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


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).”

Twitter for government: Indonesians get social media for public services


Medha Basu at FutureGov: “One of the largest users of social media in the world, Indonesians are taking it a step further with a new social network just for public services.

Enda Nasution and his team have built an app called Sebangsa, or Same Nation, featuring Facebook-like timelines (or Twitter-like feeds) for citizens to share about public services.

They want to introduce an idea they call “social government” in Indonesia, Nasution told FutureGov, going beyond e-government and open government to build a social relationship between the government and citizens….

It has two features that stand out. One called Sebangsa911 is for Indonesians to post emergencies, much like they might on Twitter or Facebook when they see an accident on the road or a crowd getting violent, for instance. Indonesia does not have any single national emergency number.

Another feature is called Sebangsa1800 which is a channel for people to post reviews, questions and complaints on public services and consumer products.

Why another social network?
But why build another social network when there are millions of users on Facebook and Twitter already? One reason is to provide a service that focuses on Indonesians, Nasution said – the app is in Bahasa.

Another is because existing social networks are not built specifically for public services. If you post a photo of an accident on Twitter, how many and how fast people see it depends on how many followers you have, Nasution said. These reports are also unstructured because they are “scattered all over Twitter”, he said. The app “introduces a little bit of structure to the reports”….(More)”

New portal to crowdsource captions, transcripts of old photos, national archives


Irene Tham at The Straits Times: “Wanted: history enthusiasts to caption old photographs and transcribe handwritten manuscripts that contain a piece of Singapore’s history.

They are invited to contribute to an upcoming portal that will carry some 3,000 unidentified photographs dating back to the late 1800s, and 3,000 pages of Straits Settlement records including letters written during Sir Stamford Raffles’ administration of Singapore.

These are collections from the Government and individuals waiting to be “tagged” on the new portal – The Citizen Archivist Project at www.nas.gov.sg/citizenarchivist….

Without tagging – such as by photo captioning and digital transcription – these records cannot be searched. There are over 140,000 photos and about one million pages of Straits Settlements Records in total that cannot be searched today.

These records date back to the 1800s, and include letters written during Sir Stamford Raffles’ administration in Singapore.

“The key challenge is that they were written in elaborate cursive penmanship which is not machine-readable,” said Dr Yaacob, adding that the knowledge and wisdom of the public can be tapped on to make these documents more accessible.

Mr Arthur Fong (West Coast GRC) had asked how the Government could get young people interested in history, and Dr Yaacob said this initiative was something they would enjoy.

Portal users must first log in using their existing Facebook, Google or National Library Board accounts. Contributions will be saved in users’ profiles, automatically created upon signing in.

Transcript contributions on the portal work in similar ways to Wikipedia; contributed text will be uploaded immediately on the portal.

However, the National Archives will take up to three days to review photo caption contributions. Approved captions will be uploaded on its website at www.nas.gov.sg/archivesonline….(More)”

2015 Edelman Trust Barometer


The 2015 Edelman Trust Barometer shows a global decline in trust over the last year, and the number of countries with trusted institutions has fallen to an all-time low among the informed public.

Among the general population, the trust deficit is even more pronounced, with nearly two-thirds of countries falling into the distruster category.
In the last year, trust has declined for three of the four institutions measured. NGOs continue to be the most trusted institution, but trust in NGOs declined from 66 to 63 percent. Sixty percent of countries now distrust media. Trust in government increased slightly, driven by big gains in India, Russia and Indonesia but government is still distrusted in 19 of the 27 markets surveyed. And trust in business is below 50 percent in half of those markets.
 

