data – Page 266 – The Living Library

What do you know?

Curated on December 2, 2013August 3, 2018 by Stefaan Verhulst

Article in the Financial Times by Eric Openshaw John Hagel: “Talent holds the key to company performance. From business units to Finance to IT, getting the right skills to the right place at the right time is a constant challenge. Now consider that workplace technologies are becoming obsolete faster, and the useful life of many skills is shorter. Workers at all levels need to be able to learn and relearn rapidly to adapt to and anticipate changing demands. Recruitment and retention initiatives can’t address the need, nor can standardised training programs and knowledge management.
New technologies offer an opportunity to rethink both talent development and traditional knowledge management and integrate learning directly into the daily work experience. Virtual platforms enable workers to connect with each other to solve problems across distributed work settings and beyond organisational boundaries.
The preponderance of sensors and advanced analytics today make it more possible than ever to collect and share individual’s real-time performance in a variety of settings. Sensors and the integration of social platforms into work allows for knowledge and experiences to be captured automatically, as they occur, rather than depending on compliance and coerced participation to populate reputation profiles and knowledge management databases. These technologies support rich, context-specific learning and participation driven by momentum as users discover and create value.
Training programs and knowledge management have a place, but they may not deliver the skilled workers needed to the right place and time in a rapidly changing environment. Pre-developed content quickly becomes obsolete or lacks the context to make it relevant to the individual. Perhaps more importantly, classroom training and knowledge databases tend to focus on the commonalities between work, the standard processes and practices, when in fact workers spend most of their days dealing with the exceptions that don’t fit into the standard processes and systems, whether it’s a one-off shipping request or a customer who can’t make your software work with their hardware. Workers typically get better at handling the non-standard aspects of their work through on-the-job experience…

In a recent paper, we detailed nine principles that help to create the type of environment that fosters learning and improvement. The following three principles demonstrate how technology can play an important role in enabling this on-the-job learning and in amplifying the learning, especially across a virtual workforce.

Real-time feedback for individuals and teams. For workers to improve performance and learn what works or doesn’t work, they need to have a context-specific understanding of what is expected and how they are doing relative to others, in the moment rather than three- or six-months down the line.
At virtual call-centre LiveOps, the independent agents see customer and program-specific metrics on an online dashboard. These metrics define the level of performance necessary for agents to remain eligible to take calls for a program and are continuously updated, providing real-time feedback after each call so that agents can see how they are doing relative to their peer group and where they can improve. This level of performance data transparency creates a meritocracy, as agents are compared to their peers and rewarded based on their relative performance.
Smart capture and share. In any work setting, a great deal of information is generated and exchanged in meetings, conversations, instant messages, and email. Easy access to that information helps foster collaboration, solve problems, and improve business processes. At SAP Community Network (SCN), intelligent cataloguing of insights from discussion forums, tagged for searchability, helps make the right information available at the right time to those who need it without requiring the burdensome documentation associated with typical knowledge management. Other users can search for solutions in the context of the original problem posed, as well as through related discussions that may have led to an ultimate solution. Instead of days of internal debate or experimentation, the typical time to receive a response is 17 minutes.
Helping workers make relevant connections. In a typical organisation, physical or virtual, it can be difficult to know who everyone is and what their experience, expertise, and interests are, and the typical knowledge and resource management tools that require individuals to maintain profiles rarely see the level of continuing compliance and participation to make them useful. Instead, workers tend to fall back on relationships. They seek help and learn from those already known to them.
Now, virtual platforms, such as the one used by Odesk, a global online workplace, automatically generate detailed, up-to-date profiles. These profiles include the contractor’s cumulative and historical ratings and hourly wages for each completed project as well as the scores for any tests or certifications. The same type of automatic, action-based reputation profiles can be used internally to facilitate assessing and connecting with the right co-workers for the job at hand…”

