Stefaan Verhulst
Blog Post by Jason Farra: “When it came to gathering input for their new Environmental Master Plan, the Town of Okotoks, AB decided to try something different. Rather than using more traditional methods of consulting residents, they turned to a Canadian civic tech company called Ethelo.
Ethelo’s online software “enables groups to evaluate scenarios, apply constraints, prioritize options and come up with decisions that will get broad support from the group,” says John Richardson, the company’s CEO and founder.
Okotoks gathered over 350 responses, with residents able to compare and evaluate different solutions for a variety of environmental issues, including what kind of transportation and renewable energy options they wanted to see in their town.
“Ethelo offered a different opportunity in terms of allowing a conversation to happen online,” Marni Hutchison, Communications Specialist with the Town of Okotoks, said in a case study of the project. “We can see the general consensus as it’s forming and participants have more opportunities to see different perspectives.”
John sees this as part of a broader shift in how governments and other organizations are approaching stakeholder engagement, particularly with groups like IAP2 working to improve engagement practices by training practitioners.
Rather than simply consulting, then informing residents about decisions, civic tech startups like Ethelo allow governments to involve residents more actively in the actual decision-making process
Blog post by Andrew Burgess: “S
Conceived in 2017, shortly after Finland’s A.I. strategy was announced, the government wants to rebuild the country’s economy around the high-end opportunities of artificial intelligence, and has launched a national programto train 1 percent of the population — that’s 55,000 people — in the basics of A.I. “We’ll never have so much money that we will be the leader of artificial intelligence,” said economic minister Mika Lintilä at the launch. “But how we use it — that’s something different.”
Artificial intelligence can have many positive applications, from being trained to identify cancerous cells in biopsy screenings, predict weather patterns that can help farmers increase their crop yields, and improve traffic efficiency.
But some believe that A.I. expertise is currently too concentrated in the hands of just a few companies with opaque business models, meaning resources are being diverted away from projects that could be more socially, rather than commercially, beneficial. Finland’s approach of making A.I. accessible and understandable to its citizens is part of a broader movement of people who want to democratize the technology, putting utility and opportunity ahead of profit.
This shift toward “democratic A.I.” has three main principles: that all society will be impacted by A.I. and therefore its creators have a responsibility to build open, fair, and explainable A.I. services; that A.I. should be used for social benefit and not just for private profit; and that because A.I. learns from vast quantities of data, the citizens who create that data — about their shopping habits, health records, or transport needs — have a right to say and understand how it is used.
A growing movement across industry and academia believes that A.I. needs to be treated like any other “public awareness” program — just like the scheme rolled out in Finland
Paper by Dennis Hummel and Alexander Maedche: “Changes in the choice architecture, so-called nudges, have been employed in a variety of contexts to alter people’s behavior. Although nudging has gained
Paper by Elizabeth Ford et al in Learning Health Systems: “The last six years have seen sustained investment in health data science in the UK and beyond, which should result in a data science community that is inclusive of all stakeholders, working together to use data to benefit society through the improvement of public health and wellbeing.
However, opportunities made possible through the innovative use of data are still not being fully realised, resulting in research inefficiencies and avoidable health harms. In this paper we identify the most important barriers to achieving higher productivity in health data science. We then draw on previous research, domain expertise, and theory, to outline how to go about overcoming these barriers, applying our core values of inclusivity and transparency.
We believe a step-change can be achieved through meaningful stakeholder involvement at every stage of research planning, design and execution; team-based data science; as well as harnessing novel and secure data technologies. Applying these values to health data science will safeguard a social license for health data research, and ensure transparent and secure data usage for public benefit
Our goal in this paper is to bring these regulatory frameworks to the attention of the data management
Paper by Kathleen Elliott Vinson and Samantha A. Moppett: “…While individuals have the constitutional right to legal assistance in criminal cases, the same does not hold true for civil matters. Low-income Americans are unable to gain access to meaningful help for basic legal needs. Although legal aid organizations exist to help low-income Americans who cannot afford legal representation, the resources available are insufficient to meet current civil legal needs. Studies show more than 80 percent of the legal needs of low-income Americans go unaddressed every year.
This article examines how law students, law schools, the legal profession, legal services’ agencies, and low-income individuals who need assistance, all have a shared interest—access to justice—and can work together to reach the elusive goal in the Pledge of Allegiance of “justice for all.” It illustrates how their collaborative leveraging of technology in innovative ways like digital pro bono services, is one way to provide access to justice. It discusses ABA Free Legal Answers Online, the program that the ABA pioneered to help confront the justice gap in the United States. The program provides a “virtual legal advice clinic” where attorneys answer civil legal questions that low-income residents post on free, secure, and confidential state-specific websites. The article provides a helpful resource of how law schools can leverage this technology to increase access to justice for low-income communities while providing pro bono opportunities for attorneys and students in their state…(More)”.
BBVA API Market: “How do town-planning decisions affect a city’s routines? How can data help assess and make decisions? The granularity and detailed information offered by PayStats allowed Madrid’s city council to draw a more accurate map of consumer behavior and gain an objective measurement of the impact of the traffic restriction measures on commercial activity.
