Is artificial intelligence key to dengue prevention?


BreakDengue: “Dengue fever outbreaks are increasing in both frequency and magnitude. Not only that, the number of countries that could potentially be affected by the disease is growing all the time.

This growth has led to renewed efforts to address the disease, and a pioneering Malaysian researcher was recently recognized for his efforts to harness the power of big data and artificial intelligence to accurately predict dengue outbreaks.

Dr. Dhesi Baha Raja received the Pistoia Alliance Life Science Award at King’s College London in April of this year, for developing a disease prediction platform that employs technology and data to give people prior warning of when disease outbreaks occur.The medical doctor and epidemiologist has spent years working to develop AIME (Artificial Intelligence in Medical Epidemiology)…

it relies on a complex algorithm, which analyses a wide range of data collected by local government and also satellite image recognition systems. Over 20 variables such as weather, wind speed, wind direction, thunderstorm, solar radiation and rainfall schedule are included and analyzed. Population models and geographical terrain are also included. The ultimate result of this intersection between epidemiology, public health and technology is a map, which clearly illustrates the probability and location of the next dengue outbreak.

The ground-breaking platform can predict dengue fever outbreaks up to two or three months in advance, with an accuracy approaching 88.7 per cent and within a 400m radius. Dr. Dhesi has just returned from Rio de Janeiro, where the platform was employed in a bid to fight dengue in advance of this summer’s Olympics. In Brazil, its perceived accuracy was around 84 per cent, whereas in Malaysia in was over 88 per cent – giving it an average accuracy of 86.37 per cent.

The web-based application has been tested in two states within Malaysia, Kuala Lumpur, and Selangor, and the first ever mobile app is due to be deployed across Malaysia soon. Once its capability is adequately tested there, it will be rolled out globally. Dr. Dhesi’s team are working closely with mobile digital service provider Webe on this.

By making the app free to download, this will ensure the service becomes accessible to all, Dr Dhesi explains.
“With the web-based application, this could only be used by public health officials and agencies. We recognized the need for us to democratize this health service to the community, and the only way to do this is to provide the community with the mobile app.”
This will also enable the gathering of even greater knowledge on the possibility of dengue outbreaks in high-risk areas, as well as monitoring the changing risks as people move to different areas, he adds….(More)”

Refugees and the Technology of Exile


David Lepeska in Wilson Quaterly: “While working for a Turkish tech firm, Akil learned how to program for mobile phones, and decided to make a smartphone app to help Syrians get all the information they need to build new lives in Turkey. In early 2014, he and a friend launched Gherbtna, named for an Arabic word referring to the loneliness of foreign exile….

About one-tenth of the 2.7 million Syrians in Turkey live in refugee camps. The rest fend for themselves, mostly in big cities. Now that they look set to stay in Turkey for some time, their need to settle and build stable, secure lives is much more acute. This may explain why downloads of Gherbtna more than doubled in the past six months. “We started this project to help people, and when we have reached all Syrian refugees, to help them find jobs, housing, whatever they need to build a new life in Turkey, then we have achieved our goal,” said Akil. “Our ultimate dream for Gherbtna is to reach all refugees around the world, and help them.”

Humanity is currently facing its greatest refugee crisis since World War II, with more than 60 million people forced from their homes. Much has been written about their use of technology — how Google Maps, WhatsApp, Facebook, and other tools have proven invaluable to the displaced and desperate. But helping refugees find their way, connect with family, or read the latest updates about route closings is one thing. Enabling them to grasp minute legal details, find worthwhile jobs and housing, enroll their children in school, and register for visas and benefits when they don’t understand the local tongue is another.

Due to its interpretation of the 1951 Geneva Convention on refugees, Ankara does not categorize Syrians in Turkey as refugees, nor does it accord them the pursuant rights and advantages. Instead, it has given them the unusual legal status of temporary guests, which means that they cannot apply for asylum and that Turkey can send them back to their countries of origin whenever it likes. What’s more, the laws and processes that apply to Syrians have been less than transparent and have changed several times. Despite all this — or perhaps because of it — government outreach has been minimal. Turkey has spent some $10 billion on refugees, and it distributes Arabic-language brochures at refugee camps and in areas with many Syrian residents. Yet it has created no Arabic-language website, app, or other online tool to communicate the relevant laws, permits, and legal changes to Syrians and other refugees.

