To open this week’s selection of videos related to data visualization, we picked the latest addition to our gallery by the brilliant team of Nature magazine. This short animation explains what is DNA origami, a technique first presented 10 years ago, and that was the cover story of Nature on March 16, 2006.
Following it, some of the keynote talks and interviews shared in the past few days on YouTube. As usual, you should dedicate some time to properly enjoy all of them.
DNA origami is the art of folding DNA. The idea is to create tiny nanoscale machines that could work inside the human body. In the ten years since the technique was first reported the field has grown massively. Nature Video finds out how DNA origami works and what has been achieved so far. You can read more here, and check out the original 2006 paper here.
Presented on 2016 February 24 as part of the Data Visualization Speaker Series at the University of San Francisco, this talk by Stamen‘s Alan McConchie covers the work done to build the American Panorama, a series of interactive maps of American history. More specifically, the first four maps of the Panorama, which cover the forced migration of enslaved people before the Civil War, migration across the Overland Trails to the West, the movement of people and goods through canals, and the immigration of people to the U.S. from 1850 to today.
How do you get from a sheet of raw numbers to a good visualization? How do you decide which visualizations, interactions, and linked views make the most sense for your data? Most visualization classes assume that you know what you want to see; data science scenarios all-too-often assume that users already know what they expect . In this talk, Danyel Fischer, Senior Researcher at Microsoft, outlines the process of “data counseling,” which is a structured way of working from your business needs down to concrete visualizations.
- Big data, data activism, and the global civil society | Oxford Internet Institute, University of Oxford
This talk by Stefania Milan uses the lenses of data activism to take a critical approach to civil society’s engagement with big data. Data activism indicates those grassroots mobilisations taking a critical stance towards massive data collection. It takes two forms: pro-active data activism, whereby citizens appropriate data and data narratives to foster social change, and re-active data activism, by which people resist and subvert massive data collection by means of technical fixes.
Javiera Atenas and Leo Havemann, co-editors of “Open Data as Open Educational Resources: Case studies of emerging practice” (pdf), discuss the role of Open Data in Open Education, in this interview conducted by David Kernohan.