Data-Driven Innovation: Big Data for Growth and Well-Being

Curated on Posted on by Stefaan Verhulst

“A new OECD report on data-driven innovation finds that countries could be getting much more out of data analytics in terms of economic and social gains if governments did more to encourage investment in “Big Data” and promote data sharing and reuse.

The migration of economic and social activities to the Internet and the advent of The Internet of Things – along with dramatically lower costs of data collection, storage and processing and rising computing power – means that data-analytics is increasingly driving innovation and is potentially an important new source of growth.

The report suggest countries act to seize these benefits, by training more and better data scientists, reducing barriers to cross-border data flows, and encouraging investment in business processes to incorporate data analytics.

Few companies outside of the ICT sector are changing internal procedures to take advantage of data. For example, data gathered by companies’ marketing departments is not always used by other departments to drive decisions and innovation. And in particular, small and medium-sized companies face barriers to the adoption of data-related technologies such as cloud computing, partly because they have difficulty implementing organisational change due to limited resources, including the shortage of skilled personnel.

At the same time, governments will need to anticipate and address the disruptive effects of big data on the economy and overall well-being, as issues as broad as privacy, jobs, intellectual property rights, competition and taxation will be impacted. Read the Policy Brief…

TABLE OF CONTENTS
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Preface
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Foreword
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Executive summary
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The phenomenon of data-driven innovation
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Mapping the global data ecosystem and its points of control
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How data now drive innovation
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Drawing value from data as an infrastructure
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Building trust for data-driven innovation
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Skills and employment in a data-driven economy
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Promoting data-driven scientific research
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The evolution of health care in a data-rich environment
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Cities as hubs for data-driven innovation
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Governments leading by example with public sector data
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Digital Research Confidential

Curated on Posted on by Stefaan Verhulst

New book edited by Eszter Hargittai and Christian Sandvig: “The realm of the digital offers both new methods of research and new objects of study. Because the digital environment for scholarship is constantly evolving, researchers must sometimes improvise, change their plans, and adapt. These details are often left out of research write-ups, leaving newcomers to the field frustrated when their approaches do not work as expected. Digital Research Confidentialoffers scholars a chance to learn from their fellow researchers’ mistakes—and their successes.

The book—a follow-up to Eszter Hargittai’s widely read Research Confidential—presents behind-the-scenes, nuts-and-bolts stories of digital research projects, written by established and rising scholars. They discuss such challenges as archiving, Web crawling, crowdsourcing, and confidentiality. They do not shrink from specifics, describing such research hiccups as an ethnographic interview so emotionally draining that afterward the researcher retreated to a bathroom to cry, and the seemingly simple research question about Wikipedia that mushroomed into years of work on millions of data points. Digital Research Confidential will be an essential resource for scholars in every field….(More)”

Open collaboration in the public sector: The case of social coding on GitHub

Curated on Posted on by Stefaan Verhulst

Paper by Ines Mergel at Government Information Quarterly: “Open collaboration has evolved as a new form of innovation creation in the public sector. Government organizations are using online platforms to collaborative create or contribute to public sector innovations with the help of external and internal problem solvers. Most recently the U.S. federal government has encouraged agencies to collaboratively create and share open source code on the social coding platform GitHub and allow third parties to share their changes to the code. A community of government employees is using the social coding site GitHub to share open source code for software and website development, distribution of data sets and research results, or to seek input to draft policy documents. Quantitative data extracted from GitHub’s application programming interface is used to analyze the collaboration ties between contributors to government repositories and their reuse of digital products developed on GitHub by other government entities in the U.S. federal government. In addition, qualitative interviews with government contributors in this social coding environment provide insights into new forms of co-development of open source digital products in the public sector….(More)”

Harnessing the Data Revolution for Sustainable Development

Curated on Posted on by Stefaan Verhulst

US State Department Fact Sheet on “U.S. Government Commitments and Collaboration with the Global Partnership for Sustainable Development Data”: “On September 27, 2015, the member states of the United Nations agreed to a set of Sustainable Development Goals (Global Goals) that define a common agenda to achieve inclusive growth, end poverty, and protect the environment by 2030. The Global Goals build on tremendous development gains made over the past decade, particularly in low- and middle-income countries, and set actionable steps with measureable indicators to drive progress. The availability and use of high quality data is essential to measuring and achieving the Global Goals. By harnessing the power of technology, mobilizing new and open data sources, and partnering across sectors, we will achieve these goals faster and make their progress more transparent.

