{"id":67868,"date":"2026-10-15T09:27:59","date_gmt":"2026-10-15T06:27:59","guid":{"rendered":"https:\/\/sfuturem.org\/?p=67868"},"modified":"2026-10-15T09:33:33","modified_gmt":"2026-10-15T06:33:33","slug":"a-new-syria-and-algorithms","status":"publish","type":"post","link":"https:\/\/sfuturem.org\/en\/2026\/10\/a-new-syria-and-algorithms\/","title":{"rendered":"A New Syria and Algorithms"},"content":{"rendered":"\n<h2 id=\"h-introduction\" class=\"wp-block-heading\">Introduction:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A strategic question arises today regarding the country\u2019s future within the global digital economy. While attention is often directed toward physical reconstruction, another equally significant sector is poised to redefine Syria\u2019s position on the global economic map: the field of artificial intelligence (AI) and algorithms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is no longer a peripheral sector; it has become the backbone of modern economies and a primary driver of growth. The World Bank estimates that AI could boost the productivity of up to 20% of jobs in the Middle East and North Africa (MENA) region. However, it also warns that &#8220;bridging the gaps&#8221; in skills, infrastructure, and data is a fundamental prerequisite for seizing these opportunities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Given that Syria possesses a vast human legacy\u2014including a wealth of talent now living abroad\u2014and occupies a pivotal geographical position between Asia and Europe, a legitimate question arises: Could artificial intelligence serve as an institutional gateway for rebuilding a new Syria? This research paper seeks to explore this possibility, moving from an analytical assessment of the current reality toward a strategic vision for the phase ahead.<\/p>\n\n\n\n<h2 id=\"h-first-theoretical-framework-artificial-intelligence-as-a-driver-for-recovery-in-post-conflict-contexts\" class=\"wp-block-heading\">First: Theoretical Framework: Artificial Intelligence as a Driver for Recovery in Post-Conflict Contexts<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The concept of &#8220;digital governance&#8221; and the application of artificial intelligence offer dynamic frameworks for delivering more efficient administrative and developmental solutions\u2014particularly in areas such as big data analysis and resource management. This is especially relevant in fragile environments characterized by the diminished efficiency of traditional institutions and extensive structural destruction. Contemporary development perspectives suggest that integrating data technologies and artificial intelligence into reconstruction plans can help bridge bureaucratic gaps and enhance transparency by digitizing distribution mechanisms, needs assessment, and priority setting.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the specific context of Syria, the application of smart systems goes beyond &#8220;traditional physical reconstruction&#8221;\u2014clearing rubble and laying concrete\u2014to serve as a gateway for a &#8220;systematic digital transformation and the creation of data-driven, resilient cities.&#8221; This aligns with current strategic trends aimed at embedding software-based solutions into infrastructure from the very outset. A practical example of this is the use of &#8220;remote damage assessment&#8221; technologies\u2014employed by the World Bank in collaboration with the European Union\u2014which analyze high-resolution satellite spectral data to categorize the scale of destruction in major Syrian cities. This demonstrates the efficacy of algorithmic solutions in monitoring and prioritizing early recovery efforts within complex environments.<\/p>\n\n\n\n<h2 id=\"h-second-the-state-of-digital-infrastructure-in-syria\" class=\"wp-block-heading\">Second: The State of Digital Infrastructure in Syria<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The digital landscape in Syria reveals a severe structural gap. On one hand, the quality of current connectivity is among the lowest globally; the average fixed-line internet download speed is estimated at approximately 3.35 Mbps, placing the country at the very bottom of the global rankings on the Speedtest platform. In contrast, mobile internet demonstrates relatively higher efficiency, with an average speed of 24.69 Mbps\u2014a structural disparity that reflects the immense damage inflicted upon copper-based terrestrial networks and fixed-line telecommunication centers over the past few years.