If you build it… will they come?


Laura Bacon at Omidyar Network: “What do datasets on Danish addresses, Indonesian elections, Singapore Dengue Fever, Slovakian contracts, Uruguayan health service provision, and Global weather systems have in common? Read on to learn more…

On May 12, 2016, more than 40 nations’ leaders gathered in London for an Anti-Corruption Summit, convened by UK Prime Minister David Cameron. Among the commitments made, 40 countries pledged to make their procurement processes open by default, with 14 countries specifically committing to publish to the Open Contracting Data Standard.

This conference and these commitments can be seen as part of a larger global norm toward openness and transparency, also embodied by the Open Government Partnership, Open Data Charter, and increasing numbers of Open Data Portals.

As government data is increasingly published openly in the public domain, valid questions have been raised about what impact the data will have: As governments release this data, will it be accessed and used? Will it ultimately improve lives, root out corruption, hold answers to seemingly intractable problems, and lead to economic growth?*

Omidyar Network — having supported several Open Data organizations and platforms such as Open Data Institute, Open Knowledge, and Web Foundation — sought data-driven answers to these questions. After a public call for proposals, we selected NYU’s GovLab to conduct research on the impact open data has already had. Not the potential or prospect of impact, but past proven impact. The GovLab research team, led by Stefaan Verhulst, investigated a variety of sectors — health, education, elections, budgets, contracts, etc. — in a variety of locations, spanning five continents.

Their findings are promising and exciting, demonstrating that open data is changing the world by empowering people, improving governance, solving public problems, and leading to innovation. A summary is contained in thisKey Findings report, and is accompanied by many open data case studies posted in this Open Data Impact Repository.

Of course, stories such as this are not 100% rosy, and the report is clear about the challenges ahead. There are plenty of cases in which open data has had minimal impact. There are cases where there was negative impact. And there are obstacles to open data reaching its full potential: namely, open data projects that don’t respond to citizens’ questions and needs, a lack of technical capacity on either the data provider and data user side, inadequate protections for privacy and security, and a shortage of resources.

But this research holds good news: Danish addresses, Indonesian elections,Singapore Dengue Fever, Slovakian contracts, Uruguayan health service provision, Global weather systems, and others were all opened up. And all changed the world by empowering citizens, improving governance, solving public problems, and leading to innovation. Please see this report for more….(More)”

See also odimpact.org

Jakarta’s plans for predictive government


 at GovInsider: “Jakarta is predicting floods and traffic using complaints data, and plans to do so for dengue as well.

Its Smart City Unit has partnered with startup Qlue to build a dashboard, analysing data from online complaints, sensors and traffic apps. “Our algorithms can predict several things related to our reports such as flood, traffic, and others”, Qlue co-founder and CEO Rama Raditya told GovInsider.

Take floods, for instance. Using trends in complaints from citizens, water level history from sensors and weather data, it can predict the intensity of floods in specific locations next year. “They can predict what will happen when they compare the weather with the flood conditions from last year”, he said.

The city will start to predict dengue hotspots from next year, Rama said. The dashboard was not originally looking at dengue, but after receiving “thousands of complaints on dengue locations”, the government is now looking into this data. “Next year our algorithm will allow the government to know before it happens so they can prepare the amount of medication and so on within each district,” he said.

The dashboard is paired with an app. The app started with collecting citizens’ complaints and has been expanding with new features. It now has a virtual reality section to explore tourist sites in the city. Next week it is launching an augmented reality feature giving directions to nearby ATMs, restaurants,mosques and parks, Rama said.

Qlue has become a strategic part of the Jakarta administration, with the Governor himself using it to decide who to fire and promote. Following its rise in the capital city, it is now being used by 12 other cities across Indonesia: Bandung, Makassar, Bali, Manado, Surabaya, Bogor, Depok, Palembang, Bekasi,Yogyakarta, Riau and Semarang….(More)

Open Data Supply: Enriching the usability of information


Report by Phoensight: “With the emergence of increasing computational power, high cloud storage capacity and big data comes an eager anticipation of one of the biggest IT transformations of our society today.

Open data has an instrumental role to play in our digital revolution by creating unprecedented opportunities for governments and businesses to leverage off previously unavailable information to strengthen their analytics and decision making for new client experiences. Whilst virtually every business recognises the value of data and the importance of the analytics built on it, the ability to realise the potential for maximising revenue and cost savings is not straightforward. The discovery of valuable insights often involves the acquisition of new data and an understanding of it. As we move towards an increasing supply of open data, technological and other entrepreneurs will look to better utilise government information for improved productivity.