How to Start Thinking Like a Data Scientist

Curated on December 1, 2013August 3, 2018 by Stefaan Verhulst

Thomas C. Redman in Harvard Business Review Blog: “Slowly but steadily, data are forcing their way into every nook and cranny of every industry, company, and job. Managers who aren’t data savvy, who can’t conduct basic analyses, interpret more complex ones, and interact with data scientists are already at a disadvantage. Companies without a large and growing cadre of data-savvy managers are similarly disadvantaged.
Fortunately, you don’t have to be a data scientist or a Bayesian statistician to tease useful insights from data. This post explores an exercise I’ve used for 20 years to help those with an open mind (and a pencil, paper, and calculator) get started. One post won’t make you data savvy, but it will help you become data literate, open your eyes to the millions of small data opportunities, and enable you work a bit more effectively with data scientists, analytics, and all things quantitative.
While the exercise is very much a how-to, each step also illustrates an important concept in analytics — from understanding variation to visualization.
First, start with something that interests, even bothers, you at work, like consistently late-starting meetings. Whatever it is, form it up as a question and write it down: “Meetings always seem to start late. Is that really true?”
Next, think through the data that can help answer your question, and develop a plan for creating them. Write down all the relevant definitions and your protocol for collecting the data. For this particular example, you have to define when the meeting actually begins. Is it the time someone says, “Ok, let’s begin.”? Or the time the real business of the meeting starts? Does kibitzing count?
Now collect the data. It is critical that you trust the data. And, as you go, you’re almost certain to find gaps in data collection. You may find that even though a meeting has started, it starts anew when a more senior person joins in. Modify your definition and protocol as you go along.
Sooner than you think, you’ll be ready to start drawing some pictures. Good pictures make it easier for you to both understand the data and communicate main points to others. There are plenty of good tools to help, but I like to draw my first picture by hand. My go-to plot is a time-series plot, where the horizontal axis has the date and time and the vertical axis has the variable of interest. Thus, a point on the graph below (click for a larger image) is the date and time of a meeting versus the number of minutes late….”

The value and challenges of public sector information

Curated on December 1, 2013August 3, 2018 by Stefaan Verhulst

A paper by M. Henninger in Cosmopolitan Civil Societies: An Interdisciplinary Journal: “The aim of this paper is to explore the concept of public sector information (PSI), what it is, its history and evolution, what constitutes its corpus of documents and the issues and challenges it presents to society, its institutions and to those who use and manage it. The paper, by examining the literatures of the law, political science, civil society, economics and information and library science explores the inherent tensions of access to and use of PSI—pragmatism vs. idealism; openness vs. secrecy; commerce vs. altruism; property vs. commons; public good vs. private good. It focusses on open government data (OGD)—a subset of what is popularly referred to as ‘big data’—its background and development since much of the current debate of its use concerns its commercial value for both the private sector and the public sector itself. In particular it looks at the information itself which, driven by technologies of networks, data mining and visualisation gives value in industrial and economic terms, and in its ability to enable new ideas and knowledge.”

Creative Common’s Next Generation Licenses — Version 4.0

Curated on November 28, 2013May 29, 2019 by Stefaan Verhulst

Diane Peters: “We proudly introduce our 4.0 licenses, now available for adoption worldwide. The 4.0 licenses — more than two years in the making — are the most global, legally robust licenses produced by CC to date. We have incorporated dozens of improvements that make sharing and reusing CC-licensed materials easier and more dependable than ever before.
We had ambitious goals in mind when we embarked on the versioning process coming out of the 2011 CC Global Summit in Warsaw. The new licenses achieve all of these goals, and more. The 4.0 licenses are extremely well-suited for use by governments and publishers of public sector information and other data, especially for those in the European Union. This is due to the expansion in license scope, which now covers sui generis database rights that exist there and in a handful of other countries.
Among other exciting new features are improved readability and organization, common-sense attribution, and a new mechanism that allows those who violate the license inadvertently to regain their rights automatically if the violation is corrected in a timely manner.
You can find highlights of the most significant improvements on our website, track the course of the public discussion and evolution of the license drafts on the 4.0 wiki page, and view a recap of the central policy decisions made over the course of the versioning process.
The 4.0 versioning process has been a truly collaborative effort between the brilliant and dedicated network of legal and public licensing experts and the active, vocal open community. The 4.0 licenses, the public license development undertaking, and the Creative Commons organization are stronger because of the steadfast commitment of all participants.
With the 4.0 licenses published, we will be turning our attention to official translations of the legal code in partnership with our affiliate network and larger community. Translations of our new deeds are also underway, with a significant number already completed.”

