Mathematician Hannah Fry has called for tech and data scientists to make an ethical pledge, as medical doctors do. But the same result might be delivered by simply asking people to mind their bias.
Academic rigor, journalistic flair
Articles on Data science
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Data science, led by Africa-based scientists, could play a key role in addressing all of the continent’s crucial needs.
Young people with gender dysphoria have high rates of mental health issues which makes conducting ethical research trials complex.
Even though the Holocaust is one of the best documented genocides in history, there’s limited quantitative data available. A new study investigates the number of deaths per day.
Data science can map where street harassment is most prevalent, ensure public bins don’t overflow and identify neighbourhoods with poor fire safety standards in the home.
‘Everybody Lies’ author Seth Stephens-Davidowitz on why we tell the (sometimes disturbing) truth online
The Conversation21.1 MB (download)
In this episode of Speaking with, author Seth Stephens-Davidowitz explains why humans lie to each other, but often tell the internet the truth.
Big data can be used to properly advise smallholder farmers in Africa and help guide pest monitoring efforts.
The same-sex marriage postal survey gave Australians a chance to create data for social change. And that’s rare.
New research claims to have found a link between types of chords and the lyrics they are typically paired with.
Most industries tap into big data these days – meaning more and more jobs are opening up in this field. Here’s some background on the skills and qualities you’d use as a modern big data professional.
We need the skills to put big data to use before others leave us behind.
Modern biological research relies on big data analytics. Vast reservoirs of memory and powerful computing ability mean machines find patterns and make meta-analyses and even predictions for scientists.
City dwellers have better access to more information about the people and places around them than ever before, but it has never been more difficult to preserve privacy as a result.
Preventing crime before it happens, while saving resources, sounds like a great use of big data. But these calculated probabilities raise big questions about civil liberties.
Analyzing big data sets holds the promise of big insights. But the axiom “garbage in, garbage out” is particularly apt, since conclusions can be only as good as the raw data itself.
Today’s world is drenched in data, and we need the best tools to help us understand and use it.
Top contributors
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Lecturer in sociology, Cardiff University
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Acting director of the School for Data Science and Computational Thinking, Stellenbosch University
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Professor in science and technology studies, Cardiff University
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Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science, University of Michigan
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Research associate in environmental governance, Cardiff University
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Consultant Neonatologist and Professor of Ethics, University of Oxford
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Professor, Centre for Astrophysics and Supercomputing, Swinburne University of Technology
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Demographer, POLIS Centre for Social Policy Research, Australian National University
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DVC Innovation & Enterprise, University of Technology Sydney
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Adjunct Professor and Industry Fellow, UNSW Sydney
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Professor of Applied Mathematics, University of Adelaide
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Research Fellow, National Institutes of Health
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Professor of Spatial Information, The University of Melbourne
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Professor of Information Sciences and Technology at Altoona campus, Penn State
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Strategy & Business Development, CSIRO
