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UFMS

Federal University of Mato Grosso do Sul
Country: Brazil
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48 Projects, page 1 of 10
  • Funder: National Science Foundation Project Code: 660F233
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  • Funder: National Science Foundation Project Code: 9529791
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  • Funder: European Commission Project Code: 834514
    Overall Budget: 2,498,590 EURFunder Contribution: 2,498,590 EUR

    Understanding the human journey of global colonisation is the history of modern humanity and the development of the diverse characteristics of peoples and cultures around the world. This five-year interdisciplinary project will investigate the peopling of South America, the last continental terra incognita (other than Antarctica) to be colonised by humans, constituting a virtually unprecedented migration of modern humans across richly diverse, empty landscapes during the Late Pleistocene-Early Holocene transition. Situated at the geographical gateway to the continent, the project will investigate one of the most momentous demographic dispersals of our species into the diverse environments of north-western South America, encompassing coasts, savannahs and lowland, Sub Andean and Andean tropical forests. This process took place amidst one of the most significant climatic, environmental, and subsistence regime shifts in human history, which contributed to the extinction of megafauna, plant domestication, and today’s remarkable diversity of indigenous South American groups. Despite its geographical importance and a wealth of archaeological and palaeoecological data across its diverse environments, north-western South America has only been given cursory consideration to understand processes of human dispersion. This project will redress this imbalance by applying an innovative interdisciplinary approach that integrates state-of-art archaeology, archaeobotany, zooarchaeology, palaeoclimatology, palaeoecology, ancient environmental DNA and isotope studies. The results will provide a global comparative perspective to the study of Late Pleistocene human colonisations, hunter-gatherer adaptations, the demise of megafauna and the beginning of plant cultivation and domestication. The results of the project have broader implications not only for archaeology but also for geography, palaeoclimate, palaeoecology, and molecular biology.

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  • Funder: European Commission Project Code: 231730
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  • Funder: CHIST-ERA Project Code: MACACO

    Finding new ways to manage the increased data usage and to improve the level of service required by the new wave of smartphones applications is an essential issue. MACACO project proposes an innovative solution to this problem by focusing on data offloading mechanisms that take advantage of context and content information. Our intuition is that if it is possible to extract and forecast the behaviour of mobile network users in the three-dimensional space of time, location and interest (i.e. ‘what data’, ‘when’ and ‘where’ users are pulling data from the network), it is possible to derive efficient data offloading protocols. Such protocols would pre-fetch the identified data and cache it at the network edge at an earlier time, preferably when the mobile network is less charged, or offers better quality of service. Caching can be done directly at the mobile terminals, but as well at the edge nodes of the network (e.g., femtocells or wireless access points). Building on previous research efforts in the fields of social wireless networking, opportunistic communications and content networking, MACACO will address several issues. The first one is to derive appropriate models for the correlation between user interests and their mobility. Lots of studies have characterized mobile nodes mobility based on real world data traces, but knowledge about the interactions with user interests in this context is still missing. To fill this gap, MACACO proposes to acquire real world data sets to model mobile node behaviour in the aforementioned three-dimensional space. The second issue addressed is the derivation of efficient data-offloading algorithms leveraging the large-scale data traces and corresponding models. Firstly, simple and efficient prediction algorithms will be derived to forecast the node’s mobility and interests. Then, MACACO has to output data pre-fetching mechanisms that both improves the perceived quality of service of the mobile user and noticeably offloads pick bandwidth demands at the cellular network. A proof of concept will be exhibited though a federated testbed located in France, Switzerland and in the UK. The consortium was carefully constituted to gather partners that are pretty complementary and qualified to address the context-content correlation and related data offloading challenge. The partners of MACACO will combine research and experience in a wide set of areas to gain unique competence, which will be brought forward to other European partners through the dissemination and exploitation activities of the consortium.

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