Independent apps targeting these hurdles have begun to proliferate. Gherbtna’s main competitor in Turkey is the recently launched Alfanus (“Lantern” in Arabic), which its Syrian creators call an “Arab’s Guide to Turkey.” Last year, Souktel, a Palestinian mobile solutions firm, partnered with the international arm of the American Bar Association to launch a text-message service that provides legal information to Arabic speakers in Turkey. Norway is running a competition to develop a game-based learning app to educate Syrian refugee children. German programmers created Germany Says Welcome and the similar Welcome App Dresden. And Akil’s tech firm, Namaa Solutions, recently launched Tarjemly Live, a live translation app for English, Arabic, and Turkish.

But the extent to which these technologies have succeeded — have actually helped Syrians adjust and build new lives in Turkey, in particular — is in doubt. Take Gherbtna. The app has nine tools, including Video, Laws, Alerts, Find a Job, and “Ask me.” It offers restaurant and job listings; advice on getting a residence permit, opening a bank account, or launching a business; and much more. Like Souktel, Gherbtna has partnered with the American Bar Association to provide translations of Turkish laws. The app has been downloaded about 50,000 times, or by about 5 percent of Syrians in Turkey. (It is safe to assume, however, that a sizable percentage of refugees do not have smartphones.) Yet among two dozen Gherbtna users recently interviewed in Gaziantep and Istanbul — two Turkish cities with the most dense concentration of Syrians — most found it lacking. Many appreciate Gherbtna’s one-stop-shop appeal, but find little cause to keep using it. ”…(More)”

Soon Your City Will Know Everything About You


Currently, the biggest users of these sensor arrays are in cities, where city governments use them to collect large amounts of policy-relevant data. In Los Angeles, the crowdsourced traffic and navigation app Waze collects data that helps residents navigate the city’s choked highway networks. In Chicago, an ambitious program makes public data available to startups eager to build apps for residents. The city’s 49th ward has been experimenting with participatory budgeting and online votingto take the pulse of the community on policy issues. Chicago has also been developing the “Array of Things,” a network of sensors that track, among other things, the urban conditions that affect bronchitis.

Edmonton uses the cloud to track the condition of playground equipment. And a growing number of countries have purpose-built smart cities, like South Korea’s high tech utopia city of Songdo, where pervasive sensor networks and ubiquitous computing generate immense amounts of civic data for public services.

The drive for smart cities isn’t restricted to the developed world. Rio de Janeiro coordinates the information flows of 30 different city agencies. In Beijing and Da Nang (Vietnam), mobile phone data is actively tracked in the name of real-time traffic management. Urban sensor networks, in other words, are also developing in countries with few legal protections governing the usage of data.

These services are promising and useful. But you don’t have to look far to see why the Internet of Things has serious privacy implications. Public data is used for “predictive policing” in at least 75 cities across the U.S., including New York City, where critics maintain that using social media or traffic data to help officers evaluate probable cause is a form of digital stop-and-frisk. In Los Angeles, the security firm Palantir scoops up publicly generated data on car movements, merges it with license plate information collected by the city’s traffic cameras, and sells analytics back to the city so that police officers can decide whether or not to search a car. In Chicago, concern is growing about discriminatory profiling because so much information is collected and managed by the police department — an agency with a poor reputation for handling data in consistent and sensitive ways. In 2015, video surveillance of the police shooting Laquan McDonald outside a Burger King was erased by a police employee who ironically did not know his activities were being digitally recorded by cameras inside the restaurant.

Since most national governments have bungled privacy policy, cities — which have a reputation for being better with administrative innovations — will need to fill this gap. A few countries, such as Canada and the U.K., have independent “privacy commissioners” who are responsible for advocating for the public when bureaucracies must decide how to use or give out data. It is pretty clear that cities need such advocates too.

What would Urban Privacy Commissioners do? They would teach the public — and other government staff — about how policy algorithms work. They would evaluate the political context in which city agencies make big data investments. They would help a city negotiate contracts that protect residents’ privacy while providing effective analysis to policy makers and ensuring that open data is consistently serving the public good….(more)”.

Real-Time Data Can Improve Traffic Management in Major Cities


World Bank: “Traffic management agencies and city planners will soon have access to real-time data to better manage traffic flows on the streets of Cebu City and Metro Manila.

Grab, The World Bank, and the Department of Transportation and Communications (DOTC) launched today the OpenTraffic initiative, which will help address traffic congestion and road safety challenges.