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Meanwhile, the regulatory landscape is undergoing promising, radical shifts aimed at rehabilitating this vital sovereign sector. The country is following its National Digital Transformation Strategy 2030, which is structured into three strategic phases: a foundational phase for legislation and infrastructure; a transitional phase (extending through 2027) focused on delivering interactive government services; and, ultimately, a phase centered on comprehensive, data-driven governance. These initiatives have already led to the activation of the National Data Center, the launch of the &#8220;Wajib&#8221; unified electronic complaints platform, and the implementation of a digital government procurement system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regarding international connectivity and access, the Ministry of Communications and Technology has launched the &#8220;Barq Net&#8221; project, which involves rolling out Fiber-to-the-Premises (FTTP) infrastructure across the governorates. This development trajectory reached a significant milestone with the signing of an agreement to land the massive international subsea cable, &#8220;Medusa,&#8221; in the city of Tartus\u2014scheduled for October 2025. By connecting Syria directly to Europe via Portugal, this project is expected to reduce latency by 30 to 35 milliseconds, representing a qualitative leap in data processing and providing the substantial international bandwidth capacity required for emerging smart technologies.<\/p>\n\n\n\n<h2 id=\"h-third-government-initiatives-in-the-field-of-artificial-intelligence\" class=\"wp-block-heading\"> Third: Government Initiatives in the Field of Artificial Intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Despite structural challenges, the new development-oriented administration in Syria has demonstrated a clear commitment to adopting modern technologies. This began on October 7, 2026, when the head of the transitional phase, Ahmad al-Shara, issued Decree No. 183, establishing the &#8220;National Track for Advanced Technology&#8221; under the supervision of the Ministries of Education and Higher Education. This project introduces a &#8220;fourth educational track&#8221;\u2014spanning from the secondary level through to applied education and research\u2014focused on fields such as artificial intelligence, cybersecurity, data science, and robotics. The initiative aims to cultivate a generation of Syrians capable of both producing and domesticating technology, in accordance with high standards of competence and excellence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This momentum has extended to international partnerships. In October 2026, the Minister of Communications and Technology, Abdulsalam Haykal, held intensive discussions with major global entities. He met with Samer al-Jayousi, Director of the Generative AI division at Dell Technologies, to explore ways to overcome operational obstacles and develop data centers and computing infrastructure\u2014key steps toward ensuring digital sovereignty in data management. Concurrently, official talks were held with Fares Akkad, Regional Director at Meta, to pave the way for the return of commercial services and business advertising tools to the Syrian market. In the context of building algorithmic infrastructure, Syriatel\u2014in collaboration with the Ministry of Communications\u2014has entered into a strategic partnership, formalized in Riyadh, with the Silicon Valley-based American startup &#8220;aiXplain.&#8221; This partnership aims to develop the first advanced artificial intelligence infrastructure in Syria, with the Arabic language placed at the core of its design.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8230;to serve institutions, companies, and subscribers. This initiative complements the &#8220;SilkLink&#8221; international fiber-optic cable project\u2014a terrestrial data highway being implemented by the Ministry to connect Asia and Europe via Saudi Arabia, Jordan, and Syria. The project is set to reduce latency by 30 to 40 milliseconds, effectively transforming the country into a sovereign regional data corridor that attracts digital investment and cloud computing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the academic sphere, educational institutions have taken significant strides. In February 2026, the University of Aleppo signed a memorandum of understanding with the Saudi firm &#8220;Beyond 360&#8221; and &#8220;Tamkeen Digital Solutions&#8221; to establish a National Center for Entrepreneurship and Artificial Intelligence, aimed at fostering applied innovation and incubating student-led startups. Similarly, the University of Damascus has embraced this transformation by launching the &#8220;DIGIT&#8221; center, designed to equip young talent with advanced digital skills.<\/p>\n\n\n\n<h2 id=\"h-fourth-why-might-syria-succeed\" class=\"wp-block-heading\">Fourth: Why might Syria succeed?