Revealing Cultural Ecosystem Services through Instagram Images : The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance

With the prevalence of smartphones, new ways of engaging citizens and stakeholders in urban planning and govern-ance are emerging. The technologies in smartphones allow citizens to act as sensors of their environment, producing and sharing rich spatial data useful for new types of collaborative governance set-ups. Data derived from Volunteered Geographic Information (VGI) can support accessible, transparent, democratic, inclusive, and locally-based governance situations of interest to planners, citizens, politicians, and scientists. However, there are still uncertainties about how to actually conduct this in practice. This study explores how social media VGI can be used to document spatial tendencies regarding citizens’ uses and perceptions of urban nature with relevance for urban green space governance. Via the hashtag #sharingcph, created by the City of Copenhagen in 2014, VGI data consisting of geo-referenced images were collected from Instagram, categorised according to their content and analysed according to their spatial distribution patterns. The results show specific spatial distributions of the images and main hotspots. Many possibilities and much potential of using VGI for generating, sharing, visualising and communicating knowledge about citizens’ spatial uses and preferences exist, but as a tool to support scientific and democratic interaction, VGI data is challenged by practical, technical and ethical concerns. More research is needed in order to better understand the usefulness and application of this rich data source to governance.

ENGINEERING DIGITAL SHARING PLATFORM TO CREATE SOCIAL CONTAGION: EVIDENCE FROM LARGE SCALE RANDOMIZED FIELD EXPERIMENTS

Peer-to-peer information sharing has fundamentally changed customer decision-making process. Recent developments in information technologies have enabled digital sharing platforms to influence various granular aspects of the information sharing process. Despite the growing importance of digital information sharing, little research has examined the optimal design choices for a platform seeking to maximize returns from information sharing. My dissertation seeks to fill this gap. Specifically, I study novel interventions that can be implemented by the platform at different stages of the information sharing. In collaboration with a leading for-profit platform and a non-profit platform, I conduct three large-scale field experiments to causally identify the impact of these interventions on customers’ sharing behaviors as well as the sharing outcomes. The first essay examines whether and how a firm can enhance social contagion by simply varying the message shared by customers with their friends. Using a large randomized field experiment, I find that i) adding only information about the sender’s purchase status increases the likelihood of recipients’ purchase; ii) adding only information about referral reward increases recipients’ follow-up referrals; and iii) adding information about both the sender’s purchase as well as the referral rewards increases neither the likelihood of purchase nor follow-up referrals. I then discuss the underlying mechanisms. The second essay studies whether and how a firm can design unconditional incentive to engage customers who already reveal willingness to share. I conduct a field experiment to examine the impact of incentive design on sender’s purchase as well as further referral behavior. I find evidence that incentive structure has a significant, but interestingly opposing, impact on both outcomes. The results also provide insights about senders’ motives in sharing. The third essay examines whether and how a non-profit platform can use mobile messaging to leverage recipients’ social ties to encourage blood donation. I design a large field experiment to causally identify the impact of different types of information and incentives on donor’s self-donation and group donation behavior. My results show that non-profits can stimulate group effect and increase blood donation, but only with group reward. Such group reward works by motivating a different donor population. In summary, the findings from the three studies will offer valuable insights for platforms and social enterprises on how to engineer digital platforms to create social contagion. The rich data from randomized experiments and complementary sources (archive and survey) also allows me to test the underlying mechanism at work. In this way, my dissertation provides both managerial implication and theoretical contribution to the phenomenon of peer-to-peer information sharing.

Compétences orales et nouvelles technologies dans un cours de français langue étrangère

The oral communication skills should gain ground in language learning through new technologies. In this study examines the role that blogs, podcasts, social networks and telecollaborative projets have played in the development of oral production skills, as well as in learning and correction in pronunciation. During the period 2005 to 2015 several experiments with social media were conducted for this purpose as part of a French language course at the university of León in Spain. We will approach the results from our research in relation to the tools (blogs, podcasts, networks) and to the correction techniques for analyzing and evaluating the usefulness of new technologies in this training device.

