New surveys reveal dynamism, challenges of open data-driven businesses in developing countries

Curated on Posted on by Stefaan Verhulst

Alla Morrison at World Bank Open Data blog: “Was there a class of entrepreneurs emerging to take advantage of the economic possibilities offered by open data, were investors keen to back such companies, were governments tuned to and responsive to the demands of such companies, and what were some of the key financing challenges and opportunities in emerging markets? As we began our work on the concept of an Open Fund, we partnered with Ennovent (India), MDIF (East Asia and Latin America) and Digital Data Divide (Africa) to conduct short market surveys to answer these questions, with a focus on trying to understand whether a financing gap truly existed in these markets. The studies were fairly quick (4-6 weeks) and reached only a small number of companies (193 in India, 70 in Latin America, 63 in South East Asia, and 41 in Africa – and not everybody responded) but the findings were fairly consistent.

  • Open data is still a very nascent concept in emerging markets. and there’s only a small class of entrepreneurs/investors that is aware of the economic possibilities; there’s a lot of work to do in the ‘enabling environment’
    • In many regions the distinction between open data, big data, and private sector generated/scraped/collected data was blurry at best among entrepreneurs and investors (some of our findings consequently are better indicators of  data-driven rather than open data-driven businesses)
  • There’s a small but growing number of open data-driven companies in all the markets we surveyed and these companies target a wide range of consumers/users and are active in multiple sectors
    • A large percentage of identified companies operate in sectors with high social impact – health and wellness, environment, agriculture, transport. For instance, in India, after excluding business analytics companies, a third of data companies seeking financing are in healthcare and a fifth in food and agriculture, and some of them have the low-income population or the rural segment of India as an intended beneficiary segment. In Latin America, the number of companies in business services, research and analytics was closely followed by health, environment and agriculture. In Southeast Asia, business, consumer services, and transport came out in the lead.
    • We found the highest number of companies in Latin America and Asia with the following countries leading the way – Mexico, Chile, and Brazil, with Colombia and Argentina closely behind in Latin America; and India, Indonesia, Philippines, and Malaysia in Asia
  • An actionable pipeline of data-driven companies exists in Latin America and in Asia
    • We heard demand for different kinds of financing (equity, debt, working capital) but the majority of the need was for equity and quasi-equity in amounts ranging from $100,000 to $5 million USD, with averages of between $2 and $3 million USD depending on the region.
  • There’s a significant financing gap in all the markets
    • The investment sizes required, while they range up to several million dollars, are generally small. Analysis of more than 300 data companies in Latin America and Asia indicates a total estimated need for financing of more than $400 million
  • Venture capitals generally don’t recognize data as a separate sector and club data-driven companies with their standard information communication technology (ICT) investments
    • Interviews with founders suggest that moving beyond seed stage is particularly difficult for data-driven startups. While many companies are able to cobble together an initial seed round augmented by bootstrapping to get their idea off the ground, they face a great deal of difficulty when trying to raise a second, larger seed round or Series A investment.
    • From the perspective of startups, investors favor banal e-commerce (e.g., according toTech in Asia, out of the $645 million in technology investments made public across the region in 2013, 92% were related to fashion and online retail) or consumer service startups and ignore open data-focused startups even if they have a strong business model and solid key performance indicators. The space is ripe for a long-term investor with a generous risk appetite and multiple bottom line goals.
  • Poor data quality was the number one issue these companies reported.
    • Companies reported significant waste and inefficiency in accessing/scraping/cleaning data.

The analysis below borrows heavily from the work done by the partners. We should of course mention that the findings are provisional and should not be considered authoritative (please see the section on methodology for more details)….(More).”

Bloomberg Philanthropies Launches $100 Million Data for Health Program in Developing Countries

Curated on Posted on by Stefaan Verhulst

Press Release: “Bloomberg Philanthropies, in partnership with the Australian government, is launching Data for Health, a $100 million initiative that will enable 20 low- and middle-income countries to vastly improve public health data collection.  Each year the World Health Organization estimates that 65% of all deaths worldwide – 35 million each year – go unrecorded. Millions more deaths lack a documented cause. This gap in data creates major obstacles for understanding and addressing public health problems. The Data for Health initiative seeks to provide governments, aid organizations, and public health leaders with tools and systems to better collect data – and use it to prioritize health challenges, develop policies, deploy resources, and measure success. Over the next four years, Data for Health aims to help 1.2 billion people in 20 countries across Africa, Asia, and Latin America live healthier, longer lives….

