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Today, we measure the size of the Web in exabytes and are uploading to it 15 times more data than we were 3 years ago. Technologies for sensing, storing, and sharing information are driving innovation in the tools available to help us understand our world in greater detail and accuracy than ever before. The implications of analyzing data on a massive scale transcend the tech industry, impacting the environmental sector, social justice issues, health and science research, and more. When coupled with astute technical insight, data is dynamic, accessible, and ultimately, creative. Marissa Mayer will speak to the power of data and the role it plays in Google's innovation. She will present on the technology trends that are changing our relationship with data, discuss fresh Google products that creatively put data to work, and offer her vision for the future of data in driving the Web forward.

Data analytics is shorthand for the method of warehousing, organizing, and interpreting the massive amounts of data accrued by online learning platforms and student information systems - now as elemental to higher education as classrooms and filing cabinets - in hopes of learning more about what makes students successful, then giving instructors (and the platforms themselves) the chance to nudge those students accordingly.

UCINET is a social network analysis program developed by Steve Borgatti, Martin Everett and Lin Freeman. The program is distributed by Analytic Technologies. UCINET works in tandem with freeware program called NETDRAW for visualizing networks. NETDRAW is installed automatically with UCINET.

In the first commercial application of CeNSE technology, HP and Shell will build a wireless sensing system to acquire high-resolution seismic data. By vastly improving the quality of seismic imaging, the new system will allow Shell to more easily and cost-effectively explore difficult oil and gas reservoirs.

With so much technology and networking available at such low cost, what wouldn't you enhance? What wouldn't you connect? What information wouldn't you mine for insight? What service wouldn't you provide a customer, a citizen, a student or a patient?

Along with about 400 or so others world-wide, I've signed up for the LAK11 (Learning and Knowledge Analytics) MOOC run by George Siemens and colleagues at the Technology Enhanced Knowledge Research Institute (TEKRI) at Athabasca University. We're now into week 2, and I think I'm just about getting into the swing of things.

The British universities, Oxford and Cambridge included, are under siege from a system of state control that is undermining the one thing upon which their worldwide reputation depends: the caliber of their scholarship. The theories and practices that are driving this assault are mostly American in origin, conceived in American business schools and management consulting firms. They are frequently embedded in intensive management systems that make use of information technology (IT) marketed by corporations such as IBM, Oracle, and SAP. They are then sold to clients such as the UK government and its bureaucracies, including the universities. This alliance between the public and private sector has become a threat to academic freedom in the UK, and a warning to the American academy about how its own freedoms can be threatened.

Presentation slides from the January 25 session with Dragan Gasevic

"IN-SPIRE™ -- an information visualization software application -- provides a wealth of tools for exploring textual information, including query, subset, and trend analysis tools. Through visual representations of information, users can rapidly discover hidden information relationships from a variety of data sources such as technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and e-mail message traffic."

The Bill & Melinda Gates Foundation, the world's largest philanthropy, and the foundation associated with Pearson, the giant textbook and school technology company, announced a partnership on Wednesday to create online reading and math courses aligned with the new academic standards that some 40 states have adopted in recent months.

Papamitsiou, Z., & Economides, A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Educational Technology & Society, 17 (4), 49-64. This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic planning. We examined the literature on experimental case studies conducted in the domain during the past six years (2008-2013). Search terms identified 209 mature pieces of research work, but inclusion criteria limited the key studies to 40. We analyzed the research questions, methodology and findings of these published papers and categorized them accordingly. We used non-statistical methods to evaluate and interpret findings of the collected studies. The results have highlighted four distinct major directions of the LA/EDM empirical research. We discuss on the emerged added value of LA/EDM research and highlight the significance of further implications. Finally, we set our thoughts on possible uncharted key questions to investigate both from pedagogical and technical considerations.

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"This study analyzes the outcomes at more than 380 higher education institutions. It looks at what the chosen strategies have accomplished, in what ways institutions use the data they collect, whether institutions are investing more resources in tools that enable them to collect and manipulate management information, and the degree to which information and analysis are being used to support institutional decision making."

Social and technological networks don't have a centre. When we learn in a classroom or in a learning management system (LMS), a central place exists where we can go for readings and

Which brings us to the underlying point of the piece - we are all leaving digital trails behind us, as we make our way around our individual lives. These trails are largely considered individual - even ethereal - yet technology is making these trails more visible and more readable everyday.

Over the last year, I've produced five data-driven pieces for Wired UK. Four of them have been for the two-page infoporn spread that can be found in every issue. I've looked at the UK's National DNA Database, used mined Twitter data to find people's travel paths, and mapped traffic in some of the world's busiest sea ports.

The majority of the information that we use in our daily lives is "dumb", or unconnected. The next step is "linked data", or data that talks to each other.

The availability of new sets of data has changed the way we live our lives: here are 10 examples of data which have changed everything from how we assess wars to how companies deliver milk.

Among the greatest innovations might be the advent of real-time analytics, which allow the processing of information in real time to enable instantaneous decision-making.