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Are you new to data journalism or does this happen to be your first time at a CAR conference? If so, this session will help you get on track to make sure that you get the best experience possible from the 2012 CAR Conference. We’ll highlight sessions and give you tips for success during and after the conference.
by Noah Smith
A computational linguist describes key ideas in thinking about text as data that, through statistics, can help us understand the behavior of people and society. We'll show a range of examples that illustrate tradeoffs in statistical and computational complexity, linguistic sophistication, and weak vs. strong domain assumptions.
Erasing to the top — How to tell if school testing gains are legitimate or too good to be true.
Let your audience search your data. Learn tricks on how newsrooms can use Microsoft Cloud and Google Docs to quickly and easily display dynamic information online without programming.
NewsCamp::From words to data and back
Jam Sessions: Programming skills are required for this more loosely organized track. We'll begin by tackling python-based Natural Language Toolkit (NLTK) and explaining what it can do. Attendees will work together on ways to apply more sophisticated text analysis using NLTK to their reporting.
If you will be attending NewsCamp and the CAR conference, there is no extra charge for Newscamp but you must register for the hands-on portion. Space is very limited so please only sign-up if you plan on attending.If you plan on attending only NewsCamp, please contact Amy Johnston to register: firstname.lastname@example.org or 573-884-1444.
NOTE: Registration is required for this session.
Reporters are used to working with rows and columns, but some of the best data available comes in the form of unstructured text. This session will give a sense of the tools and techniques critical for working with unstructured data, as well as their applications in the newsroom.
by Jennifer LaFleur and David Hunn
Getting any record can be a challenge, but wrangling data can introduce even more challenges. We’ll give you some tools and tips for getting data out of government agencies.
Attendees will learn how to use tools for tackling unstructured data and text. These sessions will cover DocumentCloud, entity extraction, topic detection and more. Programming skills are optional for these classes, which will teach you tools you can bring back to your news organization.
NOTE: Registration is required for this session.
See how journalists are using geographic information system (GIS) mapping to plot trends and uncover hidden spatial relationships. Also, learn how open-source and commercial GIS programs compare.
by Peter Aldhous and Peggy Heinkel-Wolfe
What is network analysis (aka social network analysis)? How can I use it in my reporting? We'll cover the basic concepts involved in analyzing the connections between people and organizations, and provide examples of how network analysis can be used – from documenting cronyism in the selection of a Grand Jury, to visualizing differences in the Twitter conversations surrounding the Occupy and Tea Party movements.
by Charles Ornstein and Jeff Porter
All newsrooms can produce meaningful stories about health care in their own communities with a dose of data. This session will focus on Medicare and Medicaid data you can localize, how to track disciplined doctors in your state, and the care of vulnerable residents in nursing homes. You’ll leave with a handout listing online resources to explore and tips for both CAR beginners and longtime data users.
We'll discuss concrete and essential tools for investigating business with data. This session will look at U.S. and global corporate data and navigating your way through the tangled (and incomplete) web with OpenCorporates.
Data journalists are good at finding data, getting data, cleaning it and analyzing it, but what do you do when it comes to the visualization? Many of us are lost when it comes to color theory, type and legends. This session will walk you through ways to help you make the most of your visualizations.
Often journalists report on events as they happen. But when reporters start asking questions, following up on hunches and digging with data they often find there is more to the story. From serial killers to banks to overdoses, this session will help you understand how to use everything from statistical analysis to basic data skills to investigate the news.
Transparency advocates inside and outside of government are pushing to make more data available. Lean how you can tap into this information for your analysis and web applications.
by Steve Doig
Where is the next generation of CAR reporters and news apps developers? Its clear that the unmet demand for data driven jobs won't slack off any time soon. What skill set divides current j-school graduates from succeeding in these jobs? How and where can j-school grads get these skills, and what is being done to ensure future grads will be prepared to dive into future data projects?
Note: This is a continuation of the Mini-Boot Camp classes that begin Friday, February 24 at 2 p.m. Pre-registration is required. To register, go to Friday's Mini-Boot Camp schedule and follow the registration link. For questions please contact email@example.com
Kickstart your data skills with IRE's mini boot camp. This series of hands-on classes will introduce you to spreadsheets and databases with IRE's proven techniques. IRE’s current and past trainers will walk you through sorting, calculating and interviewing data. You'll come away with a solid base for using data analysis in your own newsroom. In addition, we'll provide you with our boot camp materials to help keep you on track long after you leave the conference.
Only 36 seats are available and there is an additional $40 registration fee. Pre-registrations are accepted on a first-come, first-served basis. Registration can be done online when you register for the conference. Sessions will be held on Friday and Saturday afternoon and Sunday morning.
Data to text, and text to data. Some types of news stories are really dressed up data, such as financial reports and sports scores, and we'll take a look at the newsrooms and technologies that are already being used to produce these stories automatically. In the other direction, documents like financial disclosures or bulk incident reports contain useful data that can be extracted. Tools for reporting on large volumes of unstructured text are coming along slowly, but much is possible today.
23rd–26th February 2012