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Archived Webinar: Teaching Data Science

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This webinar, “Teaching Data Science: Core Learning Outcomes and Topics for an Introductory Course,” is an overview of data science, with special focus on the tools and skills necessary to teach and do the key components of data science (such as data cleaning, visualization, and machine learning).This webinar is of value for faculty who teach, […]

Categories: Big Data, MentorSpace, SAGE Posts

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Researching Big Data – Podcast

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The Podcast In a new installment of The Authority File podcast titled “Researching Big Data: Putting Data in an academic context,” host Bill Mickey interviews SAGE Publishing’s Head of Product Innovation, Ian Mulvaney, and three data academics from University of Southern California Libraries department, Caroline Muglia, Andy Rutkowski, and Eimmy Solis. This instalment is part […]

Categories: Big Data, Teaching

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Big Data and Social Research Roundup No. 22

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This month’s big data newsletter opens with a description of the launch of the 2018 Summer Institute in Computational Social Science sponsored by the Russell Sage Foundation and Alfred P. Sloan Foundation and held at Duke University in mid-June.. Meanwhile, SAGE is currently working with Nesta to organise a one day event in September 2018 […]

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Excel Tips: Navigating an Excel table

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Collecting, analyzing, and reporting with data can be daunting. The person that 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 […]

Categories: Big Data, MentorSpace

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Evaluating a Data Source

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Collecting, analyzing, and reporting with data can be daunting. The person that 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 […]

Categories: Big Data, MentorSpace

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Archived Webinar: A Social Science Perspective on Data Science

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In this archived webinar, Claudia von Vacano and Geoff Bacon, both at the University of California, Berkeley D-Lab and both instructors for SAGE Campus’s “Introduction to Data Science for Social Scientists” course discuss why data science is important to the social sciences, and what social scientists add to this vibrant conversation in the webinar. This […]

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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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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 / 30 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 / 6 members

Actor Network Theory

Discussion and application of ANT

Public Group / 24 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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Introduction to Data Visualisation

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Date/Time
Date(s) - 06/25/2018
All Day

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Introduction

Starting June 25th SAGE Publishing and Andy Kirk are teaming up to offer a full 3 month course in where students will build up a detailed understanding of all the different aspects of decision-making that go into any data visualization design work.

This course is approximately 10 hours of learning, which you can complete at your own pace during your 3 month access period. Your course instructor Andy will be periodically checking in on the forum discussions to offer guidance where needed.

Course Overview

Nothing communicates a complex story faster than the perfect visualization. Learn from Andy Kirk, data visualization guru, how to transform your data into powerful visualizations and info-graphics.

The focus of the teaching is to impart the craft of this discipline – you will understand what to think, when to think, and how to resolve all the analytical and design decisions involved in any data-driven challenge.

If you work with any form of data, big or small, and want to increase the impact of your research, this enlightening and exciting course is for you.

Additional Materials

This course comes with a free copy of Andy Kirk’s book, Data Visualisation: A Handbook for Data Driven Design. The book isn’t essential for completion of the course, but there are sections of the course where you might find it interesting to do a little outside reading.

Course objectives

By the end of the course you will be able to:

  • harness color, composition, interactivity, and annotation to tell your data story
  • tailor your visualisations to your audience’s needs and integrate critical thinking into your design decisions
  • determine what is the most important, relevant and interesting content to portray to your audience

Enrollment

The enrollment cost for the 3 month access and teaching by Andy Kirk is $399. To Enroll in the course reserve your spot via hyperlink.

For anymore information CLICK HERE.

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Other Information

A Discount is offered to those who attend the Data Visualization: Game of Decisions webinar that is FREE on June 1st. To attend the Free Webinar Please RSVP before June 1st HERE.

To learn about Andy and his previous classes CLICK HERE for MethodSpaces synopsis and write up of his previous classes. Be Sure to look out for more of Andy’s Classes on MethodSpace.

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Andy Kirk is a UK-based data visualization specialist: A design consultant, training provider, lecturer, author, speaker, researcher, and editor of an award-winning website. Since founding Visualizing Data Ltd in 2011, he has delivered over 230 public and private training workshop events in 19 countries. Recent clients include Spotify, Telefónica, Tesco, Hershey, and CERN.

Andy is a visiting lecturer teaching data visualization on a Master’s degree program at Imperial College London and is the author of two books, with the most recent work published in 2016 by SAGE and titled ‘Visualising Data: A Handbook for Data Driven Design‘. He also provides data visualisation services to the Arsenal F.C. performance team.

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