WHEN GLOBAL CONSERVATION MEETS LOCAL LIVELIHOODS: PEOPLE AND PARKS IN CENTRAL AMERICA

SummaryNational park and related forest conservation efforts tend to emanate from core areas of the world and are often imposed on rural people living on forest fringes in the least developed regions of lesser developed countries. We address the social and cultural processes that ensue when center-originatingconservation meets local people with their resource-dependent livelihoods, and how these vary under different circumstances. We examine and compare local people’s environmental andforest-related values and behaviors, using cultural models, after the establishment of national parks in two countries with very different social and environmental histories—Costa Rica and Honduras. We find that external cultural models were widely adopted by local people—hegemonic to the extent of structuring even discourse opposing conservation. Local people often expressed environmental values, but used formulaic language that suggested that these values were not well integrated with other aspects of their life and often not motivating. We pay particular attention to relationships between environmental values and livelihood values, and the varying ways that new, local environmental discourses and values emerge that mediate between these often conflicting value spheres.The recent international increase in national parks is a phenomenon of globalization, and often imposes new conservation practices and environmental values onto local people. While these new national parks have some broad public benefits that can be thought of as global, e.g. their role in preventing biodiversity loss and climate change, it is also true that few concrete benefits accrue to local people and that parks often impose great costs on local people in the form of lost land, diminished access to resources, and diminished autonomy as national governments and internationalorganizations extend into local life in new ways.These changes have serious repercussions for local people, often threatening their livelihoods and well-being in significant ways. Yet our results suggest that local people may be willing to work with park managers to co-inhabit landscapes when park managers are able to accommodate local livelihood needs.Keywords: National parks, Central America, Costa Rica, Honduras, forest conservationResumenLos parques nacionales y otros esfuerzos de conservación forestal tienden a surgir en las principales áreas núcleo del mundo, y por lo general son impuestos a los pobladores de espacios rurales que habitan franjas forestales de los países en vías de desarrollo.Este artículo se enfoca en los procesos sociales y culturales que se originan a partir de la imposición de estas áreas de conservación y sobre cómo se ve afectada la subsistencia de los pobladores que dependen de los recursos naturales de dichas áreas. También se evalúan y comparan los valores y comportamientos relacionados con el ambiente, percibidos por los pobladores con el establecimiento de parques nacionales, en dos países con historias sociales y ambientales muy diferentes como lo son Costa Rica y Honduras; para lo cual se utilizaron modelos culturales. Al respecto, se encontró que varios modelos culturales externos, que fueron ampliamente adoptados por los pobladores locales, han llegado a ser hegemónicos, afectando la conservación. Los habitantes del lugar estaban disconformes con respecto a los nuevos valores ambientales, porque estos, por un lado, no estaban adecuadamente integrados con otros aspectos de su vida, y por la escasa motivación en materia de conservación ambiental.De esta forma, se resalta la relación entre los valores ambientales y los valores de sus forma de vida;entre las nuevas formas de ruptura y los valores emergentes que median entre la esfera de valores conflictivos.El reciente aumento internacional de parques naciones es un fenómeno de globalización, y en consecuencia, impone nuevas prácticas de conservación y valores ambientales a los habitantes de estas localidades. Mientras estos nuevos parques nacionales generan algunas ventaja públicas, que pueden ser pensadas como globales (p.ej. su papel en la prevención de la pérdida de diversidad biológica y el cambio de clima), también ocasionan escasos beneficios para las comunidades, al imponer elevados costos para los pobladores locales como lo son: la pérdida de tierras, la disminución en el acceso a los recursos y la reducción de la autonomía, ya sea ante el gobierno nacional u organizaciones internaciones que extienden sus acciones políticas a la vida local en todas sus nuevas formas. Estos cambios repercuten drásticamente en los habitantes del lugar, lo cual a menudo amenaza, en general, el sustento y el bienestar, de modo significativo.Los resultados sugieren que los habitantes del lugar podrían estar dispuestos a trabajar con los gerentes del parque para co-habitar paisajes cuando éstos sean capaces de priorizar las necesidades de sobrevivencia de las formas de vida de los habitantes.Palabras clave: parques nacionales, América Central, Costa Rica, conservación forestal

