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Proposal to Deficit SuperCommitte on Reducing Federal Executive Branch’s Costs

Sunday, September 18th, 2011
I just posted, at http://deficitreduction.senate.gov/public/index.cfm/contact, the following proposal on reducing the cost of the Federal Executive Branch’s operations

I have worked for the Federal Government for 35 year, 10 years as an Army Officer, 10 Years in Civil Service, and 15 years as a government management consultant.  I have worked as a manager or analyst in all of these roles.


From my experience, I submit that the authority (by law) and ability (by regulation) to quickly and simply reduce the cost of the US Federal Executive Branch’s (FEB) annual operations and development of new capabilities by more than 50% annually, while increasing the quality and timeliness of its performance, is already present in the FEB.

* Note that “resolving complexity and diversity in science and society into a system of controlled order” is the definition of “management” from the 1963 “Encyclopedia of Management” (Heyel, Editor).  Or more simply – “management is the activity of continuously resolving natural disorder into intended order”.

* Also note that a useful definition for “enterprise” is: “an endeavor, such as an organization, and the collection of its value-chain participants or stakeholders”.  These value-chain participants are typically customers, suppliers, authorities, subordinates, outsources/partners, and the public.  So an enterprise is an endeavor within its broader context or situation.

* Another term relevant to this suggestion is the term “architecture”, which is: “the parts of a subject, the parts’ relationships to each other, and the attributes of the parts and relationships”  The parts are the “nouns” about a subject, the relationships are “verbs” about the subject’s parts, and the attributes are adjectives for nouns and adverbs for verbs.

* So, an “enterprise architecture” is “the parts, part relationships, and part and relationship attributes about an endeavor and its value-chain participants or stakeholders.”

* An “enterprise architecture” is the primary mechanism of “enterprise management”, because it identifies and keeps track of all of the current and intended parts of an enterprise, their relationships/configuration, and their attributes/details.

But the primary resource of the US Nation as an enterprise, under the responsibility of the US FEB and an enterprise, is not being effectively, efficiently, or responsively “managed”.  That primary resource is “Information”, and the FEB has specific responsibilities for Federal Information Resource Management (IRM) under the 1980 and 1995 Paperwork Reduction Acts (PRA).

The FEB also has responsibilities for using that information resource to improve the effectiveness, efficiency, security, productivity, capability, and performance of the FEB and the Nation (e.g., Internal Controls, Government Performance and Results Acts, Government Paperwork Elimination Act, Clinger-Cohen Act).

But if the information resource is not collected, organized, shared, maintained, or managed, then the benefits of the huge investments in creating that information (e.g. research, development, collection, analysis) are wasted – there is no true “management” of any endeavor within its broader enterprise without management of the full enterprise’s information.  Without IRM, there is no enterprise management – there is “enterprise muddle”.

Within the FEB, there is no collected inventory of the ever-present and evolving “disordered” information, nor is there an adaptive intended “ordered” collection of information, nor is there a comprehensive, cohesive, coherent, and consistent method of “resolving” information disorder into information order.  So the US FEB costs two to three times more per year to develop its capabilities and operate them than it should, for what it produces as goods, services, information products, benefits, entitlements, and other outputs and outcomes.

A primary mechanism to reduce the annual cost of the FEB and improve its quality and responsiveness, is to immediately and strongly enforce the IRM instructions in OMB Circulars A-123 (Federal Managers’ Responsibility for Internal Controls) and OMB Circulars A-130 (Management of Federal Information Resources).  Neither of these Circulars is broadly applied nor enforced in the FEB, from the White House downward, nor out to those organizations outside the FEB who receive Federal funding.