This report uses a data-centric approach to examine the usability of information by considering ways in which open data could better facilitate data-driven innovations and further boost our economy. It assesses the state of open data today and suggests ways in which data providers could supply open data to optimise its use. A number of useful measures of information usability such as accessibility, quantity, quality and openness are presented which together contribute to the Open Data Usability Index (ODUI). For the first time, a comprehensive assessment of open data usability has been developed and is expected to be a critical step in taking the open data agenda to the next level.

With over two million government datasets assessed against the open data usability framework and models developed to link entire country’s datasets to key industry sectors, never before has such an extensive analysis been undertaken. Government open data across Australia, Canada, Singapore, the United Kingdom and the United States reveal that most countries have the capacity for improvements in their information usability. It was found that for 2015 the United Kingdom led the way followed by Canada, Singapore, the United States and Australia. The global potential of government open data is expected to reach 20 exabytes by 2020, provided governments are able to release as much data as possible within legislative constraints….(More)”

The Open Data Barometer (3rd edition)


The Open Data Barometer: “Once the preserve of academics and statisticians, data has become a development cause embraced by everyone from grassroots activists to the UN Secretary-General. There’s now a clear understanding that we need robust data to drive democracy and development — and a lot of it.

Last year, the world agreed the Sustainable Development Goals (SDGs) — seventeen global commitments that set an ambitious agenda to end poverty, fight inequality and tackle climate change by 2030. Recognising that good data is essential to the success of the SDGs, the Global Partnership for Sustainable Development Data and the International Open Data Charter were launched as the SDGs were unveiled. These alliances mean the “data revolution” now has over 100 champions willing to fight for it. Meanwhile, Africa adopted the African Data Consensus — a roadmap to improving data standards and availability in a region that has notoriously struggled to capture even basic information such as birth registration.

But while much has been made of the need for bigger and better data to power the SDGs, this year’s Barometer follows the lead set by the International Open Data Charter by focusing on how much of this data will be openly available to the public.

Open data is essential to building accountable and effective institutions, and to ensuring public access to information — both goals of SDG 16. It is also essential for meaningful monitoring of progress on all 169 SDG targets. Yet the promise and possibilities offered by opening up data to journalists, human rights defenders, parliamentarians, and citizens at large go far beyond even these….

At a glance, here are this year’s key findings on the state of open data around the world:

    • Open data is entering the mainstream.The majority of the countries in the survey (55%) now have an open data initiative in place and a national data catalogue providing access to datasets available for re-use. Moreover, new open data initiatives are getting underway or are promised for the near future in a number of countries, including Ecuador, Jamaica, St. Lucia, Nepal, Thailand, Botswana, Ethiopia, Nigeria, Rwanda and Uganda. Demand is high: civil society and the tech community are using government data in 93% of countries surveyed, even in countries where that data is not yet fully open.
    • Despite this, there’s been little to no progress on the number of truly open datasets around the world.Even with the rapid spread of open government data plans and policies, too much critical data remains locked in government filing cabinets. For example, only two countries publish acceptable detailed open public spending data. Of all 1,380 government datasets surveyed, almost 90% are still closed — roughly the same as in the last edition of the Open Data Barometer (when only 130 out of 1,290 datasets, or 10%, were open). What is more, much of the approximately 10% of data that meets the open definition is of poor quality, making it difficult for potential data users to access, process and work with it effectively.
    • “Open-washing” is jeopardising progress. Many governments have advertised their open data policies as a way to burnish their democratic and transparent credentials. But open data, while extremely important, is just one component of a responsive and accountable government. Open data initiatives cannot be effective if not supported by a culture of openness where citizens are encouraged to ask questions and engage, and supported by a legal framework. Disturbingly, in this edition we saw a backslide on freedom of information, transparency, accountability, and privacy indicators in some countries. Until all these factors are in place, open data cannot be a true SDG accelerator.
    • Implementation and resourcing are the weakest links.Progress on the Barometer’s implementation and impact indicators has stalled or even gone into reverse in some cases. Open data can result in net savings for the public purse, but getting individual ministries to allocate the budget and staff needed to publish their data is often an uphill battle, and investment in building user capacity (both inside and outside of government) is scarce. Open data is not yet entrenched in law or policy, and the legal frameworks supporting most open data initiatives are weak. This is a symptom of the tendency of governments to view open data as a fad or experiment with little to no long-term strategy behind its implementation. This results in haphazard implementation, weak demand and limited impact.
    • The gap between data haves and have-nots needs urgent attention.Twenty-six of the top 30 countries in the ranking are high-income countries. Half of open datasets in our study are found in just the top 10 OECD countries, while almost none are in African countries. As the UN pointed out last year, such gaps could create “a whole new inequality frontier” if allowed to persist. Open data champions in several developing countries have launched fledgling initiatives, but too often those good open data intentions are not adequately resourced, resulting in weak momentum and limited success.
    • Governments at the top of the Barometer are being challenged by a new generation of open data adopters. Traditional open data stalwarts such as the USA and UK have seen their rate of progress on open data slow, signalling that new political will and momentum may be needed as more difficult elements of open data are tackled. Fortunately, a new generation of open data adopters, including France, Canada, Mexico, Uruguay, South Korea and the Philippines, are starting to challenge the ranking leaders and are adopting a leadership attitude in their respective regions. The International Open Data Charter could be an important vehicle to sustain and increase momentum in challenger countries, while also stimulating renewed energy in traditional open data leaders….(More)”

