Posts Tagged "careers"
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Wolfram mathematica: data visualization example
This is example of visualization using Wolfram Mathematica, a commercial software package. We’ve previously discussed some of Wolfram’s other products and ideas in an earlier post on digital physics and cosmology as well as in our posts on IBM Watson. One of the reasons that data visualization remains something of a black art is that there are so many data visualization packages out there. Each package has its strength in a few kinds of plots or types of visualizations. Some of the better packages are commercial (and, unfortunately, not necessarily inexpensive). The high prices mean the experience of any practitioner is likely to be limited to a few commercial visualization packages over the course of a career (since most sites will only license a few packages). Open source data visualization packages are therefore very powerful, since they potentially combine the best of free tools. There are very good free tools out there.… Read the restEbola: Can big data or semantic text help?
“Many problems” in this case Yes it can. We’ll get to to how big data or semantic meaning can help in a moment. First a few observations. As the Prof. Redlener, the NYT’s expert on disaster preparedness put it, “There are many, many problems that have been revealed by this single case.” This is a polite way for saying what at the Dallas hospital was a major screw-up that needlessly put lives in danger and unnecessarily forced additional people into a 21-day quarantine. We can talk about using semantic text technologies to prevent these kinds of hospital errors, or big data to improve traveler screening processes. At the end of the day, however, this is a type of error that the billing department at the Dallas hospital should have been able to catch. EbolaCare(TM) insurance “Where do we send this bill?” “Hmmm, address in Liberia. Looks like he has EbolaCare(TM), the national health plan of Liberia.”… Read the restError bands, or why models will be models (of the mathematical variety)
In response to our article on the Social Progress Index (SPI) and prediction markets, the Social Progress Index folks asked why we didn’t just stop at optimizing the SPI. Two reasons, we said: (1) There’s an unfortunate tendency of people to believe (math) models are reality. They’re just models with error bands. (2) There’s going to be politically-motivated suspicion of any model (as well as political-motivated attempts to manipulate models and their interpretation). [For our readers coming over from our fashion design section, or our earlier article on virtual reality fashion models and modeling, we are talking about mathematical models here.] So how do models go bad? Let’s use the Social Progress Index as an example. We talked elsewhere about the tension between things like freedom of press and national security in a model like this. (In general, such tension will exist in an useful economic or financial model. If the tension did not exist, there would be nothing interesting to optimize, and so need for such a model in the first place.)… Read the restMH17 and big data: preventing the tragedy?
This might be a good time to take a break from our usual Internet of Things and Predictive Analytics technological musings and take a quick look at current events. Can big data be applied to the tragic recent shoot-down of MH17? Could a country-scale analytics dashboard (or lessons derived from analytics) have prevented this tragedy? We think so. In an earlier blog article (before the tragedy), we discussed possible frameworks for country-wide analytics dashboards. For any such dashboards to be successful, it needs to be as apolitical as possible. For this to work, these models need first to be accepted by stakeholders (e.g., politicians, corporations, voters, citizens, tax-payers, oligarchs, dictators). There needs to be a general consensus that the models’ predictions are based on sound social science. Even if the models are not perfectly accurately, there should be an understanding that they are at least directionally correction in terms of connecting input parameters with future outputs.… Read the restRecent Posts
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