Publication display API.
This one is used to display publications on the home page.

GET /api/organization/section/home/publications?format=api&offset=9860&ordering=-slug
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "name": "AI helps marine scientists track floating debris from space | by Gregory Wicky for EPFL",
            "about": "Researchers are combining AI satellite-image recognition with drift prediction models to improve the collection of plastic debris in the ocean. The technology has passed the proof-of-concept stage and is ready for field testinf.",
            "text": "The ADOPT project is developing AI-based systems to improve the detection and tracking of floating ocean debris, addressing a major challenge in clean-up efforts. Led by EPFL and partners, the project combines satellite data from Sentinel-2 and higher-resolution PlanetScope images to identify large garbage patches such as plastic windrows. A second system uses machine learning with ocean current and wind models to predict debris movement within 24 hours, helping teams plan clean-up operations. Due to limited direct data, GPS drifters are used as proxies for training. While the system performs well overall, it struggles in cloudy conditions because optical sensors cannot penetrate clouds. Although radar integration is a possible future solution, it is not currently pursued. As the project concludes, it leaves a strong proof of concept, with ongoing research and development expected to continue through partner organizations.",
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            "name": "AI Has an Environmental Problem. Here’s What the World Can Do About That.",
            "about": "When it comes to the environment, there is a negative side to the explosion of AI and its associated infrastructure, according to a growing body of research. The proliferating data centres that house AI servers produce electronic waste.",
            "text": "Artificial intelligence (AI) shows promise in addressing environmental crises, such as detecting methane emissions and mapping environmental degradation. However, AI’s rapid growth comes with significant environmental costs. Data centers housing AI consume vast amounts of electricity, often derived from fossil fuels, and require water for cooling, exacerbating water scarcity. They generate electronic waste and depend on rare earth elements, often unsustainably mined. AI systems can also inadvertently contribute to environmental harm, such as increasing emissions through unforeseen applications like self-driving cars or spreading climate misinformation.\n\nThe UN Environment Programme (UNEP) highlights the need for sustainable AI deployment, urging standardized procedures to measure its environmental footprint, regulations for disclosure of environmental impacts, efficiency improvements, and greener data centers powered by renewable energy.",
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            "name": "AI For Good Global Summit 2026 (7-10 July, Geneva, Switzerland)",
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            "text": "The 2026 AI For Good Global Summit aims to identify practical applications of artificial intelligence (AI) to accelerate progress towards the SDGs and connect AI innovators with public and private sector decision makers to help scale AI solutions globally.\r\n\r\nThe International Telecommunication Union (ITU) organizes the AI for Good Global Summit in partnership with 50 UN sister agencies, and co-convenes it with the Government of Switzerland. The Summit is designed to generate ‘AI for Good’ solutions able to be enacted in the near term, guided by its multi-stakeholder and interdisciplinary audience. It also prioritizes networking, experiences, and matchmaking to stimulate collaboration efforts and to ensure trusted, safe, and inclusive development of AI technologies and equitable access to their benefits.",
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            "name": "AI For Good Global Summit 2025 (8–11 July, Geneva, Switzerland)",
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            "text": "The 2025 AI For Good Global Summit aims to identify practical applications of artificial intelligence (AI) to accelerate progress towards the SDGs and connect AI innovators with public and private sector decision makers to help scale AI solutions globally.\r\n\r\nThe International Telecommunication Union (ITU) organizes AI for Good in partnership with 40 UN sister agencies, and co-convenes it with the Government of Switzerland. The Summit is designed to generate ‘AI for Good’ solutions able to be enacted in the near term, guided by its multi-stakeholder and interdisciplinary audience. It also prioritizes networking, experiences, and matchmaking to stimulate collaboration efforts and to ensure trusted, safe, and inclusive development of AI technologies and equitable access to their benefits.\r\n\r\nKey sections:\r\n- AI for Good Global Summit, 8-9 July;\r\n- AI Governance Day; 10 July;\r\n- International AI Standards Summit, 11 July.",
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            "name": "AI for Environmental Monitoring: Benefits, Uses & Innovation | Sand Technologies",
            "about": "As we face increasing environmental challenges, AI-powered environmental monitoring offers a scalable, proactive path toward a more sustainable future.",
            "text": "AI analyzes large volumes of data from sources like satellite images, sensors and drones. With this data, experts can move from reactive observation to proactive intervention and make faster, more informed decisions to protect people and the planet. \n\nEnvironmental AI offers many benefits that help track changes and improve monitoring efforts more efficiently than traditional methods. The following advancements enable experts to act sooner, better resource management and more sustainable solutions:\n- Real-time data collection and analysis.\n- Accurate forecasting and risk mitigation.\n- Increased efficiency in monitoring systems.\n- Scalable solutions to environmental challenges.\n\nUnderstanding our environment without being physically present in every location is no longer out of reach. Environmental AI brings together powerful technologies that collect, analyze, and interpret data from afar.",
