Author: Stefaan Verhulst

How Artificial Intelligence Will Usher in the Next Stage of E-Government

Curated on Posted on by Stefaan Verhulst

Daniel Castro at GovTech: “Since the earliest days of the Internet, most government agencies have eagerly explored how to use technology to better deliver services to citizens, businesses and other public-sector organizations. Early on, observers recognized that these efforts often varied widely in their implementation, and so researchers developed various frameworks to describe the different stages of growth and development of e-government. While each model is different, they all identify the same general progression from the informational, for example websites that make government facts available online, to the interactive, such as two-way communication between government officials and users, to the transactional, like applications that allow users to access government services completely online.

However, we will soon see a new stage of e-government: the perceptive.

The defining feature of the perceptive stage will be that the work involved in interacting with government will be significantly reduced and automated for all parties involved. This will come about principally from the integration of artificial intelligence (AI) — computer systems that can learn, reason and decide at levels similar to that of a human — into government services to make it more insightful and intelligent.

Consider the evolution of the Department of Motor Vehicles. The informational stage made it possible for users to find the hours for the local office; the interactive stage made it possible to ask the agency a question by email; and the transactional stage made it possible to renew a driver’s license online.

In the perceptive stage, the user will simply say, “Siri, I need a driver’s license,” and the individual’s virtual assistant will take over — collecting any additional information from the user, coordinating with the government’s system and scheduling any in-person meetings automatically. That’s right: AI might finally end your wait at the DMV.

In general, there are at least three ways that AI will impact government agencies. First, it will enable government workers to be more productive since the technology can be used to automate many tasks. …

Second, AI will create a faster, more responsive government. AI enables the creation of autonomous, intelligent agents — think online chatbots that answer citizens’ questions, real-time fraud detection systems that constantly monitor government expenditures and virtual legislative assistants that quickly synthesize feedback from citizens to lawmakers.

Third, AI will allow people to interact more naturally with digital government services…(More)”

Artificial Intelligence Could Help Colleges Better Plan What Courses They Should Offer

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Jeffrey R. Young at EdSsurge: Big data could help community colleges better predict how industries are changing so they can tailor their IT courses and other programs. After all, if Amazon can forecast what consumers will buy and prestock items in their warehouses to meet the expected demand, why can’t colleges do the same thing when planning their curricula, using predictive analytics to make sure new degree or certificates programs are started just in time for expanding job opportunities?

That’s the argument made by Gordon Freedman, president of the nonprofit National Laboratory for Education Transformation. He’s part of a new center that will do just that, by building a data warehouse that brings together up-to-date information on what skills employers need and what colleges currently offer—and then applying artificial intelligence to attempt to predict when sectors or certain employment needs might be expanding.

He calls the approach “opportunity engineering,” and the center boasts some heavy-hitting players to assist in the efforts, including the University of Chicago, the San Diego Supercomputing Center and Argonne National Laboratory. It’s called the National Center for Opportunity Engineering & Analysis.

Ian Roark, vice president of workforce development at Pima Community College in Arizona, is among those eager for this kind of “opportunity engineering” to emerge.

He explains when colleges want to start new programs, they face a long haul—it takes time to develop a new curriculum, put it through an internal review, and then send it through an accreditor….

Other players are already trying to translate the job market into a giant data set to spot trends. LinkedIn sits on one of the biggest troves of data, with hundreds of millions of job profiles, and ambitions to create what it calls the “economic graph” of the economy. But not everyone is on LinkedIn, which attracts mainly those in white-collar jobs. And companies such as Burning Glass Technologies have scanned hundreds of thousands of job listings and attempt to provide real-time intelligence on what employers say they’re looking for. Those still don’t paint the full picture, Freedman argues, such as what jobs are forming at companies.

“We need better information from the employer, better information from the job seeker and better information from the college, and that’s what we’re going after,” Freedman says…(More)”.

