Collaborative Expedition Workshop

1
Collaborative Expedition Workshop 35Design
Workshop to Frame National Dialogue on
Intelligent Information Use in Manufacturing and
Implications for e-Government

• September 14, 2004
• National Science Foundation
• Room 555, Stafford II
• Ballston, VA

2
Introduction

• The Collaborative Expedition Workshops (CEW)
  serve individuals and policy-makers from all
  sectors government, business, and non-government
  organizations to practice an emerging societal
  form that advances realization of the
  citizen-centric government goal of the
  President's Management Agenda.
• Each workshop organizes participation around a
  common purpose, larger than any institution,
  including government. By learning how to
  appreciate multiple perspectives around the
  potentials and realities of this larger
  "purpose", subsequent actions of individuals
  representing many forms of expertise, can be
  expressed more effectively in their respective
  settings.
• The monthly workshops seek to advance the quality
  of citizen-government dialogue and collaborations
  at the crossroads of intergovernmental
  initiatives, Communities of Practice, Federal IT
  research and IT user agencies in order to advance
  collaborative innovations in government and
  community services such as emergency
  preparedness, environmental monitoring,
  healthcare and law enforcement.

3
Introduction

• A key finding of last year, was the need to apply
  emerging technologies (web services, grid
  computing, and semantic web) to tune up the
  innovation pipeline with better linkages among
  business incubators (state economic development
  programs), innovation diffusion networks (SBIR,
  angel investors, etc.) and business intelligence
  centers with quality information about
  e-government and e-commerce gaps.
• Many of the agile business components surfacing
  in the small business innovation world are not
  easily discovered by e-government managers,
  resulting in lost or delayed opportunities for
  both parties.
• To address this potential, a quarterly Emerging
  Components Conference Series was this year. Four
  national dialogue conferences have been held thus
  far two at the White House Conference Center,
  one at the Washington DC Convention Center and
  one at MITRE. For more information see
  http//componenttechnology.org.

4
Introduction

• Workshop Sponsors
• The General Services Administration's Office of
  Intergovernmental Solutions.
• Architecture and Infrastructure Committee of the
  Federal CIO Council.
• National Coordination Office of the Interagency
  Committee on IT RD (Social, Economic and
  Workforce Implications of IT and IT Workforce
  Development (SEW) Coordinating Group).
• All value this "frontier outpost" to open up
  quality conversations, augmented by information
  technology, to leverage the collaborative
  capacity of united, but diverse sectors of
  society, seeking to discover, frame, and act on
  national potentials.

5
Introduction

• Past Workshop Archives, Collaborative Pilots, and
  Related Resources
• http//ua-exp.gov
• http//colab.cim3.net
• http//web-services.gov
• http//componenttechnology.org
• http//www.gsa.gov/intergov
• http//www.itrd.gov

6
Introduction

• Upcoming Events
• September, 20-22, 2004, Enterprise Architecture
  Conference, September 21, 215-330 p.m., Session
  3-5 Best Practices for Adopting Service-Oriented
  Architectures.
• October 19, 2004, Collaborative
  Expedition-Emerging Technology Workshop 36 at
  the NSF. Evolving a Multi-Stakeholder Process for
  Identifying Emerging Technology Using Ontology
  and Taxonomy Best Practices Introduction to
  Tiger Teams and Sprints.
• October 25, 2004, Fifth Emerging Technology
  Components Conference, Hosted at MITRE.
• See Componenttechnology.Org for details.
• November 16, 2004, Collaborative
  Expedition-Emerging Technology Workshop 37 at
  the NSF.

7
Introduction

• To help our Enterprise Architecture, Emerging
  Technology, and Federal Networking and
  Information Technology Research Development
  (NITRD) communities understand the broad
  implications of Intelligent Information Use in
  Manufacturing
• What lessons from the manufacturing sector offer
  valuable context for intergovernmental agreements
  around knowledge sharing and enterprise
  innovations?
• What is unfolding at the frontier of this
  important Information Space today?
• What are the strategic priorities and
  relationships that can frame the planning for
  national dialogue around this strategic
  opportunity?
• Who needs to be included in this dialogue?
• What are the implications for Intelligent
  Information Use in Manufacturing, in light of the
  global build-out of cyber-infrastructure?

8
Introduction

• Continued
• What environmental, trade, and corporate (both
  tangible and intangible assets) governance
  mechanisms are inextricably linked to this global
  connectedness?
• Will automated integration be achieved as trusted
  relationships mature?
• What are the implications and challenges likely
  to arise for US industry (regulated and
  non-regulated), financial institutions,
  shareholders, state economic development
  programs, and global intermediaries?
• How can we anticipate the realistic scenarios
  needed to form sound alliances and manage risk?