“Australia’s partnership on Data for Health coincides with the launch of innovationXchange, a new initiative to embrace exploration, experimentation, and risk through a focus on innovation,” said the Hon Julie Bishop MP, Australia’s Minister for Foreign Affairs. “Greater innovation in development assistance will allow us to do a better job of tackling the world’s most daunting problems, such as a lack of credible health data.”

In addition to improving the recording of births and deaths, Data for Health will support new mechanisms for conducting public health surveys. These surveys will monitor major risk factors for early death, including non-communicable diseases (chronic diseases that are not transmitted from person to person such as cancer and diabetes). With information from these surveys, illness caused by day-to-day behaviors such as tobacco use and poor nutrition habits can be targeted, addressed and prevented. Data for Health will take advantage of the wide-spread use of mobile phone devices in developing countries to enhance the efficiency of traditional household surveys, which are typically time-consuming and expensive…(More)”

Sensor Law

Curated on Posted on by Stefaan Verhulst

Paper by Sandra Braman: “For over two decades, information policy-making for human society has been increasingly supplemented, supplanted, and/or superceded by machinic decision-making; over three decades since legal decision-making has been explicitly put in place to serve machinic rather than social systems; and over four decades since designers of the Internet took the position that they were serving non-human (machinic, or daemon) users in addition to humans. As the “Internet of Things” becomes more and more of a reality, these developments increasingly shape the nature of governance itself. This paper’s discussion of contemporary trends in these diverse modes of human-computer interaction at the system level — interactions between social systems and technological systems — introduces the changing nature of the law as a sociotechnical problem in itself. In such an environment, technological innovations are often also legal innovations, and legal developments require socio-technical analysis as well as social, legal, political, and cultural approaches.

Examples of areas in which sensors are already receiving legal attention are rife. A non-comprehensive listing includes privacy concerns beginning but not ending with those raised by sensors embedded in phones and geolocation devices, which are the most widely discussed and those of which the public is most aware. Sensor issues arise in environmental law, health law, marine law, intellectual property law, and as they are raised by new technologies in use for national security purposes that include those confidence- and security-building measures intended for peacekeeping. They are raised by liability issues for objects that range from cars to ovens. And sensor issues are at the core of concerns about “telemetric policing,” as that is coming into use not only in North America and Europe, but in societies such as that of Brazil as well.

Sensors are involved in every stage of legal processes, from identification of persons of interest to determination of judgments and consequences of judgments. Their use significantly alters the historically-developed distinction among types of decision-making meant to come into use at different stages of the process, raising new questions about when, and how, human decision-making needs to dominate and when, and how, technological innovation might need to be shaped by the needs of social rather than human systems.

This paper will focus on the legal dimensions of sensors used in ubiquitous embedded computing….(More)”

Big Data for Social Good

Curated on Posted on by Stefaan Verhulst

Introduction to a Special Issue of the Journal “Big Data” by Catlett Charlie and Ghani Rayid: “…organizations focused on social good are realizing the potential as well but face several challenges as they seek to become more data-driven. The biggest challenge they face is a paucity of examples and case studies on how data can be used for social good. This special issue of Big Data is targeted at tackling that challenge and focuses on highlighting some exciting and impactful examples of work that uses data for social good. The special issue is just one example of the recent surge in such efforts by the data science community. …

This special issue solicited case studies and problem statements that would either highlight (1) the use of data to solve a social problem or (2) social challenges that need data-driven solutions. From roughly 20 submissions, we selected 5 articles that exemplify this type of work. These cover five broad application areas: international development, healthcare, democracy and government, human rights, and crime prevention.

“Understanding Democracy and Development Traps Using a Data-Driven Approach” (Ranganathan et al.) details a data-driven model between democracy, cultural values, and socioeconomic indicators to identify a model of two types of “traps” that hinder the development of democracy. They use historical data to detect causal factors and make predictions about the time expected for a given country to overcome these traps.

