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Big Data and Social Research Roundup No. 9

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In this edition of SAGE Publishing’s monthly newsletter for computational social scientists, the issue takes a page from MethodSpace itself and looks at how social network analysis is changing in a big data era in a recent interview with Song Yang, lead author of the new text Social Network Analysis: Methods and Examples. In addition […]

Categories: Big Data, SAGE Posts, Tools and Resources

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There’s a Guerrilla Movement to Protect Data

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This probably isn’t how you envisioned a guerrilla movement … A snapshot from the data rescue workshop, “Protecting Climate Data in Times of Political Turmoil,” held at UCLA on Jan. 20. (Photo: Jennifer Pierre) On the United States’ Inauguration Day, a group of students, researchers and librarians gathered in a nondescript building on the north […]

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New Public Data Lab’s First Output: Field Guide to Fake News

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A new “Public Data Lab” at the Institute for Policy Research at the University of Bath has produced its first fruit, A Field Guide to Fake News, which harnesses digital methods “to trace the production, circulation and reception of fake news online.” The use of digital methods, the guide observes, is not just sufficient but […]

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Crowdsourcing Raises Host of Methodological and Ethical Questions

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Crowdsourcing offers researchers ready access to large numbers of participants, while enabling the processing of huge, unique datasets. However, the power of crowdsourcing raises several issues, including whether or not what initially emerged as a business practice can be transformed into a sound research method. Isabell Stamm and Lina Eklund argue that the complexities of managing large numbers of people mean crowdsourcing reduces participants to one faceless crowd. Applied to research, this is inherently problematic as it contradicts the basic idea that we control who participates in our studies. This not only challenges scientific rules of representativeness but also leaves methodological designs vulnerable to researchers’ implicit assumptions about the crowd.

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Coping with Data Visualization’s Many Options

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The late data visionary Hans Rosling mesmerized the world with his work, contributing to a more informed society. Rosling used global health data to paint a stunning picture of how our world is a better place now than it was in the past, bringing hope through data. Now more than ever, data are collected from […]

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How Will Big Data Affect Evolution of Social Science?

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Social scientists have, overall, been slower to tap into the ever-increasing flow of “big data” than their peers in the physical and medical sciences. That lethargy is a tad ironic given that so much of the big data available, whether it be government administrative data or social media feeds like Twitter, don’t have to be […]

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Video: ‘Big Data New Skills’ Panel at RC33

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How will innovations in research methods and the new data environment impact teaching and research? That was the underlying question during a panel discussion hosted by SAGE Publishing at the 9th International Conference on Social Science Methodology. The conference, held every four years under the auspices of the International Sociological Association  Research Committee RC33 on […]

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DataKindUK DataDive: A Quick Look at the Hackathon

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In late September SAGE Publishing sponsored DataKindUK’s DataDive, a hackathon bringing volunteer data scientists and social non-profits and social enterprises together for a weekend of social change through data analysis. A ‘data dive’ is a focused hacking weekend that works with a selected non-profit or social enterprise to help them improve their understanding of their […]

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UK Data Service: Data driven research – Access, analyse, evidence

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10 December 2014 London School of Economics This free half-day workshop offers an introduction to the data, resources and support available from the UK Data Service. The workshop is aimed at researchers in the social sciences and related disciplines, research methods teachers and librarians who wish to learn more about the resources and support offered […]

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Big Data – interesting reads

This is a group for anyone interested in big data research who wants to share links of interest on the topic.

Public Group / 14 members

Actor Network Theory

Discussion and application of ANT

Public Group / 22 members

Advanced Visualisation Group

There is well – forgotten way of visualization of Big Data usually used by applied mathematicians in natural sciences. In comparison with popular Visual Story Telling,this kind of  mathematical visualization assumes an e

Public Group / 4 members

Big Data – interesting reading

This is a group for anyone interested in big data research who wants to share links of interest on the topic.

