Amy Guy

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Showing posts with label conference. Show all posts
Showing posts with label conference. Show all posts

Thursday, April 04, 2013

Inspiring and empowering: The Lovelace Colloquium, Nottingham 2013

In 2008 I was in my first year of university, and the second ever Lovelace Colloquium was held in Leeds. I was encouraged to attend by Professor Cornelia Boldyreff and then-PhD student, now-Dr, Beth Massey. Doing so may have changed my life.

At my first Lovelace, I was introduced to the very concepts of conferences, mentors and (importantly) networking. The event was, and has been ever since, a forum for thought-provoking technical talks, inspiring motivational speeches and stimulating discussions about technology-related disciplines, careers, and womens' role within this world. To attend Lovelace is to be surrounded by extraordinary and excited minds; undergraduates at the top of their game, and successful academics and industry professionals to advise and mentor. Having now been along as an attendee, a poster competition entrant and for the past two years as a judge, the conference has provided perfect annual milestones to mark my own academic progression and personal development. I have met so many wonderful people and made so many important connections thanks to this event that I genuinely think I would be in a different place today, perhaps as a different person, had I never been. I can trace back directly or indirectly to one or other Lovelace Colloquium many of the opportunities I have had to develop academically (poster presenting, inspiring conversations), professionally (networked my way to a Google internship) and personally (overcoming low self-confidence, understanding imposter syndrome and conquering public speaking).

This year's, hosted by the School of Computer Science at Nottingham University, has been no different.

For the first time ever I arrived with time to spare before registration, and got to know some of the other helpers and attendees. I was put in charge of organising posters, directed towards a room containing lots of large fuzzy blue boards, divided up the space based on the number expected in each category (First Year, Second Year, Final Year, and taught Masters) and cheerfully handed out drawing pins to entrants as they arrived.

At 10 the crowd who had gathered in a lecture theatre were welcomed by the superhuman Dr Hannah Dee, and the first round of talks began.

Instantly relevant (to me), Natasha Alechina discussed work on logic in ontologies. The use of logic can help with debugging when creating new ontologies by detecting inconsistencies (eg. fallasies, contradictions) or incoherance (eg. empty sets). The method they use is to compute a minimal set from a big graph in which nodes are statements, and they keep track of where all the statements are derived from. It was "surprisingly fast" when tested with 1600 large random ontologies, compared to state of the art methods to compute minimal sets.

Logic is also useful in ontology matching, for example Ordnance Survey vocabularies versus Open Street Map. Logic helps the process by finding what might need to be changed or removed, but human intervention is needed to make the final call.

Next up, Jemma Chambers turned out to be a brilliant speaker and surely inspired everyone in the room by telling us how she'd made the most of a career in technology over the past decade. She was in her last week as a CISCO business development manager, about to move to a similar role at Virgin Media.

She started with some statistics:

  • 51% of gamers are girls, but only 6% of those who make games are female.
  • 21% of jobs in technology overall are held by women.
  • Companies with women in their management report a 34% return on investment over companies with only males.
  • 20% of C-level (CEO, CTO, CIO, etc) leaders worldswide are female.

(Disclaimer: I may have botched the context of those stats slightly, my notes aren't very clear. But you get the idea. Also she didn't say where these stats are from).

Jemma did a year-in-industry during her degree, programming for Oracle. She was bored out of her mind coding (I'm sure some people in the audience sympathised, but probably a minority) and thus learnt what job she didn't want to do when she graduated. Instead, she joined an accounts management graduate program at CISCO, had some doubts but stuck it out, rocked hard in sales and climbed the ladder through hard work and force of will, despite various sexist or ageist behaviour directed her way. A key point here is whatever you end up doing, do it well; being successful wherever you end up opens doors to what you really want to do, if you're not already there. Especially in the big tech companies like CISCO, where moving between jobs internally is facilitated and even encouraged.

On a related note, Jemma talked a bit about the flexibility of CISCO (and other similar companies). Working hours, for example, are yours to choose so long as you get the job done. Similarly she's had no problem negotiating maternity leave, and eighteen months after the birth of her son she's working three days a week (and still feels guilty about dropping him with the babysitter).

Naturally she mentioned a few (legitimate) generalisations about women in the workplace (nothing I haven't heard before, but this is my fifth Lovelace) and followed them up with some solid advice. Women seem to attribute success to outside forces like luck, or kindness of others, where men attribute success to themselves. It's much easier to move forward if you remind yourself that you worked hard for this and deserve it.

