Modernizing government’s approach to transportation and land use data: Challenges and opportunities


Adie Tomer and Ranjitha Shivaram at Brookings: “In the fields of transportation and land use planning, the public sector has long taken the leading role in the collection, analysis, and dissemination of data. Often, public data sets drawn from traveler diaries, surveys, and supply-side transportation maps were the only way to understand how people move around in the built environment – how they get to work, how they drop kids off at school, where they choose to work out or relax, and so on.

But, change is afoot: today, there are not only new data providers, but also new types of data. Cellphones, GPS trackers, and other navigation devices offer real-time demand-side data. For instance, mobile phone data can point to where distracted driving is a problem and help implement measures to deter such behavior. Insurance data and geo-located police data can guide traffic safety improvements, especially in accident-prone zones. Geotagged photo data can illustrate the use of popular public spaces by locals and tourists alike, enabling greater return on investment from public spaces. Data from exercise apps like Fitbit and Runkeeper can help identify recreational hot spots that attract people and those that don’t.

However, integrating all this data into how we actually plan and build communities—including the transportation systems that move all of us and our goods—will not be easy. There are several core challenges. Limited staff capacity and restricted budgets in public agencies can slow adoption. Governmental procurement policies are stuck in an analog era. Privacy concerns introduce risk and uncertainty. Private data could be simply unavailable to public consumers. And even if governments could acquire all of the new data and analytics that interest them, their planning and investment models must be updated to fully utilize these new resources.

Using a mix of primary research and expert interviews, this report catalogs emerging data sets related to transportation and land use, and assesses the ease by which they can be integrated into how public agencies manage the built environment. It finds that there is reason for the hype; we have the ability to know more about how humans move around today than at any time in history. But, despite all the obvious opportunities, not addressing core challenges will limit public agencies’ ability to put all that data to use for the collective good….(More)”

Why and How Open Data Matters for Developing Economies


The GovLab is pleased to announce the launch of a new report that assesses and explores ways open data can be used in developing economies, “Open Data in Developing Economies: Toward Building an Evidence Base on What Works and How.” The new report co-authored by Stefaan Verhulst and Andrew Young seeks to :

(1) provides an evidence-based framework governments, NGOs, donors, and others can use to assess the impacts resulting from the use of open data in developing economies;

(2) outlines four key impact areas gleaned from 12 case studies that feature real-world examples from 12 countries, ranging from Colombia to Nepal; and

(3) identifies 27 critical factors that help to determine the success (or failure) of open data uses in developing economies, organized into a newly-created Periodic Table of Open Data, along with recommendations for both practitioners and decision-makers, including donor agencies.

table

The “Open Data in Developing Economies” report is the result of a months-long collaboration between The GovLab and several partners, including the U.S. Agency for International Development, FHI 360, and the World Wide Web Foundation.

The full report and cases studies are available at ODimpact.org…”

 

From binoculars to big data: Citizen scientists use emerging technology in the wild


Interview by Rebecca Kondos: “For years, citizen scientists have trekked through local fields, rivers, and forests to observe, measure, and report on species and habitats with notebooks, binoculars, butterfly nets, and cameras in hand. It’s a slow process, and the gathered data isn’t easily shared. It’s a system that has worked to some degree, but one that’s in need of a technology and methodology overhaul.

Thanks to the team behind Wildme.org and their Wildbook software, both citizen and professional scientists are becoming active participants in using AI, computer vision, and big data. Wildbook is working to transform the data collection process, and citizen scientists who use the software have more transparency into conservation research and the impact it’s making. As a result, engagement levels have increased; scientists can more easily share their work; and, most important, endangered species like the whale shark benefit.

In this interview, Colin Kingen, a software engineer for WildBook, (with assistance from his colleagues Jason Holmberg and Jon Van Oast) discusses Wildbook’s work, explains classic problems in field observation science, and shares how Wildbook is working to solve some of the big problems that have plagued wildlife research. He also addresses something I’ve wondered about: why isn’t there an “uberdatabase” to share the work of scientists across all global efforts? The work Kingen and his team are doing exemplifies what can be accomplished when computer scientists with big hearts apply their talents to saving wildlife….(More)”.

Government initiative offers Ghanaians chance for greater participation


Springwise: “Openness and transparency are key ingredients in building an accountable and effective democratic government. An “open” government is transparent, accessible to anyone, anytime, anywhere; and is responsive to new ideas and demands. The key to this is providing access to accurate data to all citizens. However, in many countries, a low rate of citizen participation and involvement has led to poor accountability from government officials. In Ghana, a new project, TransGov, is developing innovative tools to foster participation in local governance of marginalised groups, and improve government accountability to those who need it most.