The era of development mutants


Guilo Quaggiotto at Nesta: “If you were looking for the cutting edge of the development sector, where would you go these days? You would probably look at startups like Premise who have predicted food trends 25 days faster than national statistics in Brazil, or GiveDirectly who are pushing the boundaries on evidence – from RCTs to new ways of mapping poverty – to fast track the adoption of cash transfers.

Or perhaps you might draw your attention to PetaJakarta who are experimenting with new responses to crises by harnessing human sensor networks. You might be tempted to consider Airbnb’s Disaster Response programme as an indicator of an emerging alternative infrastructure for disaster response (and perhaps raising questions about the political economy of this all).

And could Bitnation’s Refugee Emergency programme in response to the European refugee crisis be the possible precursor of future solutions for transnational issues – among the development sector’s hardest challenges? Are the business models of One Acre Fund, which provides services for smallholder farmers, or Floodtags, which analyses citizen data during floods for water and disaster managers, an indicator of future pathways to scale – that elusive development unicorn?

If you want to look at the future of procuring solutions for the development sector, should you be looking at initiatives like Citymart, which works with municipalities across the world to rethink traditional procurement and unleash the expertise and innovation capabilities of their citizens? By the same token, projects like Pathogen Box, Poverty Stoplight or Patient Innovation point to a brave new world where lead-user innovation and harnessing ‘sticky’ local knowledge becomes the norm, rather than the exception. You would also be forgiven for thinking that social movements across the world are the place to look for signs of future mechanisms for harnessing collective intelligence – Kawal Pamilu’s “citizen experts” self-organising around the Indonesian elections in 2014 is a textbook case study in this department.

The list could go on and on: welcome to the era of development mutants. While established players in the development sector are engrossed in soul-searching and their fitness for purpose is being scrutinised from all quarters, a whole new set of players is emerging, unfettered by legacy and borrowing from a variety of different disciplines. They point to a potentially different future – indeed, many potentially different futures – for the sector…..

But what if we wanted to invert this paradigm? How could we move from denial to fruitful collaboration with the ‘edgeryders’ of the development sector and accelerate its transformation?

Adopting new programming principles

Based on our experience working with development organisations, we believe that partnering with the mutants involves two types of shifts for traditional players: at the programmatic and the operational level. At the programmatic level, our work on the ground led us to articulate the following emerging principles:

  1. Mapping what people have, not what they need: even though approaches like jugaad and positive deviance have been around for a long time, unfortunately the default starting point for many development projects is still mapping needs, not assets. Inverting this paradigm allows for potentially disruptive project design and partnerships to emerge. (Signs of the future: Patient Innovation, Edgeryders, Community Mirror, Premise)

  2. Getting ready for multiple futures: When distributed across an organisation and not limited to a centralised function, the discipline of scanning the horizon for emergent solutions that contradict the dominant paradigm can help move beyond the denial phase and develop new interfaces to collaborate with the mutants. Here the link between analysis (to understand not only what is probable, but also what is possible) and action is critical – otherwise this remains purely an academic exercise. (Signs of the future: OpenCare, Improstuctures, Seeds of Good Anthropocene, Museum of the Future)

