📢 FDS–DiSIA Seminar

Peter McCullagh (University of Chicago)
Statistics of speciation and the evolution of reproductive isolation

🗓 Jan 30, 2026 | 11:00
📍 DiSIA, Room 205 (Univ. of Florence)

In person, open to all.
#Statistics #DataScience

Thank you, 2025, for all the models that were perfect on training data and then failed spectacularly. Overfitting keeps us humble. Also, thank you for making “it depends” the correct answer more often than not. In 2026, may we at least know WHAT it depends on. 🥳 #datascience

This is related to a private conversation I had recently.

IMO, if you want to use Bayesian statistics in your professional work, either (a) work through at least one Bayesian textbook yourself or (b) collaborate with someone who has already done that work themselves.

Take your data seriously.

On 23 Oct 2025 we welcomed colleagues from OsloMet to the Florence Center for Data Science. Many thanks for a stimulating day of discussion — we look forward to future collaboration. Photo: lunch with the FDS Think Tank. #AcademicCollab #DataScience

🚀 MD2SL — 2nd Level Master in Data Science & Statistical Learning
• 1 year (English) | 67 ECTS | 225-hr internship
• Bootcamp, core & elective courses, practical training
Start: 28/01/2026 — Apply by 14/11/2025
More info: www.md2sl.unifi.it
#DataScience #Statistics #MachineLearning #Florence

𝐂𝐚𝐥𝐥𝐟𝐨𝐫𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝐍𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐏𝐡𝐃𝐢𝐧𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 – 𝐀𝐈 & 𝗦𝗼𝗰𝗶𝗲𝘁𝘆 (𝟐𝟎𝟐𝟓-𝟐𝟎𝟐𝟖)
Apply to the Italian National PhD Program in Artificial Intelligence – AI & Society.
🔗𝗔𝗹𝗹𝗶𝗻𝗳𝗼 𝗵𝗲𝗿𝗲: phd-ai-society.di.unipi.it/applications/
🗓️𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞: 18 July 2025, 13:00 (Italian time)

We're excited to announce the conference: "Frontiers in Data Science: A Celebration of Bianca De Stavola’s Emerit Professorship"!
Big thank you to @fondazionecrfirenze and DiSIA ReDS (Univ of Florence) for their generous support in making this event possible. datascience.unifi.it/index.php/wo...

📊 Join us for the next InterConnect Webinar! ⏰ 7th April 2025 at 2:30pm (CEST)
Speaker: Tom Bartlett (UCL)
Title: Using stochastic network theory to inform unsupervised learning from single-cell genomic count data.
Register now: events.teams.microsoft.com/event/ef63d4... #DataScience

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