Civic Tech & GovTech: An Overlooked Lucrative Opportunity for Technology Startups


Elena Mesropyan at LTP: “Civic technology, or Civic Tech, is defined as a technology that enables greater participation in government or otherwise assists government in delivering citizen services and strengthening ties with the public. In other words, Civic Tech is where the public lends its talents, usually voluntarily, to help government do a better job. Moreover, Omidyar Network(which invested over $90 million across 35 civic tech organizations over the past decade) emphasizes that like a movement, civic tech is mission-driven, focused on making a change that benefits the public, and in most cases enables better public input into decision making.

As an emerging sector, Civic Tech is defined as incorporating any technology that is used to empower citizens or help make government more accessible, efficient, and effective. Civic tech isn’t just talk, Omidyar notes, it is a community of people coming together to create tangible projects and take action. The civic tech and open data movements have grown with the ubiquity of personal technology.

Civic tech can be defined as a convergence of various fields. An example of such convergence has been given by Knight Foundation, a national foundation with a goal to foster informed and engaged communities to power a healthy democracy:

Civic Tech & GovTech: An Overlooked Lucrative Opportunity for Technology Startups

Source: The Emergence of Civic Tech: Investments in a Growing Field

In the report called Engines of Change: What Civic Tech Can Learn From Social Movements, Civic Tech is divided into three categories:

  • Citizen to Citizen (C2C): Technology that improves citizen mobilization or improves connections between citizens
  • Citizen to Government (C2G): Technology that improves the frequency or quality of interaction between citizens and government
  • Government Technology (Govtech): Innovative technology solutions that make government more efficient and effective at service delivery

In 2015, Forbes reported that Civic Tech makes up almost a quarter of local and state government spendings on technology….

Civic tech initiatives address a diverse range of industries – from energy and payments to agriculture and telecommunications. Mattermark outlines the following top ten industries associated with government and civic tech:

…There are certainly much more examples of GovTech/civic tech companies, and just tech startups offering solutions across the board that can significantly improve the way governments are run, and services are delivered to citizens and businesses. More importantly, GovTech should no longer be considered a charity and solely non-profit type of venture. Recently reviewed global P2G payments flows only, for example, are estimated to be at $7.7 trillion and represent a significant feature of the global payments landscape. For the low- and lower-middle-income countries alone, the number hits $375 billion (~50% of annual government expenditure)….(More)”

Unbubble


Unbubble: “We all live in bubbles – communities of people from similar backgrounds who think similar things.

If we are going to work together, we need to get beyond these bubbles to understand what ALL of our fellow citizens are experiencing and thinking….

Unbubble is a cross-partisan, non-commercial, non-profit, non-ideological project. There is no special interest behind it – other than some private citizens who feel we need to get beyond our bubbles and talk to each other as Americans.

The idea emerged from a group of friends/colleagues from Arizona, Connecticut, Indiana, New York, Texas, Virginia and Washington who were talking about ways to strengthen our democracy. Once this founding team reaches a few dozen people from sufficiently diverse walks of life, we’ll announce all the names behind it.

….Unbubble will launch multiple conversation forums in which 100 people from different backgrounds can talk to each other about issues that concern them. You will be able to describe how your personal story informs your views on particular topics. …

We will ask participants to answer a few questions about their background, views and favorite sources of information. Our software will gather strangers from across the political and socio-economic spectrum in order to establish as many balanced 100-person “Unbubble” groups as we can. Each group should reflect the makeup of the adult American population overall….

We are hoping to strengthen our democracy. We feel Americans should be having difficult conversations about current issues and about what kind of future we are building. We are not trying to change anybody’s mind or prove that anybody is right or wrong. We expect the arguments will be heated, but we hope that Unbubble conversations help participants achieve greater understanding and empathy toward the views of different people. This may someday point the way to areas of common ground in local and national conversations on any topic….(More)”.