Making Europe's cities smarter

Curated on November 26, 2013August 15, 2018 by Stefaan Verhulst

Press Release: “At a conference today hosted by the European Commission, city leaders, CEOs and civil society leaders discussed the actions outlined in the “Smart Cities Strategic Implementation Plan” and how to put them into practice. The Commission announced that it will launch an ‘Invitation for Smart City and Community Commitments’ in spring 2014 to mobilise work on the action plan’s priorities. The plan is part of Europe’s fifth “Innovation Partnership”.
Commission Vice-President Siim Kallas, in charge of transport, said: “I am very pleased to see transport operators, telecoms companies, vehicle manufacturers, city planners, energy companies and researchers all gathered in one room to discuss the future of our cities. The Smart Cities initiative is a great opportunity to make changes happen for less congestion and better business opportunities in our cities. We need to keep up the momentum and move from plan to action now.”
Commission Vice-President Neelie Kroes, responsible for the Digital Agenda, said: “The future of infrastructure and city planning will be based on integrating ICT systems and using big data to make our cities better places to live and work. We need to base those new systems on open standards for hardware, software, data and services which this European Innovation Partnership will develop.”
Günther H. Oettinger, EU Commissioner for energy, said: “The European Innovation Partnership for Smart Cities and Communities is about making investments in sustainable development in as many cities as possible. Creating equal partnerships between cities and companies based on synergies between ICT, energy and mobility will lead to projects that make a real difference in our everyday lives.”
The Commission intends to make available approximately EUR 200 million for Smart Cities and communities in the 2014-2015 budgets of the Horizon 2020 research and innovation programme, to accelerate progress and enlarge the scale of roll-out of smart cities solutions. There will also be possibilities to access the European Structural and Investment Funds.
For more information: http://ec.europa.eu/eip/smartcities/”

The Flow of Technology Talent into Government and Civil Society

Curated on November 26, 2013August 3, 2018 by Stefaan Verhulst

Report for the Ford Foundation and the MacArthur Foundation: “As information technology further suffuses every aspect of our lives, government will inevitably have a role to play in ensuring that technology serves the public interest. The ability for government to improve operations and provide services to citizens more efficiently through the effective use of technology is among the greatest contemporary opportunities for the public sector…
Among the key findings of this report:

The Current Pipeline Is Insufficient: the vast majority of interviewees indicated that there is a severe paucity of individuals with technical skills in computer science, data science, and the Internet or other information technology expertise in civil society and government. In particular, many of those interviewed noted that existing talent levels fail to meet current needs to develop, leverage, or understand technology.
Barriers to Recruitment and Retention Are Acute: many of those interviewed said that substantial barriers thwart the effective recruitment and retention of individuals with the requisite skills in government and civil society. Among the most common barriers mentioned were those of compensation, an inability to pursue groundbreaking work, and a culture that is averse to hiring and utilizing potentially disruptive innovators
A Major Gap between the Public-Interest and For-Profit Sectors Persists: as a related matter, interviewees discussed superior for-profit recruitment and retention models. Specifically, the for-profit sector was perceived as providing both more attractive compensation (especially to young talent) and fostering a culture of innovation, openness, and creativity that was seen as more appealing to technologists and innovators.
A Need to Examine Models from Other Fields: interviewees noted significant space to develop new models to improve the robustness of the talent pipeline; in part, many existing models were regarded as unsustainable or incomplete. Interviewees did, however, highlight approaches from other fields that could provide relevant lessons to help guide investments in improving this pipeline.
Significant Opportunity for Connection and Training: despite consonance among those interviewed that the pipeline was incomplete, many individuals indicated the possibility for improved and more systematic efforts to expose young technologists to public interest issues and connect them to government and civil society careers through internships, fellowships, and other training and recruitment tools.
Culture Change Necessary: the culture of government and civil society –and its effects on recruitment and other bureaucratic processes –was seen as a vital challenge that would need to be addressed to improve the pipeline. This view manifested through comments that government and civil society organizations needed to become more open to utilizing technology and adopting a mindset of experimentation….”

Big Data needs Big Theory

Curated on November 26, 2013May 29, 2019 by Stefaan Verhulst

Geoffrey West, former President of the Santa Fe Institute: “As the world becomes increasingly complex and interconnected, some of our biggest challenges have begun to seem intractable. What should we do about uncertainty in the financial markets? How can we predict energy supply and demand? How will climate change play out? How do we cope with rapid urbanization? Our traditional approaches to these problems are often qualitative and disjointed and lead to unintended consequences. To bring scientific rigor to the challenges of our time, we need to develop a deeper understanding of complexity itself….
The digital revolution is driving much of the increasing complexity and pace of life we are now seeing, but this technology also presents an opportunity. The ubiquity of cell phones and electronic transactions, the increasing use of personal medical probes, and the concept of the electronically wired “smart city” are already providing us with enormous amounts of data. With new computational tools and techniques to digest vast, interrelated databases, researchers and practitioners in science, technology, business and government have begun to bring large-scale simulations and models to bear on questions formerly out of reach of quantitative analysis, such as how cooperation emerges in society, what conditions promote innovation, and how conflicts spread and grow.
The trouble is, we don’t have a unified, conceptual framework for addressing questions of complexity. We don’t know what kind of data we need, nor how much, or what critical questions we should be asking. “Big data” without a “big theory” to go with it loses much of its potency and usefulness, potentially generating new unintended consequences.
When the industrial age focused society’s attention on energy in its many manifestations—steam, chemical, mechanical, and so on—the universal laws of thermodynamics came as a response. We now need to ask if our age can produce universal laws of complexity that integrate energy with information. What are the underlying principles that transcend the extraordinary diversity and historical contingency and interconnectivity of financial markets, populations, ecosystems, war and conflict, pandemics and cancer? An overarching predictive, mathematical framework for complex systems would, in principle, incorporate the dynamics and organization of any complex system in a quantitative, computable framework.
We will probably never make detailed predictions of complex systems, but coarse-grained descriptions that lead to quantitative predictions for essential features are within our grasp. We won’t predict when the next financial crash will occur, but we ought to be able to assign a probability of one occurring in the next few years. The field is in the midst of a broad synthesis of scientific disciplines, helping reverse the trend toward fragmentation and specialization, and is groping toward a more unified, holistic framework for tackling society’s big questions. The future of the human enterprise may well depend on it.”

