Tag Archives: data manifestation

Sensing Climate Change through Empathic Encounters

This is a slightly tweaked version of a presentation I gave recently for a Fellowship application. My proposal was to use the Fellowship to advance the work I have started this year in adapting the processes of data manifestation developed in the Lifestreams project in creating tangible artefacts that communicate the complexly interconnected phenomena of climate research. And to also weave into this narrative approaches inspired by other cultures (especially non-Western “indigenous” peoples) who have developed other ways of recording and sharing knowledge of change over long timespans.

I see art as a way of life, a way of being, rather than the things I make. My practice is founded on bringing the sensibility of being an artist into direct contact with the world through the collaborations I undertake in different contexts and places and with the different communities which I engage with.

As an artist my goal is not to put artworks into galleries, but to weave art into everyday life – not as an exception or decoration, but as a vital and transformative process.

The way I do this is to create the conditions for stories to emerge from the material and interactions of these collaborations, and to help communicate the values expressed by the participants to others: storymaking instead of storytelling.

My interests are transdisciplinary – exploring the intersections of Art, Design and Science and two key strands in my work are Data Manifestation and Public Authoring. These two strands delve into the heart of how artistic practice can assist us in making sense of and defining values about our complex selves and environments: through sensory engagement and knowledge creation, documentation and dissemination.

My proposal focuses on climate change – and specifically on exploring alternative ways to allow people to appreciate and make sense of the complex interdependent interactions between different climate phenomena that are more often isolated and presented independently of one another. Mainstream debates over the past 30 years have tended to treat ‘climate change’ as a series of individual issues – such as the ozone layer, carbon dioxide emissions, global warming, sea ice reduction and glacial melt. In parallel the measures to ‘deal’ with them are often presented as separate strategies too. Whilst we know, in the abstract, that we live within a single global ecosystem, it is passingly rare to see these issues presented in ways that help us understand and relate to their interdependencies.

I propose to use data manifestation and public authoring as experimental means to generate opportunities for people to experience empathic encounters that go beyond the instrumentality of two dimensional graphs and visualisations. In particular I hope to explore more spatial and architectural expressions which can trigger a range of human senses in making meaning from data about climate change.

These are what I call “reciprocal entanglements” where people encountering the work perceive themselves in a direct relationship with it and with meaning making, thus transforming their understanding of issues that are at the heart of humanity’s future.

Over the past few years I have been working with indigenous people in Papua New Guinea and Vanuatu on adapting, for their situation and purposes, some of the public authoring tools and techniques I’ve developed.

This has been a mutual exchange of cultural practices intended to reinvigorate intergenerational sharing of traditional knowledge. They hope to preserve their traditional and dynamic way of life from being overwhelmed by the changes wrought by money and industrialised resource extraction. In our terms, they seek to retain their culture’s resilience and sustainable relationship to their specific environment and not be subsumed into our Western worldview. This relationship has given me new perspectives on how environmental change is experienced, understood and shared – where knowledge of such things is inherently local. It is deeply and necessarily intertwined with the daily practices that are required for subsistence, as well as with the community memories stretching back many generations.

My aim is to investigate different ways of making the complex data about climate change tangible for people in post-industrialised societies who do not have the kind of direct and proximate connection to land, sea and the natural world that their ancestors had or that those communities have who still live in rural, often pre-industrialised settings.

Recently I have been inspired by reports on comparative studies of Aboriginal stories and traditions in Australia with scientific evidence of environmental change. These studies have exposed remarkable accuracy in the stories (to within one generation of accuracy) over very long timespans when describing phenomena such as sea level changes. I believe these stories and traditions persist in such cultures because they are neither remote nor alienated from context. They remain proximate and directly relational to the people who have lived with and through them.

How then, might it be possible to devise ways to express environmental change across time for urbanised people in the post-industrialised world – like ourselves – who do not experience such proximity on an everyday basis? And whose life choices will increasingly be made within the context of momentous changes in how we live our lives?

I see my engagements with climate scientists, social and cultural geographers and others doing research and other activities as a form of reciprocal entanglement too. Using tools I’ve developed for public authoring, such as the bookleteer formats, I propose to conduct an auto-ethnography of this process. By sharing my practice and experience of artistic fieldwork in an open and collaborative manner, I hope to stimulate discussion and debate, as well as to invite others to participate. I hope to weave together some of my experiences of working with indigenous people and their insights, with the observations and data of climate science to help us understand the effects and impacts of our actions, to to help us think about what are future choices might be.