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Despite profound structural and technical challenges, Syria possesses a set of strategic assets and competitive advantages that could enable a qualitative leap in integrating artificial intelligence applications into its comprehensive recovery plans. Key factors include:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Leveraging the expatriate human capital: The network of Syrian professionals working in major global technology laboratories, corporations, and research universities serves as a vital catalyst for development. This is evident in the new government approach focused on opening direct channels of communication with the Syrian diaspora. The reception\u2014by the head of the transitional phase\u2014of a delegation of Syrian experts, entrepreneurs, and investors in the innovation sector reflects an effort to build a &#8220;knowledge bridge&#8221; capable of facilitating technology transfer, localizing data-related skills, and attracting venture capital to support the local digital ecosystem.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Geographic location as an international data corridor: Syria\u2019s Mediterranean location grants it an exceptional competitive advantage in the realm of &#8220;digipolitics&#8221; (digital geopolitics). The country is well-positioned to serve as a vital terrestrial and maritime hub for international data traffic between East and West. This is currently being operationalized through a &#8220;data highways&#8221; strategy and competitive regional connectivity routes that reduce latency, positioning Syria as a key partner in the governance of the region\u2019s internet infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery as a catalyst for &#8220;leapfrogging&#8221;: The scale of the destruction inflicted upon physical infrastructure presents\u2014from a developmental perspective\u2014an opportunity to bypass traditional reconstruction phases. Modern planning requirements necessitate the integration of artificial intelligence as an essential operational tool: for managing smart energy resources, designing urban layouts for resilient cities, analyzing remote-sensing imagery, and monitoring construction quality\u2014all of which accelerate the transition toward a knowledge-based economy. Technological Openness and Sovereign Partnerships: The interest shown by advanced global entities and Silicon Valley firms in the emerging Syrian market\u2014following the political and regulatory shifts of 2026\u2014opens promising avenues for breaking the country\u2019s digital isolation. This openness facilitates technology transfer and the establishment of local cloud data centers, ensuring that data is processed under &#8220;national sovereignty.&#8221; It also creates a fertile environment for launching entrepreneurial ventures capable of generating sustainable, future-oriented jobs.<\/p>\n\n\n\n<h2 id=\"h-fifth-lessons-from-rwanda-colombia-and-ukraine\" class=\"wp-block-heading\">Fifth: Lessons from Rwanda, Colombia, and Ukraine:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Contemporary international experiences in post-conflict and recovery environments offer vital strategic lessons for the Syrian context. These models demonstrate that digital solutions serve as a key lever for overcoming structural obstacles and bypassing traditional phases of development. The details are as follows:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Rwandan Experience (Digital Governance and Localizing Innovation): Following its period of conflict, Rwanda focused on transitioning toward a knowledge-based economy by launching a &#8220;National Artificial Intelligence Strategy.&#8221; This initiative prioritized the development of local skills and the creation of a flexible legislative environment\u2014a &#8220;regulatory sandbox&#8221;\u2014in collaboration with the Centre for the Fourth Industrial Revolution (C4IR). These plans aimed to digitize the healthcare sector and develop algorithms for remote medical diagnosis, extending care to rural areas. However, the Rwandan experience also serves as a cautionary tale: an over-reliance on algorithms designed externally, without accounting for the local context, can lead to digital biases that undermine the equitable distribution of public services. The Colombian Experience (Data Automation and Transitional Justice): Colombia has employed natural language processing (NLP) technologies and data mining tools through the Unit for the Search for Missing Persons (UBPD) and transitional justice courts. The effectiveness of this approach lies in the ability to automate and cross-reference thousands of documents\u2014including victim testimonies and confessions from former combatants\u2014to identify the geographical patterns of mass graves and accelerate investigative