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Merge pull request #1124 from explorable-viz/MPhil-PartIII-projects
Add MPhil/Part III project options (to go live 16 Oct)
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<!DOCTYPE html> | ||
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<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<meta http-equiv="X-UA-Compatible" content="ie=edge"> | ||
<title>Fluid: Data-Linked Visualisations</title> | ||
<script src="https://use.fontawesome.com/1091715d00.js"></script> | ||
<link href="/css/styles.css" rel="stylesheet" type="text/css"> | ||
<link href="/css/simplegrid.css" rel="stylesheet" type="text/css"> | ||
<link href="/css/data-viz.css" rel="stylesheet" type="text/css"> | ||
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<body> | ||
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<div class="grid grid-pad"> | ||
<div class="col-3-12 align-right"> | ||
<img src="https://i.ibb.co/bFjzrXR/Untitled.jpg" width="80%"> | ||
<img src="https://i.ibb.co/zNqHKg7/University-of-Bristol-logo.png" width="80%"> | ||
<img src="https://dorchard.github.io/images/iccs-full-logo.png" alt="ICCS logo" width="80%"> | ||
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<div class="col-9-12"> | ||
<nav> | ||
<ul> | ||
<li> | ||
<a href="." class="active-page">Latest</a> | ||
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<li> | ||
<a href="https://f.luid.org/0.3.1">v0.3.1</a> | ||
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</nav><br> | ||
<p><a href="https://github.com/explorable-viz/fluid">GitHub</a> · | ||
<a href="https://dl.acm.org/doi/10.1145/3498668">POPL 2022 paper</a> · | ||
<a href="https://www.youtube.com/watch?v=M_ePrtD9axk">POPL 2022 talk</a> · | ||
<a href="https://www.youtube.com/watch?v=2-S6yVyzypU">PROPL 2024 talk</a> · | ||
<a href="https://www.youtube.com/watch?v=F3JaftEnFfM">ICCS Summer School</a> | ||
<h2>Fluid: A Programming Language for Transparent, Self-Explanatory Research Outputs</h2> | ||
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<div id="FLUID" class="grid grid-pad"> | ||
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<h3 class="title lowercase">Cambridge MPhil/Part III 2024-25 Projects</h3> | ||
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<p>Fluid is an exciting opportunity to work on new programming language foundations designed to make | ||
data science more open, intelligible and accessible. If you are a University of Cambridge MPhil or Part | ||
III student in Computer Science looking for a project this October, and would like to discuss the | ||
possibility of working on Fluid, please contact <a href="roly.perera@cl.cam.ac.uk">Dr Roly Perera</a>, | ||
Early Career Advanced Fellow, Institute of Computing for Climate Science, University of Cambridge.</p> | ||
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<h4>Project description</h4> | ||
<p>Charts and other visual summaries, curated by journalists and scientists from real-world data and | ||
simulations, are how we understand our changing world and the anthopogenic sources of that change. But | ||
the visual artifacts we are actually presented with are opaque: any relationship to the underlying data | ||
is lost. How can we expect to understand, critique or evaluate claims based on a bitmap? This is | ||
challenging enough for an expert with access to the source code and data used to derive the outputs; for | ||
a non-expert the prospects are even worse. | ||
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<a href="f.luid.org">Fluid</a> is a new “transparent” programming language, being developed at the | ||
Institute of Computing for Climate Science in Cambridge in collaboration with University of Bristol, | ||
that makes it easy to create charts and figures which are linked to data, enabling a user to | ||
interactively discover what visual elements actually represent. The key idea is to incorporating a | ||
bidirectional dynamic dependency analysis into the language runtime, allowing it to track dependencies | ||
that arise as as outputs (such as charts and tables) are computed from data. It uses this information to | ||
automatically enrich rendered output with interactions that allow a reader to explore the relationship | ||
to data directly through the artefact, by selecting visual features of interest. Fluid uses so-called | ||
“program slicing” techniques based on Galois connections, a neat mathematical abstraction which | ||
characterises exactly the relationship between sets of inputs and sets of outputs which depend on | ||
them.</p> | ||
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<p>The live demos on the website show the interactive queries we currently support, but these only | ||
scratch the surface of what this kind of infrastructure makes possible. There are many opportunities for | ||
an imaginative and technically strong student to help move this idea forward. Your project could go in a | ||
number of directions, depending on whether your interests lie more towards programming languages, formal | ||
methods or data science. A programming languages project would extend Fluid into a literate programming | ||
tool, by adding Markdown support and the ability to embed computational content via a Lisp-style | ||
backquote mechanism. A more mathematical project might add multidimensional arrays to the language, | ||
along with various array operations inspired by linear algebra and an extension of the dependency | ||
analysis to these new operations. A project focused more around science communication would use Fluid to | ||
adapt a piece of real-world climate science into a “long-form” essay or interactive explanation intended | ||
for a non-specialist audience. (See <a href="https://distill.pub">distill.pub</a> for some | ||
examples.)</p> | ||
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<p>If you think this sounds interesting, please get in touch and we can arrange an initial meeting. | ||
Whatever form your project takes, we would aim for your work to be incorporated into our main | ||
development codebase, and so would form a genuine contribution to a new programming language. You will | ||
get to present your work to researchers and data scientists at the Institute of Computing for Climate | ||
Science and The Alan Turing Institute, and work with PhD students at Cambridge and Bristol. A strong | ||
background in functional programming, maths and/or science is a must. You can expect to gain experience | ||
in programming languages research, data analysis and data visualisation, with close supervisor | ||
support.</p> | ||
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