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Data Manifestation Talk at ODI

Video of my talk at the Open Data Institute on Friday 17th June 2016:

For further details, read my post, How Do We Know?

How Do We Know?

The following is the text of a ‘provocation’ I gave at the Responsible, Ethics-Aware Research and Innovation in Data Science symposium hosted by the Alan Turing Institute in March 2016. For the event, my colleague Stefan Kueppers and Professor George Roussos at Birkbeck University of London generated a new set of Lifecharm shells using data from a research trial with sufferers of Parkinsons Disease. We 3D printed multiple copies of 4 shells which were given to the participants as a tangible souvenir of the data manifestation concept.

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I’m going to speak today about a concept I call “data manifestation” and how I believe it can add a significant dimension to data science and how we make meaning from data.

First I wish to pose a question –

How do we know what we know?
And how do we make meaning from what we know?

The answer is, of course, through the interaction of our senses with the stimuli coming in to them from the external world – and how this is processed by our consciousness and woven in together with our memories and emotions.
This is a system of high complexity and entanglement. It produces judgements based on multiple factors and dimensions all working together.

I believe that this is qualitatively different to the kinds of inference driven systems that are increasingly coming to dominate our civilisation and how it operates.

For instance: when we feel that something we have eaten is delicious, how do we know this?
It is not just the taste that defines this judgement, but includes many other factors such as smell, look, texture, sound, shape and size, whether it invokes memories, or causes a momentary shift in our sense of balance. If each of these factors is seen as a data input, how would we begin to map such complexity into the decision-making systems of today?

Art and aesthetics are another example of this complexity. When you encounter a work of art the experience itself which determines your aesthetic reaction to the piece – whether one of awe, delight, revulsion or indifference – is driven by similar complex factors. The use of materials, colour, scale, lighting, etc as well as memory and emotion create each person’s own aesthetic experience. There can be no right or wrong aesthetic experience, only how each individual experiences a work of art in relation to the summation of their own existence.

Much of the data that is captured, recorded, analysed and used as the basis of inferential decision making systems in the everyday world is principally derived from visual interfaces, from the writing of the software that generates it to the representation of the data in screen-based visualisations – from spreadsheets, to graphs and animations. There are in a few cases some sonic representations of data, and in extremely rare cases some haptic interfaces. But on the whole the way we create, analyse and present data is visual and screen-based.

But not all experiences are visual. And my proposition is that by failing to encompass the whole and extraordinary sensitivity and careful tuning of the human sensorium in our methods of expressing data we are missing huge potential.

Back in 2012 Proboscis was commissioned to collaborate with scientists at Philips Research Lab in Cambridge as part of a public art programme. We were asked to explore the problem posed by the failure of commercial biosensor devices to engage people in leading more healthy lifestyles. Essentially the FitBits, Fuelbands and similar devices were being switched off within a few weeks of activation. Philips is a big player in the separate business of TeleHealth (where people with serious medical conditions have instrumented homes that record and transmit data to health professionals and back to the users). They were interested in how these emerging life-tracker devices could have positive well-being and health benefits for nominally healthy people over the long term. But the usage data suggested this was simply not happening.

Looking at the problem, our insight as artists was that this was an issue of relevance to people’s sense of their own self, to their identity. Our hunch was that the ways in which the narrative of a person’s life helps construct their sense of self were just not being engaged by the graphs of data represented on smartphone screens or laptops. Humans frequently invest meaning in objects that act as triggers for memory and personal significance. These can be highly ritualised objects such as wedding rings or other kinds of jewellery. They can also be seemingly random objects, such as a piece of cloth or a pebble from a beach. With all these things, the memory is evoked not just by the sight of the object, but through other factors such as the way it feels.

Our insight was to connect this tactile relationship to meaning with the kinds of data that could be collected by tracking devices. We built a simple data logger with off the shelf components and collected a range of data over a week from members of our studio: step count; pulse rate, sleep patterns, blood pressure, stress factors etc.

My colleague Stefan Kueppers then developed an algorithm based process to flow this data into a shape that could be 3D printed. We looked to nature for inspiration and realised that the mathematics and geometries in shells would allow for extraordinarily complex and unique expressions of data in a 3 dimensional form. Here are a few examples of the objects we made from our own biodata. We called these “Lifecharms” and the project, “Lifestreams”.

