Writing a book, short story or research paper is about more than hammering away at the keys until it's done. Research, scrawling fragmentary ideas that don't seem to fit anywhere yet, collecting faded photos from old newspapers, shuffling index cards to find that elusive structure - most writing software is only fired up after much of the hard work is already done. Enter Scrivener: writing software that stays with you from that first, unformed idea all the way through to the first - or even final - draft. Outline and structure your ideas. Take notes. Storyboard your masterpiece using a powerful virtual corkboard. View research while you write. Track themes using keywords. Dynamically combine multiple scenes into a single text just to see how they fit. Scrivener has already been enthusiastically adopted by best-selling novelists and novices alike - whatever you write, grow your ideas in style.

Scrivener

This is a site for large data sets and the people who love them: the scrapers and crawlers who collect them, the academics and geeks who process them, the designers and artists who visualize them. It's a place where they can exchange tips and tricks, develop and share tools together, and begin to integrate their particular projects.

Library (theinfo)

What do road and railway systems, electrical circuits, mingling at parties, mazes, family trees, and the internet all have in common? All are networks - either people or places or things that relate and connect to one another. Only relatively recently have mathematicians begun to explore such networks and connections, and their importance has taken everyone by surprise. The mathematics of networks form the basis of many fascinating puzzles and problems, from tic-tac-toe and circular sudoku to the 'Chinese Postman Problem' (can he deliver all his letters without traversing the same street twice?). Peter Higgins shows how such puzzles as well as many real-world phenomena are underpinned by the same deep mathematical structure. Understanding mathematical networks can give us remarkable new insights into them all.

Nets, Puzzles and Postmen: An Exploration of Mathematical Connections

Consider this a follow-up to What's in a Font?

A revolution in typeface design has led to everything from more-legible newspapers and cell-phone displays to extra-tacky wedding invitations.

This URL will self-destruct in three days. See also this video interview with Michael Beirut.

Playing to Type

This document presents a technical comparison of the OpenID Authentication protocol and the Security Assertion Markup Language (SAML) Web Browser SSO Profile and the SAML framework itself. Topics addressed include design centers, terminology, specification set contents and scope, user identifier treatment, web single sign-on profiles, trust, security, identity provider discovery mechanisms, key agreement approaches, as well as message formats and protocol bindings. An executive summary targeting various audiences, and presented from the perspectives of end-users, implementors, and deployers, is provided. We do not attempt to assign relative value between OpenID and SAML, e.g. which is "better"; rather, it attempts to present an objective technical comparison.

Technical Comparison: OpenID and SAML

Pretty ... pretty ... pretty ... pretty good.

An extremely convincing phishing attack is using a cross-site scripting vulnerability on an Italian Bank's own website to attempt to steal customers' bank account details. Fraudsters are currently sending phishing mails which use a specially-crafted URL to inject a modified login form onto the bank's login page.

The vulnerable page is served over SSL with a bona fide SSL certificate issued to Banca Fideuram S.p.A. in Italy. Nonetheless, the fraudsters have been able to inject an IFRAME onto the login page which loads a modified login form from a web server hosted in Taiwan.

Netcraft: Italian Bank's XSS Opportunity Seized by Fraudsters

I changed my mind about online community this year.

I still believe that there is no fully automated system capable of managing the complexities of online human interaction — no software fix I know of. But I'd underestimated the power of dedicated human attention.

Plucking one early weed from a bed of germinating seeds changes everything. Small actions by focused participants change the tone of the whole. It is possible to maintain big healthy gardens online. The solution isn't cheap, or easy, or hands-free. Few things of value are.

Online Communities Rot Without Daily Tending By Human Hands

In the last 2.5 years, Google has conducted the largest corporate experiment with prediction markets we are aware of. In this paper, we illustrate how markets can be used to study how an organization processes information. We document a number of biases in Google’s markets, most notably an optimistic bias. Newly hired employees are on the optimistic side of these markets, and optimistic biases are significantly more pronounced on days when Google stock is appreciating. We find strong correlations in trading for those who sit within a few feet of one another; social networks and work relationships also play a secondary explanatory role. The results are interesting in light of recent research on the role of optimism in entrepreneurial firms, as well as recent work on the importance of geographical and social proximity in explaining information flows in firms and markets.

Using Prediction Markets to Track Information Flows: Evidence from Google

Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.

How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing".

Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:

* The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact
* How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details
* Several example projects with the code to make them work
* Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set

The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell.

Visualizing Data teaches you how to answer questions, not simply display information.

Visualizing Data, by Ben Fry

Shut up and drive.

This research examined the effect of naturalistic, hands-free, cell phone conversation on driver’s lane-changing behavior. Thirty-six undergraduate psychology students drove six 9.2-mile scenarios, in a simulated highway environment, with three levels of traffic density. Participants were instructed only to obey the speed limit and to signal when making a lane change. These simple driving instructions allowed participants to freely vary driving behaviors such as following distance, speed, and lane-changing maneuvers. Results indicated that, when drivers conversed on the cell phone, they made fewer lane changes, had a lower overall mean speed, and a significant increase in travel time in the medium and high density driving conditions. Drivers on the cell phone were also much more likely to remain behind a slower moving lead vehicle than drivers in single-task condition. No effect of cell phone conversation on following distance was observed. Possible implications on traffic flow characteristics are discussed.

Drivers’ Lane Changing Behavior While Conversing On a Cell Phone in a Variable Density Simulated Highway Environment