Harnessing the data revolution is a critical enabler of the global goals—not only to monitor progress, but also to inclusively engage stakeholders at all levels – local, regional, national, global—to advance evidence-based policies and programs to reach those who need it most. Data can show us where girls are at greatest risk of violence so we can better prevent it; where forests are being destroyed in real-time so we can protect them; and where HIV/AIDS is enduring so we can focus our efforts and finish the fight. Data can catalyze private investment; build modern and inclusive economies; and support transparent and effective investment of resources for social good…..

The Global Partnership for Sustainable Development Data (Global Data Partnership), launched on the sidelines of the 70th United Nations General Assembly, is mobilizing a range of data producers and users—including governments, companies, civil society, data scientists, and international organizations—to harness the data revolution to achieve and measure the Global Goals. Working together, signatories to the Global Data Partnership will address the barriers to accessing and using development data, delivering outcomes that no single stakeholder can achieve working alone….The United States, through the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR), is joining a consortium of funders to seed this initiative. The U.S. Government has many initiatives that are harnessing the data revolution for impact domestically and internationally. Highlights of our international efforts are found below:

Health and Gender

• Country Data Collaboratives for Local Impact – PEPFAR and the Millennium Challenge Corporation(MCC) are partnering to invest $21.8 million in Country Data Collaboratives for Local Impact in sub-Saharan Africa that will use data on HIV/AIDS, global health, gender equality, and economic growth to improve programs and policies. Initially, the Country Data Collaboratives will align with and support the objectives of DREAMS, a PEPFAR, Bill & Melinda Gates Foundation, and Girl Effect partnership to reduce new HIV infections among adolescent girls and young women in high-burden areas.

• Measurement and Accountability for Results in Health (MA4Health) Collaborative – USAID is partnering with the World Health Organization, the World Bank, and over 20 other agencies, countries, and civil society organizations to establish the MA4Health Collaborative, a multi-stakeholder partnership focused on reducing fragmentation and better aligning support to country health-system performance and accountability. The Collaborative will provide a vehicle to strengthen country-led health information platforms and accountability systems by improving data and increasing capacity for better decision-making; facilitating greater technical collaboration and joint investments; and developing international standards and tools for better information and accountability. In September 2015, partners agreed to a set of common strategic and operational principles, including a strong focus on 3–4 pathfinder countries where all partners will initially come together to support country-led monitoring and accountability platforms. Global actions will focus on promoting open data, establishing common norms and standards, and monitoring progress on data and accountability for the Global Goals. A more detailed operational plan will be developed through the end of the year, and implementation will start on January 1, 2016.

• Data2X: Closing the Gender Gap – Data2X is a platform for partners to work together to identify innovative sources of data, including “big data,” that can provide an evidence base to guide development policy and investment on gender data. As part of its commitment to Data2X—an initiative of the United Nations Foundation, Hewlett Foundation, Clinton Foundation, and Bill & Melinda Gates Foundation—PEPFAR and the Millennium Challenge Corporation (MCC) are working with partners to sponsor an open data challenge to incentivize the use of gender data to improve gender policy and practice….(More)”

See also: Data matters: the Global Partnership for Sustainable Development Data. Speech by UK International Development Secretary Justine Greening at the launch of the Global Partnership for Sustainable Development Data.

Data Collaboratives: Sharing Public Data in Private Hands for Social Good

Curated on Posted on by Stefaan Verhulst

Beth Simone Noveck (The GovLab) in Forbes: “Sensor-rich consumer electronics such as mobile phones, wearable devices, commercial cameras and even cars are collecting zettabytes of data about the environment and about us. According to one McKinsey study, the volume of data is growing at fifty percent a year. No one needs convincing that these private storehouses of information represent a goldmine for business, but these data can do double duty as rich social assets—if they are shared wisely.

