Duccio Piovani
ducciop.bsky.social
Duccio Piovani
@ducciop.bsky.social
Lead Data Scientist - UN | World Food Programme - Early Warning & Forecasting Unit

Climbing the giants’ shoulders one commit at the time
If you want to understand the debate in geology between "fixists" and "drifters", before the acceptance of Plate Tectonics, this is a good place to start 😂
www.youtube.com/watch?v=hC1E...
Alfred Wegener vs. The Fixists (Continental Drift) - Science History Battle Rap
YouTube video by Science With Tom
www.youtube.com
May 31, 2025 at 7:11 AM
We’ve just published our latest work on bioRxiv!

In this study, we present a methodology to estimate inadequate micronutrient intake - a key driver of malnutrition -using food consumption data, socio-economic indicators, and climate variables.

Check it out here 👉 www.biorxiv.org/content/10.1...
Bridging data gaps: predicting inadequate micronutrient intake with machine learning
www.biorxiv.org
April 17, 2025 at 8:40 AM
AI revolution in a graph: coding will never be the same again.
#stackoverflow
March 27, 2025 at 7:41 AM
On the tragic shutdown of USAID humanitarian data streams:

"Humanitarian data loss is just one part of a broader information collapse threatened by the US retreat from its global leadership role, but its consequences are immediate and deadly."
www.thenewhumanitarian.org/opinion/2025...
The data streams that underpin humanitarian response are about to collapse
Famine warning, needs assessments, health data: Humanitarian action will be groping in the dark if vital data sources are allowed to crumble.
www.thenewhumanitarian.org
March 20, 2025 at 6:26 AM
John Jumper’s Nobel lecture is amazing. A great reminder to us practioners on how much pain and failure is behind even the most extraordinary breakthroughs and how many brilliant minds it takes to build every inch of truth. Scientific progress is a painful collective effort ! youtu.be/qX1aYUckvnY
Nobel Prize lecture: John Jumper, Nobel Prize in Chemistry 2024
YouTube video by Nobel Prize
youtu.be
January 7, 2025 at 8:46 AM
Happy to share the latest publication of our team :

www.nature.com/articles/s43...

The methodology we introduce establishes the groundwork for a global, Deep Learning early warning system designed to anticipate and detect food insecurity.
Forecasting trends in food security with real time data - Communications Earth & Environment
Levels of food consumption for the next 60 consecutive days can be forecast for Mali, Nigeria, Syria, and Yemen, using a machine-learning methodology that combines publicly available ecological, socia...
www.nature.com
December 10, 2024 at 11:29 AM