Paper by Rainer Kattel, Wolfgang Drechsler and Erkki Karo: “In this paper, we offer to redefine what entrepreneurial states are: these are states that are capable of unleashing innovations, and wealth resulting from those innovations, and of maintaining socio-political stability at the same time. Innovation bureaucracies are constellations of public organisations that deliver such agile stability. Such balancing acts make public bureaucracies unique in how they work, succeed and fail. The paper looks at the historical evolution of innovation bureaucracy by focusing on public organisations dealing with knowledge and technology, economic development and growth. We briefly show how agility and stability are delivered through starkly different bureaucratic organisations; hence, what matters for capacity and capabilities are not individual organisations, but organisational configurations and how they evolve….(More)”.
Pessimism v progress
The Economist: “Faster, cheaper, better—technology is one field many people rely upon to offer a vision of a brighter future. But as the 2020s dawn, optimism is in short supply. The new technologies that dominated the past decade seem to be making things worse. Social media were supposed to bring people together. In the Arab spring of 2011 they were hailed as a liberating force. Today they are better known for invading privacy, spreading propaganda and undermining democracy. E-commerce, ride-hailing and the gig economy may be convenient, but they are charged with underpaying workers, exacerbating inequality and clogging the streets with vehicles. Parents worry that smartphones have turned their children into screen-addicted zombies.
The technologies expected to dominate the new decade also seem to cast a dark shadow. Artificial intelligence (ai) may well entrench bias and prejudice, threaten your job and shore up authoritarian rulers (see article). 5g is at the heart of the Sino-American trade war. Autonomous cars still do not work, but manage to kill people all the same. Polls show that internet firms are now less trusted than the banking industry. At the very moment banks are striving to rebrand themselves as tech firms, internet giants have become the new banks, morphing from talent magnets to pariahs. Even their employees are in revolt.
The New York Times sums up the encroaching gloom. “A mood of pessimism”, it writes, has displaced “the idea of inevitable progress born in the scientific and industrial revolutions.” Except those words are from an article published in 1979. Back then the paper fretted that the anxiety was “fed by growing doubts about society’s ability to rein in the seemingly runaway forces of technology”.
Today’s gloomy mood is centred on smartphones and social media, which took off a decade ago. Yet concerns that humanity has taken a technological wrong turn, or that particular technologies might be doing more harm than good, have arisen before. In the 1970s the despondency was prompted by concerns about overpopulation, environmental damage and the prospect of nuclear immolation. The 1920s witnessed a backlash against cars, which had earlier been seen as a miraculous answer to the affliction of horse-drawn vehicles—which filled the streets with noise and dung, and caused congestion and accidents. And the blight of industrialisation was decried in the 19th century by Luddites, Romantics and socialists, who worried (with good reason) about the displacement of skilled artisans, the despoiling of the countryside and the suffering of factory hands toiling in smoke-belching mills….(More)”.
Federal Sources of Entrepreneurship Data: A Compendium
Compendium developed by Andrew Reamer: “The E.M. Kauffman Foundation has asked the George Washington Institute of Public Policy (GWIPP) to prepare a compendium of federal sources of data on self-employment, entrepreneurship, and small business development. The Foundation believes that the availability of useful, reliable federal data on these topics would enable robust descriptions and explanations of entrepreneurship trends in the United States and so help guide the development of effective entrepreneurship policies.
Achieving these ends first requires the identification and detailed description of available federal datasets, as provided in this compendium. Its contents include:
- An overview and discussion of 18 datasets from four federal agencies, organized by two categories and five subcategories.
- Tables providing information on each dataset, including:
- scope of coverage of self-employed, entrepreneurs, and businesses;
- data collection methods (nature of data source, periodicity, sampling frame, sample size);
- dataset variables (owner characteristics, business characteristics and operations, geographic areas);
- Data release schedule; and
- Data access by format (including fixed tables, interactive tools, API, FTP download, public use microdata samples [PUMS], and confidential microdata).
