Presentation by Rose Baker and David Passmore at 2009 Pennsylvania Workforce Investment Board Symposium, University Park, Pennsylvania, June 9, 2009. You may download copies of these slides as an Adobe PDF at http://Baker-Passmore-Green.notlong.com.
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Presented by Ryan Watkins, Professor, George Washington University, rwatkins@gwu.edu
Presented at The University Council for Workforce and Human Resource Education Fall 2018 Webinar
Structural Model of Topics in Academy of Human Resource Development Journals,...Penn State University
< demonstrate text mining procedures for modeling topics evident in the universe of 1,905 peer-reviewed articles published between 1990 and 2015 in AHRD’s four refereed journals >
Presentation by David Passmore and Rose Baker to Committee on Social Justice at Good Shepherd Roman Catholic Church in Port Matilda, Pennsylvania on 20 October 2016.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
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Paper: https://eprint.iacr.org/2023/1886
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This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Sharing Science: Tools for Improving our Research, Teaching, and ImpactPenn State University
Presented by Ryan Watkins, Professor, George Washington University, rwatkins@gwu.edu
Presented at The University Council for Workforce and Human Resource Education Fall 2018 Webinar
Structural Model of Topics in Academy of Human Resource Development Journals,...Penn State University
< demonstrate text mining procedures for modeling topics evident in the universe of 1,905 peer-reviewed articles published between 1990 and 2015 in AHRD’s four refereed journals >
Presentation by David Passmore and Rose Baker to Committee on Social Justice at Good Shepherd Roman Catholic Church in Port Matilda, Pennsylvania on 20 October 2016.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
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👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
What Makes a Job Green?
1. What Makes a Job Green?
2009 Pennsylvania Workforce
Investment Board Symposium
June 9, 2009
Rose M. Baker & David L. Passmore
Penn State Workforce Education
& Development Initiative
2. Rose Baker
Assistant Professor & Director
Center for Regional Economic
& Workforce Analysis
David Passmore
Professor& Director
Penn State Institute for Research in
Training & Development
Penn State Workforce Education
&Development Initiative
3. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What we will do today…
4. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What makes a job green?
5. “This moment of peril
must be turned to one
of progress.”
Vision…
6. “It will be the policy of my
administration to reverse
our dependence on
foreign oil, while building
a new energy economy
that will create millions of
jobs.”
Vision…
8. “Revive the renewable
energy industry and
provide the capital over
the next three years to
eventually double
domestic renewable
energy capacity…
Legislation…
9. [and] undertake the
largest weatherization
program in history by
modernizing 75 percent of
federal building space and
more than one million
homes.”
Legislation…
10. 86% of energy used in U.S.
in 2007 is from petroleum,
natural gas, & coal
Dependence on fossil fuels
11. Nuclear, hydro, &
renewable sources
complete the U.S.
energy portfolio
Dependence on fossil fuels
12. Creates negative
externalities
Threatens national
security
Interferes with
climate system
Dependence on fossil fuels
13. • 611,000 jobs lost
between March & April
2009
• Unemployment rose
from 8.5% to 8.9%
• 5.7 million jobs lost
between December
2007 and April 2009
Recent labor market stresses
14. “It is all good news.”
—Roger Bezdek in report for
American Solar Energy Society
Hope…
15. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What makes a job green?
17. Types of definitions
• Persuasive—new conceptual
meaning to a familiar word
• Extensional—denotes all
instances of the concept
• Ostensive—provides an example
of the concept
• Intensional—rule–based list of
necessary & sufficient conditions
for sorting instances of a concept
18. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What makes a job green?
19. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
ind 3
ind 4
Input–output table
20. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2 interindustry
ind 3
transactions
ind 4
Production sector of economy
21. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
purchases of
producers
ind 2 ind 2 from ind 1
ind 3
ind 4
Production sector of economy
22. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
purchases of
producers
ind 3
ind 2
from ind 2;
or, ind 2
ind 3
produces
for ind 3
ind 4
Production sector of economy
23. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
All purchases
ind 2
of ind 1;
aka industry
ind 3
supply chain
ind 4
Production sector of economy
24. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1 ind 1
< personal consumption >
producers
ind <
2 government purchases > ind 2
< investment > ind 3
ind 3
< export >
ind 4 ind 4
Consumption sector of economy
25. production + consumption = total output
final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
ind 3
ind 4
Total output of economy
26. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1 3 10 25 4 10 62
producers
4 2 10 18 34 68
ind 2
ind 3 10 15 1 3 7 36
ind 4 23 2 0 4 45 74
Input–output table with hypothetical interindustry
transactions & delivery to final demand
27. final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
ind 1 < each industry, requires a
certain number of people to
ind 2create each dollar’s worth of
ind 2
total economic output >
ind 3
ind 3
ind 4
ind 4
Industry employment
28. final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
ind 1 < if it takes .001 workers to
create $1 of economic output,
ind 2
ind 2 then,
ind 3
ind 3
ind 4
ind 4
Industry employment
29. final total
ind 1 ind 2 ind 3 ind 4 demand output
< if it takes .001 workers to
create $1 of economic output,
ind 2 then, with $1 billion of total
industrial output, 1 million
ind 3 workers are required >
ind 4
Industry employment
30. final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
< changes in labor intensity
ind 2 or in total economic output
create changes in numbers
ind 3 & kinds of jobs >
ind 4
Industry employment
31. final total
ind 1 ind 2 ind 3 ind 4 demand output
< industries use different labor intensities >
ind 1
< industries use different occupations >
ind 2
ind 3
< occupational employment differs by industry >
ind 4
Occupational employment
32. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What makes a job green?
33. Jobs exist because goods & services
are produced & purchased
“Green” jobs exist because goods and services are
produced & purchased that convert,
distribute, or conserve energy.
The facts of economic life…
34. D outputs made by
industries
D inputs used by
industries
D labor intensities used
within industries
D occupational staffing
patterns used within
industries
New energy economy: D of amount & type
of resources used & products made
35. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
ind 3
ind 4
In context of input–output table
36. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
D in amounts of goods
ind 3 & services produced
ind 4
D outputs made by industries
37. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
D in types of goods &
ind 3 services produced
ind 4
D outputs made by industries
38. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
D in amounts &types
producers
ind 2
of goods & services
purchased as inputs to
ind 3 production
ind 4
D inputs used by industries
39. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
D in amounts of labor
ind 3 required to make output
ind 4
D labor intensities used within industries
40. purchasers final total
ind 1 ind 2 ind 3 ind 4 demand output
ind 1
producers
ind 2
D in types of labor
ind 3 required to make output
ind 4
D occupational staffing patterns
used within industries
41. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
What makes a job green?
42. What are the amounts
and types of workers
required now & in the
future for the new energy
economy?
One key element of information for
workforce development strategy
51. Context
Why a definition is
important
Economic framework for
a definition
Ways that jobs are green
Developing a workforce
to support the new
energy economy
Where we have been…
52. What Makes a Job Green?
2009 Pennsylvania Workforce
Investment Board Symposium
June 9, 2009
Rose M. Baker & David L. Passmore
Penn State Workforce Education
& Development Initiative
Editor's Notes
“This moment of peril must be turned to one of progress,” President Barack Obama said as he signed on January 26, 2009 his first two Presidential Memoranda aimed at putting the U.S. on the path to energy independence (The White House, 2009, ¶1). The President further said that, Over the last few days we’ve learned that Microsoft, Intel, United Airlines, Home Depot, Sprint Nextel, and Caterpillar are each cutting thousands of jobs. These are not just numbers on a page. As with the millions of jobs lost in 2008, these are working men and women whose families have been disrupted and whose dreams have been put on hold. (The White House, 2009, ¶8)We owe it to each of them and to every, single American to act with a sense of urgency and common purpose. We can’t afford distractions and we cannot afford delays. And that is why I look forward to signing an American Recovery and Reinvestment Plan that will put millions of Americans to work and lay the foundation for stable growth that our economy needs and that our people demand. (The White House, 2009, ¶9)At a time of such great challenge for America, no single issue is as fundamental to our future as energy....Embedded in American soil and the wind and the sun, we have the resources to change....It will be the policy of my administration to reverse our dependence on foreign oil, while building a new energy economy that will create millions of jobs. (The White House, 2009, ¶10, 12, 13)
“This moment of peril must be turned to one of progress,” President Barack Obama said as he signed on January 26, 2009 his first two Presidential Memoranda aimed at putting the U.S. on the path to energy independence (The White House, 2009, ¶1). The President further said that, Over the last few days we’ve learned that Microsoft, Intel, United Airlines, Home Depot, Sprint Nextel, and Caterpillar are each cutting thousands of jobs. These are not just numbers on a page. As with the millions of jobs lost in 2008, these are working men and women whose families have been disrupted and whose dreams have been put on hold. (The White House, 2009, ¶8)We owe it to each of them and to every, single American to act with a sense of urgency and common purpose. We can’t afford distractions and we cannot afford delays. And that is why I look forward to signing an American Recovery and Reinvestment Plan that will put millions of Americans to work and lay the foundation for stable growth that our economy needs and that our people demand. (The White House, 2009, ¶9)At a time of such great challenge for America, no single issue is as fundamental to our future as energy....Embedded in American soil and the wind and the sun, we have the resources to change....It will be the policy of my administration to reverse our dependence on foreign oil, while building a new energy economy that will create millions of jobs. (The White House, 2009, ¶10, 12, 13)
The stimulus for building a new energy economy is The American Recovery and Reinvestment Act of 2009 (Pub. L. No. 111–5, 2009), a federal public law passed by the 111th United States Congress. Based largely on broad proposals made by President Barack Obama, the Act is intended to provide a stimulus to the U.S. economy in the wake of the economic downturn brought about by the subprime mortgage crisis and the credit crunch that emerged from this crisis. The bill includes federal tax cuts, expansion of unemployment benefits and other social welfare provisions, and domestic spending in education, health care, and infrastructure, including the energy sector.
