Sharing Private Data for Public Good

Curated on Posted on by Stefaan Verhulst

Stefaan G. Verhulst at Project Syndicate: “After Hurricane Katrina struck New Orleans in 2005, the direct-mail marketing company Valassis shared its database with emergency agencies and volunteers to help improve aid delivery. In Santiago, Chile, analysts from Universidad del Desarrollo, ISI Foundation, UNICEF, and the GovLab collaborated with Telefónica, the city’s largest mobile operator, to study gender-based mobility patterns in order to design a more equitable transportation policy. And as part of the Yale University Open Data Access project, health-care companies Johnson & Johnson, Medtronic, and SI-BONE give researchers access to previously walled-off data from 333 clinical trials, opening the door to possible new innovations in medicine.

These are just three examples of “data collaboratives,” an emerging form of partnership in which participants exchange data for the public good. Such tie-ups typically involve public bodies using data from corporations and other private-sector entities to benefit society. But data collaboratives can help companies, too – pharmaceutical firms share data on biomarkers to accelerate their own drug-research efforts, for example. Data-sharing initiatives also have huge potential to improve artificial intelligence (AI). But they must be designed responsibly and take data-privacy concerns into account.

Understanding the societal and business case for data collaboratives, as well as the forms they can take, is critical to gaining a deeper appreciation the potential and limitations of such ventures. The GovLab has identified over 150 data collaboratives spanning continents and sectors; they include companies such as Air France, Zillow, and Facebook. Our research suggests that such partnerships can create value in three main ways….(More)”.

This High-Tech Solution to Disaster Response May Be Too Good to Be True

Curated on Posted on by Stefaan Verhulst

Sheri Fink in The New York Times: “The company called One Concern has all the characteristics of a buzzy and promising Silicon Valley start-up: young founders from Stanford, tens of millions of dollars in venture capital and a board with prominent names.

Its particular niche is disaster response. And it markets a way to use artificial intelligence to address one of the most vexing issues facing emergency responders in disasters: figuring out where people need help in time to save them.

That promise to bring new smarts and resources to an anachronistic field has generated excitement. Arizona, Pennsylvania and the World Bank have entered into contracts with One Concern over the past year. New York City and San Jose, Calif., are in talks with the company. And a Japanese city recently became One Concern’s first overseas client.

But when T.J. McDonald, who works for Seattle’s office of emergency management, reviewed a simulated earthquake on the company’s damage prediction platform, he spotted problems. A popular big-box store was grayed out on the web-based map, meaning there was no analysis of the conditions there, and shoppers and workers who might be in danger would not receive immediate help if rescuers relied on One Concern’s results.

“If that Costco collapses in the middle of the day, there’s going to be a lot of people who are hurt,” he said.

The error? The simulation, the company acknowledged, missed many commercial areas because damage calculations relied largely on residential census data.

One Concern has marketed its products as lifesaving tools for emergency responders after earthquakes, floods and, soon, wildfires. But interviews and documents show the company has often exaggerated its tools’ abilities and has kept outside experts from reviewing its methodology. In addition, some product features are available elsewhere at no charge, and data-hungry insurance companies — whose interests can diverge from those of emergency workers — are among One Concern’s biggest investors and customers.

Some critics even suggest that shortcomings in One Concern’s approach could jeopardize lives….(More)”.

Guidance Note: Statistical Disclosure Control

Curated on Posted on by Stefaan Verhulst

Centre for Humanitarian Data: “Survey and needs assessment data, or what is known as ‘microdata’, is essential for providing adequate response to crisis-affected people. However, collecting this information does present risks. Even as great effort is taken to remove unique identifiers such as names and phone numbers from microdata so no individual persons or communities are exposed, combining key variables such as location or ethnicity can still allow for re-identification of individual respondents. Statistical Disclosure Control (SDC) is one method for reducing this risk. 

The Centre has developed a Guidance Note on Statistical Disclosure Control that outlines the steps involved in the SDC process, potential applications for its use, case studies and key actions for humanitarian data practitioners to take when managing sensitive microdata. Along with an overview of what SDC is and what tools are available, the Guidance Note outlines how the Centre is using this process to mitigate risk for datasets shared on HDX. …(More)”.

