The collaborative power of AI and citizen science in advancing the Sustainable Development Goals
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-May-2025 03:09 ET (5-May-2025 07:09 GMT/UTC)
Citizen science and artificial intelligence (AI) offer immense potential for tackling urgent sustainability challenges, from health to climate change. Combined, they offer innovative solutions to accelerate progress on the UN Sustainable Development Goals (SDGs). IIASA researchers explored the synergies between citizen science and AI, specifically highlighting how the integration of citizen science data and approaches into AI can enhance sustainable development monitoring and achievement while mitigating AI risks.
Achieving net-zero CO2 emissions is the current main focus of China’s carbon neutrality goal. However, non-CO2 greenhouse gases (GHGs) are more powerful climate forcers, making their emission reduction an opportunity to rapidly mitigate future warming. This study evaluates non-CO2 mitigation potentials, costs and climate benefits in the context of China’s carbon neutrality goals. The findings indicate that mitigation technologies can largely reduce fluorinated gas emissions from industrial sectors, but long-term non-CO2 reductions of energy sector activities rely heavily on fuel switching. Furthermore, the cumulative costs of deploying non-CO2 mitigation technologies are projected to be less than 10% of the total costs of achieving carbon neutrality from 2020 to 2060. If non-CO2 mitigation measures are included in the overall mitigation portfolio, the benefits of avoided warming would by far outweigh the total mitigation cost increase.
Caio Canella Vieira, a researcher for the Arkansas Agricultural Experiment Station and assistant professor of soybean breeding, is leading a new project to develop resilient soybean plants and decrease damages from southern root-knot nematodes. The microscopic worms cause an estimated $160 billion in damages globally each year. Vieira was awarded a $791,000 grant by the National Insitute of Food and Agriculture to develop soybean plants with resistance to the pest as it encrouches northward with climate change.
A new AI image tool could aid the development of algorithms to analyse wildlife images to help improve understanding of how species around the world are responding to climate change, a study suggests.
A new analysis published in the journal Science reveals that overfishing has caused populations of chondrichthyan fishes – sharks, rays, and chimaeras – to decline by more than 50 per cent since 1970. To determine the consequences, a team of researchers developed an aquatic Red List Index (RLI) which shows that the risk of extinction for chondrichthyan has increased by 19 per cent. The study also highlights that the overfishing of the largest species in nearshore and pelagic habitats could eliminate up to 22 per cent of ecological functions.
Chondrichthyans are an ancient and ecologically diverse group of over 1,199 fishes that are increasingly threatened by human activities. Overexploitation by target fisheries and incidental capture (bycatch), compounded by habitat degradation, climate change and pollution, has resulted in over one-third of chondrichthyans facing extinction. Here, the RLI was used to track the status of these species over the past 50-years.
A new study by researchers from the University of Massachusetts Amherst and University of Cincinnati and published in Science has mapped 35 years of river changes on a global scale for the first time. The work has revealed significant effects on both downstream (44% decrease in water flow) and upstream (17% flow increase) rivers, including flooding, ecosystem disruption, hydropower development interference and insufficient fresh water supplies.