astronomy

Tobias Preis

Tobias Preis 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 Tobias Preis rather than just read about it. In short: Tobias Preis is Professor of Behavioral Science and Finance at Warwick Business School and a fellow of the Alan Turing Institute. He is a computational social scientist focussing on measuring and predicting human behavior with online data.

Key takeaways

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

Reference excerpt

Tobias Preis is Professor of Behavioral Science and Finance at Warwick Business School and a fellow of the Alan Turing Institute. He is a computational social scientist focussing on measuring and predicting human behavior with online data. At Warwick Business School he directs the Data Science Lab together with his colleague Suzy Moat. Preis holds visiting positions at Boston University and University College London. In 2011, he worked as a senior research fellow with H. Eugene Stanley at Boston University and with Dirk Helbing at ETH Zurich. In 2009, he was named a member of the Gutenberg Academy. In 2007, he founded Artemis Capital Asset Management GmbH, a proprietary trading firm which is based in Germany. He was awarded a PhD in physics from the Johannes Gutenberg University of Mainz in Germany. Preis has quantified and modelled financial market fluctuations. In addition, he has made contributions to general-purpose computing on graphics processing units (GPGPU) in statistical physics and computational finance.

Research In 2010, Preis headed a research team which provided evidence that search engine query data and stock market fluctuations are correlated. The team discovered a link between the number of Internet searches for company names and transaction volumes of the corresponding stocks on a weekly time scale. In a TEDx talk, Preis highlights the opportunities offered by studies of citizens' online behaviour to gain insights into socio and economic decision making. In 2012, Preis used Google Trends data to demonstrate together with his colleagues Suzy Moat, H. Eugene Stanley and Steven R. Bishop that Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past. The findings, published in the journal Scientific Reports, suggest there may be a link between online behaviour and real-world economic indicators. Preis and colleagues examined Google search queries made by Internet users in 45 countries in 2010 and calculated the ratio of the volume of searches for the coming year (2011) to the volume of searches for the previous year (2009), which they call the Future Orientation Index. A comparison of the Future Orientation Index to the per capita GDP of each country revealed a strong tendency for countries in which Google users enquire more about the future to exhibit a higher GDP. Preis and colleagues conclude from this study that a relationship potentially exists between the economic success of a country and the information-seeking behaviour of its citizens online. In 2013, Preis and his colleagues Moat and Stanley introduced a method to identify online precursors for stock market moves, using trading strategies based on search volume data provided by Google Trends. Their analysis of Google search volume for 98 terms of varying financial relevance, published in Scientific Reports, suggests that increases in search volume for financially relevant search terms tend to precede large losses in financial markets. Similarly, in a study also published in Scientific Reports in 2013, Moat, Preis and colleagues demonstrated a link between changes in the number of views of Wikipedia articles relating to financial topics and subsequent large stock market moves. In 2015, Preis and his colleague Moat designed and delivered a massive open online course (MOOC) on big data. The course focuses on measuring and predicting human behavior. Preis is an academic editor of PLoS ONE.

Illustrations

Worked examples

Example 1 — a first encounter with Tobias Preis

Start with the simplest possible case. Write down what Tobias Preis 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 Tobias Preis 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 Tobias Preis 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 Tobias Preis

In research: Tobias Preis 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 Tobias Preis 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: Tobias Preis is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1981 births, 21st-century German scientists, Academics of the University of Warwick, so understanding it makes those chapters shorter.
In everyday life: Look for Tobias Preis 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 Tobias Preis in 20 minutes

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

Frequently asked questions

What is Tobias Preis in simple terms?

Why does Tobias Preis 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 Tobias Preis?

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 Tobias Preis.