For each dataset, examples of studies, if any, that use the data source to describe and explain trends in entrepreneurship.
The author’s aim is for the compendium to facilitate an assessment of the strengths and weaknesses of currently available federal datasets, discussion about how data availability and value can be improved, and implementation of desired improvements…(More)”
Why the Global South should nationalise its data
Ulises Ali Mejias at AlJazeera: “The recent coup in Bolivia reminds us that poor countries rich in resources continue to be plagued by the legacy of colonialism. Anything that stands in the way of a foreign corporation’s ability to extract cheap resources must be removed.
Today, apart from minerals and fossil fuels, corporations are after another precious resource: Personal data. As with natural resources, data too has become the target of extractive corporate practices.
As sociologist Nick Couldry and I argue in our book, The Costs of Connection: How Data is Colonizing Human Life and Appropriating It for Capitalism, there is a new form of colonialism emerging in the world: data colonialism. By this, we mean a new resource-grab whereby human life itself has become a direct input into economic production in the form of extracted data.
We acknowledge that this term is controversial, given the extreme physical violence and structures of racism that historical colonialism employed. However, our point is not to say that data colonialism is the same as historical colonialism, but rather to suggest that it shares the same core function: extraction, exploitation, and dispossession.
Like classical colonialism, data colonialism violently reconfigures human relations to economic production. Things like land, water, and other natural resources were valued by native people in the precolonial era, but not in the same way that colonisers (and later, capitalists) came to value them: as private property. Likewise, we are experiencing a situation in which things that were once primarily outside the economic realm – things like our most intimate social interactions with friends and family, or our medical records – have now been commodified and made part of an economic cycle of data extraction that benefits a few corporations.
So what could countries in the Global South do to avoid the dangers of data colonialism?…(More)”.
Platform policy and regulation: towards a radical democratic turn
Paper by Bart Cammaerts and Robin Mansell: “This article considers challenges to policy and regulation presented by the dominant digital platforms. A radical democratic framing of the deliberative process is developed to acknowledge the full complexity of power relations that are in play in policy and regulatory debates and this view is contrasted with a liberal democratic perspective.
We show how these different framings have informed historical and contemporary approaches to the challenges presented by conflicting interests in economic value and a range of public values in the context of media content, communication infrastructure and digital platform policy and regulation. We argue for an agonistic approach to digital platform policy and regulatory debate so as to encourage a denaturalization of the prevailing logics of commercial datafication. We offer some suggestions about how such a generative discourse might be encouraged in such a way that it starts to yield a new common sense about the further development of digital platforms; one that might favor a digital ecology better attuned to consumer and citizen interests in democratic societies….(More)”.
Data as oil, infrastructure or asset? Three metaphors of data as economic value
Jan Michael Nolin at the Journal of Information, Communication and Ethics in Society: “Principled discussions on the economic value of data are frequently pursued through metaphors. This study aims to explore three influential metaphors for talking about the economic value of data: data are the new oil, data as infrastructure and data as an asset.
With the help of conceptual metaphor theory, various meanings surrounding the three metaphors are explored. Meanings clarified or hidden through various metaphors are identified. Specific emphasis is placed on the economic value of ownership of data.
In discussions on data as economic resource, the three different metaphors are used for separate purposes. The most used metaphor, data are the new oil, communicates that ownership of data could lead to great wealth. However, with data as infrastructure data have no intrinsic value. Therefore, profits generated from data resources belong to those processing the data, not those owning it. The data as an asset metaphor can be used to convince organizational leadership that they own data of great value….(More)”.
Social Business Models in the Digital Economy
Book by Adam Jabłoński and Marek Jabłoński: “Filling a gap in the current literature, this book addresses the social approach to the design and use of innovative business models in the digital economy. It focuses on three areas that are of increasing importance to businesses and industry today: social issues and sustainability; digitization; and new economic business models, specifically the sharing and circular economies. The authors aim to solve current scientific concerns around the conceptualization and operationalization of social business models, addressing management intentions and the impact of these models on society. Based on observation of social phenomena and the authors’ research and practical experience, the book highlights best practices for designing and assessing social business models….(More)”.
