AAG sessions – Critical GIScience, GeoWeb and Citizen Science

The Association of American Geographers conference is just around the corner – between 21 and 24 April, held in Chicago. I’ve already marked some sessions that I think worth noting (and was involved in the organisation of several sessions, too). Here is a list of interesting sessions, following suggestion to do so by David O’Sullivan and Jim Thatcher:

Tuesday 21st April

8:00 1187 #CritGIS: Pedagogies of Critical GIS – session exploring ‘the pedagogy surrounding critical engagement with societal implications of contemporary digital geospatial technologies’, with Matthew W. Wilson, Ellen Kersten, LaDona G. Knigge, Alexander Tarr,  Francis Harvey, and Clinton Davis.

At the same time, there is a mini-symposium of three sessions, starting with 1156 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries  (papers session) asking ‘what difference people expect better connectivity to make at the world’s economic peripheries’.

10:00 1256 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries 2 (papers session)

12:40 1456 Digital Connectivity, Inclusion, and Inequality at the World’s Economic Peripheries 3 (papers session)

Also at 12:40 1487 Where’s the Value? Emerging Digital Economies of Geolocation (panel session) with Jeremy Crampton, Rob Kitchin, Elvin K. Wyly, Agnieszka Leszczynski, David Murakami Wood, Julie Cupples and
Sam Kinsley

2:40 1587 #CritGIS: Social Justice and GIS: Past, Present, and Future –  aimed to ‘reflect, reconsider, and prognosticate on the social, political and ethical issues that GIS brings to bear’ (papers session)

Wednesday 22nd April

For most of the day, there are four sessions dedicated to reflection on Public Participatory GIS or Participatory GIS.

8:00 2153 Looking Backwards and Forwards in Participatory GIS (Papers session)

10:00 2253 Looking Backwards and Forwards in Participatory GIS: Session II (Papers session)

1:20 2453 Looking Backwards and Forwards in Participatory GIS: Session III (Papers session)

2:40 2553 Looking Backwards and Forwards in Participatory GIS: Session IV (Panel session), including Bandana Kar (Chair), and Renee Sieber, Nancy J. Obermeyer, Melinda J. Laituri and myself as panellists.

In Parallel, there are a set of session on critical studies of data and crowdsourcing, including

8:00 2125 Critical Data, Critical Technology: In Praxis (papers session) a session exploring ‘how practitioners are mobilizing data, technologies, and analytics in ways that resonate with ‘critical data and technology studies’.’

10:00 2225 Critical Data, Critical Technology: In Theory 1 (papers session)

1:20 2425 Critical Data, Critical Technology: In Theory 2 (papers session)

After these symposia, there is a citizen science / VGI papers session

3:20 2543 Utilizing Citizen Science for Supporting Geospatial Applications

Finally, there is a papers session about Critical GIS and teaching

5:20 2627 Teaching and Doing Critical GIS in the Undergraduate Classroom ‘This session focuses on the challenges and possibilities of teaching and doing critical GIS in the undergraduate classroom.’

Thursday 23rd April

8:00 3153 Big Data – Perils and Promises (papers session) ‘This session focuses on research on big data, geoprivacy and their applications, and seeks to contribute to current debates about the usability of big data in near real-time applications (e.g., crisis mapping, network analysis).’

But also two sessions on Spatial Big Data and Everyday Life, with ‘papers along methodological, empirical, and theoretical interventions that trace, reconceptualize, or address the everyday spatial materialities of Big Data.’

8:00 3150 Spatial Big Data and Everyday Life I

10:00 3250 Spatial Big Data and Everyday Life II

10:00 3253 Citizen Science and Geoweb (papers session) ‘Given the growth of both Geoweb and Citizen Science, this session focuses on research contributing to current debates about the role of citizen science in Geoweb in generating useful data and information for scientific research’

1:20 3444 New Directions in Mapping 1: Research, jobs, and teaching outside the academy  Panel with Britta Ricker (chair) John Bailey, Andrew Hill, Charlie Loyd, Alan McConchie, and Alyssa Wright.