The downside of Open Data


Joshua Chambers at FutureGov: “…Inaccurate public datasets can cause big problems, because apps that feed off of them could be giving out false information. I was struck by this when we reported on an app in Australia that was issuing alerts for forest fires that didn’t exist. The data was coming from public emergency calls, but wasn’t verified before being displayed. This meant that app users would be alerted of all possible fires, but also could be caused unnecessarily panic. The government takes the view that more alerts are better than slower verified ones, but there is the potential for people to become less likely to trust all alerts on the app.
No-one wants to publish inaccurate data, but accuracy takes time and costs money. So we come to a central tension in discussions about open data: is it better to publish more data, with the risk of inaccuracy, or limit publication to datasets which are accurate?
The United Kingdom takes the view that more data is best. I interviewed the UK’s lead official on open data, Paul Maltby, a couple of years ago, and he told me that: “There’s a misnomer here that everything has to be perfect before you can put it out,” adding that “what we’re finding is that, actually, some of the datasets are a bit messy. We try to keep them as high-quality as we can; but other organisations then clean up the data and sell it on”.
Indeed, he noted that some officials use data accuracy as an excuse to not publish information that could hold their departments to account. “There’s sometimes a reluctance to get data out from the civil service; and whilst we see many examples of people understanding the reasons why data has been put to use, I’d say the general default is still not pro-release”.
Other countries take a different view, however. Singapore, for example, publishes much less data than Britain, but has more of a push on making its data accurate to assist startups and app builders….(More)”

“Smart” Cities and the Urban Digital Revolution


Shawn DuBravac at Re/Code: “Smog, sewage and congestion are three of the hallmarks of contemporary urban living. But these downsides to city living are gradually becoming things of the past. City planners are finding new ways to address these inefficiencies, leveraging connected technology to create smarter hubs that work for city dwellers.
Welcome to the era of “smart” cities. Advances in wireless sensor systems, information and communication technology (ICT), and infrastructure allow cities to collect and curate huge amounts of data capable of sustaining and improving urban life thanks to the new and ever-growing web of connected technology: The Internet of Things (IoT).
Last year, Los Angeles became the first city in the world to synchronize its traffic lights — all 4,500 of them — reducing traffic time on major LA corridors by about 12 percent, according to the city’s Department of Transportation. In Singapore, city authorities are testing smart systems for managing parking and waste disposal to adjust to daily and weekly patterns. In New York City, mobile air pollution monitors help city leaders pinpoint those neighborhoods most affected by smog and pollutants, so residents can modify their commuting paths and preferred modes of transportation to avoid exposure to higher levels of pollution.
And cities across the U.S. — including Chicago, Seattle and Washington, D.C. — are hiring chief technology officers to oversee broad implementation of digital systems and technologies. As more and more city functions evolve from analog to digital, it makes sense for municipalities to put the improvement, functionality and security of those systems into one department. These city CTOs will quickly become indispensable cabinet positions….”

Singapore encourages use of private sector datasets


Charlene Chin at Future Gov:  “Singapore’s Infocomm Development Authority launched a data-sharing challenge to encourage the use of private sector datasets.

The Data Discovery Challenge, launched last week, aims to promote the combination of private and public datasets to develop products and services that can benefit businesses and the public.
The challenge will use Singapore’s new platform, the Federated Dataset Registry (FDSR), to share public and private sector datasets. According to IDA, many private datasets are residing in siloed servers, or can only be made available through cumbersome processes such as the use of CD-ROMs. The FDSR will enable users to use these private datasets that were previously unconnected.
“Currently, there is no coherent mechanism for users to easily discover private sector datasets made available from data providers across various [industries]”, IDA said.
The Data Discovery Challenge is open from the 11 December to 25 January next year. Participants will have to use datasets from the FDSR and integrate it with any public and private datasets to develop data visualisation tools, mobile or web applications….”

An Open Government Index: From Democracy to Efficiency to Innovation


New Report by Lindgren, Tony; Ekenberg, Love; Nouri, Jalal and Hansson, Karin: “Most research in research areas like E-government, E-participation and Open government assume a democratic norm. The concept of Open government, recently promoted by, e.g., The Obama administration and the European Commission is to a large extent based on a general liberal and deliberative ideology emphasizing transparency, participation and collaboration. The concept has also become of interest for states like China and Singapore. In this position paper we outline how to study the concept under different political discourses and suggest an Open government index that can be used to analyze the concept of open government under various settings. (More)”

