Paper by Christian Sandvig et al in Special Issue of the International Journal of Communication on Automation, Algorithms, and Politics: “Computer algorithms organize and select information across a wide range of applications and industries, from search results to social media. Abuses of power by Internet platforms have led to calls for algorithm transparency and regulation. Algorithms have a particularly problematic history of processing information about race. Yet some analysts have warned that foundational computer algorithms are not useful subjects for ethical or normative analysis due to complexity, secrecy, technical character, or generality. We respond by investigating what it is an analyst needs to know to determine whether the algorithm in a computer system is improper, unethical, or illegal in itself. We argue that an “algorithmic ethics” can analyze a particular published algorithm. We explain the importance of developing a practical algorithmic ethics that addresses virtues, consequences, and norms: We increasingly delegate authority to algorithms, and they are fast becoming obscure but important elements of social structure…. (More)”
A decentralized web would give power back to the people online
Matthew Hodgson at TechCrunch: “…The original purpose of the web and internet, if you recall, was to build a common neural network which everyone can participate in equally for the betterment of humanity.Fortunately, there is an emerging movement to bring the web back to this vision and it even involves some of the key figures from the birth of the web. It’s called the Decentralised Web or Web 3.0, and it describes an emerging trend to build services on the internet which do not depend on any single “central” organisation to function.
So what happened to the initial dream of the web? Much of the altruism faded during the first dot-com bubble, as people realised that an easy way to create value on top of this neutral fabric was to build centralised services which gather, trap and monetise information.
Search Engines (e.g. Google), Social Networks (e.g. Facebook), Chat Apps (e.g. WhatsApp )have grown huge by providing centralised services on the internet. For example, Facebook’s future vision of the internet is to provide access only to the subset of centralised services endorses (Internet.org and Free Basics).
Meanwhile, it disables fundamental internet freedoms such as the ability to link to content via a URL (forcing you to share content only within Facebook) or the ability for search engines to index its contents (other than the Facebook search function).
The Decentralised Web envisions a future world where services such as communication,currency, publishing, social networking, search, archiving etc are provided not by centralised services owned by single organisations, but by technologies which are powered by the people: their own community. Their users.
The core idea of decentralisation is that the operation of a service is not blindly trusted toany single omnipotent company. Instead, responsibility for the service is shared: perhaps by running across multiple federated servers, or perhaps running across client side apps in an entirely “distributed” peer-to-peer model.
Even though the community may be “byzantine” and not have any reason to trust or depend on each other, the rules that describe the decentralised service’s behaviour are designed to force participants to act fairly in order to participate at all, relying heavily on cryptographic techniques such as Merkle trees and digital signatures to allow participants to hold each other accountable.
There are three fundamental areas that the Decentralised Web necessarily champions:privacy, data portability and security.
- Privacy: Decentralisation forces an increased focus on data privacy. Data is distributed across the network and end-to-end encryption technologies are critical for ensuring that only authorized users can read and write. Access to the data itself is entirely controlled algorithmically by the network as opposed to more centralized networks where typically the owner of that network has full access to data, facilitating customer profiling and ad targeting.
- Data Portability: In a decentralized environment, users own their data and choose with whom they share this data. Moreover they retain control of it when they leave a given service provider (assuming the service even has the concept of service providers). This is important. If I want to move from General Motors to BMW today, why should I not be able to take my driving records with me? The same applies to chat platform history or health records.
- Security: Finally, we live in a world of increased security threats. In a centralized environment, the bigger the silo, the bigger the honeypot is to attract bad actors.Decentralized environments are safer by their general nature against being hacked,infiltrated, acquired, bankrupted or otherwise compromised as they have been built to exist under public scrutiny from the outset….(More)”
How Companies Can Help Cities Close the Data Gap
Shamina Singh in Governing: “Recent advances in data analytics have revolutionized the way many companies do business. Starbucks, for example, rolls out new beverages and chooses its store locations by analyzing customer, economic and other data. And as Amazon’s customers know so well, the company makes purchase recommendations to them in real time based on items they’ve viewed or bought. So why aren’t more of our cities leveraging data in the same way to improve services for their residents?
According to a recent report by Bloomberg Philanthropies’ What Works Cities initiative, city officials say they simply lack the capacity to do so. Nearly half pointed to a shortage of staff and financial resources dedicated to gathering and evaluating data.
This gap between companies’ and cities’ ability to use data is not surprising. Businesses have invested heavily in data and analytics in recent years, and they are spending an average of $7 million annually per company on data-related activities. These investments are made with the understanding that they will improve the companies’ bottom line, and they have started paying off.