Successful men are more likely to be percieved as likeable than successful women, who are often construed as bitches. Ignore what other people think, and don't let yourself get walked on to try and make friends. At the same time, don't let this stereotype go to your head; remember to support other women in the workplace rather than being competitive.

Women and men have different leadership styles (generally) as well as other strengths and weaknesses of their own, and it's a combination of the two that really make a successful team, not more of one than the other.

Jemma recommends reading Lean In by Sheryl Sandberg.

She also discussed the various merits of networking (of which I am happy to attest there are many!) and how to source mentors in the tech community.

This talk was a fantastic one to start the day with, especially to prompt any in the audience who might otherwise have not done so, to talk to everybody. Jemma's enthusiastic speaking style will have kept everyone engaged, too, even those still waking up.

Dr Julie Greensmith filled us in on her journey from a pharmacy undergraduate through to her current work on artificial immune systems. These are algorithms inspired by human immune systems; robust, decentralized, adaptive and tolerant. They work by knowing what is normal instead of what isn't, which is particularly useful if you don't know what attack is going to come next. Their early work, though excellent, was based on a rudimentary computer scientist understanding of how immune systems work; these days they have a more interdisciplinary team with biologists to improve things even further.

Gillian Arnold, who is exceptionally well known and officially recognised as An Inspiring Woman, was filling in for a speaker who couldn't make it. She talked through the best career moments of various people she knew, which ranged from getting software into the hands of the public to promotions and financial incentives. She also talked through a few of the stereotypical problems women have in the a male-dominated workplace, but most of what she could have said had been covered by Jemma. A pro tip for getting attention at meetings if you're being talked over is to bang the table.

Dr Hannah Dee gave us a technical talk about her current research, as well as a little background on how she got where she is. She is much happier as a lecturer as opposed to a post doc, as she gets to direct her own research areas, and isn't constrained within fields she's not totally comfortable (like surveillance). So now she's interested in time and change in nature, doing things like laser scanning and time lapsing plants to find out new things that are particularly hard to find out. Some really interesting stuff about camera hacking with the Canon development kit, which lets you write programs in Lua or BASIC, and provides the sorts of menu options you'd usually only find on a really expensive camera.

Milena Nikolic is an engineer at Google London who has worked on Google's mobile sites, integrating results from mobile app stores into search results and the Android Market / Play Store. She says she has undergone a "journey of scale", and loves shipping projects that make a real difference and are used by real people. She answered lots of questions about working at Google. As with Jemma's experience at CISCO, hours are flexible at Google, and there are no strict iterative phases for development, but projects have their own cycles. She doesn't spend as much time coding as she'd like, but this varies depending on the stage a project is in, too.

Then someone asked "why are girls scared of coding?" and a lively discussion ensued. For some reason I didn't take notes, but things I can remember that were suggested include:

  • Girls are more hesitant about diving in, or scared of breaking things. To progress with programming, you've gotta just keep trying and failing.
  • Girls are more emotionally affected if their code does fail. Guys just shrug it off and try something out. (I personally have never felt like this).
  • Girls are less likely to be exposed to programming or programming-like activities at an early age, so by the time they come across computer science they may see it as boring, too mathsy or not creative. I suspect that had I not got interested in making websites aged ten, it might have passed me by during high school, and I would have ended up doing chemistry or French at university.

There were more; I'll add them if I remember.

In between these fantastic talks were coffee, lunch and networking breaks and of course, poster judging. I teamed up with Milena Radenkovic to assess the second years, and after three quarters of an hour of lunch, plus a 'last minute' extra half-hour before the decision had to be made (thus I missed the panel discussion), we had narrowed it down to five... It was hard. Seriously. We discussed the poster content, presentation, practicality of the ideas, whether the student was showing a project they were personally involved with or intending to do (this holds weight with me) and how well the student explained their ideas in person. They were all brilliant on all counts. We negotiated splitting the second place prize in two, but still had to choose three out of our final five.

Eventually we settled on Carys Williams (quantum cryptography; University of Bath) for the first prize, and Heidi Howard (routers that pay their way; University of Cambridge) and Jo Dowdall (smart tickets; University of Dundee) for joint second place.

