Orientador: Renato Peixoto Dagnino / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Geociencias / Made available in DSpace on 2018-08-10T23:50:14Z (GMT). No. of bitstreams: 1 Serafim_MilenaPavan_M.pdf: 1266147 bytes, checksum: c041fc24b4301baf7db9b5a6e1f4ff97 (MD5) Previous issue date: 2008 / Resumo: Esta dissertação analisa duas políticas públicas ¿ a política científica e tecnológica (PCT) e a política de inclusão social (PIS) ¿ e tem como ponto de partida a constatação de que existe uma inadequada interação entre elas. Como objetivo, este trabalho busca produzir elementos cognitivos capazes de possibilitar sua interlocução e convergência. Como hipótese explicativa da inadequada interação entre as duas políticas e de sua incapacidade para viabilizar a inclusão social, apontamos para o modelo cognitivo usado para a sua elaboração. O entendimento que os atores envolvidos com as políticas - formuladores, gestores, estudiosos da PIS e da PCT, etc. ¿ têm da relação entre ciência, tecnologia e sociedade e, em particular, a predominância das concepções da neutralidade e do determinismo científico e tecnológico, que ocupa um papel central nesse modelo cognitivo, é a importante condicionante dessa situação. Para estudar essa inadequada interação, usamos o instrumental de Análise de Política, dada a sua capacidade de explicitar os aspectos políticos envolvidos no processo de elaboração das políticas públicas e como estes influenciam o seu conteúdo. É privilegiada a análise dos processos de identificação de prioridades, de conformação da agenda e de formulação da política, por entendermos que eles são importantes para identificar o modelo cognitivo das políticas e, no âmbito de nosso trabalho, caracterizar a inadequada interação entre as duas políticas. O estudo da trajetória das duas políticas revelou mudanças mais ou menos concomitantes, associadas às alterações do contexto que as envolve. No caso do período mais recente, embora o governo atual tenha proposto um estilo de desenvolvimento distinto do até então adotado, o modelo cognitivo das duas políticas não se alterou de forma significativa, uma vez que foram mantidas aquelas concepções acerca da C&T. Como proposta normativa, este trabalho concebeu o que denominamos de "Enfoque Científico-tecnológico para Inclusão Social" orientado a viabilizar a interação entre as duas políticas através da constituição de um modelo cognitivo baseado na crítica àquelas duas concepções / Abstract: This Master's dissertation is focused on the analysis of two important public policies: science and technology policy and social inclusion policy. The study is based on the perception that the interaction between the two policies is rather inadequate. It is thus directed to discussing elements that may be used toward stimulating the interaction and convergence of these two policies. As an explanatory hypothesis regarding this inadequate interaction and the constraint it represents for social inclusion, we point out to the cognitive model used in the elaboration of these two policies. The perception shared by those involved with this process ¿ policy makers, administrators, STP and SIP researchers, etc. ¿ regarding science and technology and their relation to society, and particularly the view on scientific and technological neutrality and determinism, which plays a pivotal role in this cognitive model, is the main cause of this situation. In order to study in detail this inadequate interaction between the two policies, the Policy Analysis framework is utilized, given its capability of unveiling political aspects that involve policy making and policy characteristics. The analytical tools for priority identification, agenda conformation and policy making are emphasized, due to their importance in allowing a more complete understanding of public policies, including the cognitive model that shapes them and the aspects of their interaction. The analysis of the trajectory of these two policies has revealed some significant changes, somewhat connected, that are associated to some broader contextual changes. Particularly in the more recent period, despite a new proposal for development from the current office, it is noted that the cognitive model of the two policies has not been significantly altered, due to the persistence of the views on scientific and technological neutrality and determinism. As a normative proposal, the ¿Cognitive Approach to Social Inclusion¿ is presented. It is directed towards allowing the interaction between the two policies through the construction of a cognitive model based on the criticism concerned the views on scientific and technological neutrality and determinism / Mestrado / Mestre em Política Científica e Tecnológica

Government call centers (311) were first created to reduce the volume of non-emergency calls that were being placed to emergency 911 call centers. The number of 311 call centers increased from 57 in 2008 to about 300 in 2013. Considering that there are over 2,700 municipal government units across the United States, the adoption rate of the 311 centers is arguably low in the country. This dissertation is an examination of the adoption of 311 call centers by municipal governments. My focus is specifically on why municipal governments adopt 311 and identifying which barriers result in the non-adoption of 311 call centers. This dissertation is possibly the first study to examine the adoption of 311 call centers in the United States. The dissertation study has identified several significant factors in the adoption and non-adoption of 311 government call centers. The following factors were significant in the adoption of 311 government call centers: managerial support, financial constraints, organizational responsiveness, strategic plan placement, and technology champion. The following factors were significant barriers that resulted in the non-adoption of a 311 government call center; no demand from citizens, start up costs, annual operating costs, unavailability of funding, and no obvious need for one.If local government entities that do not have a 311 government call center decide to adopt one, this study will help them identify the conditions that need to be in place for successful adoption to occur. Local government officials would first need to address the barriers in setting up the 311 call centers.

