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DTSTART:20181210T093000Z
DTEND:20181210T170000Z
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SUMMARY:Artificial Intelligence for Sustainability by The Insight Centre for Data Analytics
DESCRIPTION:About the Workshop\n\nCan we harness Artificial Intelligence (AI) in our efforts to build a more sustainable world? AI plays a significant role in the world today. Its impact has been transformational and it has been disrupting society and industry alike. Sustainability is one of the greatest challenges facing us today and requires action in a variety of areas such as clean energy\, agriculture\, population health\, food security\, transportation\, consumption\, industry\, and the appropriate management of our natural resources. At the Insight Centre for Data Analytics\, we believe that AI\, data analytics\, and data science\, have a significant role to play in evidence-based policy-making to support sustainability\, as well as providing a tool to monitor and achieve sustainability objectives across a wide range of settings.\n\nWhile the United Nations Sustainable Development Goals set out a global sustainability agenda\, organisations and governments have set out specific programmes of their own that provide ideal opportunities for the power of AI\, data analytics and data science\, to be brought to bear on addressing major challenges.\n\nThe objective of this event is to bring together a broad range of participants interested in addressing a variety of sustainability challenges across a myriad of different domains such as energy\, agriculture\, health\, transport\, manufacturing\, etc.\, along with experts from the Insight Centre for Data Analytics\, to discuss the challenges and opportunities for AI\, data analytics\, and data science\, in the area. We will explore the opportunities for developing and deploying methods based on AI\, machine learning\, sensing\, optimisation and decision-making\, recommender systems\, big data\, citizen science\, and many other techniques to address sustainability challenges.\n\nWe will achieve this through a combination of formal presentations\, panel discussions and demonstrations on topics including but not limited to:\n\n\n \n How machine learning and data mining can be used to predict demand for transportation services\, and how optimisation methods can be used to meet that demand.\n \n \n How sensing and actuation as applied to environmental monitoring and decision support tools for water management (flooding\, coastal pollution\, material contamination etc).\n \n \n How optimising flexible car routing and scheduling (ridesharing) and other demand-responsive transport initiatives can reduce congestion.\n \n \n How AI can be used to manage and optimise smart energy grids\, predict and exploit sustainable energy sources such wind energy.\n \n \n How we can make decisions at internet scale to manage data centres in an energy-efficient manner.\n \n \n Apply optimisation and decision making to very large-scale\, ubiquitous and complex data sets (big-data) in addressing large-scale societal issues such as public health\, transportation\, agriculture\, decarbonisation and other environmental issues.\n \n\n\nAI Technologies & Methods\n\nDuring the day a variety of AI\, data analytics\, and data science\, methods and tools will be explored including: constraint programming\; machine learning\; machine vision\; natural language processing\; network analytics\; recommender systems\; linked data and semantic web\; and sensing.\n\nApplication Areas of Focus\n\nWe will explore a variety of application areas in which sustainability concerns arise including: health and well-being\; agriculture\, food production\, marine\; energy generation\, management\, and renewables\; smart transportation\; environment and natural resource management\; manufacturing\; smart inclusive government and policy-making\; and protection of freedom and rights to privacy.\n\nAgenda & Speakers\n\nThe workshop agenda and speaker list is still being finalised but please visit the AI for Sustainability Website for more up-to-date information on speakers\, agenda\, networking\, etc. (when available).
X-ALT-DESC;FMTTYPE=text/html:About the Workshop
\n\nCan we harness Artificial Intelligence (AI) in our efforts to build a more sustainable world? AI plays a significant role in the world today. Its impact has been transformational and it has been disrupting society and industry alike. Sustainability is one of the greatest challenges facing us today and requires action in a variety of areas such as clean energy\, agriculture\, population health\, food security\, transportation\, consumption\, industry\, and the appropriate management of our natural resources. At the Insight Centre for Data Analytics\, we believe that AI\, data analytics\, and data science\, have a significant role to play in evidence-based policy-making to support sustainability\, as well as providing a tool to monitor and achieve sustainability objectives across a wide range of settings.
\n\nWhile the United Nations Sustainable Development Goals set out a global sustainability agenda\, organisations and governments have set out specific programmes of their own that provide ideal opportunities for the power of AI\, data analytics and data science\, to be brought to bear on addressing major challenges.
\n\nThe objective of this event is to bring together a broad range of participants interested in addressing a variety of sustainability challenges across a myriad of different domains such as energy\, agriculture\, health\, transport\, manufacturing\, etc.\, along with experts from the Insight Centre for Data Analytics\, to discuss the challenges and opportunities for AI\, data analytics\, and data science\, in the area. We will explore the opportunities for developing and deploying methods based on AI\, machine learning\, sensing\, optimisation and decision-making\, recommender systems\, big data\, citizen science\, and many other techniques to address sustainability challenges.
\n\nWe will achieve this through a combination of formal presentations\, panel discussions and demonstrations on topics including but not limited to:
\n\n\n - \n
How machine learning and data mining can be used to predict demand for transportation services\, and how optimisation methods can be used to meet that demand.
\n \n - \n
How sensing and actuation as applied to environmental monitoring and decision support tools for water management (flooding\, coastal pollution\, material contamination etc).
\n \n - \n
How optimising flexible car routing and scheduling (ridesharing) and other demand-responsive transport initiatives can reduce congestion.
\n \n - \n
How AI can be used to manage and optimise smart energy grids\, predict and exploit sustainable energy sources such wind energy.
\n \n - \n
How we can make decisions at internet scale to manage data centres in an energy-efficient manner.
\n \n - \n
Apply optimisation and decision making to very large-scale\, ubiquitous and complex data sets (big-data) in addressing large-scale societal issues such as public health\, transportation\, agriculture\, decarbonisation and other environmental issues.
\n \n
\n\nAI Technologies &\; Methods
\n\nDuring the day a variety of AI\, data analytics\, and data science\, methods and tools will be explored including: constraint programming\; machine learning\; machine vision\; natural language processing\; network analytics\; recommender systems\; linked data and semantic web\; and sensing.
\n\nApplication Areas of Focus
\n\nWe will explore a variety of application areas in which sustainability concerns arise including: health and well-being\; agriculture\, food production\, marine\; energy generation\, management\, and renewables\; smart transportation\; environment and natural resource management\; manufacturing\; smart inclusive government and policy-making\; and protection of freedom and rights to privacy.
\n\nAgenda &\; Speakers
\n\nThe workshop agenda and speaker list is still being finalised but please visit the \;AI for Sustainability Website \;for more up-to-date information on speakers\, agenda\, networking\, etc. (when available).
\n
LOCATION:The Deane Woodward Suite\, Kingsley Hotel Carrigrohane T12 P680 Cork
UID:e.2489.13139
SEQUENCE:3
DTSTAMP:20260411T175908Z
URL:https://chamber.corkchamber.ie/events/details/artificial-intelligence-for-sustainability-by-the-insight-centre-for-data-analytics-13139
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