Think about a couple of recent examples: Sharing data held by businesses and corporations (i.e. public data in private hands) can help to improve policy interventions. California planners make water allocation decisions based upon expertise, data and analytical tools from public and private sources, including Intel, the Earth Research Institute at the University of California at Santa Barbara, and the World Food Center at the University of California at Davis.

In Europe, several phone companies have made anonymized datasets available, making it possible for researchers to track calling and commuting patterns and gain better insight into social problems from unemployment to mental health. In the United States, LinkedIn is providing free data about demand for IT jobs in different markets which, when combined with open data from the Department of Labor, helps communities target efforts around training….

Despite the promise of data sharing, these kind of data collaboratives remain relatively new. There is a need toaccelerate their use by giving companies strong tax incentives for sharing data for public good. There’s a need for more study to identify models for data sharing in ways that respect personal privacy and security and enable companies to do well by doing good. My colleagues at The GovLab together with UN Global Pulse and the University of Leiden, for example, published this initial analysis of terms and conditions used when exchanging data as part of a prize-backed challenge. We also need philanthropy to start putting money into “meta research;” it’s not going to be enough to just open up databases: we need to know if the data is good.

After years of growing disenchantment with closed-door institutions, the push for greater use of data in governing can be seen as both a response and as a mirror to the Big Data revolution in business. Although more than 1,000,000 government datasets about everything from air quality to farmers markets are openly available online in downloadable formats, much of the data about environmental, biometric, epidemiological, and physical conditions rest in private hands. Governing better requires a new empiricism for developing solutions together. That will depend on access to these private, not just public data….(More)”

Openness an Essential Building Block for Inclusive Societies

Curated on Posted on by Stefaan Verhulst

 (Mexico) in the Huffington Post: “The international community faces a complex environment that requires transforming the way we govern. In that sense, 2015 marks a historic milestone, as 193 Member States of the United Nations will come together to agree on the adoption of the 2030 Agenda. With the definition of the 17 Sustainable Development Goals (SDGs), we will set an ambitious course toward a better and more inclusive world for the next 15 years.

The SDGs will be established just when governments deal with new and more defiant challenges, which require increased collaboration with multiple stakeholders to deliver innovative solutions. For that reason, cutting-edge technologies, fueled by vast amounts of data, provide an efficient platform to foster a global transformation and consolidate more responsive, collaborative and open governments.

Goal 16 seeks to promote just, peaceful and inclusive societies by ensuring access to public information, strengthening the rule of law, as well as building stronger and more accountable institutions. By doing so, we will contribute to successfully achieve the rest of the 2030 Agenda objectives.

During the 70th United Nations General Assembly, the 11 countries of the Steering Committee of the Open Government Partnership (OGP), along with civil-society leaders, will gather to acknowledge Goal 16 as a common target through a Joint Declaration: Open Government for the Implementation of the 2030 Agenda for Sustainable Development. As the Global Summit of OGP convenes this year in Mexico City, on October 28th and 29th, my government will call on all 65 members to subscribe to this fundamental declaration.

The SDGs will be reached only through trustworthy, effective and inclusive institutions. This is why Mexico, as current chair of the OGP, has committed to promote citizen participation, innovative policies, transparency and accountability.

Furthermore, we have worked with a global community of key players to develop the international Open Data Charter (ODC), which sets the founding principles for a greater coherence and increased use of open data across the world. We seek to recognize the value of having timely, comprehensive, accessible, and comparable data to improve governance and citizen engagement, as well as to foster inclusive development and innovation….(More)”