I only wish I'd had time to look at the rest of the posters!

I finished off the day by joining other attendees for dinner, which was all round brilliant, and resulted in a late night.

See other fantastic blog posts...

Tuesday, April 02, 2013

Resonate new media festival

Resonate, held between the 21st and 23rd of March in Belgrade, Serbia, is "...a platform for networking, information, knowledge sharing and education. It brings together distinguished, world class artists with an opportunity of participating in a forward-looking debate on the position of technology in art and culture." (from the website).

Before I left, I suggested I might return with the following:

  • Information about creative processes for digital artworks.
  • Anything to do with open data or decentralized social networking movements.
  • Potential case studies or people to work with.

I largely failed on all three counts.

I was thrown from the outset by the apparent poor organisation of the event. Not to mention a complete lack of free food. But the main problem was that well over one thousand people had tickets, but on the first day the main lecture room could hold a few hundred at best. Seating consisted of a handful of sofas and armchairs and valuable floor space was occupied by altogether too many stylish coffee tables. For everyone not lucky enough to be among the first ten in the room it was aching backs and/or pins and needles all round. This situation improved slightly after the first day, when two more tracks opened in slightly bigger rooms, but there was still nowhere near enough space. People were bursting out all doors, so switching tracks ever wasn't an option. There were also several long delays or postponements. A few were weather related, but too many (ie more than none) were organisational; lack of projector in main room, etc.

That aside, I was aware that an event labelled 'festival' wasn't going to be right at the conference end of the party<->conference scale, but I was surprised at just how much party it was. A party with thousands of people, where everybody knew someone else but me. This made it particularly difficult to interact. You might expect the opposite. Indeed, I suspect that for most people this was the perfect environment to make new friends, start collaborations etc.  I'm (usually) great at networking. I'm never great at social situations involving large crowds, a bar and loud music. I tried. But I couldn't catch anyone's eye, there was never a moment to start a conversation. The most interaction I had over three days was being elbowed out of the way by people who felt more entitled to see what was going on than me.

I might have fared better if...

...I had succeeded in getting a place at one of the workshops.  Places were very limited, but it was explained that all workshops were open for anyone to listen in on even if you couldn't participate directly.  Had I taken part in one, it would have been a lot easier to talk to some specific people.  I went along to attempt to listen in, however, to find all of the workshops (twenty or so) consisted of people grouped around tables, together in the same giant hall.  The actual participants were craning their necks, straining to hear their workshop instructor over the general clamour of the event, so it was impossible for bystanders to be involved at all.  Plus, only a couple of the workshops had (handwritten) signs indicating which they were, so there was also no way of tracking down the ones I was particularly interested in.

...I had been to any of the performances or night club tours that started about about 9pm each day and ran until the early hours of the morning.  The performances, as far as I could tell, were electronic music sets, held in night clubs or similar venues.  I don't do night clubs, and I was knackered by 7pm anyway, so that was a no go.  Having said that, it probably wouldn't have been easier to meet new people over very loud music in a place where everyone was getting drunk, so maybe I didn't miss out.

Now I've explained that, I will write a bit about the talks I did manage to get in to, which were generally interesting and of good quality.  (The itinerary I sketched out for myself beforehand differed greatly from what I actually achieved because of crowd/small room issues mentioned previously).

These aren't the only things I went to, but the only ones I took notes or tweeted about.

Marcin Ignac, talking about Data Art, showed some really cool things he's done with Plask and WebGL, including 3D data visualisations, hacking with fonts, and realtime installations like a 3D visualisation of global energy market transactions.  Plask and WebGL are capable of a lot, just in the browser.  He also mentioned basil.js, which is "a library that brings scripting and automation into layout and makes computational and generative design possible from within InDesign" (cite) which looks useful for artists wanting to get into coding.

Mike Tucker ("Unity as a Tool for Non-Games") suggested that Unity fills the creative gap recently vacated by Flash.  He started out as a Flash guy, but isn't sad or bitter about Flash's demise, and understands that it's time to move on.  His current WIP is an app to explore an abstract visual and audio landscape using the device's gyroscope.  The audio is 'physically' located in a virtual 3D world, and changes as you navigate around by moving the device in space.