9
Introduction

• Continued
• How can Intelligent Information Use in
  Manufacturing contribute to the triple bottom
  line - Environment, Social and Economic aspects
  of corporate performance?
• Will business incubators (state economic
  development programs) and innovation diffusion
  networks (SBIR, seed investment, angel investors,
  etc.) have a role as frontier outposts for
  Intelligent Information Use in Manufacturing?
• Will frontier outposts for Intelligent
  Information Use in Manufacturing be the first
  adopters of open, semantic technologies (like
  ontological standards or semantic web-services)
  that "distill" and "apply" the smart-data,
  -information and -knowledge needed by both people
  and machines to solve complex problems within
  their work environments?
• How can the relationships, business processes,
  and tools needed by diverse people to augment
  their "collective intelligence" around
  manufacturing be designed to support and not
  hobble, people's natural forms of expertise?

10
Introduction

• Semantics for Manufacturing
• Manufacturing paradigms have changed. Now, the
  model is to design where the knowledge is,
  manufacture where labor and other factors are
  most economical and compete in global markets. A
  key theme is the role of knowledge-based
  technologies in smart products and processes.
• According to Craig Schlenoff of NIST (National
  Institute of Standards and Technology), the
  evolution toward smart products and processes
  starts with common models of data, then advances
  to explicit, formal semantics (dealing with the
  relationships rather than just the terminology),
  to self-describing systems, and eventually to
  self-integrating systems (see next slide figure).
• The goal is to create autonomic and autonomous
  systems that know, learn and can reason as people
  do and can self-evolve. Currently, the aims of
  advanced manufacturing studies are to develop
  methodologies and approaches to machine learning
  and rational theory construction in every area
  well practiced by humans.

Source Mills Davis, TopQuadrant, Inc.,
Semantics for Manufacturing (pages 18-19) in
Next-Wave Publishing, Part 3 Revolutions in
Content, Seybold Reports, Vol. 3, No. 23 March
15, 2004. Also Invited Speaker at the Second
Annual Semantic Technologies for E-Government
Conference, September 8-9, 2004, The MITRE
Corporation, McLean, VA.
11
Introduction
Figure 13 Systems That Know, Learn and Evolve.
This diagram depicts stages in the evolution of
intelligent products and processes.
12
Introduction
http//colab.cim3.net/wiki/ 
13
Agenda

• 830 a.m. - Check-in, Box Lunch Order
  (8.00/person) and Coffee
• 900 a.m. - Welcome and Introduction
• Susan Turnbull, GSA, Emerging Technology
  Subcommittee, Brand Niemann, EPA, Emerging
  Technology Subcommittee and Semantic
  Interoperability CoP, Knowledge Management
  Subcommittee, Steve Ray, NIST, Peter Yim, CIM
  Engineering, Inc., Suzi Iacono, NSF, and George
  Hazelrigg, NSF
• 915 a.m. - Intelligent Information Use in
  Manufacturing - Some Government Perspectives
• Steve Ray, Chief, Manufacturing Systems
  Integration Division, National Institute of
  Standards and Technology, Intelligent Information
  Use in Manufacturing (NIST)
• George Hazelrigg, Program Director for
  Manufacturing Machines and Equipment, Division of
  Design, Manufacture, and Industrial Innovation
  NSF, Manufacturing Research Supported by the
  National Science Foundation
• 1015 a.m. - BREAK

14
Agenda

• 1030 a.m.- Intelligent Information Use in
  Manufacturing - Industry Perspectives
• Leo Reddy, CEO and Founder, National Council for
  Advanced Manufacturing
• Alexander Morgan, Principal Research Scientist,
  Manufacturing Systems Research Laboratory,
  General Motors
• Adrian Walker, CTO, Reengineering, LLC, Semantics
  and the Web e-Government Implications of Some
  Emerging Technology Beyond W3C
• 1200-noon - Networking Lunch
• 100 p.m.- Intelligent Information Use in
  Manufacturing - Academic Perspectives
• Sk Gupta, Dept. of Mechanical Engineering,
  University of Maryland, Improving Product
  Realization Through Intelligent Information
  Management
• Zhi Long Chen, R H Smith School of Business,
  University of Maryland, Information Technology
  Information Sharing in Supply Chains
• Evren Sirin James Hendler, University of
  Maryland, Semantic Web and Web Services
• 200 p.m. - BREAK