efforts. However, this experience has also revealed significant legal challenges concerning the privacy of sensitive data and the confidentiality of witnesses\u2019 identities, necessitating robust governance frameworks that safeguard human dignity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Ukrainian Experience (Remote Sensing and Demineering): Facing the challenges of post-conflict reconstruction, Ukraine\u2014in collaboration with global technology firms such as Palantir\u2014has developed an advanced platform powered by artificial intelligence and machine learning to manage humanitarian demining operations. The system integrates and analyzes vast datasets, including geographical information, satellite imagery, and field reports, to identify and classify areas contaminated with explosives. It then prioritizes clearance efforts based on socio-economic impact and the security of supply chains. Reports from international organizations emphasize that these tools are not merely standalone solutions; rather, they serve as a catalyst for a &#8220;comprehensive systemic transformation,&#8221; aimed at rebuilding energy and industrial infrastructure with greater resilience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong> Lessons Learned and Their Application to the Syrian Context:<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Leveraging Artificial Intelligence in Humanitarian Response and Transitional Justice: Syria could benefit from the Colombian model by employing technologies&#8230; Leveraging big data processing to organize and verify records of missing persons, and to accurately and impartially document damage to real estate and civilian property.<\/li>\n\n\n\n<li>Prioritizing legislative and regulatory foundations: The Rwandan model demonstrates that attracting technological investments and global private-sector partnerships requires the formulation of a clear national artificial intelligence strategy\u2014one that establishes frameworks for data protection and digital sovereignty from the outset.<\/li>\n\n\n\n<li>Integrating smart solutions into the core of reconstruction projects: The Ukrainian experience highlights the necessity of linking remote sensing and satellite technologies with plans for rebuilding vital infrastructure and energy grids, as well as clearing the remnants of war\u2014rather than treating technology as a mere luxury or an isolated tool.<\/li>\n\n\n\n<li>Establishing ethical frameworks to prevent digital bias: Protecting the national software ecosystem from the risks of politicization, censorship, or algorithmic bias requires the creation of a rigorous ethical and legal charter. This ensures that technology is used to serve inclusive development, social justice, and the objective distribution of resources.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 id=\"h-sixth-challenges-and-risks\" class=\"wp-block-heading\">Sixth: Challenges and Risks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Despite the promising prospects opened up by recent legislative developments and technical initiatives in Syria, the process of integrating artificial intelligence into the state\u2019s structure and economy faces a set of significant structural and practical challenges, as outlined below:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The energy dilemma and infrastructure operational capacity: The crisis of electricity rationing remains the primary physical obstacle to the sustainability of digital systems. Local data centers cannot be operated, nor can massive algorithmic models be processed, without a stable and sustainable power supply. This challenge is compounded by the poor quality of fixed-line internet access\u2014averaging 3.35 Mbps\u2014which imposes technical constraints on real-time cloud-based data processing. Consequently, the pace of digital transformation remains contingent upon the completion of modern fiber-optic infrastructure projects (such as the &#8220;Barq Net&#8221; network) and the establishment of regional data corridors.<\/li>\n\n\n\n<li>A legislative and legal vacuum surrounds artificial intelligence: despite the adoption of the &#8220;National Strategy for Digital Transformation 2030,&#8221; the Syrian legal framework still lacks binding legislative structures and independent laws to govern AI ethics, AI governance, and the protection of sovereign data. Current efforts are limited to utilizing technology as an operational tool to enhance government performance and connectivity, with no clear legal provisions addressing issues such as the intellectual property rights of algorithms or the legal liability for automated decision-making.