Categories:

Actor Network Theory

Discussion and application of ANT

Categories:

Advanced Visualisation Group

There is well – forgotten way of visualization of Big Data usually used by applied mathematicians in natural sciences. In comparison with popular Visual Story Telling,this kind of  mathematical visualization assumes an existence of some Platonic mathematical structures and objects behind Data. Hence,we always can reduce Data to equation, theorem and thus to deduce real prediction of […]

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Census.ac.uk

A group for those interested in discussing the reuse of UK census data.

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Improving the Reproducibility of Computational Research

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Date/Time
Date(s) - 03/29/2017
11:00 am - 12:30 pm

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As the data collection ability of nearly every area of science has ballooned, so has the potential for problematic research practices that can lead to irreproducible results.  In this National Science Foundation Directorate for Computer & Information Science & Engineering Distinguished Lecture, Russell Poldrack of Stanford University will discuss a set of approaches that we are developing to address this reproducibility crisis in the context of human neuroimaging research. These include an integrated platform for the analysis and open sharing of neuroimaging data, frameworks for the description of data and metadata, and the use of software containers and virtual machines to enhance computational reproducibility.  Poldrack will show how these approaches have the potential to enable a new era of reproducibility in science.

The lecture will be held at Room 110 of the NSF campus at 4201 Wilson Boulevard in Arlington, Virginia. It will also be webcast; to view the free webinar please register at: http://www.tvworldwide.com/events/nsf/170329/

Poldrack is the Albert Ray Lang Professor in the Department of Psychology at Stanford, and director of the Stanford Center for Reproducible Neuroscience.  His research uses neuroimaging to understand the brain systems underlying decision making and executive function.  His lab is also engaged in the development of neuroinformatics tools to help improve the reproducibility and transparency of neuroscience, including the OpenfMRI.org and Neurovault.org data sharing projects and the Cognitive Atlas ontology.

For more information, click here.

Webinar: Linking Data to Understand People in Context

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Date/Time
Date(s) - 02/27/2017
9:00 am - 10:00 am

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Drawn from scholarship appearing in the current issue of The ANNALS of the American Academy of Political and Social Science, this free webinar explores the nexus of actionable analysis and big data from public, private and research sources.

Four researchers in the thick of tapping a broad array of information from disparate sources like administrative data, social media, smartphones, the Census, and experiments, and using that data to promote good policies for individual and communities, are panelists for this event: sociologist Christopher R. Browning of The Ohio State University; Barbara Entwisle, Kenan Professor of Sociology at the University of North Carolina at Chapel Hill; Elizabeth Fussell of the Population Studies and Training Center at Brown University; and Emilio F. Moran, John A. Hannah Distinguished Professor at Michigan State University and co-guest editor of the ANNALS volume.

The webinar, “The New Big Science: Linking Data to Understand People in Context,” is scheduled for 9 a.m. PT/noon ET on February 27. It is free, but attendees are urged to register in advance because online space is limited.

To register, CLICK HERE.

Hacking Big Data and Open Data in San Diego

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Date/Time
Date(s) - 02/18/2017
All Day

Location
San Diego State University

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February 18 will see the first round of the Big Data Hackathon/San Diego. Your challenge is to create an app, platform, and/or technology that can tie into the public health theme using datasets provided via the hackathon’s special GitHub site.

Bring your ingenuity, creativity, imagination, a laptop and a charger! Anyone is welcome to participate.
Students, engineers, developers, programmers, journalists, scientists, public officials, and community members are just a few people who may find this big data event of interest. Consider attending if you have:

  • Journalistic, creative or innovative ideas
  • Business or marketing savvy
  • Data sense or math/statistics concepts
  • Public health domain knowledge
  • Computational Linguistics or Digital Humanities skills
  • Mapping or programming skills

No need to have all the skills, since teamwork is one of the hallmarks of a hackathon. Plus organizers will help you to find team members during the first day. (There’s also a role if you just want to be a volunteer.) Teams will also have access to lots of free and open San Diego datasets! The event is free, and food and beverages will be provided. Teams will have an opportunity to win awards, and cash prizes, for the best overall project.

