Category Archives: analysis

Population, automation and the death drive of capitalism

Two of the plenary sessions at this year’s Association of American Geographers meeting in Chicago (April 21-25) — Heidi Nast’s Dialogues in Human Geography forum and Paul Robbins’ Progress in Human Geography lecture — examined in broad terms the relationship between fertility rates, population, the changing nature of work, and the future of capitalism.  Interestingly, fertility seems to be the forgotten focus in the discipline of demography and population the forgotten field in human geography.  However, both sessions called for a renewed focus, not with respect to population growth over the next couple of decades, but the longer run fertility rate and population decline due to take place in the second half of the century.  In both cases, an argument was made regarding the consequences concerning the functioning of capitalism and the health and wealth of society.  Both talks also folded in an analysis of work and production — in Paul’s case types of employment in India and in Heidi’s automation (in a loose sense as much of her talk concerned the development of sex robots in the context of a crisis of masculinity, social alienation, and falling fertility) — and its spillover effects for lifestyle and consumption.

Parsing between the two talks, my sense of the argument starting to be formulated runs in a broad sense thus.  Fertility rates have been falling globally and by 2050 will be below replacement rate in the vast majority of countries with the exception of sub-Saharan Africa.  At this point, the dependency ratio will be very high and growing (ratio of older people to working population), and the global population will peak in the latter part of the century and start to decline at roughly the speed it is growing at present, with this occurring earlier in countries that presently have a low fertility rate.  As such, the market for consumption of products and services will start to plummet, especially in the West.  Moreover, the increasing growth of automation of work (pretty much any work that involves formalised knowledge (e.g., law, medicine, finance) or practices (manufacturing) is set to speed up markedly (Gartner, for example, predict a third of all jobs could be automated by 2025) meaning that labour will become more precarious, less skilled, and less well paying, meaning widening inequalities and decreasing incomes across lower and middle class households.

In combination, reducing population, shrinking cities, a high dependency ratio, widening inequalities, rising labour precarity and falling incomes will create a fatal crisis for capitalism.  Think Detroit and the rustbelt but on a grand, global scale – cities and the production of goods and services scaled for 9-10 billion, but with waged labour highly precarious and a shrinking population and market base.  In other words, whilst attention is presently focused on the issue of rapid global population growth, rural-to-urban migration, resource conflicts and climate adaptability, it is the crisis that follows that will be truly challenging because it signals the end game of a form of political economy that is reliant of constant growth, new markets, and consumers who can afford to consume.  In other words, in its present pursuit of profit and accumulation, capital is creating the conditions to systematically starve itself.

Capitalism has always been vulnerable to crises, but they tend to be short, sharp shocks, whereas population decline and automation will be long-term systemic challenges.  I think there’s some interesting ideas here that are worth fleshing out and thinking through.  It’ll be interesting to see if people start to pick up on them and how the debate — and society — develops.

Rob Kitchin

The politics and praxis of urban data: Building the Dublin Dashboard

Earlier today Rob Kitchin presented a paper jointly written with Gavin McArdle and Sophia Maalsen at the Association of American Geographers meeting in Chicago titled: The politics and praxis of urban data: Building the Dublin Dashboard.  The submitted abstract is below, along with the powerpoint slides.  Hopefully the full written paper will be published as a working paper shortly.

This paper critically reflects on the building of the Dublin Dashboard (www.dublindashboard.ie) from the perspective of critical data studies.  The Dashboard is a website that provides citizens, planners, policy makers and companies with an extensive set of data and data visualizations about Dublin City, including real-time information, indicator trends, inter and intra-urban benchmarking, interactive maps, the location of services, and a means to directly report issues to city authorities.  The data used in the Dashboard is open and available for others to build their own apps.  One member of the development team was an ethnographer who attended meetings, observed and discussed with key actors the creation of the Dashboard and its attendant praxis and politics up to the point of its launch in September 2014.  This paper draws on that material to consider the contextual, contingent, iterative and relational unfolding of the Dashboard and the emergent politics of data and design.  In so doing, it reveals the contested and negotiated politics of smart city initiatives.