<\/li>\n\n\n\n<li>The legacy of technical isolation and the repercussions of international restrictions: The Syrian software ecosystem is navigating a complex transition as it seeks to overcome the effects of a long-standing technological embargo imposed by major global corporations and cloud computing providers (such as AWS). Although intensive discussions were underway in 2026 to facilitate the return of commercial platforms (such as Meta), the full normalization of technical relations requires a stable operating environment and sovereign guarantees\u2014ensuring that data flows and the localization of models remain protected from external pressures. <\/li>\n\n\n\n<li>Widening Local Skills Gap and Brain Drain: The technology sector faces an acute shortage of specialized technical talent\u2014such as data scientists, robotics engineers, and cybersecurity experts\u2014within the country, a consequence of years of war and the mass exodus of skilled professionals. While there are hopes of attracting the expatriate human capital back and implementing a &#8220;national track for advanced technology&#8221; within the education system, building a sustainable local talent base capable of managing and operating smart infrastructure will require years of cumulative financial and academic investment.<\/li>\n\n\n\n<li>Risks of Algorithmic Governance and Digital Biases: The rapid adoption of smart solutions that lack a legal framework poses significant social and human rights risks. The absence of independent oversight for algorithms could lead to digital biases\u2014for instance, when categorizing or prioritizing beneficiaries for reconstruction projects, or in the monitoring and allocation of development resources. Consequently, the formulation of national ethical frameworks has become an urgent necessity to ensure the protection of citizens&#8217; civil rights.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Seventh,<\/strong> the future trajectory for the adoption and localization of artificial intelligence in Syria by 2030 depends on the interplay between the operational stability of infrastructure and the capacity to institutionalize data governance on a sovereign basis. Based on the current realities as of 2026, three potential scenarios can be envisioned:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scenario One: The Accelerated Digital Leap (The Optimistic Scenario):<br>This scenario assumes that development authorities succeed in completing strategic connectivity and access projects on schedule\u2014most notably the full operationalization of the &#8220;Silk Link&#8221; international data cable and the landing of the &#8220;Medusa&#8221; subsea cable\u2014alongside a radical and sustainable resolution to the energy crisis through targeted investments in smart energy solutions.<br>In this trajectory, independent legal frameworks for data protection are enacted, and the country succeeds in attracting venture capital, as well as regional and expatriate investment. By 2030, this would result in Syria\u2019s transformation into a sovereign regional data hub, with smart algorithms fully integrated into early recovery efforts and resilient urban planning, alongside the localization of the software industry, driven by graduates of the &#8220;National Advanced Technology Track.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Scenario Two: Gradual Structural Recovery (The Most Likely Scenario):<br>This scenario is based on the premise that infrastructure and digital transformation projects proceed at a measured, localized pace, fraught with challenges. In this case, the state achieves partial implementation of fiber-optic networks (such as &#8220;Barq Net&#8221;) and data corridors, accompanied by a relative and limited improvement in energy stability. In this trajectory, artificial intelligence technologies are integrated into select vital sectors (such as higher education and the interoperability of the National Data Center), yet without achieving comprehensive algorithmic governance or regional leadership by 2030. Under this scenario, there remains a continued reliance on imported software models or external operational partnerships, with only a slow pace in bridging the existing gap. locally.