“Targeting Villages for Rural Development Using Satellite Image Analysis” (Varshney et al.) discusses two case studies that use data and machine learning techniques for international economic development—solar-powered microgrids in rural India and targeting financial aid to villages in sub-Saharan Africa. In the process, the authors stress the importance of understanding the characteristics and provenance of the data and the criticality of incorporating local “on the ground” expertise.

In “Human Rights Event Detection from Heterogeneous Social Media Graphs,” Chen and Neil describe efficient and scalable techniques to use social media in order to detect emerging patterns in human rights events. They test their approach on recent events in Mexico and show that they can accurately detect relevant human rights–related tweets prior to international news sources, and in some cases, prior to local news reports, which could potentially lead to more timely, targeted, and effective advocacy by relevant human rights groups.

“Finding Patterns with a Rotten Core: Data Mining for Crime Series with Core Sets” (Wang et al.) describes a case study with the Cambridge Police Department, using a subspace clustering method to analyze the department’s full housebreak database, which contains detailed information from thousands of crimes from over a decade. They find that the method allows human crime analysts to handle vast amounts of data and provides new insights into true patterns of crime committed in Cambridge…..(More)

Using open legislative data to map bill co-sponsorship networks in 15 countries

Curated on Posted on by Stefaan Verhulst

François Briatte at OpeningParliament.org: “A few years back, Kamil Gregor published a post under the title “Visualizing politics: Network analysis of bill sponsors”. His post, which focused on the lower chamber of the Czech Parliament, showed how basic social network analysis can support the exploration of parliamentary work, by revealing the ties that members of parliament create between each other through the co-sponsorship of private bills….In what follows, I would like to quickly report on a small research project that I have developed over the years, under the name “parlnet”.

Legislative data on bill co-sponsorship

This project looks at bill co-sponsorship networks in European countries. Many parliaments allow their members to co-sponsor each other’s private bills, which makes it possible to represent these parliaments as collaborative networks, where a tie exists between two MPs if they have co-sponsored legislation together.

This idea is not new: it was pioneered by James Fowler in the United States, and has been the subject of extensive research in American politics, both on the U.S. Congress and on state legislatures. Similar research also exists on the bill co-sponsorship networks of parliaments in Argentina, Chile andRomania.

Inspired by this research and by Baptiste Coulmont’s visualisation of the French lower chamber, I surveyed the parliamentary websites of the following countries:

  • all 28 current members of the European Union ;
  • 4 members of the EFTA: Iceland, Liechtenstein, Norway, and Switzerland

This search returned 19 parliamentary chambers from 15 countries for which it was (relatively) easy to extract legislative data, either through open data portals like data.riksdagen.se in Sweden ordata.stortinget.no in Norway, or from official parliamentary websites directly….After splitting the data into legislative periods separated by nationwide elections, I was able to draw a large collection of networks showing bill co-sponsorship in these 19 chambers….In this graph, each point (or node) is a Belgian MP, and each tie between two MPs indicates that they have co-sponsored at least one bill together. The colors and abbreviations used in the graph are party-related codes, which combine information on the parliamentary group and linguistic community of each MP.Because this kind of graph can be interesting to explore in more detail, I have also built interactive visualizations out of them, in order to show more detailed information on the MPs who participate in bill cosposorship…

The parlnet project was coded in R, and its code is public so that it might benefit from external contributions. The list of countries and chambers that it covers is not exhaustive: in some cases like Portugal, I simply failed to retrieve the data. More talented coders might therefore be able to add to the current database.