I examine whether Uber and Lyft are currently complements or substitutes of public transit, and how partnerships between cities and ride sharing companies can increase their complementary relationship and solve parking and mobility issues. The results suggest that transportation network companies (TNCs) like Uber and Lyft do not have a statistically significant effect on public transit ridership overall, but are complements of public transit for certain populations. Policies that give discounts for TNC rides taken to and from transit stops help solve the first mile / last mile problem, which consequently help increase transit ridership.

Quel cadre économique et réglementaire à long terme (2030-50) pour soutenir la transition énergétique des carburants fossiles vers l’hydrogène dans le secteur européen des transports ? Cette recherche combine les approches théoriques et empiriques pour répondre aux trois questions suivantes :1. Comment concevoir des politiques de soutien adaptées pour pallier les imperfections de marché lors du déploiement de technologies de mobilité hydrogène ?2. Comment modéliser les coûts d’abattement en tenant compte des effets d’apprentissage (LBD) ?3. Comment définir la trajectoire optimale de déploiement quand le LBD et la convexité des coûts d’investissement sont présents ?L’article ‘Transition vers un Système de Transport de Passagers à Hydrogène : Analyse Politique Comparée’ passe au crible des politique de soutien destinées à résoudre les imperfections de marché dans le déploiement de la mobilité hydrogène. L’article effectue une comparaison internationale entre les instruments en faveur du déploiement des véhicules. Les indicateurs ex post d’efficacité des politiques sont développés et calculés pour classifier les pays selon leur volontarisme dans la promotion des véhicules à piles à combustible (FCEV). Aujourd’hui le Japon et le Danemark apparaissent comme les meilleurs fournisseurs d’un environnement favorable au déploiement de la mobilité hydrogène. Les autorités locales introduisent de solides instruments prix (tels que des subventions et des exemptions fiscales) pour rendre le FCEV plus attractif par rapport à son analogue à essence et coordonnent le déploiement de l’infrastructure hydrogène sur le territoire.L’article ‘Modélisation des Coûts d’Abattement en Présence d’Effets d’Apprentissage : le Cas du Véhicule à Hydrogène’ présente un modèle de transition du secteur des transports d’un état polluant à un état propre. Un modèle d’équilibre partiel est développé pour un secteur automobile de taille constante. L’optimum social est atteint en minimisant le coût de la transition du parc automobile au cours du temps. Ce coût comprend les coûts privés de production des véhicules décarbonés (sujets aux effets d’apprentissage) ainsi que le coût social des émissions de CO2 qui suit une tendance haussière exogène. L’article caractérise la trajectoire optimale qui est un remplacement progressif des véhicules polluants par les décarbonés. Au cours de la transition, l’égalisation des coûts marginaux tient compte de l’impact des actions présentes sur les coûts futurs via l’effet d’apprentissage. L’article décrit aussi une trajectoire sous-optimale où la trajectoire de déploiement serait une donnée exogène : quelle serait alors la date optimale de début de la transition ? L’article présente une évaluation quantitative de la substitution des FCEV aux véhicules à combustion interne (ICE). L’analyse conclut que le FCEV deviendra une option économiquement viable pour décarboner une partie du parc automobile allemand à l’horizon 2050 dès que le prix du carbone atteindra 50-60€/t.L’article ‘Le rôle des Effets d’Apprentissage dans l’Adoption d’une Technologie Verte : le Cas LBD Linéaire’ étudie les caractéristiques d’une trajectoire optimale de déploiement des véhicules décarbonés dans le cas où les effets d’apprentissage et la convexité sont présents dans la fonction de coût. Le modèle d’équilibre partiel de Creti et. al (2015) est utilisé comme point de départ. Dans le cas LBD linéaire la trajectoire de déploiement optimale est obtenue analytiquement. Un apprentissage fort induit une transition antérieure vers les véhicules verts dans le cas d’une convexité faible et