mathematics

Olle Häggström

Olle Häggström is a mathematics 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 Olle Häggström rather than just read about it. In short: Olle Häggström (born 4 October 1967) is a professor of mathematical statistics at Chalmers University of Technology. Häggström earned his doctorate in 1994 at Chalmers University of Technology with Jeffrey Steif as supervisor.

Key takeaways

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

Reference excerpt

Olle Häggström (born 4 October 1967) is a professor of mathematical statistics at Chalmers University of Technology. Häggström earned his doctorate in 1994 at Chalmers University of Technology with Jeffrey Steif as supervisor. He became an associate professor in the same university in 1997, and professor of mathematical statistics at University of Gothenburg in 2000. In 2002 he was back at Chalmers University of Technology as professor. He mainly researches on probability theory such as Markov chains, percolation theory and other models in statistical mechanics.

Awards and honors Olle Häggström has received a number of awards and prizes. These include:

2004 – Elected member 1506 of the Royal Swedish Academy of Sciences, in the Mathematics class. 2005 – Awarded the Rollo Davidson Prize. 2006 – Elected member of Royal Society of Arts and Sciences in Gothenburg. 2010 – Elected member 1581 of the Royal Swedish Academy of Engineering Sciences (IVA), in the 7:th division: VII Basic and Interdisciplinary Engineering Sciences.

Here Be Dragons In 2016, Häggström published (via Oxford University Press) Here Be Dragons: Science, Technology and the Future of Humanity, an attempt to draft a road map of potential dangers that could be associated with various emerging technologies: "There is no denying that advances in science and technology have brought us prosperity and improved our lives tremendously... but there is a flip side: some of the advances that may lie ahead of us can actually make us worse off." On human enhancement, Häggström argues that any enhancement, from growth hormones to cognitive enhancement, can encourage an "arms race" in which everyone is compelled to participate for fear of falling behind: "It is hard to imagine the US silently sitting still and watching a cognitive enhancement development that can turn China into the world’s military overlords." On geoengineering, Häggström discusses a proposed form of geoengineering that involves continuously pumping sulphur dioxide into the atmosphere to counteract global warming, and warns this could create a catastrophic risk of a massive temperature spike if a future generation were unable to continue pumping. On nanotechnology, Häggström discusses concerns about self-replicating nanobots, as well as the potential for emerging manufacturing technologies to undo existing gun control measures and to radically upscale the quantities of existing weaponry, and to create destabilizing new classes of weapons. Other topics include existential risks from high-energy physics experiments, as well as from advanced artificial intelligence: Häggström poses a scenario in which a superintelligent computer, aiming to maximise happiness in the universe, calculates that sentient beings are happy less than half the time, and proceeds to exterminate all sentient life, in order to increase the existing sum of happiness a negative number to zero. Häggström also discusses SETI, criticizing "inexcusably reckless" attempts to communicate with aliens. In a positive review in New Scientist, a reviewer raises the question: "What if extraterrestrial advice could have saved us from some other danger, and we doomed civilisation by not asking?" and cautions there are "no easy answers" to these questions.

Illustrations

Worked examples

Example 1 — a first encounter with Olle Häggström

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

In research: Olle Häggström appears in mathematics 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 Olle Häggström 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: Olle Häggström is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1967 births, 20th-century Swedish statisticians, 21st-century Swedish mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Olle Häggström 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 Olle Häggström in 20 minutes

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

Frequently asked questions

What is Olle Häggström in simple terms?

Why does Olle Häggström matter?

Because it connects several mathematics 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 Olle Häggström?

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 Olle Häggström.