Julia Laub told us about her Generative Design book, that she worked on as part of her thesis project.  She defined (with a diagram) generative design as creating choices, then making choices, rather than controlling a visual output.  She created a visualisation of Wikipedia pages that presents as a self-optimising network - as you interact with the diagram to expand the information you want to see, it rearranges itself for optimal viewing.  Her book looks amazing, and getting my hands on a copy is on my things-to-do list.

Dmitry Morozov ("An Autonomous Synthesis") showed some great circuit bent installations and sound projects; check out http://www.vtol.tk/.

Signal | Noise (oops, I didn't take down the names of the actual guys) ("Datatainment") talked about gamification of data collection.  People like "digital navel gazing"; they derive satisfaction from their own data, and comparing themselves to others.  They mentioned a "top secret" client project for which they're aiming to "quantify everything people do"... intriguing...

Lucas Werthin ("Design, Tech and Architecture for Large Scale Projection Mapping") showed us the ins and outs of an incredible project he'd worked on.. Described here (with videos).

The onedotzero screening was a compilation of digital animation work from a number of artists.  It was weird and awesome, with some inspiring visuals and music I need to listen to more (inspiring for writing fiction, not for the PhD unfortunately).  Notes I wrote during that suggested I need to listen to the music in Warsnare, and the one with the giant Catzilla in.

Markus Heckmann and Barry Threw ("Building by Doing - Visually guided design in TouchDesigner") described another easy bridge for artists who want to code.  I wrote down "TouchDesigner" in my notes during this talk, but I can't remember why now.  Find out more here.

My favourite talk was by Ivan Poupyrev ("Computing Reality").  I tweeted loads about it, but none of them got sent because the wifi and my phone weren't playing nice or something.  Fortunately I also made a ton of notes.

Ivan describes himself as an 'inventor'; he worked for Sony, and now works for Walt Disney, and he is inventing the future.  He has a great ethic and vision for the world; all about "giving people tools to make the world the way they want it to be."  He envisions a decentralisation of production; large corporations only want to make their part of the world interactive, not the whole world.  So ordinary people must have the technology to use, develop, spread, build on.

In 1999, his team created an augmented reality toolkit, before it's time.  In 2001, they developed a flexible display with is interacted with by bending it and sliding fingers around the back of the screen.  A huge amount of interactions are possible just by bending and flexing in different ways.  In 2004, Sony said "users will never accept a device with no buttons", and all early touchscreen devices also had buttons because of this.  He says the iPhone was the "fall" of the button, proving everyone wrong.  Last year (2012) the Sony PS Vita has touchback interaction, and Samsung have released a flexible display this year (2013) but "nobody cares".

Now, he says, everything has been invented already, the market is saturated with new gadgets.  He sees the future of the technology curve as embedded in people and surroundings: "no question... that it's coming to your body ... going to seep into the environment, disappear into the environment ... seamlessly, invisibly, efficiently" and describes a reality that computes itself, where "the computer doesn't have to exist at all."

Ivan was very expressive about not being any kind of "tree-hugger", but is convinced that we don't need to "make more junk".  So many resources have been used, and the earth can't support another industrial revolution.  Instead, he wants to turn everything that already exists into interactive objects, including humans, animals and plants.  That may sound weird / scary / far-futuristic but guess what... they've already done it.

Flipping interaction on its head, they're all about not changing the environment, but changing you, or your perception of the environment.  Touché is used for 'virtual tactile perception'... they can create a charged field around the human hand so that you feel things differently.  The objects themselves are passive, simple, unchanged.  The person just has to be in contact with the device that creates the field, which can be embedded in an object you're already touching like clothing, a shoe or an umbrella.  Then, with no wires or weird contraptions, the person can touch some object (like a teapot) and as the settings of the field are changed, so the texture of the object appears changed.

With this technology they can also tell who is touching something, or which part of your own body you are touching, because everything has a different electronic resistance.  An example they produced was a touchscreen drawing application that changed the pen colour depending on who was drawing, with no additional information than sensing the fingers on the screen.

Disney has the botannicus interacticus - an interactive plant.  Electrodes in the soil transform any plant into a multi-touch controller!  Gestures around the plant (à la theremin) or touching the plant in different ways, can be mapped to things like sound.  It's possible to have very high precision.  All plants are different, too!  So the same tech applied to different plants will cause different outcomes.  Video.

There's an open source version of Touché for Arduino.