Los nuevos movimientos sociales, el uso de las TIC y su impacto social

El siguiente trabajo es el resultado una revisión sobre los Nuevos movimientos sociales y el uso de las nuevas tecnologías, vistos a la luz de la filosofía política. Esta reflexión parte de los resultados obtenidos en la tesis doctoral sobre “Nuevos movimientos sociales y uso de las TIC. Estudio de casos” presentada en la Universidad Complutense de Madrid en el doctorado de Comunicación, Cambio Social y Desarrollo. Si bien estos movimientos han existido desde hace mucho tiempo, las nuevas tecnologías digitales permiten la visualización, expansión y divulgación mayor de sus agendas y propuestas. El “saber hacer” de estos nuevos movimientos y su capacidad de transformación social, son expresión de un marco de estrategias diferentes a las propuestas por los grupos tradicionales enmarcados en los partidos políticos. Las metodologías de acción civil requieren de un flujo natural de la información, que los partidos políticos no pueden reproducir. Los recursos simbólicos y las expresiones de sentimientos y emociones, saltan a la palestra del juego social configurando un nuevo lenguaje, una manera distinta de ser. Más allá de la implicaciones mediáticas y políticas, hay un trasfondo en términos de cambio social profundo.

Soft computing based parameter identification in pavements and geomechanical systems

Accurate estimation of road pavement geometry and layer material properties through the use of proper nondestructive testing and sensor technologies is essential for evaluating pavement’s structural condition and determining options for maintenance and rehabilitation. For these purposes, pavement deflection basins produced by the nondestructive Falling Weight Deflectometer (FWD) test data are commonly used. The nondestructive FWD test drops weights on the pavement to simulate traffic loads and measures the created pavement deflection basins. Backcalculation of pavement geometry and layer properties using FWD deflections is a difficult inverse problem, and the solution with conventional mathematical methods is often challenging due to the ill-posed nature of the problem. In this dissertation, a hybrid algorithm was developed to seek robust and fast solutions to this inverse problem. The algorithm is based on soft computing techniques, mainly Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) as well as the use of numerical analysis techniques to properly simulate the geomechanical system. A widely used pavement layered analysis program ILLI-PAVE was employed in the analyses of flexible pavements of various pavement types; including full-depth asphalt and conventional flexible pavements, were built on either lime stabilized soils or untreated subgrade. Nonlinear properties of the subgrade soil and the base course aggregate as transportation geomaterials were also considered. A computer program, Soft Computing Based System Identifier or SOFTSYS, was developed. In SOFTSYS, ANNs were used as surrogate models to provide faster solutions of the nonlinear finite element program ILLI-PAVE. The deflections obtained from FWD tests in the field were matched with the predictions obtained from the numerical simulations to develop SOFTSYS models. The solution to the inverse problem for multi-layered pavements is computationally hard to achieve and is often not feasible due to field variability and quality of the collected data. The primary difficulty in the analysis arises from the substantial increase in the degree of non-uniqueness of the mapping from the pavement layer parameters to the FWD deflections. The insensitivity of some layer properties lowered SOFTSYS model performances. Still, SOFTSYS models were shown to work effectively with the synthetic data obtained from ILLI-PAVE finite element solutions. In general, SOFTSYS solutions very closely matched the ILLI-PAVE mechanistic pavement analysis results. For SOFTSYS validation, field collected FWD data were successfully used to predict pavement layer thicknesses and layer moduli of in-service flexible pavements. Some of the very promising SOFTSYS results indicated average absolute errors on the order of 2%, 7%, and 4% for the Hot Mix Asphalt (HMA) thickness estimation of full-depth asphalt pavements, full-depth pavements on lime stabilized soils and conventional flexible pavements, respectively. The field validations of SOFTSYS data also produced meaningful results. The thickness data obtained from Ground Penetrating Radar testing matched reasonably well with predictions from SOFTSYS models. The differences observed in the HMA and lime stabilized soil layer thicknesses observed were attributed to deflection data variability from FWD tests. The backcalculated asphalt concrete layer thickness results matched better in the case of full-depth asphalt flexible pavements built on lime stabilized soils compared to conventional flexible pavements. Overall, SOFTSYS was capable of producing reliable thickness estimates despite the variability of field constructed asphalt layer thicknesses.

Investigating assistive technology to support memory for people with cognitive impairments