Stop Surveillance Humanitarianism

Curated on Posted on by Stefaan Verhulst

Mark Latonero at The New York Times: “A standoff between the United Nations World Food Program and Houthi rebels in control of the capital region is threatening the lives of hundreds of thousands of civilians in Yemen.

Alarmed by reports that food is being diverted to support the rebels, the aid program is demanding that Houthi officials allow them to deploy biometric technologies like iris scans and digital fingerprints to monitor suspected fraud during food distribution.

The Houthis have reportedly blocked food delivery, painting the biometric effort as an intelligence operation, and have demanded access to the personal data on beneficiaries of the aid. The impasse led the aid organization to the decision last month to suspend food aid to parts of the starving population — once thought of as a last resort — unless the Houthis allow biometrics.

With program officials saying their staff is prevented from doing its essential jobs, turning to a technological solution is tempting. But biometrics deployed in crises can lead to a form of surveillance humanitarianism that can exacerbate risks to privacy and security.

By surveillance humanitarianism, I mean the enormous data collection systems deployed by aid organizations that inadvertently increase the vulnerability of people in urgent need….(More)”.

AI & the sustainable development goals: The state of play

Curated on Posted on by Stefaan Verhulst

Report by 2030Vision: “…While the world is making progress in some areas, we are falling behind in delivering the SDGs overall. We need all actors – businesses, governments, academia, multilateral institutions, NGOs, and others – to accelerate and scale their efforts to deliver the SDGs, using every tool at their disposal, including artificial intelligence (AI).

In December 2017, 2030Vision published its first report, Uniting to Deliver Technology for the Global Goals, which addressed the role of digital technology – big data, robotics, internet of things, AI, and other technologies – in achieving the SDGs.

In this paper, we focus on AI for the SDGs. AI extends and amplifies the capacity of human beings to understand and solve complex, dynamic, and interconnected systems challenges like the SDGs. Our main objective was to survey the landscape of research and initiatives on AI and the SDGs to identify key themes and questions in need of further exploration. We also reviewed the state of AI and the SDGs in two sectors – food and agriculture and healthcare – to understand if and how AI is being deployed to address the SDGs and the challenges and opportunities in doing so….(More)”.

Open Urban Data and the Sustainable Development Goals

Curated on Posted on by Stefaan Verhulst

Conference Paper by Christine Meschede and Tobias Siebenlist: “Since the adoption of the United Nations’ Sustainable Development Goals (SDGs) in 2015 – an ambitious agenda to end poverty, combat environmental threats and ensure prosperity for everyone – some effort has been made regarding the adequate measuring of the progress on its targets. As the crucial point is the availability of sufficient, comparable information, open data can play a key role. The coverage of open data, i.e., data that is machine-readable, freely available and reusable for everyone, is assessed by several measurement tools. We propose the use of open governmental data to make the achievement of SDGs easy and transparent to measure. For this purpose, a mapping of the open data categories to the SDGs is presented. Further, we argue that the SDGs need to be tackled in particular at the city level. For analyzing the current applicability of open data for measuring progress on the SDGs, we provide a small-scale case study on German open data portals and the embedded data categories and datasets. The results suggest that further standardization is needed in order to be able to use open data for comparing cities and their progress towards the SDGs….(More)”.

Crowdsourcing and Crisis Mapping in Complex Emergencies

Curated on Posted on by Stefaan Verhulst

Guidance paper by Andrew Skuse: “…examines the use of crowdsourcing and crisis mapping during complex emergencies. Crowdsourcing is a process facilitated by new information and communication technologies (ICTs), social media platforms and dedicated software programs. It literally seeks the help of ‘the crowd’, volunteers or the general public, to complete a series of specific tasks such as data collection, reporting, document contribution and so on. Crowdsourcing is important in emergency situations because it allows for a critical link to be forged between those affected by an emergency and those who are responding to it. Crowdsourcing is often used by news organisations to gather information, i.e. citizen journalism, as well as by organisations concerned with emergencies and humanitarian aid, i.e. International Committee of the Red Cross, the Standby Task Force and CrisisCommons. Here, crowdsourced data on voting practices and electoral violence, as well as the witnessing of human rights contraventions are helping to improve accountability and transparency in fragile or conflict-prone states. Equally, crowdsourcing facilitates the sharing of individual and collective experiences, the gathering of specialized knowledge, the undertaking of collective mapping tasks and the engagement of the public through ‘call-outs’ for information…(More)”.