Grab is the leading ride-hailing platform in Southeast Asia and operates in 30 cities across six countries – Singapore, Indonesia, Philippines, Malaysia, Thailand, and Vietnam.

Grab and the World Bank have been developing free, open-source tools that translate Grab’s voluminous driver GPS data into traffic statistics, including speeds, flows, and intersection delays. These statistics power big data open source tools such as OpenTraffic, for analysing traffic speeds and flows, and DRIVER, for identifying road incident blackspots and improving emergency response. Grab and the World Bank plan to make OpenTraffic available to other Southeast Asian city governments in the near future.

“Using big data is one of the potential solutions to the challenges faced by our transport systems. Through this we can provide accurate, real-time information for initiatives that can help alleviate traffic congestion and improve road safety,” said DOTC Secretary Joseph Emilio A. Abaya.

Last month, the World Bank and DOTC helped train more than 200 government staff from the agency, the Philippine National Police (PNP), the Metro Manila Development Authority (MMDA), the Department of Public Works and Highways (DPWH), and the Cebu City Transportation Office on the use of the OpenTraffic platform….In the near future, traffic statistics derived through OpenTraffic will be fed into another application called “DRIVER” or Data for Road Incident Visualization, Evaluation, and Reporting for road incident recording and analysis. This application, developed by the World Bank, will help engineering units to prioritize crash-prone areas for interventions and improve emergency response….(More)”

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

Improving patient care by bridging the divide between doctors and data scientists


 at the Conversation: “While wonderful new medical discoveries and innovations are in the news every day, doctors struggle daily with using information and techniques available right now while carefully adopting new concepts and treatments. As a practicing doctor, I deal with uncertainties and unanswered clinical questions all the time….At the moment, a report from the National Academy of Medicine tells us, most doctors base most of their everyday decisions on guidelines from (sometimes biased) expert opinions or small clinical trials. It would be better if they were from multicenter, large, randomized controlled studies, with tightly controlled conditions ensuring the results are as reliable as possible. However, those are expensive and difficult to perform, and even then often exclude a number of important patient groups on the basis of age, disease and sociological factors.

Part of the problem is that health records are traditionally kept on paper, making them hard to analyze en masse. As a result, most of what medical professionals might have learned from experiences was lost – or at least was inaccessible to another doctor meeting with a similar patient.

A digital system would collect and store as much clinical data as possible from as many patients as possible. It could then use information from the past – such as blood pressure, blood sugar levels, heart rate and other measurements of patients’ body functions – to guide future doctors to the best diagnosis and treatment of similar patients.

Industrial giants such as Google, IBM, SAP and Hewlett-Packard have also recognized the potential for this kind of approach, and are now working on how to leverage population data for the precise medical care of individuals.

Collaborating on data and medicine

At the Laboratory of Computational Physiology at the Massachusetts Institute of Technology, we have begun to collect large amounts of detailed patient data in the Medical Information Mart in Intensive Care (MIMIC). It is a database containing information from 60,000 patient admissions to the intensive care units of the Beth Israel Deaconess Medical Center, a Boston teaching hospital affiliated with Harvard Medical School. The data in MIMIC has been meticulously scoured so individual patients cannot be recognized, and is freely shared online with the research community.

But the database itself is not enough. We bring together front-line clinicians (such as nurses, pharmacists and doctors) to identify questions they want to investigate, and data scientists to conduct the appropriate analyses of the MIMIC records. This gives caregivers and patients the best individualized treatment options in the absence of a randomized controlled trial.

Bringing data analysis to the world

At the same time we are working to bring these data-enabled systems to assist with medical decisions to countries with limited health care resources, where research is considered an expensive luxury. Often these countries have few or no medical records – even on paper – to analyze. We can help them collect health data digitally, creating the potential to significantly improve medical care for their populations.

This task is the focus of Sana, a collection of technical, medical and community experts from across the globe that is also based in our group at MIT. Sana has designed a digital health information system specifically for use by health providers and patients in rural and underserved areas.

At its core is an open-source system that uses cellphones – common even in poor and rural nations – to collect, transmit and store all sorts of medical data. It can handle not only basic patient data such as height and weight, but also photos and X-rays, ultrasound videos, and electrical signals from a patient’s brain (EEG) and heart (ECG).