Technologies such as automobiles or mobile phones allow us to perform beyond our physical capabilities and travel faster or communicate over long distances. Technologies such as computers and calculators can also help us perform beyond our mental capabilities by storing and manipulating information that we would be unable to process or remember. In recent years there has been a growing interest in assistive technology for cognition (ATC) which can help people compensate for cognitive impairments. The aim of this thesis was to investigate ATC for memory to help people with memory difficulties which impacts independent functioning during everyday life. Chapter one argues that using both neuropsychological and human computing interaction theory and approaches is crucial when developing and researching ATC. Chapter two describes a systematic review and meta-analysis of studies which tested technology to aid memory for groups with ABI, stroke or degenerative disease. Good evidence was found supporting the efficacy of prompting devices which remind the user about a future intention at a set time. Chapter three looks at the prevalence of technologies and memory aids in current use by people with ABI and dementia and the factors that predicted this use. Pre-morbid use of technology, current use of non-tech aids and strategies and age (ABI group only) were the best predictors of this use. Based on the results, chapter four focuses on mobile phone based reminders for people with ABI. Focus groups were held with people with memory impairments after ABI and ABI caregivers (N=12) which discussed the barriers to uptake of mobile phone based reminding. Thematic analysis revealed six key themes that impact uptake of reminder apps; Perceived Need, Social Acceptability, Experience/Expectation, Desired Content and Functions, Cognitive Accessibility and Sensory/Motor Accessibility. The Perceived need theme described the difficulties with insight, motivation and memory which can prevent people from initially setting reminders on a smartphone. Chapter five investigates the efficacy and acceptability of unsolicited prompts (UPs) from a smartphone app (ForgetMeNot) to encourage people with ABI to set reminders. A single-case experimental design study evaluated use of the app over four weeks by three people with severe ABI living in a post-acute rehabilitation hospital. When six UPs were presented through the day from ForgetMeNot, daily reminder-setting and daily memory task completion increased compared to when using the app without the UPs. Chapter six investigates another barrier from chapter 4 – cognitive and sensory accessibility. A study is reported which shows that an app with ‘decision tree’ interface design (ApplTree) leads to more accurate reminder setting performance with no compromise of speed or independence (amount of guidance required) for people with ABI (n=14) compared to a calendar based interface. Chapter seven investigates the efficacy of a wearable reminding device (smartwatch) as a tool for delivering reminders set on a smartphone. Four community dwelling participants with memory difficulties following ABI were included in an ABA single case experimental design study. Three of the participants successfully used the smartwatch throughout the intervention weeks and these participants gave positive usability ratings. Two participants showed improved memory performance when using the smartwatch and all participants had marked decline in memory performance when the technology was removed. Chapter eight is a discussion which highlights the implications of these results for clinicians, researchers and designers.

As relações da tríplice hélice no setor da carcinicultura do Rio Grande do Norte: uma análise a partir das abordagens da imersão social e da dependência de recursos

This work consists in a study of the Shrimp Industry in the state of Rio Grande do Norte, whose central issue relates to the understanding of how the Triple Helix (University, Government and the productive sector) interrelationship limits or expands the industry s innovation process. The study aims to understand how the Triple Helix relationship interferes in the innovation process of shrimp in Rio Grande do Norte. As the knowledge becomes the resource key for production methods, the generation of new technologies, new products and processes which demands joint and integrated action of the institutions comprising the Triple Helix: University, Government and productive sector, which possess the essential resources to innovate the process and can be maximized from cooperative relationships between the referred Institutions. Thus, in this work, it was sharply used the pioneering studies of Sabato and Botana (1968) regarding the cooperation relationship between the scientific-technological sphere, the governmental and the productive base, and studies on the Triple Helix approach, proposed by Etzkowitz and Leydesdorff (2000), in which the university has a key role in the process of technological and innovative development of countries and regions, and under which it is assigned to the very University - the character of the entrepreneurial institution, through the concept of entrepreneurial University. Aiming to overcome the criticism of Cooke (2005), regarding the limitations of the Triple Helix approach, in this study it was used - as analytical perspectives - the perspective of social immersion (Granovetter, 1985, 2005) and the theory of resources dependence (PFEFFER; SALANCIK, 1978). The analytical perspectives presented in here, despite of the different assumptions, are essential to eliminate the bias that one only approach can lead (ASTLEY; VAN DE VEM; 2007). The authors arguments focus on the fact that the integration is possible if the researcher acknowledged that different perspectives may have different descriptions of the same phenomenon. As a research strategy, this study is characterized as a study case, along with the proposed objectives - the qualitative method was used as an approach and, depending on the gathering of the sector s historical, a sectional longitudinal view approach was applied (VIEIRA, 2004). The primary and secondary data were used in order to understand the sector s evolutionary process and its inter-institutional relations - regarding the shrimp culture in Rio Grande do Norte - to promote the development, as the content was used for the technical analysis (BARDIN, 1977). The approach of social immersion and resources addiction dependence made it possible to understand that relationships are established within and between each sphere (university, government and productive sector) characterizing a network of low density relationships and strongly internal and external dependence. Based on the speech of Etzkowitz and Mello (2006), a successful Triple Helix strategy of innovation requires not only the involvement and commitment of the parts, within the institutional sphere and among them, but also the development of mechanisms to coordinate the multiple and complex interactions and interfaces, focusing on promoting both environment and context for innovation and learning; it can be acknowledge from study results that the shrimp in the State of the RN, although there are several institutional mechanisms to promote greater integration and technological development, has been presented disjointed - both internally and between the spheres - and under no legitimate practice when facing the innovational promotion and integration institutions. Due to those factors, the central institutions of the network are crucial to the promotion of innovations, spreading through their direct contacts the importance factor of the sustainable competitive activity in the world market and on the national level. However, it may be concluded, from the data, that the Triple Helix relations are interfering in a negative way on what concerns the promotion of innovations in the shrimp industry in RN

