How data-savvy cities can tackle growing ethical considerations


Bloomberg Cities Network: “Technology for collecting, combining, and analyzing data is moving quickly, putting cities in a good position to use data to innovate in how they solve problems. However, it also places a responsibility on them to do so in a manner that does not undermine public trust. 

To help local governments deal with these issues, the London Office of Technology and Innovation, or LOTI, has a set of recommendations for data ethics capabilities in local government. One of those recommendations—for cities that are mature in their work in this area—is to hire a dedicated data ethicist.

LOTI exists to support dozens of local boroughs across London in their collective efforts to tackle big challenges. As part of that mission, LOTI hired Sam Nutt to serve as a data ethicist that local leaders can call on. The move reflected the reality that most local councils don’t have the capacity to have their own data ethicist on staff and it put LOTI in a position to experiment, learn, and share out lessons learned from the approach.

Nutt’s role provides a potential framework other cities looking to hire data ethicists can build on. His position is based on job specifications for data ethicists published by the UK government. He says his work falls into three general areas. First, he helps local councils work through ethical questions surrounding individual data projects. Second, he helps them develop more high-level policies, such as the Borough of Camden’s Data Charter. And third, he provides guidance on how to engage staff, residents, and stakeholders around the implications of using technology, including research on what’s new in the field. 

As an example of the kinds of ethical issues that he consults on, Nutt cites repairs in publicly subsidized housing. Local leaders are interested in using algorithms to help them prioritize use of scarce maintenance resources. But doing so raises questions about what criteria should be used to bump one resident’s needs above another’s. 

“If you prioritize, for example, the likelihood of a resident making a complaint, you may be baking in an existing social inequality, because some communities do not feel as empowered to make complaints as others,” Nutt says. “So it’s thinking through what the ethical considerations might be in terms of choices of data and how you use it, and giving advice to prevent potential biases from creeping in.” 

Nutt acknowledges that most cities are too resource constrained to hire a staff data ethicist. What matters most, he says, is that local governments create mechanisms for ensuring that ethical considerations of their choices with data and technology are considered. “The solution will never be that everyone has to hire a data ethicist,” Nutt says. “The solution is really to build ethics into your default ways of working with data.”

Stefaan Verhulst agrees. “The question for government is: Is ethics a position? A function? Or an institutional responsibility?” says Verhulst, Co-Founder of The GovLab and Director of its Data Program. The key is “to figure out how we institutionalize this in a meaningful way so that we can always check the pulse and get rapid input with regard to the social license for doing certain kinds of things.”

As the data capabilities of local governments grow, it’s also important to empower all individuals working in government to understand ethical considerations within the work they’re doing, and to have clear guidelines and codes of conduct they can follow. LOTI’s data ethics recommendations note that hiring a data ethicist should not be an organization’s first step, in part because “it risks delegating ethics to a single individual when it should be in the domain of anyone using or managing data.”

Training staff is a big part of the equation. “It’s about making the culture of government sensitive to these issues,” Verhulst says, so “that people are aware.”..(More)”.

Public Sector Use of Private Sector Personal Data: Towards Best Practices


Paper by Teresa Scassa: “Governments increasingly turn to the private sector as a source of data for various purposes. In some cases, the data that they seek to use is personal data. The public sector use of private sector personal data raises several important law and public policy concerns. These include the legal authority for such uses; privacy and data protection; ethics; transparency; and human rights. Governments that use private sector personal data without attending to the issues that such use raises may breach existing laws, which in some cases may not be well-adapted to evolving data practices. They also risk undermining public trust.

This paper uses two quite different recent examples from Canada where the use of private sector personal data by public sector actors caused considerable backlash and led to public hearings and complaints to the Privacy Commissioner. The examples are used to tease out the complex and interwoven law and policy issues. In some cases, the examples reveal issues that are particular to the evolving data society and that are not well addressed by current law or practice. The paper identifies key issues and important gaps and makes recommendations to address these. Although the examples discussed are Canadian and depend to some extent on Canadian law and institutions, the practices at issue are ones that are increasingly used around the world, and many of the issues raised are broadly relevant…(More)”.

Digital divides are lower in Smart Cities


Paper by Andrea Caragliu and Chiara F. Del Bo: “Ever since the emergence of digital technologies in the early 1990s, the literature has discussed the potential pitfalls of an uneven distribution of e-skills under the umbrella of the digital divide. To provide a definition of the concept, “Lloyd Morrisett coined the term digital divide to mean “a discrepancy in access to technology resources between socioeconomic groups” (Robyler and Doering, 2014, p. 27)

Despite digital divide being high on the policy agenda, statistics suggest the persisting relevance of this issue. For instance, focusing on Europe, according to EUROSTAT statistics, in 2021 about 90 per cent of people living in Zeeland, a NUTS2 region in the Netherlands, had ordered at least once in their life goods or services over the internet for private use, against a minimum in the EU27 of 15 per cent (in the region of Yugoiztochen, in Bulgaria). In the same year, while basically all (99 per cent) interviewees in the NUTS2 region of Northern and Western Ireland declared using the internet at least once a week, the same statistic drops to two thirds of the sample in the Bulgarian region of Severozapaden. While over time these territorial divides are converging, they can still significantly affect the potential positive impact of the diffusion of digital technologies.