The stimulus for building a new energy economy is The American Recovery and Reinvestment Act of 2009 (Pub. L. No. 111–5, 2009), a federal public law passed by the 111th United States Congress. Based largely on broad proposals made by President Barack Obama, the Act is intended to provide a stimulus to the U.S. economy in the wake of the economic downturn brought about by the subprime mortgage crisis and the credit crunch that emerged from this crisis. The bill includes federal tax cuts, expansion of unemployment benefits and other social welfare provisions, and domestic spending in education, health care, and infrastructure, including the energy sector.
Investments of $43 billion and tax credits totalling $22 billion are targeted toward energy (“Where is your money going,” 2009, table & table footnote).
Investments of $43 billion and tax credits totalling $22 billion are targeted toward energy (“Where is your money going,” 2009, table & table footnote).
Investments of $43 billion and tax credits totalling $22 billion are targeted toward energy (“Where is your money going,” 2009, table & table footnote).
Externality—An externality is an effect of a purchase or use decision by one set of parties on others who did not have a choice and whose interests were not taken into account. an economic effect that results from an economic choice but is not reflected in market prices
According to the Bureau of Labor Statistics (2009), private sector employment declined between March and April 2009 by 611,000 jobs, and the percentage of the labor force that was unemployed rose from 8.5% to 8.9%. The U.S. economy lost 5.7 million jobs between the start of the recession in December 2007 and April 2009 (the longest U.S. recession since the 1930s) across nearly all major private–sector industries. According to a Voice of America report (Arcega, 2009), many of the unemployed are using their hiatus from paid employment to invest in education and training that they hope will prepare them for the green jobs that they believe will become available abundantly in the future. Hope has not faded. For many, hope is newly invested in green jobs.
The macroeconomic benefits of investment in new technologies, greater productivity, improvements in the U.S. balance of trade, and increased real disposable income across the nation. They also include the microeconomic benefits of lower costs of doing business and reduced household energy expenditures.These advantages are manifested in job growth, income growth, and of course, a cleaner environment.
Definitions come in a variety of flavors. Many definitions offered for the phrase, green jobs, are what analytic philosopher, Charles Stevenson (1938), probably would have classified as persuasive definitions—that is, definitions which “give a new conceptual meaning to a familiar word…with the conscious or unconscious purpose of changing, by this means, the direction of people’s interests” (p. 331). The result is a phrase that holds “vague conceptual meaning and rich emotive meaning” (Stevenson, 1938, p. 333). In this way, persuasive definitions receive high marks for marketing, but low marks for clarity. Deliberation should be moving beyond the need to market the new energy economy. The evidence already seems persuasive. Rather, more clarity about the nature and structure of the new energy economy—and the jobs it will require—is necessary to make progress.Some definitions of green jobs can be viewed as extensional (see Cruse, 2000)—that is, green jobs are defined by attempting to list all instances of jobs that seem to exist. Perhaps the “truth is the whole,” as Hegel (1807) suggested, but the essence of green jobs is difficult to apprehend after examining long lists of jobs that a committee denoted as green according to some unexplained or loosely defined rules. Although lists of jobs defined as green by some authority or group might illustrate or suggest generally the nature of green jobs, review of raw lists provides no systematic basis for divining a green job.Some definitions of green jobs are best described as ostensive—that is, green jobs are defined by presenting for review a selection of jobs that are considered to exemplify the entire class of green jobs. A phrase defined ostensively, however, does not convey explicitly the differentiating attributes of the entity being defined. Instead, penetrating the Aristotelean essence of the matter is left to the observer of the example, in the uncertain hope that some common meaning is communicated. When someone says, “Here, look, this is a green job,” we are left to discern the unique features that make that job green as well as to generalize this taxonomic knowledge to classify any other jobs as green or not green. An ostensive definition of the phrase, green job, often turns out to be indirect and obtuse.Without a doubt, seeing an example often conveys more meaning to some people than reading the words of a definition. However, as Wittgenstein (1953) wrote, The ostensive definition explains the use—the