Information and communication technologies in tourism: challenges and trends

The integration of Information and Communication Technologies (ICT) in the tourism industry is an essential element for the success of any tourism enterprise. ICTs provide access to information of tourism products from anywhere and at any time. Tour companies may also reach out to target customers around the world through a series of emerging technologies. This paper aims to make a review of the main key factors of ICT in Tourism. Aspects such as the quality of the website, Digital Marketing, Social Networking, Multimedia, Mobile Technologies and Intelligent Environments are discussed.

Introducing mobile edge computing capabilities through distributed 5G Cloud Enabled Small Cells

Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing units and remote radio headers makes it possible to process some of the protocols in centralised premises, likely with virtualised resources. On the other hand, mobile edge computing makes use of processing and storage capabilities close to the air interface in order to deploy optimised services with minimum delay. The confluence of both trends is a hot topic in the definition of future 5G networks. The full centralisation of both technologies in cloud data centres imposes stringent requirements to the fronthaul connections in terms of throughput and latency. Therefore, all those cells with limited network access would not be able to offer these types of services. This paper proposes a solution for these cases, based on the placement of processing and storage capabilities close to the remote units, which is especially well suited for the deployment of clusters of small cells. The proposed cloud-enabled small cells include a highly efficient microserver with a limited set of virtualised resources offered to the cluster of small cells. As a result, a light data centre is created and commonly used for deploying centralised eNB and mobile edge computing functionalities. The paper covers the proposed architecture, with special focus on the integration of both aspects, and possible scenarios of application.

VOX POPULI: THREE ESSAYS ON THE USE OF SOCIAL MEDIA FOR VALUE CREATION IN SERVICES

Prior research shows that electronic word of mouth (eWOM) wields considerable influence over consumer behavior. However, as the volume and variety of eWOM grows, firms are faced with challenges in analyzing and responding to this information. In this dissertation, I argue that to meet the new challenges and opportunities posed by the expansion of eWOM and to more accurately measure its impacts on firms and consumers, we need to revisit our methodologies for extracting insights from eWOM. This dissertation consists of three essays that further our understanding of the value of social media analytics, especially with respect to eWOM. In the first essay, I use machine learning techniques to extract semantic structure from online reviews. These semantic dimensions describe the experiences of consumers in the service industry more accurately than traditional numerical variables. To demonstrate the value of these dimensions, I show that they can be used to substantially improve the accuracy of econometric models of firm survival. In the second essay, I explore the effects on eWOM of online deals, such as those offered by Groupon, the value of which to both consumers and merchants is controversial. Through a combination of Bayesian econometric models and controlled lab experiments, I examine the conditions under which online deals affect online reviews and provide strategies to mitigate the potential negative eWOM effects resulting from online deals. In the third essay, I focus on how eWOM can be incorporated into efforts to reduce foodborne illness, a major public health concern. I demonstrate how machine learning techniques can be used to monitor hygiene in restaurants through crowd-sourced online reviews. I am able to identify instances of moral hazard within the hygiene inspection scheme used in New York City by leveraging a dictionary specifically crafted for this purpose. To the extent that online reviews provide some visibility into the hygiene practices of restaurants, I show how losses from information asymmetry may be partially mitigated in this context. Taken together, this dissertation contributes by revisiting and refining the use of eWOM in the service sector through a combination of machine learning and econometric methodologies.

Tecnologia social para autogestão : um estudo em empreendedorismo econômico solidário da cadeia produtiva da cajucultura no Rio Grande do Norte

The theme of this dissertation is social technology for self-management: a study in economic enterprise supportive of Rio Grande do Norte. The research aimed to obtain evidence that the reapplication of technology management, basic economic-financial and pricing, as production costs, has the potential to contribute to the self-management of APABV. The social technology and self-management are theoretical frameworks used and where workers are central figures in both the generation and replication of technologies that are compatible with their realities, as in the conduct and management approach adopted by them in their venture, they are makers decisions. To achieve the proposed objective was accomplished participatory research, which was used in addition to document analysis, participatory methodologies such as the construction of the DRP, group interview, experience in the production environment and family of entrepreneurs APABV. This research allowed the management technologies such as spreadsheets controls basic economic and financial costs, when socialized and understood by workers has the potential informational and become part of their daily decision-making process of the project, making up social technology