Partnering with universities and health organizations, Sana organizes training sessions (which we call “bootcamps”) and collaborative workshops (called “hackathons”) to connect nurses, doctors and community health workers at the front lines of care with technology experts in or near their communities. In 2015, we held bootcamps and hackathons in Colombia, Uganda, Greece and Mexico. The bootcamps teach students in technical fields like computer science and engineering how to design and develop health apps that can run on cellphones. Immediately following the bootcamp, the medical providers join the group and the hackathon begins…At the end of the day, though, the purpose is not the apps….(More)

An App to Save Syria’s Lost Generation? What Technology Can and Can’t Do


 in Foreign Affairs: ” In January this year, when the refugee and migrant crisis in Europe had hit its peak—more than a million had crossed into Europe over the course of 2015—the U.S. State Department and Google hosted a forum of over 100 technology experts. The goal was to “bridge the education gap for Syrian refugee children.” Speaking to the group assembled at Stanford University, Deputy Secretary of State Antony Blinken announced a $1.7 million prize “to develop a smartphone app that can help Syrian children learn how to read and improve their wellbeing.” The competition, known as EduApp4Syria, is being run by the Norwegian Agency for Development Cooperation (Norad) and is supported by the Australian government and the French mobile company Orange.

Less than a month later, a group called Techfugees brought together over 100 technologists for a daylong brainstorm in New York City focused exclusively on education solutions. “We are facing the largest refugee crisis since World War II,” said U.S. Ambassador to the United Nations Samantha Power to open the conference. “It is a twenty-first-century crisis and we need a twenty-first-century solution.” Among the more promising, according to Power, were apps that enable “refugees to access critical services,” new “web platforms connecting refugees with one another,” and “education programs that teach refugees how to code.”

For example, the nonprofit PeaceGeeks created the Services Advisor app for the UN Refugee Agency, which maps the location of shelters, food distribution centers, and financial services in Jordan….(More)”

Building Data Responsibility into Humanitarian Action


Stefaan Verhulst at The GovLab: “Next Monday, May 23rd, governments, non-profit organizations and citizen groups will gather in Istanbul at the first World Humanitarian Summit. A range of important issues will be on the agenda, not least of which the refugee crisis confronting the Middle East and Europe. Also on the agenda will be an issue of growing importance and relevance, even if it does not generate front-page headlines: the increasing potential (and use) of data in the humanitarian context.

To explore this topic, a new paper, “Building Data Responsibility into Humanitarian Action,” is being released today, and will be presented tomorrow at the Understanding Risk Forum. This paper is the result of a collaboration between the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), The GovLab (NYU Tandon School of Engineering), the Harvard Humanitarian Initiative, and Leiden UniversityCentre for Innovation. It seeks to identify the potential benefits and risks of using data in the humanitarian context, and begins to outline an initial framework for the responsible use of data in humanitarian settings.

Both anecdotal and more rigorously researched evidence points to the growing use of data to address a variety of humanitarian crises. The paper discusses a number of data risk case studies, including the use of call data to fight Malaria in Africa; satellite imagery to identify security threats on the border between Sudan and South Sudan; and transaction data to increase the efficiency of food delivery in Lebanon. These early examples (along with a few others discussed in the paper) have begun to show the opportunities offered by data and information. More importantly, they also help us better understand the risks, including and especially those posed to privacy and security.

One of the broader goals of the paper is to integrate the specific and the theoretical, in the process building a bridge between the deep, contextual knowledge offered by initiatives like those discussed above and the broader needs of the humanitarian community. To that end, the paper builds on its discussion of case studies to begin establishing a framework for the responsible use of data in humanitarian contexts. It identifies four “Minimum Humanitarian standards for the Responsible use of Data” and four “Characteristics of Humanitarian Organizations that use Data Responsibly.” Together, these eight attributes can serve as a roadmap or blueprint for humanitarian groups seeking to use data. In addition, the paper also provides a four-step practical guide for a data responsibility framework (see also earlier blog)….(More)” Full Paper: Building Data Responsibility into Humanitarian Action

Crowdsourcing corruption in India’s maternal health services


Joan Okitoi-Heisig at DW Akademie: “…The Mera Swasthya Meri Aawaz (MSMA) project is the first of its kind in India to track illicit maternal fees demanded in government hospitals located in the northern state of Uttar Pradesh.