City halls, on the other hand, find themselves hamstrung when it comes to investing in data and analytics. Despite recent growth, city revenues remain below pre-recession levels, with spending demands on the rise. Furthermore, many cities face the need to balance long-term opportunity with real short-term needs. Do you hire a data scientist — who may command a salary north of $200,000 — to research strategies to reduce crime in the long run, or do you hire more police officers to keep neighborhoods safe today?….
One way companies can help is through data philanthropy, leveraging their data analytics and capabilities to advance social progress. A step beyond conventional philanthropy and traditional corporate social-responsibility initiatives, data philanthropy is a new kind of response to social issues.
There are a number of ways cities could employ data philanthropy. For starters, they could partner with relevant apps to help ameliorate deteriorating roads. In Oklahoma City, for example, potholes are a particularly serious problem. Data from Waze, the community-based mapping and navigation app, could be leveraged to build a system through which residents could report potholes, allowing city services to efficiently fill them in.
Some data-philanthropy projects are already underway. Uber, for example, recently partnered with the city of Boston in the hopes that its data could help the city improve traffic congestion and community planning. Uber donates anonymized trip data by Zip code, allowing city officials to see the date and time of a trip, its duration and distance traveled. Boston’s transportation, neighborhood development and redevelopment agencies will have access to the data, equipping them with a new tool for more-effective policymaking.
While there is demonstrated enthusiasm from cities for more effective use of data to improve their residents’ lives, cities won’t be able to close the data gap on their own. Private-sector companies must answer the call. Helped in part by the better use of data, cities can create improved, more inclusive and stronger business environments. Who would argue with that goal?…(More)”
Sustainable Smart Cities: Creating Spaces for Technological, Social and Business Development
Book edited by Peris-Ortiz, Marta, Bennett, Dag, and Pérez-Bustamante Yábar, Diana: “This volume provides the most current research on smart cities. Specifically, it focuses on the economic development and sustainability of smart cities and examines how to transform older industrial cities into sustainable smart cities. It aims to identify the role of the following elements in the creation and management of smart cities:
- Citizen participation and empowerment
- Value creation mechanisms
- Public administration
- Quality of life and sustainability
- Democracy
- ICT
- Private initiatives and entrepreneurship
Regardless of their size, all cities are ultimately agglomerations of people and institutions. Agglomeration economies make it possible to attain minimum efficiencies of scale in the organization and delivery of services. However, the economic benefits do not constitute the main advantage of a city. A city’s status rests on three dimensions: (1) political impetus, which is the result of citizens’ participation and the public administration’s agenda; (2) applications derived from technological advances (especially in ICT); and (3) cooperation between public and private initiatives in business development and entrepreneurship. These three dimensions determine which resources are necessary to create smart cities. But a smart city, ideal in the way it channels and resolves technological, social and economic-growth issues, requires many additional elements to function at a high-performance level, such as culture (an environment that empowers and engages citizens) and physical infrastructure designed to foster competition and collaboration, encourage new ideas and actions, and set the stage for new business creation. …(More)”.
Privacy Preservation in the Age of Big Data
A survey and primer by John S. Davis II and Osonde Osoba at Rand: “Anonymization or de-identification techniques are methods for protecting the privacy of subjects in sensitive data sets while preserving the utility of those data sets. The efficacy of these methods has come under repeated attacks as the ability to analyze large data sets becomes easier. Several researchers have shown that anonymized data can be reidentified to reveal the identity of the data subjects via approaches such as so-called “linking.” In this report, we survey the anonymization landscape of approaches for addressing re-identification and we identify the challenges that still must be addressed to ensure the minimization of privacy violations. We also review several regulatory policies for disclosure of private data and tools to execute these policies….(More)”.
Participatory Budgeting in the United States: A Guide for Local Governments
Book by Victoria Gordon, Jeffery L. Osgood, Jr., Daniel Boden: “Although citizen engagement is a core public service value, few public administrators receive training on how to share leadership with people outside the government.Participatory Budgeting in the United States serves as a primer for those looking to understand a classic example of participatory governance, engaging local citizens in examining budgetary constraints and priorities before making recommendations to local government. Utilizing case studies and an original set of interviews with community members, elected officials, and city employees, this book provides a rare window onto the participatory budgeting process through the words and experiences of the very individuals involved. The central themes that emerge from these fascinating and detailed cases focus on three core areas: creating the participatory budgeting infrastructure; increasing citizen participation in participatory budgeting; and assessing and increasing the impact of participatory budgeting. This book provides students, local government elected officials, practitioners, and citizens with a comprehensive understanding of participatory budgeting and straightforward guidelines to enhance the process of civic engagement and democratic values in local communities….(More)”
Remote Data Collection: Three Ways to Rethink How You Collect Data in the Field
Magpi : “As mobile devices have gotten less and less expensive – and as millions worldwide have climbed out of poverty – it’s become quite common to see a mobile phone in every person’s hand, or at least in every family, and this means that we can utilize an additional approach to data collection that were simply not possible before….