Can social media, loud and inclusive, fix world politics


 at the Conversation: “Privacy is no longer a social norm, said Facebook founder Mark Zuckerberg in 2010, as social media took a leap to bring more private information into the public domain.

But what does it mean for governments, citizens and the exercise of democracy? Donald Trump is clearly not the first leader to use his Twitter account as a way to both proclaim his policies and influence the political climate. Social media presents novel challenges to strategic policy, and has become a managerial issues for many governments.

But it also offers a free platform for public participation in government affairs. Many argue that the rise of social media technologies can give citizens and observers a better opportunity to identify pitfalls of government and their politics.

As government embrace the role of social media and the influence of negative or positive feedback on the success of their project, they are also using this tool to their advantages by spreading fabricated news.

This much freedom of expression and opinion can be a double-edged sword.

A tool that triggers change

On the positive side, social media include social networking applications such as Facebook and Google+, microblogging services such as Twitter, blogs, video blogs (vlogs), wikis, and media-sharing sites such as YouTube and Flickr, among others.

Social media as a collaborative and participatory tool, connects users with each other and help shaping various communities. Playing a key role in delivering public service value to citizens it also helps people to engage in politics and policy-making, making processes easier to understand, through information and communication technologies (ICTs).

Today four out of five countries in the world have social media features on their national portals to promote interactive networking and communication with the citizen. Although we don’t have any information about the effectiveness of such tools or whether they are used to their full potential, 20% of these countries shows that they have “resulted in new policy decisions, regulation or service”.

Social media can be an effective tool to trigger changes in government policies and services if well used. It can be used to prevent corruption, as it is direct method of reaching citizens. In developing countries, corruption is often linked to governmental services that lack automated processes or transparency in payments.

The UK is taking the lead on this issue. Its anti-corruption innovation hub aims to connect several stakeholders – including civil society, law enforcement and technologies experts – to engage their efforts toward a more transparent society.

With social media, governments can improve and change the way they communicate with their citizens – and even question government projects and policies. In Kazakhstan, for example, a migration-related legislative amendment entered into force early January 2017 and compelled property owners to register people residing in their homes immediately or else face a penalty charge starting in February 2017.

Citizens were unprepared for this requirement, and many responded with indignation on social media. At first the government ignored this reaction. However, as the growing anger soared via social media, the government took action and introduced a new service to facilitate the registration of temporary citizens….

But the campaigns that result do not always evolve into positive change.

Egypt and Libya are still facing several major crises over the last years, along with political instability and domestic terrorism. The social media influence that triggered the Arab Spring did not permit these political systems to turn from autocracy to democracy.

Brazil exemplifies a government’s failure to react properly to a massive social media outburst. In June 2013 people took to the streets to protest the rising fares of public transportation. Citizens channelled their anger and outrage through social media to mobilise networks and generate support.

The Brazilian government didn’t understand that “the message is the people”. Though the riots some called the “Tropical Spring” disappeared rather abruptly in the months to come, they had major and devastating impact on Brazil’s political power, culminating in the impeachment of President Rousseff in late 2016 and the worst recession in Brazil’s history.

As in the Arab Spring countries, the use of social media in Brazil did not result in economic improvement. The country has tumbled down into depression, and unemployment has risen to 12.6%…..

Government typically asks “how can we adapt social media to the way in which we do e-services, and then try to shape their policies accordingly. They would be wiser to ask, “how can social media enable us to do things differently in a way they’ve never been done before?” – that is, policy-making in collaboration with people….(More)”.

The Conversation

Better Jobs Information Benefits Everyone


Andrew Reamer in Issues: “Workers, employers, educators, and government officials all need access to more timely and more consistent middle-skills labor market data.

Economic growth and full employment require well-functioning labor markets—ones that enable workers to acquire skills that are in demand and employers to hire workers with necessary skills. Accurate and detailed information is essential to the functioning of a labor market that will make this possible.

To find a decent job in today’s economy, most workers need some level of specialized knowledge and skills, but it is not easy to figure out what specializations are in demand now and are likely to be needed in the future. Choosing poorly has long-term career consequences.

