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Data in the News: The Opioid Crisis

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The opioid crisis has dominated the U.S. news cycle for the past decade and in 2017 there were c. 50,000 opioid related deaths with no sign that the number of death will begin to decrease any time soon. Here Diana Almen helps interpret the data.

Categories: Big Data, Social Issues, Teaching

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About Data Visualizations: Bar Graphs

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Simple but powerful, bar graphs are one of the most common charts used to compare categorical data, which are data that can be grouped into categories like race and sex. Here Diana gives some tips for making the perfect Bar graph.

Categories: Big Data, Data Analysis

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Creative Approaches with Big Data

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Quantitative researchers, including those who work with Big Data, think creatively. This collection of open access articles might give you some food for thought about your own research.

Categories: Big Data, Creative Methods, Focus Series, Open Access, Uncategorised

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Anonymizing Software Text Wash Wins Concept Grant

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Text Wash, a new software tool that anonymizes personally identifiable text data, making it accessible to social scientists without compromising its usability for research, has just won the SAGE Concept Grant. This year’s award comes to roughly $30,000. Text Wash is being developed by Bennett Kleinberg, Maximilian Mozes and Toby Davies from the Department of […]

Categories: Big Data

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Data Visualization Across Research Paradigms

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A MethodSpace focus for May is about ways to use visuals to represent key ideas, themes in the data, and results of the study, in qualitative, quantitative, and mixed methods research and evaluation. Find all posts in this unfolding series. Let’s start thinking about visualization. The term “data visualization” is commonly used to describe the […]

Categories: Big Data, Creative Methods, Evaluation, Focus Series, Multimodal, Qualitative, Quantitative, Students, Teaching, Tools and Resources, Uncategorised, Visuals

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APS Panel: Connecting Behavioral Scientists and Tech

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The beneficial symbiosis between behavioral scientists and digital technologists came a cropper earlier this year when the Cambridge Analytica scandal highlighted the fraught relationship that can arise when ethical concerns are overlooked or ignored. And yet the explosion of data comping from corporate sources (35 zettabytes are expected by 2010) and the burgeoning numbers of […]

Categories: Big Data, Editorial, SAGE Posts, Video

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RMF Highlight: Big Data Research in the Social Sciences

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The Economic and Social Research Center hosted the biennial Research Methods Festival at the University of Bath. If you weren’t able to attend in person, enjoy this series of posts.  Today’s Festival highlight is from SAGE’s own Katie Metler, the Executive Head of Methods Innovation at SAGE Publishing. She has generously shared her presentation slides: Katie discussed […]

Categories: Big Data, Computational Social Science, Methods Type, Mixed, Opportunities, Qualitative, Quantitative, Students, Teaching, Tools and Resources, Uncategorised, Video

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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 […]

Categories: Big Data, SAGE Posts, Video

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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 […]

Categories: Big Data, Ethics, SAGE Posts, Video

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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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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 / 11 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 / 35 members

Actor Network Theory

Discussion and application of ANT

Public Group / 27 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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Missing Data

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Date/Time
Date(s) - 02/19/2019 - 02/20/2019
9:00 am - 5:00 pm

Location
SpringHill Suites San Diego

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Statistical Horizons is hosting a 2-day seminar, taught by Dr. Paul Allison, titled Missing Data. The course will take place in San Diego, California, from February 19-20.

This course will cover the theory and practice of both maximum likelihood and multiple imputation. Maximum likelihood for linear models will be demonstrated with SAS, Stata, and Mplus. Mplus will also be used for maximum likelihood with logistic regression. Multiple imputation will be demonstrated with both SAS and Stata.

Conventional methods for missing data, like listwise deletion or regression imputation, are prone to three serious problems:

  • Inefficient use of the available information, leading to low power and Type II errors.
  • Biased estimates of standard errors, leading to incorrect p-values.
  • Biased parameter estimates, due to failure to adjust for selectivity in missing data.

Registration

Anyone who does statistical analysis can benefit from new methods for handling missing data. To take this course, you should have a good working knowledge of the principles and practice of multiple regression.

This two day course hosted by Statistical Horizons is $995 for two days, which includes all materials. To register for the course CLICK HERE.


Data Science for the Public Good Symposium 2018

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Date/Time
Date(s) - 08/09/2018
12:30 pm - 5:00 pm

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Please join the The Social and Decision Analytics Laboratory at Virginia Tech for this summer’s Data Science for the Public Good (DSPG) Symposium where 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 DSPG program focuses at 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.

Keynote Speakers:

• Catherine Woteki, former undersecretary for research, education and economics and chief scientist, U.S. Department of Agriculture

• Wayne Strickland, executive director, Roanoke Valley-Alleghany Regional Commission

If you are an individual with a disability and desire an accommodation, please contact Lori Conerly at loric17@vt.edu during regular business hours at least ten business days prior to the event.

Zoom Information:
Join from PC, Mac, Linux, iOS or Android: https://virginiatech.zoom.us/j/553667234  
NOTE:  Zoom will open at 12:50 p.m. and the symposium will begin at 1 p.m.

AGENDA:
12:30 p.m. Registration
1 p.m. Welcome & Introductions
Sallie Keller, Director and Professor of Statistics, SDAL
1:15 p.m. Keynote Speakers
1:15-1:45 p.m. Catherine Woteki
1:45-2:15 p.m. Wayne Strickland
2:15–2:30 p.m. Poster Slam – DSPG fellows and students promote their research posters in a fast-paced session and invite the audience to review their posters
2:30–5 p.m. Poster Session & Networking Reception

To register for the free event, CLICK HERE.

SDAL brings together statisticians and social and behavioral scientists to embrace today’s data revolution, developing evidence-based research and quantitative methods to inform policy decision-making.

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.

* * *

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

Categories


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
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