Beyond development: applying the human development paradigm to identifying children with special needs and disabilities

This paper explores two aspects of development in relation to children’s learning: cognitive developmental theories and the human development paradigm. In doing so the aim of the paper is to put forward first a critique of how developmental theories have been applied to construe what and how children with special educational needs (SEN) and disabilities learn; second to put forward how the human development approach, based on the capability approach, can broaden our understanding of development; and third to suggest a way in which both types of development can be brought together to foster a valuable and meaningful education for all children. In doing so the paper argues that relying on one single way to understand and measure children development is not only short sighted, but counterproductive in as much as it can serve the purpose of stigmatizing and labelling children and thus narrowing the opportunities for learning and flourishing. In relation to freedom, a notion of development which is too structured and focused on cognitive outcomes only delimits, and consequently, limits the opportunities and potential for learning of any child, but particularly children with learning difficulties

Cyber-infrastructure to Support Science and Data Management for the Dark Energy Survey

The Dark Energy Survey (DES; operations 2009-2015) will address the nature of dark energy using four independent and complementary techniques: (1) a galaxy cluster survey over 4000 deg2 in collaboration with the South Pole Telescope Sunyaev-Zel'dovich effect mapping experiment, (2) a cosmic shear measurement over 5000 deg2, (3) a galaxy angular clustering measurement within redshift shells to redshift=1.35, and (4) distance measurements to 1900 supernovae Ia. The DES will produce 200 TB of raw data in four bands, These data will be processed into science ready images and catalogs and co-added into deeper, higher quality images and catalogs. In total, the DES dataset will exceed 1 PB, including a 100 TB catalog database that will serve as a key science analysis tool for the astronomy/cosmology community. The data rate, volume, and duration of the survey require a new type of data management (DM) system that (1) offers a high degree of automation and robustness and (2) leverages the existing high performance computing infrastructure to meet the project's DM targets. The DES DM system consists of (1) a grid-enabled, flexible and scalable middleware developed at NCSA for the broader scientific community, (2) astronomy modules that build upon community software, and (3) a DES archive to support automated processing and to serve DES catalogs and images to the collaboration and the public. In the recent DES Data Challenge 1 we deployed and tested the first version of the DES DM system, successfully reducing 700 GB of raw simulated images into 5 TB of reduced data products and cataloguing 50 million objects with calibrated astrometry and photometry.Comment: 12 pages, 3 color figures, 1 table. Published in SPIE vol. 627