I just had this idea about product selection:
let the public vote on which products should be done first... like
"The Greatest Canadian", etc., etc. We could ask for nominations,
and using that information along with our own ideas come up with a list
of (say) 10 products along with the reasons why each should be included
and then let people vote. I think that we need to have publicity as
one part of the budget, and this voting process could help increase
public interest in the project. What do you think?
On 25-Apr-06, at 5:10 PM, Timothy J Maciag wrote:
Describe the methodology/approach to be used
Public participation is key in this process and therefore our first
task will be to inform the public about ways in which they can be
involved in this process. Using the latest in interactive web-based
communication technologies, public input will be solicited. The public
will also learn about where to find the WDSS with the product
A consultative structure has been established within which to choose
products which could most beneficially be included in the WDSS. Factors
under discussion include marketing mechanisms associated with the
production methods, etc.
One of the initial tasks for this project will include the
collection of product information to conduct life cycle impact
analyses (LCIA) on the product groups and their competitors, thus
forming the knowledge base. The information collected will be used
as the basis for the product data used by the pilot system.
Stakeholders debate the relative merits of including each product, and
in this process the group arrives at a prioritized list of products to
include in the WDSS. For each of the factors identified, the means by
which this information can be accessed and discussed by consumers is
evaluated. For each product identified, data will be gathered and
presented for consumer analysis according to these discovered protocols.
One product group will be put on the web at a time, and as each is
released, web interactions will be analysed to improve the process that
leads these products to be put onto the web.
A review of current indexing systems will be performed and a new
(or similar) system will be designed and developed. To aid the
development of the conceptual framework, an assessment of current
management practices and their associated impacts in terms of
bioregion and rural municipality will be conducted. This will
include an analysis of how well the current land use matches the
bioregion. It will also include an analysis of how well the
management of the ecosystem matches adaptation to climate change.
The resulting indexing system will become the primary conceptual
framework for the pilot system.
Techniques in database design and development will be researched.
Specifically, an evaluation of current approaches to designing
effective database organizations in support of query optimization
will be conducted. The database organization techniques will be
evaluated and will lead to the development of a scalable and
extensible database of food products. Furthermore, an evaluation of
techniques to enhance query expressiveness will be conducted. This
will include an evaluation of query formation techniques such as
faceted metadata approaches, and others. Based on the results of
the evaluations, the researchers will develop the database
organization and refine the searching functionality to support
techniques will be employed to lay the framework for the
development of the pilot system interface. These techniques will
include: requirements analysis, activity scenarios, information
scenarios, interaction scenarios, paper and pencil modeling, and
scenario machine implementation. Usability examinations will be
conducted using participants from the University of Regina Computer
Science Participant Pool, members of the supporting organizations,
and interested community members. Researchers will submit the
appropriate ethics forms to the University of Regina Research
Ethics Board for approval. Conjoint analysis and repertory grids
will be used to conduct the evaluation. Following the evaluations,
results obtained will be analyzed and aid in the development of the
actual pilot system.
Geographic information system (GIS) data will be collected and/or
created and integrated as part of the pilot system. The University
of Regina has a state of the art geomatics lab that will be used to
construct the GIS. The GIS data will be used to model the
surrounding ecosystem and infrastructure by displaying bioregions,
historical production trends/patterns, natural resources,
transportation information, population information, and others. A
GIS lightweight map server will be designed and developed using the
data collected and integrated into the pilot system.
The academic researchers, supporting organizations, and interested
community members will evaluate the use of the pilot system and
discuss areas for possible future research.
Researchers and supporting organizations will communicate via an
email list, in-person, and through online conference meetings.
All project documents will be made available to the stakeholders via a
secured web depository on a secured server at the University of Regina.
The team will be managed by the project lead, Dr. Daryl Hepting. Dr.
Hepting will coordinate meeting times and conference calls as well as
manage the project’s email list. He will also be responsible for
allotting responsibilities and ensuring deliverables are met on time.
Timothy J. Maciag, PhD. Candidate
Dept. Computer Science, University of Regina
HCI Lab, CL 121, 306-585-4005
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Daryl H. Hepting, Ph.D.
Assistant Professor * Computer Science Department * CW 308.22
University of Regina * Regina, Saskatchewan, Canada S4S 0A2
firstname.lastname@example.org * http://www.cs.uregina.ca/~hepting
tel: (306) 585-5210 * fax: (306) 585-4745
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