  3. Running multiple parallel experiments: According to Dave Snowden, in order to intervene in a complex system “you need multiple parallel experiments and they should be based on different and competing theories/hypotheses”. Unfortunately, many development projects are still based on linear narratives and assumptions such as “if only we run an awareness raising campaign citizens will change their behaviour”. Turning linear narratives into hypotheses to be tested (without becoming religious on a specific approach) opens up the possibility to explore the solution landscape and collaborate with non-obvious partners that bring new approaches to the table. (Signs of the future: Chukua Hakua, GiveDirectly, Finnish PM’s Office of Experiments, Ideas42, Cognitive Edge)

  4. Embracing obliquity: A deep, granular understanding of local assets and dynamics along with system mapping (see point 5 below) and pairing behavioural experts with development practitioners can help identify entry points for exploring new types of intervention based on obliquity principles. Mutants are often faster in adopting this approach and partnering with them is a way to bypass organisational inertia and explore nonlinear interventions. (Signs of the future: Sardex, social prescriptions, forensic architecture)

  5. From projects to systems: development organisations genuinely interested in developing new partnerships need to make the shift from the project logic to system investments. This involves, among other things, shifting the focus from providing solutions to helping every actor in the system to develop a higher level of consciousness about the issues they are facing and to take better decisions over time. It also entails partnering with mutants to explore entirely new financial mechanisms. (Signs of the future: Lankelly Chase, Indonesia waste banks, Dark Matter Labs)

Adopting new interfaces for working with the mutants

Harvard Business School professor Carliss Baldwin argued that most bureaucracies these days have a ‘non-contractible’ problem: they don’t know where smart people are, or how to evaluate how good they are. Most importantly, most smart people don’t want to work for them because they find them either too callous, unrewarding or slow (or a combination of all of these)….(More)”

Mapping a flood of new data


Rebecca Lipman at Economist Intelligence Unit Perspectives on “One city tweets to stay dry: From drones to old-fashioned phone calls, data come from many unlikely sources. In a disaster, such as a flood or earthquake, responders will take whatever information they can get to visualise the crisis and best direct their resources. Increasingly, cities prone to natural disasters are learning to better aid their citizens by empowering their local agencies and responders with sophisticated tools to cut through the large volume and velocity of disaster-related data and synthesise actionable information.

Consider the plight of the metro area of Jakarta, Indonesia, home to some 28m people, 13 rivers and 1,100 km of canals. With 40% of the city below sea level (and sinking), and regularly subject to extreme weather events including torrential downpours in monsoon season, Jakarta’s residents face far-too-frequent, life-threatening floods. Despite the unpredictability of flooding conditions, citizens have long taken a passive approach that depended on government entities to manage the response. But the information Jakarta’s responders had on the flooding conditions was patchy at best. So in the last few years, the government began to turn to the local population for help. It helped.

Today, Jakarta’s municipal government is relying on the web-based PetaJakarta.org project and a handful of other crowdsourcing mobile apps such as Qlue and CROP to collect data and respond to floods and other disasters. Through these programmes, crowdsourced, time-sensitive data derived from citizens’ social-media inputs have made it possible for city agencies to more precisely map the locations of rising floods and help the residents at risk. In January 2015, for example, the web-based Peta Jakarta received 5,209 reports on floods via tweets with detailed text and photos. Anytime there’s a flood, Peta Jakarta’s data from the tweets are mapped and updated every minute, and often cross-checked by Jakarta Disaster Management Agency (BPBD) officials through calls with community leaders to assess the information and guide responders.

But in any city Twitter is only one piece of a very large puzzle. …

Even with such life-and-death examples, government agencies remain deeply protective of data because of issues of security, data ownership and citizen privacy. They are also concerned about liability issues if incorrect data lead to an activity that has unsuccessful outcomes. These concerns encumber the combination of crowdsourced data with operational systems of record, and impede the fast progress needed in disaster situations….Download the case study .”

The 4 Types of Cities and How to Prepare Them for the Future


John D. Macomber at Harvard Business Review: “The prospect of urban innovation excites the imagination. But dreaming up what a “smart city” will look like in some gleaming future is, by its nature, a utopian exercise. The messy truth is that cities are not the same, and even the most innovative approach can never achieve universal impact. What’s appealing for intellectuals in Copenhagen or Amsterdam is unlikely to help millions of workers in Jakarta or Lagos. To really make a difference, private entrepreneurs and civic entrepreneurs need to match projects to specific circumstances. An effective starting point is to break cities into four segments across two distinctions: legacy vs. new cities, and developed vs. emerging economies. The opportunities to innovate will differ greatly by segment.

