DataBBQ "Open Data in Action" #DataVizRM

Dear DataLovers,

Open Public Data is the entrance not only to deep knowledge and understanding but also to collaborative actions that can have a huge social impact on our life as citizens. That's why we bring you all full day DataViz Meetup of inspiration, education, and conversation focusing just on "Open Data in Action."

This time we will go to Heidelberg, to meet a full Saturday at the Villa 7. Learn, code and have some sausages. Besides keynotes, we will offer you some hands-on activities to turn your knowledge into action.

AGENDA

https://www.youtube.com/watch?v=y_-878ZrhC0

10:00 Registration
10:30 Welcome Note
10:45 Keynote by Frauenhofer Institute
11:00 Introduction by CorrelAid
11:30 Coffee Break
12:00 Mini-Hackathon
13:00 Lunch
16:00 Keynote by SAS Software
16:30 Presentation of Results
17:00 BBQ

KEYNOTES

Jörn Kohlhammer (https://www.igd.fraunhofer.de/en/institute/about-us/contact-persons/jorn-kohlhammer): "Open Data Use Cases – the Visual Analytics Approach."

Jörn Kohlhammer is head of the Competence Center for Information Visualization and Visual Analytics and honorary professor at TU Darmstadt. His center develops innovative visualization solutions for several industry sectors, including visual business intelligence, visual business analytics and decision support in the public sector.

To visualize open data, there are a few simple rules to follow – like with any big data project. However, not all visualizations work equally well for all data types and purposes. When we face large amounts of data, a few more steps are needed to get to meaningful answers. This talk will show the path from big data to visual understanding, with an open data example. We will see how to make use of open data and transform it to answers, interesting everyday questions or provide valuable business insights or new business cases.

https://www.igd.fraunhofer.de

Fabian Buchert (https://www.linkedin.com/in/fabian-buchert/): "Visualizing Text Insights from Tweets – The Super Bowl 2017"

The super bowl is the biggest and most popular sports event in the United States of America. Fan bases of both finalists are usually very active on social media channels to interact with their supporters. I will take you on a visual journey to revive the last super bowl with its emotional ups and downs, using methods of text analytics.

https://www.sas.com

MINI-HACKATHON

CorrelAid - Data for Good (http://correlaid.org/): "Open Petition - Platform for citizen's initiatives."

// the problem

http://openpetition.de provides a platform a free and non-commercial platform, where citizens make their requests public, coordinate their actions and open a dialog with elected representatives. They host thousands of petitions signed by millions of citizens. openpetition.de are making all their data available under a Creative Commons license hoping that it will be helpful to others and that maybe some ideas to improve their site will arise. The data provide ample opportunity for analysis and visualization of all skill levels. For instance, if you're interested in visualization you could visualize where and when petitions are signed, if you are interested in the statistical analysis, you could analyze which features of a petition predict success or if you are into machine learning you could try to identify bots signing petitions, if there any.

// the challenge

The workshop is intended as brainstorming session too, an opportunity to just try out things, build your skills or make the first steps in a larger project. Because the data are licensed under a Creative Commons license, you can continue to use them after the workshop and further develop your projects. The team behind openpetition.de are interested in learning what you've been able to do with the data and are looking for ideas to further improve the site.

// data provided

You will be provided with a full mySQL dump of the online petition platform openpetition.de. This includes all petitions as well as full list of anonymized signatures -- i.e. more than GB of data. The data are provided in a collection of CSV files and are accompanied by a codebook so that everyone can get started working on the data quickly. Working with millions of rows of data may bring your machine to its limit -- therefore, we also provided a smaller random sample subset of the signature lists.

// requirements

You do not need any specific skills, apart from a basic literacy in the data analysis software of your choice, to participate in this workshop.

LOGISTIC

If you want to come by car please ensure that you offer a ride via flinc (https://flinc.org/groups/514-tedxrheinmain-datanauts) . If you want to go by public transportation, you can take Bus 34 from Heidelberg Central Station to the direction "Pfaffengrund" and leave at station "Haarlaß."

More updates will follow.
Cheers://Wolfgang #DataVizRM

SPONSORS

The DataViz Meetup would not be possible without the generous support of partners and sponsors. They share our passion for inspiring ideas and enable the events to take place. We thank them for both!