Portraying innovation in the public service of Brazil: Frameworks, systematization and characterization

ABSTRACT Innovation is essential for improving organizational performance in both the private and public sectors. This article describes and analyzes the 323 innovation experiences of the Brazilian federal public service that received prizes during the 16 annual competitions (from 1995 to 2012) of the Award for Innovation in Federal Public Management held by the Brazilian National School of Public Administration (ENAP). It is a qualitative and quantitative study in which were employed as categories for analysis the four types of innovation defined in the Copenhagen Manual: product, process, organizational and communication. The survey results allow us to affirm that there is innovation in the public sector, in spite of the skepticism of some researchers and the incipient state of theoretical research on the subject. It was possible to observe that organizational innovation was the one with the highest number of award- -winning experience, followed respectively by process, communication and product innovation, with citizen services and improvement of work processes being the main highlights. The results showed that, although the high incidence of innovation occurs at the national level, a significant number of innovations also occur at the local level, probably because many organizations of the federal government have their actions spread only at this level of government. Concerning the innovative area, health and education predominate, with almost 33% of initiatives, which can be explained by capillarity of these areas and the fact that both maintain a strong interaction with the user. The contributions of this work include the use of theoretical model of innovation analysis in the public sector in Brazil still upcoming, and the systematization of knowledge in empirical basis for this innovation. In this sense, it also contributes to the development of the theory with the presentation of evidence that the characteristics, determinants and consequences of innovation in the public sector differ not only from innovation in the industry, but also from innovation in services in the private sector.

Technological convergence: a strategic perspective

The information and communication technologies (ICT) sectors are in a process of technological convergence. Determinant factors in this process are the liberalisation of the telecommunications markets and technological change. Many firms are engaged in a process of mergers and alliances to position themselves in this new framework. Technological and demand uncertainties are very important. Our objective in this paper is to study the economic determinants of the strategies of the firms. With this aim, we review some key technological and demand aspects. We shed some light on the strategic motivations of the firms by establishing a parallel with the evolution of the retailing sector

Genetics for clinicians: from candidate genes to whole genome scans (technological advances).

Human genetics has progressed at an unprecedented pace during the past 10 years. DNA microarrays currently allow screening of the entire human genome with high level of coverage and we are now entering the era of high-throughput sequencing. These remarkable technical advances are influencing the way medical research is conducted and have boosted our understanding of the structure of the human genome as well as of disease biology. In this context, it is crucial for clinicians to understand the main concepts and limitations of modern genetics. This review will describe key concepts in genetics, including the different types of genetic markers in the human genome, review current methods to detect DNA variation, describe major online public databases in genetics, explain key concepts in statistical genetics and finally present commonly used study designs in clinical and epidemiological research. This review will therefore concentrate on human genetic variation analysis.

Innovation and firm growth: Does firm age play a role?

This paper explores the relationship between firm growth, innovation and firm age. We hypothesize that young firms undertake riskier innovation activities and are more oriented towards employment growth than towards harvesting returns in the form of sales growth. Using an extensive sample of Community Innovation Survey for the period 2004-2010, we apply quantile regressions and a Heckman sample selection technique to study the impact of R&D activities on firm growth according to firm age. Our results show that R&D intensity is positively associated with firm growth. However, for young firms R&D shows an increasing influence across the quantiles, while for old firms R&D shows a stable or perhaps decreasing effect over the quantiles. Firm age shows a significant negative impact among young firms, while for the sample of old firms the impact of firm age becomes non-significant. Our Heckman estimations show the evolution of the impact of the R&D on firm growth confirming a significant impact on sales and productivity growth, while the impact is negligible for employment growth. Keywords: firm age, firm growth, innovation, quantile regression. JEL CODES: L25, L20

