Leonardo Milano

@leo_milano_

Predictive Analytics Team Lead at United Nations OCHA Centre for Humanitarian Data . Formerly

Vrijeme pridruživanja: srpanj 2016.

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  1. prije 8 sati

    Different organizations, same challenges around the application of in the humanitarian sector. Great opportunity to engage with the community at the .

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    26. sij

    Only about half of the necessary data is available on some of the world's most pressing humanitarian crises, presenting serious challenges in addressing the needs of the most vulnerable. More in latest report.

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  3. 23. sij

    Humanitarian organizations should join efforts to anticipate and mitigate food crises. Thanks colleagues from for the great discussions over the past two days. The is ready to support anticipatory actions.

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  4. proslijedio/la je Tweet

    Our new report takes a look at the data available and missing across 14 humanitarian operations. Just over 50% of crisis data is available. Let's work together to close data gaps! 💯 ➡️

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  5. 15. sij

    The Centre is confirmed as one of the keynote presentations at the next for Social Good workshop of the ! How can predictive analytics improve humanitarian response? Find out at

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  6. 8. sij

    Interested in using predictive analytics with a focus on humanitarian crises? Check out this great opportunity with .

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  7. proslijedio/la je Tweet
    19. pro 2019.

    All year long, has been working with and partners on innovative solutions for leveraging data in humanitarian responses. More on their successes:

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  8. proslijedio/la je Tweet

    ❇️ Check out our Top 10 Highlights of 2019, a roundup of our work with staff and partners. We look forward to continued collaboration in 2020! 🤝 👉

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    18. pro 2019.
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  10. 4. pro 2019.

    Progress towards the SDGs will be slower, more complicated and more likely to be undermined unless governments identify and commit to measures that reduce displacement risk. It was a pleasure to collaborate with and on this work.

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    One more week to apply: is hiring a Data Scientist to be based with us in The Hague! Deadline is Thursday, 28 November 2019 -->

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  12. 12. stu 2019.

    More collaboration at the technical level is key to develop systems to better anticipate humanitarian crises. We're building a catalogue of models used in humanitarian actions, and we need your help to populate it!

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    . is at this week to discuss , data and modelling for impact-based forecasting. Learn more:

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  14. 12. stu 2019.

    starting now. I'm looking forward to joining the discussion on how the can support the sector entering this new era.

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  15. 1. stu 2019.

    wanted! It's an exciting opportunity to support the 's Predictive Analytics workstream. Apply now and share!

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  16. proslijedio/la je Tweet

    Although challenging, the integration of predictive analytics into humanitarian response has the potential to accelerate assistance to people in need before a situation escalates. It is a challenge we must try to meet together. Get involved:

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    "The UN has data ownership and data silos. What will it take to connect the data?" - : Thank you for the recognition of our work!

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    7. lis 2019.
    Prikaži ovu nit
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  19. proslijedio/la je Tweet

    Great to have demystify predictive analytics at our data literacy training with humanitarian affairs officers. HAOs play a key role in framing questions for models to answer.

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  20. proslijedio/la je Tweet

    Tonight at : Predictive Analytics + the Future of Humanitarian Response! ⬇️ will speak about how climate change will impact humanitarian needs + the role of forecast-based financing.

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