une transition ultérieure dans le cas d’une convexité forte. Ce résultat permet de revisiter le projet H2 Mobility en Allemagne. Un effet d’apprentissage plus fort et une accélération du déploiement aboutissent à une transition moins coûteuse et une période de cash flow négatif plus courte. / What economic and policy framework would foster a transition in the European transport sector from fossil fuels to hydrogen in the long term (2030-50)? This research combines empirical and theoretical approaches and aims to answers the following questions:1. How to design appropriate policy instruments to solve inefficiencies in hydrogen mobility deployment?2. How to define abatement cost and an optimal launching date in the presence of learning-by-doing (LBD)?3. How to define an optimal deployment trajectory in presence of LBD and convexity in investment costs?The paper ‘Transition Towards a Hydrogen-Based Passenger Car Transport: Comparative Policy Analysis‘ draws a cross-country comparison between policy instruments that support the deployment of Fuel Cell Electric Vehicle (FCEV). The existing policy framework in favour of FCEV and hydrogen infrastructure deployment is analysed. A set of complementary ex-post policy efficiency indicators is developed and calculated to rank the most active countries, supporters of FCEV. Denmark and Japan emerge as the best providers of favourable conditions for the hydrogen mobility deployment: local authorities put in place price-based incentives (such as subsidies and tax exemptions) making FCEV more financially attractive than its gasoline substitute, and coordinate ramping-up of their hydrogen infrastructure nationally.The paper ’Defining the Abatement Cost in Presence of Learning-by-doing: Application to the Fuel Cell Electric Vehicle’ models the transition of the transport sector from a pollutant state to a clean one. A partial equilibrium model is developed for a car sector of a constant size. In this model the objective of the social planner is to minimize the cost of phasing out a stock of polluting cars from the market over time. The cost includes the private cost of green cars production, which are subject to LBD, and the social cost of carbon, which has an exogenous upward trend. During the transition, the equalization of marginal costs takes into account the fact that the current action has an impact on future costs through LBD. This paper also describes a suboptimal plan: if the deployment trajectory is exogenously given, what is the optimal starting date for the transition? The paper provides a quantitative assessment of the FCEV case for the substitution of the mature Internal Combustion Engine (ICE) vehicles. The analysis concludes that the CO2 price should reach 53€/t for the program to start and for FCEV to be a socially beneficial alternative for decarbonizing part of the projected German car park in the 2050 time frame.The impact of LBD on the timing and costs of emission abatement is, however, ambiguous. On the one hand, LBD supposes delaying abatement activities because of cost reduction of future abatement due to LBD. On the other hand, LBD supposes starting the transition earlier because of cost reduction due to added value to cumulative experience. The paper ‘The Role of Learning-by-Doing in the Adoption of a Green Technology: the Case of Linear LBD’ studies the optimal characteristics of a transition towards green vehicles in the transport sector when both LBD and convexity are present in the cost function. The partial equilibrium model of (Creti et al., 2015) is used as a starting point. For the case of linear LBD the deployment trajectory can be analytically obtained. This allows to conclude that a high learning induces an earlier switch towards green cars in the case of low convexity, and a later switch in the case of high convexity. This insight is used to revisit the hydrogen mobility project in Germany. A high learning lowers the corresponding deployment cost and reduces deepness and duration of the, investment ‘death valley’ (period of negative project’s cash flow). An acceleration of exogenously defined scenario for FCEV deployment, based on the industry forecast, would be beneficial to reduce the associated transition cost.

