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The distributed network environment research program in the Office of Advanced Scientific Computing conducts research and development activities to support distributed high-end science in the Office of science. It focuses on end-to-end of high-performance, high-capacity and middleware network technologies necessary to provide secure access to distributed science facilities, high-performance computing recourses and large-scale scientific collaborations.

" Mendeley/PLoS API Binary Battle Build an application with our data, make science more open, win $10,001 and more! What's it all about? PLoS and Mendeley, the popular reference manager and academic social network, teamed up to create a Binary Battle contest to build the best apps that make science more open using PLoS and/or Mendeley's APIs (Application Programming Interface)."

Prior to all the nonsense with the Research Works Act, I had been having a discussion with Heather Morrison about licenses and Open Access and peripherally the principle of requiring specific licenses of authors. I realized then that I needed to lay out the background thinking that leads me to where I am.

The fifth edition of the EFC Research Forum Stakeholders' Conference drilled down beyond the buzzword that "social innovation" has become in the corridors of public-benefit foundations and their partners in recent years by examining some key areas that are driving social innovation in research forward. Topics addressed included:   * The potential for foundations to spearhead socially innovative research * The impact of social media and networks on research * Open access and the challenge of quality assurance * Public participation in science: new modes of interaction

Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.

Connecting scientists worldwide, with blogs, forums, and groups. Social networking for scientists. From the publishers of Nature.

welcome to Project Implicit ! Project Implicit is a non-profit organization and international collaborative network of researchers investigating implicit social cognition - thoughts and feelings outside of conscious awareness and control. Project Implicit is the product of a team of scientists whose research produced new ways of understanding attitudes, stereotypes and other hidden biases that influence perception, judgment, and action.

DREAM (Dialogue for Reverse Engineering Assessments and Methods) poses fundamental questions about systems biology, and invites participants to propose solutions. The main objective is to catalyze the interaction between theory and experiment, specifically in the area of cellular network inference and quantitative model building. DREAM challenges address how we can assess the quality of our descriptions of networks that underlie biological systems, and of our predictions of the outcomes of novel experiments. These are not simple questions. Researchers have used a variety of algorithms to deduce the structure of biological networks and/or to predict the outcome of perturbations to their systems. They have also evaluated the success of their methodologies using a diverse set of non-standardised metrics. What is still needed, and what DREAM aims to achieve, is a fair comparison of the strengths and weaknesses of these methods and a clear sense of the reliability of the models that researchers create.

Widespread use of a comprehensive CI framework has the potential to revolutionize every science and engineering discipline as well as education. Computing power, data volumes, software, and network capacities are all on exponential growth paths. Highly diverse, multidisciplinary collaborations and partnerships are growing dramatically, greatly enabled by new and emerging technologies, spanning multiple agencies and international domains to address complex grand challenge problems. Scientific discovery is being advanced by linking computational facilities and instruments to build highly-capable simulation models, sophisticated algorithms, software, and other tools and services. CIF21 will enable new approaches to research and education - supporting new modalities such as distributed collaborative networks, allowing researchers to more easily adapt to changes in the research and education process, and providing an integrated framework for people, instruments, and tools to address complex problems and conduct multidisciplinary research. CIF21 will consist of secure, geographically distributed, and connected CI: advanced computing facilities, scientific instruments, software environments, advanced networks, data storage capabilities, and the critically important human capital and expertise.

New requirements for future users and uses (by Serena Cangiano)

Results: Participatory health is a growing area with individuals using health social networks, crowdsourced studies, smartphone health applications, and personal health records to achieve positive outcomes for a variety of health conditions. PatientsLikeMe and 23andMe are the leading operators of researcher-organized, crowdsourced health research studies. These operators have published findings in the areas of disease research, drug response, user experience in crowdsourced studies, and genetic association. Quantified Self, Genomera, and DIYgenomics are communities of participant-organized health research studies where individuals conduct self-experimentation and group studies. Crowdsourced health research studies have a diversity of intended outcomes and levels of scientific rigor.s

Models of whole-brain connectivity are valuable for understanding neurological function, development and disease. This paper presents a machine learning based approach to classify subjects according to their approximated structural connectivity patterns and to identify features which represent the key differences between groups. Brain networks are extracted from diffusion magnetic resonance images obtained by a clinically viable acquisition protocol. Connections are tracked between 83 regions of interest automatically extracted by label propagation from multiple brain atlases followed by classifier fusion. Tracts between these regions are propagated by probabilistic tracking, and mean anisotropy measurements along these connections provide the feature vectors for combined principal component analysis and maximum uncertainty linear discriminant analysis. The approach is tested on two populations with different age distributions: 20-30 and 60-90 years. We show that subjects can be classified successfully (with 87.46% accuracy) and that the features extracted from the discriminant analysis agree with current consensus on the neurological impact of ageing.

Comprehensive protein-protein interaction maps promise to reveal many aspects of the complex regulatory network underlying cellular function. Recently, large-scale approaches have predicted many new protein interactions in yeast. To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions.

Models of Infectious Disease Agent Study (MIDAS) is a collaboration of research and informatics groups to develop computational models of the interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models will be useful to policymakers, public health workers and other researchers who want to better understand and respond to emerging infectious diseases. If a disease outbreak occurs, the MIDAS network may be called upon to develop specific models to aid public officials in their decision-making processes. More information about MIDAS is available at the links below.

I have been the position where some people know me both offline and online. It seems to me that digital professionalism is management speak for something we do as a matter of course. I have always considered myself an introvert, which may or may not come as a surprise to those of you who only know me on Twitter or through my blog.