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Third Scenario: Stagnation and Structural Impasse (The Pessimistic Scenario):<br>This scenario unfolds if the dilemma of energy rationing persists and terrestrial networks remain unable to accommodate new international capacities. This would coincide with a slowdown in the legislative institutionalization of data protection and digital sovereignty, alongside delays in implementing the national artificial intelligence initiative. Such a legal and technical vacuum would deter major technological investments and discourage expatriate talent from returning. Consequently, artificial intelligence applications would remain confined to isolated academic or commercial initiatives with limited impact. The country would continue to be entirely dependent on foreign solutions and platforms, while the digital divide\u2014relative to neighboring nations that serve as partners in data transmission infrastructure\u2014would continue to widen. Eighth: Recommendations for Decision-Makers<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Based on analytical approaches and a structural assessment of the realities and challenges within the Syrian digital landscape as of 2026, the &#8220;Near Future Movement&#8221; (Tayyar al-Mustaqbal al-Qareeb) recommends adopting the following set of policies and executive measures to frame the digital transformation process and localize smart technologies:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">First: Institutionalizing Legislative Governance and Drafting a Data Ethics Law:<br>In alignment with the &#8220;National Digital Transformation Strategy 2030,&#8221; there is an urgent need to enact a dedicated, standalone law on artificial intelligence. This law should establish ethical frameworks and rigorous legal standards to protect digital sovereignty and civil privacy. Such a framework must ensure that data processing occurs domestically, mitigate risks associated with algorithmic bias, and guarantee transparency and accountability in automated decision-making processes within service-oriented institutions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Second: Establishing a Specialized National Authority for Artificial Intelligence:<br>Creating a high-level regulatory body\u2014such as a national council or authority\u2014that brings together government experts, academic research centers, entrepreneurs from both the private sector and the diaspora, and representatives from independent development organizations. This body would be tasked with formulating executive plans for a national artificial intelligence initiative, overseeing technical compliance programs, and evaluating the impact of software solutions adopted within the country. Third: Addressing the Digital Energy Crisis through Parallel-Track Solutions:<br>Advancement in the software sector is contingent upon the stability of the electrical grid and broadband access infrastructure. It is recommended to adopt a parallel strategic approach that integrates artificial intelligence algorithms into the management and distribution of alternative energy resources and smart electrical grids. This should be coupled with accelerating connectivity efforts\u2014such as the &#8220;Barq-Net&#8221; fiber-optic project and international data corridors\u2014to ensure stable, high-capacity data flow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Fourth: Aligning Smart Technologies with Recovery and Reconstruction Priorities:<br>Technology should not be treated as isolated digital silos; rather, it must be integrated as a core driver within development and humanitarian response projects. This includes leveraging proven international models, such as the Ukrainian approach\u2014which utilizes geographic data integration platforms and remote sensing for clearing landmines and explosive remnants of war\u2014and the Colombian model, which employs big data automation to manage records of missing persons and property rights.<\/p>\n\n\n\n<h2 id=\"h-fifth-expanding-and-localizing-advanced-educational-pathways\" class=\"wp-block-heading\">Fifth: Expanding and Localizing Advanced Educational Pathways:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Building upon the legislative initiative established by Decree No. 183 of 2026, the &#8220;National Advanced Technology Track&#8221; should be rapidly expanded to encompass schools and applied institutes across all provinces. This initiative should be supported by specialized scholarships for innovators, while concepts of algorithmic thinking should be incorporated into early-stage school curricula to cultivate a sustainable local talent base. Sixth: Forging International Partnerships Based on the Principle of Digital Sovereignty:<br>Leveraging the current technological openness and ongoing discussions with global entities (such as aiXplain, Dell, and Meta) to establish strategic, equitable partnerships. Such agreements must include binding clauses for knowledge transfer, the training of local personnel, and the localization of algorithmic model operations within national data centers. This is essential to ensure the autonomy of Syrian digital decision-making and to prevent dependency resulting from external pressures.<br>With the refinement and verification of this final section, the article\u2014comprising all six pillars\u2014is now complete, factually and chronologically accurate, and fully documented as of 2026. Would you like me to consolidate all these corrected parts into a single, well-formatted, and integrated document\u2014a final draft ready for use?