In our Remote Data Collection Guide, we discuss these new technologies and the:
- Key benefits of remote data collection in each of three different situations.
- The direct impact of remote data collection on reducing the cost of your efforts.
- How to start the process of choosing the right option for your needs….(More)”
Three Use Cases How Big Data Helps Save The Earth
DataFloq: “The earth is having a difficult time, for quite some time already. Deforestation is still happening at a large scale across the globe. In Brazil alone 40,200 hectares were deforested in the past year. The great pacific garbage patch is still growing and smog in Beijing is more common than a normal bright day. This is nothing new unfortunately. A possible solution is however. Since a few years, scientists, companies and governments are turning to Big Data to solve such problems or even prevent them from happening. It turns out that Big Data can help save the earth and if done correctly, this could lead to significant results in the coming years. Let’s have a look at some fascinating use cases of how Big Data can contribute:
Monitoring Biodiversity Across the Globe
Conservation International, a non-profit environmental organization with a mission to protect nature and its biodiversity, crunches vast amounts of data from images to monitor biodiversity around the world. At 16 important sites across the continents, they have installed over a 1000 smart cameras. Thanks to the motion sensor, these cameras will captures images as soon as the sensor is triggered by animals passing by. Per site these cameras cover approximately 2.000 square kilometres…. They automatically determine which species have appeared in the images and enrich the data with other information such as climate data, flora and fauna data and land use data to better understand how animal populations change over time…. the Wildlife Picture Index (WPI) Analytics System, a project dashboard and analytics tool for visualizing user-friendly, near real-time data-driven insights on the biodiversity. The WPI monitors ground-dwelling tropical medium and large mammals and birds, species that are important economically, aesthetically and ecologically.
Using Satellite Imagery to Combat Deforestation
Mapping deforestation is becoming a lot easier today thanks to Big Data. Imagery analytics allows environmentalists and policy makers to monitor, almost in real-time, the status of forests around the globe with the help of satellite imagery. New tools like the Global Forest Watch uses a massive amount of high-resolution NASA satellite imagery to assist conservation organizations, governments and concerned citizens monitor deforestation in “near-real time.”…
But that’s not all. Planet Labs has developed a tiny satellite that they are currently sending into space, dozens at a time. The satellite measures only 10 by 10 by 30 centimeters but is outfitted with the latest technology. They aim to create a high-resolution image of every spot on the earth, updated daily. Once available, this will generate massive amounts of data that they will open source for others to develop applications that will improve earth.
Monitoring and Predicting with Smart Oceans
Over 2/3 of the world consists of oceans and also these oceans can be monitored. Earlier this year, IBM Canada and Ocean Networks Canada announced a three-year program to better understand British Colombia’s Oceans. Using the latest technology and sensors, they want to predict offshore accidents, natural disasters and tsunamis and forecast the impact of these incidents. Using hundreds of cabled marine sensors they are capable of monitoring waves, currents, water quality and vessel traffic in some of the major shipping channels….These are just three examples of how Big Data can help save the planet. There are of course a lot more fascinating examples and here is list of 10 of such use cases….(More)”
Seeing Cities Through Big Data
Book edited by Thakuriah, Piyushimita (Vonu), Tilahun, Nebiyou, and Zellner, Moira: “… introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience…(More)”
The well-informed city: A decentralized, bottom-up model for a smart city service using information and self-organization
Smart Cities, a concept widely growing in popularity, describes cities that use digital technology, data analysis and connectivity to create value. The basic abstraction of a Smart City service includes collecting data about an urban issue, transmitting it to a central decision making process and “improving” the city with the insights generated. This model has spurred much critique, claiming Smart Cities are undemocratic, discriminatory and cannot significantly improve citizen’s quality of life. But what if the citizens were active in the process? It was Jane Jacobs who said “Cities have the capability of providing something for everybody, only because, and only when, they are created by everybody.” In this paper we lay a conceptual groundwork to envision “The Well-Informed City” — a decentralized, self-organizing Smart City service, where the value is created by everybody. The agents, who are the citizens of the city, are the ones who use the data to create value. We base the model on the cities’ feature of Self-Organization as described in the domain of Complexity Theory of Cities. We demonstrate its theoretical possibility, describe a short case study and finish with suggestions for future empirical research. This work is highly significant due to the ubiquitous nature of contemporary mobile based information services and growing open data sets….(More)”