Case Study on Environmental Scanning

Concluding Remarks and Future Work

The developed IESA deals with creating an efficient large scale participation network. It provides the policy/decision makers for reducing uncertainty and complexity and improving the quality of future decision making. Different knowledge-based methods (E-RT-Delphi, SWOT, PESTEL, Explanation, and ontology building) integrated with model-based methods (MICMASC) to help for building and managing knowledge repositories for environmental scanning process.
We applied the developed framework and its represented web-tool to help policy/maker for addressing the major future drivers in the Egyptian Wheat crop production during the next 13 years.
Our future work could be extended by integrating the proposed approach with the interval based/fuzzy based TIA to anticipate future impacts of the major drivers. Also, data-mining techniques can be used as powerful tools for automated ontology building.

Callback before_footer in local_aigrade component should be migrated to new hook callback for core\hook\output\before_footer_html_generation

line 7225 of /lib/moodlelib.php: call to debugging()
line 7292 of /lib/moodlelib.php: call to {closure}()
line 71 of /lib/classes/hook/output/before_footer_html_generation.php: call to get_plugins_with_function()
line 987 of /lib/classes/output/core_renderer.php: call to core\hook\output\before_footer_html_generation->process_legacy_callbacks()
line 97 of /mod/book/tool/print/index.php: call to core\output\core_renderer->footer()