biology

Paulien Hogeweg

Paulien Hogeweg is a biology 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 Paulien Hogeweg rather than just read about it. In short: Paulien Hogeweg (born 1943) is a Dutch theoretical biologist and complex systems researcher studying biological systems as dynamic information processing systems at many interconnected levels. In 1970, together with Ben Hesper, she defined the term bioinformatics as "the study of informatic processes in biotic systems".

Key takeaways

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Reproduce the core statement of Paulien Hogeweg from memory before moving on to harder problems.

Reference excerpt

Paulien Hogeweg (born 1943) is a Dutch theoretical biologist and complex systems researcher studying biological systems as dynamic information processing systems at many interconnected levels. In 1970, together with Ben Hesper, she defined the term bioinformatics as "the study of informatic processes in biotic systems".

Early life and education Born in Amsterdam, the Netherlands, Hogeweg graduated with a master's degree from the University of Amsterdam in 1969. In her last year as Biology Masters Student, Hogeweg published her studies on water plants titled Structure of aquatic vegetation: a comparison of aquatic vegetation in India, the Netherlands and Czechoslovakia. While volunteering at Leiden University, Hogeweg started her study as a Ph.D. student at Utrecht University. She published seven articles based on her Ph.D. work. She graduated from Utrecht University in 1976. The title of her thesis is "Topics in Biological Pattern Analysis", which addressed pattern formation and pattern recognition in biology.

Career After graduating with a Masters in biology she went to volunteer at a Lab at Leiden University. It was when volunteering at Leiden University that she met Hesper and coined the term Bioinformatics, which she defines as:"the study of information processes in biotic systems." In 1977, Hogeweg opened a research lab dedicated to bioinformatics with Ben Hesper. In 1990, Hogeweg published an important paper in the field of pre-biotic study: Spiral wave structure in pre-biotic evolution hypercycle stable against parasites. In 1991, Hogeweg became a full professor of Theoretical Biology at Utrecht University (UU). Since 2008, Hogeweg has been an Honorary professor at UU. Hogeweg has participated as an editor board member for Journal Theoretical Biology, Bulletin Mathematical Biology, Biosystems, Artificial Life Journal, and Ecological Informatics. In 2025, Hogeweg has been elected as EMBO member in recognition of her outstanding scientific achievements as a pioneer in bioinformatics and theoretical biology.

Research Starting with asynchronous extensions of L-systems she pioneered agent-based modeling studying development of social structure in animal societies, using the opportunity based "ToDo" principle where agents "do what there is to do", and a "DoDom" principle for dominance ranking, also known as the winner-loser effect. This type of research later became popular in artificial life. When the first biological sequence data became available (from the EMBL) she developed a tree based algorithm for multiple sequence alignment. which is now common practice in sequence alignment and phylogeny. At about the same time she pioneered folding algorithms for predicting RNA secondary structures. RNA folding was also introduced to allow for a non-linear genotype to phenotype mapping to study evolution on complex fitness landscapes . The first phase-phase trajectory of a chaotic attractor in an ecological food-chain model of three differential equations appeared long before chaos became popular. She pioneered the use of cellular automata for studying spatial ecological and evolutionary processes and demonstrated that spatial pattern formation can revert evolutionary selection pressures. Extending the Cellular Potts model (CPM) to study morphogenesis and development she modeled the complete life cycle of Dictyostelium discoideum using simple rules for chemotaxis and differential adhesion . This CPM approach is now used for modeling in various areas of developmental biology, and the migration of immune cells in lymphoid tissues. Finally the CPM is used for EvoDevo research. In recent years, Hogeweg has continued her research on co-evolutionary dynamics and morphogenesis, to expand on "adaptive genomics" and to study the interface between gene regulation and evolution in cellular organisms. Also, her research is focused on evolvability at the level of genome organization and regulatory networks, and has shown RNA increase in complexity as the result of interactions of secondary structure and spatial pattern formation.

Collaborations Hogeweg has participated in diverse research groups in biological science. Her contribution varies from developing computational methods such as algorithm for tree based multiple sequence alignment which has become a standard practice. Most importantly, her work has greatly contributed to bioinformatics theory.

References

External links Official website Theoretical Biology and Bioinformatics Group, Utrecht University

Worked examples

Example 1 — a first encounter with Paulien Hogeweg

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

In research: Paulien Hogeweg appears in biology 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 Paulien Hogeweg 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: Paulien Hogeweg is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1943 births, 21st-century Dutch biologists, Dutch women scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Paulien Hogeweg 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 Paulien Hogeweg in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Paulien Hogeweg means in your own words.
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Work through the three examples above with pen and paper.
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Frequently asked questions

What is Paulien Hogeweg in simple terms?

Why does Paulien Hogeweg matter?

Because it connects several biology 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 Paulien Hogeweg?

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 Paulien Hogeweg.