Twitter archives are a rich source of data for doing research into numerous things: Learning about social media and interaction networks, gaining insights into movement patterns based on geolocations and even doing sentiment analysis based on the tweets. And the best part of it: Unless you have a protected Twitter account this data is already public. So why not share it? The TwArχiv takes in your Twitter archive and generates interesting visualizations from your own tweets, including tweet volume over time and your interaction/movement patterns.
"This discussion paper explores the rapidly evolving landscape of how we behave and interact online, and how businesses respond. The internet has transformed how we live, work and relate to one another. We can make 'friends' around the world without ever saying 'hello', compare products from dozens of shops without leaving the house, or plan a date with a stranger without breaking a sweat. Overall it has proven a powerful force for good; delivering significant benefits to the economy and to consumers in the form of greater choice, personalisation, and incredible convenience."
In support of our mission to benefit people and society, the Partnership on AI intends to conduct research, organize discussions, share insights, provide thought leadership, consult with relevant third parties, respond to questions from the public and media, and create educational material that advances the understanding of AI technologies including machine perception, learning, and automated reasoning.
Wearable sensor technology has the potential to transform health care and our understanding of our own bodies and habits. The investigation and testing of these sensors in the commercial sector offer an unprecedented opportunity to leverage biometric data, both to improve individual health through the development of better products and to advance the public good through research. However, research with wearable sensor data must be done in a manner that is respectful of ethical considerations and consumer privacy