Over the past three years, the digital divide has been made dramatically apparent by the COVID-19 pandemic outbreak. When, during the first waves of full lockdowns enacted in most Countries, tertiary and schooling activities were moved online, many economic outcomes showed significant worsening. Among these, learning outcomes in pupils and service sectors’ productivity were particularly affected.

A simultaneous development in the scientific literature has discussed the attractive features of planning and managing cities ‘smartly’. Smart Cities have been initially identified as urban areas with a tendency to invest and deploy ICTs. More recently, this notion also started to encompass the context characteristics that make a city capable of reaping the benefits of ICTs – social and human capital, soft and hard institutions.

While mounting empirical evidence suggests a superior economic performance of Cities ticking all these boxes, the Smart City movement did not come without critiques. The debate on urban smartness as an instrument for planning and managing more efficient cities has been recently positing that Smart Cities could be raising inequalities. This effect would be due to the role of driver of smart urban transformations played by multinational corporations, who, in a dystopic view, would influence local policymakers’ agendas.

Given these issues, and our own research on Smart Cities, we started asking ourselves whether the risks of increasing inequalities associated with the Smart City model were substantiated. To this end, we focused on empirically verifying whether cities moving forward along the smart city model were facing increases in income and digital inequalities. We answered the first question in Caragliu and Del Bo (2022), and found compelling evidence that smart city characteristics actually decrease income inequalities…(More)”.

What types of health evidence persuade actors in a complex policy system?


Article by Geoff Bates, Sarah Ayres, Andrew Barnfield, and Charles Larkin: “Good quality urban environments can help to prevent non-communicable diseases such as cardiovascular diseases, mental health conditions and diabetes that account for three quarters of deaths globally (World Health Organisation, 2022). More commonly however, poor quality living conditions contribute to poor health and widening inequalities (Adlakha & John, 2022). Consequently, many public health advocates hope to convince and bring together the stakeholders who shape urban development to help create healthier places.

Evidence is one tool that can be used to convince these stakeholders from outside the health sector to think more about health outcomes. Most of the literature on the use of evidence in policy environments has focused on the public sector, such as politicians and civil servants (e.g., Crow & Jones, 2018). However, urban development decision-making processes involve many stakeholders across sectors with different needs and agendas (Black et al., 2021). While government sets policy and regulatory frameworks, private sector organisations such as property developers and investors drive urban development and strongly influence policy agendas.

In our article recently published in Policy & PoliticsWhat types of evidence persuade actors in a complex policy system?, we explore the use of evidence to influence different groups across the urban development system to think more about health outcomes in their decisions…

The key findings of the research were that:

  1. Evidence-based narratives have wide appeal. Narratives based on real-world and lived experiences help stakeholders to form an emotional connection with evidence and are effective for drawing attention to health problems. Powerful outcomes such as child health and mortality data are particularly persuasive. This builds on literature promoting the use of storytelling approaches for public sector actors by demonstrating its applicability within the private and third sectors….(More)”

Data for the City of Tomorrow: Developing the Capabilities and Capacity to Guide Better Urban Futures


WEF Report: “This report is a comprehensive manual for municipal governments and their partners, city authorities, and advocates and agents of change. It invites them to address vexing and seemingly intractable problems of urban governance and to imagine future scenarios. There is little agreement on how different types of cities should aggregate, analyse and apply data to their immediate issues and strategic challenges. Yet the potential of data to help navigate cities through the unprecedented urban, climate and digital transitions ahead is very high and likely underestimated. This report offers a look at what data exists, and how cities can take the best steps to make the most of it. It provides a route into the urban data ecosystem and an overview of some of the ways to develop data policies and capabilities fit for the needs of the many different kinds of city contexts worldwide…(More)”.

Data collaborations at a local scale: Lessons learnt in Rennes (2010–2021)


Paper by Simon Chignard and Marion Glatron: “Data sharing is a requisite for developing data-driven innovation and collaboration at the local scale. This paper aims to identify key lessons and recommendations for building trustworthy data governance at the local scale, including the public and private sectors. Our research is based on the experience gained in Rennes Metropole since 2010 and focuses on two thematic use cases: culture and energy. For each one, we analyzed how the power relations between actors and the local public authority shape the modalities of data sharing and exploitation. The paper will elaborate on challenges and opportunities at the local level, in perspective with the national and European frameworks…(More)”.

Using data to address equity challenges in local government


Report by the Mastercard Center for Inclusive Growth (CFIG): “…This report describes the Data for Equity cohort learning journey, case studies of how participating cities engaged with and learned from the program, and key takeaways about the potential for data to inform effective and innovative equitable development efforts. Alongside data tools, participants explored the value of qualitative data, the critical link between racial equity and economic inclusion, and how federal funds can advance ongoing equity initiatives. 