Segment 1: Developed Economy, Legacy City
Examples: London, Detroit, Tokyo, Singapore

Characteristics: Any intervention in a legacy city has to dismantle something that existed before — a road or building, or even a regulatory authority or an entrenched service business. Slow demographic growth in developed economies creates a zero-sum situation (which is part of why the licensed cabs vs Uber/Lyft contest is so heated). Elites live in these cities, so solutions arise that primarily help users spend their excess cash. Yelp, Zillow, and Trip Advisor are examples of innovations in this context.
Implications for city leaders: Leaders should try to establish a setting where entrepreneurs can create solutions that improve quality of life — without added government expense. …

Implications for entrepreneurs: Denizens of developed legacy cities have discretionary income. …

Segment 2: Emerging Economy, Legacy City
Examples: Mumbai, São Paolo, Jakarta

Characteristics: Most physical and institutional structures are already in place in these megacities, but with fast-growing populations and severe congestion, there is an opportunity to create value by improving efficiency and livability, and there is a market of customers with cash to pay for these benefits.

Implications for city leaders: Leaders should loosen restrictions so that private finance can invest in improvements to physical infrastructure, to better use what already exists. …

Implications for entrepreneurs: Focus on public-private partnerships (PPP). …

Segment 3: Emerging Economy, New City
Examples: Phu My Hung, Vietnam; Suzhou, China; Astana, Kazakhstan; Singapore (historically)

Characteristics: These cities tend to have high population growth and high growth rates in GDP per capita, demographic and economic tailwinds that help to boost returns. The urban areas have few existing physical or social structures to dismantle as they grow, hence fewer entrenched obstacles to new offerings. There is also immediate ROI for investments in basic services as population moves in, because they capture new revenues from new users. Finally, in these cities there is an important chance to build it right the first time, notably with respect to the roads, bridges, water, and power that will determine both economic competitiveness and quality of life for decades. The downside? If this chance is missed, new urban agglomerations will be characterized by informal sprawl and new settlements will be hard to reach after the fact with power, roads, and sanitation.
Implications for city leaders: Leaders should first focus on building hard infrastructure that will support services such as schools, hospitals, and parks. …

Implications for entrepreneurs: In these cities, it’s too soon to think about optimizing existing infrastructure or establishing amusing ways for wealthy people to spend their disposable income. …

Segment 4: Developed Economy, New City
Examples and characteristics: Such cities are very rare. All the moment, almost all self-proclaimed “new cities” in the developed world are in fact large, integrated real-estate developments with an urban theme, usually in close proximity to a true municipality. Examples of these initiatives include New Songdo City in South Korea, Masdar City in Abu Dhabi, and Hafen City Hamburg in Germany.

Implications for city leaders: These satellites of existing metropolises compete for jobs and to attract talented participants in the creative economy. ….

Implications for entrepreneurs: Align with city leaders on services that are important to knowledge workers, and help build the cities’ brand. ….

Cities are different. So are solutions….(More)

Want To Complain To Cambodia’s Gov’t? There’s An App for That


Joshua Wilwohl in Forbes: “A new mobile and web application will help Cambodians better track complaints registered with local governments, but part of the app’s effectiveness hinges on whether the country’s leaders are receptive to the technology.

Known as Transmit, the app works by allowing selected government and grassroots leaders to enter in complaints made by citizens during routine community council meetings.

The app then sends the complaints to an online database. Once in the database, the government officials referenced by the issues can address them and indicate the status of the complaints.

The database is public and offers registered users the opportunity to comment on the complaints.

Currently, citizens register complaints with pen and paper or in a spreadsheet on an official’s computer….

Earlier this month, Pact began training officials in Pursat province to use the app and will expand training this week to local governments and community-based organizations in Kampong Cham, Battambang and Mondulkiri provinces, saidCenter.

But the app relies on government officials using the technology to keep the community informed about the progress of the complaints—a task that may be easier said than done in a country that is well-documented for its lack of transparency…(More)”

Sticky-note strategy: How federal innovation labs borrow from Silicon Valley


Carten Cordell in the Federal Times: “The framework for an integrated security solution in the Philippines is built on a bedrock of sticky notes. So is the strategy for combating piracy in East Africa and a handful of other plans that Zvika Krieger is crafting in a cauldron of collaboration within the State Department.

