BibSonomy ::  user :: jaeschke ::

Twitter wird sein frisch eingekauftes Echtzeit-DV-System Storm als Open Source veröffentlichen. Damit wird die Technik für die Parallelisierung von Datenbankabfragen für alle verfügbar.

FET-Open is happy to announce the launch of a new funding objective - a continuous scheme targetted at young scientists with high potential - FET Young Explorers. This objectives gives young researchers and scientists the opportunity to take their ideas forward in the form of small STREP proposals, with possibility of funding in the order of EUR 1 million. This objective is truly designed with the needs of young scientists in mind. Successful projects must be led by a young researcher, and the leadership by young researchers of all work packages is also required. No more than six years should have elapsed between the award of a Ph.D. (or equivalent) for each such young researcher and the date of submission of the short proposal. The FET Young Explorer Objective aims at capturing the creative potential of young researchers by fostering their leadership and participation in collaborative research projects targeting first-ever and exploratory, multi-disciplinary research. This exploration should be grounded in scientifically plausible ideas that can provide a novel basis for the development of radically new concepts and visions that extend the conventional boundaries of ICT. New multi-disciplinary approaches and unconventional methodologies are encouraged. The FET Young Researchers objective is the place to submit first ever ideas which can change the fact of ICT and computing forever. In particular, successful projects are expected to open new avenues of research towards future ICT that may be radically different from present day ICT, empower the next generation of European science and technology leaders through their increased leadership of collaborative ICT research, and promote early independence of young high potential researchers. The FET Young Researchers scheme is continuously open until 11 September 2012. FET-Open applies a two-step submission scheme and FET-Open specific eligibility and evaluation criteria (see Appendix 5 of the 2011-2012 Work Programme for further details).

A Revised Taxonomy of Social Networking Data Lately I've been reading about user security and privacy -- control, really -- on social networking sites. The issues are hard and the solutions harder, but I'm seeing a lot of confusion in even forming the questions. Social networking sites deal with several different types of user data, and it's essential to separate them. Below is my taxonomy of social networking data, which I first presented at the Internet Governance Forum meeting last November, and again -- revised -- at an OECD workshop on the role of Internet intermediaries in June. * Service data is the data you give to a social networking site in order to use it. Such data might include your legal name, your age, and your credit-card number. * Disclosed data is what you post on your own pages: blog entries, photographs, messages, comments, and so on. * Entrusted data is what you post on other people's pages. It's basically the same stuff as disclosed data, but the difference is that you don't have control over the data once you post it -- another user does. * Incidental data is what other people post about you: a paragraph about you that someone else writes, a picture of you that someone else takes and posts. Again, it's basically the same stuff as disclosed data, but the difference is that you don't have control over it, and you didn't create it in the first place. * Behavioral data is data the site collects about your habits by recording what you do and who you do it with. It might include games you play, topics you write about, news articles you access (and what that says about your political leanings), and so on. * Derived data is data about you that is derived from all the other data. For example, if 80 percent of your friends self-identify as gay, you're likely gay yourself. There are other ways to look at user data. Some of it you give to the social networking site in confidence, expecting the site to safeguard the data. Some of it you publish openly and others use it to find you. And some of it you share only within an enumerated circle of other users. At the receiving end, social networking sites can monetize all of it: generally by selling targeted advertising. Different social networking sites give users different rights for each data type. Some are always private, some can be made private, and some are always public. Some can be edited or deleted -- I know one site that allows entrusted data to be edited or deleted within a 24-hour period -- and some cannot. Some can be viewed and some cannot. It's also clear that users should have different rights with respect to each data type. We should be allowed to export, change, and delete disclosed data, even if the social networking sites don't want us to. It's less clear what rights we have for entrusted data -- and far less clear for incidental data. If you post pictures from a party with me in them, can I demand you remove those pictures -- or at least blur out my face? (Go look up the conviction of three Google executives in Italian court over a YouTube video.) And what about behavioral data? It's frequently a critical part of a social networking site's business model. We often don't mind if a site uses it to target advertisements, but are less sanguine when it sells data to third parties. As we continue our conversations about what sorts of fundamental rights people have with respect to their data, and more countries contemplate regulation on social networking sites and user data, it will be important to keep this taxonomy in mind. The sorts of things that would be suitable for one type of data might be completely unworkable and inappropriate for another.

Expect to see an emphasis on the scholarly and research implications of the acquisition. I’m no Ph.D., but it boggles my mind to think what we might be able to learn about ourselves and the world around us from this wealth of data. And I’m certain we’ll learn things that none of us now can even possibly conceive.

Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.

The Yahoo! Webscope™ Program is a reference library of interesting and scientifically useful datasets for non-commercial use by academics and other scientists. All datasets have been reviewed to conform to Yahoo!'s data protection standards, including strict controls on privacy. We have a number of datasets that we are excited to share with you. Learn how to get involved.