Bill cosponsorship networks illustrate how open legislative data provided by parliaments can be turned into interactive tools that easily convey some information about parliamentary work, including, but not limited to:

  • the role of parliamentary party leaders in managing the legislation produced by their groups
  • the impact of partisan discipline and ideology on legislative collaboration between MPs
  • the extent of cross-party cooperation in various parliamentary environments and chambers… (More)

31 cities agree to use EU-funded open innovation platform for better smart cities’ services

Curated on Posted on by Stefaan Verhulst

European Commission Press Release: “At CEBIT, 25 cities from 6 EU countries (Belgium, Denmark, Finland, Italy, Portugal and Spain) and 6 cities from Brazil will present Open & Agile Smart Cities Task Force (OASC), an initiative making it easier for city councils  and startups to improve smart city services (such as transport, energy efficiency, environmental or e-health services). This will be achieved thanks to FIWARE, an EU-funded, open source platform and cloud-based building blocks developed in the EU that can be used to develop a huge range of applications, from Smart Cities to eHealth, and from transport to disaster management. Many applications have already been built using FIWARE – from warnings of earthquakes to preventing food waste to Smartaxi apps. Find a full list of cities in the Background.

The OASC deal will allow cities to share their open data (collected from sensors measuring, for example, traffic flows) so that startups can develop apps and tools that benefit all citizens (for example, an app with traffic information for people on the move). Moreover, these systems will be shared between cities (so, an app with transport information developed in city A can be also adopted by city B, without the latter having to develop it from scratch); FIWARE will also give startups and app developers in these cities access to a global market for smart city services.

Cities from across the globe are trying to make the most of open innovation. This will allow them to include a variety of stakeholders in their activities (services are increasingly connected to other systems and innovative startups are a big part of this trend) and encourage a competitive yet attractive market for developers, thus reducing costs, increasing quality and avoiding vendor lock-in….(More)”

Turning smartphones into personal, real-time pollution-location monitors

Curated on Posted on by Stefaan Verhulst

Kurzweil Newsletter: “Scientists reporting in the ACS journal Environmental Science & Technology have used smartphone and sensing technology to better pinpoint times and locations of the worst air pollution, which is associated with respiratory and cardiovascular problems.

Most such studies create a picture of exposure based on air pollution levels outside people’s homes. This approach ignores big differences in air quality in school and work environments. It also ignores spikes in pollution that happen over the course of the day such as during rush hour.

To fill in these gaps, Mark J. Nieuwenhuijsen and colleagues in Spain, The Netherlands, and the U.S. equipped 54 school children from from 29 different schools around Barcelona with smartphones that could track their location and physical activity. The children also received sensors that continuously measured the ambient levels of black carbon, a component of soot. Although most children spent less than 4 percent of their day traveling to and from school, this exposure contributed 13 percent of their total potential black carbon exposure.

The study was associated with BREATHE, an epidemiological study of the relation between air pollution and brain development.

The researchers conclude that mobile technologies could contribute valuable new insights into air pollution exposure….

More: Mark J. Nieuwenhuijsen, David Donaire-Gonzalez, Ioar Rivas, Montserrat de Castro, Marta Cirach, Gerard Hoek, Edmund Seto, Michael Jerrett, Jordi Sunyer. Variability in and Agreement between Modeled and Personal Continuously Measured Black Carbon Levels Using Novel Smartphone and Sensor Technologies. Environmental Science & Technology, 2015; 150209104136008 DOI: 10.1021/es505362x

Budgets for the People

Curated on Posted on by Stefaan Verhulst
Paolo Spada and Hollie Russon Gilman on Brazil’s Democratic Innovations in Foreign Affairs: “At a time of record low trust in public institutions, thousands of new channels for citizen involvement in government are opening across the world. They go further than electoral participation; they increase citizens’ ability to monitor, regulate, and, in some cases, directly affect political decision-making.Labeled by scholars as democratic innovations, these efforts strengthen existing democratic institutions and promote participation in politics that exceeds infrequent voting. Participatory budgeting (PB) is a standout within the realm of democratic innovations, allowing citizens direct control over portions of government spending. Thirteen Brazilian cities introduced PB programs in 1989. By 2001, there were more than 100 cities implementing PB in Brazil, and in 2015, there are thousands of cities adopting variants of the process worldwide.
Brazilian best practices were instrumental in showcasing the potential of PB to the world. A 2008 World Bank study showed that implementing the process for ten years reduced poverty and improved access to clean water. Recent research has also shown that municipal governments that adopt PB receive an increase in public spending for services such as sanitation and health care. Scholars have also found that PB leads to an eight percent increase in the number of civil society organizations within a given Brazilian municipality, highlighting how this democratic innovation promotes citizen engagement, efficacy, voice, transparency, accountability, and lower levels of corruption. On a global scale, the spread of PB could help build trust among a citizenry that craves more participatory, transparent, and accountable institutions….(More)”