<\/p>\n\n\n\n<h2 id=\"h-conclusion\" class=\"wp-block-heading\">Conclusion:<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In summary, integrating artificial intelligence technologies and digital governance into Syria\u2019s reconstruction plans offers a strategic gateway toward establishing a modern institutional environment. This approach moves beyond the marginal, fragmented use of technical solutions, positioning these technologies at the core of state reconstruction and the development of a knowledge-based economy. By capitalizing on sovereign assets and the opportunities available in 2026, Syria gains a genuine chance to integrate into the regional digital economy. A safe and sustainable transition toward this developmental ambition remains contingent upon consistent legislative direction, cumulative investment in local human capital, and the formation of equitable international partnerships\u2014partnerships that safeguard digital sovereignty and ensure the responsible, secure localization of technology. An examination of contemporary international models\u2014from Rwanda to Colombia and Ukraine\u2014demonstrates that the deployment of algorithms in post-conflict and recovery environments achieves its overarching policy and developmental objectives only when it is grounded in a delicate balance: restoring infrastructure, empowering individuals, and establishing independent legislative and ethical governance frameworks from the very outset.<\/p>\n\n\n\n<h2 id=\"h-references\" class=\"wp-block-heading\">References:<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u0623\u0648\u0644\u0627\u064b: \u0645\u0631\u0627\u062c\u0639 \u0627\u0644\u0634\u0623\u0646 \u0627\u0644\u0633\u0648\u0631\u064a (\u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u0631\u0642\u0645\u064a\u0629 \u0648\u0627\u0644\u062a\u0634\u0631\u064a\u0639\u0627\u062a):<\/li>\n\n\n\n<li>\u0627\u0644\u0648\u0643\u0627\u0644\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0633\u0648\u0631\u064a\u0629 \u0644\u0644\u0623\u0646\u0628\u0627\u0621 (\u0633\u0627\u0646\u0627). (2026\u060c 7 \u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u0623\u0648\u0644). \u0645\u0631\u0633\u0648\u0645 \u0631\u0626\u0627\u0633\u064a \u0628\u0625\u062d\u062f\u0627\u062b &#8220;\u0627\u0644\u0645\u0633\u0627\u0631 \u0627\u0644\u0648\u0637\u0646\u064a \u0644\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0627\u0644\u0645\u062a\u0642\u062f\u0645\u0629&#8221; \u0645\u0646 \u0627\u0644\u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u062b\u0627\u0646\u0648\u064a\u0629 \u0648\u062d\u062a\u0649 \u0627\u0644\u062a\u0639\u0644\u064a\u0645 \u0627\u0644\u062c\u0627\u0645\u0639\u064a. \u062f\u0645\u0634\u0642\u060c \u0633\u0648\u0631\u064a\u0627. \u0627\u0644\u0631\u0642\u0645 \u0627\u0644\u0625\u062c\u0631\u0627\u0626\u064a \u0644\u0644\u0645\u0631\u0633\u0648\u0645: 183 \u0644\u0639\u0627\u0645 2026. \u0627\u0644\u0631\u0627\u0628\u0637 \u0627\u0644\u0625\u0644\u0643\u062a\u0631\u0648\u0646\u064a \u0627\u0644\u0645\u0648\u062b\u0642: <a href=\"https:\/\/sana.sy\">https:\/\/sana.sy<\/a><\/li>\n\n\n\n<li>\u0627\u0644\u0648\u0643\u0627\u0644\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0633\u0648\u0631\u064a\u0629 \u0644\u0644\u0623\u0646\u0628\u0627\u0621 (\u0633\u0627\u0646\u0627). (2026\u060c 12 \u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u0623\u0648\u0644). \u0648\u0632\u0627\u0631\u0629 \u0627\u0644\u0627\u062a\u0635\u0627\u0644\u0627\u062a \u0648\u062a\u0642\u0627\u0646\u0629 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062a\u0628\u062d\u062b \u0645\u0639 \u0634\u0631\u0643\u0629 &#8220;\u062f\u064a\u0644 \u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0632&#8221; (Dell Technologies) \u0627\u0644\u0639\u0627\u0644\u0645\u064a\u0629 \u0633\u0628\u0644 \u062a\u0637\u0648\u064a\u0631 \u0645\u0631\u0627\u0643\u0632 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0648\u0637\u0646\u064a\u0629 \u0648\u0622\u0644\u064a\u0627\u062a \u062a\u0648\u0637\u064a\u0646 \u0646\u0645\u0627\u0630\u062c<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The role of algorithms in building a new Syria, and how artificial intelligence can contribute to the global digital economy.<\/p>\n","protected":false},"author":35,"featured_media":67866,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[179,4853,4674],"tags":[4718],"class_list":["post-67868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-political-office-en","category-research-and-studies-department-en","category-scientific-office-en","tag-articles"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - 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