In this episode, host Chris Adams delves into the world of sustainability with
two PhD researchers, Silke Kaiser and Chiara Fusar Bassini, discussing their
use of data science and machine learning to tackle some of today’s most
pressing environmental challenges. Silke shares insights into her research on
predicting cycling traffic in cities to better inform urban planning and
promote sustainable transport, while Chiara discusses her work on analyzing
European energy data to support the renewable energy transition. Together,
they explore the intersection of technology, data, and policy, highlighting
the importance of data-driven decision-making in achieving sustainability
goals.
Learn more about our people:
* Chris Adams: [LinkedIn]([ Ссылка ]) | [GitHub]([ Ссылка ]) | [Website]([ Ссылка ])
* Silke Kaiser: [LinkedIn]([ Ссылка ]) | [Website]([ Ссылка ])
* Chiara Fusar Bassini: [LinkedIn]([ Ссылка ])
Find out more about the GSF:
* [The Green Software Foundation Website]([ Ссылка ])
* Sign up to the [Green Software Foundation Newsletter]([ Ссылка ])
News:
* [From counting stations to to city wide estimates: data driven bicycle volume extrapolation]([ Ссылка ]) | Silke Kaiser [09:46]
* [Pedalling Towards a Greener Future: The Impact of Cycling and Active Transport on Climate Change and Public Health - Catalyse]([ Ссылка ]) [12:46]
* [Chapter 10: Transport]([ Ссылка ]) | IPCC [14:10]
* [Estimating Coal Power Plant Operation From Satellite Images with Computer Vision]([ Ссылка ]) [24:11]
* [Does the EU AI Act really call for tracking inference as well as training in AI models?]([ Ссылка ]) [38:27]
* [What is the methodology used to measure the carbon footprint of training Llama 3.1?]([ Ссылка ]) [41:12]
* [Climate policies that achieved major emission reductions: Global evidence from two decades | Science]([ Ссылка ]) [44:27]
* [Microsoft employees spent years fighting the tech giant's oil ties. Now, they’re speaking out. | Grist]([ Ссылка ]) [46:51]
* [A review of the ENTSO-E Transparency Platform]([ Ссылка ])
Resources:
* [How does AI and ML Impact Climate Change?]([ Ссылка ]) | EV Ep 5 [05:38]
* [French Revolution: Cyclists Now Outnumber Motorists In Paris]([ Ссылка ]) [07:25]
* [Berlin’s Efforts to Reduce Driving Stalled by German Car Culture]([ Ссылка ]) [07:42]
* [Emissions of Carbon Dioxide in the Transportation Sector | Congressional Budget Office]([ Ссылка ]) [16:47]
* [Electricity Maps]([ Ссылка ]) [21:59]
* [Machine Learning for Sustainable Energy Systems | Annual Reviews]([ Ссылка ]) [30:41]
* [CodeCarbon]([ Ссылка ]) [40:49]
* [Light bulbs have energy ratings — so why can’t AI chatbots?]([ Ссылка ]) [42:16]
* [The Chronic Potentialitis of Digital Enablement]([ Ссылка ]) | Vlad Coraoma [46:10]
* [Blackout (Elsberg novel) - Wikipedia]([ Ссылка ]_\(Elsberg_novel\))
* [International Energy Agency - an overview | ScienceDirect Topics]([ Ссылка ])
* [Taxation - an overview | ScienceDirect Topics]([ Ссылка ])
* [How fast is Germany cutting its greenhouse gas emissions? – DW – 07/10/2023]([ Ссылка ])
* [Tack
