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A Smart City Is an Accessible City

Timi Hamraie at The Atlantic: “A new breed of accessibility apps can make life easier for people with disabilities. They can also make it harder…. Digital-accessibility maps are proliferating rapidly, thanks in part to the release of apps such as AXS Map, Access Earth, AccessNow, and Wheelmap. In the decade that I have been studying accessibility, I have come across […]

People data: The risks, rewards and opportunities

Andrea Fouche in Silicon Republic: “The people data revolution has finally arrived. 69pc of organisations are building integrated systems to analyse worker-related data. Leading companies are monitoring people data from many sources, including social media (17pc), surveys (76pc), and integrated data from HR and financial systems (87pc). Creative organisations are mining this rich variety of sources to create […]

Data Craft: The Manipulation of Social Media Metadata

Report by Amelia Acker: “…analyzes how bad actors manipulate metadata to create effective disinformation campaigns and provides tips for researchers and technology companies trying to spot this “data craft.” “Data craft” is the term Acker coins for all those “practices that create, rely on, or even play with the proliferation of data on social media by engaging […]

Beyond democracy: could seasteads and cryptocurrencies replace the nation state?

Patri Friedman in The Spectator: “For the past 20 years I’ve been working to enable start-up societies: permanent autonomous zones on land or at sea intended to accelerate economic development and to serve as laboratories for voluntary political experiments. For just as long (in fact since I first read The Sovereign Individual), I’ve been interested in […]

Machine-learned epidemiology: real-time detection of foodborne illness at scale

Paper by Ashish Jha et al: “Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. The objective of this study is to test the efficacy of a machine-learned model of foodborne illness detection in a real-world setting. To this end, we built FINDER, a […]

Barriers to Using Government Data: Extended Analysis of the U.S. Commission on Evidence-Based Policymaking’s Survey of Federal Agencies and Offices

Report from the Bipartisan Policy Center: “Policymakers face many demands from constituents, budgetary processes, and their commitment to providing good services for the American people. This last concern is made easier when policymakers have access to reliable information to guide their decisions. But access to data and the ability to turn those data into evidence […]

An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Article by Luciano Floridi et al: “…reports the findings of AI4People, a year-long initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations – to assess, to develop, to incentivise, and to support good AI – which in some cases may be undertaken directly by national or supranational policy makers, while in […]

Neighbourhood Data: Exploring the Role of Open Data in Locally Devolved Policymaking Processes

Paper by Ian G. Johnson et al: “There is a growing public, political, and academic discourse around the idea that data has the potential to empower citizens. In particular, evidence-based policymaking is at the centre of national and regional planning processes. At the same time a shift towards Localism in planning means that while citizens […]

A Behavioral Economics Approach to Digitalisation

Paper by Dirk Beerbaum and Julia M. Puaschunder: “A growing body of academic research in the field of behavioural economics, political science and psychology demonstrate how an invisible hand can nudge people’s decisions towards a preferred option. Contrary to the assumptions of the neoclassical economics, supporters of nudging argue that people have problems coping with a complex world, because of […]

Big data analytics to identify illegal construction waste dumping: A Hong Kong study

WeishengLu at Resources, Conservation and Recycling: “Illegal dumping, referring to the intentional and criminal abandonment of waste in unauthorized areas, has long plagued governments and environmental agencies worldwide. Despite the tremendous resources spent to combat it, the surreptitious nature of illegal dumping indicates the extreme difficulty in its identification. In 2006, the Construction Waste Disposal Charging […]