ArticleslgStudy

computer science

Juliana Freire

Juliana Freire is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Juliana Freire rather than just read about it. In short: Juliana Freire de Lima e Silva is a Brazilian computer scientist who works as a professor of computer science and engineering at the New York University. She is known for her research in information visualization, data provenance, and computerized assistance for scientific reproducibility.

Key takeaways

  • Juliana Freire belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Juliana Freire to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Juliana Freire from memory before moving on to harder problems.

Reference excerpt

Juliana Freire de Lima e Silva is a Brazilian computer scientist who works as a professor of computer science and engineering at the New York University. She is known for her research in information visualization, data provenance, and computerized assistance for scientific reproducibility.

Education and career Freire did her undergraduate studies at the Federal University of Ceará in Brazil, and earned her doctorate from Stony Brook University. Prior to joining NYU-Poly in 2011, she was a researcher at Bell Laboratories, and a faculty member at the Oregon Health & Science University and the University of Utah. Freire was the program co-chair of the WWW2010 conference.

Research Freire's research projects include the VisTrails scientific workflow management system, and the DeepPeep search engine for web database content.

Recognition In 2014, Freire was elected as a Fellow of the Association for Computing Machinery "for contributions to provenance management research and technology, and computational reproducibility." She was named to the 2021 class of Fellows of the American Association for the Advancement of Science.

References

External links Home page Google scholar profile

Worked examples

Example 1 — a first encounter with Juliana Freire

Start with the simplest possible case. Write down what Juliana Freire claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Juliana Freire before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Juliana Freire ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Juliana Freire

In research
Juliana Freire appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Juliana Freire in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Juliana Freire is common in secondary-school and first-year university syllabi. It links to neighbouring topics American computer scientists, Brazilian academic biography stubs, Brazilian computer scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Juliana Freire outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Juliana Freire” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Juliana Freire in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Juliana Freire means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Juliana Freire out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Juliana Freire in simple terms?

Juliana Freire de Lima e Silva is a Brazilian computer scientist who works as a professor of computer science and engineering at the New York University. She is known for her research in information visualization, data provenance, and computerized assistance for scientific reproducibility.

Why does Juliana Freire matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Juliana Freire?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Juliana Freire.

Tags

  • American computer scientists
  • Brazilian academic biography stubs
  • Brazilian computer scientists
  • Brazilian women computer scientists
  • Computer graphics researchers
  • Data and information visualization experts
  • Federal University of Ceará alumni
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the Association for Computing Machinery
  • Living people
  • New York University faculty
  • Oregon Health & Science University faculty

Keep exploring