̽»¨Ö±²¥ of Cambridge - Natasha Morrison /taxonomy/people/natasha-morrison en Women in STEM: Dr Natasha Morrison /research/news/women-in-stem-dr-natasha-morrison <div class="field field-name-field-news-image field-type-image field-label-hidden"><div class="field-items"><div class="field-item even"><img class="cam-scale-with-grid" src="/sites/default/files/styles/content-580x288/public/news/research/news/crop_175.jpg?itok=uOmn-CkN" alt="" title="Credit: None" /></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><strong>I study the structure and properties of networks.</strong> One area of my research concerns the ‘bootstrap percolation process’ which can be thought of as a model of the spread of disease on a network. Mathematical results about this process have impacts on many other disciplines, including physics, computer science and sociology. For example, it has been used to model the way opinions spread through a social network, or model neural networks.</p> <p><strong>Imagine a social network.</strong> ̽»¨Ö±²¥people in this network can be represented by a set of nodes, and if two of the people are close friends, the nodes are connected - this can be represented by a line between the nodes. If some people in this network catch a contagious disease, then this disease may spread throughout the network. ̽»¨Ö±²¥bootstrap percolation process obeys the following rules: a particular set of people are infected initially, and if a person is not infected they are healthy. In this model, once someone is infected they remain infected forever. If a person is connected to at least two infected people, they also become infected. ̽»¨Ö±²¥process stops when it is not possible for anyone new to become infected.</p> <p><strong>I study questions about this process and related processes on a variety of different networks. </strong>I hope my research will lead to progress on a number of exciting and important conjectures in combinatorics, the branch of mathematics I work in. At the end of my fellowship I hope to be able to secure a permanent academic position.</p> <p><strong>I spend a lot of time thinking about mathematical problems.</strong> This generally involves staring at a sheet of paper or a board, and thinking about and discussing them with other mathematicians. Learning about other peoples’ methods and results is also helpful, as perhaps those techniques can be applied to what I am working on. Once we have solved a problem, we then try to write it up in a paper - and this is probably what takes up most of my time. I also do various sorts of teaching and some outreach in schools and in college. My research has also given me the opportunity to travel all over the world. I have been to conferences in a number of exciting locations, including Brazil, France and Israel, and I have been on research visits to work with mathematicians at other institutions.</p> <p><strong>Cambridge is a world-class university for mathematics.</strong> There are so many incredibly intelligent, lovely people in my field here to collaborate with. I really enjoy being part of a college community and I find my colleagues in college incredibly helpful and supportive towards my work.</p> </div></div></div><div class="field field-name-field-content-summary field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><p><a href="https://www.dpmms.cam.ac.uk/~nnm28/index.html">Dr Natasha Morrison</a> is a Research Fellow in mathematics at Sidney Sussex College and a member of the Department of Pure Mathematics and Mathematical Statistics. She completed her PhD at Oxford and her undergraduate studies at Durham. Her research focuses on a branch of mathematics which models the behaviours of networks, from how diseases spread to how viral stories circulate on social media.</p> </p></div></div></div><div class="field field-name-field-cc-attribute-text field-type-text-long field-label-hidden"><div class="field-items"><div class="field-item even"><p><a href="http://creativecommons.org/licenses/by/4.0/" rel="license"><img alt="Creative Commons License" src="https://i.creativecommons.org/l/by/4.0/88x31.png" style="border-width:0" /></a><br /> ̽»¨Ö±²¥text in this work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. Images, including our videos, are Copyright © ̽»¨Ö±²¥ of Cambridge and licensors/contributors as identified.  All rights reserved. We make our image and video content available in a number of ways – as here, on our <a href="/">main website</a> under its <a href="/about-this-site/terms-and-conditions">Terms and conditions</a>, and on a <a href="/about-this-site/connect-with-us">range of channels including social media</a> that permit your use and sharing of our content under their respective Terms.</p> </div></div></div><div class="field field-name-field-show-cc-text field-type-list-boolean field-label-hidden"><div class="field-items"><div class="field-item even">Yes</div></div></div> Thu, 13 Feb 2020 07:00:00 +0000 sc604 211332 at