TransGov’s research found that many Ghanaians were not aware of the status of local development projects, and this has led to a general public apathy, where people felt they had no influence on getting the government to work for them. TransGov created a platform to enhance information disclosure, dissemination and to create ways for citizens to engage with the local leaders in their communities. The TransGov platform allows all citizens to track the progress of government projects in their area and to publish information about those projects. TransGov has four integrated platforms, including a website, mobile app, voice response technology (IVR) and SMS – to allow the participation of people from a wide range of socio-economic backgrounds.

The organization has recently partnered with the government-sponsored Ghana Open Data Initiative, to share resources, tools, and research and hold workshops and seminars. This is aimed to strengthen various government agencies in collecting and managing data for public use. The hope is that making this information more accessible will help create more business opportunities and drive innovation, as well as increasing democratic participation. We have seen this in educational radio broadcasts in Cairo subways and an app that allows citizen feedback on city development….(More)”.

How Africa’s Data Revolution Can Deliver Sustainable Development Outcomes


Donald Mogeni at Huffington Post: “…As a demonstration of this political will, several governments in Africa are blazing the trail in numerous ways. For instance, the Government of Senegal now considers investment in data as important as it would treat investment in physical infrastructure such as roads. In Ghana and Sierra Leone, more policy-makers and legislators are now using data to inform their work and make planning is continuously evidence-based.

Despite the progressive developments, several cautionary statements are worth noting. Firstly, data is not a silver-bullet to addressing present development challenges and/or problems. To be transformative, use of data and evidence must include political agency and citizen mobilization. Thus, while data may highlight important development cleavages, it may not guarantee change if not used appropriately within the various political contexts. ‘Everyone Counts’, a new global initiative by CARE, KWANTU and World Vision (that was also showcased in the meeting) seeks to contribute to this agenda.

Secondly, there is need for data ‘experts’ to move beyond the chronic obsession with big numbers to ensure greater inclusion of marginalised and vulnerable segments of the population. Achieving this will require a ‘business unusual’ approach that devises better data collection methodologies and technologies that must collect more and better than ever before. This ‘new’ data should then be used together with administrative and open data to ensure that ‘no one is left behind’.

Thirdly, the utility of citizen-generated data is still contentious – especially within state institutions. Increasing the value of this data must therefore involve standardization of data collection tools and methodologies across the board (to the extent possible), making consideration for ethical approvals, subjecting this data to quality audits and triangulation, as well as adhering to quality assurance standards.

Fourthly, the emergence of various data communities within African countries has made the roles of National Statistical Offices in the data ecosystem even more crucial. However, significant capacity and technical disparities exist between the various National Statistical Offices (NSOs) in Africa. To realise the potential of data and statistics in achieving sustainable development outcomes, financial and human capacities of these institutions must to be enhanced….(More)”.

Troops, Trolls and Troublemakers: A Global Inventory of Organized Social Media Manipulation


Report by Samantha Bradshaw and Philip N. Howard: “Cyber troops are government, military or political party teams committed to manipulating public opinion over social media. In this working paper, we report on specific organizations created, often with public money, to help define and manage what is in the best interest of the public. We compare such organizations across 28 countries, and inventory them according to the kinds of messages, valences and communication strategies used. We catalogue their organizationalforms and evaluate their capacities in terms of budgets and staffing. This working paper summarizes the findings of the first comprehensive inventory of the major organizations behind social media manipulation. We find that cyber troops are a pervasive and global phenomenon. Many different countries employ significant numbers of people and resources to manage and manipulate public opinion online, sometimes targeting domestic audiences and sometimes targeting foreign publics.

  •  The earliest reports of organized social media manipulation emerged in 2010, and by 2017 there are details on such organizations in 28 countries.
  • Looking across the 28 countries, every authoritarian regime has social media campaigns targeting their own populations, while only a few of them target foreign publics. In contrast, almost every democracy in this sample has organized social media campaigns that target foreign publics, while political‐party‐supported campaigns target domestic voters. 
  • Authoritarian regimes are not the only or even the best at organized social media manipulation. The earliest reports of government involvement in nudging public opinion involve democracies, and new innovations in political communication technologies often come from political parties and arise during high‐profile elections.
  • Over time, the primary mode for organizing cyber troops has gone from involving military units that experiment with manipulating public opinion over social media networks to strategic communication firms that take contracts from governments for social media campaigns….(More)”

Open data on universities – New fuel for transformation


François van Schalkwyk at University World News: “Accessible, usable and relevant open data on South African universities makes it possible for a wide range of stakeholders to monitor, advise and challenge the transformation of South Africa’s universities from an informed perspective.

