduces the concept of inductive risk, briefly traces the history of the argument from inductive risk, and sets out the book’s chapters in terms of four themes. The first part, “Weighing Inductive Risk,” illustrates the concept of inductive risk and the judgments involved in weighing different sorts of errors. The chapters in the second part, “Evading Inductive Risk,” examine proposals by critics who argue that the value judgments associated with inductive risk should be made by citizens and policymakers, not by scientists. The third section, “The Breadth of Inductive Risk,” illustrates the wide variety of decision points throughout scientific practice where considerations of inductive risk are relevant. The book’s fourth section, “Exploring the Limits of Inductive Risk,” considers whether it still makes sense to apply the label of inductive risk to such a broad array of phenomena.

scholarly journals How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Gerald W. Gates
Keyword(s):  
Administrative Data ◽  
Program Planning ◽  
Published Data ◽  
Administrative Records ◽  
Decision Points ◽  
Federal Statistical ◽  
History Of ◽  
Support Policy ◽  
Statistical Agencies ◽  
Privacy And Confidentiality

U.S. federal statistical agencies continually face challenges in obtaining and using administrative records and in providing useful analytic products to support policy analysis and program planning. At each of three decision points—obtaining the administrative data, integrating the data into statistical programs, and releasing useful data products—concerns over privacy and confidentiality determine to a great extent how effectively these data are used. Although there is a long history of relevant research on privacy attitudes and methodologies to protect conconfidentiality in published data, agency decisions to share or publish data are not necessarily informed by known risks. Additional research is proposed to help identify and manage these risks. The paper also proposes government actions to ensure that U.S. federal statistical agencies are meeting the nation's data needs through the appropriate application of survey and administrative data.

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