Responsible parties within the White House EOP have not established the necessary guidance and assessment criteria for effective and efficient IRM. Thus, there is no path by which the FEB may become a most effective and efficient organization (MEEO).  The primary operational component of the IRM mechanism is now called the Federal Enterprise Architecture (FEA), evolving since 1998 from the US CIO Council and then, since 2002, the OMB FEA Program Management Office.  Unfortunately, the original FEA guidance, and the newly evolving guidance, do not provide a mechanism for IRM for FEB missions, only for tying IT investment management to the FEB missions.  To be specific, the FEB is providing guidance on how to buy and control information technology, not on how to manage the FEB and thus Nation’s public-domain Information Resources.

To achieve MEEO for the FEB, through strong FEB IRM that benefits the Government and the Nation, the FEB needs to include the following IRM parts in integrated updates to its Circular A-123, Circular A-130, and OMB FEA Guidance:

1. Within six months, build and deploy a FEB-wide standard process for IRM by applying terminology management techniques in the sequence below.  FEB management depends on FEB IRM, and FEB IRM depends on FEB terminology management.

* Continuously discover and identify all FEB organization and FEB-relevant information content stores (structured, semi-structured, and unstructured).  This would be performed with appropriate security and privacy constraints increasingly supported by the FEA mechanism, which can increasingly provide role-based access control (RBAC), and attribute-based access control (ABAC) knowledge to enable key to lock control over who, with a RBAC/ABAC key, can see and do what with resources having a RBAC/ABAC lock.

* Continuously index all content stores

* Extract out the terms of each content item (e.g., the data in a form’s fields, a form’s design, a document, the properties of the document, a diagram, the properties of the diagram, a database row, the database’s design, an email, the properties of the email)

* Identify each term as a noun, verb, adjective or adverb within the content’s structure (e.g., a noun within a sentence phrase)

* Build a “Term Inventory” in a single distributed/virtual repository for the FEB enterprise, uniquely identifying each term with a “universally-unique ID” (UUID) (a standard IT method)

* Identify within a single FEB distributed/virtual repository, the direct associations between terms (e.g., noun-verb-noun, subject-predicate_verb_predicate-object, table-column-row, class-attribute-instance)

* Build a FEB “Term Dictionary” for the Feb enterprise, enabling capture of all definitions used for a term, and their sources.

* Build a FEB “Concept Inventory” by linking models of “direct associations” within content (e.g.,within a phrase or clause) out to the broader-context (e.g., a sentence, paragraph,section, document, folder, library)

** Define, at all levels of endeavor, all FEB “concepts of operations” or CONOPS models (e.g., using simple concept mapping tools)

** Define subsequent endeavor “process models” (using process modeling standards, tools, and a single distributedFEB process model repository)

** Define subsequent “product models” within the process models and process repository

** Define subsequent “product metadata models” within the process repository (i.e., product descriptive information) as standard conceptual data models – CDM, logical data models – LDM, physical data models – PDM, and during later database and software design, physical database schema – DBSchema.

** Define subsequent “process metadata models” within the process repository (i.e., as CDM, LDM, and PDM of process, and later, the DBSchema of databases and software)

** Define subsequent “knowledge models” (as ‘ontologies” or “architecture metamodels” within a single “distributed” FEB knowledge/architecture/ontology repository

** Implement “knowledge-bases” from ontologies, or the equivalent “architectures” from architecture metamodels

** Define subsequent “value-chains” (and thus the collective “value-lattice”) of the endeavor (as “axiologies”)

** Implement “value-chain processes” as the broader “enterprise” of the endeavor.

* Build a FEB “Taxonomy” of terms categorized into broader to narrower meaning (i.e., a class hierarchy having attribute inheritance), as a “controlled vocabulary” for the FEB endeavor and broader FEB enterprise

* Build a FEB “Thesaurus” of terms, displayed using the Taxonomy, showing synonyms (e.g., equivalent, acronym, alias, misspellings, variant spellings) and variants, as the mechanism for jargon and language translation across elements of the FEB enterprise, and identifying preferred FEB terms for vocabulary standardization.

2. Within one year of defining the above IRM process, implement it across all operating activities funded by the FEB.

3. Annually validate compliance with Circular A-123, Circular A-130, and OMB FEA/IRM before issuing each Agency’s budget.