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            "created_at": "2025-07-11T11:04:12.279642Z",
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            "name": "AI for Earth and Climate: From understanding processes to effective action | a video by AI for Good",
            "about": "This talk shows how AI transforms Earth and climate sciences by mapping crops, oceans, and air quality, predicting extreme weather, and driving evidence-based policy for global climate resilience.",
            "text": "The video explores how Artificial Intelligence is transforming Earth and climate sciences, empowering us to understand, monitor, and anticipate complex environmental and social phenomena at scale. It highlights AI’s role in mapping crop health, analyzing ocean biogeochemistry, estimating air quality, and predicting extreme weather events. Advances in explainable and causal machine learning help interpret these models, turning data into actionable insights. As climate risks grow, AI supports urban sustainability, tracks human displacement drivers, and measures humanitarian impacts. Combining satellite data, socioeconomic indicators, and causal discovery, the video shows how AI strengthens evidence-based policymaking and our ability to tackle global challenges. It argues that integrating AI with Earth observation and domain expertise is key to resilience and sustainable development.",
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            "slug": "ai-energy-use-new-tools-show-which-model-consumes-the-most-power-and-why-university-of-michigan-post",
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            "name": "AI energy use: New tools show which model consumes the most power, and why | University of Michigan",
            "about": "Software can help developers assess AI model energy use, which is necessary to lower costs and strain on the grid",
            "text": "The researchers measured energy use across several different tasks, including chatting, video and image generation, problem solving and coding. For some tasks, the energy requirements of open-weight models can vary by a factor of 300. With the results, Chowdhury’s team has developed tutorials for developers to learn how to measure and lower the energy costs of their models.\n\nAI users and developers can now measure the amount of electricity various AI models consume to complete tasks with open-source software and an online leaderboard developed at the University of Michigan. Companies can download the software to evaluate private models run on private hardware. And while the software can’t evaluate the energy costs of queries run on proprietary AI models at private data centers, it has allowed U-M engineers to measure the power used by open-weight AI models in which the parameters under the hood are publicly available.",
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            "name": "AI-driven Dispensing of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef | by Scarlett Raine, Benjamin Moshirian, Tobias Fischer for arXiv",
            "about": "https://doi.org/10.48550/arXiv.2509.01019",
            "text": "Coral reefs are on the brink of collapse, with climate change, ocean acidification, and pollution leading to a projected 70–90% loss of coral species within the next decade. Restoration efforts are crucial, but their success hinges on introducing automation to upscale efforts. \r\n\r\nThis paper presents automated deployment of coral re-seeding devices powered by artificial intelligence, computer vision, and robotics. Specifically, automated substrate classification is performed, enabling detection of areas of the seafloor suitable for coral growth, thus significantly reducing reliance on human experts and increasing the range and efficiency of restoration. Real-world testing of the algorithms on the Great Barrier Reef leads to a deployment accuracy of 77.8%, sub-image patch classification accuracy of 89.1%, and real-time model inference at 5.5 frames per second.",
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            "name": "AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies | Sai Teja Erukude and others | Cornell University",
            "about": "This paper analyzes how AI’s dual-use nature is reshaping cybersecurity through deepfakes, adversarial attacks, automated malware, and AI-driven social engineering, highlighting risks and the need for stronger, explainable defenses.",
            "text": "Artificial Intelligence's dual-use nature is revolutionizing the cybersecurity landscape, introducing new threats across four main categories: deepfakes and synthetic media, adversarial AI attacks, automated malware, and AI-powered social engineering. This paper aims to analyze emerging risks, attack mechanisms, and defense shortcomings related to AI in cybersecurity. It introduces a comparative taxonomy connecting AI capabilities with threat modalities and defenses, reviews over 70 academic and industry references, and identifies impactful opportunities for research, such as hybrid detection pipelines and benchmarking frameworks. The paper is structured thematically by threat type, with each section addressing technical context, real-world incidents, legal frameworks, and countermeasures. The findings emphasize the urgency for explainable, interdisciplinary, and regulatory-compliant AI defense systems to maintain trust and security in digital ecosystems.",
            "link_original": "https://www.arxiv.org/abs/2601.03304",
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            "created_at": "2025-10-16T08:12:05.213539Z",
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            "name": "AI Commission launches two strategies to speed up AI uptake in European industry and science | European Commission",