This thesis evaluates economic development, planning, public policy, and business strategies to create successful business incubators in Massachusetts’ post-industrial cities. These post-industrial cities in Massachusetts are dubbed “Gateway Cities” because they were once the economic engines of the region as well as areas of entry for many foreign-born residences to live and work. These cities have been recently plagued by high unemployment, poverty, and low business investment as many businesses, especially manufacturing, have located elsewhere. Legislation and policies involving redistribution of wealth to these Gateway Cities has recently been enacted to strengthen these communities. Although there currently isn’t a cohesive policy for business incubators in Gateway Cities, this thesis strategizes that such an approach could be beneficial for these cities, their regions, and the state as a whole.

<p>Unsafe food is responsible for causing more than 600 million cases of foodborne illnesses and 420,000 deaths each year. These foodborne illnesses have direct impact on growth and development in children, food and nutrition security, national economies, and sustainable development. Food manufactures, research institutions, governments, and consumers, together, play a pivotal role in establishing and implementing effective food safety systems. <em>Salmonella</em> spp. and <em>Listeria monocytogenes</em> are recognized as major threats to global food safety and security among other 31 known and unknown pathogens associated with foodborne illnesses and deaths. Since these pathogens can be transmitted through contaminated food and water, contaminated environmental surfaces, and subsequently from environment to food via cross-contamination, there is an urgent need for data-driven approaches to identify key points of contamination along the food systems to suggest interventions. While it is important to enhance food safety research in developed economies, developing capacity to enable conditions for food safety research translation and practice in developing economies is crucial for global food safety. In this dissertation, we presented three different research projects as summarized below-</p> <p>In Chapter 2 “Evaluating the efficacy of celery powder in ready-to-eat deli style turkey breast against <em>L. monocytogenes</em> under ideal and temperature abuse conditions”. In this study, we artificially inoculated “clean label” deli style turkey breast formulated with celery powder to evaluate the efficacy of this natural antimicrobial in inhibiting the growth of this pathogen. We stored the inoculated samples at ideal (4 °C) and abuse temperature conditions (7 °C, 10 °C, and 15 °C) for 21 d mimicking the possible temperature abuse along the cold chain, transportation, and at consumer refrigerator. Our findings indicated that although deli meat samples stored at 4 °C and 7 °C did not achieve significant growth of <em>L. monocytogenes;</em> increasing temperatures to 10 °C and 15 °C led to significant increase in the growth rate of this pathogen. This study evaluates the use and effectiveness of celery powder as an antimicrobial used by deli meat processors against <em>L. monocytogenes</em> in deli products. These data underscore the importance of maintaining refrigeration temperatures to complement the efficacy of antimicrobials. </p> <p>Chapter 3 “Investigating sanitary solutions to <em>L. monocytogenes, Salmonella enterica</em> ser. Typhimurium, and <em>Pseudomonas aeruginosa</em> dry surface biofilms”. In this study, we developed <em>in vitro</em> mono- and mix-culture dry surface biofilm (DSB) models of <em>L. monocytogenes, Salmonella enterica</em> ser. Typhimurium, and <em>Pseudomonas aeruginosa</em> leveraging the EPA MLB SOP MB-19 standard protocol using the CDC Biofilm Reactor and evaluated sanitation control strategies currently adopted by low-moisture food (LMF) food processors to determine their ability to inactive DSB, a decidedly difficult reservoir to eliminate. This study targets multiple biological hazards in a research area with very limited publicly available data and is the first of its kind to refine mono- and multi-species <em>in vitro</em> DSB models that mimic LMF facility conditions and combinations of relevant microorganisms for use cases (e.g., EPA adoption). The findings from this study indicated that these foodborne pathogens could form DSBs and serve as a source of pathogen reservoir and cross-contamination. Results from the efficacy testing of sanitizer and microfiber swabbing suggested that current sanitation practices may not be sufficient to remove or inactivate DSBs. This study will define future needs and new strategies to improve confidence in sanitation efficacy with private sector practitioners.