An Ivory Tower on the Outskirts of Town: The Othered Intellectual in Joyce and Ellison

In this thesis, I examine a pairing of protagonists and texts, Stephen Dedalus of James Joyce’s A Portrait of the Artist as a Young Man (1916) and the unnamed protagonist-narrator of Ralph Ellison’s Invisible Man (1953), to explore the ways in which these protagonists are Othered as a result of their unconventional intellectualism, and how that Othering impacts their progress towards self-actualization. Making use of writings by Jacques Lacan, Pierre Bourdieu, Edward Said, Hélène Cixous, Louis Althusser, and Richard Rorty, among others, I engage with theories of language, intellect, intellectualism, and the role of the intellectual, especially when he/she is a marginalized figure. I assert that in opting for self-imposed exile, these two Othered intellectuals step outside of the society of which they are products to occupy liminal spaces, outside of convention, from which they are able to function and be productive as intellectuals. Ultimately, I contend that their portrayals demonstrate that high intellectual pursuits have inherent and intrinsic value, if only for their import and centrality to the intellectuals themselves

Racism, Reform, Revolution? The Segrenomics of American Education. A Book Review of \u3cem\u3eCutting School: Privatization, Segregation, and the End of Public Education\u3c/em\u3e

A review of the book Cutting School: Privatization, Segregation, and the End of Public Education, by Noliwe Rooks (The New Press, 2017)

Racism, Reform, Revolution? The Segrenomics of American Education. A Book Review of \u3cem\u3eCutting School: Privatization, Segregation, and the End of Public Education\u3c/em\u3e

A review of the book Cutting School: Privatization, Segregation, and the End of Public Education, by Noliwe Rooks (The New Press, 2017)

Simulating the effect of climatic variations on the long-term performance of different agroforestry systems within field trials using virtual experiments

Agroforestry systems can reduce some of the adverse effects of climate change in agriculture by e.g. serving as a windbreak or shade provider to protect crops or grazing livestock and supporting beneficial species for pest control. The prediction of the long-term performance of different agroforestry options is however difficult to obtain through field quantify experiments due to the length of time trees grow for experiments. Numerical modelling can contribute to a better understanding of a system’s performance, since the effect of different climatic alterations can be tested using virtual experiments for different periods of time. Within the Horizon 2020 AGROMIX project, we are analysing the long-term performance of eight different agroforestry trials (Figure 1), using different modelling approaches. The trials are spread over three biogeographic regions (Mediterranean, Continental, and Atlantic) and are of varying age (4 to 33 years). In total, six silvoarable and five silvopastoral farming systems are maintained at the eight field trials. Through the use of different numerical models the effect of changes in temperature and precipitation patterns or the occurrence of extreme events such as droughts or late spring frost on the different agroforestry systems will be predicted. Additionally, experimental data on crop performance as well as animal behaviour and welfare, in particular under heat stress, are being obtained and will potentially be included in the model predictions. This poster aims to give an overview on the field trials and the numerical modelling approaches that are being applied to predict long-term system performance

Wetland extent tools for SDG 6.6.1 reporting from the Satellite-based Wetland Observation Service (SWOS)

Wetlands are the most fragile and threatened ecosystems worldwide, and also one of the most rapidly declining. At the same time wetlands are typically biodiversity hotspots and provide a range of valuable ecosystem services, such as water supply and purification, disaster risk reduction, climate change adaptation, and carbon sequestration. Pressures on wetlands are likely to further intensify in the coming decades due to increased global demand for land and water, and due to climate change. Stakeholders at all levels of governance have to be involved to slow, stop and reverse these processes. However, the information they need on wetland extent, their ecological character, and their ecosystem services is often scattered, sparse and difficult to find and access. The freely available Sentinel satellite data of the Copernicus Programme, as well as the Landsat archive, provide a comprehensive basis to map and inventory wetland areas (extent), to derive information on the ecological status, as well as long- and short-term trends in wetland characteristics. However, making use of these Earth Observation (EO) resources for robust and standardized wetland monitoring requires expert knowledge on often complex data processing techniques, which impedes practical implementation. In this respect, the Satellite-based Wetland Observation Service (SWOS), a Horizon 2020 funded project (www.swos-service.eu) has developed and made disseminated monitoring approaches based on EO data, specifically designed for less experienced satellite data users. The SWOS monitoring tools aim at assisting countries in conducting national wetland inventories for their Sustainable Development Goals (SDG) reporting and monitoring obligations, and additionally facilitates other monitoring obligations such as those required by the Ramsar Convention and supports decision-making in local conservation activities. The four main components of the SWOS approach are: map and indicator production; software development; capacity building; and initializing the GEO Wetlands Community Portal. Wetland managers and data analysists from more than fifty wetland sites and river basins across Europe, the Middle East, and Africa investigated the benefits and limitations of this EO-based wetland mapping and monitoring approach. We describe research that applies the SWOS tools to test their potential for the mapping of wetlands in a case study based in Albania, and show its effectiveness to derive metrics relevant to the monitoring of SDG indicator 6.6.1