Curated findings and actionable knowledge at the intersection of technology, innovation, and governance
Paper by Malkiat Thiarai, Sarunkorn Chotvijit
The paper documents the process involved in identifying, accessing and using data held in Birmingham City Council’s social care system for collaborative research with a partner
The findings will include approaches to understanding the data, its structure and accessibility tasks involved in addressing ethical and legal obligations and requirements of the ethical and governance processes….(More)”.
Report by Giulio Coppi and Larissa Fast at ODI (Overseas Development Institute): “Blockchain and the wider category of distributed ledger technologies (DLTs) promise a more transparent, accountable, efficient and secure way of exchanging
Building on these claims, proponents suggest DLTs can address common problems of non-profit organisations and NGOs, such as transparency, efficiency, scale and sustainability. Current humanitarian uses of DLT, illustrated in this report, include financial inclusion, land titling, remittances, improving the transparency of donations, reducing fraud, tracking support to beneficiaries from multiple sources, transforming governance systems, micro-insurance, cross-border transfers, cash programming, grant management and organisational governance.
This report, commissioned by the Global Alliance for Humanitarian Innovation (GAHI), examines current DLT uses by the humanitarian sector to outline lessons for the project, policy and system levels. It offers recommendations to address the challenges that must be overcome before DLTs can be
Ron S. Jarmin at the Journal of Economic Perspectives: “The system of federal economic statistics developed in the 20th century has served the country well, but the current methods for collecting and disseminating these data products are unsustainable. These statistics are heavily reliant on sample surveys. Recently, however, response rates for both household and business surveys have declined, increasing costs and threatening quality. Existing statistical measures, many developed decades ago, may also miss important aspects of our rapidly evolving economy; moreover, they may not be sufficiently accurate, timely, or granular to meet the increasingly complex needs of data users. Meanwhile, the rapid proliferation of online data and more powerful computation make privacy and confidentiality protections more challenging. There is broad agreement on the need to transform government statistical agencies from the
The answer is a dissatisfying “maybe.” Without a convincing story of saving lives, the U.N. is open to attacks by the likes of White House national security adviser John Bolton, who call peacekeeping “unproductive” and push for further cuts to the organization’s already diminished budget. But peacekeeping can—and must—make a case for its own utility, using data already at its fingertips. …(More)”.
Report by Sara Bannerman and Angela Orasch: “This report presents the findings of a national survey of Canadians about smart-city privacy conducted in October and November 2018. Our research questions were: How concerned are Canadians about smart-city privacy? How do these concerns intersect with age, gender, ethnicity, and location? Moreover, what are the expectations of Canadians with regards to their ability to control, use, or opt-out of data collection in
What is a smart city?
A ‘smart city’ adopts digital and data-driven technologies in the planning, management
In 2017, a framework agreement was established between Waterfront Toronto, the organization charged with revitalizing Toronto’s waterfront, and Sidewalk Labs,
Kim Hart at Axios: “A full 81% of consumers say that in the past year they’ve become more concerned with how companies are using their data, and 87% say they’ve come to believe companies that manage personal data should be more regulated, according to a survey out Monday by IBM’s Institute for Business Value.
Yes, but: They aren’t totally convinced they should care about how their data is being used, and many aren’t taking meaningful action after privacy breaches, according to the survey. Despite increasing data risks, 71% say it’s worth sacrificing privacy given the benefits of technology.Show less
By the numbers:
The other side: Despite increasing awareness of privacy and security breaches, most consumers aren’t taking consequential action to protect their personal data.
Blog Post by Ivan Ivanitskiy: “People are resorting to blockchain for all kinds of reasons these days. Ever since I started doing smart contract security audits in mid-2017, I’ve seen it all. A special category of cases is ‘blockchain use’ that seems logical and beneficial, but actually contains a problem that then spreads from one startup to another. I am going to give some examples of such problems and ineffective solutions so that you (developer/customer/investor) know what to do when somebody offers you to use blockchain this way.
1. Supply chain management
Let’s say you ordered some goods, and a carrier guarantees to maintain certain transportation conditions, such as keeping your goods cold. A proposed solution is to install a sensor in a truck that will monitor fridge temperature and regularly transmit the data to the blockchain. This way, you can make sure that the promised conditions are met along the entire route.
The problem here is not blockchain, but rather sensor, related. Being part of the physical world, the sensor is easy to fool. For example, a malicious carrier might only cool down a small fridge inside the truck in which they put the sensor, while leaving the goods in the non-refrigerated section of the truck to save costs.
I would describe this problem as:
Blockchain is not Internet of Things (IOT).
We will return to this statement a few more times. Even though blockchain does not allow for modification of data, it cannot ensure such data is correct.The only exception is on-chain transactions, when the system does not need the real world, with all necessary information already being within the blockchain, thus allowing the system to verify data (e.g. that an address has enough funds to proceed with a transaction).
Applications that submit information to a blockchain from the outside are called “oracles” (see article ‘Oracles, or Why Smart Contracts Haven’t Changed the World Yet?’ by Alexander Drygin). Until a solution to the problem with oracles is found, any attempt at blockchain-based supply chain management, like the case above, is as pointless as trying to design a plane without first developing a reliable engine.
I borrowed the fridge case from the article ‘Do you Need Blockchain’ by Karl Wüst and Arthur Gervais. I highly recommend reading this article and paying particular attention to the following diagram:
2. Object authenticity guarantee
Even though this case is similar to the previous one, I would like to single it out as it is presented in a different wrapper.
Say we make unique and expensive goods, such as watches, wines, or cars. We want our customers to be absolutely sure they are buying something made by us, so we link our wine bottle to a token supported by blockchain and put a QR code on it. Now, every step of the way (from manufacturer, to carrier, to store, to customer) is confirmed by a separate blockchain transaction and the customer can track their bottle online.
However, this system is vulnerable to a very simple threat: a dishonest seller can make a copy of a real bottle with a token, fill it with wine of lower quality, and either steal your expensive wine or sell it to someone who does not care about tokens. Why is it so easy? That’s right! Because…(More)”
Book by Amy Webb:”…A call-to-arms about the broken nature of artificial intelligence, and the powerful corporations that are turning the human-machine relationship on its head. We like to think that we are in control of the future of “artificial” intelligence. The reality, though, is that we–the everyday people whose data powers AI–aren’t actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can’t see and have no input into–one largely free from regulation or oversight. The big nine corporations–Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM
In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI–the people working on the system, their motivations, the technology itself–is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don’t share our motivations, desires, or hopes for the future of humanity.
Much more than a passionate, human-centered call-to-arms, this book delivers a strategy for changing
About: “On a typical day in the United States, police officers make more than 50,000 traffic stops. Our team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Our goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.
Currently, a comprehensive, national repository detailing interactions between police and the public doesn’t exist. That’s why the Stanford Open Policing Project is collecting and standardizing data on vehicle and pedestrian stops from law enforcement departments across the country — and we’re making that information freely available. We’ve already gathered 130 million records from 31 state police agencies and have begun collecting data on stops from law enforcement agencies in major cities, as well.
We, the Stanford Open Policing Project, are an interdisciplinary team of researchers and journalists at Stanford University. We are committed to combining the academic rigor of statistical analysis with the explanatory power of data journalism….(More)”.
Paper by Ken Steif and Sydney Goldstein: “As the number of government algorithms