INEC begins training for supervisors
INEC has commenced a training of trainers for state coordinating supervisors to improve the speed and accuracy of incident reporting for the 2027 election. Read More: https://punchng.com/inec-begins-training-for-supervisors/
The Independent National Electoral Commission (INEC) has initiated a training program for state coordinating supervisors of the Electoral Operations Support Centre (EOSC). The objective is to enhance the efficiency and precision of reporting on electoral incidents ahead of the 2027 General Election. The training, organized by INEC's Electoral Operations Department, aims to equip supervisors with the necessary skills to coordinate EOSC activities and guide personnel involved in electoral operations.
Speaking at the event, Deputy Director of Operations, Jibril Mohammed, emphasized the role of EOSC in monitoring on-ground developments and promptly escalating emerging issues to relevant authorities. He highlighted that every report reflects a situation impacting people, be it electoral personnel, materials, processes, or voters in need of guidance.
Mohammed urged supervisors to deliver clear instructions and make sound decisions while coordinating their teams. Additionally, he tasked participants with ensuring the knowledge acquired is effectively communicated to state-level personnel. The success of the training will be assessed based on the trained individuals' confidence and competence in handling their roles during the elections.
Mohammed stressed the importance of accuracy and timeliness in reporting, urging supervisors to maintain a human-centric approach when dealing with field officers, especially under pressure. He called for a practical and interactive training session, focusing on real-life scenarios participants may encounter during the 2027 General Election.
The initiative is part of INEC's efforts to strengthen its operational response and better manage challenges during the upcoming elections.
Written by urgent.news from Punch Nigeria's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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