Open data: how mobile phones saved bananas from bacterial wilt in Uganda

Curated on Posted on by Stefaan Verhulst

Anna Scott in The Guardian:”Bananas are a staple food in Uganda. Ugandans eat more of the fruit than any other country in the world. Each person eats on average 700g (about seven small bananas) a day, according to the International Food Policy Research Institute, and they provide up to 27% of the population’s calorie intake.
But since 2002 a disease known as banana bacterial wilt (BBW) has wiped out crops across the country. When plants are infected, they cannot absorb water so their leaves start to shrivel and they eventually die….
The Ugandan government drew upon open data – data that is licensed and made available for anyone to access and share – about the disease made available by Unicef’s community polling project Ureport to deal with the problem.
Ureport mobilises a network of nearly 300,000 volunteers across Uganda, who use their mobiles to report on issues that affect them, from polio immunisation to malaria treatment, child marriage, to crop failure. It gathers data from via SMS polls and publishes the results as open sourced, open datasets.
The results are sent back to community members via SMS along with treatment options and advice on how best to protect their crops. Within five days of the first SMS being sent out, 190,000 Ugandans had learned about the disease and knew how to save bananas on their farms.
Via the Ureport platform, the datasets can also be accessed in real-time by community members, NGOs and the Ugandan government, allowing them to target treatments to where they we needed most. They are also broadcast on radio shows and analysed in articles produced by Ureport, informing wider audiences of scope and nature of the disease and how best to avoid it….
A report published this week by the Open Data Institute (ODI) features stories from around the world which reflect how people are using open date in development. Examples range from accessing school results in Tanzania to building smart cities in Latin America….(More).”

Opening travel spending through civic intelligence, participation and co-creation

Curated on Posted on by Stefaan Verhulst
Joel Salas Suárez at the Open Government Partnership Blog: “When we were appointed by the Senate as Commissioners of the Access to Information Institute in Mexico (IFAI), we identified two high profile issues that had negatively affected the Institute’s image: the acquisition of its new building and the lack of transparency on international travel expenditure of the former Commissioners.

IFAI has to lead by example, so my fellow commissioners and I decided to tackle these two problems with transparency actions to send a clear message to the Mexican society and the international community in our first hundred days in office. First we created the website sede.ifai.mx to publish all the information about the new building procurement (a 45.6 million USD lease). Secondly, we decided to start our first civic innovation project, a joint venture with civil society organizations, to find the best way to publish information related to travel spending by IFAI’s public servants.
Travel expenditure of IFAI is comparatively smaller. During 2013 it allotted to 186,760 USD, 0.5% of the Institute’s budget (38.2 million USD). However, this expenditure has historically been of public interest and it should be. According to the 2013 Mexican Government Expenditure Review (the latest available) the Federal Level (Executive, Legislative and Judicial Powers, and Autonomous organs) spent close to 633 million USD in official travel (Chapter 3000, concept 3700). Therefore, we decided to tackle the problem and design a platform that would allow us to effectively publish information related to the public money spent on travel by public officials and the results obtained during these trips.
In order to do this, we worked with civil society experts in public participation, accountability and technology, Codeando México, SocialTIC and IMCO. Together we launched a public challenge to create an open source web application to publish information on official travel spending.
The challenge #RetoViajesTransparentes was a very successful experience. Close to a hundred participants registered 14 projects that competed to develop an app that IFAI would officially use and to win a 3,500 USD prize. The jury selected 3 finalists, who presented their projects on a public Google Hangout. The winner app is named Viajes Claros and is being used to publish travel expenditure information of IFAI at viajesclaros.ifai.mx.
This challenge has allowed us to shift focus from the inputs of official travel (i.e. the money spent) to the outputs or results attained in each trip. Viajes Claros opens relevant information to understand and evaluate the activities performed by the public servants during their trips. It also allowed us to co-create with society an open source tool that can be replicated in Mexico and other countries….(More)”.