Evaluation Guidelines for Representative Deliberative Processes

Curated on Posted on by Stefaan Verhulst

OECD Report: “Evaluations of representative deliberative processes do not happen regularly, not least due to the lack of specific guidance for their evaluation. To respond to this need, together with an expert advisory group, the OECD has developed Evaluation Guidelines for Representative Deliberative Processes. They aim to encourage public authorities, organisers, and evaluators to conduct more comprehensive, objective, and comparable evaluations.

These evaluation guidelines establish minimum standards and criteria for the evaluation of representative deliberative processes as a foundation on which more comprehensive evaluations can be built by adding additional criteria according to specific contexts and needs.

The guidelines suggest that independent evaluations are the most comprehensive and reliable way of evaluating a deliberative process.

For smaller and shorter deliberative processes, evaluation in the form of self-reporting by members and/or organisers of a deliberative process can also contribute to the learning process…(More)”.

‘Anyway, the dashboard is dead’: On trying to build urban informatics

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Paper by Jathan Sadowski: “How do the idealised promises and purposes of urban informatics compare to the material politics and practices of their implementation? To answer this question, I ethnographically trace the development of two data dashboards by strategic planners in an Australian city over the course of 2 years. By studying this techno-political process from its origins onward, I uncovered an interesting story of obdurate institutions, bureaucratic momentum, unexpected troubles, and, ultimately, frustration and failure. These kinds of stories, which often go untold in the annals of innovation, contrast starkly with more common framings of technological triumph and transformation. They also, I argue, reveal much more about how techno-political systems are actualised in the world…(More)”.

Adopting Agile in State and Local Governments

Curated on Posted on by Stefaan Verhulst

Report by Sukumar Ganapati: “Agile emerged initially as a set of values and principles for software development formalized in 2001 with the Agile Manifesto. For two decades, it helped revolutionize software development. Today, Agile approaches have been adapted to government services beyond software development, offering a new way of thinking and delivering in areas such as project management, policymaking, human resources, and procurement. 

The basics of Agile and associated methods have been covered in previous IBM Center for The Business of Government reports. These reports provide a good overview of Agile principles, use of Lean, and application of user-centered design. They provide insights into the evolution of Agile adoption in public sector over the last two decades. This new report, Adopting Agile in State and Local Governments, by Sukumar Ganapati of Florida International University, examines the adoption of Agile among state and local governments. State and local governments have increasingly adopted Agile methods in the last decade, applying them across a range of applications. At the same time, they vary widely in terms of their maturity levels in the adoption and implementation.

Professor Ganapati identifies three broad phases in this lifecycle of Agile maturity among public agencies in general.  The three phases are not clear cut, with distinctive breaks between where one phase ends and the next one begins. Rather, they could be conceived as a continuum, as public agencies evolve through the lifecycle of implementing Agile. The report highlights the evolution of the use of Agile methods in two states (Connecticut and California) and two local cities (New York and Austin). The cases show the rich contextual evolution of Agile and how the methods are applied for using technology to streamline enterprise processes and to address social policy problems. The four case studies show different trajectories of adopting Agile in state and local governments. The strategies for adopting and implementing Agile methods broadly differ in the three lifecycle phases of infancy, adolescence, and adulthood. The case studies offer lessons for enabling strategies to adopt Agile across these three phases…(More)”.

User-Centricity: What It Means, How It Works, Why It’s Needed

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Policy Brief by UserCentriCities project: “.. looks critically at the need for putting citizens at the heart of digital government – and analyses six successful projects in key European cities: Bologna (Emilia Romagna Region), Espoo, Milan, Murcia, Rotterdam and Tallinn. Building on lessons learned in a year of structured interviews with leading officials in the UserCentriCities project, the policy brief looks at key trends driving breakthroughs in digital-service delivery – in the public and private sector – and proposes a five-point roadmap for greater Europe-national-local collaboration in the service of citizens. The policy brief will launch at The 2021 UserCentriCities Summit, in the presence of Boštjan Koritnik, minister for public administration of Slovenia, which currently holds the Presidency of the Council of the European Union….(More)”.

