The Supreme Judicial Council recently hosted a training course on “Extracting Active Information from Open Sources” for head judges and experts in real estate appraisal. The training course, held on November 28-29, 2023, was organized by the Foundation for the Development of Public Administration and the Program for Fair Judicial Reforms. Its main objective was to equip participants with the necessary skills to extract information from open sources effectively, with a focus on real estate acquisition cases involving judges.

This initiative highlights the commitment of the Supreme Judicial Council and relevant organizations in ensuring a fair and transparent real estate appraisal process. By enhancing the capabilities of head judges and experts in utilizing open sources, the hope is to promote accountability and eliminate any potential conflicts of interest in the road to acquiring real estate.

The training course was a valuable opportunity for participants to gain insights into the latest methods and techniques for extracting active information. With the increasing availability and accessibility of open sources, it is essential for judges and experts to remain updated and proficient in utilizing these resources to make informed decisions during real estate appraisal processes.

By investing in such training programs, the Foundation for the Development of Public Administration and the Program for Fair Judicial Reforms demonstrate their commitment to promoting professionalism and excellence in the field of real estate appraisal. The active involvement of head judges and experts from the Supreme Judicial Council further reinforces the importance of transparency and integrity in the judiciary system.

The implementation of effective methods for extracting information from open sources is crucial in ensuring the accuracy and fairness of real estate appraisal processes. This training course serves as a stepping stone towards achieving these goals, equipping head judges and experts with the necessary tools and knowledge to extract active information efficiently.