Molecular changes underlying mammalian phenotypic innovation

Mammals are characterized by specific phenotypic traits that include lactation, hair, and relatively large brains with unique structures. Individual mammalian lineages have, in turn, evolved characteristic traits that distinguish them from others. These include obvious anatom¬ical differences but also differences related to reproduction, life span, cognitive abilities, be¬havior. and disease susceptibility. However, the molecular basis of the diverse mammalian phenotypes and the selective pressures that shaped their evolution remain largely unknown. In the first part of my thesis, I analyzed the genetic factors associated with the origin of a unique mammalian phenotype lactation and I studied the selective pressures that forged the transition from oviparity to viviparity. Using a comparative genomics approach and evolutionary simulations, I showed that the emergence of lactation, as well as the appear¬ance of the casein gene family, significantly reduced selective pressure on the major egg-yolk proteins (the vitellogenin family). This led to a progressive loss of vitellogenins, which - in oviparous species - act as storage proteins for lipids, amino acids, phosphorous and calcium in the isolated egg. The passage to internal fertilization and placentation in therian mam¬mals rendered vitellogenins completely dispensable, which ended in the loss of the whole gene family in this lineage. As illustrated by the vitellogenin study, changes in gene content are one possible underlying factor for the evolution of mammalian-specific phenotypes. However, more subtle genomic changes, such as mutations in protein-coding sequences, can also greatly affect the phenotypes. In particular, it was proposed that changes at the level of gene reg¬ulation could underlie many (or even most) phenotypic differences between species. In the second part of my thesis, I participated in a major comparative study of mammalian tissue transcriptomes, with the goal of understanding how evolutionary forces affected expression patterns in the past 200 million years of mammalian evolution. I showed that, while com¬parisons of gene expressions are in agreement with the known species phylogeny, the rate of expression evolution varies greatly among lineages. Species with low effective population size, such as monotremes and hominoids, showed significantly accelerated rates of gene expression evolution. The most likely explanation for the high rate of gene expression evolution in these lineages is the accumulation of mildly deleterious mutations in regulatory regions, due to the low efficiency of purifying selection. Thus, our observations are in agreement with the nearly neutral theory of molecular evolution. I also describe substantial differences in evolutionary rates between tissues, with brain being the most constrained (especially in primates) and testis significantly accelerated. The rate of gene expression evolution also varies significantly between chromosomes. In particular, I observed an acceleration of gene expression changes on the X chromosome, probably as a result of adaptive processes associated with the origin of therian sex chromosomes. Lastly, I identified several individual genes as well as co-regulated expression modules that have undergone lineage specific expression changes and likely under¬lie various phenotypic innovations in mammals. The methods developed during my thesis, as well as the comprehensive gene content analyses and transcriptomics datasets made available by our group, will likely prove to be useful for further exploratory analyses of the diverse mammalian phenotypes.

Labeling Regulations and Segregation of First- and, Second-Generation Genetically Modified Products: Innovation Incentives and Welfare Effects, April 2005

We review some of the most significant issues and results on the economic effects of genetically modified (GM) product innovation, with emphasis on the question of GM labeling and the need for costly segregation and identity preservation activities. The analysis is organized around an explicit model that can accommodate the features of both first-generation and second-generation GM products. The model accounts for the proprietary nature of GM innovations and for the critical role of consumer preferences vis-à-vis GM products, as well as for the impacts of segregation and identity preservation and the effects of a mandatory GM labeling regulation. We also investigate briefly a novel question in this setting, the choice of “research direction”when both cost-reducing and quality-enhancing GM innovations are feasible.

Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography

This paper presents a new registration algorithm, called Temporal Di eomorphic Free Form Deformation (TDFFD), and its application to motion and strain quanti cation from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity eld as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement eld is then recovered through forward Eulerian integration of the non-stationary velocity eld. The strain tensor iscomputed locally using the spatial derivatives of the reconstructed displacement eld. The energy functional considered in this paper weighs two terms: the image similarity and a regularization term. The image similarity metric is the sum of squared di erences between the intensities of each frame and a reference one. Any frame in the sequence can be chosen as reference. The regularization term is based on theincompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, bothon displacement and velocity elds, on a set of synthetic 3D US images with di erent noise levels. TDFFDshowed increased robustness to noise compared to these two state-of-the-art algorithms. TDFFD also proved to be more resistant to a reduced temporal resolution when decimating this synthetic sequence. Finally, this synthetic dataset was used to determine optimal settings of the TDFFD algorithm. Subsequently, TDFFDwas applied to a database of cardiac 3D US images of the left ventricle acquired from 9 healthy volunteers and 13 patients treated by Cardiac Resynchronization Therapy (CRT). On healthy cases, uniform strain patterns were observed over all myocardial segments, as physiologically expected. On all CRT patients, theimprovement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quanti ed by the reduction of end-systolic left ventricular volume at follow-up (6 and 12 months), showing the potential of the proposed algorithm for the assessment of CRT.