Test-tube government


The Economist: “INCUBATORS, accelerators, garages, laboratories: the best big companies have had them for years. Whatever the moniker (The Economist once had one called “Project Red Stripe”), in most cases a select few workers are liberated from the daily grind and encouraged to invent the future. Now such innovation units are becoming de rigueur in the public sector too: Boston has an Office of New Urban Mechanics; Denmark has a MindLab; and Singapore has the more prosaically named PS21 Office.
These government laboratories provide a bridge between the public and private sectors. Sometimes governments simply copy what private firms are doing. MindLab is based on the Future Centre, the innovation unit of Skandia, a big insurance firm. Sometimes they get money and advice from private sources: the New Orleans Innovation Delivery Team is partly funded by Michael Bloomberg, the former mayor of New York city and one of America’s biggest media tycoons. Whatever the connection, these units plug the public sector into a new world. They are full of people talking about “disruption” and “iteration”.
The units also provide a connection with academia. Britain’s Behavioural Insights Team, originally based in the Cabinet Office, was the world’s first government outfit dedicated to applying the insights of behavioural economics to public policy (it was known as the “nudge unit”, after the book “Nudge”, by Richard Thaler and Cass Sunstein). David Halpern, the group’s head, says that its mission was to point out the “small details” of policy that can have big consequences (see Free Exchange). It persuaded, for instance, HM Revenue & Customs, Britain’s tax collection agency, to tweak the words of a routine letter to say that most people in the recipient’s local area had already paid their taxes. As a result, payment rates increased by five percentage points.
A new report published by Nesta, a British charity devoted to promoting innovation, and Bloomberg Philanthropies shows how popular these government innovation labs have become. They can be found in a striking variety of places, from developing countries such as Malaysia to rich countries like Finland, and in the offices of mayors as well as the halls of central government.
Whatever their location, the study suggests they go about things in similar ways, with a lot of emphasis on harnessing technology. The most popular idea is co-creation—getting one’s customers to help invent and improve products and services. Boston’s Office of New Urban Mechanics has produced a series of apps which provide citizens with a convenient way of reporting problems such as graffiti and pot holes (by taking a photograph and sending it to city hall, users provide it with evidence and GPS co-ordinates). The staff-suggestion scheme introduced by PS21 in Singapore has produced striking results: one air-force engineer came up with the idea of scanning aircraft for leaks with ultraviolet light, just as opticians scan the cornea for scratches….
The most striking thing about these institutions, however, is their willingness to experiment. Policymakers usually alternate between hostility to new ideas and determination to implement a new policy without bothering to try it out first. Innovation centres tend to be both more daring and happy to test things. Sitra, for instance, is experimenting with health kiosks in shopping centres which are staffed by nurses, provide routine care and stay open late and on weekends. The Centre for Social Innovation in Colombia has developed computer games which are designed to teach pre-teenagers to make sensible choices about everything from nutrition to gang membership. Sitra also tracks the progress of each project that it funds against its stated goals….”

Using twitter to get ground truth on floods


Interview with Floodtags founder Jurjen Wagemaker at Global Pulse: “…Twtitter has proved to be a fantastic flood monitor tool and we encourage people to share even more of their flood experiences on Twitter. Now the difficult part is, to create the right flood filters and enrichments, so that disaster managers only need to look at a fraction of the hundreds of thousands of observations coming in.

So we enrich and analyse all flood data in real-time, and present them in an understandable format through our web service. A good example is the water depth of a flood. It turns out that a large number of people both mention the flood depth as well as the location where they monitored it. Take for instance January 29th, 2014: out of the 360.000 tweets we collected on floods, 15.000 included water depth observations (see picture). Together with the Dutch water management institute Deltares (@arnejanvl) we are working to develop a sound interpretation framework for these observations to create real-time floodmaps. For reference, to make a reliable floodmap of the January 2013 flood took a total of nine days. This was thanks to the hard work of the disaster management office and the HOT team (Humanitarian OpenStreetMap Team)….
We will launch the site at the upcoming Data Innovation for Policy Makers conference in Bali. And from that date onwards you can use Floodtags to get realtime flood information in Indonesia. Just go to Floodtags.com and sign-up. Especially when it rains it can become quite interesting: you can search for different neighbourhoods and see what people tweeted and how deep the water is. There is also a realtime tweet density map and you can request tweet statistics (e.g. figure 5, where we compare flood tweets with flood response tweets) – and we have got so much more to come. “