Despite competing with a somewhat rare sunny day in Vancouver at this time of year we had over 80 participants show up at City Hall, who graciously agreed to host the room. Backgrounds varied — we had environmentalists, college and university students, GIS types, open street mappers, journalists, statisticians among others. Over 20 staff were present, including one of the Deputy City Managers and a councillor — Andrea Reimer — who has been most active and supportive on the Open Data file. In addition we had a surprise guest — Federal Minister Tony Clement, who is the minister responsible for Open Data with the national government. Our event was fairly loosely organized. While Luke and I are comfortable with relatively flexible agenda for the day, we knew the unstructured nature of the event was a departure for some from the city and were grateful that they trusted us both with the format and with the fast, loose and informal way we sought to run the day. The one thing both Luke and I were committed to doing was getting participants and city staff to talk to one another. We then had people cluster — in groups of about — around a department whose data or mission was of interest to them. In essence, they got to have a 10 minute speed date on data with a city official.
Data was gathered from participants in experimental speed dating events from GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.
Within multimedia data mining, many different data sets are available for the Negotiation DataSet, Group Polarization DataSet, Speed Dating DataSet, and the.
Leveraging a massive dataset of over million potential matches between single users on a leading mobile dating application, we were able to identify numerous characteristics of effective matching. Effective matching is defined as the exchange of contact information with the likely intent to meet in person. The characteristics of effective match include alignment of psychological traits i. For nearly all characteristics, the more similar the individuals were, the higher the likelihood was of them finding each other desirable and opting to meet in person.
The only exception was introversion, where introverts rarely had an effective match with other introverts. Given that people make their initial selection in no more than 11 s, and ultimately prefer a partner who shares numerous attributes with them, we suggest that users are less selective in their early preferences and gradually, during their conversation, converge onto clusters that share a high degree of similarity in characteristics.
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Open data is a powerful source of information that can help in making decisions and formulating policies to … [Read more All over the world this Saturday, March 5th, people will be celebrating another iteration of the largest hackathon on Earth. Verhulst, from the GovLab at New York University Despite global commitments to and increasing enthusiasm for open data, little is actually known about its use and impact. What kinds of social and economic transformation has open data brought about, and what is its future potential?
How—and under what circumstances—has it … [Read more This post will highlight four datasets of interest that are available … [Read more
Open Data Day 2013 in Vancouver
All datasets below are provided in the form of csv files. If you are using D3 or Altair for your project, there are builtin functions to load these files into your project. These are simple multidimensional datasets that are for the most part classic infovis datasets. If you use one of these data sets, you will need to focus your effort on creating good, interactive representations that are well-suited to your analytic tasks.
Open Data Speed Dating! In honor of international Open Data Day, this coming Saturday 22 February. Cape Town and Hacks/Hackers.
Signup to Premium Service for additional or customised data – Get Started. This is a preview version. There might be more data in the original version. Note: You might need to run the script with root permissions if you are running on Linux machine. This data was gathered from participants in experimental speed dating events from At the end of their four minutes, participants were asked if they would like to see their date again.
They were also asked to rate their date on six attributes:. The dataset also includes questionnaire data gathered from participants at different points in the process. These fields include:. Licensed under the Public Domain Dedication and License assuming either no rights or public domain license in source data. Try It Now! Speed dating machine-learning.
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Specifically, we sought to share the two speed-dating data sets required to reproduce the findings in our recent Psychological Science article.
Best local dating sites free matching matching for friendship This city planning’s data repository, congressional districts, reserves, where people meet each other metadata standards exist, start end date? Google’s approach is presented and made publicly available for datasets in china. Connect your experience on date when a field to the vocabulary.
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Termin 03 – Dr. Matthias Stürmer: Open Data Speed Dating
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What kinds of social and economic transformation has open data brought about, and Born out of Speed‐Dating as a way to match single people, Speed .
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Today, we issued our first newsletter, where we share news on recent publications and the different activities by partners who actively work to change structures in their own institutions. Aiming to achieve responsible biosciences. You can view the newsletter here and subscribe to hear more from us in the future! With an appropriate understanding of the scientific process, citizens can cultivate well-founded views on scientific issues.
The text is designed to be a tool for guiding readers in self-reflection over the reasons and ways that different organizations can move towards changing structures to promote responsible research and innovation. We have asked our reviewers to give input and let us know if the text is comprehensible, comprehensive, useable and relevant. In essence, we are asking if people who are new to RRI and structural change can understand the guideline. We also want to know if we have included everything that is needed to equip the readers to promote RRI practice.
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