Characterization of myocardial deformation in patients with different etiologies of left ventricular hypertrophy by using strain distribution from Magnetic Resonance Imaging

Introducción y objetivos. Se ha señalado que, en la miocardiopatía hipertrófica (MCH), la desorganización de las fibras regionales da lugar a segmentos en los que la deformación es nula o está gravemente reducida, y que estos segmentos tienen una distribución no uniforme en el ventrículo izquierdo (VI). Esto contrasta con lo observado en otros tipos de hipertrofia como en el corazón de atleta o la hipertrofia ventricular izquierda hipertensiva (HVI-HT), en los que puede haber una deformación cardiaca anormal, pero nunca tan reducida como para que se observe ausencia de deformación. Así pues, proponemos el empleo de la distribución de los valores de strain para estudiar la deformación en la MCH. Métodos. Con el empleo de resonancia magnética marcada (tagged), reconstruimos la deformación sistólica del VI de 12 sujetos de control, 10 atletas, 12 pacientes con MCH y 10 pacientes con HVI-HT. La deformación se cuantificó con un algoritmo de registro no rígido y determinando los valores de strain sistólico máximo radial y circunferencial en 16 segmentos del VI. Resultados. Los pacientes con MCH presentaron unos valores medios de strain significativamente inferiores a los de los demás grupos. Sin embargo, aunque la deformación observada en los individuos sanos y en los pacientes con HVI-HT se concentraba alrededor del valor medio, en la MCH coexistían segmentos con contracción normal y segmentos con una deformación nula o significativamente reducida, con lo que se producía una mayor heterogeneidad de los valores de strain. Se observaron también algunos segmentos sin deformación incluso en ausencia de fibrosis o hipertrofia. Conclusiones. La distribución de strain caracteriza los patrones específicos de deformación miocárdica en pacientes con diferentes etiologías de la HVI. Los pacientes con MCH presentaron un valor medio de strain significativamente inferior, así como una mayor heterogeneidad de strain (en comparación con los controles, los atletas y los pacientes con HVI-HT), y tenían regiones sin deformación.

The role of the Teaching Quality and Innovation Support Unit in the ICT Engineering Studies at Universitat Pompeu Fabra

One of the strategies of Universitat Pompeu Fabra to support Quality Learning has been the creation of Units for the Support of Teaching Quality and Innovation within each faculty. In the seminar we will present the role and activities of the Polytechnic School Unit in charge or coordinating the efforts towards quality learning in the Information and Communication Technologies (ICT) Engineering Studies. We will also discuss how these activities are informed to relevant academic stakeholders.

Cyclical Skill-Biased Technological Change

Over the past two decades, technological progress has been biased towards making skilled labor more productive. The evidence for this finding is based on the persistent parallel increase in the skill premium and the supply of skilled workers. What are the implications of skill-biased technological change for the business cycle? To answer this question, we use the CPS outgoing rotation groups to construct quarterly series for the price and quantity of skill. The unconditional correlation of the skill premium with the cycle is zero. However, using a structural VAR with long run restrictions, we find that technology shocks substantially increase the premium. Investment-specific technology shocks are not skill-biased and our findings suggest that capital and skill are (mildly) substitutable in aggregate production.

Neglected risks, financial innovation, and financial fragility

We present a standard model of financial innovation, in which intermediaries engineer securities with cash flows that investors seek, but modify two assumptions. First, investors (and possibly intermediaries) neglect certain unlikely risks. Second, investors demand securities with safe cash flows. Financial intermediaries cater to these preferences and beliefs by engineering securities perceived to be safe but exposed to neglected risks. Because the risks are neglected, security issuance is excessive. As investors eventually recognize these risks, they fly back to safety of traditional securities and markets become fragile, even without leverage, precisely because the volume of new claims is excessive.