Design for Social Innovation: Case Studies from Around the World

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Book edited By Mariana Amatullo, Bryan Boyer, Jennifer May and Andrew Shea: “The United Nations, Australia Post, and governments in the UK, Finland, Taiwan, France, Brazil, and Israel are just a few of the organizations and groups utilizing design to drive social change. Grounded by a global survey in sectors as diverse as public health, urban planning, economic development, education, humanitarian response, cultural heritage, and civil rights, Design for Social Innovation captures these stories and more through 45 richly illustrated case studies from six continents.

From advocating to understanding and everything in between, these cases demonstrate how designers shape new products, services, and systems while transforming organizations and supporting individual growth.

How is this work similar or different around the world? How are designers building sustainable business practices with this work? Why are organizations investing in design capabilities? What evidence do we have of impact by design? Leading practitioners and educators, brought together in seven dynamic roundtable discussions, provide context to the case studies.

Design for Social Innovation is a must-have for professionals, organizations, and educators in design, philanthropy, social innovation, and entrepreneurship. This book marks the first attempt to define the contours of a global overview that showcases the cultural, economic, and organizational levers propelling design for social innovation forward today…(More)”

How the Data Revolution Will Help the World Fight Climate Change

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Article by Robert Muggah and Carlo Ratti: “…The rapidly increasing volume and variety of Big Data collected in cities—whose potential has barely been tapped—can help solve the pressing need for actionable insight. For one, it can be used to track the climate crisis as it happens. Collected in real-time and in high resolution, data can serve as an interface between aspirational goals and daily implementation. Take the case of mobility, a key contributor to carbon, nitrogen, and particulate emissions. A wealth of data from fixed sensors, outdoor video footage, navigation devices, and mobile phones could be processed in real time to classify all modes of city transportation. This can be used to generate granular knowledge of which vehicles—from gas-guzzling SUVs to electric bikes—are contributing to traffic and emissions in a given hour, day, week, or month. This kind of just-in-time analytics can inform agile policy adjustments: Data showing too many miles driven by used diesel vehicles might indicate the need for more targeted car buyback programs while better data about bike use can bolster arguments for dedicated lanes and priority at stoplights.

Data-driven analytics are already improving energy use efficiency in buildings, where heating, cooling, and electricity use are among the chief culprits of greenhouse gas emissions. It is now possible to track spatial and temporal electricity consumption patterns inside commercial and residential properties with smart meters. City authorities can use them to monitor which buildings are using the most power and when. This kind of data can then be used to set incentives to reduce consumption and optimize energy distribution over a 24-hour period. Utilities can charge higher prices during peak usage hours that put the most carbon-intensive strain on the grid. Although peak pricing strategies have existed for decades, data abundance and advanced computing could now help utilities make use of their full potential. Likewise, thermal cameras in streets can identify buildings with energy leaks, especially during colder periods. Tenants can use this data to replace windows or add insulation, substantially reducing their utility bills while also contributing to local climate action.

The data revolution is being harnessed by some cities to hasten the energy transition. A good example of this is the Helsinki Hot Heart proposal that recently won a city-wide energy challenge (and which one of our firms—Carlo Ratti Associati—is involved in). Helsinki currently relies on a district heating system powered by coal power plants that are expected to be phased out by 2030. A key question is whether it is possible to power the city using intermittent renewable energy sources. The project proposes giant water basins, floating off the shore in the Baltic Sea, that act as insulated thermal batteries to accumulate heat during peak renewable production, releasing it through the district heating system. This is only possible through a fine-tuned collection of sensors, algorithms, and actuators. Relying on the flow of water and bytes, Helsinki Hot Hearth would offer a path to digital physical systems that could take cities like Helsinki to a sustainable, data-driven future….(More)”.

Privacy Principles for Mobility Data

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About: “The Principles are a set of values and priorities intended to guide the mobility ecosystem in the responsible use of data and the protection of individual privacy. They are intended to serve as a guiding “North Star” to assess technical and policy decisions that have implications for privacy when handling mobility data. The principles are designed to apply to all sectors, including public, private, research and non-profit….

