Safe Routes to School Improves the Built Environment

This report focuses on case studies describing how ten states (California, District of Columbia, Georgia, Illinois, Kentucky, Louisiana, New York, Oklahoma, Texas and Virginia) are awarding their SRTS federal funds to support improved infrastructure such as sidewalks, bike lanes, pathways, improved intersections, traffic calming, and more. Safe Routes to School: Improves the Built Environment shares information on local level implementation challenges, best practices, and securing more improvements to the built environment in your community

Safe Routes to School State Network Project Final Report 2007-2009: Making Change through Partners and Policies

The Safe Routes to School National Partnership launched the State Network Project in 2007 to influence state-level Safe Routes to School implementation and to leverage additional resources and build a supportive environment through other state-level policies. The 2007 -- 2009 Report describes the approach and structure of the Partnership's State Network and Local School Projects in 10 jurisdictions (CA, DC, GA, IL, KY, LA, NY, OK, TX and VA). The networks were selected primarily based on high levels of childhood obesity, diversity and low income communities. The report highlights the progress achieved at state and local levels over three years, including major accomplishments, lessons learned, and next steps

Theoretical Model Testing with Latent Variables

Topics include improving Average Variance Extracted (AVE), estimating a latent variable with only two indicators, and speeding up the weeding (itemizing) of a measure so it is consistent ( fits the data ), is valid and reliable, yet has more than 3 indicators

UITS Research Technologies Cyberinfrastucture for IU Research and Academics

UITS Research Technologies develops, delivers, and supports advanced technology to improve the productivity of and enable new possibilities in research, scholarly endeavors, and creative activity at IU. Join Robert Ping, RT Manager of Education and Outreach, as he introduces the nine service areas available to all IU faculty, staff, and students: Science Gateways, Computation, Data Storage, Visualization, Analysis and Software delivery and support, Services for biomedical biological and health-related research, Campus birding: connecting to local and national cyberinfrastructure, Education and outreach, and Grant support and custom for-fee services. http://researchtech.iu.ed

Knowledge Exchange, Matching, and Agglomeration

Despite wide recognition of their significant role in explaining sustained grwoth and economic development, uncompensated knowledge spillovers have not yet been fully modeled with a microeconomic foundation. The main purpose of this paper is to illustrate the creation of knowledge as well as its consequences for agglomerative activity in a general-equilibrium search-theoretic framework. Agents, possessing differentiated types of knowledge, search for partners to exchange ideas and create new knowledge in order to improve production efficacy. When individuals' types of knowledge are too diverse, a match is less likely to generate significant innovations. We demonstrate that the extent of agglomeration has significant implications for the patterns of information flows in economies. Further, by simultaneously determining the patterns of knowledge exchange and the spatial agglomeration of an economy we identify additional channels for interaction between agglomerative activity and knowledge exchange. Finally, contrary to previous work on spatial agglomeration, our model suggests that agglomerative environments may be either under-specialized and under-populated or over-specialized and over-populated relative to the social optimum.

Knowledge exchange, matching, and agglomeration

Despite wide recognition of their significant role in explaining sustained growth and economic development, uncompensated knowledge spillovers have not yet been fully modeled with a microeconomic foundation. The main purpose of this paper is to illustrate the exchange of knowledge as well as its consequences on agglomerative activity in a general-equilibrium search-theoretic framework. Agents, possessing differentiated types of knowledge, search for partners to exchange ideas and create new knowledge in order to improve production efficacy. When individuals’ types of knowledge are too diverse, a match is less likely to generate significant innovations. We demonstrate the extent of agglomeration has significant implications for the patterns of information flows in economies. Further, by simultaneously determining the patterns of knowledge exchange and the spatial agglomeration of an economy we identify additional channels for interaction between agglomerative activity and knowledge exchange. Finally, contrary to previous work in spatial agglomeration, our model suggests that agglomerative environments may be either under-specialized and under-populated or over-specialized and over-populated relative to the social optimum.Econometric models

A subdivision-based implementation of non-uniform local refinement with THB-splines

Paper accepted for 15th IMA International Conference on Mathematics on Surfaces, 2017. Abstract: Local refinement of spline basis functions is an important process for spline approximation and local feature modelling in computer aided design (CAD). This paper develops an efficient local refinement method for non-uniform and general degree THB-splines(Truncated hierarchical B-splines). A non-uniform subdivision algorithm is improved to efficiently subdivide a single non-uniform B-spline basis function. The subdivision scheme is then applied to locally hierarchically refine non-uniform B-spline basis functions. The refined basis functions are non-uniform and satisfy the properties of linear independence, partition of unity and are locally supported. The refined basis functions are suitable for spline approximation and numerical analysis. The implementation makes it possible for hierarchical approximation to use the same non-uniform B-spline basis functions as existing modelling tools have used. The improved subdivision algorithm is faster than classic knot insertion. The non-uniform THB-spline approximation is shown to be more accurate than uniform low degree hierarchical local refinement when applied to two classical approximation problems