What I am going to show you next is our latest experiment. We have been collaborating with Professor George Roussos at Birkbeck (where Stefan is currently working on his PhD about the Lifestreams work) to adapt and extend the data manifestation concept to other uses.

Birkbeck have been running a data collection project working with Parkinson’s Disease patients – mapping the wide variation of symptoms that they experience. Parkinsons is a disease encompassing high variability in symptoms between individuals; ideally this ought to imply a high degree of personalisation in their medical care and disease management regimes. Yet health policy and medical care management for Parkinson’s sufferers are determined by a ‘scale’ (called the UPDRS) derived from about 70 factors of motor performance criteria a Parkinsons patient is classified against. These factors are collapsed into a single “summary statistic”, which is then used to assign treatment for patients according to where they lie on the scale. Whilst this is an effective way to communicate the multiple dimensions of Parkinson’s on a linear scale of progression, because of the enormous variation it is common for people with entirely different symptoms to score similarly on the scale, yet require very different care.

For patients and health professionals alike, finding ways to express the unique characteristics of an individual’s actual experience of Parkinson’s would be a big step both for personal dignity and as a way to convey the wide variations in an easily appreciable manner to policymakers.

What you see in these four examples here, a version of which you are being given to take away and keep, is an expression of three data sources from four individuals who participated in the Parkinson’s trial, each mapped in 3 dimensions into the form of a shell. They demonstrate the clear variations in symptoms experienced by these individuals. The data used were :

1) Tremor in the Left Hand – which maps to how much the spiral of the shell stretches outwards.

2) Left Leg Agility – which maps to the overall growth scale of the shell (i.e. how big it gets in terms of volume)

3) Two Target Fingertapping (Left Hand) – which maps to the change in the frequency of the recurring ridges on the exterior of the shell.

These four shells are only a very initial experiment and there are many more factors that we will be able to control with data sources from the trial in future iterations, such as the number and increment of rotations, ripples in the curve of the shell exterior, the sweep curve of the main shell, twists in the shell curve, other geometric entities occuring on the shell surface (spines and nodules) as well as the number of segments that make up the whole shell.

A key indicator in Parkinsons is how it affects a person’s left and right sides of their body so, in the future, we also propose to develop twin or “clamshell” forms that spiral out from a common centre and reflect differences recorded between a person’s left and right symmetries.

As you can see, and soon feel, even with just 3 data sources informing the shell growth parameters, it is possible to appreciate the individuality of each person in a way that is qualitatively different to looking at a graph. As we introduce more granularity and complexity, the individuation will become even more pronounced.

Taken as snapshots, such shells, could over time reflect the changes in Parkinson’s symptoms as experienced by sufferers.

What use is this? We believe that this kind of approach offers a very different and rich way to express complex datasets for making meaning in a world where data is ubiquitous, is increasing exponentially and – as we are constantly being told – is overwhelming us.

My proposition is that in this way we can find alternative ways to make meaning and take decisions based on human insight and judgement from complex data sets. We don’t just have to simplify and summarise data in linear ways to make it easier to represent visually on a screen, we can also use our other senses – touch, sense of scale and balance, taste, smell, hearing, time and temperature. We can also benefit from other knowledge traditions (as well as contemporary science) and apply methodologies and critical analysis from the arts and humanities, such as aesthetics, to make meaning and draw judgements from highly detailed material artefacts that reify complex data sets into actual things, not just representations on a screen.

Thank you.

Characteristics of the Shells

Shell 1 – spiral not so pronounced, which indicates that the left hand tremor amplitude is not so strong; the shell size is quite big indicating the patient has significant increase in amplitude of left leg tremor; the ridges are also become quite pronounced indicating that there is a growng lack of accuracy and slowness in finger tapping.

Shell 2 – the spiral is at the higher end, suggesting the patient has a higher amplitude of left hand tremor; the shell size is a bit smaller so the patient experiences less left leg tremor amplitude; the ridges are very small indicating a higher degree of accuracy and speed in the patient’s finger tapping.

Shell 3 – the spiral is a median, indicating a moderate but not pronounced amplitude of left hand tremor; the shell size is slighty above average, suggesting increasing tremor in the left leg; and the ridges are fairly pronounced suggesting a greater lack of accuracy and slowness in finger tapping.

