"Green by Design" focuses on integrating sustainability principles into the core of government technologies and processes, ensuring that every digital solution minimizes environmental impact while maximizing efficiency and innovation. This approach empowers government services to adopt eco-friendly technologies, optimize resource utilization, and reduce carbon footprints, contributing to the UAE’s broader sustainability goals. By embedding sustainability into digital transformation, government functions can become more energy-efficient, reduce waste, and promote the use of renewable resources in operations. This leads to streamlined and environmentally conscious services that align with public expectations for green initiatives. Citizens, residents, and businesses benefit from services that are not only accessible and efficient but also designed with the planet’s well-being in mind. "
How might data intelligence improve the analysis and visualization of procurement data within the Digital Procurement Platform to enable smarter financial decisions and foster greener practices?
The Digital Procurement Platform generates vast amounts of data, but extracting meaningful insights for cost optimization, strategic decision-making, and green procurement remains a challenge. Data intelligence can play a key role in enhancing data analysis, visualization, and forecasting, enabling decision-makers to identify cost-saving opportunities, improve transparency, and adopt responsible procurement practices. https://mof.gov.ae/tableau-geospatial-dashboard-ar/
Ministry of Finance (MoF)
How can Artificial Intelligence (AI) drive the development of innovative telecommunications services while enhancing regulatory decision-making to keep pace with global trends and the evolving digital landscape?
The global telecommunications sector is evolving rapidly, driven by AI, and other emerging technologies such as 5G. These advancements are reshaping the industry, with new market players—beyond traditional telecom providers—developing AI-driven solutions that redefine connectivity, automation, and service delivery. AI is playing a crucial role in optimizing network management, predictive maintenance, customer experiences, and regulatory compliance. Additionally, sectors like AI-driven gaming, and smart cities are placing new demands on telecom infrastructure, requiring adaptive regulations that balance innovation, competition, and security. With AI actively shaping the future of telecommunications, the challenge lies in leveraging AI to develop innovative services and regulatory frameworks that align with global trends and evolving market needs.
TDRA
How can we leverage advanced technologies such as AI and satellite-based remote sensing to monitor and protect mangrove ecosystems, ensuring their survival and sustainability in the UAE?
The UAE Space Agency has been at the forefront of advancing satellite technology, space research, and sustainability-driven innovation. As part of its commitment to leveraging space technology for environmental conservation, this challenge focuses on Abu Dhabi’s mangrove ecosystems, which are essential for coastal protection, carbon sequestration, and biodiversity conservation. Despite their ecological importance, mangroves are increasingly threatened by climate change, rising sea levels, and human activities. Traditional monitoring methods are often limited in scope, time-intensive, and unable to provide real-time insights on ecosystem health and degradation patterns. The open data for the challenge by the UAE Space Agency can be accessed through the GiQ platform (gIQ | home). Participants are required to create an account to access satellite images (hyperspectral/multispectral imaging), which will be used to solve the challenge. Advanced technologies such as AI, satellite-based remote sensing, and GIS present a transformative opportunity to enhance mangrove monitoring, predict environmental risks, and drive data-driven conservation strategies. By analyzing historical trends, assessing current conditions, and forecasting future changes, AI-powered solutions can provide actionable insights to support sustainable ecosystem management. https://giq.ae/
UAE Space Agency
How might we leverage data and modern technologies to measure the environmental impact and carbon emissions of tourism activities while achieving a balance between economic development and environmental preservation?
