Guest Speaker: Professor John
Tharakan, Howard University, USA
Organised By: Sudanese Knowledge
Society
In Collaboration with:
Global Compact Network Sudan
Sudanese Centre for Engineering and
Environmental Studies
National Energy Research Centre
Sudanese National Academy of Sciences
Sudanese Environment Conservation Society
Sudanese National Academy of Sciences
Sudanese Environment Conservation Society
Call for Participation
The main objective of this workshop is to
“speculate” about the significance of knowledge management to the wide-ranging environmental
issues confronting Sudan and other countries in Africa. Knowledge management (KM),
a multidisciplinary field, is concerned with how people can produce and use
knowledge. It recognises that the most important organisational assets are its
people and their knowledge. It also
considers and strengthens the strategies, practices and technologies that are
used to identify, create, represent, distribute, and enable the adoption of
insights and experiences with the aim of improving the organisation’s
performance. Knowledge management offers ways to support the acquisition,
accumulation, integration and use of large quantities of information. This
information are typical of environmental management projects and their impact
assessments, the documentation and incorporation of local environmental
knowledge systems, the creation of knowledge sharing systems for urban and rural
development projects such as agriculture and housing plans, and the engagement
of the citizenry in conservation efforts. It is vital that environmentally
relevant knowledge be available and put to use, in projects that deal with construction
of the build environment (roads, buildings, dams) as well as management of resources
(water, land, minerals) to improve the environmental
impacts of these projects leading to greater sustainable development.
In the workshop we will consider a number of
examples of KM use in environmental conservation such as data collection,
archiving, retrieval and visualization, and in particular 3-dimensional digital
resources which are essential knowledge carriers and important building blocks
of simulation systems and engineering mechanisms. The uses of KM in digital media
is not only related to visual aspects and rendering processes, but also
involves an adequate representation of domain knowledge to exploit and preserve
both the expertise used for their creation and the comprehensive information content carried.
The uses of KM are not limited to handling environmental data only, but also about
strengthening collaboration and knowledge sharing amongst its workers dealing
with the environment, and integration of different knowledge sources. Some of
the issues that occupy environmental workers in Sudan fall along the lines of global
concerns such as climate change and chemical pollution. They can also be related
to a sector (e.g. energy, health) or a natural resource (e.g. forest, river);
or they can promote a particular paradigmatic approach (e.g. appropriate
technology). While KM can offer valuable tools for improved access to
information on these concerns, it can also offer tools for popularising
environmental knowledge that act on changing perceptions and behaviours. Moreover,
KM can assist in the wide collaboration between different expertises leading to multidisciplinary approaches when dealing with issues that affect the shared
heritage of natural resources.
Outline of Workshop Programme:
·
Keynote Talk
“Cradle to Cradle - Pollution Prevention and Waste Management for Africa in
the 21st Century”.
·
Introduction
to KM uses in environmental management projects and rural development.
·
Overview
of relevant environmental knowledge/information initiatives.
·
Invited presentations
of local case studies e.g. the Nile, Dinder Park, agricultural schemes, dams, Red
Sea; and projects on solar energy, waste management, emission reduction,
business for peace, etc.
·
Knowledge
Cafes for thinking out of the box and thinking about the future.
·
Tutorial
on CmapTools (open source software for knowledge capturing and modelling).
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