scientific visualization

Christopher Domas presents his Cantor Dust tool at Derbycon 2012, a 3D visual approach to reverse engineering binaries by visualizing their structure dynamically.

Christopher Domas's REcon 2013 talk on dynamic binary visualization for reverse engineering. He shows how rendering binary data as interactive visual maps and trigraphs reveals structure that hex dumps hide, leading to his Cantor.dust tool.

Bret Victor's talk on Drawing Dynamic Visualizations. It argues that visualization tools offer either the directness of hand drawing or the dynamics of programmed graphics, and shows a tool that combines both.

Stuart Halloway of Cognitect argues for debugging with the scientific method: form hypotheses, try to falsify them, and write everything down. The talk is given to the Clojure community but applies to any language.

David Beazley's PyData Global 2021 keynote, an oral history of early scientific Python. He tells how Python ended up running on a Connection Machine supercomputer at Los Alamos.

Drew Berry shows scientifically accurate animations of molecular processes inside cells, such as DNA replication, at TEDxSydney.

Philip Roberts explains the JavaScript event loop, call stack, callbacks and asynchronous behavior with live visualizations using a tool he built. It demystifies terms like non-blocking and single-threaded.

Bret Victor's talk proposing a new kind of maker space built for seeing and understanding a project's behavior: inside it, across time and across possibilities. It argues for scientific understanding over recipes and rules of thumb.

A Foresight Institute workshop video with two talks: Shawn Douglas on nanoscale instruments for visualizing small proteins, and Bret Victor on Dynamicland. Victor's part shows biomolecular design built in his Realtalk system with physical objects.

Physicist David Deutsch's TED talk on why science took off, arguing that good explanations are those that are hard to vary. It contrasts scientific explanation with myth.

A re-upload of Rupert Sheldrake's TEDx talk The Science Delusion, which TED removed from its channel. He challenges what he calls the dogmas of modern science, including whether fundamental constants are constant.

Anna Rosling Rönnlund presents Dollar Street, a project photographing homes in dozens of countries, from stoves to beds to toilets, and sorting them by income. She shows how data visualization can change how we see the world.

A Google Tech Talk by Laurens van der Maaten, co-creator of t-SNE, on visualizing high-dimensional data by mapping it to two dimensions. It explains how the technique works and how it compares with other visualization approaches.

SciPy 2015 talk by Nathaniel Smith and Stefan van der Walt on choosing a new default colormap for Matplotlib. It covers why Jet misleads, how perceptual color spaces work, and how viridis was designed.

Hans Rosling uses the Gapminder animated-data tool to debunk myths about world development, with sportscaster-like energy. It shows trends in health, income and child survival across countries.

Steven Wittens' JSConf US 2013 talk on drawing with WebGL, using animated visuals to walk through vectors, matrices and the rendering pipeline. Despite the title, it works as a visual primer on the linear algebra behind 3D graphics.

In this TED talk, Hans Rosling uses animated statistics to debunk myths about the developing world, showing how health and income have improved across countries.

Hans Rosling's TED@Cannes talk uses boxes and animated data graphics to show how world population will grow to about 9 billion. He argues that raising living standards for the poorest is what reduces population growth.

A JuliaCon talk by a NASA Launch Services Program engineer on modeling spacecraft separation dynamics in Julia. He describes replacing a Simulink-based workflow for checking launch vehicle separation requirements with Julia and ModelingToolkit, with large speedups and much shorter code.

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

Chris Urmson's SXSW 2016 talk on Google's self-driving car project, covering 1.3 million self-driven miles and the gap between hype and reality. It shows sensor visualizations and playbacks of hard situations the cars met, and discusses failures such as the low-speed bus collision.

Adam Conover's talk at a millennial marketing conference argues that generations are an unscientific, condescending idea and that millennials do not exist as a real category. The description notes that researcher Jean Twenge later said he misrepresented some of her work.

A SXSW talk by W Watson that uses Lacanian psychoanalysis, with nods to Zizek, to critique popular programming languages. It argues that people choose and defend languages for emotional and ideological reasons rather than rational ones.

Bret Victor's 2013 MIT Media Lab talk argues that the media we think with determine which thoughts are possible. He demos new representations for scientific papers, circuits, filters and signal processing.

Dan Abramov's talk on the wet codebase, using visualizations to show how removing all duplication too early produces wrong abstractions that are hard to unwind.

David MacKay, scientific advisor to the UK energy department, gives a Harvard talk on sustainable energy at macro and micro scale, drawn from his book Sustainable Energy Without the Hot Air. It stresses the land area renewables require.

Emery Berger's CppCon 2020 plenary on why performance is hard on modern hardware after the end of Dennard scaling. It covers benchmarking pitfalls and introduces new profiling tools for finding real bottlenecks.

A talk given at the 2011 Nammour Symposium at Sacramento State arguing that past generations were wrong about nearly everything, so we should expect to be wrong too. It tours the many surprising ways scientific beliefs have failed, drawing on pessimistic induction.

A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.

Adam Tornhill's GOTO Copenhagen 2019 talk on how to prioritize technical debt in large codebases. It argues for combining code complexity with change frequency (hotspots) from version control data, rather than trying to quantify debt in the abstract.

Berkeley neuroscientist Jack Gallant shows how fMRI brain mapping can be used to decode what a person sees, with visualizations of brain activity and its implications.

A TEDx talk arguing that battery electric vehicles are not as environmentally friendly as commonly believed and that the rush to adopt them is misguided. TED flagged it as containing claims that lack scientific support.