by Becky Wang
Today, we have data – lots of it. We can process information – in many ways. We have models to understand our process. With these tools and a dash of creativity, we are discovering surprising patterns of human behavior and by extension, a way to accurately predict our desires and our future. In fact, we can quantify movements, behaviors, desires, and moods on a scale that wasn’t possible before a series of advances in processing power, developments in psychology, the science of social networks and collaboration, and most importantly, access to data. As we have evolved from Web 1.0 to 4.0 – in this anticipatory era – what will we dream up next? Beyond addressability and ad relevance, marketing initiatives and product development, how else can businesses utilize these advances? In advertising, industry, & humanity, can we make the leap from inductive logic to intuition? Can we supplement our brain mechanics with these new tools to finally predict what makes us happy?
Each year, thousands of technophiles descend upon Austin, bringing Internet-connected laptops, phones and tablets with them, and most of them think very little about keeping their personal communications secure. Open wireless networks in the convention center – and in hotels, bars and coffee shops – offer a convenient way to keep in touch with home, but also leave any data that is transmitted over those networks open to snooping by malicious individuals. In this session, host of Revision3 podcast Hak.5 and regular contributor on the TWiT network, Darren Kitchen, will walk attendees through live demonstrations of many ways in which their personal data are vulnerable while connected to the Internet at SXSW, and the steps they can take to keep that data private and safe. The tips and information from this session will benefit those who attend not only while they are at SXSW, but any time they sit down at their own local coffee shop and open up their laptop to fire off some email.
by Ross Perez
Data has been freely available on the web since its inception, but it has always been difficult to access and even harder to digest. Recently, a small but growing group of intrepid data geeks have been scrounging the web for data and turning it into something useful and comprehensible: an interactive visualization! This presentation will show you some of the most intriguing visualizations that have been published in the past year and even how to create your own. Perhaps most importantly, you will leave understanding why these visualizations and their creators are so important to the future of the web.
Self-hacking is about self-awareness, pattern spotting and behaviour change. It focuses on the end result of data collection: understanding and action. As important is "data literacy" i.e. data expertise at individual level, not just for businesses and institutions. Uncovering hidden cause and effect in one's behaviour increases individual's autonomy. To self-hack, we need to have access to analytical tools and raw data. Current 'info-graphics' are a far cry from the power a sophisticated data analysis could give to an individual user. What if I want to analyse my data differently to the analysis, let's say, Withings scales app provides, cross-analyse it with my travel data from Tripit to see if my weight is related to change in my diet during travel. Or any other activity I care to track. The possibilities are endless, if only individual users had access to their data and to far more sophisticated tools for data analysis and visualisation.
9th–13th March 2012