Month: November 2023

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Climate data, the implication, and the AI technology

 Algorithmic decarbonisation seminar series

Can algorithms contribute to carbon reduction?

Globally, decarbonisation policies and strategies include the development and deployment of intelligent technologies, as well as highlighting the importance of actively addressing issues concerning just transitions. In light of this, the algorithmic decarbonisation seminar series begins by inviting Taiwanese scholars to share their research and views on the current situations and future visions of using intelligent technologies for carbon reduction. In doing so, it hopes to inspire more reflections and discussions on the social implications of deploying algorithms for decarbonisation. We also plan to invite Australian and Japanese scholars to share their work for understanding the present and future of decarbonisation and net zero transitions in different environmental, social, industrial and policy contexts.

Interdisciplinary dialogues are challenging and we thank our speakers for leading the way. We hope to see more of you in our talks. The seminar series will principally be in-person events, with limited online participation capacities. Please register for the talks and we will get back to you by email, including the link to your registered talk.

Title | Climate data, the implication, and the AI technology
Speaker | Dr. Shih-Yu Lee, Associate Research Fellow, Research Center for Environmental Changes, Academic Sinica

▸ Conventional climate data generally comes from observation or models with different spatial and temporal scales. What are the differences between these data? What does model version mean? In an ad hoc way, how do you choose from models, reanalysis, and downscaling data? We will talk about climate data for implications and a climate scientist’s view on embracing AI technology.

Time | 10:00 – 12:00 Friday, November 24, 2023
Venue | Zhi Xing Building 207, National Yang Ming Chiao Tung University -Yangming campus / online
Organizers | Institute of Science, Technology and Society, NYCU and The University of Sydney School of Architecture, Design and Planning
Co-organizers | Higher Education SPROUT Project; Research Center for Humanities and Social Sciences, NYCU; College of Humanities and Social Sciences, NYCU

Registration Link | https://forms.gle/hrukYsSTHhgYBQ8g7
Registration | Until November 19, 2023

Venue Information | https://ymmap.ga.nycu.edu.tw/

If you have any questions or suggestions, please feel free to contact the algorithimc decarbonisation project team, email: algodeco2@gmail.com

 

Posted on

Can algorithms contribute to carbon reduction?

Globally, decarbonisation policies and strategies include the development and deployment of intelligent technologies, as well as highlighting the importance of actively addressing issues concerning just transitions. In light of this, the algorithmic decarbonisation seminar series begins by inviting Taiwanese scholars to share their research and views on the current situations and future visions of using intelligent technologies for carbon reduction. In doing so, it hopes to inspire more reflections and discussions on the social implications of deploying algorithms for decarbonisation. We also plan to invite Australian and Japanese scholars to share their work for understanding the present and future of decarbonisation and net zero transitions in different environmental, social, industrial and policy contexts.

Interdisciplinary dialogues are challenging and we thank our speakers for leading the way. We hope to see more of you in our talks. The seminar series will principally be in-person events, with limited online participation capacities. Please register for the talks and we will get back to you by email, including the link to your registered talk.

Title | Data-driven Smart Manufacturing and ESG Opportunities
Speaker | Dr. Chia-Yu Lin, Department of Computer Science & Information Engineering, National Central University.

For the World Economic Forum, contemporary factories should (1) meet market demands and consumer preferences quickly and adjust manufacturing tempo accordingly; (2) accelerate or increase productivity through automation or labour empowerment; (3) connect with upstream and downstream quickly to respond to supply chain risks; (4) satisfy ESG environmental, social and governance demands and comply with policies and regulations in time. How could the use of IoTs, cloud computing, big data, AI and industry 4.0 technologies achieve both operational efficiency and sustainability? This talk will share the research results from my current and past collaborations with industry partners and provide insights into how AI could increase the manufacturing efficiency of the industry and reach sustainability goals.

Time | 14:00 – 16:00 Thursday, November 16, 2023
Venue | Zhi Xing Building 211, National Yang Ming Chiao Tung University -Yangming campus
Organizers | Institute of Science, Technology and Society, NYCU and The University of Sydney School of Architecture, Design and Planning
Co-organizers | Higher Education SPROUT Project; Research Center for Humanities and Social Sciences, NYCU; College of Humanities and Social Sciences, NYCU

Registration Link | https://forms.gle/Tpts9egpbGByo2JT6
Registration Until | November 12, 2023

Venue Information | https://ymmap.ga.nycu.edu.tw/

If you have any questions or suggestions, please feel free to contact the algorithimc decarbonisation project team, email: algodeco2@gmail.com

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