The emphasis on having a single FEB repository in the process above, and its physical and virtual distribution, is because the current approach of letting each FEB activity operate with autonomy in its management of its portion of Federal and National information resources, has led to the current crisis in government costs, effectiveness, and responsiveness, and has directly contributed to the government’s past, current, and imminent economic, social, and defense challenges.

 

POLITICO Forums:Ideas: Getting to Good, Fast, and Less Expensive Government (GFLEG) – POLITICO.com

Monday, September 5th, 2011

POLITICO Forums:Ideas: Getting to Good, Fast, and Less Expensive Government (GFLEG) – POLITICO.com.

 

Shifting My Focus Outward

Tuesday, May 12th, 2009

I have decided to shift my focus outward a bit, looking at all of the diverse things I’ve been pursuing over the past three decades in a new light.

I now see that all of my management and technology efforts, and my physical science, social science, management, and technology education are all about helping people, as individuals, in groups, in organizations, or in combinations of these, to communicate more effectively and efficiently, and thus to be able to cooperate, and interoperate, with greater ease.

To facilitate that, I’ve developed the following mission and goals:

Mission:
Establish endeavor networked knowledge organization system (ENKOS) for Concurrent Management of:

  • Operations Life Cycle for Appropriate Operational Transparency, Accountability, and Discipline;
  • Performance;
  • Security Architecture;
  • Enterprise Architectures;
  • Green Scorecard Efforts for Federal Agency Executives.

Goals:

  1. Implement ENKOS for System/Program Architectures
  2. Implement ENKOS for Business Function/Portfolio/Segment Architectures
  3. Implement ENKOS for Government, Commercial, and Non-Profit Organizations’ Enterprise IT Architectures
  4. Implement ENKOS for Organization Concurrent Knowledge-based Operations
  5. Implement ENKOS for Value-Chain Concurrent Knowledge-based Operations

For 33 years I have worked from a “whole enterprise” perspective of management science, information science, social science, physical science, and technology. See http://gem-ema.one-world-is.org/.

I focus on solutions for the unmet needs of organizations, groups, and individuals. In doing this, I apply science and technology to social needs, building innovative and original enterprise management (EM) capabilities using enterprise management architecture (EMA) built using terminology management techiques.

The Terminology-driven EMA enables progressively automated interoperability across the meaning, intention, data, process, and service levels, supporting all aspects of IT integration, interoperability, unification, and unified-view federated operations.A socio-technical focus enables me to operate “out of the box”.

My non-profit management-education and research organization enables organizations and groups of organizations, and the individuals and teams within them, to gain new capabilities in secure and shared situational awareness and distributed co-operation.

My organization is currently running in the “seed money” and “startup” phases, and is seeking donations, grants, and contracts to pursue the above goals in supporting individuals, groups, and government, commercial, and non-profit organizations.

Services: Terminology Development and Management (TDM) to build ENKOS with integrated:

  • dictionary,
  • concept models: Concept maps, DLG/triples, CONOPS, OV2/etc., conceptual data model, logical data model (ERD), Domain Ontologies and KB (e.g., Architecture), Unifying Ontology and KB (e.g., Enterprise Management Architecture – EMA), Axiology and Value-Chains (EMA)
  • taxonomy
  • thesaurus (i.e., jargon and language translators)
 

Meanings of “Lattice” and “Framework” in relation to General Endeavor Management (GEM).

Monday, February 23rd, 2009

The underlying General Endeavor Management (GEM) model is a “lattice” or architecture, that represents the structured and evolving knowledge within and around an endeavor. By following the GEM approach, those persons and groups participating in an endeavor gain appropriate, increased, evolving, and dynamic “awareness” of their endeavor and its environment, extending outward as far as others have modeled tehir own GEM lattices.