</p> <p>Chapter 4 “Enhancing research for development opportunities for Minority Serving Institutions: a case study in food safety”. Most developing economies have limited viable food safety systems due to underdeveloped research capabilities, competing resource demands, and insufficient enabling conditions, which undermines food security. United States Minority Serving Institution (MSIs) researchers and outreach specialists are familiar with and arguably best positioned to address global food safety and security challenges and needs, but MSIs implement limited research for development programs (e.g., U.S. university-led Feed the Future (FTF) Innovation Labs (ILs) funded by the United States Agency for International Development (USAID)) aimed to solve these challenges. Recognizing this opportunity, the Feed the Future Innovation Lab for Food Safety (FSIL) led by Purdue University in partnership with Cornell University, created and implemented an MSI-led research partnerships for global food safety research programs. In this chapter, we put together the process of a three-stage Request for Applications (RFA) process, which included non-competitive and competitive stages to encourage partnership and to refine ideas.  At the end of this process, seven individuals were invited to submit full proposals; two were funded. Intentional research opportunities and partnerships are essential to strengthen MSI competitiveness for research for development programs that develop and scale technologies to address urgent global agriculture, food security, and safety challenges.</p>

<p dir="ltr">Artificial Intelligence (AI) is anticipated to exert a considerable impact on the global Gross Domestic Product (GDP), with projections estimating a contribution of 13 trillion dollars by the year 2030 (IEEE Board of Directors, 2019). In light of this influence on economic, societal, and intellectual realms, it is imperative for Policy Makers to acquaint themselves with the ongoing developments and consequential impacts of AI. The exigency of their preparedness lies in the potential for AI to evolve in unpredicted directions should proactive measures not be promptly instituted.</p><p dir="ltr">This paper endeavors to address a pivotal research question: " Do United States Policy Makers have a sufficient knowledgebase to understand Responsible AI in relation to Machine Learning to pass Artificial Intelligence legislation; and if they do not, how should a pedological instructional framework be created to give them the necessary knowledge?" The pursuit of answers to this question unfolded through the systematic review, gap analysis, and formulation of an instructional framework specifically tailored to elucidate the intricacies of Machine Learning. The findings of this study underscore the imperative for policymakers to undergo educational initiatives in the realm of artificial intelligence. Such educational interventions are deemed essential to empower policymakers with the requisite understanding for formulating effective regulatory frameworks that ensure the development of Responsible AI. The ethical dimensions inherent in this technological landscape warrant consideration, and policymakers must be equipped with the necessary cognitive tools to navigate these ethical quandaries adeptly.</p><p dir="ltr">In response to this exigency, the present study has undertaken the design and development of an instructional framework. This framework is conceived as a strategic intervention to address the evident cognitive gap existing among policymakers concerning the nuances of AI. By imparting an understanding of AI-related concepts, the framework aspires to cultivate a more informed and discerning governance ethos among policymakers, thus contributing to the responsible and ethical deployment of AI technologies.</p>

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Preventing cyberterrorism is becoming a necessity for individuals, organizations, and governments. However, current policies focus on technical and managerial aspects without asking for experts and non-experts values and preferences for preventing cyberterrorism. This study employs value focused thinking and public value forum to bare strategic measures and alternatives for complex policy decisions for preventing cyberterrorism. The strategic measures and alternatives are per socio-technical process.

The intent of the thesis is to ascertain whether mitigation of political risk to the IT industry in Panama can be of value to the country by improving the economy and standard of living.