Bookmarks for February 1st through February 2nd

These are my links for February 1st through February 2nd:

  • Simulation-Based Definitions of Emergence – One approach to characterizing the elusive notion of emergence is to define that a property is emergent if and only if its presence can be derived but only by simulation. In this paper I investigate the pros and cons of this approach, focusing in particular on whether an appropriately distinct boundary can be drawn between simulation-based and non-simulation-based methods. I also examine the implications of this definition for the epistemological role of emergent properties in prediction and in explanation.
  • The Sphere of Deviance | WNYmedia.net – The people who regularly watch The Daily Show treat it as an end of the day metafilter for the news coverage they just consumed. Whether the views aired on The Daily Show are about shoddy financial reporting, corporate media complicity in governmental shenanigans or lazy journalism; the show serves as a cultural touchstone for people who know the whole media spectacle is a sham. Stewart has the only show on which there is even a mild analysis of those who deign to keep the “news” centrally controlled. The fact that he does it in an entertaining manner and that it airs after repeats of Crank Yankers are beside the point.
  • A Better Way to Manage Knowledge – John Hagel III and John Seely Brown – Harvard Business Review – We give a lot of talks and presentations about the ways and places companies and their employees learn the fastest. We call these learning environments creation spaces — places where individuals and teams interact and collaborate within a broader learning ecology so that performance accelerates.

    During these discussions, it's inevitable that somebody raises their hand. "Wait a minute," they say, "isn't this just knowledge management all over again?"

  • 28 Rich Data Visualization Tools – InsideRIA – [W]e have pulled together a set of 28 tools for creating graphs, Gantt charts, diagrammers, calendars/schedulers, gauges, mapping, pivot tables, OLAP cubes, and sparklines, in Flash, Flex, Ajax or Silverlight.
  • The Paranoid Style in American Politics – American politics has often been an arena for angry minds. In recent years we have seen angry minds at work mainly among extreme right-wingers, who have now demonstrated in the Goldwater movement how much political leverage can be got out of the animosities and passions of a small minority. But behind this I believe there is a style of mind that is far from new and that is not necessarily right-wing. I call it the paranoid style simply because no other word adequately evokes the sense of heated exaggeration, suspiciousness, and conspiratorial fantasy that I have in mind.

Bookmarks for October 6th from 04:09 to 10:47

These are my links for October 6th from 04:09 to 10:47:

  • Public Radio Exchange – Public Radio Exchange is an online marketplace for distribution, review, and licensing of public radio programming. PRX is also a growing social network and community of listeners, producers, and stations collaborating to reshape public radio.
  • Project 10 to the 100 – Last fall we launched Project 10^100, a call for ideas to change the world by helping as many people as possible. Your response was overwhelming. Thousands of people from more than 170 countries submitted more than 150,000 (or around 10^5.2) ideas, from general investment suggestions to specific implementation proposals. As we reviewed these submissions, we started noticing lots of similar ideas related to certain broad topics, and decided that combining the best aspects of these individual proposals would produce the most innovative approaches to solving some very pressing problems.
  • Model Selection – In statistics and machine learning, "model selection" is the problem of picking among different mathematical models which all purport to describe the same data set. This notebook will not (for now) give advice on it; as usual, it's more of a place to organize my thoughts and references…

    Classification of approaches to model selection (probably not really exhaustive but I can't think of others, right now):

  • Math Overflow – What kind of questions can I ask here?

    Mathematics questions, of course! As long as your question is of interest to at least one other mathematician somewhere, it is welcome here. Please make your question detailed and specific, and write clearly and simply. "Newbie" questions are welcome and even encouraged; after all, part of the goal of this site is to be the canonical repository of standard questions and answers that mathematicians have when they are exploring a new field.

Bookmarks for June 17th from 11:55 to 14:14

These are my links for June 17th from 11:55 to 14:14:

  • Dataspora Blog – Big Data, open source analytics, and data visualization
  • IrfanView – IrfanView is a very fast, small, compact and innovative FREEWARE (for non-commercial use) graphic viewer for Windows 9x, ME, NT, 2000, XP, 2003 , 2008, Vista, Windows 7.
  • Hunch – At the core of Hunch is a question selection algorithm built by our small gaggle of MIT computer scientists with backgrounds in machine learning. The algorithm is always asking itself, "What can I ask you next which will lead to the best possible result for this decision?" The choice of which questions to ask and when to ask them will vary based on what you've already been asked (and how you've answered) so far, the same way that a human expert would adjust a line of questioning based on your responses.

    Hunch's question selection algorithm tries to do two things. First, it tries to find a question which will discriminate well among the remaining possible decision outcomes for you – thus filtering the remaining choices from "many" to "fewer". Second, the algorithm looks for a question which can help optimize and rank the remaining decision results to present you with the ones you'll like the most. It's trying to ensure that you'll like outcome #1 better than outcome #5.

  • PhilPapers: Philosophy Online – PhilPapers is a comprehensive directory of online philosophy articles and books by academic philosophers. We monitor journals in many areas of philosophy, as well as archives and personal pages. We also accept articles directly from users, who can provide links or upload copies.
  • The Statistics Homepage – Blurb: "n this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of one's general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987)."