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Dina Kayaly, Principle Consultant of CSR Arabia, asserted that companies can contribute to long-term social development through focusing on education and infrastructure, thus creating opportunities for future generations.
She made the remarks during her participation in an expert panel under the theme of the latest Corporate Social Responsibility (CSR) trends in 2025, held within the framework of the 15th Egypt CSR and Sustainable Development Forum (15th Egypt CSR Forum).
She noted that Coca-Cola in India launched ‘Support My School’ campaign with an aim to support and revitalize rural schools through improving basic infrastructure, such as toilets, drinking water facilities, playgrounds, and libraries.
Kayaly explained that this campaign, carried out in partnership with NGOX and several other sponsoring companies, contributed to improving the learning environment in more than 1,000 schools with about 300,000 students across India.
This has led to improving attendance rates and creating a more encouraging educational environment, she expounded.
She noted that collaboration with local communities is essential to ensure that CSR initiatives support local education and address key needs.
Kayaly expounded that setting common industrial standards and coordination among companies on joint initiatives can accelerate progress toward achieving sustainable goals.
She added that partnerships between governments and companies can significantly contribute to addressing urgent challenges, such as climate change and infrastructure development, explaining that these partnerships allow leveraging shared resources and expertise.
She noted that governments can collaborate with renewable energy companies to invest in solar power plants, thus boosting clean energy production and promoting the transition to a more sustainable economy.
Kayaly also highlighted the importance of artificial intelligence and machine learning in improving CSR tracking, noting that traditional methods face significant challenges, such as inconsistent data collection standards, difficulty in measuring real impact due to labor-intensive manual processes, and lack of predictive analytics to guide future strategies.
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