3:20 3544 New Directions in Mapping 2: Open Source, Crowd-sourcing and “Big Data”

But at the same time there is another critical GIS session

3:20 3545 #CritGIS: On the Political Economy of Geospatial Technologies, a panel with Eric S. Sheppard (chair), and Craig M. Dalton, Laura Beltz Imaoka, Francis Harvey and James Thatcher. ‘The panel considers the degree to which political economies have shifted in the development of GIS since its proliferation in the mid- to late-1990s’

Friday 24th April

8:00 4173 Beyond motivation? Understanding enthusiasm in citizen science and volunteered geographic information (papers session) a session that Hilary Geoghegan and I organised. ‘This session seeks to explore and debate current research and practice moving beyond motivation, to consider the associated enthusiasm, materials and meanings of participating in citizen science and VGI.’

There are two session on OpenStreetMap that Alan McConchie and I organised, Taking the 10th birthday of OSM as a starting point, this session will survey the state of geographical research on OpenStreetMap and recognising that OSM studies are different from VGI. The session is supported by the European COST Energic (COST Action IC1203) network: European Network Exploring Research into Geospatial Information Crowdsourcing.

1:20 4444 OpenStreetMap Studies 1 (papers session)

3:20 4544 OpenStreetMap Studies 2 (papers session) 

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‘Nobody wants to do council estates’ – digital divide, spatial justice and outliers – AAG 2012

At the 2012 Annual Meeting of the Association of American Geographers, I presented during the session Information Geographies: Online Power, Representation and Voice’, which was organised by Mark Graham (Oxford Internet Institute) and Matthew Zook (University of Kentucky). For an early morning session on a Saturday, the session was well attended – and the papers in the session were very interesting.

My presentation, titled ‘Nobody wants to do council estates’ – digital divide, spatial justice and outliers‘, was the result of thinking about the nature of social information that is available on the Web and which I partially articulated in a response to a post on GeoIQ blog. When Mark and Matt asked for an abstract, I provided the following:

The understanding of the world through digital representation (digiplace) and VGI is frequently carried out with the assumption that these are valid, comprehensive and useful representations of the world. A common practice throughout the literature on these issues is to mention the digital divide and, while accepting it as a social phenomenon, either ignore it for the rest of the analysis or expect that it will solve itself over time through technological diffusion. The almost deterministic belief in technological diffusion absolves the analyst from fully confronting the political implication of the divide.

However, what VGI and social media analysis reveals is that the digital divide is part of deep and growing social inequalities in Western societies. Worse still, digiplace amplifies and strengthens them.

In digiplace the wealthy, powerful, educated and mostly male elite is amplified through multiple digital representations. Moreover, the frequent decision of algorithm designers to highlight and emphasise those who submit more media, and the level of ‘digital cacophony’ that more active contributors create, means that a very small minority – arguably outliers in every analysis of normal distribution of human activities – are super empowered. Therefore, digiplace power relationships are arguably more polarised than outside cyberspace due to the lack of social check and balances. This makes the acceptance of the disproportional amount of information that these outliers produce as reality highly questionable.

The following notes might help in making sense of the slides.

Slide 2 takes us back 405 years to Mantua, Italy, where Claudio Monteverdi has just written one of the very first operas – L’Orfeo – as an after-dinner entertainment piece for Duke Vincenzo Gonzaga. Leaving aside the wonderful music – my personal recommendation is for Emmanuelle Haïm’s performance and I used the opening toccata in my presentation – there is a serious point about history. For a large portion of human history, and as recent as 400 years ago, we knew only about the rich and the powerful. We ignored everyone else because they ‘were not important’.

Slide 3 highlights two points about modern statistics. First, that it is a tool to gain an understanding about the nature of society as a whole. Second, when we look at the main body of society, it is within the first 2 standard deviations of a normalised distribution. The Index of Deprivation of the UK (Slide 4) is an example ofthis type of analysis. Even though it was designed to direct resources to the most needy, it analyses the whole population (and, by the way, is normalised).

Slide 5 points out that on the Web, and in social media in particular, the focus is on ‘long tail’ distributions. My main issue is not with the pattern but with what it means in terms of analysing the information. This is where participation inequality (Slide 6) matters and the point of Nielsen’s analysis is that outlets such as Wikipedia (and, as we will see, OpenStreetMap) are suffering from even worse inequality than other communication media. Nielsen’s recent analysis in his newsletter (Slide 7) demonstrates how this is playing out on Facebook (FB). Notice the comment ‘these people have no life‘ or, as Sherry Turkle put it, they got life on the screen

Slide 8 and 9 demonstrate that participation inequality is strongly represented in OpenStreetMap, and we can expect it to play out in FourSquare, Google Map Maker, Waze and other GeoWeb social applications. Slide 10 focuses on other characteristics of the people that are involved in the contribution of content: men, highly educated, age 20-40. Similar characteristics have been shown in other social media and the GeoWeb by Monica Stephens & Antonella Rondinone, and by many other researchers.