Kenya passes data protection law crucial for tech investments
George Obulutsa and Duncan Miriri at Reuters: “Kenyan President Uhuru Kenyatta on Friday approved a data protection law which complies with European Union legal standards as it looks to bolster investment in its information technology sector.
The East African nation has attracted foreign firms with innovations such as Safaricom’s M-Pesa mobile money services, but the lack of safeguards in handling personal data has held it back from its full potential, officials say.
“Kenya has joined the global community in terms of data protection standards,” Joe Mucheru, minister for information, technology and communication, told Reuters.
The new law sets out restrictions on how personally identifiable data obtained by firms and government entities can be handled, stored and shared, the government said.
Mucheru said it complies with the EU’s General Data Protection Regulation which came into effect in May 2018 and said an independent office will investigate data infringements….
A lack of data protection legislation has also hampered the government’s efforts to digitize identity records for citizens.
The registration, which the government said would boost its provision of services, suffered a setback this year when the exercise was challenged in court.
“The lack of a data privacy law has been an enormous lacuna in Kenya’s digital rights landscape,” said Nanjala Nyabola, author of a book on information technology and democracy in Kenya….(More)”.
Finland’s model in utilising forest data
Report by Matti Valonen et al: “The aim of this study is to depict the Finnish Forest Centre’s Metsään.fiwebsite’s background, objectives and implementation and to assess its needs for development and future prospects. The Metsään.fi-service included in the Metsään.fi-website is a free e-service for forest owners and corporate actors (companies, associations and service providers) in the forest sector, which aim is to support active decision-making among forest owners by offering forest resource data and maps on forest properties, by making contacts with the authorities easier through online services and to act as a platform for offering forest services, among other things.
In addition to the Metsään.fi-service, the website includes open forest data services that offer the users national forest resource data that is not linked with personal information.
Private forests are in a key position as raw material sources for traditional and new forest-based bioeconomy. In addition to wood material, the forests produce non-timber forest products (for example berries and mushrooms), opportunities for recreation and other ecosystem services.
Private forests cover roughly 60 percent of forest land, but about 80 percent of the domestic wood used by forest industry. In 2017 the value of the forest industry production was 21 billion euros, which is a fifth of the entire industry production value in Finland. The forest industry export in 2017 was worth about 12 billion euros, which covers a fifth of the entire export of goods. Therefore, the forest sector is important for Finland’s national economy…(More)”.
Geolocation Data for Pattern of Life Analysis in Lower-Income Countries
Report by Eduardo Laguna-Muggenburg, Shreyan Sen and Eric Lewandowski: “Urbanization processes in the developing world are often associated with the creation of informal settlements. These areas frequently have few or no public services exacerbating inequality even in the context of substantial economic growth.
In the past, the high costs of gathering data through traditional surveying methods made it challenging to study how these under-served areas evolve through time and in relation to the metropolitan area to which they belong. However, the advent of mobile phones and smartphones in particular presents an opportunity to generate new insights on these old questions.
In June 2019, Orbital Insight and the United Nations Development Programme (UNDP) Arab States Human Development Report team launched a collaborative pilot program assessing the feasibility of using geolocation data to understand patterns of life among the urban poor in Cairo, Egypt.
The objectives of this collaboration were to assess feasibility (and conditionally pursue preliminary analysis) of geolocation data to create near-real time population density maps, understand where residents of informal settlements tend to work during the day, and to classify universities by percentage of students living in informal settlements.
The report is organized as follows. In Section 2 we describe the data and its limitations. In Section 3 we briefly explain the methodological background. Section 4 summarizes the insights derived from the data for the Egyptian context. Section 5 concludes….(More)”.