Part of a series for Motherboard called “Dear future,“.
Reminds me of Bristol Wireless and consume.net in the 00s… but with much higher stakes maybe…

Spatial Machinations
Part of a series for Motherboard called “Dear future,“.
Reminds me of Bristol Wireless and consume.net in the 00s… but with much higher stakes maybe…
On TVO, a public service broadcaster in Ontario, Tim Hwang, Director of the new Ethics and Governance of AI fund, talks about various issues in an accessible way:
Interesting… it seems to me that quite a bit of what Morley argues may be true for geography too.
The Question of Theory in Cultural Studies – Professor David Morley, Goldsmiths, University of London from Goldsmiths, University of London on Vimeo.
From “Engaging the ethics of data science in practice” published in Communications of the ACM, available here.
The critical writing on data science has taken the paradoxical position of insisting that normative issues pervade all work with data while leaving unaddressed the issue of data scientists’ ethical agency. Critics need to consider how data scientists learn to think about and handle these trade-offs, while practicing data scientists need to be more forthcoming about all of the small choices that shape their decisions and systems.
Technical actors are often far more sophisticated than critics at understanding the limits of their analysis. In many ways, the work of data scientists is a qualitative practice: they are called upon to parse an amorphous problem, wrangle a messy collection of data, and make it amenable to systematic analysis. To do this work well, they must constantly struggle to understand the contours and the limitations of both the data and their analysis. Practitioners want their analysis to be accurate and they are deeply troubled by the limits of tests of validity, the problems with reproducibility, and the shortcomings of their methods.
Many data scientists are also deeply disturbed by those who are coming into the field without rigorous training and those who are playing into the hype by promising analyses that are not technically or socially responsible. In this way, they should serve as allies with critics. Both see a need for nuances within the field. Unfortunately, universalizing critiques may undermine critics’ opportunities to work with data scientists to address meaningfully some of the most urgent problems.
From the Institute of Network Cultures:
Editors: Angela Daly (Queensland University of Technology), Kate Devitt (Queensland University of Technology) & Monique Mann (Queensland University of Technology).
In recent years, there has been an exponential increase in the collection, aggregation and automated analysis of information by government and private actors, and in response to this there has been a significant critique regarding what could be termed ‘bad’ data practices in the globalised digital economy. These include the mass gathering of data about individuals, in opaque, unethical and at times illegal ways, and the increased use of that data in unaccountable and potentially discriminatory forms of algorithmic decision-making by both state agencies and private companies. Issues of data ethics and data justice are only likely to increase in importance given the totalizing datafication of society and the introduction of new technologies such as artificial intelligence and automation.
In order to paint an alternative, more optimistic but still pragmatic picture of the datafied future, this open access edited collection will examine and propose what could be termed ‘good’ and ‘ethical’ data practices, underpinned by values and principles such as (but not limited to):
Chapters should be short contributions (2500-5000 words) which can take differing forms, for example:
Chapters can be theoretical takes or provocations on what Good Data is or should be, or can be case studies of particular Good Data projects and initiatives e.g. Indigenous data sovereignty initiatives, data cooperatives etc. Chapters can also be critiques of initiatives/movements which claim to be ethical but in fact fall short. All chapters, including academic ones, should be written in an accessible way and avoid the excessive use of jargon, etc. Academic chapters will be peer-reviewed. Other contributions will be editor-reviewed.
We encourage contributions from throughout the world and from different disciplinary perspectives: philosophy, media and communications, cultural studies, STS, law, criminology, information systems, computer science etc.
Proposals for chapters (up to 250 words) should be sent to Kayleigh Hodgkinson Murphy (kayleigh.murphy@qut.edu.au) by Friday 15 December 2017. Please include a brief biography (academic/practitioner) and signal what kind of chapter you are proposing (manifesto/academic chapter, etc).
If you have an idea for a chapter and want to discuss it before submitting a proposal, please contact Angela Daly (angela.daly@qut.edu.au) as soon as possible. We may be able to pair, for example, practitioners with academic authors on request.
