WIMEA-ICT PROJECT TO CATER FOR GENDER DYNAMICS

By: Prossy Tulinomubezi

Gender dynamics are to be addressed through the WIMEA-ICT project by devising strategies that support gender equality if access to weather information and weather information management is to be achieved.

Dr. Juliane Sansa-Otim is the Principle Investigator of the NORAD WIMEA-ICT project, says that prior to the task, research was conducted in Uganda, Tanzania and Sudan and short comings which range from decreased agricultural productivity, weather related diseases and weather related accidents which can be solved if gender dynamics are worked on.

Assoc. Prof. Constant Okello-Obura, Principal of the College of Computing and Information Sciences (CoCIS), Makerere University said focusing on gender is relevant because there are many gender dynamics that bring about imbalances in access to weather information.

“When we bring in the component of gender when talking of weather information management, it is very relevant because in East Africa, both men and women who are directly involved in agriculture need weather information,” Obura said.

He was speaking at a WIMEA-ICT workshop held last week at the College of Computing and Information Sciences Makerere University.

“When it comes to information access, there are various social, religious and cultural issues related to gender in terms of access to information which challenges the WIMEA-ICT project intends to address,” Obura added.

Fred Kindi a gender expert from the Department of Gender and Women Studies Makerere University says that gender determines resource distribution, access and control, access to benefits, opportunities, and education among others. The WIMEA-ICT project thus arises to address such challenges.

“Women are discriminated when it comes to resource distribution, decision making, education and when it comes to employment, preference is always given to men which unfairness WIMEA-ICT project intends to solve,” he said.

The WIMEA-ICT project has four main components of; Numerical Weather Prediction, Weather Station Network Density, Weather Data Repositories, Weather Information dissemination which are to be implemented through research and teaching.

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