climate change problem solving structured approaches based on real world experiences n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences PowerPoint Presentation
Download Presentation
Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences

Loading in 2 Seconds...

play fullscreen
1 / 16

Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences - PowerPoint PPT Presentation


  • 101 Views
  • Uploaded on

Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences. Richard B. Rood Laura J. Briley Daniel A. Brown all at University of Michigan, Ann Arbor. Outline. Model of knowledge system Structured problem solving

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences' - fisk


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
climate change problem solving structured approaches based on real world experiences

Climate-Change Problem Solving: Structured Approaches Based on Real-World Experiences

Richard B. Rood

Laura J. Briley

Daniel A. Brown

all at University of Michigan, Ann Arbor

outline
Outline
  • Model of knowledge system
  • Structured problem solving
  • How to express problem solving in information technology
  • Concrete design example:
    • Development of quasi-controlled vocabulary
    • Narrative information
  • Conclusions: Major Design Considerations
  • Draw a single thread through a complex problem
knowledge system
Knowledge System
  • Need to bring together disparate information and different points of view to develop strategies for applied problem solving
  • Key to development of successful strategies: iterative process or co-development with information providers and information users

Cash et al: 2002

Lemos & Morehouse, 2005

Dilling & Lemos, 2011

knowledge system science focused
Knowledge System, Science Focused
  • Two Points
    • This figure overstates the role of “science” in the knowledge systems
    • I choose not to draw a line between the two bubbles, as the relation between “science” and the application is not direct.

Applications

“Science”

knowledge system broadly
Knowledge System, Broadly

Political

“Science”

Applications

Disciplinary

Knowledge

These elements sit in a complex and changing relationship within any specific application, as well as across multiple applications.

Local Reality

Budget

Etc.

need to structure problem solving
Need to structure problem solving

Political

STRUCTURED PROBLEM SOLVING

“Science”

Applications

Disciplinary

Knowledge

Local Reality

Budget

Etc.

common structure of problem solving
Common Structure of Problem Solving

Political

“Science”

Disciplinary

Knowledge

Applications

Local Reality

Budget

Etc.

definitions structured problem solving
Definitions: Structured Problem-solving
  • Inventory is the collection of the necessary information to address the problem.
  • Analysis is the consideration of the nature of the information: deconstruction - breaking down the information, identifying relationships, determination of information gaps …
  • Evaluation is the determination of the quality and value of the information: accuracy, relevancy, defensibility, validation …
  • Synthesis is the fitting together of the information resulting from the above problem solving processes to address a specific problem: reconstruction, integration, creation of new knowledge
how to support this in it
How to support this in IT?
  • Inventory is easy to conceive as a database with a content management system
    • How to extend this to support
      • Analysis
      • Evaluation
      • Synthesis

Iterative

Co-development

capture expertise of people solving the problem
Capture Expertise of People Solving the Problem
  • Tag information (range of descriptors)
  • Translate information across disciplinary boundaries
  • Tailor information to be relevant to specific application
  • Describe uncertainty
  • Provide judgment on usability of information
  •  Knowledge applied to real problems

Focus on those directly vested in problem solving.

the way we have chosen to pursue this glisaclimate org
The way we have chosen to pursue this(GLISAclimate.org)
  • Faceted Search
  • Blog
  • Wiki

Drupal: Open Source Content Management

Apache Solr: Open Source Search

Analysis

Evaluation

Synthesis

vocabulary for faceted search
Vocabulary for Faceted Search
  • Controlled or defined vocabulary
  • User provided vocabulary

We have chosen a design of quasi-controlled vocabulary.

Co-developed with initial users

Limit terms to promote usability

Especially at the top, first levels

search glisaclimate org
Search: GLISAclimate.org

Top Layer

Overlap at Top

Sector Facets

General Page or Site Search

support co development glisaclimate org
Support Co-development: GLISAclimate.org

Recommended: Value of Usability

Media Type: Contributes to Evaluation

Narrative Information: Translation, Tailoring, Description, Usability

conclusion major design considerations http www glisaclimate org
Conclusion: Major Design Considerations(http://www.glisaclimate.org )
  • Support iterative co-development
    • Focus on those actively engaged in process
  • Information is not hierarchical
    • “Science” only part of knowledge base
  • Fundamental elements of problem solving
    • Inventory, Analysis, Evaluation, Synthesis
  • Quasi-controlled vocabulary
    • Classification, usability
  • Free-form narrative information and tags
    • Analysis, Evaluation, Synthesis
    • Iterative Co-development