Decisions on proposals will be made by mid-January 2017, with a first full draft of chapters to be submitted by 31 March 2018. We anticipate the book will be finalized and launched in late 2018, as part of the Institute of Network Cultures’ Theory on Demand series.
As part of the ESRC-funded South West Doctoral Training Partnership (SWDTP), Geography at Exeter has access to funding for PhD research and we’re keen to receive applications.
There are lots of opportunities for researching with some fantastic researchers, in a lively department with plenty of support – not only from the department and the university but also from the SWDTP.
We have a number of research groups and quite a few internationally renowned colleagues who cover a wide spread of research in geography. Check out some of the people currently doing their research in the SWDTP too.
You could even work with me 🙂 I’d be very interested in hearing from anyone looking to take further their research ideas broadly around technology, so please feel free to contact me.
If you’re a colleague at another institution and would like to put students in touch with us – please do! I’m happy to help with that – just drop me an email.
If you’re interested please do visit our PGR studentships information page or get in touch!
Via Nancy Baym:
APPLICATION DEADLINE: JANUARY 19, 2018
Microsoft Research New England (MSRNE) is looking for advanced PhD students to join the Social Media Collective (SMC) for its 12-week Internship program. The Social Media Collective (in New England, we are Nancy Baym, Tarleton Gillespie, and Mary Gray, with current postdocs Dan Greene and Dylan Mulvin) bring together empirical and critical perspectives to understand the political and cultural dynamics that underpin social media technologies. Learn more about us here.
MSRNE internships are 12-week paid stays in our lab in Cambridge, Massachusetts. During their stay, SMC interns are expected to devise and execute their own research project, distinct from the focus of their dissertation (see the project requirements below). The expected outcome is a draft of a publishable scholarly paper for an academic journal or conference of the intern’s choosing. Our goal is to help the intern advance their own career; interns are strongly encouraged to work towards a creative outcome that will help them on the academic job market.
The ideal candidate may be trained in any number of disciplines (including anthropology, communication, information studies, media studies, sociology, science and technology studies, or a related field), but should have a strong social scientific or humanistic methodological, analytical, and theoretical foundation, be interested in questions related to media or communication technologies and society or culture, and be interested in working in a highly interdisciplinary environment that includes computer scientists, mathematicians, and economists.
Primary mentors for this year will be Nancy Baym and Tarleton Gillespie, with additional guidance offered by other members of the SMC. We are looking for applicants working in one or more of the following areas:
Interns are also expected to give short presentations on their project, contribute to the SMC blog, attend the weekly lab colloquia, and contribute to the life of the community through weekly lunches with fellow PhD interns and the broader lab community. There are also natural opportunities for collaboration with SMC researchers and visitors, and with others currently working at MSRNE, including computer scientists, economists, and mathematicians. PhD interns are expected to be on-site for the duration of their internship.
Applicants must have advanced to candidacy in their PhD program by the time they start their internship. (Unfortunately, there are no opportunities for Master’s students or early PhD students at this time). Applicants from historically marginalized communities, underrepresented in higher education, and students from universities outside of the United States are encouraged to apply.
PEOPLE AT MSRNE SOCIAL MEDIA COLLECTIVE
The Social Media Collective is comprised of full-time researchers, postdocs, visiting faculty, Ph.D. interns, and research assistants. Current projects in New England include:
SMC PhD interns may also have the opportunity to connect with our sister Social Media Collective members in New York City. Related projects in New York City include:
For more information about the Social Media Collective, and a list of past interns, visit the About page of our blog. For a complete list of all permanent researchers and current postdocs based at the New England lab, see: http://research.microsoft.com/en-us/labs/newengland/people/bios.aspx
New Geographies of Automation?
Please send submissions (titles, abstracts (250 words) and author details) to me by 31st January 2018.
