Satellite technology for environmental monitoring: Mining in Bolivia will leverage satellite technology for effective and comprehensive environmental monitoring. This approach allows for real-time data collection over vast mining areas, enabling the identification of potential environmental liabilities. Smart solutions for risk assessment: The integration of intelligent technologies improves the identification and assessment of environmental liabilities associated with mining activities. Using artificial intelligence (AI) and machine learning algorithms, these intelligent solutions can analyze satellite data to identify patterns and anomalies. Government collaboration for regulatory oversight: The success of mining in Bolivia will depend on collaborative efforts between the mining industry and the government. Establishing a strong partnership ensures that satellite and smart technologies are used effectively for regulatory oversight. Real-time environmental impact assessment: A key issue is the ability of mining practices to conduct real-time environmental impact assessments. Traditional methods often involve time-consuming retrospective assessments. Data-driven decision making for sustainable mining: Mining in Bolivia highlights the importance of data-driven decision making for sustainable mining practices. By harnessing the power of satellite data and smart technologies, stakeholders can make informed decisions about land-use planning, resource extraction and environmental conservation.

In the department of Chuquisaca, the UNDP Accelerator Lab has collaborated with the technical team of the Governorate to implement two significant projects that leverage the opportunities of digitization and Artificial Intelligence: The first one concerns the "Digitization of Form 101," an experiment aimed at improving the management and control of income from mining royalties. This project involves transitioning towards the automation of substantive processes in the mining sector within the Governorate. The second project is related to a proposal for the "Georeferenced Mapping of environmental liabilities generated by mining activity." This initiative incorporates the application of Artificial Intelligence algorithms developed by the company BAMBU, which joins as a strategic ally to enhance the management capabilities of the Departmental Government of Chuquisaca. We are convinced that these are powerful technological tools that will enhance the institutional capacities of the governorate, provide timely information for decision-making at technical and strategic levels, improve the delivery of public services related to the mining sector in the department, and facilitate the measurement and evaluation of public policies. Additionally, these projects represent a signal of transparency and the responsible use of information and data.

The satellite identification of mining environmental liabilities (ISPAM) using artificial intelligence algorithms is a crucial tool for addressing this environmental concern. Mining environmental liabilities encompass facilities, effluents, emissions, residues, or waste deposits generated by mining operations, presently abandoned or inactive. These pose a persistent and potential risk to the health of the population, the environment, and the socio-economic development of affected regions. The ISPAM initiative accelerates the identification process more effectively than traditional methods. Artificial intelligence algorithms analyze satellite images to discern patterns indicative of mining environmental liabilities. For instance, these algorithms can pinpoint areas with distinct coloration from the surrounding environment, unique textures, or irregular shapes. Identifying mining environmental liabilities marks the initial step towards their remediation. Once identified, plans can be devised for their cleanup and restoration. While the remediation process is intricate and costly, it is imperative for safeguarding human health, the environment, and economic development. Satellite identification of mining environmental liabilities through artificial intelligence algorithms offers several advantages: - It is faster and more efficient than traditional methods. - It can identify liabilities that are challenging to detect using traditional methods. - It can provide detailed information about the location, size, and nature of the liabilities. - It can generate mitigation and planning plans for health and environmental care. In Bolivia, the satellite identification of mining environmental liabilities with algorithms proves to be a promising tool for addressing this environmental issue. It represents the first national tool crafted by a team of Bolivian engineers. The ISPAM initiative (Satellite Identification of Mining Environmental Liabilities) holds the potential to make a significant difference in protecting human health, the environment, and economic development in Chuquisaca, Bolivia, and the surrounding region.