‘Slacktivism’ that works: ‘Small changes’ matter

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 at The Conversation: “In 2013, an online petition persuaded a national organization representing high school coaches to develop materials to educate coaches about sexual assault and how they could help reduce assaults by their athletes. Online petitions have changed decisions by major corporations (ask Bank of America about its debit card fees) and affected decisions on policies as diverse as those related to survivors of sexual assault and local photography permitting requirements. Organizing and participating in these campaigns has also been personally meaningful to many.

But, a nostalgia for 1960s activism leads many to assume that “real” protest only happens on the street. Critics assume that classic social movement tactics such as rallies and demonstrations represent the only effective model for collectively pressing for change. Putting your body on the line and doing that collectively for decades is viewed as the only way “people power” works. Engaging online in “slacktivism” is a waste, making what cultural commentator Malcolm Gladwell has called “small change.”

This amounts to a debate over the “right way” to protest. And it’s bound to heat up: The election of Donald Trump is pushing many people who have not previously engaged in activism to look for ways to get involved; others are redoubling their efforts. People have a range of possible responses, including doing nothing, using online connections to mobilize and publicize support and protesting in the streets – or some combination of tactics.

As a social movement scholar and someone who believes we should leverage all assets in a challenge, I know that much social good can come from mass involvement – and research shows that includes online activism. The key to understanding the promise of what I prefer to call “flash activism” is considering the bigger picture, which includes all those people who care but are at risk of doing nothing….(More)”

Rethinking how we collect, share, and use development results data

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Development Gateway: “The international development community spends a great deal of time, effort, and money gathering data on thousands of indicators embedded in various levels of Results Frameworks. These data comprise outputs (school enrollment, immunization figures), program outcomes (educational attainment, disease prevalence), and, in some cases, impacts (changes in key outcomes over time).

Ostensibly, we use results data to allocate resources to the places, partners, and programs most likely to achieve lasting success. But is this data good enough – and is it used well enough – to genuinely increase development impact in priority areas?

Experience suggests that decision-makers at all levels may often face inadequate, incorrect, late, or incomplete results data. At the same time, a figurative “Tower of Babel” of both project-level M&E and program-level outcome data can make it difficult for agencies and organizations to share and use data effectively. Further, potential users may not have the skills, resources, or enabling environment to meaningfully analyze and apply results data to decisions. With these challenges in mind, the development community needs to re-think its investments in results data, making sure that the right users are able to collect, share, and use this information to maximum effect.

Our Initiative

To this end, Development Gateway (DG), with the support of the Bill & Melinda Gates Foundation, aims to “diagnose” the results data ecosystem in three countries, identifying ways to improve data quality, sharing, and use in the health and agriculture sectors. Some of our important questions include:

  • Quality: Who collects data and how? Is data quality adequate? Does the data meet actual needs? How much time does data collection demand? How can data collection, quality, and reporting be improved?
  • Sharing: How can we compare results data from different donors, governments, and implementers? Is there demand for comparability? Should data be shared more freely? If so, how?
  • Use: How is results data analyzed and used to inform actual policies and plans? Does (or can) access to results data improve decision-making? Do the right people have the right data? How else can (or should) we promote data use?…(More)”

Can you crowdsource water quality data?

Curated on Posted on by Stefaan Verhulst

Pratibha Mistry at The Water Blog (Worldbank): “The recently released Contextual Framework for Crowdsourcing Water Quality Data lays out a strategy for citizen engagement in decentralized water quality monitoring, enabled by the “mobile revolution.”

According to the WHO, 1.8 billion people lack access to safe drinking water worldwide. Poor source water quality, non-existent or insufficient treatment, and defects in water distribution systems and storage mean these consumers use water that often doesn’t meet the WHO’s Guidelines for Drinking Water Quality.

The crowdsourcing framework develops a strategy to engage citizens in measuring and learning about the quality of their own drinking water. Through their participation, citizens provide utilities and water supply agencies with cost-effective water quality data in near-real time. Following a typical crowdsourcing model: consumers use their mobile phones to report water quality information to a central service. That service receives the information, then repackages and shares it via mobile phone messages, websites, dashboards, and social media. Individual citizens can thus be educated about their water quality, and water management agencies and other stakeholders can use the data to improve water management; it’s a win-win.