Shell 4 – very pronounced spiral suggesting very high amplitude of left hand tremor; shell size is smaller indicating less amplitude of left leg tremor; the ridges are very pronounced suggesting a high lack of accuracy and slowness in finger tapping.

Reciprocally Entangled

This statement of my current thinking on the topics of agency, data and quantum computing was originally presented to the Human Centred Computing research group at the University of Oxford on October 1st 2015. The group, with whom I have been developing a dialogue since Spring 2014, is led by Professor Marina Jirotka and has a particular focus on Responsible Research and Innovation. They are involved in embedding RRI into NQIT – the Networked Quantum Information Technologies Hub based at Oxford. I have made a few changes to the original text inspired by the group’s extremely thoughtful comments and discussion.

Introduction
At the core of all my work and projects over the past 20 years is the theme of agency. By that I mean our ability as humans to act on our own initiative, to make informed decisions and choices. To be willing actors rather than directed subjects in all areas of life. In my experience open and transparent communications are fundamental to such an aspiration, and many of my projects explore ways and means of enabling people to communicate and interact with other people and systems to achieve this.

Looking back, there is a clear trajectory in my work which emphasises that systems should engage people and empower them, not seek to condition their experiences or shape their lives. From my work on the convergence of mobile phones with wireless internet and GIS mapping technologies in the early 2000s which has been described as a kind of proto-social media (Urban Tapestries), to experiments with sensors and platforms for citizen science style pollution mapping (Feral Robots & Snout), as well as experiments in data manifestation as a critique of the quantified self meme (Lifestreams). In my opinion, too often the technologies that are deployed across society are not intended to benefit all, but are contingent on bringing benefit to a privileged few – those who build them and those who commission and own the systems being built.

I believe that human individualities and different people’s idiosyncracies of learning and understanding are crucial social assets that enrich our collective experiences of life. I want to explore how we can design systems that adapt to these values and incorporate their dynamic into their very fabric. I want to find alternatives to the expanding deployment of systems and technologies that shape and manage behaviour by imposing rigid and inflexible decisions or choices. I believe that we need to question and challenge the mindset that sees the efficiency of algorithms and data-driven inference as the pinnacle of how human societies should be run.

One of the ways I think we can begin to revolutionise our relationship to data is by bridging the biological and digital. If we can design ways to utilise the whole human sensorium (not just vision and hearing) for sense-making and interpretation, then I believe that we can make complex information tangible and appreciable in richer and more nuanced ways. This means departing fundamentally from normative data representations on computer screens. It means embodying them in reciprocally interactive engagements that afford us greater use of our highly developed senses – what I have been calling “data manifestation”. This could allow us to experience data in ways that reveal things we have hitherto not considered possible. It may also reveal contingencies and limitations in what kinds of data are being collected – and may lead us to collect different kinds of data that have perhaps been overlooked.

How might we enliven relations between humans and machines so that they can be mutually influential rather than unbalanced in favour of one side or the other? I suspect that the promise of quantum computing, with its multiple states, may offer something along these lines, but only if we, as researchers and designers, have the courage of our imagination to make such a future possible.

Entangled Engagement & Quantum Computing
I have been thinking recently about the nature of entanglement – as far as I can understand it as a lay person not a scientist – and how the highly metaphoric language itself suggests an unintentional or, at least, ambiguous state. If we think about how we use the word ‘entangled’ in everyday situations it is to describe something, or some things, that have become entangled accidentally – without the deliberate decision to do so.

I have titled this statement “reciprocally entangled” because I think that the promise of quantum computing is one we must have agency with and choose to engage with, rather than unwittingly becoming caught within. That we might deliberately choose to enmesh ourselves with a system that, like humans, can be more than a cascade of rules and simple on/off decisions, would be a significant revolution in how we decide to run our societies.

I think that this idea of ‘unwitting entanglement’ characterises many of the fundamental problems we are experiencing with the so-called Big Data revolution, where we have suddenly begun to find ourselves subject to systems that are ruled by inference and not by balanced judgement. My proposition is that just as we might think that our society and civilisation has become enmeshed in a complex set of interlocking inference systems which define people’s lives in ever more intrusive ways, so might we begin to think of quantum computing – and being reciprocally entangled with such a system – as being closer to the kind of complex and consciousness-driven judgement that previously defined our choices and decisions (since, say, the Enlightenment).