Cohort members gained and shared insights throughout their learning journey, including:

  • Resources that provided guidance on how to target funding were helpful to ensuring the viability of cities’ equity and economic development initiatives.
  • Tools and resources that helped practitioners move from diagnosing challenges to identifying solutions were especially valuable.
  • Peer-to-peer learning is an essential resource for leaders and staff working in equity roles, which are often structured differently than other city offices.
  • More data tools that explicitly measure racial equity indicators are needed…(More)”.

How data helped Mexico City reduce high-impact crime by more than 50%


Article by Alfredo Molina Ledesma: “When Claudia Sheimbaum Pardo became Mayor of Mexico City 2018, she wanted a new approach to tackling the city’s most pressing problems. Crime was at the very top of the agenda – only 7% of the city’s inhabitants considered it a safe place. New policies were needed to turn this around.

Data became a central part of the city’s new strategy. The Digital Agency for Public Innovation was created in 2019 – tasked with using data to help transform the city. To put this into action, the city administration immediately implemented an open data policy and launched their official data platform, Portal de Datos Abiertos. The policy and platform aimed to make data that Mexico City collects accessible to anyone: municipal agencies, businesses, academics, and ordinary people.

“The main objective of the open data strategy of Mexico City is to enable more people to make use of the data generated by the government in a simple and interactive manner,” said Jose Merino, Head of the Digital Agency for Public Innovation. “In other words, what we aim for is to democratize the access and use of information.” To achieve this goal a new tool for interactive data visualization called Sistema Ajolote was developed in open source and integrated into the Open Data Portal…

Information that had never been made public before, such as street-level crime from the Attorney General’s Office, is now accessible to everyone. Academics, businesses and civil society organizations can access the data to create solutions and innovations that complement the city’s new policies. One example is the successful “Hoyo de Crimen” app, which proposes safe travel routes based on the latest street-level crime data, enabling people to avoid crime hotspots as they walk or cycle through the city.

Since the introduction of the open data policy – which has contributed to a comprehensive crime reduction and social support strategy – high-impact crime in the city has decreased by 53%, and 43% of Mexico City residents now consider the city to be a safe place…(More)”.

Fighting poverty with synthetic data


Article by Jack Gisby, Anna Kiknadze, Thomas Mitterling, and Isabell Roitner-Fransecky: “If you have ever used a smartwatch or other wearable tech to track your steps, heart rate, or sleep, you are part of the “quantified self” movement. You are voluntarily submitting millions of intimate data points for collection and analysis. The Economist highlighted the benefits of good quality personal health and wellness data—increased physical activity, more efficient healthcare, and constant monitoring of chronic conditions. However, not everyone is enthusiastic about this trend. Many fear corporations will use the data to discriminate against the poor and vulnerable. For example, insurance firms could exclude patients based on preconditions obtained from personal data sharing.

Can we strike a balance between protecting the privacy of individuals and gathering valuable information? This blog explores applying a synthetic populations approach in New York City,  a city with an established reputation for using big data approaches to support urban management, including for welfare provisions and targeted policy interventions.

To better understand poverty rates at the census tract level, World Data Lab, with the support of the Sloan Foundation, generated a synthetic population based on the borough of Brooklyn. Synthetic populations rely on a combination of microdata and summary statistics:

  • Microdata consists of personal information at the individual level. In the U.S., such data is available at the Public Use Microdata Area (PUMA) level. PUMA are geographic areas partitioning the state, containing no fewer than 100,000 people each. However, due to privacy concerns, microdata is unavailable at the more granular census tract level. Microdata consists of both household and individual-level information, including last year’s household income, the household size, the number of rooms, and the age, sex, and educational attainment of each individual living in the household.
  • Summary statistics are based on populations rather than individuals and are available at the census tract level, given that there are fewer privacy concerns. Census tracts are small statistical subdivisions of a county, averaging about 4,000 inhabitants. In New York City, a census tract roughly equals a building block. Similar to microdata, summary statistics are available for individuals and households. On the census tract level, we know the total population, the corresponding demographic breakdown, the number of households within different income brackets, the number of households by number of rooms, and other similar variables…(More)”.

Collective Intelligence to Co-Create the Cities of the Future: Proposal of an Evaluation Tool for Citizen Initiatives


Paper by Fanny E. Berigüete, Inma Rodriguez Cantalapiedra, Mariana Palumbo and Torsten Masseck: “Citizen initiatives (CIs), through their activities, have become a mechanism to promote empowerment, social inclusion, change of habits, and the transformation of neighbourhoods, influencing their sustainability, but how can this impact be measured? Currently, there are no tools that directly assess this impact, so our research seeks to describe and evaluate the contributions of CIs in a holistic and comprehensive way, respecting the versatility of their activities. This research proposes an evaluation system of 33 indicators distributed in 3 blocks: social cohesion, urban metabolism, and transformation potential, which can be applied through a questionnaire. This research applied different methods such as desk study, literature review, and case study analysis. The evaluation of case studies showed that the developed evaluation system well reflects the individual contribution of CIs to sensitive and important aspects of neighbourhoods, with a lesser or greater impact according to the activities they carry out and the holistic conception they have of sustainability. Further implementation and validation of the system in different contexts is needed, but it is a novel and interesting proposal that will favour decision making for the promotion of one or another type of initiative according to its benefits and the reality and needs of the neighbourhood…(More)”.