A well-implemented crowdsourcing project both depends on and benefits end users.Source: Figure modified from Hutchings, M., Dev, A., Palaniappan, M., Srinivasan, V., Ramanathan, N., Taylor, J.  2012. “mWASH: Mobile Phone Applications for the Water, Sanitation, and Hygiene Sector.” Pacific Institute, Oakland, California.  114 p.  (Link to full text)

Several groups, from the private sector to academia to non-profits, have taken a recent interest in developing a variety of so-called mWASH apps (mobile phone applications for the water, sanitation, and hygiene WASH sector).  A recent academic study analyzed how mobile phones might facilitate the flow of water quality data between water suppliers and public health agencies in Africa. USAID has invested in piloting a mobile application in Tanzania to help consumers test their water for E. coli….(More)”

Tech is moving beyond cities to focus on civic engagement in every U.S. county

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 at TechCrunch: “While gridlock has taken hold in a paralyzed Washington, D.C. mayors across the country are taking a pragmatic approach to solving local problems and its time for tech to reach out to them….

The United States has 3,0007 counties. And all of them have an appetite to shift the momentum from the federal government to the communities where people live and work. This can’t just involve coastal cities or urban areas within states. Rather, after Trump’s election, now is the moment to redouble policy efforts in communities across the country from states to rural counties.

Cities from Chicago, Los Angeles, Boston, to New York have been leading the way to think about how to provide better services and engagement opportunities.  They’ve been exciting places where rich networks of talent from academia to philanthropy have been helping foster ecosystems to catalyze new policy solutions….

There are a host of illustrative experiments occurring across communities that are leveraging policy innovation, data, and technology for more responsive and inclusive governance. The engagements that work focus on process to ensure that diverse stakeholders are a part of decision making….

Wisconsin:

In Eau Claire, Wisconsin a local organization called Clear Vision is teaming up with stakeholders on a poverty summit to reduce the number of people living poverty in income insecurity and build more resilient and inclusive communities. Citizen action groups will work on key issues they identify as part of the engagement process.

A key component of this poverty summit is to bring in traditionally marginalized communities into the process including low-income households, rural poor, youth and black and Hispanic communities. There is even a community-supported, nonprofit journalism site to support the local work in Eau Claire, Chippewa, and Dunn counties….

Oregon:

In Oregon, a “Kitchen Table” is enabling residents from across the state to contribute ideas, resources, and feedback to inform public policy. The Kitchen Table enables public officials to consult with representatives about key policy areas, crowdfund, and micro-lend for local startups and community businesses….

Another practice in Oregon is the Citizens Initiative Review, where a representative sampling of citizens convenes for deliberations over several days to discuss state ballot measures.  After being established by the state’s bipartisan legislature in 2009, there have been six random representative samples of citizens for multi-day deliberations to draft voting guides written for the people, by their neighbors….

 

This requires tapping into existing networks and civic organizations, leveraging data, technology and policy innovations, and re-shifting our focus from federal policy towards building an infrastructure of governance that is durable through collective development and buy-in from people…(More)”

Introducing the Agricultural Open Data Package: BETA Version

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PressRelease: “GODAN, Open Data for Development (OD4D) Network, Open Data Charter, and the Open Data Institute are pleased to announce the release of the Agricultural Open Data Package: BETA version. …The Agriculture Open Data Package (http://AgPack.info) has been designed to help governments get to impact with open data in the agriculture sector. This practical resource provides key policy areas, key data categories, examples datasets, relevant interoperability initiatives, and use cases that policymakers and other stakeholders in the agriculture sector or open data should focus on, in order to address food security challenges.

The Package is meant as a source of inspiration and an invitation to start a national open data for agriculture initiative.

In the Package we identify fourteen key categories of data and discuss the effort it will take for a government to make this data available in a meaningful way. …

The Package also highlights more than ten use cases (the number is growing) demonstrating how open data is being harnessed to address sustainable agriculture and food security around the world. Examples include:

  • mapping water points to optimise scarce resource allocation in Burkina Faso

  • surfacing daily price information on multiple food commodities across India

  • benchmarking agricultural productivity in the Netherlands

Where relevant we also highlight applicable interoperability initiatives, such as open contracting, international aid transparency initiative (IATI), and global product classification (GPC) standards.