More and more, the effects of decisions made by data-driven inference are coming to pervade aspects of our everyday lives. It is not always clear how such systemic decisions are arrived at, but it is undeniable that people are both shaping and having their choices shaped as an affect of the increasing reliance on so-called Big Data systems. A kind of blind self-governance that could so easily tip over into forms of self-censorship, self-privation and self-denial.

Such choices are most visible to us on an everyday level in the recommendations we see in internet shopping (“you’ve bought this and might like that”) and what social media systems select to populate our profile feeds (both adverts and posts by our connections). Their use in electronic financial services is widely known of, but little known about – obscured behind a veil of exclusivity, secrecy and the disparities of wealth and power. The role of such systems in health is also increasing, driven as much by attitudes towards risk and liability in the health insurance industry as by advances in medicine, wellbeing and disease prevention. These opaque applications remain worrying precisely because they flow against the transparencies of fairness and democracy that our society has been implementing over the past few centuries.

But what if we can rethink how we interact with systems as reciprocal engagements? And what if we were to see them as entangled relationships at the same time?

Perception is more than simply seeing
How humans perceive and create meaning is an associative process that is fundamentally different to inference from data. It is an expression of the difference between consciousness and a structured system; and, furthermore, it is more than what is offered by systems that mimic ‘neural nets’. Aesthetics and how we make meaning from artworks gives us a concrete example of how this operates in practice. Aesthetics cannot be taught, but flows from a dynamic interweaving or perhaps an entanglement of our memories and experiences with our physical senses. At each moment of experiencing something in an encounter with an artwork – writing, painting, sculpture, music or performance – we are existing in an entangled moment blending the now with the summation of our conscious sense of self. We are not inferring meaning (as a structured data-driven system might), but actually making meaning from the experience itself.

So-called neuro-aesthetics has sought to find a physical explanation of this process in the chemical reactions in the brain. But so far it has not been able to,

“ Objects are not triggers for internal events in the nervous system; they are opportunities or affordances for our continuing transactions with them. …
Art is experienced in the setting of argument, criticism, and persuasion. This is all compatible, Kant realized, with the fact that there is no way of adjudicating disputes in this area, that there are no decision procedures, no rules, no way of proving who’s right and wrong.”
Alva Noë, How Art Reveals the Limits of Neuroscience, The Chronicle Review

Beyond Visualisation : Embodied Entanglements
What if we can bridge the digital and biological by utilising the whole human sensorium for sense-making and interpretation – going beyond just vision and hearing? What if we could make complex data tangible and appreciable to a range of human senses? Embodied and felt instead of just seen and heard. In turn the experiences could be fed back in to data systems as a new set of parameters that could adjust the nature of systems that use the data. This was the theme of my Creativeworks residency with the Computer Science department at Birkbeck in Autumn 2014. The workshop I devised to help communicate the potential of multisensory expressions of data has been a crucial step in continuing to develop the ideas begun with the Lifestreams collaboration with Philips Research in 2012.

What I hope to do next is to embark on a journey of collaboration and discovery to demonstrate the potential for social change that could be unleashed by developing multisensory interactions with the digital data that is increasingly measuring, being analysed and governing our daily lives. Humans have extraordinary sensory capabilities which are not currently being used in how we encounter data – principally through screens (sight), occasionally sound and, rarely, through haptics (touch). I believe that this leaves us impoverished. By expressing digital data in new forms we could unlock entirely new modalities for recording, sharing and understanding how we live our lives : from experiences of illness and rehabilitation via biosensors to how we make sense of the Big Data that now shape and govern our society.

I hope to explore this theme along a series of trajectories and to demonstrate – to scientists, technologists, designers and policymakers and to the wider public beyond – how we could create transformational ways for people to engage with and make sense of data. I aim to work collaboratively (with old and new partners) to develop projects and experiments that express digital data in different ways that engage human biological senses other than just sight and hearing – such as touch, smell, taste, balance, temperature, proprioception and time etc. I am particularly keen to engage with researchers in the biological and life sciences (and hybrid fields such as computational biology) to create a bridge between how people interact with and make sense of the biological world around us, and with digital systems.

