Belize: Decoding the Census

Report on demographic, social, and economic trends in Belize based on the 2010 Census. Written under the auspices of the Bridging Disciplines Programs at The University of Texas at Austin with mentor David V. Gibson of the IC² Institute.IC2 Institut

Educating Belize: Challenges and Opportunities for the Future

Report on the current state of the Belizean educational system and recommendations for reforms. Written under the auspices of the Bridging Disciplines Programs at The University of Texas at Austin with mentor David V. Gibson of the IC² Institute.IC2 Institut

Creating the Technopolis: High-Technology Development in Austin, Texas

New institutional alliances, driven by the rapid increase in and diversity of new technologies, are altering the strategy and tactics of economic development. As a result, communities across the world are seeking to create modern technopoleis or city-states that interactively link technology commercialization with public and private sectors to spur economic growth and diversification through high-technology company development. This paper develops the conceptual framework of a technopolis wheel from studying the dynamics of high-technology development and economic growth in Austin, Texas. It describes seven segments within the technopolis: the university, large technology companies, small technology companies, federal government, state government, local government and support groups. (Author's preprint.)IC2 Institut

Knowledge and Technology Transfer: Levels and Key Factors

Most current literature on knowledge and technology transfer (Appropriability Model, Dissemination Model, and Knowledge Utilization Model), describe the process of transfer in details, but has limitation in terms of their application in contemporary high-tech industries since most studies have not provided plausible explanation on levels and factors affecting transfer of knowledge and/or technology. To overcome these limitations, the four levels of knowledge and technology transfer are suggested: Knowledge and Technology Creation (Level I), Sharing (Level II), Implementation (Level III), and Commercialization (Level IV). Comprehensive literature identifies sixteen variables affecting the process and results of knowledge and tec hnology transfer. The survey results show four key factors in knowledge and technology transfer: Communication, Distance, Equivocality, and Motivation. Communication refers to the degree to which a medium is able to efficiently and accurately conveys task-relevant information and media while distance involves both physical and cultural proximity. Equivocality refers to the degree of concreteness of knowledge and technology to be transferred while motivation involves incentives for and the recognition of the importance of knowledge and technology transfer activities. Further analysis shows that there are four distinctive clusters and they show very contrasting characteristics in terms of four key factors. The careful mapping of the four clusters on the four key factors show very informative knowledge and technology transfer patterns, the Knowledge and Technology Transfer Grid. Finally, actions to increase communication interactivity and motivation, and to reduce cultural distance and equivocality are suggested. Presented at the 4th International Conference on Technology Policy and Innovation (ICTPI) in Curitiba, Brazil.IC2 Institut

Greater Austin Software Industry Report 1993

Report benchmarking the demographics, infrastructure, business and technology characteristics of Austin area software development firms in 1993. Includes a timeline of Austin's development as a technology center and a directory of 359 software firms in the region.IC2 Institut

Dissociation of Action and Object Naming: Evidence From Cortical Stimulation Mapping

This cortical stimulation mapping study investigates the neural representation of action and object naming. Data from 13 neurosurgical subjects undergoing awake cortical mapping is presented. Our findings indicate clear evidence of differential disruption of noun and verb naming in the context of this naming task. At the individual level, evidence was found for punctuate regions of perisylvian cortex subserving noun and verb function. Across subjects, however, the location of these sites varied. This finding may help explain discrepancies between lesion and functional imaging studies of noun and verb naming. In addition, an alternative coding of these data served to highlight the grammatical class vulnerability of the target response. The use of this coding scheme implicates a role for the supramarginal gyrus in verb-naming behavior. These data are discussed with respect to a functional-anatomical pathway underlying verb naming

Healthcare resource use and costs of severe, uncontrolled eosinophilic asthma in the UK general population

Acknowledgments The authors thank Derek Skinner (Cambridge Research Support Ltd, Oakington, Cambridge, UK) for assistance with data extraction.Peer reviewedPublisher PD

Different Levels of Knowledge Transfer in Building a Globally Competitive Technology Transfer Network