Increasingly, organizations in the public, private and nonprofit sectors are faced with decisions that have data privacy implications. For organizations utilizing mobility data, these principles provide a baseline framework to both identify and address these situations. Individuals whose data is being collected, utilized and shared must be afforded proper protections and opportunities for agency in how information about them is used and handled. These principles offer guidance for how to engage in this process.

Human movement generates data in many ways: directly through the usage of GPS-enabled mobility services or devices, indirectly through phones or other devices with geolocation and even through cameras and other sensors that observe the public realm. While these principles were written with shared mobility services in mind, many of them will be applicable in other contexts in which data arising out of individual movement is collected and analyzed. We encourage any organization working with this type of data to adapt and apply these principles in their specific context.

While not all mobility data may present a privacy risk to individuals, all stakeholders managing mobility data should treat it as personal information that is sensitive, unless it can be demonstrated that it doesn’t present a privacy risk to individuals.

These principles were developed through a collaboration organized by the New Urban Mobility (NUMO) alliance, the North American Bikeshare & Scootershare Association (NABSA) and the Open Mobility Foundation (OMF) in 2020. These groups convened a diverse set of stakeholders representing cities, mobility service providers, technology companies, privacy advocates and academia. Over the course of many months, this group heard from privacy experts, discussed key topics related to data privacy and identified core ideas and common themes to serve as a basis for these Principles….(More)”.

The AI Localism Canvas: A Framework to Assess the Emergence of Governance of AI within Cities

Curated on Posted on by Stefaan Verhulst

Paper by Verhulst, Stefaan, Andrew Young, and Mona Sloane: “AI Localism focuses on governance innovation surrounding the use of AI on a local level….As it stands, however, the decision-making processes involved in the local governance of AI systems are not very systematized or well understood. Scholars and local decision-makers lack an adequate evidence base and analytical framework to help guide their thinking. In order to address this shortcoming, we have developed the below “AI Localism Canvas” which can help identify, categorize and assess the different areas of AI Localism specific to a city or region, in the process aid decision-makers in weighing risk and opportunity. The overall goal of the canvas is to rapidly assess and iterate local governance innovation about AI to ensure citizens’ interests and rights are respected….(More)”.

How Could Smart Cities Use Data? – Towards a Taxonomy of Data-Driven Smart City Projects

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Paper by Babett Kühne and Kai Heidel: “The process of urbanization has caused a huge growth in cities all over the world. This development makes the organization and infrastructure of an individual city increasingly important. In this context, the idea of a smart city is growing and smart city projects are beginning to appear. As the amount of data is growing with connected technologies, such projects rely on data as a key resource. However, current research does not provide an overview on these projects and which constructs are involved in data-driven smart city projects. Therefore, this research begins the building of a taxonomy on such projects through the establishment of a common language among researchers in this new field through eleven dimensions. Additionally, it develops a concrete conceptualization of data-driven smart city projects for practitioners as an initial guidance for the field of smart cities….(More)”.

Towards Better Governance of Urban Data: Concrete Examples of Success

Curated on Posted on by Stefaan Verhulst

Blogpost by Naysan Saran: “Since the Sumerians of the fourth millennium BCE, governments have kept records. These records have, of course, evolved from a few hundred cuneiform symbols engraved on clay tablets to terabytes of data hosted on cloud servers. However, their primary goal remains the same: to improve land management.

That being said, the six thousand years of civilization separating us from the Sumerians has seen the birth of democracy, and with that birth, a second goal has been grafted onto the first: cities must now earn the trust of their citizens with respect to how they manage those citizens’ data. This goal cannot be achieved without good data governance, which defines strategies for the efficient and transparent use and distribution of information.

To learn more about the state of the art in municipal data management, both internally and externally, we went to meet with two experts who agreed to share their experiences and best practices: François Robitaille, business architect for the city of Laval; and Adrienne Schmoeker, former Deputy Chief Analytics Officer for the City of New York, and Director at the New York City Mayor’s Office of Data Analytics where she managed the Open Data Program for three years….(More)”