In this case, 20 million aggregate and anonymized transactions with BBVA cards and any other card at BBVA POS terminals were analyzed to study the effect of the changes made by Madrid’s city council to road access to the city center.
The BBVA PayStats API is targeted at all kinds of organizations including the public sector, as in this case. Madrid’s city council used it to find out how restricting car access to Madrid Central impacted Christmas shopping. From information gathered between December 1
According to the report drawn up by council experts, 5.984 billion euros were spent across the city. The sample shows a 3.3% increase in spending in Madrid when compared to the same time the previous year; this goes up to 9.5% in Gran Vía and reaches 8.6% in the central area….(More)”.
Article by Eduardo Alejandro Martínez Ceseña, Joseph Mutale, Mathaios Panteli, and Pierluigi Mancarella in The Conversation: “Access to reliable and affordable electricity brings many benefits. It supports the growth of small businesses, allows students to study at night and protects health by offering an alternative cooking fuel to coal or wood.
Great efforts have been made to increase electrification in Africa, but rates remain low. In sub-Saharan Africa only 42% of urban areas have access to electricity, just 22% in rural areas.
This is mainly because there’s not enough sustained investment in electricity infrastructure, many systems can’t reliably support energy consumption or the price of electricity is too high.
Innovation is often seen as the way forward. For instance, cheaper and cleaner technologies, like solar storage systems deployed through mini grids, can offer a more affordable and reliable option. But, on their own, these solutions aren’t enough.
To design the best systems, planners must know where on- or off-grid systems should be placed, how big they need to be and what type of energy should be used for the most effective impact.
The problem is reliable data – like village size and energy demand – needed for rural energy planning is scarce or non-existent. Some can be estimated from records of human activities – like farming or access to schools and hospitals – which can show energy needs. But many developing countries have to rely on human activity data from incomplete and poorly maintained national census. This leads to inefficient planning.
In our research we found that data from mobile phones offer a solution. They provide a new source of information about what people are doing and where they’re located.
In sub-Saharan Africa, there are more people with mobile phones than access to electricity, as people are willing to commute to get a signal and/or charge their phones.
This means that there’s an abundance of data – that’s constantly updated and available even in areas that haven’t been electrified – that could be used to
We were able to use mobile data to develop a countrywide electrification strategy for Senegal. Although Senegal has one of the highest access to electricity rates in sub-Saharan Africa, just 38% of people in rural areas have access.
By using mobile data we were able to identify the approximate size of rural villages and access to education and health facilities. This information was then used to size and cost different electrification options and select the most economic one for each zone – whether villages should be connected to the grids, or where off-grid systems – like solar battery systems – were a better option.
To collect the data we randomly selected mobile phone data from 450,000 users from Senegal’s main
The paper further explains how data trusts might be used as in the governance of AI, and investigates the barriers which Singapore’s data protection law presents to the use of data trusts and how those barriers might be overcome. Its conclusion is that a mixed contractual/corporate model, with an element of regulatory oversight and audit to ensure consumer confidence that data is being used appropriately, could produce a useful AI governance tool…(More)”.
Ana Palacio at Project Syndicate: “These are difficult days for liberal democracy. But of all the threats that have arisen in recent years – populism, nationalism, illiberalism – one stands out as a key enabler of the rest: the proliferation and weaponization of disinformation.
The threat is not a new one. Governments, lobby groups, and other interests have long relied on disinformation as a tool of manipulation and control.
What is new is the ease with which disinformation can be produced and disseminated. Advances in technology allow for the increasingly seamless manipulation or fabrication of video and audio, while the pervasiveness of social media enables false information to be rapidly amplified among receptive audiences.
Beyond introducing falsehoods into public discourse, the spread of disinformation can undermine the possibility of discourse itself, by calling into question actual facts. This “truth decay” – apparent in the widespread rejection of experts and expertise – undermines the functioning of democratic systems, which depend on the electorate’s ability to make informed decisions about, say, climate policy or the prevention of communicable diseases.
The West has been slow to recognize the scale of this threat. It was only after the 2016 Brexit referendum and US presidential election that the power of disinformation to reshape politics began to attract attention. That recognition was reinforced in 2017, during the French presidential election and the illegal referendum on Catalan independence.
Now, systematic efforts to fight disinformation are underway. So far, the focus has been on tactical approaches, targeting the “supply side” of the problem: unmasking Russia-linked fake accounts, blocking disreputable sources, and adjusting algorithms to limit public exposure to false and misleading news. Europe has led the way in developing policy responses, such as soft guidelines for industry, national legislation, and strategic communications.
Such tactical actions – which can be implemented relatively easily and bring tangible results quickly – are a good start. But they are not nearly enough.
To some extent, Europe seems to recognize this. Early this month, the Atlantic Council organized #DisinfoWeek Europe, a series of strategic dialogues focused on the global challenge of disinformation. And more ambitious plans are already in the works, including French President Emmanuel Macron’s recently proposed European Agency for the Protection of Democracies, which would counter hostile manipulation campaigns.
But, as is so often the case in Europe, the gap between word and deed is vast, and it remains to be seen how all of this will be implemented and scaled up. In any case, even if such initiatives