EC recruits over 200 election collation professionals

Story: News Desk 

The Electoral Commission (EC) has reaffirmed its dedication to ensuring an error-free electoral process, emphasizing its commitment to transparency and upholding public trust.

This assurance is part of the EC’s efforts to maintain democratic values as Ghana heads toward the 2024 election.

In a strategic move to enhance operational efficiency, the EC has recruited over 200 professionals with backgrounds in mathematics, statistics, and other quantitative fields.

These specialists are expected to bring their expertise to the election process, supporting data accuracy and enhancing the credibility of results.

Dr Eric Bossman Asare, the Deputy Chairperson of the EC, discussed these efforts in a media interview on Tuesday, November 5.

He explained that the Commission’s preparations were focused on both accuracy and transparency, which he described as essential for maintaining the public’s confidence in the results.

According to Dr Asare, the newly recruited experts will play a crucial role in preventing any data discrepancies.

Their analytical skills will be applied to precise data collation, vote tabulation, and statistical analysis—critical processes that, if mishandled, could impact the integrity of the electoral results.

This initiative, Dr Asare noted, reflects the EC’s proactive approach to minimize errors and uphold democratic standards, reassuring the public of the Commission’s commitment to a credible election.

“The Commission has already recruited over 280,000 individuals who are going to work on this election. We have also recruited people who are going to help with the collation.”

“These are people who have a background in mathematics, actuarial science, and statistics and will be assisting with quantitative methods. So they are going to assist the returning officers at the constituency level.”

Related Post

No more posts to show

Post Comments

Leave a Reply

Your email address will not be published. Required fields are marked *