Some describe data as the new oil while others suggest it is a new form of capital or compare it to electricity. Either way, there appears to be a groundswell of interest in the potential of data to fuel development.

Whether the proliferation of data is skewing development in favour of globally networked elites or disrupting existing asymmetries of information and power, is the subject of ongoing debate. Certainly, there are those who will claim that open data, from a development perspective, could catalyse disruption and redistribution.

Open data is data that is free to use without restriction. Governments and their agencies, universities and their researchers, non-governmental organisations and their donors, and even corporations, are all potential sources of open data.

Open government data, as a public rather than a private resource, embedded in principles of universal access, participation and transparency, is touted as being able to restore the deteriorating levels of trust between citizens and their governments.

Open data promises to do so by making the decisions and processes of the state more transparent and inclusive, empowering citizens to participate and to hold public institutions to account for the distribution of public services and resources.

Benefits of open data

Open data has other benefits over its more cloistered cousins (data in private networks, big data, etc). By democratising access, open data makes possible the use of data on, for example, health services, crime, the environment, procurement and education by a range of different users, each bringing their own perspective to bear on the data. This can expose bias in the data or may improve the quality of the data by surfacing data errors. Both are important when data is used to shape government policies.

By removing barriers to reusing data such as copyright or licence-fees, tech-savvy entrepreneurs can develop applications to assist the public to make more informed decisions by making available easy-to-understand information on medicine prices, crime hot-spots, air quality, beneficial ownership, school performance, etc. And access to open research data can improve quality and efficiency in science.

Scientists can check and confirm the data on which important discoveries are based if the data is open, and, in some cases, researchers can reuse open data from other studies, saving them the cost and effort of collecting the data themselves.

‘Open washing’

But access alone is not enough for open data to realise its potential. Open data must also be used. And data is used if it holds some value for the user. Governments have been known to publish server rooms full of data that no one is interested in to support claims of transparency and supporting the knowledge economy. That practice is called ‘open washing’. …(More)”

Features of Parliamentary Websites in Selected Jurisdictions


Report by The Law Library of Congress, Global Legal Research Center: “In recent years, parliaments around the world have enhanced their websites in order to improve access to legislative information and other parliamentary resources. Innovative features allow constituents and researchers to locate and utilize detailed information on laws and lawmaking in various ways. These include tracking tools and alerts, apps, the use of open data technology, and different search functions. In order to demonstrate some of the developments in this area, staff from the Global Legal Research Directorate of the Law Library of Congress surveyed the official parliamentary websites of fifty countries from all regions of the world, plus the website of the European Parliament. In some cases, information on more than one website is provided where separate sites have been established for different chambers of the national parliament, bringing the total number of individual websites surveyed to seventy.

While the information on the parliamentary websites is primarily in the national language of the particular country, around forty of the individual websites surveyed were found to provide at least limited information in one or more other languages. The European Parliament website can be translated into any of the twenty-four official languages of the members of the European Union.

All of the parliamentary websites included in the survey have at least basic browse tools that allow users to view legislation in a list format, and that may allow for viewing in, for example, date or title order. All of the substantive websites also enable searching, often providing a general search box for the whole site at the top of each page as well as more advanced search options for different types of documents. Some sites provide various facets that can be used to further narrow searches.

Around thirty-nine of the individual websites surveyed provide users with some form of tracking or alert function to receive updates on certain documents (including proposed legislation), parliamentary news, committee activities, or other aspects of the website. This includes the ability to subscribe to different RSS feeds and/or email alerts.

The ability to watch live or recorded proceedings of different parliaments, including debates within the relevant chamber as well as committee hearings, is a common feature of the parliamentary websites surveyed. Fifty-eight of the websites surveyed featured some form of video, including links to dedicated YouTube channels, specific pages where users can browse and search for embedded videos, and separate video services or portals that are linked to or viewable from the main site. Some countries also make videos available on dedicated mobile-friendly sites or apps, including Denmark, Germany, Ireland, the Netherlands, and New Zealand. In total, apps containing parliamentary information are provided in just fourteen of the countries surveyed. In comparison, the parliamentary websites of thirty countries are available in mobile-friendly formats, enabling easy access to information and different functionalities using smartphones and tablets.