Using Big Data to Understand the Human Condition: The Kavli HUMAN Project

Curated on Posted on by Stefaan Verhulst

Azmak Okan et al in the Journal “Big Data”: “Until now, most large-scale studies of humans have either focused on very specific domains of inquiry or have relied on between-subjects approaches. While these previous studies have been invaluable for revealing important biological factors in cardiac health or social factors in retirement choices, no single repository contains anything like a complete record of the health, education, genetics, environmental, and lifestyle profiles of a large group of individuals at the within-subject level. This seems critical today because emerging evidence about the dynamic interplay between biology, behavior, and the environment point to a pressing need for just the kind of large-scale, long-term synoptic dataset that does not yet exist at the within-subject level. At the same time that the need for such a dataset is becoming clear, there is also growing evidence that just such a synoptic dataset may now be obtainable—at least at moderate scale—using contemporary big data approaches. To this end, we introduce the Kavli HUMAN Project (KHP), an effort to aggregate data from 2,500 New York City households in all five boroughs (roughly 10,000 individuals) whose biology and behavior will be measured using an unprecedented array of modalities over 20 years. It will also richly measure environmental conditions and events that KHP members experience using a geographic information system database of unparalleled scale, currently under construction in New York. In this manner, KHP will offer both synoptic and granular views of how human health and behavior coevolve over the life cycle and why they evolve differently for different people. In turn, we argue that this will allow for new discovery-based scientific approaches, rooted in big data analytics, to improving the health and quality of human life, particularly in urban contexts….(More)”

Making Open Innovation Ecosystems Work: Case Studies in Healthcare

Curated on Posted on by Stefaan Verhulst

New paper by Donald E. Wynn, Jr., Renee M. E. Pratt and Randy V. Bradley for the Business of Government Center: “In the mist of tightening budgets, many government agencies are being asked to deliver innovative solutions to operational and strategic problems. One way to address this dilemma is to participate in open innovation. This report addresses two key components of open innovation:

  • Adopting external ideas from private firms, universities, and individuals into the agency’s innovation practices
  • Pushing innovations developed internally to the public by reaching out to external channels

To illustrate how open innovation can work, the authors employ the concept of the technological ecosystem to demonstrate that fostering innovations cannot be done alone.

Successful technological ecosystems create innovation through the combination of five key elements:

  1. Resources – the contribution made and exchanged among the participants of an ecosystem
  2. Participants – the characteristics of the participants
  3. Relationships – the relationships and interaction among the participants
  4. Organization –of the ecosystem as a whole
  5. External environment in which the ecosystem operates

This report examines both strategies by studying two cases of government-sponsored participation in technological ecosystems in the health care industry:

  • The U.S. Department of Veterans Affairs (VA) built a new ecosystem around its VistA electronic health records software in order to better facilitate the flow of innovation practices and processes between the VA and external agencies and private firms.
  • The state of West Virginia selected a variant of the VistA software for deployment in its hospital system, saving a significant amount of money while introducing a number of new features and functionality for the seven medical facilities.

As a result of these studies, the authors have identified 10 best practices for agencies seeking to capi­talize on open innovation.  These best practices include encouraging openness and transparency, minimizing internal friction and bureaucracy, and continuously monitoring external conditions….(More)”

Smarter as the New Urban Agenda: A Comprehensive View of the 21st Century City

Curated on Posted on by Stefaan Verhulst

Book edited by Gil-Garcia, J. Ramon, Pardo, Theresa A., Nam, Taewoo: “This book will provide one of the first comprehensive approaches to the study of smart city governments with theories and concepts for understanding and researching 21st century city governments innovative methodologies for the analysis and evaluation of smart city initiatives. The term “smart city” is now generally used to represent efforts that in different ways describe a comprehensive vision of a city for the present and future. A smarter city infuses information into its physical infrastructure to improve conveniences, facilitate mobility, add efficiencies, conserve energy, improve the quality of air and water, identify problems and fix them quickly, recover rapidly from disasters, collect data to make better decisions, deploy resources effectively and share data to enable collaboration across entities and domains. These and other similar efforts are expected to make cities more intelligent in terms of efficiency, effectiveness, productivity, transparency, and sustainability, among other important aspects. Given this changing social, institutional and technology environment, it seems feasible and likeable to attain smarter cities and by extension, smarter governments: virtually integrated, networked, interconnected, responsive, and efficient. This book will help build the bridge between sound research and practice expertise in the area of smarter cities and will be of interest to researchers and students in the e-government, public administration, political science, communication, information science, administrative sciences and management, sociology, computer science, and information technology. As well as government officials and public managers who will find practical recommendations based on rigorous studies that will contain insights and guidance for the development, management, and evaluation of complex smart cities and smart government initiatives.​…(More)”