See the lists below. The GEM lattice consists of seven types of relationships between seven types of fundamental, or primitive, subjects relevant to the endeavor, with seven types of “life cycle” time relationships within a “requirement”, and seven types of participant “roles” in any process (as a time-relationship). This 7x7x7x7, or “7Cube” lattice, called an “endeavor management architecture” (EMA), provides an “exactly solvable” model of a viewpoint, and thus a consistently-reusable model, representing a discrete subgroup of records about the continuum of human knowledge seen from the viewpoint of a single endeavor.

Subject Relation Types
A. Equivalence
B. Categorization
C. Containment
D. Sequence
E. Change
F. Variance
G. Description

Subject Reference Catalogs
B.I. Location
B.II. Organization
B.III. Organization Unit
B.IV. Function (= Operation Capability)
B.V. Process
B.VI. Resource
B.VII. Capability Requirement by Organization Unit

Required Capability Life Cycle State
B.VII.1. Concept
B.VII.2. Request
B.VII.3. Authorize/Allocate
B.VII.4. Procure/Develop
B.VII.5. Deploy
B.VII.6. Operate/Maintain
B.VII.7. Assess/Improve/Dispose

Subject Value-Chain (Sequence Relation) Roles
D.1. Customer
D.2. Supplier
D.3. Authority
D.4. Partner
D.5. Internal
D.6. Outsource
D.7. Public

To those who consider building an “exactly solvable” model of human-knowledge an impossible task, consider the following – Even though the “universe” is infinite and expanding, science has now proven that it is not “random”, but is simultaneously “chaotic” and “orderly” moving between the two states in a continuous flow, and that chaos is only an extremely complex order, currently beyond our ability to model and thus understand, measure, and manage. By identifying the underlying “patterns” of order that repeat at all scales of the universe, one can simplify the complexity. This is what is done by humans through their “terminology” (conveyance of meaning), “architecture” (representation of viewpoint, their “ontology”), “science” (consistently-reusable knowledge), and “engineering” (specification for precision and reuse). GEM is a repeating pattern of recorded-knowledge. There is much knowledge that is not recorded in a sharable media, but by using the GEM pattern when considering this non-recorded knowledge, one gains a structure by which this non-recorded knowledge can be subsequently recorded in an orderly form, and then appropriately shared and interconnected with other endeavors’ GEM 7Cube representations.

Every endeavor that builds an “enterprise architecture” is building a simplifying endeavor knowledge-model, or knowledge-lattice. Most enterprise architecture efforts build incomplete knowledge-lattices because they only consider a portion of the overall endeavor knowledge that must be identified and linked together, i.e., only a small portion of the GEM 7Cube lattice. OMB FEA, DoDAF, TOGAF, Zachman, MODAF/NAF, and ArchiMate EA “Framework” approaches result in incomplete endeavor knowledge-lattices. A Framework approach to EA only describes or specifies the “outputs” of a knowledge-modeling effort, showing only a very narrow “closed world” view, and not the process to be followed, the underlying data structure to give coherency and consistency to the process and outputs, or specifications of technology to support the process, data structure, and output generation. In simple terms, a Framework roughly and partially describes the “destination” of a modeling effort, but gives no information on how to get to the destination. Thus, a Framework approach to EA results in inconsistent efforts and broadly incoherent outputs and results for those seeking to model their endeavor’s knowledge-lattice. Diverse Framework-based EA approaches cannot be integrated without first giving them a common “integrating foundation” or “backplane”. A GEM-based EMA provides this coherent and consistent integrating foundation.

To improve on less complete and useful EA efforts, and to integrate and then unify them, a GEM-based EMA follows a single consistent and tailorable modeling process, and uses a single consistent and extendable data structure, and can thus provide a single coherent and consistent base of knowledge from which to generate fully integrated output to meet the requirements of any “Framework”. Following GEM to build an EMA results in a full endeavor knowledge-lattice that encompasses all physical and conceptual aspects (i.e., matter, energy, space, time, and intelligence) of the “recorded” endeavor. An EMA knowledge-lattice provides a “primitive cell” that can be used to consistently connect to other endeavor knowledge-lattices, thus providing the means to coherently “tile” various endeavors together within their shared environment.