We recognise that the agriculture sector is diverse, with many contextual differences affecting scope of activities, priorities and capacities. In the full version of the Agricultural Open Data Package we discuss important implementation considerations such as inter-agency coordination and resourcing to develop an appropriate data infrastructure and a healthy data ‘ecosystem’ for agriculture….(More)”

Power To The People! (And Settings for Using It Wisely?)

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Public Agenda: “From its inception in Brazil in 1989, participatory budgeting (PB) has incorporated, to varying degrees, both direct and deliberative democracy.

In deliberative democracy, citizens become informed about an issue, talk about their concerns and goals, weigh different policy options and find common ground. They may give policy input to public officials, develop action ideas for implementation by other people and organizations or work to implement ideas themselves, or they may engage in some combination of the three. Advocates of deliberative democracy believe in the potential of citizens to be effective learners, advisors and volunteers.

In direct democracy, people have the opportunity to vote on policy questions through initiatives and referenda. Advocates of direct democracy believe in the potential of citizens to be effective public decision makers.

This white paper examines the extent to which North American PB processes are applying deliberative principles and practices, explore the tensions and challenges in making PB more deliberative, suggest questions for further research and offer recommendations for public officials and practitioners for improving their PB processes.

Boosting deliberative engagement in PB processes could have a variety of benefits for communities. First, higher levels of deliberation might produce greater empathy among citizens who hold different opinions or value different things about their communities—and greater understanding between residents and city staff. Second, more deliberative discussions would be more likely to bring to the surface issues of race, religion, class, immigration status and other differences that are always influential but seldom addressed in public life. Finally, the budget ideas produced might be more likely to represent compromises between different groups or opinions, and they might inspire greater efforts by participants to help implement them, beyond the decision to allocate public money.

PB organizers might improve the level and quality of deliberation in their processes in a number of ways:

1. Be more explicit about the importance of deliberation in the process…

2. Ensure participants have the chance to share their stories…

3. Connect the PB process to a broader discussion of city and/or district goals and priorities…

This report is the companion to “Brazil Has Reduced Inequality, Incrementally—Can We Do the Same?,” which focuses on the intersection of PB and economic inequality. Both draw on the data gathered by local PB researchers and by Public Agenda; on local evaluations of PB processes; and on interviews with public officials, also conducted by Public Agenda…(More)”.

Four steps to precision public health

Curated on Posted on by Stefaan Verhulst
Scott F. Dowell, David Blazes & Susan Desmond-Hellmann at Nature: “When domestic transmission of Zika virus was confirmed in the United States in July 2016, the entire country was not declared at risk — nor even the entire state of Florida. Instead, precise surveillance defined two at-risk areas of Miami-Dade County, neighbourhoods measuring just 2.6 and 3.9 square kilometres. Travel advisories and mosquito control focused on those regions. Six weeks later, ongoing surveillance convinced officials to lift restrictions in one area and expand the other.

By contrast, a campaign against yellow fever launched this year in sub-Saharan Africa defines risk at the level of entire nations, often hundreds of thousands of square kilometres. More granular assessments have been deemed too complex.

The use of data to guide interventions that benefit populations more efficiently is a strategy we call precision public health. It requires robust primary surveillance data, rapid application of sophisticated analytics to track the geographical distribution of disease, and the capacity to act on such information1.

The availability and use of precise data is becoming the norm in wealthy countries. But large swathes of the developing world are not reaping its advantages. In Guinea, it took months to assemble enough data to clearly identify the start of the largest Ebola outbreak in history. This should take days. Sub-Saharan Africa has the highest rates of childhood mortality in the world; it is also where we know the least about causes of death…..