Unfortunately, the information needed to make good decisions, particularly concerning middle-skills jobs, either does not exist or is difficult to find. Neither Congress nor the executive branch has adequately fulfilled its responsibility to collect, organize, and make available reliable labor market information. A coordinated and adequately funded federal program to make this information available could provide enormous benefits to middle-skills workers and to employers as well as to a variety of other constituencies including students, educators, career and guidance counselors, state and federal policy makers, and researchers, all of whom play a role in creating an efficient labor market.

The needed information includes:

  • Occupational descriptions, including tasks performed and knowledge, skills, abilities, and training required.
  • Occupational demand and supply, current and projected, at the local, state, and national levels.
  • Employment outcomes of individual education and training programs and particular career pathways.
  • Extent of the match between existing talent pool and occupational and career options….(More)”.

UK’s Digital Strategy


Executive Summary: “This government’s Plan for Britain is a plan to build a stronger, fairer country that works for everyone, not just the privileged few. …Our digital strategy now develops this further, applying the principles outlined in the Industrial Strategy green paper to the digital economy. The UK has a proud history of digital innovation: from the earliest days of computing to the development of the World Wide Web, the UK has been a cradle for inventions which have changed the world. And from Ada Lovelace – widely recognised as the first computer programmer – to the pioneers of today’s revolution in artificial intelligence, the UK has always been at the forefront of invention. …

Maintaining the UK government as a world leader in serving its citizens online

From personalised services in health, to safer care for the elderly at home, to tailored learning in education and access to culture – digital tools, techniques and technologies give us more opportunities than ever before to improve the vital public services on which we all rely.

The UK is already a world leader in digital government,7 but we want to go further and faster. The new Government Transformation Strategy published on 9 February 2017 sets out our intention to serve the citizens and businesses of the UK with a better, more coherent experience when using government services online – one that meets the raised expectations set by the many other digital services and tools they use every day. So, we will continue to develop single cross-government platform services, including by working towards 25 million GOV.UK Verify users by 2020 and adopting new services onto the government’s GOV.UK Pay and GOV.UK Notify platforms.

We will build on the ‘Government as a Platform’ concept, ensuring we make greater reuse of platforms and components across government. We will also continue to move towards common technology, ensuring that where it is right we are consuming commodity hardware or cloud-based software instead of building something that is needlessly government specific.

We will also continue to work, across government and the public sector, to harness the potential of digital to radically improve the efficiency of our public services – enabling us to provide a better service to citizens and service users at a lower cost. In education, for example, we will address the barriers faced by schools in regions not connected to appropriate digital infrastructure and we will invest in the Network of Teaching Excellence in Computer Science to help teachers and school leaders build their knowledge and understanding of technology. In transport, we will make our infrastructure smarter, more accessible and more convenient for passengers. At Autumn Statement 2016 we announced that the National Productivity Investment Fund would allocate £450 million from 2018-19 to 2020-21 to trial digital signalling technology on the rail network. And in policing, we will enable police officers to use biometric applications to match fingerprint and DNA from scenes of crime and return results including records and alerts to officers over mobile devices at the crime scene.

Read more about digital government.

Unlocking the power of data in the UK economy and improving public confidence in its use

As part of creating the conditions for sustainable growth, we will take the actions needed to make the UK a world-leading data-driven economy, where data fuels economic and social opportunities for everyone, and where people can trust that their data is being used appropriately.

Data is a global commodity and we need to ensure that our businesses can continue to compete and communicate effectively around the world. To maintain our position at the forefront of the data revolution, we will implement the General Data Protection Regulation by May 2018. This will ensure a shared and higher standard of protection for consumers and their data.

Read more about data….(More)”

Facebook artificial intelligence spots suicidal users


Leo Kelion at BBC News: “Facebook has begun using artificial intelligence to identify members that may be at risk of killing themselves.

The social network has developed algorithms that spot warning signs in users’ posts and the comments their friends leave in response.