Open Data: From ‘Platform’ to ‘Program’

Curated on November 26, 2013July 18, 2019 by Stefaan Verhulst

Engaging Cities: “A few months ago, Dutch designer Mark van der Net launched OSCity.nl, a highly interesting example of what can be done with open data. At first, it looks like a mapping tool. The interface shows a – beautifully designed – map of The Netherlands, color coded according to whatever open data set the user selects, varying from geographical height to the location of empty office buildings. As such it is an example of a broader current in which artists, citizens, ngos and business actors have build online tools to visualize all kinds of data, varying from open government data to collaboratively produced data sets focused on issues like environmental pollution.
What makes OSCity interesting is that it allows users to intuitively map various datasets in combination with each other in so called ‘map stories’. For instance, a map of empty office space can be combined with maps of urban growth and decline, the average renting price per square meter of office space, as well as map that displays the prices of houses for sale. The intersection of those maps shows you where empty office spaces are offered at or below half the price of regular houses and apartments. The result is thus not just an aesthetically pleasing state of affairs, but an action map. Policy makers, developers and citizens can use the insights produced by the map to find empty offices that are worthwhile to turn into houses.
There are two important lessons we can learn from this project. First, it shows the importance of programs like OSCity to make open data platforms operationable for various actors. Over the last few years governments and other organizations have started to open up their datasets, often accompanied with high expectations of citizen empowerment and greater transparency of governments. However, case studies have showed that opening up data and building an open platform is only a first step. Dawes and Helbig have shown that various stakeholders have various needs in terms of standards and protocols, whereas both citizens and government officials need the relevant skills to be able to understand and operate upon the data. ‘Vast amounts of useful information are contained in government data systems’, they write, ‘but the systems themselves are seldom designed for use beyond the collecting agency’s own needs.’ In other words: what is needed to deliver on the expectations of open data, is not only a platform – a publicly available database – but also what I have called ‘programs’ – online tools with intuitive interfaces that make this data intelligible and actionable in concert with the needs of the public.
There is a second issue that OSCity raises. As Jo Bates has pointed out, the main question is: who exactly is empowered through programs like this? Will ‘programs’ that make data operationable work for citizens? Or will their procedures, standards and access be organized to benefit corporate interests? These do not have to be necessarily contradicting, but if the goal is to empower citizens, it is important to engage them as stakeholders in the design of these programs.”

BBC throws weight behind open data movement

Curated on November 25, 2013August 3, 2018 by Stefaan Verhulst

The Telegraph: “The BBC has signed Memoranda of Understanding (MoUs) with the Europeana Foundation, the Open Data Institute, the Open Knowledge Foundation and the Mozilla Foundation, supporting free and open internet technologies…

The agreements will enable closer collaboration between the BBC and each of the four organisations on a range of mutual interests, including the release of structured open data and the use of open standards in web development, according to the BBC.

One aim of the agreement is to give clear technical standards and models to organisations who want to work with the BBC, and give those using the internet a deeper understanding of the technologies involved.

The MoUs also bring together several existing areas of research and provide a framework to explore future opportunities. Through this and other initiatives, the BBC hopes to become a catalyst for open innovation by publishing clear technical standards, models, expertise and – where feasible – data.

The BBC has been publishing linked open data for some time, most notably as part of the /programmes service, where machine-readable information about the programme schedule is made available online.

It also helped to deliver the Olympics Data Service, which underpinned 10,490 athlete pages on the BBC sport website during the 2012 Olympics….

“The BBC has been at the forefront of technological innovation around broadcasting and online for many years delivering the benefits of new technologies to licence fee payers, offering new services and products to audiences around the world, and creating public value in the digital economy,” said James Purnell, BBC Director of Strategy and Digital.”