Food security and AI: From data collection to early warning systems

Channel:
Subscribers:
19,700
Published on ● Video Link: https://www.youtube.com/watch?v=s-ySNWF4cJk



Duration: 0:00
418 views
0


Characterizing the socio-economic status of populations and providing reliable, up-to-date estimates of who the most vulnerable are, how many of them there are, where they reside, and why they are vulnerable, is essential for governments and humanitarian organizations to make informed and timely decisions regarding the implementation of humanitarian assistance policies and programs. Anticipatory and preventive actions have been demonstrated to yield significant benefits compared to post-disaster and post-shock aid. It is, therefore, crucial to understand the drivers of food insecurity in a context where extreme weather events play an increasingly significant role in exacerbating already critical situations. The work of WFP’s Hunger Monitoring Unit revolves around collecting reliable food security data, which is then analyzed in conjunction with climate, economic, and conflict data to support early warning systems, including the use of machine learning.\n\nSpeakers:\n\nGiulia Martini\nData Scientist\nUnited Nations World Food Programme (WFP)\nModerator(s):\n\nJoachim Denzler\nProfessor of Computer Vision\nUniversity of Jena\n\nJoin the Neural Network!\nhttps://aiforgood.itu.int/neural-network/\nThe AI for Good networking community platform powered by AI. \nDesigned to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI.\n\n Watch the latest #AIforGood videos!\n\n\n Stay updated and join our weekly AI for Good newsletter:\nhttp://eepurl.com/gI2kJ5\n\nCheck out the latest AI for Good news:\nhttps://aiforgood.itu.int/newsroom/\n\nExplore the AI for Good blog:\nhttps://aiforgood.itu.int/ai-for-good-blog/\n\n Connect on our social media:\nWebsite: https://aiforgood.itu.int/\nTwitter: https://twitter.com/AIforGood\nLinkedIn Page: https://www.linkedin.com/company/26511907 \nLinkedIn Group: https://www.linkedin.com/groups/8567748 \nInstagram: https://www.instagram.com/aiforgood \nFacebook: https://www.facebook.com/AIforGood\n\nWhat is AI for Good?\nWe have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets.\nMore than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals.\nAI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland.\n\nDisclaimer:\nThe views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.




Other Videos By AI for Good


2023-10-24AI/ML Challenge Finale: QoS prediction, Network Traffic Scenario Prediction & SDN Security
2023-10-23Rehabilitation robotics: Advancing physical therapy for improved health outcomes
2023-10-22Unlocking the symphony of birds: Merlin Sound ID
2023-10-18Disrupting hunger with AI
2023-10-18Decoding the human immune system
2023-10-18AI/ML solutions for Climate Change Innovation Factory live pitching session – Part 2
2023-10-18Metaverse + AI: case studies shared for SDG #4 (Quality Education) in lower-income public schools
2023-10-17AI and Suicide Prevention
2023-10-17AI for Fusion Energy Challenge
2023-10-15Next generation cybersecure platforms, enabling the democratization of advanced manufacturing
2023-10-10Food security and AI: From data collection to early warning systems
2023-10-09Computer vision for the next generation of autonomous robots
2023-10-08AI/ML solutions for Climate Change Innovation Factory live pitching session
2023-10-05THE TIME IS NOW | AI for Good Global Summit
2023-10-04AI/ML Challenge Finale: Fault Impact Analysis for 5G using AI/ML
2023-10-04MedPerf, an open benchmarking platform for medical AI
2023-10-03Feeding the future - solving the protein dilemma with the help of AI
2023-10-02AI for patient care: Why, Who, What, When & Where
2023-09-28The robotics revolution in the digital age at EmpoderaLIVE 2023
2023-09-27Building BRICS Artificial Intelligence: Sharing a connected world
2023-09-26Using machine learning to track human development at global scale and high spatial resolution