After confirmation by Facebook’s human review team, the company contacts those thought to be at risk of self-harm to suggest ways they can seek help.

A suicide helpline chief said the move was “not just helpful but critical”.

The tool is being tested only in the US at present.

It marks the first use of AI technology to review messages on the network since founder Mark Zuckerberg announced last month that he also hoped to use algorithms to identify posts by terrorists, among other concerning content.

Facebook also announced new ways to tackle suicidal behaviour on its Facebook Live broadcast tool and has partnered with several US mental health organisations to let vulnerable users contact them via its Messenger platform.

Pattern recognition

Facebook has offered advice to users thought to be at risk of suicide for years, but until now it had relied on other users to bring the matter to its attention by clicking on a post’s report button.

It has now developed pattern-recognition algorithms to recognise if someone is struggling, by training them with examples of the posts that have previously been flagged.

Talk of sadness and pain, for example, would be one signal.

Responses from friends with phrases such as “Are you OK?” or “I’m worried about you,” would be another.

Once a post has been identified, it is sent for rapid review to the network’s community operations team.

“We know that speed is critical when things are urgent,” Facebook product manager Vanessa Callison-Burch told the BBC.

The director of the US National Suicide Prevention Lifeline praised the effort, but said he hoped Facebook would eventually do more than give advice, by also contacting those that could help….

The latest effort to help Facebook Live users follows the death of a 14-year-old-girl in Miami, who livestreamed her suicide on the platform in January.

However, the company said it had already begun work on its new tools before the tragedy.

The goal is to help at-risk users while they are broadcasting, rather than wait until their completed video has been reviewed some time later….(More)”.

Denmark is appointing an ambassador to big tech


Matthew Hughes in The Next Web: “Question: Is Facebook a country? It sounds silly, but when you think about it, it does have many attributes in common with nation states. For starters, it’s got a population that’s bigger than that of India, and its 2016 revenue wasn’t too far from Estonia’s GDP. It also has a ‘national ethos’. If America’s philosophy is capitalism, Cuba’s is communism, and Sweden’s is social democracy, Facebook’s is ‘togetherness’, as corny as that may sound.

 Given all of the above, is it really any surprise that Denmark is considering appointing a ‘big tech ambassador’ whose job is to establish and manage the country’s relationship with the world’s most powerful tech companies?

Denmark’s “digital ambassador” is a first. No country has ever created such a role. Their job will be to liase with the likes of Google, Twitter, Facebook.

Given the fraught relationship many European countries have with American big-tech – especially on issues of taxation, privacy, and national security – Denmark’s decision to extend an olive branch seems sensible.

Speaking with the Washington Post, Danish Foreign Minister Anders Samuelsen said, “just as we engage in a diplomatic dialogue with countries, we also need to establish and prioritize comprehensive relations with tech actors, such as Google, Facebook, Apple and so on. The idea is, we see a lot of companies and new technologies that will in many ways involve and be part of everyday life of citizens in Denmark.”….(More)”

Big and open data are prompting a reform of scientific governance


Sabina Leonelli in Times Higher Education: “Big data are widely seen as a game-changer in scientific research, promising new and efficient ways to produce knowledge. And yet, large and diverse data collections are nothing new – they have long existed in fields such as meteorology, astronomy and natural history.

What, then, is all the fuss about? In my recent book, I argue that the true revolution is in the status accorded to data as research outputs in their own right. Along with this has come an emphasis on open data as crucial to excellent and reliable science.

Previously – ever since scientific journals emerged in the 17th century – data were private tools, owned by the scientists who produced them and scrutinised by a small circle of experts. Their usefulness lay in their function as evidence for a given hypothesis. This perception has shifted dramatically in the past decade. Increasingly, data are research components that can and should be made publicly available and usable.

Rather than the birth of a data-driven epistemology, we are thus witnessing the rise of a data-centric approach in which efforts to mobilise, integrate and visualise data become contributions to discovery, not just a by-product of hypothesis testing.