            "about": "The Commission is delivering on its AI Continent Action Plan, setting a course to make Europe a global leader in trustworthy AI. In parallel, the Commission has launched the AI Act Service Desk to help ensure smooth implementation of the AI Act.",
            "text": "The Apply AI Strategy aims to harness AI's transformative potential by driving adoption of AI across strategic and public sectors including healthcare, pharmaceuticals, energy, mobility, manufacturing, construction, agri-food, defence, communications and culture. It will also support small and medium-sized enterprises (SMEs) with their specific needs and help Industries integrate AI into their operations.\n\nThe strategy will help boost EU capabilities to unlock societal benefits, from enabling more accurate healthcare diagnoses to enhancing the efficiency and accessibility of public services. It encourages an AI first policy, so more companies consider AI as a part of the solution to tackle challenges, while taking into careful consideration the benefits and the risks of the technology.\n\nAI in Science Strategy - Strategic actions:\n- Excellence and talent.\n- Compute: €600 million.\n- Research funding: €3 billion.\n- Data: identify data gaps.",
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            "created_at": "2023-11-08T13:23:41.638893Z",
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            "name": "AI and the future of humanity | Yuval Noah Harari at the Frontiers Forum (14 May, 2023)",
            "about": "Yuval Noah Harari explores the influence of AI on culture, its impact on human intimacy, and the necessity of regulation in a Frontiers Forum event in Montreux, Switzerland, on April 29, 2023.",
            "text": "Yuval Noah Harari, a historian and author, discussed the ecological impact of AI and its language manipulation abilities in a speech at the Foreign Correspondents' Club in Japan. Harari emphasized the potential of AI to either exacerbate or alleviate the ecological crisis and the emergence of inorganic life forms. He highlighted that while science fiction scenarios have long entertained the notion of AI as a threat, the recent release of powerful AI tools into the public sphere demands serious consideration, especially concerning AI's ability to manipulate language, which is fundamental to human civilization. Harari urged vigilance in comprehending AI's full implications and closely monitoring its development, given its complex and evolving capabilities.",
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            "slug": "ai-and-deepfakes-supercharge-sophisticated-cyber-attacks-says-cloudflare-by-danny-palmer-for-infosecurity-magazine-post",
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            "name": "AI and Deepfakes Supercharge Sophisticated Cyber-Attacks, Says Cloudflare | by Danny Palmer for Infosecurity Magazine",
            "about": "AI tools and large language models are empowering cybercriminals to launch sophisticated attacks faster and at scale, including phishing, malware, and AI deepfakes, warns Cloudflare’s 2026 Threat Report.",
            "text": "The 2026 Cloudflare Threat Report highlights how AI has become a “force multiplier” for cybercriminals, lowering technical barriers and increasing the impact of attacks. LLMs enable attackers to craft convincing phishing emails, develop malware, map networks in real time, and identify high-value data for supply chain compromises. Malicious actors—including state-sponsored groups, cybercrime gangs, and hacktivists—are leveraging these tools to exploit cloud architectures and corporate identities. \n\nDeepfakes and AI-generated fraudulent IDs are being used to infiltrate organizations directly, turning remote workforces into internal threats. Cloudflare warns that this “industrialization of cyber threats” demands organizations shift from reactive defenses to real-time intelligence, staying ahead of rapidly evolving tactics and vulnerabilities.",
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                "name": "Botswana",
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                "name": "Brunei Darussalam",
                "is_checked": false
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                "name": "Bulgaria",
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                "name": "Canada",
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                "name": "Cayman Islands",
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                "is_checked": false
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                "name": "Chad",
                "is_checked": false
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                "id": 48,
                "name": "Chile",
                "is_checked": false
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                "id": 49,
                "name": "China",
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                "id": 50,
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                "name": "Cocos (Keeling) Islands",
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                "name": "Colombia",
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                "name": "Costa Rica",
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                "name": "Croatia",
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                "id": 59,
                "name": "Cuba",
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                "name": "Cyprus",
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                "name": "Czech Republic",
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                "name": "Côte d'Ivoire",
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                "name": "Dominica",
                "is_checked": false
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                "id": 66,
                "name": "Dominican Republic",
                "is_checked": false
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                "id": 67,
                "name": "Ecuador",