Civic Jazz in the New Maker Cities

Curated on Posted on by Stefaan Verhulst

 at Techonomy: “Our civic innovation movement is about 6 years old.  It began when cities started opening up data to citizens, journalists, public-sector companies, non-profits, and government agencies.  Open data is an invitation: it’s something to go to work on— both to innovate and to create a more transparent environment about what works and what doesn’t.  I remember when we first opened data in SF and began holding conferences and hackathons. In short order we saw a community emerge with remarkable capacity to contribute to, tinker with, hack, explore and improve the city.

Early on this took the form of visualizing data, like crime patterns in Oakland. This was followed by engagement: “Look, the police are skating by and not enforcing prostitution laws. Lets call them on it!”   Civic hackathons brought together journalists, software developers, hardware people, and urbanists. I recall when artists teamed with the Arup engineering firm to build noise sensors and deployed them in the Tenderloin neighborhood (with absolutely no permission from anybody). Noise was an issue. How could you understand the problem unless you measured it?

Something as wonky as an API invited people in, at which point a sense of civic possibility and wonder set in. Suddenly whole swaths of the city were working on the city.  During the SF elections four years ago Gray Area Foundation for the Arts (which I chair) led a project with candidates, bureaucrats, and hundreds of volunteers for a summer-long set of hackathons and projects. We were stunned so many people would come together and collaborate so broadly. It was a movement, fueled by a sense of agency and informed by social media. Today cities are competing on innovation. It has become a movement.

All this has been accelerated by startups, incubators, and the economy’s whole open innovation conversation.  Remarkably, we now see capital from flowing in to support urban and social ventures where we saw none just a few years ago. The accelerator Tumml in SF is a premier example, but there are similar efforts in many cities.

This initial civic innovation movement was focused on apps and data, a relatively easy place to start. With such an approach you’re not contending for real estate or creating something that might gentrify neighborhoods. Today this movement is at work on how we design the city itself.  As millennials pour in and cities are where most of us live, enormous experimentation is at play. Ours is a highly interdisciplinary age, mixing new forms of software code and various physical materials, using all sorts of new manufacturing techniques.

Brooklyn is a great example.  A few weeks ago I met with Bob Bland, CEO of Manufacture New York. This ambitious 160,000 square foot public/private partnership is reimagining the New York fashion business. In one place it co-locates contract manufacturers, emerging fashion brands and advanced fashion research. Think wearables, sensors, smart fabrics, and the application of advanced manufacturing to fashion. By bringing all these elements under one roof, the supply chain can be compressed, sped-up, and products made more innovative.

New York City’s Economic Development office envisions a local urban supply chain that can offer a scalable alternative to the giant extended global one. In fashion it makes more and more sense for brands to be located near their suppliers. Social media speeds up fashion cycles, so we’re moving beyond predictable seasons and looks specified ahead of time. Manufacturers want to place smaller orders more frequently, so they can take less inventory risk and keep current with trends.

When you put so much talent in one space, creativity flourishes. In fashion, unlike tech, there isn’t a lot of IP protection. So designers can riff off each other’s idea and incorporate influences as artists do. What might be called stealing ideas in the software business is seen in fashion as jazz and a way to create a more interesting work environment.

A few blocks away is the Brooklyn Navy Yard, a mammoth facility at the center of New York’s emerging maker economy. …In San Francisco this urban innovation movement is working on the form of the city itself. Our main boulevard, Market Street, is to be reimagined, repaved, and made greener with far fewer private vehicles over the next two years. Our planning department, in concert with art organizations here, has made citizen-led urban prototyping the centerpiece of the planning process….(More)”