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Ghent University
Country: Belgium
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866 Projects, page 1 of 174
  • Funder: EC Project Code: 623082
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  • Funder: EC Project Code: 101065205
    Funder Contribution: 226,694 EUR

    HI-LANDeS develops a conceptually innovative and empirically grounded historicising approach to the transformation and governance of rural landscapes. In the face of planetary-wide anthropogenic change, new knowledge and methods are required to better grasp how human and nonhuman lives co-produce socio-environmental transformations through “more-than-human” histories. Strategic sites for carbon storage, water sources, and biodiversity, as well as home to resilient indigenous communities, Andean wetlands offer a unique case-study to examine “more-than-human” landscape histories, and how these can inform contemporary socio-environmental challenges. The main objective of HI-LANDeS is to construct and apply an analytical framework that integrates a historicising, systemic, and more-than-human perspective on rural landscapes to investigate the role of communal practices and knowledge production around water and land in the transformation and governance of rural landscapes. HI-LANDeS departs from two case studies in indigenous communities of the Bolivian-Chilean highlands, based on archival research, fieldwork, and community workshops, analysed within a global framework and a transdisciplinary collaboration. HI-LANDeS will produce new empirical knowledge, critical theoretical insights, and innovative co-creational methods that can contribute to more inclusive conservation and rural development policies, in the Andes, Europe but also more globally. This global fellowship facilitates a three-way transfer of knowledge between expertise in rural history, world-ecology, and rural development at UGent (Belgium), a strong tradition in Andean historical anthropology at UTA (Chile), and the fellow’s trajectory in environmental humanities. Through an intersectoral secondment at NGO Agua Sustentable (Bolivia), the fellow will enable a knowledge transfer between historical research and environmental governance.

  • Funder: EC Project Code: 219665
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  • Funder: EC Project Code: 846316
    Overall Budget: 178,320 EURFunder Contribution: 178,320 EUR

    Whole-plant assessment of Innovative, Sustainable and Energy-efficient Future Layouts Of Wastewater treatment plants The WISEFLOW project addresses multiple, and oftentimes conflicting, current and future challenges of wastewater treatment plants: load increases due to population growth and urbanization, stricter effluent quality limits, space-limitations for building new plants, energy-efficiency and last but not the least, sustainability. A promising perspective to address these challenges is through the integration of existing and novel technologies, in a smart and innovative way, within wastewater treatment plant configurations. These technologies include, but are not limited to: anaerobic treatment, high-rate activated sludge units, chemically enhanced primary treatment, aerobic granular sludge systems and shortcut nitrogen removal processes. Moreover, besides description of carbon, nitrogen and phosphorus in biochemical processes, attention will be paid to the fate of sulfur, which has deleterious effects and is often overlooked but is particularly present in coastal areas. Research in this project will focus on key process engineering aspects, i.e. design and control, as the missing link to bring sustainable schemes for municipal wastewater treatment into practice. Through model-based analysis of unit processes and integrated schemes, including model calibration and validation based on experimental full- and lab-scale data, the proposed schemes will be optimized, evaluated and compared using multi-criteria objective analysis and newly-developed evaluation criteria. The overall multi-criteria evaluation and optimization of these novel wastewater treatment plant schemes is technically challenging and inherently innovative. The developed methodology and insights gained from this project will not be only most valuable as such, but will also be transferable to additional novel treatment technologies coming up in the future.

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  • Funder: EC Project Code: 660230
    Overall Budget: 211,965 EURFunder Contribution: 211,965 EUR

    This proposal for a Marie Sklodowska-Curie Global Fellowship is meant for the training of Dr. Pieter van Mierlo, currently at Ghent University, in the Functional Brain Mapping Laboratory (FBM Lab) of the University of Geneva, one of the world leading brain imaging laboratories. The goal of the project is to explore the communication between brain regions in epilepsy patients to ameliorate their treatment. In the first stage a non-invasive tool, ElectroEncephaloGraphy (EEG), will be used to measure the electric field of the brain through electrodes placed on top of the scalp. By measuring the voltage difference between the EEG electrodes the electric field of the brain can be studied with a high temporal resolution (ms). Recently, high density EEG (hd-EEG) systems have been developed with up to 256 electrodes. These systems allow more accurate measurements compared to the old systems having only ± 32 electrodes. The FBM Lab is one of the few labs that have hd-EEG recordings of epilepsy patients. In this project we will develop an algorithm to investigate the brain networks in epilepsy patients based on hd-EEG recordings. The brain networks will be studied to localize the epileptic focus, the brain region that causes the seizures. In the second stage hd-EEG will be combined with functional Magnetic Resonance Imaging (fMRI) that images the concentration of oxygen in the brain with a high spatial resolution (mm). The simultaneously recorded hd-EEG / fMRI allows studying the brain networks with both a high temporal and spatial resolution. Furthermore, fMRI is more sensitive to record brain activity of deep brain structures compared to hd-EEG. The added value of combining hd-EEG with fMRI to localize the epileptic focus will be assessed. In the third and final stage, the developed algorithms will be implemented at the UGent. A prospective study will be done to quantify the influence of functional connectivity analysis on patients’ treatment management.

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