Help Send Gnip to SXSW!

Last year at SXSW 2012, we sent a group of people — myself, Chris Moody, Brad Bokal and Rob Johnson. We received so much value meeting our clients, attending sessions and talking to people about social data, we really wanted to come back in a more meaningful way in 2013. Since Gnip’s focus for marketing is on thought leadership, we submitted several panels to talk about what we know best — social data. Below are the SXSW panels that Gnip submitted for, and we’d love for you to log-in and give us some votes.

Social Cocktail: Getting the Data You Need 
Chris Moody, Solo Presentation

Businesses are struggling to understand what social data sources they need to make the right decisions for their businesses. Should businesses incorporate data from social networks, blogs, comments and everything else under the sun? Creating the right mix is like creating a social cocktail – you need to understand the properties of each social media publisher to get the right mix. Using data science from billions of social data activities, Chris will talk about attributes of each social media publisher.

Changing the game for businesses, unexpected events (e.g. natural disasters) and expected events (e.g. the Super Bowl) can have a significant impact on businesses and the types of social data they need to make decisions. What kind of wrench can these events throw into the best laid plans?

Case studies, driven by data science, will complete the picture of what types of social data matter for businesses.

The Data Scientist Will Be Replaced by Tools 
Scott Hendrickson, Panel

Can data science tools replace data scientists before this field has even taken flight?

Many startups and established companies are building tools that enable users to enact data science by interacting with data at a high level. We will debate the proposition, “In the future, data scientists will be replaced by data science tools.” The goal will be to explore the definitions and assumptions data scientists and people who develop tools about the line between best practices and human expertise.

Ultimately, the panel will explore what unique attributes data scientists and tools bring to the field of data science.

Getting Started With Social Data at Scale
Rob Johnson, Panel

In the five years since Twitter’s “firehose” of data first entered our consciousness, social media data has become a critical part of marketing initiatives, business intelligence and even hedge fund trading algorithms. Today, all kinds of data about social activity are available in ever-growing volumes from many social networks. This has led companies of all sizes to try to gain an information advantage from consuming and analyzing social data.

There’s just one problem… This is really hard!

Each of the panelists has extensive experience building systems that produce, deliver, consume and analyze social data at massive scales. They’ll share their war stories, insights, tips and tricks to help you tackle the policy, technical and business problems you’ll encounter when you get started consuming and analyzing large amounts of social data.

The Social Data Ecosystem in Public Health
Charles Ince, Panel

A decade ago, public health media campaigns measured their impact by evaluating the relationship between message exposure and the targeted behavior. Given the advent and wide diffusion of social media, measuring simple message exposure doesn’t begin to capture the information environment influencing people’s health behavior. Not only are people passively exposed to health-related messages, they actively search for and interactively share messages, news, product promotions, and other health-related content via multiple social media. In order to capture, measure, and evaluate this new media paradigm, we must understand the social data ecosystem—from source to application. This panel opens a lively discussion among leaders from key communities in the social data universe. Three case studies from tobacco control research will provide the context for describing the evolution of the social data fire hose, its management, and its application to address public health problems.