Documenting Traditional Knowledge in Papua New Guinea
Alongside these concerns I am working with Professor James Leach and a community of indigenous people (from Reite village) living a traditional way of life in the jungle in Madang Province, Papua New Guinea. There we are co-developing a simple hybrid digital/physical toolkit for people to self-document local traditional knowledge of plants, customs, design and productions techniques (TK Reite Notebooks). The tools and techniques we are co-designing there are based on my pioneering work since the late 1990s in hybrid digital/physical publishing. It uses the Diffusion eBook format, a unique paper folding method invented in 1999-2000, as well as the bookleteer.com self-publishing platform which was created and launched in 2009. This is another form of what I have called “public authoring” – making it possible for people to communicate things of value in open and shareable ways.

What is clear is that Reite people’s culture doesn’t consider knowledge as a series of static objects – in the Cartesian tradition of Western Knowledge – but as relational. Knowledge is constructed and exists in the relations between humans that hold it, share it and pass it on to future generations. It is always contextual and situational. To me, this establishes a conceptual link with what I have been exploring in my data manifestation work – that how we develop understandings of information and the ways it can be encoded in forms or media is located in the experience of the encounter, and our conscious ability to reweave our experiences in the present with those in our memories of the past.

One of the most striking things about this project is the difference between traditional anthropological ethnography and self-documentation that emerges from its results. What people choose to value and document may not necessarily be intelligible to outsiders, or of any interest. This flows against the mainstream of anthropology and ethnography which seeks to observe, understand and explain a culture to others. I feel that my conception of public authoring is akin to the aims of the originators of Mass Observation, who proposed an “anthropology of ourselves” back in the late 1930s. They thought that it was important for ordinary people to document ordinary life, and developed a framework that encouraged people from all walks of life to record and submit reports on things, customs, events and behaviours which they observed. Mass Observation and public authoring are both creative activities that seek an audience beyond their immediate community, yet at the same time they are the outputs of people attempting to record their own world and values for themselves.

In a similar way, the lifecharms, or data shells, which we created in the Lifestreams project were expressions of data manifested into material form. As such the data itself ceased to be directly readable (as it might be in a graph or chart), but was embodied in the actual form and shape of each shell. No longer intelligible to anyone but the person whose data had been the source of the shell’s growth pattern, the lifecharms signify something without revealing exactly what. As a type of self-documentation this translation of digital data collected from biosensors and life-tracking devices begins to mirror the output of our public authoring notebooks of Reite village : fascinating to outsiders, yet unintelligible if not directly explained by someone within the community that generated them. Open to interpretation, inspirational and allusive, but never didactic. Where knowledge and communication are reciprocally entangled, not inferred.

The trajectory I sketched at the beginning of this statement – linking human agency as the core of many projects I’ve led – now connects all these thoughts on the nature of what kind of future we want to build. Is it to be one where we devise systems to manage our societies that are responsive and dynamically adapt to our interactions with them, or a future where our decisions and choices are increasing defined and shaped by algorithms designed by and for the benefit of an ever more remote elite?

Embodying Data Workshop

Last week I was in Edinburgh to run my co-discovery Embodying Data Workshop with 24 of Chris Speed‘s Design Informatics Masters students at the Art College. The workshop was devised a few months ago as part of my Creativeworks residency at Birkbeck College to introduce computer scientists to the possibilities of approaching the problem of data analysis and computation differently by manifesting data in tangible ways. Thus we may bring more of our human senses to bear on meaning making than merely relying, almost exclusively, on vision and hearing as with standard data visualisation techniques.

It is a hands-on workshop using paper-prototyping methods to explore manifesting data as physical objects – why would we do this? what sort of objects? how could it benefit data analysis and computation methods? – and is an opportunity to speculate on how we might discover new ways to generate insights into complex data sets to discern previously undetected patterns and make meaning.

The workshop starts off by engaging the participants in identifying 11 major human senses (touch, taste, smell, sight, hearing, temperature, balance, pain, time, proprioception and interception) and discussing other sensory factors. Then we begin to map how many senses we actually use in everyday activities and tasks. In this way it becomes apparent how reliant we are on multiples senses to interpret our experiences of the world around us. How much then are we missing in trying to analyse data using just our visual and occasionally auditory senses? What patterns might also exist that we are simply not able to perceive because the senses that would detect them are not being activated? The last part of this exercise asks the participants to think about data sources and types, such as different kinds of sensors or data feeds/streams as well as the kinds of data coming through – energy use, health, environmental, sales, traffic, communications etc. We then follow on by mapping how we might interrogate such data using additional senses to sight and sound. What benefits might we get from having new ways to explore big and complex data sets? What could happen when we take digital data out of the machine and into the physical world?

