Skills and Knowledge for Data-Intensive Environmental Research.

The scale and magnitude of complex and pressing environmental issues lend urgency to the need for integrative and reproducible analysis and synthesis, facilitated by data-intensive research approaches. However, the recent pace of technological change has been such that appropriate skills to accomplish data-intensive research are lacking among environmental scientists, who more than ever need greater access to training and mentorship in computational skills. Here, we provide a roadmap for raising data competencies of current and next-generation environmental researchers by describing the concepts and skills needed for effectively engaging with the heterogeneous, distributed, and rapidly growing volumes of available data. We articulate five key skills: (1) data management and processing, (2) analysis, (3) software skills for science, (4) visualization, and (5) communication methods for collaboration and dissemination. We provide an overview of the current suite of training initiatives available to environmental scientists and models for closing the skill-transfer gap

Computational Thinking Integration into Middle Grades Science Classrooms: Strategies for Meeting the Challenges

This paper reports findings from the efforts of a university-based research team as they worked with middle school educators within formal school structures to infuse computer science principles and computational thinking practices. Despite the need to integrate these skills within regular classroom practices to allow all students the opportunity to learn these essential 21st Century skills, prior practice has been to offer these learning experiences outside of mainstream curricula where only a subset of students have access. We have sought to leverage elements of the research-practice partnership framework to achieve our project objectives of integrating computer science and computational thinking within middle science classrooms. Utilizing a qualitative approach to inquiry, we present narratives from three case schools, report on themes across work sites, and share recommendations to guide other practitioners and researchers who are looking to engage in technology-related initiatives to impact the lives of middle grades students

CESEC Chair – Training Embedded System Architects for the Critical Systems Domain

Increasing complexity and interactions across scientific and tech- nological domains in the engineering of critical systems calls for new pedagogical approach. In this paper, we introduce the CESEC teaching chair. This chair aims at supporting new integrative ap- proach for the initial training of engineer and master curriculum to three engineering school in Toulouse: ISAE, INSA Toulouse and INP ENSEEIHT. It is supported by the EADS Corporate Foundation. In this paper, we highlight the rationale for this chair: need for sys- tem architect with strong foundations on technical domains appli- cable to the aerospace industry. We then introduce the ideal profile for this architect and the various pedagogical approaches imple- mented to reach this objective

Making the great transformation, November 13, 14, and 15, 2003

This repository item contains a single issue of the Pardee Conference Series, a publication series that began publishing in 2006 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future. This Conference took place during November 13, 14, and 15, 2003. Co-organized by Cutler Cleveland and Adil Najam.The conference discussants and participants analyze why transitions happen, and why they matter. Transitions are those wide-ranging changes in human organization and well being that can be convincingly attributed to a concerted set of choices that make the world that was significantly and recognizably different from the world that becomes. Transition scholars argue that that history does not just stumble along a pre-determined path, but that human ingenuity and entrepreneurship have the ability to fundamentally alter its direction. However, our ability to ‘will’ such transitions remains in doubt. These doubts cannot be removed until we have a better understanding of how transitions work