The rise of data-centrism highlights the challenges involved in gathering, classifying and interpreting data, and the concepts, technologies and social structures that surround these processes. This has implications for how research is conducted, organised, governed and assessed.

Data-centric science requires shifts in the rewards and incentives provided to those who produce, curate and analyse data. This challenges established hierarchies: laboratory technicians, librarians and database managers turn out to have crucial skills, subverting the common view of their jobs as marginal to knowledge production. Ideas of research excellence are also being challenged. Data management is increasingly recognised as crucial to the sustainability and impact of research, and national funders are moving away from citation counts and impact factors in evaluations.

New uses of data are forcing publishers to re-assess their business models and dissemination procedures, and research institutions are struggling to adapt their management and administration.

Data-centric science is emerging in concert with calls for increased openness in research….(More)”

Human Decisions and Machine Predictions


NBER Working Paper by Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainatha: “We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, judges must decide where defendants will await trial—at home or in jail. By law, this decision hinges on the judge’s prediction of what the defendant would do if released. This is a promising machine learning application because it is a concrete prediction task for which there is a large volume of data available. Yet comparing the algorithm to the judge proves complicated. First, the data are themselves generated by prior judge decisions. We only observe crime outcomes for released defendants, not for those judges detained. This makes it hard to evaluate counterfactual decision rules based on algorithmic predictions. Second, judges may have a broader set of preferences than the single variable that the algorithm focuses on; for instance, judges may care about racial inequities or about specific crimes (such as violent crimes) rather than just overall crime risk. We deal with these problems using different econometric strategies, such as quasi-random assignment of cases to judges. Even accounting for these concerns, our results suggest potentially large welfare gains: a policy simulation shows crime can be reduced by up to 24.8% with no change in jailing rates, or jail populations can be reduced by 42.0% with no increase in crime rates. Moreover, we see reductions in all categories of crime, including violent ones. Importantly, such gains can be had while also significantly reducing the percentage of African-Americans and Hispanics in jail. We find similar results in a national dataset as well. In addition, by focusing the algorithm on predicting judges’ decisions, rather than defendant behavior, we gain some insight into decision-making: a key problem appears to be that judges to respond to ‘noise’ as if it were signal. These results suggest that while machine learning can be valuable, realizing this value requires integrating these tools into an economic framework: being clear about the link between predictions and decisions; specifying the scope of payoff functions; and constructing unbiased decision counterfactuals….(More)”

How a Political Scientist Knows What Our Enemies Will Do (Often Before They Do)


Political scientists have now added rigorous mathematical techniques to their social-science toolbox, creating methods to explain—and even predict—the actions of adversaries, thus making society safer as well as smarter. Such techniques allowed the U.S. government to predict the fall of President Ferdinand Marcos of the Philippines in 1986, helping hatch a strategy to ease him out of office and avoid political chaos in that nation. And at Los Angeles International Airport a computer system predicts the tactical calculations of criminals and terrorists, making sure that patrols and checkpoints are placed in ways that adversaries can’t exploit.

The advances in solving the puzzle of human behavior represent a dramatic turnaround for the field of political science, notes Bruce Bueno de Mesquita, a professor of politics at New York University. “In the mid-1960s, I took a statistics course,” he recalls, “and my undergraduate advisor was appalled. He told me that I was wasting my time.” It took researchers many years of patient work, putting piece after piece of the puzzle of human behavior together, to arrive at today’s new knowledge. The result has been dramatic progress in the nation’s ability to protect its interests at home and abroad.

Social scientists have not abandoned the proven tools that Bueno de Mesquita and generations of other scholars acquired as they mastered their discipline. Rather, adding the rigor of mathematical analysis has allowed them to solve more of the puzzle. Mathematical models of human behavior let social scientists assemble a picture of the previously unnoticed forces that drive behavior—forces common to all situations, operating below the emotions, drama, and history that make each conflict unique….(More)”