More specifically, Krieger, a senior adviser for strategy within the department’s Bureau of Political-Military Affairs, is working in the bureau’s Strategy Lab, just one pocket of federal government where a Silicon Valley-playbook for innovation is being used to develop policy solutions….

Krieger and a host of other policy thinkers learned a new way to channel innovation for policy solutions called human-centered design, or design thinking. While arguably new in government, the framework has long been in use by the tech sector to design products that will serve the needs of their customers. The strategy of group thinking towards a policy — which is more what these innovation labs seek to achieve — has been used before as well….Where the government has started to use HCD is in developing new policy solutions within a multifaceted group of stakeholders that can contribute a well-rounded slate of expertise. The product is a strategy that is developed from the creative thoughts of a team of experts, rather than a single specialized source….

The core tenet of HCD is to establish a meritocracy of ideas that is both empathetic of thought and immune to hierarchy. In order to get innovative solutions for a complex problem, Krieger forms a team of experts and stakeholders. He then mixes in outside thought leaders he calls “wild cards” to give the group outside perspective.

The delicate balance opens discussion and the mix of ideas ultimately form a strategy for handling the problem. That strategy might involve a technology; but it could also be a new partnership, a new function within an office, or a new acquisition program. Because the team is comprised of multiple experts, it can navigate the complexity more thoroughly, and the wild cards can offer their expertise to provide solutions the stakeholders may not have considered….

Human-centered design has been working its way through pockets of the federal government for a few years now. The Office of Personnel Management opened its Innovation Lab in 2012 and was tasked with improving the USAJobs website. The Department of Health and Human Services opened the IDEA Lab in 2013 to address innovation in its mission. The Department of Veteran Affairs has a Center of Innovation to identify new approaches to meet the current and future needs of veterans, and the departments of Defense and State both have innovation labs tackling policy solutions.

The concept is gaining momentum. This fall, the Obama administration released a strategy report calling for a network of innovation labs throughout federal agencies to develop new policy solutions through HCD.

“I think the word is spreading. It’s kind of like a whisper campaign, in the most positive way,” said an administration official with knowledge of innovation labs and HCD strategies, who was not authorized to speak to the press. “I think, again, the only constraint here is that we don’t have enough of them to be able to imbue this knowledge across government. We need many more people.”

A March 2014 GAO report said that the OPM Innovation Lab had not developed consistent performance targets that would allow it to assess the success of its projects. The report recommended more consistent milestones to assess progress, which the agency addressed through a series of pilot programs….

In the State Department’s Bureau of Educational and Cultural Affairs, an innovation lab called the Collaboratory is in its second year of existence, using HCD strategies to improve projects like the Fulbright program and other educational diplomacy efforts.

The Education Diplomacy initiative, for example, used HCD to devise ways to increase education access abroad using State resources. Defining U.S. embassies as the end user, the Collaboratory then analyzed the areas of need at the installations and began crafting policies.

“We identified a couple of area where we thought we could make substantial gains quite quickly and in a budget neutral way,” Collaboratory Deputy Director Paul Kruchoski said. The process allowed multiple stakeholders like the U.S. Agency for International Development, Peace Corps and the Department of Education to help craft the policy and create what Kruchoski called “feedback loops” to refine throughout the embassies…(More)”

 

Donating Your Selfies to Science


Linda Poon at CityLab: “It’s not only your friends and family who follow your online selfies and group photos. Scientists are starting to look at them, too, though they’re more interested in what’s around you. In bulk, photos can reveal weather patterns across multiple locations, air quality of a place over time, the dynamics of a neighborhood—all sorts of information that helps researchers study cities.

At the Nanyang Technological University in Singapore, a research group is using crowdsourced photos to create a low-cost alternative to air-pollution sensors. Called AirTick, the smartphone app they’ve designed will collect photos from users and analyze how hazy the environment looks. It’ll then check each image against official air quality data, and through machine-learning the app will eventually be able to predict pollution levels based on an image alone.

AirTick creator Pan Zhengziang said in a promotional video last month that the growing concern among the public over air quality can make programs like this a success—especially in Southeast Asia, where smog has gotten so bad that governments have had to shut down schools and suspend outdoor activities.  “In Singapore’s recent haze episode, around 250,000 people [have] shared their concerns via Twitter,” he said. “This has made crowdsourcing-based air quality monitoring a possibility.”…(More)”