There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and …

This is a group for all Big Data professionals to include programmers, architects, platform specialists like Hadoop, MongoDB, GreenPlum, Cloudera, Hortonworks etc. We welcome Engineers, IT Professionals, Architects, Data Scientists, Analytics Experts, Sales and Marketing Professionals, Entereneurs. We will be holding lectures, tutorials, panel discussions, demos, hackathons and networking for all professionals. We will feayure local, regional and international conferences with world famo …

This group is dedicated to bringing the institutions and practices that constitute science into the 21st century. In recent decades, many disturbing trends have emerged that impede free scientific inquiry, slow lifesaving research, and otherwise impair the practice of science for the benefit of all humanity. Recently, the fledgling, International Open Science Movement has rallied around the promise of networked knowledge sharing possibilities. New P2P tools and paradigms enable science to fin …