Workshop Registration
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About the Workshop
Can we harness Artificial Intelligence (AI) in our efforts to build a more sustainable world?
Artificial Intelligence (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.
While 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.
The 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.
We will achieve this through a combination of formal presentations, panel discussions and demonstrations on topics including but not limited to:
- 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.
- How sensing and actuation as applied to environmental monitoring and decision support tools for water management (flooding, coastal pollution, material contamination etc).
- How optimising flexible car routing and scheduling (ridesharing) and other demand-responsive transport initiatives can reduce congestion.
- How AI can be used to manage and optimise smart energy grids, predict and exploit sustainable energy sources such wind energy.
- How we can make decisions at internet scale to manage data centres in an energy-efficient manner.
- 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.
AI Technologies & Methods
During 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.
Application Areas of Focus
We 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.
Provisional Agenda
Time |
Activity |
|---|---|
| 09:30-10:15 |
Registration, Tea & Networking |
| 10:15-10:20 |
Welcome
MC will be Kathriona Devereux
|
|
10:20-10:30 |
Opening Address
AI for Sustainability: From Moon-shot to Moon-landing Professor Barry O’Sullivan, MRIA Director, Insight Centre for Data Analytics, UCC and Sustainability Theme Leader at Insight
|
| 10:30-11:00 |
Invited Keynote Address
Speaker TBA
|
|
11:00-11:20 |
Tea & Networking |
|
11:20-13:00 |
Session 1: Opportunities & Challenges for AI in Sustainability
This session will present how AI, data analytics, and data science have addressed a variety of sustainability challenges. Format: 4 x 15 minute talks plus 1 x 40 minute panel discussion. |
| 13:00-14:00 |
Lunch & Networking
A set of posters and demos will be available. A speakers corner will also be available for people wishing to give a very short lightning talk (max. 5 minutes each)
|
| 14:00-15:40 |
Session 2: Partnership Building in AI & Sustainability Projects
This session will explore opportunities for participants to partner and collaborate on addressing sustainability challenges, and explore how to create a community of partners interested in working together in the area. Format: 4 x 15 minute talks plus 1 x 40 minute panel discussion. |
| 15:40-16:00 |
Tea & Networking |
| 16:00-16:45 |
Open Discussion and Next Steps
In this session we will formulate a statement on the outcome of the day, outlining next steps, and further opportunities for collaboration.
|
Event location: Deane Woodward Suite, Kingsley Hotel, Cork
Date: Monday, 10 December, 2018
