Research Article | Open Access | Download PDF
Volume 74 | Issue 2 | Year 2026 | Article Id. IJCTT-V74I2P102 | DOI : https://doi.org/10.14445/22312803/IJCTT-V74I2P102Bridging the Digital Divide: A Data-Driven Approach to Expanding Connectivity in Underserved Communities
Aditya Dev
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 12 Dec 2025 | 17 Jan 2026 | 09 Feb 2026 | 26 Feb 2026 |
Citation :
Aditya Dev, "Bridging the Digital Divide: A Data-Driven Approach to Expanding Connectivity in Underserved Communities," International Journal of Computer Trends and Technology (IJCTT), vol. 74, no. 2, pp. 7-10, 2026. Crossref, https://doi.org/10.14445/22312803/IJCTT-V74I2P102
Abstract
The digital divide remains a significant barrier to economic growth, education, and social inclusion, particularly in rural and underserved communities. Despite advancements in telecommunication technologies, millions worldwide lack reliable internet access due to infrastructure limitations, affordability concerns, and digital literacy gaps. This paper presents a data driven approach to bridging the digital divide by leveraging advanced analytics, predictive modeling, and policy-driven solutions. We analyze key factors contributing to connectivity disparities, assess the impact of broadband expansion programs, and propose data-driven strategies for optimizing network deployment and affordability initiatives. The findings offer actionable insights for policymakers, telecommunication companies, and technology providers to accelerate digital inclusion efforts.
Keywords
Broadband access, Digital inclusion, Data-driven approach, Telecommunications, Predictive modeling.
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