Our summer reading list: dive into the world of open data and more!
Discover eight insightful readings on open data, analytics, AI and more for your summer holidays
Whether you are traveling the world or enjoying the comforts of home, the summer holidays provide the perfect opportunity to finally finish that book and explore new stories. Are you looking for engaging reads? Data.europa.eu has compiled a list of eight insightful readings, including articles and books, to help you discover unique stories related to open data, analytics, AI and more!
- Open data and AI: A symbiotic relationship for progress: Data is a critical component of AI systems. This data story highlights the connection between open data and AI performance with real-life use cases.
- City of Salinas drives transparency and collaboration through open data: To promote collaboration and become truly data-driven, the City of Salinas aims to make data a central part of its operations. Read their success story published by Open Data Soft to learn how they ensure up-to-date, relevant information is shared, contributing to increased transparency and more effectiveness.
- High-value datasets – tourism in the EU: Tourism is a vital part of the EU’s economy representing nearly 10% of the EU’s GDP and accounting for 23 million jobs in 2019. Data can provide essential insights, which you will learn more about in this data story.
- Driving change with smart city mobility data sharing: Open data can support the physical infrastructure of cities to optimise transportation. Read this Open Data Soft blog to find out how data sharing increases transparency, collaboration and efficiency, enabling smart city mobility.
- AI Is Thirsty: In this Medium article, technology and science journalist Clive Thompson delves into the environmental impact of AI. He examines the water used to cool the large data centers required for training and operating the machines.
- How Analytics Can Boost Competitiveness in Sports: Data and analytics can be used to increase competitiveness in sports, for example by spotting player injuries in real time. Read about this and the related security and privacy issues in the Knowledge at Wharton blog.
- From Human to Data to Dataset: Mapping the traceability of Human Subjects in Computer Vision Datasets: Humans are seen as a data resource which can be converted into datasets and therefore impact the human subjects involved. Read this Medium blog summarizing the challenges faced by human data subjects in computer vision datasets.
- High-value datasets – greenhouse gas emissions in the EU: Learn how datasets on earth observation can support the EU Green Deal, for example by tracking greenhouse gas emissions.
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