The table also provides information on some of the additional special features available on the surveyed websites. Examples include dedicated sites or pages that provide educational information about the parliament for children (Argentina, El Salvador, Germany, Israel, Netherlands, Spain, Taiwan, Turkey); calendar functions, including those that allow users to save information to their personal calendars or otherwise view information about different types of proceedings or events (available on at least twenty websites); and open data portals or other features that allow information to be downloaded in bulk for reuse or analysis, including through the use of APIs (application programming interfaces) (at least six countries)….(More)”.

Civil society and online connectivity: controlling corruption on the net?


Niklas Kossow, Roberto Martínez and Barranco Kukutschka in Crime, Law and Social Change:”Over the past years, an increasing number of studies have looked at the use of internet and communications technology (ICT) in the fight against corruption. While there is broad agreement that ICT tools can be effective in controlling corruption, the mechanisms by which they are doing this are much less clear. This paper attempts to shine some light on this relationship. It focusses on the role of ICT in empowering citizens and supporting civil society. It argues that enlightened citizens can use internet access and social media to inform themselves on corruption, mobilise support for anti-corruption movements and gather information in order to shine a light on particularistic practices. Defining corruption as a collective action problem, the paper provides quantitative evidence to support its claim that ICT can support collective action of an informed citizenry and thus contribute to the control of corruption….(more)”

Uber Releases Open Source Project for Differential Privacy


Katie Tezapsidis at Uber Security: “Data analysis helps Uber continuously improve the user experience by preventing fraud, increasing efficiency, and providing important safety features for riders and drivers. Data gives our teams timely feedback about what we’re doing right and what needs improvement.

Uber is committed to protecting user privacy and we apply this principle throughout our business, including our internal data analytics. While Uber already has technical and administrative controls in place to limit who can access specific databases, we are adding additional protections governing how that data is used — even in authorized cases.

We are excited to give a first glimpse of our recent work on these additional protections with the release of a new open source tool, which we’ll introduce below.

Background: Differential Privacy

Differential privacy is a formal definition of privacy and is widely recognized by industry experts as providing strong and robust privacy assurances for individuals. In short, differential privacy allows general statistical analysis without revealing information about a particular individual in the data. Results do not even reveal whether any individual appears in the data. For this reason, differential privacy provides an extra layer of protection against re-identification attacks as well as attacks using auxiliary data.

Differential privacy can provide high accuracy results for the class of queries Uber commonly uses to identify statistical trends. Consequently, differential privacy allows us to calculate aggregations (averages, sums, counts, etc.) of elements like groups of users or trips on the platform without exposing information that could be used to infer details about a specific user or trip.

Differential privacy is enforced by adding noise to a query’s result, but some queries are more sensitive to the data of a single individual than others. To account for this, the amount of noise added must be tuned to the sensitivity of the query, which is defined as the maximum change in the query’s output when an individual’s data is added to or removed from the database.

As part of their job, a data analyst at Uber might need to know the average trip distance in a particular city. A large city, like San Francisco, might have hundreds of thousands of trips with an average distance of 3.5 miles. If any individual trip is removed from the data, the average remains close to 3.5 miles. This query therefore has low sensitivity, and thus requires less noise to enable each individual to remain anonymous within the crowd.

Conversely, the average trip distance in a smaller city with far fewer trips is more influenced by a single trip and may require more noise to provide the same degree of privacy. Differential privacy defines the precise amount of noise required given the sensitivity.

A major challenge for practical differential privacy is how to efficiently compute the sensitivity of a query. Existing methods lack sufficient support for the features used in Uber’s queries and many approaches require replacing the database with a custom runtime engine. Uber uses many different database engines and replacing these databases is infeasible. Moreover, custom runtimes cannot meet Uber’s demanding scalability and performance requirements.

Introducing Elastic Sensitivity

To address these challenges we adopted Elastic Sensitivity, a technique developed by security researchers at the University of California, Berkeley for efficiently calculating the sensitivity of a query without requiring changes to the database. The full technical details of Elastic Sensitivity are described here.

Today, we are excited to share a tool developed in collaboration with these researchers to calculate Elastic Sensitivity for SQL queries. The tool is available now on GitHub. It is designed to integrate easily with existing data environments and support additional state-of-the-art differential privacy mechanisms, which we plan to share in the coming months….(More)”.