In slides 11-14, observed spatial biases in OpenStreetMap are noted – concentration on highly populated places, gap between rich and poor places (using the Index of Deprivation from Slide 4), and difference between rural and urban areas. These differences were also observed in other sources of Volunteer Geographic Information (VGI) such as photo sharing sites (in Vyron Antoniou’s PhD).

Taken together, participation inequality, demographic bias and spatial bias point to a very skewed group that is producing most of the content that we see on the GeoWeb. Look back at Slide 3, and it is a good guess that this minority falls within 3 standard deviations of the centre. They are outliers – not representative of anything other than of themselves. Of course, given the large number of people online and the ability of outliers to ‘shout’ louder than anyone else, and converse among themselves, it is tempting to look at them as a population worth listening to. But it is, similarly to the opening point, a look at the rich and powerful (or super enthusiastic) and not the mainstream.

Strangely, when such a small group controls the economy, we see it as a political issue (Slide 15, which was produced by Mother Jones as part of the response to the Occupy movement). We should be just as concerned when it happens with digital content and sets the agenda of what we see and how we understand the world.

Now to the implication of this analysis, and the use of the GeoWeb and social media to understand society. Slide 17 provides the link to the GeoIQ post that argued that these outliers are worth listening to. They might be, but the issue is what you are trying to find out by looking at the data:

The first option is to ask questions about the resulting data such as ‘can it be used to update national datasets?’ – accepting the biases in the data collection as they are and explore if there is anything useful that comes out of the outcomes (Slides 19-21, from the work of Vyron Antoniou and Thomas Koukoletsos). This should be fine as long as the researchers don’t try to state something general about the way society works from the data. Even so, researchers ought to analyse and point to biases and shortcomings (Slides 11-14 are doing exactly that).

The second option is to start claiming that we can learn something about social activities (Slides 22-23, from the work of Eric Fischer and Daniel Gayo-Avello, as well as Sean Gorman in the GeoIQ post). In this case, it is wrong to read too much into the dataas Gayo-Avello noted – as the outliers’ bias renders the analysis as not representative of society. Notice, for example, the huge gap between the social media noise during the Egyptian revolution and the outcomes of the elections, or the political differences that Gayo-Avello noted.

The third option is to find data that is representative (Slide 24, from the MIT Senseable City Lab), which looks at the ‘digital breadcrumbs’ that we leave behind on a large scale – phone calls, SMS, travel cards, etc. This data is representative, but provides observations without context. There is no qualitative or contextual information that comes with it and, because of the biases that are noted above, it is wrong to integrate it with the digital cacophony of the outliers. It is most likely to lead to erroneous conclusions.

Therefore, the understanding of the concept of digiplace (Slide 25) – the ordering of digital representation through software algorithms and GeoWeb portals – is, in fact, double filtered. The provision of content by outliers means that the algorithms will tend to amplify their point of view and biases.  Not only that, digital inequality, which is happening on top of social and economic inequality, means that more and more of our views of the world are being shaped by this tiny minority.

When we add to the mix aspects of digital inequalities (some people can only afford a pay-as-you-go function phone, while a tiny minority consumes a lot of bandwidth over multiple devices), we should stop talking about the ‘digital divide’ as something that will close over time. This is some sort of imaginary trickle-down  theory that is being proven not to withstand the test of reality. If anything, it grows as the ‘haves’ are using multiple devices to shape digiplace in their own image.

This is actually one of the core problems that differentiates to approaches to engagement in data collection. There is the laissez-faire approach to engaging society in collecting information about the world (Slides 27-28 showing OpenStreetMap mapping parties) which does not confront the biases and opposite it, there are participatory approaches (Slides 29-30 showing participatory mapping exercises from the work of Mapping for Change) where the effort is on making the activity inclusive.

This point about the biases, inequality and influence on the way we understand the world is important to repeat – as it is too often ignored by researchers who deal with these data.