The hackathon has been organized by:

Food and beverages will be provided as courtesy

Judges are four professors at San Diego State University: Amy Schmitz Weiss, associate professor of journalism and media studies; Roger Whitney, professor of computer science; Atsushi Nara, assistant professor of geography; and Adam Hammond, assistant professor of English and comparative literature. Projects will be judged based on quality of the idea, innovativeness/creativeness, practicality/readiness; technical difficulty, and quality of the presentation.
For more information, or to register, click here.

Data Science Pop-Up, Domino Data Lab

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Date/Time
Date(s) - 02/22/2017
8:00 am - 8:00 pm

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Bringing together data science leaders for a day-long exploration of emerging practices and technologies.

Domino Data Lab created the Data Science Pop-up series to bring together quantitative researchers who are passionate about asking the right questions and identifying problems worth solving. Our goal is to present real stories about the cutting edge work being done today. The event is a is a day-long forum where people share ideas, develop best practices, and network with others in their field. We welcome anyone working in the field of data science to join us for this one-of-a-kind event.

One full packed day

We’re honored to host the most cutting edge industry experts, talent and companies in San Francisco and beyond. Featuring speakers from all over the globe.

 Location

Hosted at Galvanize HQ in the heart of San Francisco. Galvanize local campuses offer beautiful coworking space, data science classes and amazing event space.

Free food and drink!

Complimentary light breakfast, gourmet lunch, coffee, tea and topshelf cocktail hour

Accommodation

We have a special rate at the W in San Francisco, walking distance from Galvanize. Mention Domino Data Science Popup to receive a special rate.

WHAT PEOPLE SAY

They love it! To read what previous attendees had to say and for more information click  HERE

CONTACT INFORMATION

email: datapopup@dominodatalab.com

Domino Data Lab

548 4th Street

San Francisco, Ca 94107

 

WSDM 2017

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Date/Time
Date(s) - 02/06/2017 - 02/10/2017
All Day

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WSDM (pronounced “wisdom”) is one of the premier conferences on web inspired research involving search and data mining, with an emphasis on practical yet principled novel models, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.

WSDM 2017 has a comprehensive program with 3 keynotes, 4 invited talks for Practice & Experience Track, paper presentations, 5 workshops, 3 tutorials, a doctoral consortium and a Startup Day.

Conference venue

WSDM 2017 will be held at The Guildhall, in the heart of Cambridge, UK. The Guildhall is a listed building on the south side of Market Hill, the market square in Cambridge.

Banquet

The Banquet will be at Ely Cathedral, which is located a short ride north of Cambridge. It has its origins in AD 672 and the present building dates back to 1083.

 

Reception

Credit: Damien Vickers Photography

The Reception will be held at the MAA Museum of Archaeology and Anthropology in Cambridge. Originally founded in 1884, the MAA has one of the most important collections of its kind in the UK.

 

 

 

Key note speakers:

 Ricardo Baeza-Yates, NTENT, USA; UPF, Spain; U. de Chile

Claire Cardie, Cornell University

Steve Young, Cambridge University

Important dates

February 10, 2017 Workshops
February 7-9, 2017 Main conference
February 6, 2017 Startup Day
February 6, 2017 Tutorials and Doctoral consortium
ACM is able to provide visa support letters to attendees as well as authors with accepted papers, posters, or members of the conference committee.

For visa support letters, please mail supportletters@acm.org. Those requesting a letter should allow up to one week to receive it. All requests are handled in the order they are received. The information below should be included with the request.

  • Name (as it appears on attendee’s passport) and mailing address
  • The name of the conference attendees is registering for
  • Attendee’s registration confirmation number
  • Authors may indicate their paper title. Speakers can provide the title of their talk.
  • Include a fax number or email address of where letter can be sent
ACM does not provide letters for transport of vendor or presenter equipment. ACM suggests shipping the materials insured to the conference facility.

Contact information for this conference :

Milad Shokouhi and Maarten de Rijke, general chairs