15
Agenda

• 230 p.m. - Panel Session addressing some key
  questions
• What are the Potentials and Realities for
  National Dialogue Around Intelligent Information
  Use in Manufacturing?
• What are the Strategic Priorities and
  Relationships that We Can Build Upon?
• Commitment to Action and Reflection Next Steps
  Toward National Dialogue
• 345 p.m. - Reflections from workshop presenters
  and participants
• What are the principal findings from the dialogue
  around strategic priorities and relationships?
• How has this "larger landscape" relative to
  Intelligent Information Use in Manufacturing
  influenced your perspective on actions that could
  be taken toward this purpose as a strategic
  leader in your setting?
• 415 p.m. - ADJOURN

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Some Questions Face-to-Face Virtual Workshops

• 1. What are the Potentials and Realities for
  National Dialogue Around Intelligent
  Manufacturing?
• a. What is the future of manufacturing for the
  US?
• b. What is the value of a strong manufacturing
  sector to the economy of the nation?
• c. Eventually when efficiency and productivity
  catches up, the total size of the workforce that
  needs to be involved in manufacturing (globally)
  will come down (like what has happened in
  agriculture)
• d. What are the challenges arising for US
  industry (regulated and non-regulated), financial
  institutions, shareholders, state economic
  development programs, and global intermediaries?

17
Some Questions Face-to-Face Virtual Workshops

• 1. What are the Potentials and Realities for
  National Dialogue Around Intelligent
  Manufacturing? (continued)
• e. What are the implications of "outsourcing"
  production, then pilot production, then
  engineering, then design and eventually RD?
• f. How could the nation capture and retain more
  benefits or earlier benefits from manufacturing
  research?
• g. What would be a good strategy when facing
  globalization? What are the implications for
  Intelligent Information Use in Manufacturing, in
  light of the global build-out of
  cyber-infrastructure?
• h. What environmental, trade, and corporate (both
  tangible and intangible assets) governance
  mechanisms are inextricably linked to our growing
  global connectedness?

18
Some Questions Face-to-Face Virtual Workshops

• 2. What are the strategic priorities and
  relationships that could frame planning for
  national dialogue around this strategic
  opportunity? Who needs to be included in this
  dialogue?
• a. What lessons from the manufacturing sector
  offer valuable context for intergovernmental
  agreements around knowledge-sharing and
  enterprise innovations?
• b. How could government, academe and industry
  more effectively share information on
  manufacturing technology and research results?
• c. In light of a distributed-intelligence
  manufacturing scenario
• - What are good strategies for US business?
• - What new roles and relationships among
  manufacturing actors could be supported by
  enterprise information integration?
• - What is a US business anyway?
• d. What about employment and the job situation?
• e. What is the role of new connection-making
  technologies in advancing shared understanding
  among diverse groups of manufacturing domain
  actors? Will automated integration be achieved as
  trusted relationships mature?

19
Some Questions Face-to-Face Virtual Workshops

• 2. What are the strategic priorities and
  relationships that could frame planning for
  national dialogue around this strategic
  opportunity? Who needs to be included in this
  dialogue? (continued)
• f. How could we anticipate the realistic
  scenarios needed to form sound alliances and
  manage risk?
• g. How could semantic technologies support rapid
  connection-making that is valued for enhancing
  capacity and discernment, as evidenced by the
  increasing number of effective, but simultaneous
  roles and relationships that individuals maintain
  within and across manufacturing and other areas
  of human endeavor?
• h. What joint governance mechanisms are needed to
  mature the conducive environments needed by
  trusted practitioner networks of manufacturers?
  How can small business innovators be included?
  How could the manner in which they work
  (horizontally and vertically) be transformed?
• i. Will business incubators (state economic
  development programs) and innovation diffusion
  networks (SBIR, seed investment, angel investors,
  etc.) have a role as frontier outposts for
  Intelligent Information Use in Manufacturing?
• j. How could Intelligent Information Use in
  Manufacturing contribute to the triple bottom
  line - Environment, Social and Economic aspects
  of corporate performance?

20
Some Questions Face-to-Face Virtual Workshops

• 3. Commitment to Action and Reflection Next
  Steps Toward National Dialogue
• a. What are the implications of new ways of
  organizing for better problem-formulation and
  action?
• b. What is the role of Communities of Practice in
  problem-centered development that cuts across
  boundaries using web tools to support
  connection-making and accelerate learning that
  contributes to global competitiveness?
• c. How could open dialogue with transparency of
  records support understanding, trust and mitigate
  risk within and across interrelated domains?
• d. Will frontier outposts of early adopters
  deploy open standard, semantic technologies to
  "distill" the context-aware -data - information
  and knowledge needed by people and machines to
  solve problems within complex adaptive systems?
• e. How can the tools needed by diverse people to
  augment their "collective intelligence" around
  manufacturing be designed to support and not
  hobble people's natural forms of expertise?