Texto dispoñible en galego, español e inglésA Rede de Empresas Tecnolóxicas da Universidade (UTEN), que foi creada en marzo do ano 2007, inclúe quince universidades portuguesas e selecciona socios internacionais nun programa de cinco anos de duración que é financiado polo Goberno portugués. Participan neste programa o Instituto IC2 (Innovación, Creatividade e Capital) da Universidade de Texas en Austin, a Fundación Nacional de Ciencia de Portugal (FCT), os axentes de transferencia de tecnoloxía de Portugal (OTRI) e algúns socios internacionais. O obxectivo principal é acelerar o desenvolvemento dunha rede de comercialización e transferencia de tecnoloxía profesional que sexa sostible e competitiva globalmente. Dentro de Portugal, aumenta a súa competitividade internacional en ciencia de base universitaria e na comercialización e na transferencia de tecnoloxía. Para estudar e explicar as principais cuestións de transferencia de coñecementos deste proxecto utilízase o “modelo espiral de coñecemento” (Nonaka e Takeouchi, 1995), que se basea na distinción entre a teoría do coñecemento tácito e explícito desenvolvida por Polanyi (1966). Dentro do modelo espiral de coñecemento hai catro tipos de transformación de coñecemento: 1) socialización: de tácito a tácito; 2) externalización: de tácito a explícito; 3) combinación: de explícito a explícito; 4) internalización: de explícito a tácito. Dentro do programa da UTEN hai actividades e programas que relacionamos cos catro grupos de transformación do coñecemento do modelo espiral de coñecemento. As actividades da UTEN inclúen talleres internacionais, semanas de formación, formación no emprego, prácticas internacionais e formación “in-situ”La Red de Empresas Tecnológicas de la Universidad (UTEN), que fue creada en marzo del año 2007, incluye quince universidades portuguesas y selecciona socios internacionales en un programa de cinco años de duración que es financiado por el Gobierno portugués. Participan en este programa el Instituto IC²(Innovación, Creatividad y Capital) de la Universidad de Texas en Austin, la Fundación Nacional de Ciencia de Portugal (FCT), los agentes de transferencia de tecnología de Portugal (OTRI) y algunos socios internacionales. El objetivo principal es acelerar el desarrollo de una red de comercialización y transferencia de tecnología profesional que sea sostenible y competitiva globalmente. Dentro de Portugal, aumenta su competitividad internacional en ciencia de base universitaria y en la comercialización y transferencia de tecnología. Para estudiar y explicar las principales cuestiones de transferencia de conocimientos de este proyecto se utiliza el “modelo espiral de conocimiento” (Nonaka y Takeouchi, 1995), que se basa en la distinción entre la teoría del conocimiento tácito y explícito desarrollado por Polanyi (1966). Dentro del modelo espiral de conocimiento hay cuatro tipos de transformación de conocimiento: 1) socialización: de tácito a tácito; 2) externalización: de tácito a explícito; 3) combinación: de explícito a explícito; 4) internalización: de explícito a tácito. Dentro del programa de la UTEN hay actividades y programas que relacionamos con los cuatro grupos de transformación del conocimiento del modelo espiral de conocimiento. Las actividades de la UTEN incluyen talleres internacionales, semanas de formación, formación en el empleo, prácticas internacionales y formación “in-situ”The University Technology Enterprise Network (UTEN), which was launched in March 2007, includes 15 Portuguese Universities and select international partners in a 5-Year program funded by the Portuguese government. Participants in this program included, The Innovation, Creativity, Capital (IC²) Institute at The University of Texas at Austin, The Portuguese National Science Foundation (FCT), Portuguese Technology Transfer Officers (TTOs), and select international partners. The main objective is to accelerate the development of a sustainable, globally competitive, professional technology transfer and commercialization network within Portugal to increase Portugal’s international competitiveness in university–based science and technology transfer and commercialization. To study and explicate key knowledge transfer issues of this project, we use the Knowledge Spiral Model (Nonaka and Takeouchi, 1995) which is based on the distinction between tacit and explicit knowledge theory developed by Poloanyi (1966). Within the Knowledge Spiral Model there are four types of knowledge transformation: 1) Socialization: From tacit to tacit. 2) Externalization: From tacit to explicit. 3) Combination: From explicit to explicit. 4) Internalization: From explicit to tacit. In the UTEN Program, there are specific set of activities and programs related to each of the Knowledge Spiral’s Model four groups of knowledge transformation. These UTEN activities include International Workshops, Training Weeks, Onthe- Job-Training, International Internships, and In-Situ (In-Situation) TrainingS

Purification, crystallization and preliminary X-ray diffraction studies of the three components of the toluene 2,3-dioxygenase enzyme system. Corrigendum

A corrigendum to the article by Lee et al. (2005), Acta Cryst. F61, 669–672