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The community dedicated to the discussion and advancement of Big Data Analysis

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Data in the News: Teacher Salary Protests

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Collecting, analyzing, and reporting with data can be daunting. The person SAGE Publishing — the parent of MethodSpace — turns to when it has questions is Diana Aleman – editor extraordinaire for SAGE Stats and U.S. Political Stats. And now she is bringing her trials, tribulations, and expertise with data to you in a monthly […]

Categories: Big Data, MentorSpace

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Academic Researchers Need Support and Incentives to Share Data

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Making data available for other researchers to find, use, reuse, and reproduce is fundamental to open science, and ultimately makes research more efficient and effective. Yet despite policies that encourage and require data sharing, researchers in the UK and US report lower percentages of data sharing than average.

Categories: Big Data, Research

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Where Should I Start – R or Python?

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If you conduct social science research and you are using Stata, SAS, or SPSS, you might be looking to learn how to use some of the new tools on the block. R and Python are the two popular programming languages used by data analysts and data scientists, that provide many more features than the aforementioned […]

Categories: Big Data, Quantitative, SAGE Posts, Tools and Resources

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Big Data and Social Research Roundup No. 20

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In this month’s big data newsletter SAGE is offering readers something free! Through SAGE Campus, the newsletter is launching a free short course on big data for social scientists. Scroll through the newsletter below to learn more about this great opportunity to try out SAGE Campus offerings and see they can help your research (and […]

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How Do You Feel About Companies With Personal Data

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The recent revelation that Cambridge Analytica was able to acquire the Facebook data led to a surge of interest and questions around what companies do with people’s data. Amidst all of this, little attention has been paid to the feelings of those whose data are used, shared, and acted upon.

Categories: Big Data, Ethics, Research

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Video: The Big Ethics Needed for Big Data

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Is the skills gap in the social sciences and challenges with data access limiting the potential for big data to be put to “good” use? In this taped debate from the United Kingdom’s Economic and Social Research Council (ESRC) Festival of Social Science, Katie Metzler, head of methods innovation at SAGE Publishing, moderates a panel […]

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Putting Big Data to ‘Good’ Use

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Big data and its impact on society and social policy has remained at the forefront of discussions within the social sciences for several years. But as we advance further into this data driven society, examples of big data having been used to maximize profit and cause harm have made global headlines. Those in favor of […]

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Archived Webinar: Tips for Student Success With Data

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“I’ve found,” says Diana Aleman, assistant editor of SAGE Stats and MethodSpace blogger, “that students are consistently being called upon to pull data and/or statistics into their projects all the time. … Students are having a lot of trouble using the data sets that they’ve found and using them effectively in their projects or in […]

Categories: Big Data, Editorial, MentorSpace, Quantitative, SAGE Posts, Tools and Resources, Video

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Weaponized Feeds and Text as Data: Notes from IC2S2 2017

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We just returned from the 3rd International Conference of Computational Social Science, hosted by GESIS-Leibniz Institute for the Social Sciences in Cologne, Germany. It was an amazing conference — really well organized by the incredible local team — with a bunch of really interesting talks across the three days. It was inspiring to meet so […]

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Archived Webinar: Presenting Data Effectively

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Crystal clear graphs, slides, and reports are valuable – they save an audience’s mental energies, keep a reader engaged, and make you look smart. This webinar held on June 6, 2017, covers the science behind presenting data effectively and will leave viewers with direct, pointed changes that can be immediately administered to significantly increase impact. […]

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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 / 6 members

Actor Network Theory

Discussion and application of ANT

Public Group / 24 members

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 / 28 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.

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Actor Network Theory

Discussion and application of ANT

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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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Free Webinar for Student Success with Data

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Date/Time
Date(s) - 09/27/2017
2:00 pm - 3:00 pm

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Come join this free webinar on collecting, examining, and reporting data. SAGE will be hosting a free one-hour webinar on September 27, starting at 2 p.m. E.T. Data Services and Government Information Librarian, Lynda Kellam, discusses how to best help your students with finding data, followed by SAGE Stats’ Diana Aleman who helps guide you on analyzing and visualizing data.