meaning—of the word when the overall role of the word in language is clear. Thus if I know that someone means to explain a colour–word to me, the ostensive definition “That is called ‘sepia’ ” will help me to understand the word.... One has already to know (or be able to do) something in order to be capable of asking a thing’s name. (p. 24)In this way, an ostensive definition of green jobs certainly is helpful, but not entirely sufficient, for policy analysis and development.What is needed to put a fine point on the meaning of green jobs is what logicians describe as an intensional definition, which provides the meaning of a term by specifying all the properties required to arrive at the definition. An intensional definition identifies all necessary and sufficient conditions for belonging to the set being defined (Garza–Cuaraon, 1991). An intensional definition of green jobs would connote the attributes that circumscribe instances of the “green jobs” concept and would provide a rule–based method for sorting instances of jobs into sets of jobs that are, at the highest level, green or not green. Biologists employ intensional definitions to define species by their genus (a broad category of a organism) and differentia (properties of the species that other members of the genus do not have). For example, California mussels are part of the genus, mytilus (medium-sized to large saltwater mussels, marine bivalve molluscs that are expolited as food and used in mariculture) with the differentia, californianus (found along the west coast of North America, and mainly in the intertidal zone off California). Mytiluscalifornianus—simply, a mussel (a general classification of a particular marine animal) found near California (a unique feature of this particular type of mussel). Extensional and ostensive definitions of the California mussel would be described as denotative definitions because they refer to particular instances of muscles (“Here are pictures of a large number of California mussels.” Or, “See this? It is california mussel.”). An ostensive definitions of the California mussel would be described as a connotative definition because it refers to the essence of this type of muscle by which all other mussels could be identified by applying taxonomic criteria as specifically California mussels rather than some other type of mussel, such as mytilusedulis, mytilustrossulus, or mytilusgalloprovincialis.Not only is a genus–differentia definition useful for taxonomic classification in science, but such a definition also is valuable in other realms. Borrowing, then, from the biological genus–differentia approach to creating definitions, a green job is, simply, a job (genus) that is green (differentia). A successful connotative, intensional definition of a green job would refer to the differentiating characteristics of the job, the genus, that are so clear that a green job (the genus modified by the differentia) can be no longer confused with a job of any other type. Perhaps this path for defining green jobs ostensively sounds trivial, obvious, and unnecessarily pedantic, but, as the old idiom suggests, “The devil is in the details.” And, defining “green” in the context of green jobs is not trivial, obvious, or academic. Persuasive, ostensive, and extensional definitions of green jobs currently in vogue plainly fail to provide any grist for the policy analysis and formulation mill. A rigorous connotative, intensional definition of green jobs definition would exhibit what philosophers of science describe as intersubjective verifiability. This is the capacity of a concept to be readily and accurately communicated between different individuals and to be reproduced under varying circumstances for the purposes of verification (Martin, 2000, p. 64). Intersubjective verifiability is the congruence that results when two independent observers can use the established criteria to classify a phenomenon in the same way. For instance, two observers, separately consulting guides describing the physical characteristics and behavior, identify a bird in the field as an instance of Passeriformes Tyrannidae, or, more colloquially, an Acadian Flycatcher. Or, two dermatologists in separate hospitals arrive at the same diagnosis of Crytococcusneoformens fungal infection after reviewing histologic findings from a liver transplant patient. Or, two mechanics conclude independently, “Yep, the fuel pump’s bad,” after inspecting an automobile. And, our ideal is that, two job analysts could conclude independently, “Yep, that’s a green job,” based on the their common application of intensional criteria. So, we advocate in this report the pursuit of an intensional, connotative definition of the phrase, green jobs, to arrive at a working definition for use in planning and evaluating human capital needs in a new energy economy. The quotation by Prager at the beginning of this section cautions that “The important things in life cannot be precisely defined or measured.” Yet, Lord Kelvin asserts that “To measure is to know.”