The value of precise disease tracking was baked into epidemiology from the start. In 1854, John Snow famously located cholera cases in London. His mapping of the spread of infection through contaminated water dealt a blow to the idea that the disease was caused by bad air. These days, people and pathogens move across the globe swiftly and in great numbers. In 2009, the H1N1 ‘swine flu’ influenza virus took just 35 days to spread from Mexico and the United States to China, South Korea and 12 other countries…

The public-health community is sharing more data faster; expectations are higher than ever that data will be available from clinical trials and from disease surveillance. In the past two years, the US National Institutes of Health, the Wellcome Trust in London and the Gates Foundation have all instituted open data policies for their grant recipients, and leading journals have declared that sharing data during disease emergencies will not impede later publication.

Meanwhile, improved analysis, data visualization and machine learning have expanded our ability to use disparate data sources to decide what to do. A study published last year4 used precise geospatial modelling to infer that insecticide-treated bed nets were the single most influential intervention in the rapid decline of malaria.

However, in many parts of the developing world, there are still hurdles to the collection, analysis and use of more precise public-health data. Work towards malaria elimination in South Africa, for example, has depended largely on paper reporting forms, which are collected and entered manually each week by dozens of subdistricts, and eventually analysed at the province level. This process would be much faster if field workers filed reports from mobile phones.

Sources: Ref. 8/Bill & Melinda Gates Foundation

…Frontline workers should not find themselves frustrated by global programmes that fail to take into account data on local circumstances. Wherever they live — in a village, city or country, in the global south or north — people have the right to public-health decisions that are based on the best data and science possible, that minimize risk and cost, and maximize health in their communities…(More)”

How The Tech Community Mobilized To Help Refugees

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Steven Melendez at FastCompany: “Thousands of techies the world over have banded together to help refugees flooding Europe to stay connected.

The needs of the waves of migrants from Syria, Afghanistan, and other points—more than a million in 2015—go beyond just shelter, safety, and sustenance.

“You can imagine, crossing to a border or coming to a place you don’t know. Information needs are massive,” says Alyoscia D’Onofrio, senior director at the governance technical unit of the International Rescue Committee, which assists refugees and displaced people around the world.

“One of the big differences between this crisis response and many that have gone before is that you’re got probably a much tech-savvier population on the move and probably much better access to handsets and networks.”

Helping to connect those newcomers to information—and each other—is a group of 15,000 digital volunteers who call themselves the Techfugees.

“We are here not to solve the biggest problems of hygiene, water, clean energy because these are sectors that need a lot of expertise,” says Joséphine Goube, the CEO of the nonprofit that quickly came together last year.

Instead, often with the aid of smartphones many migrants and asylum seekers bring with them, the continent’s tech community aids refugees and asylum seekers in getting back online to find their footing in unfamiliar places….

The IRC has received substantial funding from tech companies to support its efforts, and individual tech workers have flocked to dozens of conferences and hackathons organized by Techfugees around the world since an initial conference in London last October.

“We were actually overwhelmed by the response to our conference,” says Goube, “It just went viral.”

Affiliates of the group have since helped provide infrastructure for refugees to connect to Wi-Fi—even in places with limited electricity—and energize their phones through solar-powered charging hubs. They’ve also developed websites and apps to teach new arrivals everything from basic coding skills that could help them earn a living to how to navigate government bureaucracies in their new countries.

“Things that seem very trivial to us can actually be very complicated,” says Vincent Olislagers, a member of a team developing an interactive chatbot called HealthIntelligence, which is designed to provide refugees in Norway with information about using the country’s health care system. The tool was developed after the team met with a recent arrival to the country who had difficulty arranging hospital transportation for his pregnant wife due to language barriers and financial constraints.

“He had to call, for his wife, his caretaker at the refugee center,” Olislagers says. “The caretaker had to send an ambulance at the right location.”

The team is working with Norwegian health officials and refugee aid groups to ultimately make the chatbot available as part of a standard package of materials provided to refugees entering the country. The project was a finalist in an October hackathon organized by Techfugees in Oslo. The hackathon’s ultimate winner was a group called KomInn, which pairs families fluent in Norwegian with newcomers who come to their homes to practice the language over dinner. That group developed a digital tool to streamline finding matches, which had previously been a laborious process, says Goube….(More)”

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