The connections or links between various endeavor EMA knowledge-lattices can extend outward to encompass all endeavors that are sequentially “upstream” and “downstream” from each single endeavor, comparable to the inputs, controls, outputs, and mechanisms of a single “process model” for the whole endeavor. This whole-endeavor knowledge-lattice thus provides all contributing specified “value-streams” for every endeavor internal activity, and a specified “value-chain” for every endeavor interaction with other endeavors and its operating environment, and every “value-lattice” that is discovered in exploring and identifying links extending outward from each value-stream and value-lattice. This connected-tiling of distinct endeavor knowledge-lattices extends outward to encompass all recorded human knowledge into a single unified “value and knowledge-lattice”.

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References:

Wikipedia Dictionary
Lattice (group)
In mathematics, especially in geometry and group theory, a lattice in real vector space Rn is a discrete subgroup of Rn which spans the Rn. Every lattice in Rn can be generated from a basis for the vector space by forming all linear combinations with integral coefficients. A lattice may be viewed as a regular tiling of a space by a primitive cell.

Basis (linear algebra)
Basis vector redirects here. For basis vector in the context of crystals, see crystal structure.
In
linear algebra, a basis is a set of vectors that, in a linear combination, can represent every vector in a given vector space, and such that no element of the set can be represented as a linear combination of the others. In other words, a basis is a linearly independent spanning set.

Linear span
In the mathematical subfield of linear algebra, the linear span, also called the linear hull, of a set of vectors in a vector space is the intersection of all subspaces containing that set. The linear span of a set of vectors is therefore a vector space.

Primitive cell
In geometry, solid state physics and mineralogy, particularly in describing crystal structure, a primitive cell, is a minimum cell corresponding to a single lattice point of a structure with translational symmetry in 2D, 3D, or other dimensions. A lattice can be characterized by the geometry of its primitive cell.

Lattice model (physics)
For other meanings, see lattice model (disambiguation)
In physics, a lattice model is a physical model that is defined on a lattice, as opposed to the continuum of space or spacetime. Lattice models originally occurred in the context of condensed matter physics, where the atoms of a crystal automatically form a lattice. Currently, lattice models are quite popular in theoretical physics, for many reasons. Some models are exactly solvable, and thus offer insight into physics beyond what can be learned from perturbation theory. Lattice models are also ideal for study by the methods of computational physics, as the discretization of any continuum model automatically turns it into a lattice model.

Framework
A framework is a basic conceptual structure used to solve a complex issue. This very broad definition has allowed the term to be used as a buzzword, especially in a software context.

Collins Dictionary
lattice [lat-iss]
Noun
1. Also called: (latticework) a framework of strips of wood or metal interlaced in a diagonal pattern
2. a gate, screen, or fence formed of such a framework
3. an array of atoms, ions, or molecules in a crystal or an array of points indicating their positions in space

American Heritage Dictionary
lat·tice
n.
1.
a. An open framework made of strips of metal, wood, or similar material overlapped or overlaid in a regular, usually crisscross pattern.
b. A structure, such as a window, screen, or trellis, made of or containing such a framework.
2. Something, such as a decorative motif or heraldic bearing, that resembles an open, patterned framework.
3. Physics
a. A regular, periodic configuration of points, particles, or objects throughout an area or a space, especially the arrangement of ions or molecules in a crystalline solid.
b. The spatial arrangement of fissionable and nonfissionable materials in a nuclear reactor.

tr.v. lat·ticed, lat·tic·ing, lat·tic·es
To construct or furnish with a lattice or latticework.

Webster’s Dictionary
Framework
(n.) Work done in, or by means of, a frame or loom. (n.) The work of framing, or the completed work; the frame or constructional part of anything; as, the framework of society.

FOLDOC Software Dictionary
In object-oriented systems, a set of classes that embodies an abstract design for solutions to a number of related problems.(1995-01-30)