Federica Gazzelloni® (she/her)

Synthetic Data & AI Training | AI Audit, Ethics & Explainability | Human–AI Systems Founder @ DataMetricus | IHME GBD | Author 📘

[Federica Gazzelloni® (she/her) @FGazzelloni]

Here we are 👉🗺️ the final day of #30DayMapChallenge 2025 💛
30 maps, 30 ideas — exploring data, design, projections, rasters, OSM layers, insets, palettes & reproducible R workflows.
Improved something new every day. 💛

#RStats #GIS #DataViz #Geospatial #Quarto

[Federica Gazzelloni® (she/her) @FGazzelloni]

📚 New issue — Notes on Data and Learning N.24

Learning R isn't just memorizing functions. With AI automating code, the crucial skill is understanding workflows — how data, code, docs, and decisions connect.

Read: https://t.co/6E5ffM5ymX

#RStats #DataScience #AI

[Federica Gazzelloni® (she/her) @FGazzelloni]

New issue out ✍️

Notes on Data and Learning — N.23
When Priorities Choose Themselves

This week was supposed to be about organization.
Continue Reading: https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

📢 Upcoming R-Ladies Rome Workshop
From Data Analysis to Publication: Reproducible Research with R and Quarto

🎙️ With Betsabé Cohen & Jesica Formoso (R-Ladies+ Buenos Aires)

📅 Registration: https://t.co/0PXNXMcDpH

#RLadiesRome #RStats #QuartoPub #ReproducibleResearch

[Federica Gazzelloni® (she/her) @FGazzelloni]

In this week’s issue, I reflect on memory, judgment, programming education,.

Read the full issue : https://t.co/GCgcdLh7Yx

#RStats #DataScience #ArtificialIntelligence #Programming #Education #Teaching #Learning #ComputationalThinking #Statistics #NotesOnDataAndLearning #AI

[Federica Gazzelloni® (she/her) @FGazzelloni]

New issue published.
Notes on Data and Learning — N.20
Learning Structure: Notes, Graphs, and the Coordination of Uncertainty
This week I wrote about Obsidian and Ebola. How much structure is enough to preserve reasoning without creating noise?

Read More: https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

New issue of Notes on Data and Learning published:
N.19 — The Geometry of Coordination

This week’s reflection started from an unexpected place: the strange way ideas continue moving after a project is technically “finished.”

Continue Reading https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

🦠 Questa Domenica terrò un incontro online in italiano su Hantavirus, epidemiologia e diffusione delle infezioni negli ambienti chiusi e connessi.

🎁 Giveaway di 1–2 copie del mio libro.
🔗 https://t.co/7n5LYXV7YM

📅 Domenica
🕡 17:00
💻 Online

#Hantavirus #SalutePubblica

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack published: Your Script Is Not a Workflow

The problem often appears only later, when the session is restarted and the analysis depends on objects, steps, or assumptions that were never made explicit.

👉 Read the full issue here: https://t.co/QD7ImpAMMO

[Federica Gazzelloni® (she/her) @FGazzelloni]

New issue published:

Notes on Data and Learning — N.18
From Workflows to Coordination: The Power of Direct Access

AI responds to structure.
Humans respond to meaning, emotion, timing, and willingness.

Read More: https://t.co/6E5ffM5ymX

#AI #MCP #LLM #AgenticAI #HumanAI

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack published: Stop rewriting the same code

A lot of R workflows don’t become difficult because they are complex. AI makes it easy to generate code.

It also makes it easy to repeat the same logic over and over.

👉 https://t.co/anN3MEULrX

#rstats

[Federica Gazzelloni® (she/her) @FGazzelloni]

Issue N.17 — Learning Control

Getting a system to work is not the hard part.
Keeping it under control as conditions change is.

AI follows instructions.
Humans don’t always.

→ https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack: Start learning R faster

Most people try to learn everything at once.
That’s where it slows down.

Start with one workflow.
Repeat it.
Build from there.

👉 https://t.co/fZis6oOjXm

#rstats #DataScience

[Federica Gazzelloni® (she/her) @FGazzelloni]

Issue N.16 — From Prompts to Context

Same prompt. Different outputs.
The difference was context.

AI is shifting from prompt design → context design.

Read → https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

🔥 Reminder: our next @RLadiesRome session is coming up
“The Roots of AI: NLP and N-gram Models in R”

We’ll build a next-word prediction model from scratch
Data → counts → probabilities → prediction

See you there 👇 https://t.co/xRl5JTwypU

[Federica Gazzelloni® (she/her) @FGazzelloni]

Issue N.15 — Learning to Prioritise

Working more ≠ progressing more.
The real constraint is attention, not time.

Starting is easy.
Staying with one task long enough to make it coherent is not.

Read → https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack: Stop guessing why your code breaks

Most people don’t debug.
They regenerate.

Small shift:
break the pipeline → find the failure

Read:
👉 https://t.co/fZis6oOjXm

#rstats #datascience #AI

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack: Validate AI-Generated Data Before Using It

AI can generate datasets in seconds, but they aren’t ready to use. Simple habit: validating AI-generated data before analysis.

👉 Read the full issue here: https://t.co/anN3MEULrX

More R-Hacks soon.

[Federica Gazzelloni® (she/her) @FGazzelloni]

📘 Issue N.14 is out
Learning Structure: From JSON to Video Tutorials
Working with automation this week.

Even when AI helps generate JSON, understanding it remains essential.

👉 Full issue here: https://t.co/6E5ffM5ymX

[Federica Gazzelloni® (she/her) @FGazzelloni]

New R-Hack published: n-grams in R — a small idea behind language models

Ahead of our next R-Ladies Rome session, this short post gives the intuition.

Read:
👉https://t.co/fZis6oOjXm

Join:
👉 https://t.co/xRl5JTwypU

#rstats #datascience #NLP #MachineLearning #AI