This session invites papers that respond to the variously promoted or forewarned explosion of automation and the apparent transformations of culture, economy, labour and workplace we are told will ensue. Papers are sought from any and all branches of geography to investigate what contemporary geographies of automation may or should look like, how we are/could/should be doing them and to perhaps question the grandiose rhetoric of alarmism/boosterism of current debates.
Automation has been the recent focus of hyperbolic commentary in print and online. We are warned by some of the ‘rise of the robots’ (Ford 2015) sweeping away whole sectors of employment or by others exhorted to strive towards ‘fully automated luxury communism’ (Srnicek & Williams 2015). Beyond the hyperbole it is possible to trace longer lineages of geographies of automation. Studies of the industrialisation of agriculture (Goodman & Watts 1997); Fordist/post-Fordist systems of production (Harvey 1989); shifts to globalisation (Dicken 1986) and (some) post-industrial societies (Clement & Myles 1994) stand testament to the range of work that has addressed the theme of automation in geography. Indeed, in the last decade geographers have begun to draw out specific geographical contributions to debates surrounding ‘digital’ automation. From a closer attention to labour and workplaces (Bissell & Del Casino 2017) to the interrogation of automation in governance and surveillance across a range of scales (Amoore 2013, Kitchin & Dodge 2011) – the processes and experiences of automation have (again) become a significant concern for geographical research.
The invitation of this session is for papers that consider contemporary discussions, movements and propositions of automation from a geographical perspective (in the broadest sense).
Examples of topics might include (but are certainly not limited to):
This episode of the ‘Talking Politics‘ podcast is a conversation between LRB journalist John Naughton and the Oxford Internet Institute’s Professor Phillip Howard ranging over a number of issues but largely circling around the political issues that may emerge from ‘Internets of Things’ (the plural is important in the argument) that are discussed in Howard’s book ‘Pax Technica‘. Worth a listen if you have time…
One of the slightly throw away bits of the conversation, which didn’t concern the tech, that interested me was when Howard comments on the kind of book Pax Technica is – a ‘popular’ rather than ‘scholarly’ book and how that had led to a sense of dismissal by some. It seems nuts (to me, anyway) when we’re all supposed to be engaging in ‘impact’, ‘knowledge exchange’ and so on that opting to write a £17 paperback that opens out debate, instead of a £80+ ‘scholarly’ hardback, is frowned upon. I mean I understand some of the reasons why but still…
Quite by chance I stumbled across the twitter coverage of a UK Authority event entitled “Return of the Bots” yesterday. There were a range of speakers it seems, from public and private sectors. An interesting element was the snippets about the increasing use of process automation by the UK Government.
Here’s some of the tweets I ‘favourited’ for further investigation (below). I hadn’t quite appreciated where government had got to. It would be interesting to look into the rationale both central and local government are using for RPA – I assume it is cost-driven(?). I hope to follow up some of this…
Chris Hall @cabinetofficeuk – Over 10k robots now at work in 57+ processes @HMRCgovuk#ReturnOfTheBots pic.twitter.com/jRHvbZtzcG
— Helen Olsen Bedford (@helenolsen) November 14, 2017
“Within 3-5 yrs robotics will be commonplace in government” https://t.co/u8YiQLX7Ae
— Helen Olsen Bedford (@helenolsen) November 14, 2017
@cabinetofficeuk & @CapgeminiConsul partnership aims to take 1-2 years off time for UK #publicsector to adopt #robotics process automation https://t.co/OFVOsGNTlL #ReturnoftheBots pic.twitter.com/TcpnGJKacK
— UKAuthority (@UKAuthority) November 15, 2017
What’s the potential of #RPA in government? #ReturnOfTheBots pic.twitter.com/mFip6tbkTf
— Marcus Ferbrache (@marcusferbrache) November 14, 2017
Highlight 1. Prof Birgitte Andersen @BigInnovCentre suggests we should be thinking about ‘the new rules, norms and standards for delivering public services with regards to AI’ #AI #returnofthebots @UKAuthority pic.twitter.com/E8njgSa5aS
— Jon Robertson (@JonSRobertson) November 14, 2017