Last fall, I worked for four months in Google, Zürich. It was a fun and enriching experience, indeed. The opportunity to learn and contribute to the technology that is used by millions of people daily is quite exciting.
Besides enjoying the Google-life, during my days in Zürich, I was invited by two artist friends, Silvan Käelin [1,2,3] and Philip Matesic [4,5,6]), to give a talk about my PhD thesis research at Perla Mode -- as part of the Theory Tuesdays project.
Philip organizes a weekly event at Perla Mode named Theory Tuesdays. The goal is to bring together artists, researchers (of multiple disciplines), and the public to discuss a variety of topics such as art, technology, society, and their intersection.
I received the invitation with surprise and interest. It was a new experience to talk to an audience completely outside my field of research. Also, it was a chance to receive feedback (from such non-technical group) about what I think it is a relevant topic of study.
The idea was to have a middle ground between what I have been investigating (i.e., techniques to assess the value of contributions in peer production systems [pdf]) and a the broader topic that could interest the attendance.
Therefore, it seemed appropriate to introduce the notion of peer production systems [7], hint the questions I am interested in answering in this context, and asking the participants related questions such as: how do they perceive the value of information they consume online? do they often perceive themselves contributing to others by producing information online? what is the main incentive to do so? What are the aspects they take into account to decided whether an information provider produces value to them?
I am glad that the "talk" turned into a lively conversation about about all these questions and other aspects related to online peer production. We covered topics from the basic notion of social production (and why it works so well in certain scenarios), passed through specifics about the utility of tagging (e.g., classification languages may emerge through collaboration), and talked about the intuition behind the techniques I am designing to assess the value of contributions in social tagging systems.
Although anecdotal, it was possible to observe from the discussion two explicit trends on the perception of value of online peer-produced information: novelty and trust on the information producer. These aspects came up in the discussions as crucial to the users to assess the value of peer-produced information. It is important to note that the information consumer's interest is an implicitly aspect considered in the value assessment.
The observations are somehow intuitive, but for me it was quite important and helpful to have a first-hand discussion with the real users of the systems I study. It does help one to tune the questions to ask and where the relevancy of one's research. I hope to have more opportunities like this. Thanks to Silvan and Philip for the first one.
References:
[1] One Man
[2] Lagoa do Ouro
[3] Temps de Poussiére (Time of Dust)
[4] An Bonus
[5] Mau Series
[6] To Don Pedro with Mr. Gonzalez
[7] Y. Benkler. "The Wealth of Networks: How Social Production Transforms Markets and Freedom"
Showing posts with label google. Show all posts
Showing posts with label google. Show all posts
Wednesday, December 01, 2010
Tuesday, March 10, 2009
Tracing Influenza Epidemics via Crowdsourcing
Researchers from Google (Mountain View,CA,USA) and Centers for Disease Control and Prevention (Atlanta, GA,USA) recently reported a method to build a model that helps detecting the spread of Influenza.
The article describes the analysis of search logs in combination with records of doctor visits related to Influenza-like Illness (ILI). The goal of the model is to predict the percentage of doctor visits that are ILI-related. The authors report a correlation of up to 0.96 between the model predictions and the Centers for Disease Control (CDC) reports.
Citation:
Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski and Larry Brilliant. Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014 (19 February 2009).
The article describes the analysis of search logs in combination with records of doctor visits related to Influenza-like Illness (ILI). The goal of the model is to predict the percentage of doctor visits that are ILI-related. The authors report a correlation of up to 0.96 between the model predictions and the Centers for Disease Control (CDC) reports.
Citation:
Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski and Larry Brilliant. Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014 (19 February 2009).
Tuesday, June 03, 2008
Oh My Goosh!
If you like typing your commands away to interact with your computer, you will like this: Goosh :-)
From Slashdot: goosh, the Unofficial Google Shell posted by kdawson on Monday June 02, @07:26PM.
From Slashdot: goosh, the Unofficial Google Shell posted by kdawson on Monday June 02, @07:26PM.
It's essentially a browser-oriented, shell-like interface that allows you to quickly search Google (and images and news) and Wikipedia and get information in a text-only format.
Saturday, January 19, 2008
Scientific Data For All!
The Wired Blog is running a brief article about yet another Google's initiative. The idea is to provide storage, and as far as I understood, free access to scientific data sets.
One interesting point of the article is the following:
It sounds exciting that in the near feature, we might have access to a long list of data sets. Perhaps, under a standard API. If you like buzzwords, this might be named (if it is not the case already) -- Science in the Cloud. Despite the name they will give to this, this initiative can bring a long list of advantages for the the scientific community, I think.
Finally, I wonder when the RFC for the "suitcase-based transport protocol" will be available (similar to RFC 1149). :-)
One interesting point of the article is the following:
(Google people) are providing a 3TB drive array (Linux RAID5). The array is provided in "suitcase" and shipped to anyone who wants to send they data to Google. Anyone interested gives Google the file tree, and they SLURP the data off the drive. I believe they can extend this to a larger array (my memory says 20TB).
It sounds exciting that in the near feature, we might have access to a long list of data sets. Perhaps, under a standard API. If you like buzzwords, this might be named (if it is not the case already) -- Science in the Cloud. Despite the name they will give to this, this initiative can bring a long list of advantages for the the scientific community, I think.
Finally, I wonder when the RFC for the "suitcase-based transport protocol" will be available (similar to RFC 1149). :-)
Thursday, March 22, 2007
News from the Distributed Storage World
There was a post running on the FUSE mailing list that captured my attention this week. A Google FS-like sort of distributed file system named Startfish.
In their FAQ, there are several claims (and bar charts) about good performance results regarding several performance metrics (i.e. read/write throughput, scalability, etc) compared to NFS, SAMBA and Lustre file systems. But, I think a deep evaluation seems to be needed to assess these claimed advantages.
Also, this seems to be a major milestone on the increasing number of FUSE-based file systems. It would be nice to try it out.
There was a post running on the FUSE mailing list that captured my attention this week. A Google FS-like sort of distributed file system named Startfish.
In their FAQ, there are several claims (and bar charts) about good performance results regarding several performance metrics (i.e. read/write throughput, scalability, etc) compared to NFS, SAMBA and Lustre file systems. But, I think a deep evaluation seems to be needed to assess these claimed advantages.
Also, this seems to be a major milestone on the increasing number of FUSE-based file systems. It would be nice to try it out.
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