New Data Browser on education, science, and culture

Curated on Posted on by Stefaan Verhulst

UNESCO: “The UIS is excited to introduce the new UIS Data Browser, which brings together all our data on education, science, and culture, making it a convenient resource for everyone, from policymakers to researchers.

With a refreshed interface, users can easily view and download customized data for their needs. The new browser also offers better tools for exploring metadata and documentation. Plus, the browser has great visualization features. You can filter indicators by country or region and create line or bar charts to see trends over time. It’s easy to share your findings on social media, too!

For those who like to dive deeper, a web-based UIS Data Application Programming Interface (API) allows for more technical data extraction for use in reports and applications. The UIS Data API provides access to all education, science, and culture data available on the UIS data browser through HTTP requests. It allows for the regular retrieval of data for custom analysis, visualizations, and applications…(More)”.

Trust in official statistics remains high but there’s still work to do

Curated on Posted on by Stefaan Verhulst

Article by Ian Diamond (UK): “..I’m excited about the potential of new data sources, and I want everyone in the UK to have the skills to understand and use the stats they allow us to create. With this in mind, we’re launching a whole host of new projects to bring our stats to the people:

How to videos

To benefit from stats, and be confident that they are reliable, we need to understand more about the data they have been derived from and how to read and use them.

Our new set of video guides are a great place to start, covering topics such as why data matters to how the ONS de-identifies them and where we get them from.

They are all available to watch on our YouTube channel.

Playground survey

During the 2023/2024 school year, we teamed up with the BBC and the Micro:bit Foundation to give children in primary schools the opportunity to take part in a nationwide playground survey.

The BBC Micro:bit Playground Survey is a wonderful way for children to learn data skills at an early age, getting to grips with data collection and analysis in a way that is relevant to their everyday lives, in a familiar and fun setting.

If children become data-literate now, they will be well prepared to navigate and take advantage of the huge amounts of data that will no doubt play an important role in their adult lives.

Keep an eye out for the results in October.

Navigating numbers – the ONS data education programme

We’ve also been busy developing a data education programme for students in further education or sixth form.

Navigating numbers: how data are used to create statistics includes a series of five classroom toolkits, exploring topics such as gender pay gaps, inflation, and health.

Created with the support of the Association of Colleges (AoC), this learning resource is free for teachers to use and available for download on the ONS website.

The ONS’s educational webinar series: Bringing data to life

If you want to learn more about measuring the cost of living or our nation’s health, then our new webinar series has you covered. These and other topics will be brought to life in this new series of online events, launching in September 2024…(More)”

Advancing Data Equity: An Action-Oriented Framework

Curated on Posted on by Stefaan Verhulst

WEF Report: “Automated decision-making systems based on algorithms and data are increasingly common today, with profound implications for individuals, communities and society. More than ever before, data equity is a shared responsibility that requires collective action to create data practices and systems that promote fair and just outcomes for all.

This paper, produced by members of the Global Future Council on Data Equity, proposes a data equity definition and framework for inquiry that spurs ongoing dialogue and continuous action towards implementing data equity in organizations. This framework serves as a dynamic tool for stakeholders committed to operationalizing data equity, across various sectors and regions, given the rapidly evolving data and technology landscapes…(More)”.

Augmenting the availability of historical GDP per capita estimates through machine learning

Curated on Posted on by Stefaan Verhulst

Paper by Philipp Koch, Viktor Stojkoski, and César A. Hidalgo: “Can we use data on the biographies of historical figures to estimate the GDP per capita of countries and regions? Here, we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past seven centuries starting from data on the places of birth, death, and occupations of hundreds of thousands of historical figures. We build an elastic net regression model to perform feature selection and generate out-of-sample estimates that explain 90% of the variance in known historical income levels. We use this model to generate GDP per capita estimates for countries, regions, and time periods for which these data are not available and externally validate our estimates by comparing them with four proxies of economic output: urbanization rates in the past 500 y, body height in the 18th century, well-being in 1850, and church building activity in the 14th and 15th century. Additionally, we show our estimates reproduce the well-known reversal of fortune between southwestern and northwestern Europe between 1300 and 1800 and find this is largely driven by countries and regions engaged in Atlantic trade. These findings validate the use of fine-grained biographical data as a method to augment historical GDP per capita estimates. We publish our estimates with CI together with all collected source data in a comprehensive dataset…(More)”.

Taming Silicon Valley

Curated on Posted on by Stefaan Verhulst

Book by Gary Marcus: “On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed.

Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman’s Steal This Book and Thomas Paine’s Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read…(More)”.

G20 Compendium on Data Access and Sharing Across the Public Sector and with the Private Sector for Public Interest

Curated on Posted on by Stefaan Verhulst

OECD Report: “…presents practical examples from G20 members on data access and sharing, both across the public sector and between the public and private sectors in the public interest. The report supports G20 discussions on common opportunities, enablers and challenges to strengthen data access and sharing in the public sector, as well countries’ efforts and priorities in this policy area. It has been prepared by the OECD for the Brazilian G20 Presidency in co-ordination with the Ministry of Management and Innovation in Public Services, to inform the G20 Digital Economy Working Group at its September 2024 meeting…(More)”.

Place identity: a generative AI’s perspective

Curated on Posted on by Stefaan Verhulst

Paper by Kee Moon Jang et al: “Do cities have a collective identity? The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. In this study, we test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images. We asked questions on the place identity of 64 global cities to two generative AI models, ChatGPT and DALL·E2. Furthermore, given the ethical concerns surrounding the trustworthiness of generative AI, we examined whether the results were consistent with real urban settings. In particular, we measured similarity between text and image outputs with Wikipedia data and images searched from Google, respectively, and compared across cases to identify how unique the generated outputs were for each city. Our results indicate that generative models have the potential to capture the salient characteristics of cities that make them distinguishable. This study is among the first attempts to explore the capabilities of generative AI in simulating the built environment in regard to place-specific meanings. It contributes to urban design and geography literature by fostering research opportunities with generative AI and discussing potential limitations for future studies…(More)”.

A Diamond in the Rough: How Energy Consumption Data Can Boost Artificial Intelligence Startups and Accelerate the Green Transition

Curated on Posted on by Stefaan Verhulst

Policy brief by David Osimo and Anna Pizzamiglio: “…explores how the reuse of energy consumption data can foster a dynamic cleantech ecosystem and contribute to achieving the goals of the European Green Deal. Drawing on insights from EDDIE, a decentralised platform that standardises data formats and enhances data management across Europe, the brief outlines five key recommendations for shifting from a focus on data regulation to fostering innovation. These recommendations include: Enhancing User Experience, Nurturing the Cleantech Ecosystem, Strengthening Data Stewardship, Clarifying GDPR Guidelines, Eliminating Barriers to the Single Market…(More)”.

Atlas of Intangibles

Curated on Posted on by Stefaan Verhulst

About: “Atlas of Intangibles is a data experience designed to highlight the rich, interconnected web of sensory information that lies beneath our everyday encounters. Showcasing sensory data collected by me around the city of London through score-based data walks, the digital experience allows viewers to choose specific themes and explore related data as views — journeys, connections, and typologies. Each data point is rich in context, encompassing images and audio recordings…(More)”.

The future of agricultural data-sharing policy in Europe: stakeholder insights on the EU Code of Conduct

Curated on Posted on by Stefaan Verhulst

Paper by Mark Ryan, Can Atik, Kelly Rijswijk, Marc-Jeroen Bogaardt, Eva Maes & Ella Deroo: “n 2018, the EU Code of Conduct of Agricultural Data Sharing by Contractual Agreement (EUCC) was published. This voluntary initiative is considered a basis for rights and responsibilities for data sharing in the agri-food sector, with a specific farmer orientation. While the involved industry associations agreed on its content, there are limited insights into how and to what extent the EUCC has been received and implemented within the sector. In 2024, the Data Act was introduced, a horizontal legal framework that aims to enforce specific legal requirements for data sharing across sectors. Yet, it remains to be seen if it will be the ultimate solution for the agricultural sector, as some significant agricultural data access issues remain. It is thus essential to determine if the EUCC may still play a significant role to address sector-specific issues in line with the horizontal rules of the Data Act. During six workshops across Europe with 89 stakeholders, we identified how the EUCC has been (1) received by stakeholders, (2) implemented, and (3) its future use (particularly in response to the Data Act). Based on the workshop results and continued engagements with researchers and stakeholders, we conclude that the EUCC is still an important document for the agricultural sector but should be updated in response to the content of the Data Act. Hence we propose the following improvements to the EUCC: 1. Provide clear, practical examples for applying the EUCC combined with the Data Act; 2. Generate model contractual terms based on the EUCC provisions; 3. Clarify GDPR-centric concepts like anonymisation and pseudonymisation in the agricultural data-sharing setting; 4. Develop a functional enforcement and implementation framework; and 5. Play a role in increasing interoperability and trust among stakeholders…(More)”