Towards geographies of and produced by data brokers

Today, Rob Kitchin participated in a panel session on spatialized information economies at the Association of American Geographers in Chicago, organized by Jeremy Crampton and Agnieszka Leszczynski.  Below is his script for an intervention titled ‘Towards geographies of and produced by data brokers’.

There have long been spatialized information economies – ever since maps, gazetteers and almanacs have been created and traded.  There’s also a well established century old history of political polling and spatialised market research and data services.  With the development of digital data from the 1950s on, the markets for spatial data and information have steadily diversified in products and exploded in volume of trade, with the growth of new market sectors for creating and processing spatial data such as GIS and CAD, and new spatial info products such as geodemographics.  This is particularly the case in the era of big data, where there is now a deluge of diverse types of continuously produced georeferenced data (principally through GPS and zip code), including digital CCTV, clickstream, online and store transactions, CRM, sensors and scanners, social media, wearables, IoT, and so on.

The data produced from these sources has become a highly valuable commodity and they have led to the rapid growth of a set of data brokers (sometimes called data aggregators, consolidators or re-sellers) who trade in a number of multi-billion dollar data markets.  Data brokers capture, gather together and repackage data for rent (for one time use or use under licensing conditions) or re-sale.  By assembling data from a variety of sources data brokers construct a vast relational data infrastructure.  For example, Epsilon is reputed to own data on 300 million company loyalty card members worldwide.  Acxiom is reputed to have constructed a databank concerning 500 million active consumers worldwide, with about 1,500 data points per person, and claim to be able to provide a ‘360-degree view’ on consumers (meshing off-line, online and mobile data).  It also manages separately customer databases for, or works with, 47 of the Fortune 100 companies.  Datalogix claim to store data relating to over a trillion dollars worth of offline purchases.  Other data broker and analysis companies include Alliance Data Systems, eBureau, ChoicePoint, Corelogic, Equifax, Experian, Facebook, ID Analytics, Infogroup, Innovis, Intelius, Recorded Future, Seisint and TransUnion.

Each company tends to specialize in different types of data and data products and services.  Products include:

  • lists of potential customers/clients who meet certain criteria and consumer and place profiles
  • search and background checks
  • derived data products wherein brokers have added value through integration and analytics
  • data analysis products that are used to micro-target advertising and marketing campaigns (by social characteristics and/or by location), assess credit worthiness and socially and spatially sort individuals, provide tracing services, predictive modelling as to what individuals might do under different circumstances and in different places, or how much risk a person constitutes, and supply detailed business analytics.

The worry of some, including Edith Ramirez, the chairperson of the Federal Trade Commission (FTC) in the US, is that such firms practice a form of ‘data determinism’ in which individuals are not profiled and judged just on the basis of what they have done, but on the prediction of what they might do in the future using algorithms that are far from perfect, which may hold in-built biases relating to race, ethnicity, gender and sexuality, and yet are black-boxed and lack meaningful oversight and remediate procedures.  Moreover, they employ the data for purposes for which they were never generated and data are hoarded as a speculative measure that they may have future value, breaking data minimization rules that stipulate that only data of defined value should be retained.  And given the volume of sensitive personal records they are a prime target for criminals intent on conducting identity theft fraud.

Interestingly, given the volumes and diversity of personal and place-based data that data brokers and analysis companies possess, and how their products are used to socially and spatially sort and target individuals and households, there has been remarkably little critical attention paid to their operations.  Indeed, there is a dearth of academic and media analysis about such companies and the implications of their work and products.  This is in part because the industry is relatively low-profile and secretive, not wishing to draw public attention to and undermine public trust in their assets and activities, which in turn might lead to public campaigns for transparency, accountability and regulation.  Moreover, data brokers are generally unregulated and are not required by law to provide individuals access to the data held about them, nor are they obliged to correct errors relating to those individuals.  As such, there is a pressing need for us to conduct research on both the geographies of the data brokerage industry (in terms of where they are located and for what reasons) and the geographies produced by that industry; to map out their associated spatial informational economies.  At present, we have little detailed understanding of either, which is why it is difficult – for me at least – to answer list of questions posed by Agnieszka and Jeremy for this session (which are listed below).

