Data Science and Computational Thinking [inc Big Data and Internet of Things]

Science and Engineering Practice 5: Using Mathematics and Computational Thinking Paul Andersen explains how mathematics and computational thinking can be used by scientists to represent ...

Empowered by free access to the Landsat data archive, earth scientists are using new computing tools to ask questions that were impossible to answer a decade ago.

It is a data-driven world. Big data and Analytics are the catch words of any business, they help enhance decisions and help organisations make informed choices. Over the years apart from capturing data and the needed statistics, it has also become imperative to use this data in the right way. While there are several different tools and solutions that help explore and analyse data so they can be used efficiently; there isn’t any single holistic way to examine and explore this data.

The Dataverse is an open source web application to share, preserve, cite, explore and analyze research data. It facilitates making data available to others, and allows you to replicate others work. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit.

A Dataverse repository hosts multiple dataverses. Each dataverse contains datatset or other dataverses, and each dataset contains descriptive metadata and data files (including documentation and code that accompany the data).

The Dataverse software is being developed by the Data Science team at Harvard's Institute for Quantitative Social Science (IQSS). Coding of the Dataverse Network software began in 2006 under the leadership of Mercè Crosas and Gary King. We benefited considerably from our experience with our earlier Virtual Data Center (VDC) project, which spanned 1999-2006 and was organized by Micah Altman, Gary King, and Sidney Verba as a collaboration between the Harvard-MIT Data Center (now part of IQSS) and the Harvard University Library. Precursors to the VDC date to 1987, comprising such entities as a stand-alone software guide to local data, preweb software, and tools to transfer cataloging information by FTP to other sites across campus automatically at designated times.

Transcript of Stephen Wolfram's talk at SXSW 2015 on the present and future of computing: Wolfram Language, image recognition, language-design philosophy, tweetable programs, computational thinking for kids, natural language as input, symbolic...

The guy behind Apple's Hypercard is creating ways for average people to easily program their own robots and other gadgets.

As part of its effort to expand beyond traditional types of academic publication, Big Data & Society has introduced an Early Career Researcher Forum targeted to scholars finishing or having recently completed advanced graduate degrees. More specifically the ECR forum seeks work by researchers reflecting about some of the challenges of their work (related to Big Data topics) in about 1000 to 2000 words with a range of illustrations, figures, etc. as well as a brief bio (100 words). The goal is to encourage reflexive submissions that explore what it means to be a researcher studying issues concerning big data and society.

For many researchers in the life sciences, Big Data is not just a buzz word—it's the daily reality for carrying out their work in areas like genomics, which is expected to equal if not surpass the data output of the particle physics community.

Recording of a Webconference Demo of the Open Science Data Cloud (OSDC) led by Allison Heath (Laboratory for Advanced Computing, University of Chicago) and Walt Wells (Open Cloud Consortium).

  We’re living in a digital age but many Australians are being left behind and lack the skills to take advantage of the education, health and social benefits of being connected. 1 in 5 Australian adults are not online* - that's almost 4 million people.  

In a rapidly changing world, today's students will need a whole new set of skills to solve tomorrow's problems. Computational thinking gives them the ability...

Fundamental to Computer Science is 'computational thinking', but this term is slippery. It implies learning to think like a computer, but thinking is a human concept that computers are not actually capable of.

Morten Middelfart, Chief Information Officer of Genomic Expression Inc. http://www.genomicexpression.com/ Hosted by the Biogerontology Research Foundation ht...

Social network human data is big business, but only if the right methods are used, says DataSift chief

Data from many social media platforms and networks is categorised as public, but information extracted from Facebook's users is not. Using this information has the potential risk of being seen as a breach of privacy, unless it is handled correctly.

What is the “Internet of Things?”   According to some estimates, by next year, there will be twice as many devices connected to the Internet than there are people in the world! By the end of the decade, that number may hit 50 billion and The Internet of Things (IoT) market is estimated to be valued at $7.1 trillion.

The following major companies are shaping the IoT space and are worth looking at for exposure to this important trend.

Internet of Things (IoT) refers to a network of interconnected machines and devices. This article discusses IoT, how cycle of IoT works & its impact on data science.

Data Science Central is the industry's online resource for big data practitioners. From Analytics to Data Integration to Visualization, Data Science Central provides a community experience that includes a robust editorial platform, social interaction, forum-based technical support, the latest in technology, tools and trends and industry job opportunities.

To learn more about the power of big data, take a look below at the infographic created by the New Jersey Institute of Technology.

Search the Internet for devices with Shodan and use the web interface to quickly generate beautiful reports.