"The Emirate of Ajman seeks to enhance the sustainability of the tourism sector by adopting responsible and eco-friendly practices. Balancing the growth in tourist numbers with the protection of natural resources presents a significant challenge that requires leveraging big data and smart technologies. Data can play a pivotal role in analyzing the environmental impact of tourism activities, identifying visitor behavior patterns, and proposing innovative solutions to reduce the carbon footprint while enhancing a sustainable tourism experience. As tourism activity increases, the pressure on environmental resources and infrastructure intensifies, necessitating data-driven solutions for sustainable tourism management. However, reliance on environmental and behavioral data in tourism decision-making remains limited, leading to unaccounted impacts on nature and the economy. By analyzing tourist flow data, consumption patterns, and carbon emissions, we can develop strategies that enhance sector sustainability. AI-driven solutions and predictive analytics can provide comprehensive insights and improve tourism planning to ensure resource preservation while achieving economic returns. البيانات المفتوحة عن بيانات الزوار والقطاعي السياحي في موقع دائرة التنمية السياحية. https://ajmantourism.ae/opendata/data-sets البيانات المتوفرة على منصة بيانات.إمارات. https://bayanat.ae/ar-ae خارطة عجمان السياحية باستخدام البيانات. https://data.ajman.ae/pages/tourism/ منصة بيانات عجمان. https://data.ajman.ae/"
Ajman Tourism Development Department
How might we use artificial intelligence to improve material tracking, optimize resource efficiency, and enhance collaboration among stakeholders to accelerate the circular economy?
"The circular economy faces significant challenges in tracking materials, analyzing resource flows, and identifying recycling and reuse opportunities. A major hurdle is the lack of reliable, interconnected data, which limits transparency and coordination across supply chains. The integration of diverse processes—from production to consumption and recycling—remains fragmented, reducing efficiency and slowing progress toward sustainability. Currently, many companies lack the data necessary to fully understand the lifecycle of their products, making material tracking and waste management difficult. Sorting and recycling remain costly and technically complex, often exceeding the expense of traditional waste disposal. Additionally, inadequate infrastructure in many regions further hinders the implementation of circular economy initiatives. Artificial intelligence presents a transformative opportunity by enabling advanced data analysis, predictive modeling, and automation of resource management. AI can enhance decision-making, streamline recycling processes, and improve collaboration among manufacturers, consumers, and recyclers. By leveraging AI-driven insights, the circular economy can become more efficient, cost-effective, and sustainable, accelerating the transition toward a regenerative economic model."
Smart Umm Al Quwain
How might we leverage advanced technologies to revitalize the fishing profession in the UAE by enhancing its sustainability, economic viability, and appeal to younger generations?
"The Ministry of Climate Change and Environment plays a key role in protecting natural resources, ensuring food security, and promoting environmental sustainability. Through strategic policies and partnerships, the ministry aims to balance economic growth with ecological preservation, reinforcing the UAE’s leadership in climate action and sustainable development. Despite its deep cultural and economic significance, the fishing sector in the UAE is facing a decline in interest, particularly among younger generations. Rising operational costs, fluctuating market prices, and traditionally low financial returns have made the profession less attractive. To address these challenges, integrating artificial intelligence and advanced technologies into the sector presents a transformative opportunity. AI-powered solutions can optimize fishing routes, enhance resource management, and improve market efficiency, while automation and smart monitoring systems can reduce operational costs and promote sustainable practices. By leveraging innovation, the fishing profession can be modernized to ensure long-term economic viability and environmental resilience while re-engaging younger generations in this essential industry." "إحصاءات الثروة السمكية – المركز الأحادي للتنافسية والاحصاء https://fcsc.gov.ae/ar-ae/Pages/Statistics/Statistics-by-Subject.aspx#/%3Ffolder=%D8%A7%D9%84%D8%B2%D8%B1%D8%A7%D8%B9%D8%A9%20%D8%A7%D9%84%D8%A8%D9%8A%D8%A6%D8%A9%20%D9%88%D8%A7%D9%84%D8%B7%D8%A7%D9%82%D8%A9/%D8%A7%D9%84%D8%B2%D8%B1%D8%A7%D8%B9%D8%A9/%D8%A7%D9%84%D8%AB%D8%B1%D9%88%D8%A9%20%D8%A7%D9%84%D8%B3%D9%85%D9%83%D9%8A%D8%A9&subject=%D8%A7%D9%84%D8%B2%D8%B1%D8%A7%D8%B9%D8%A9%20%D8%A7%D9%84%D8%A8%D9%8A%D8%A6%D8%A9%20%D9%88%D8%A7%D9%84%D8%B7%D8%A7%D9%82%D8%A9"