Lynda Kellam

Space will be limited and is available for RSVP today, to reserve a spot. The webinar is tailored to both students and educators nation wide, and does provide practical knowledge that could be past down and taught to others. Those who plan on attending should look forward to coming out with knowledge on how to interpret and find data that is reliable and be able to present data in jobs and in research areas.

As mentioned the webinar will take place at 2 P.M. eastern standard time but will also be available to all around the world. To register please click HERE.

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Bookings

Bookings are closed for this event.

Data Science for the Public Good Symposium

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Date/Time
Date(s) - 07/27/2017
1:00 pm - 5:00 pm

Location
Virginia Tech Research Center, Executive Briefing Center

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Join the Social and Decision Analytics Laboratory for this summer’s Data Science for the Public Good (DSPG) Symposium where our DSPG students and fellows will present their research projects. This symposium will highlight how the DSPG program equips new generations of scientists with the skills they need to develop data-driven policy and decision-making. The day’s host is Sallie Keller, director, Social & Decision Analytics Laboratory.

The DSPG program focuses on the interface of data analytics and social science to address real problems at the local, state, and federal levels of government. The symposium will include two keynote speakers followed by a poster session and networking reception.

Registration:

Click here to sign up for the DSPG Symposium. Registration for this event is free and open to the public.

Keynote Speakers:

  • Nancy Potok, Chief Statistician of the United States, Office of Management and Budget
  • David Yokum Director, The Lab @ DC, Executive Office of the Mayor

Webinar: Presenting Data Effectively

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Date/Time
Date(s) - 06/07/2017
10:00 am - 11:00 am

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In this free webinar, Stephanie Evergreen will address principles of data visualization, report, and slideshow design that support legibility, comprehension, and stick our information in our audience’s brains. Attendees will learn the science behind presenting data effectively and will leave with direct, pointed changes that can be immediately administered to significantly increase impact.

Evergreen’s presentation will be followed by audience Q&A. On line space is limited, so register today! To register, click here.

Encounters with big data: An introduction to using big data in the social sciences, University of Essex, 31/07/2017

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Date/Time
Date(s) - 07/31/2017 - 08/04/2017
All Day

Location
Essex Business School

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This 5-day course run by the UK Data Service will introduce key concepts and discussions around using big data in the social sciences, and introduce attendees to Apache Hadoop, an open source framework for analysing big data. This course will focus on quantitative data and will not cover in any detail text, social media, audio or other forms of non-numeric data. This course is part of the IADS Big Data and Analytics Summer School.

Level: Introductory

Experience/knowledge required: Experience using quantitative research data in the social sciences. A good understanding of statistical methodology and concepts like standard error and standard deviation. Competence in writing commands in a statistical computing environment like Stata, R or SPSS.

Target audience: Aimed at experienced researchers, statisticians, or data managers

Booking

Getting Comfortable with Big Data

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Date/Time
Date(s) - 05/27/2017
4:00 pm - 5:30 pm

Location
Sheraton Boston Hotel

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This session at the annual meeting of the Association for Psychological Science in Boston, Massachusetts follows up from a white paper on ‘Who is doing computational social science?’ released last year by SAGE Publishing, and will look at the back story of Big Data social science and the fast-paced evolution of entice opportunities and methods to confront those challenges. Who is doing computational social science, and why? Among social scientists and humanities scholars, there is a clear appetite to engage with data at an accelerated rate. And while a recent study suggests that a majority of researchers who hadn’t yet used Big Data would like to, the challenge of the new remains.

Panelists 

  • Nick Beauchamp, assistant professor, Department of Political Science, NULab for Texts, Maps and Networks, Network Science Institute, Northeastern University
  • Ryan Kling, economist and senior associate at Abt Associates’ Health Division. Abt is a mission-driven, global leader in research, evaluation and program implementation in the fields of health, social and environmental policy, and international development.
  • Kenny Joseph, postdoc at LazerLab at the Network Science Institute at Northeastern University and a fellow at Harvard’s Institute for Quantitative Social Science.
  • Kris-Stella Trump, political scientist and policy researcher – currently a research specialist at the Center for Healthcare Delivery Sciences at Brigham & Women’s Hospital and Harvard Medical School, with a joint appointment to the Office of Evaluation Sciences at the General Services Administration.

The session occurs at Back Bay C Room in the Boston Sheraton at 4 p.m. on May 27.