Questions of labor, legal frameworks, and privacy

  • what is the legal status of geolocational privacy rights; privacy and national security (eg PCLOB); and legal rulings (eg Jones v. USA, Riley v. California)?
  • what is the landscape of legal geographies around spatial information/the spatialization of content?
  • are laborers in the spatialized information economy experiencing increasing “control” over them? If so, does this control reflect itself in everyday working conditions? Are these working conditions exploitive?
  • what is the status of regulatory and/or oversight over labor in this sector of the economy?
  • what are the (global) geographies of divisions of labour in the spatial information economy?

Questions of innovation, investment and technology

  • what characterizes geospatial information/product lifecycles and growth trajectories?
  • what is the context of geospatial product development?
  • on the consumer side, how are geoweb technological innovations marketed?
  • are there geographical clusters of innovation and if so what is giving rise to their concentration (eg., proximity to other capital, deregulated conditions, tax incentives?)
  • how is venture capital invested in the spatial info economy, and what are the sources of investment?

Questions of (cyber)security, surveillance, and cyberwarfare

  • in what ways is geolocation underwriting and increasingly central to the surveillance activities and practices of the securities agencies?
  • how are the decentralized, global geographies of data (deterritorialized collection and flow, reterritorialized storage and analysis) complicating the cybersecurity/cyberwarfare equation?

Industrial Heritage: Software enabled preservation of dispersed and fragile knowledge in miniature.

Developments in software and digital technology have had wide ranging impacts on our leisure time, from movies on demand on our mobiles, internet on public transport and the ‘selfie’  saturated world of social media. Yet advancements in technology have also reached creative activities that are often considered far from mainstream and groups of individuals, who though they share a common interest, may pursue their leisure activity individually and in relative isolation.

One such social group is that of model railway enthusiasts. For these collectors, builders and hobbyists the developments in software have enabled fundamental changes to the way they explore and express their interests.  Geographically dispersed and relatively few in number (estimated in the low hundreds in Ireland) software has offered a means of augmenting the traditional physical locations of interaction, socialising and knowledge sharing. Software and connectivity have enabled a network of online interactions that has linked individuals more closely with the commercial suppliers and the specialist manufacturers of the models they consume, extending the reach of the community beyond the traditional clubs or shows. It has facilitated efficient access to, and the sharing of, previously inaccessible or unknown historic and practical knowledge regarding even the most obscure topics such as window size and seat positions.  Building upon more traditional sources of historic data such as printed media and journals, software has also enabled the capture of dispersed and divergent forms of data and facilitated their transformation, via computerised production methods, into ready-to-run models with unprecedented levels of physical detail and functionality. Continue reading

Dreaming about the Cloud in rural Ireland

Late last week I, and many others I would presume, were left further behind in the digital era at the stroke of a pen. What my monthly bill cheekily termed broadband was officially no longer! In fact I never really had broadband to begin with, reliant as I am on ancient lines of copper which valiantly struggled to connect me to a quaint legacy telephone exchange deep in rural Wexford. Often it has proven more useful as an indicator of wind speed than a delivery method of zeros and ones, with wind-generated friction on the line reducing those precious few minutes of 1.2 Mbps connectivity still further on stormy evenings. Well in the US the telecoms watchdog, the FCC, has just raised the bar on what can officially be labelled as broadband, state-side at least, by redefining the minimum download speed at 25 Mbps. I can but dream! Continue reading

Ayona Datta, 'Fast Cities: New Utopias of Smart Urbanism in India'

A few weeks ago Ayona Datta, a senior lecturer in “Citizenship and Belonging” at the University of Leeds, spoke to an audience in Maynooth about the emergence of smart urbanism in India and the proliferation of the smart city discourse in the country. Titled ‘Fast Cities: New Utopias of Smart Urbanism in India’, Dr. Datta’s talk was the second seminar of this academic year from the ongoing Programmable City Project. Focusing mainly on the development of fast/smart cities in her native country, the talk also complimented a number of additional critiques of smart city initiatives that have gained resonance such as: associated technological solutionism; the depoliticalisation of the concept; the development of a project solely for an emerging tech-savvy, middle class; and the strategic framing of the concept in the near distant future amongst other notable issues. Continue reading