Conservation X Labs and a global Coalition of Partners is running the Artisanal Mining Grand Challenge. Do you have an innovation that can transform the environmental and social outcomes of this sector? Artisanal and small-scale mining (ASM) is a critical source of livelihood for an estimated 40+ million people worldwide. While ASM generates wealth in developing countries, ASM practices can cause habitat loss, species’ population decline, poor water quality, hydrological changes, and negative human health & livelihood impacts. The Artisanal Mining Grand Challenge is a global competition with over $750,000 in prizes that seeks breakthroughs to improve the current practices of ASM at all points of the mineral supply chains. The challenge has four subcomponents: Prevent, Remediate, Restore: This Sub-Challenge seeks breakthrough innovations that are implemented at ASM sites to prevent, remediate, or restore impacts from ASM on water, hydrology, land, biodiversity, human health, and/or ecosystems. Reform Supply Chains: This Sub-Challenge seeks innovations that significantly reduce the social and environmental costs of commodities sourced through ASM, downstream from the ASM sites. Global Data : This Sub-Challenge seeks solutions that measure the environmental and social impacts of ASM and equip people with tools to improve the environmental and social outcomes of ASM practices. The $100,000 Microsoft Artisanal Mining AI For Earth Award: As part of the Grand Challenge, Microsoft’s AI for Earth initiative is awarding $100,000 for solutions that utilize or deploy artificial intelligence (AI), including machine learning, to address ASM in any of the Sub-Challenge categories. See the Grand Challenge website for more information on how to apply. https://artisanalminingchallenge.com Deadline for applications is March 1, 2020
Taxonomy
- Metals
- Biodiversity
- Phytoremediation
- Bioremediation
- Forest Biodiversity
- Mining Development
- Remediation
- Mine Drainage
- Heavy metals
- Supply Chain Management
- Supply Chain Management
- Remediation
- artificial intelligence
- Blockchain
- Machine Learning