MSMA (“My Health, My Voice”) is part of SAHAYOG, a non-governmental umbrella organization that helped launch the project. MSMA uses an Ushahidi platform to map and collect data on unofficial fees that plague India’ ostensibly “free” maternal health services. It is one of the many projects showcased in DW Akademie’s recently launched Digital Innovation Library. SAHAYOG works closely with grassroots organizations to promote gender equality and women’s health issues from a human rights perspective…

SAYAHOG sees women’s maternal health as a human rights issue. Key to the MSMA project is exposing government facilities that extort bribes from among the poorest and most vulnerable in society.

Sandhya and her colleagues are convinced that promoting transparency and accountability through the data collected can empower the women. If they’re aware of their entitlements, she says, they can demand their rights and in the process hold leaders accountable.

“Information is power,” Sandhya explains. Without this information, she says, “they aren’t in a position to demand what is rightly theirs.”

Health care providers hold a certain degree of power when entrusted with taking care of expectant mothers. Many give into bribes for fear of being otherwise neglected or abused.

With the MSMA project, however, poor rural women have technology that is easy to use and accessible on their mobile phones, and that empowers them to make complaints and report bribes for services that are supposed to be free.

MSMA is an innovative data-driven platform that combines a toll free number, an interactive voice response system (IVRS) and a website that contains accessible reports. In addition to enabling poor women to air their frustrations anonymously, the project aggregates actionable data which can then be used by the NGO as well as the government to work towards improving the situation for mothers in India….(More)”

Society’s biggest problems need more than a nudge


 at the Conversation: “So-called “nudge units” are popping up in governments all around the world.

The best-known examples include the U.K.’s Behavioural Insights Team, created in 2010, and the White House-based Social and Behavioral Sciences Team, introduced by the Obama administration in 2014. Their mission is to leverage findings from behavioral science so that people’s decisions can be nudged in the direction of their best intentions without curtailing their ability to make choices that don’t align with their priorities.

Overall, these – and other – governments have made important strides when it comes to using behavioral science to nudge their constituents into better choices.

Yet, the same governments have done little to improve their own decision-making processes. Consider big missteps like the Flint water crisis. How could officials in Michigan decide to place an essential service – safe water – and almost 100,000 people at risk in order to save US$100 per day for three months? No defensible decision-making process should have allowed this call to be made.

When it comes to many of the big decisions faced by governments – and the private sector – behavioral science has more to offer than simple nudges.

Behavioral scientists who study decision-making processes could also help policy-makers understand why things went wrong in Flint, and how to get their arms around a wide array of society’s biggest problems – from energy transitions to how to best approach the refugee crisis in Syria.

When nudges are enough

The idea of nudging people in the direction of decisions that are in their own best interest has been around for a while. But it was popularized in 2008 with the publication of the bestseller “Nudge“ by Richard Thaler of the University of Chicago and Cass Sunstein of Harvard.

A common nudge goes something like this: if we want to eat better but are having a hard time doing it, choice architects can reengineer the environment in which we make our food choices so that healthier options are intuitively easier to select, without making it unrealistically difficult to eat junk food if that’s what we’d rather do. So, for example, we can shelve healthy foods at eye level in supermarkets, with less-healthy options relegated to the shelves nearer to the floor….

Sometimes a nudge isn’t enough

Nudges work for a wide array of choices, from ones we face every day to those that we face infrequently. Likewise, nudges are particularly well-suited to decisions that are complex with lots of different alternatives to choose from. And, they are advocated in situations where the outcomes of our decisions are delayed far enough into the future that they feel uncertain or abstract. This describes many of the big decisions policy-makers face, so it makes sense to think the solution must be more nudge units.

But herein lies the rub. For every context where a nudge seems like a realistic option, there’s at least another context where the application of passive decision support would be either be impossible – or, worse, a mistake.

Take, for example, the question of energy transitions. These transitions are often characterized by the move from infrastructure based on fossil fuels to renewables to address all manner of risks, including those from climate change. These are decisions that society makes infrequently. They are complex. And, the outcomes – which are based on our ability to meet conflicting economic, social and environmental objectives – will be delayed.

But, absent regulation that would place severe restrictions on the kinds of options we could choose from – and which, incidentally, would violate the freedom-of-choice tenet of choice architecture – there’s no way to put renewable infrastructure options at proverbial eye level for state or federal decision-makers, or their stakeholders.

Simply put, a nudge for a decision like this would be impossible. In these cases, decisions have to be made the old-fashioned way: with a heavy lift instead of a nudge.

Complex policy decisions like this require what we call active decision support….(More)”