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astronomy

Victoria Stodden

Victoria Stodden is a astronomy 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 Victoria Stodden rather than just read about it. In short: Victoria Stodden is a statistician, associate professor of information sciences, and affiliate professor of statistics at the University of Southern California. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law degree and a Ph.D. in statistics from Stanford University.

Key takeaways

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

Reference excerpt

Victoria Stodden is a statistician, associate professor of information sciences, and affiliate professor of statistics at the University of Southern California. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law degree and a Ph.D. in statistics from Stanford University.

Work Stodden's work focuses on facilitating the reproducibility of research, specifically in computational sciences. She is the founder of "Reproducible Research Standard" and the website ResearchCompendia.org, which was announced in 2015 to enable public verification of research and methods but went defunct in 2016. In 2020, Stodden proposed a set of guidelines for researchers working in data science, including the role of reproducible research. Her current focus lies in scientific research incentives, having said: "A big part of the work I am doing concerns the scientific reward structure. For example, my work on the Reproducible Research Standard is an effort to realign the intellectual property rules scientists are subject to, to be closer to our scientific norms." Emails released by the Department of Justice show that between 2009 and 2011, Stodden and Jeffrey Epstein maintained what appears to be a close, often flirtatious relationship.

Publications "Four Simple Recommendations to Encourage Best Practices in Research Software," Jiminez et al., F1000Research 2017, 6:876 (doi: 10.12688/f1000research.11407.1), June 13, 2017. "Fostering Integrity in Research" Committee Members, National Academies Report, April 11, 2017. Privacy, Big Data, and the Public Good: Frameworks for Engagement, Lane, J., Stodden, V., Bender, S., and Nissenbaum, H. (eds). 2014. "Reproducibility and replicability of rodent phenotyping in preclinical studies," Kafkafi et al, bioarxiv, 2016. "Facilitating Reproducibility in Scientific Computing: Principles and Practice," David H. Bailey, Jonathan M. Borwein and Victoria Stodden, in Harald Atmanspacher and Sabine Maasen, eds, Reproducibility: Principles, Problems, Practices, John Wiley and Sons, New York, 2016.

References

External links official page

Worked examples

Example 1 — a first encounter with Victoria Stodden

Start with the simplest possible case. Write down what Victoria Stodden claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Victoria Stodden 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 Victoria Stodden 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 Victoria Stodden

In research
Victoria Stodden appears in astronomy 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 Victoria Stodden 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
Victoria Stodden is common in secondary-school and first-year university syllabi. It links to neighbouring topics American statisticians, Berkman Fellows, Data scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Victoria Stodden 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.

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How to study Victoria Stodden in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Victoria Stodden 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 Victoria Stodden out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Victoria Stodden in simple terms?

Victoria Stodden is a statistician, associate professor of information sciences, and affiliate professor of statistics at the University of Southern California. She earned a B.A. in economics from the University of Ottawa, an MS in economics from the University of British Columbia, and both her law…

Why does Victoria Stodden matter?

Because it connects several astronomy 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 Victoria Stodden?

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 Victoria Stodden.

Tags

  • American statisticians
  • Berkman Fellows
  • Data scientists
  • Living people
  • Stanford Law School alumni
  • Stanford University alumni
  • University of British Columbia alumni
  • University of Ottawa alumni
  • Women data scientists
  • Women statisticians

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