Disciplines - Revision history

Zivan: Zivan moved page Discipline to Disciplines

2017-01-04T15:07:50Z

Zivan moved page Discipline to Disciplines

← Older revision	Revision as of 15:07, 4 January 2017
(No difference)

Zivan at 15:07, 4 January 2017

2017-01-04T15:07:38Z

← Older revision		Revision as of 15:07, 4 January 2017
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	~~= Disciplines =~~
	== Climate ==		== Climate ==
	VI-SEEM will have strong impact on the Climate Modelling and weather forecasting communities. First, there is significant potential to share best practice and data for local and regional Climate Modelling, Weather forecasting and air quality simulations. The community will benefit from the combination of HPC and Grid computing jointly with the storage facilities as it heavily relies on data from very scattered locations.		VI-SEEM will have strong impact on the Climate Modelling and weather forecasting communities. First, there is significant potential to share best practice and data for local and regional Climate Modelling, Weather forecasting and air quality simulations. The community will benefit from the combination of HPC and Grid computing jointly with the storage facilities as it heavily relies on data from very scattered locations.

Zivan at 15:07, 4 January 2017

2017-01-04T15:07:17Z

← Older revision		Revision as of 15:07, 4 January 2017
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	= ~~Discipline~~ =		= Disciplines =
	== Climate ==		== Climate ==
	VI-SEEM will have strong impact on the Climate Modelling and weather forecasting communities. First, there is significant potential to share best practice and data for local and regional Climate Modelling, Weather forecasting and air quality simulations. The community will benefit from the combination of HPC and Grid computing jointly with the storage facilities as it heavily relies on data from very scattered locations.		VI-SEEM will have strong impact on the Climate Modelling and weather forecasting communities. First, there is significant potential to share best practice and data for local and regional Climate Modelling, Weather forecasting and air quality simulations. The community will benefit from the combination of HPC and Grid computing jointly with the storage facilities as it heavily relies on data from very scattered locations.

Zivan: /* Life Sciences */

2016-12-20T13:21:05Z

Life Sciences

← Older revision		Revision as of 13:21, 20 December 2016
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	The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.		The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.

	'''''User Community for [[~~Life_Science~~]]'''''		'''''User Community for [[Life_Sciences]]'''''

Zivan: /* Culture Heritage */

2016-12-20T13:20:26Z

Culture Heritage

← Older revision		Revision as of 13:20, 20 December 2016
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	Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.		Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.

	'''''User Community for [[~~Culture_heritage~~]]'''''		'''''User Community for [[Culture_Heritage]]'''''

	== Life Sciences ==		== Life Sciences ==

Zivan: /* Culture Heritage */

2016-12-20T12:28:50Z

Culture Heritage

← Older revision		Revision as of 12:28, 20 December 2016
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	Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.		Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.

	'''''User Community for [[~~Culture_Heritage~~]]'''''		'''''User Community for [[Culture_heritage]]'''''

	== Life Sciences ==		== Life Sciences ==

Zivan: /* Life Sciences */

2016-12-20T12:26:25Z

Life Sciences

← Older revision		Revision as of 12:26, 20 December 2016
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	The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.		The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.

	'''''User Community for [[~~Life Sciences~~]]'''''		'''''User Community for [[Life_Science]]'''''

Zivan: /* Culture Heritage */

2016-12-20T12:25:40Z

Culture Heritage

← Older revision		Revision as of 12:25, 20 December 2016
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	Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.		Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.

	'''''User Community for [[~~Culture Heritage~~]]'''''		'''''User Community for [[Culture_Heritage]]'''''

	== Life Sciences ==		== Life Sciences ==

Zivan: /* Discipline */

2016-12-20T12:25:11Z

Discipline

← Older revision		Revision as of 12:25, 20 December 2016
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	Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.		Beyond the data needs, VI-SEEM will also facilitate the slow transition of the Cultural Heritage community towards computational more intensive activities, such as high detail rendering of 3D modelling, and simulations of environmental influence on historical buildings. Shared datasets, easy remote access and visualization enabled by the VI-SEEM platform will offer a novel approach to Cultural Heritage research that can foster innovation in methodologies and applications used. The Cultural Heritage Scientific Community of VI-SEEM consists of 11 research institutes from 7 countries.

	== Life ~~Science~~ ==		'''''User Community for [[Culture Heritage]]'''''

			== Life Sciences ==
	Life Sciences will largely benefit from VI-SEEM that will facilitate through the VRE the laborious analysis and processing of big data arising from decoding the human genome in health and disease. The associated data analysis challenges include capture, curation, analysis, search, sharing, storage, transfer, and visualization. The VI-SEEM community consists of 12 research institutes from 9 different countries of the region.		Life Sciences will largely benefit from VI-SEEM that will facilitate through the VRE the laborious analysis and processing of big data arising from decoding the human genome in health and disease. The associated data analysis challenges include capture, curation, analysis, search, sharing, storage, transfer, and visualization. The VI-SEEM community consists of 12 research institutes from 9 different countries of the region.
	The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.		The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.

			'''''User Community for [[Life Sciences]]'''''

Zivan: /* Climate */

2016-12-20T12:24:07Z

Climate

← Older revision		Revision as of 12:24, 20 December 2016
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	Additionally, VI-SEEM will create many opportunities for users that have not collaborated before to engage in joint activities: with code repositories and training material for climate models, the VRE will create a highly productive working environment for Climate scientists from the 12 different research groups distributed over 10 countries. Finally, the regional research activity also links into global efforts towards understanding the climatic changes and challenges. The services provided by this community enable contingency planning and help understand climatic conditions within which our future societies will live.		Additionally, VI-SEEM will create many opportunities for users that have not collaborated before to engage in joint activities: with code repositories and training material for climate models, the VRE will create a highly productive working environment for Climate scientists from the 12 different research groups distributed over 10 countries. Finally, the regional research activity also links into global efforts towards understanding the climatic changes and challenges. The services provided by this community enable contingency planning and help understand climatic conditions within which our future societies will live.

	User Community for [[Climate]]		'''''User Community for [[Climate]]'''''

	== Culture Heritage ==		== Culture Heritage ==