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                "name": "Egypt",
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                "name": "El Salvador",
                "is_checked": false
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                "name": "Equatorial Guinea",
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                "name": "Eritrea",
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                "name": "Estonia",
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                "name": "Eswatini",
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                "name": "Ethiopia",
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                "name": "Faroe Islands",
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                "name": "Fiji",
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                "id": 77,
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                "is_checked": false
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                "name": "France",
                "is_checked": false
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                "name": "French Guiana",
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                "name": "French Polynesia",
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                "name": "French Southern Territories",
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                "id": 85,
                "name": "Germany",
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                "name": "Ghana",
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                "name": "Gibraltar",
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                "name": "Greece",
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                "id": 90,
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                "name": "Hong Kong",
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                "name": "Hungary",
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                "name": "Ireland",
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                "name": "Marshall Islands",
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                "name": "Martinique",
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                "id": 143,
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                "name": "Mayotte",
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                "name": "Micronesia (Federated States of)",
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                "name": "Mongolia",
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                "name": "Montenegro",
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                "name": "Montserrat",
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                "name": "New Zealand",
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                "name": "Nicaragua",
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                "name": "Niger",
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                "name": "Norway",
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                "name": "Oman",
                "is_checked": false
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                "name": "Pakistan",
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                "name": "Palau",
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                "id": 172,
                "name": "Palestine, State of",
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                "name": "Panama",
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                "name": "Papua New Guinea",
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                "id": 175,
                "name": "Paraguay",
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                "id": 176,
                "name": "Peru",
                "is_checked": false
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                "name": "Philippines",
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                "name": "Pitcairn",
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                "name": "Poland",
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                "name": "Puerto Rico",
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                "name": "Qatar",
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                "id": 185,
                "name": "Romania",
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                "name": "Russian Federation",
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                "name": "Rwanda",
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                "name": "Réunion",
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                "name": "Saudi Arabia",
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                "name": "Senegal",
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                "name": "Serbia",
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                "name": "Seychelles",
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                "name": "Singapore",
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                "id": 205,
                "name": "Slovakia",
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                "id": 206,
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                "name": "Solomon Islands",
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                "name": "Somalia",
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                "name": "South Sudan",
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                "name": "Suriname",
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                "name": "Switzerland",
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                "name": "Tonga",
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