Content-aware approach for improving biomedical image analysis: an interdisciplinary study series

Biomedicine is a highly interdisciplinary research area at the interface of sciences, anatomy, physiology, and medicine. In the last decade, biomedical studies have been greatly enhanced by the introduction of new technologies and techniques for automated quantitative imaging, thus considerably advancing the possibility to investigate biological phenomena through image analysis. However, the effectiveness of this interdisciplinary approach is bounded by the limited knowledge that a biologist and a computer scientist, by professional training, have of each other’s fields. The possible solution to make up for both these lacks lies in training biologists to make them interdisciplinary researchers able to develop dedicated image processing and analysis tools by exploiting a content-aware approach. The aim of this Thesis is to show the effectiveness of a content-aware approach to automated quantitative imaging, by its application to different biomedical studies, with the secondary desirable purpose of motivating researchers to invest in interdisciplinarity. Such content-aware approach has been applied firstly to the phenomization of tumour cell response to stress by confocal fluorescent imaging, and secondly, to the texture analysis of trabecular bone microarchitecture in micro-CT scans. Third, this approach served the characterization of new 3-D multicellular spheroids of human stem cells, and the investigation of the role of the Nogo-A protein in tooth innervation. Finally, the content-aware approach also prompted to the development of two novel methods for local image analysis and colocalization quantification. In conclusion, the content-aware approach has proved its benefit through building new approaches that have improved the quality of image analysis, strengthening the statistical significance to allow unveiling biological phenomena. Hopefully, this Thesis will contribute to inspire researchers to striving hard for pursuing interdisciplinarity.

Deploying and processing neural representations of signals

Neural representations (NR) have emerged in the last few years as a powerful tool to represent signals from several domains, such as images, 3D shapes, or audio. Indeed, deep neural networks have been shown capable of approximating continuous functions that describe a given signal with theoretical infinite resolution. This finding allows obtaining representations whose memory footprint is fixed and decoupled from the resolution at which the underlying signal can be sampled, something that is not possible with traditional discrete representations, e.g., grids of pixels for images or voxels for 3D shapes. During the last two years, many techniques have been proposed to improve the capability of NR to approximate high-frequency details and to make the optimization procedures required to obtain NR less demanding both in terms of time and data requirements, motivating many researchers to deploy NR as the main form of data representation for complex pipelines. Following this line of research, we first show that NR can approximate precisely Unsigned Distance Functions, providing an effective way to represent garments that feature open 3D surfaces and unknown topology. Then, we present a pipeline to obtain in a few minutes a compact Neural Twin® for a given object, by exploiting the recent advances in modeling neural radiance fields. Furthermore, we move a step in the direction of adopting NR as a standalone representation, by considering the possibility of performing downstream tasks by processing directly the NR weights. We first show that deep neural networks can be compressed into compact latent codes. Then, we show how this technique can be exploited to perform deep learning on implicit neural representations (INR) of 3D shapes, by only looking at the weights of the networks.

Proximity detection protocols for IoT devices

In recent years, we have witnessed the growth of the Internet of Things paradigm, with its increased pervasiveness in our everyday lives. The possible applications are diverse: from a smartwatch able to measure heartbeat and communicate it to the cloud, to the device that triggers an event when we approach an exhibit in a museum. Present in many of these applications is the Proximity Detection task: for instance the heartbeat could be measured only when the wearer is near to a well defined location for medical purposes or the touristic attraction must be triggered only if someone is very close to it. Indeed, the ability of an IoT device to sense the presence of other devices nearby and calculate the distance to them can be considered the cornerstone of various applications, motivating research on this fundamental topic. The energy constraints of the IoT devices are often in contrast with the needs of continuous operations to sense the environment and to achieve high accurate distance measurements from the neighbors, thus making the design of Proximity Detection protocols a challenging task.