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This exercise is followed by a short presentation on Proboscis’ Lifestreams project: how and why we developed the life charms from biosensor data and what implications we believe it has for creating new insights into health and fitness data for wellbeing. Lifestreams provides both an actual context and talking point to discuss the difference that embodying data in the physical world – making it tangible to the senses – could have.

The second workshop exercise involves each participant using a blank StoryCube to imagine a data object of their own. I encourage them to use the 6 sides of the cube to indicate data types or streams that they might be using in their existing work or projects which could be used to generate a hypothetical data object. Then, placing their cube on a worksheet, the participants are prompted to consider how their data objects would connect with different human senses; how the objects might interact or connect with each other; whether they are personal or shared objects; what kind of conditions might people encounter them in. Participants are encouraged to consider what implications may arise from all these too.

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Finally we discuss the ideas that have emerged from the exercise and, more generally, the potential for new insights into complex datasets to emerge from creating the possibility for senses other than sight and hearing to be involved in analysis. The point of the co-discovery workshop is to allow participants to come to their own understanding of the potential and what might be possible, not to be didactic. It aims to plant a seed of curiosity by exploring the gaps and absences in our toolkits for creating new kinds of knowledge, hopefully to inspire entirely new ways of expressing data in physical or environmental forms such that we can move beyond the ghetto of the primacy of the screen.

Further Iterations
I am available to deliver the workshop to other groups (academic, cultural or corporate). Please contact me for prices and bookings. The workshop lasts about 3 hours, is suitable for a range of abilities and works best with groups of 10 and more. It has been designed to engage scientists at both postgraduate student (Masters/PhD) and professional staff level (lecturer/researcher). It works equally well with designers, artists and others who are also exploring the use of data as a creative material/medium.

Tender Shoots

Today my new role got under way as a Creativeworks Entrepreneur in Residence in School of Computer Science and Information Systems at Birkbeck University of London. Over the next three months I’ll be collaborating with George Roussos, Professor of Pervasive Computing in a very different way to how we’ve worked before (we collaborated on a couple of projects back in 2006 and 2008). This time we don’t have a specific project in mind, rather we have structured the residency as a way of embedding me within the department to bring some of my concepts and methods into the mix of practices already being used by staff and students. Specifically we are focusing on ideas around “data manifestation” and “embodying meaning” emanating from the Lifestreams project I led with Stefan Kueppers (in collaboration with Philips Research) – i.e. introducing some radical and dynamic ways of thinking about the nature of how we interact with “data” and computation.

This rather elegantly complements the other strands I have been developing and working on this year. A few months ago I was made an Honorary Research Associate of the ExCiteS research group at UCL, where I am collaborating with Professor Muki Haklay and Dr Jerome Lewis on exploring new ways of recording and sharing indigenous forms of knowledge for forest peoples. This is itself an extension of my ongoing collaboration with anthropologist Professor James Leach (University of Western Australia/CNRS Marseille) on indigenous knowledge documentation and sharing in Papua New Guinea with the people of Reite. James and I have recently been awarded funding from the Christensen Fund to continue our work in PNG over the next two years.

There are also very interesting cross-cutting currents with the project I have been consulting on this summer for Professor Helen Dawes in the Movement Science Research group at Oxford Brooke’s University. They are developing a Rehabilitation Tool to assist survivors of Traumatic Brain Injury in documenting and sharing their experiences of rehabilitation. I have been helping them devise a strategy for developing such systems from scratch to include not just the clinical and medical research perspectives, but fundamentally the ‘patient’ or TBI survivor’s perspective too. This is part of a large EU project, CENTER-TBI, so part of our work is in thinking about the implications for designing something that could potentially be rolled out across 28 countries and many languages, on top of the multifarious cognitive and physical disabilities that TBI survivors typically endure.

This last year has been a challenging shift for me, from being wholly focused on leading Proboscis and devising projects around a team of people with different talents and skills, towards a new horizon based on my own practice and how I can work personally with others. Its taken quite a while to pull enough things together to feel like I’m on solid ground again – and there are other irons in the fire that I’m hoping will begin to take shape over the next few months. I hope to be sharing more exciting projects and news as the year progresses.