Ivan also played with 3D printing, and sees this as something that will become hugely accessible to the extent that people will start to manufacture most things themselves; or at least, pop down to their local corner shop to get something printed from an existing design.

They've done some experiments with 3D printing transparent objects, and 'light pipes' which direct colours and sizes of light precisely.  They can create interactive displays by projecting light from below or behind objects and piping images onto them.

It's possible now to 3D print a broad variety of sensors.

These things result in interactive objects that respond to you, but all of the electronics are outside of the object, so you can switch one object for another one and have it work the same very easily.

He concluded with:


1. Digitizing what we already have, not making more junk.
2. Sustainability requires augmenting humans and growing your electronics.
3. Distributed manufacturing vs. mass production.





Resulting thoughts and ideas

I got a general feeling of disparity between 'art' and 'real-life', with strong suggestions that it doesn't matter if interactive, technology-powered art installations break, so long as people are compelled to play with them.  That's something I absolutely loved and absolutely hated simultaneously during my MSc in the ECA last year, and still causes internal conflict. (Ie. I understand the value of play and experimentation, but I'm passionate about things being useful and empowering, and it's possible to do both, and it bothers me when people take the easy way out, slap the 'experimental art' label on it and move on to their next solid-outcome-less project).

Despite not actually talking to anyone about what I am doing and how it might in some way link to what they do, I suspect digital artists like these kinds of people might be good use cases for what I'm trying to make.  They collaborate, have varied processes.  And are more likely than amateur YouTubers to be interested in engaging with a new experimental technology.  They could, for example, be incentivised to record their processes and actions over the course of a project, and be rewarded with visualisations of their data, and comparisons with the data of others.  (Actually making the visualisations is out of my remit, but there will be someone who can..).

A thing I should do is analyse blogs, articles, reports, etc about creative digital projects for the vocabulary about their processes.  I thought about this as one of the speakers was just describing step by step the process for one project... but I wasn't listening properly; I only realised in time to have this thought, too late to write it all down.  But there will be loads of documentation already out there that can be harvested.

I always think of my project as something that helps a lot toward connecting with others for collaborating, but a large part can be finding other art/media projects for inspiration.  That kind of pitch would sell it to this kind of audience, at least.

So that's that.  Photos from all the time I wasn't at Resonate are here.

Monday, February 25, 2013

Week(s) in review: ILWhack and JoinUpEd

11th to 24th February

I went to the Computer Mediated Social Sense-Making workshop; read about it.

I helped organise and run the Innovative Learning Week Smart Data Hack (18th - 22nd), and Edinburgh's version of International Open Data Day (23rd).  Both were successful. 

Wednesday, January 16, 2013

Digital Methods as Mainstream Methodology, London, 7 December

(Write-up about this event by the organisers here).

DMMM was a conference aimed at sociologists and anthropologists and the like, so, having never studied these disciplines in any way, I was worried I'd have no idea what was going on.

Fortunately everyone was friendly, and everyone's research was really interesting, relevant and mostly made sense to me.  You can read all of the notes I took here.

Humanities researchers are using and gathering digital data in lots of interesting and unique ways.  Using social media and other digital methods to engage with study participants (Jo Belcher, Lorenza Antonucci, Eve Stirling); sentiment analysis (Mike Thelwell); examining archives; image use in online interviews (Emma Hutchinson); e-focus groups (Ibrar Bhatt); digital records (reflections) of a creative arts process (Carole Kirk); crowd-sourcing of commercial ideas (Temitayo Abinusawa); avatars and virtual interaction spaces like SecondLife (Evelyn McElhinney); brilliant playful use of hacking to disrupt discussions about online learning (Jeremy Knox on MOOCs).

I talked about digital media on the Semantic Web, with as much of a sociology swing as I could give it given my limited expertise in that domain.  My slides, beautifully illustrated by Chloe Dungate (available for hire!  Academic slides starting at £2 a drawing!  Loves topics she doesn't understand so she can be as outrageously creative as possible!), are here.  You can see my talk notes there, too.

danah boyd, whose work I've followed more or less since my undergraduate, teleconferenced in to give a really interesting keynote called "Making Sense of Teen Life: Strategies for Capturing Ethnographic Data in a Networked Era."  She discussed working with young people for the last few years to examine their use of social networks (mostly MySpace), and all of the challenges and considerations that came up along the way.  She was surprised a lot.

The open discussion at the end raised a lot of discussion about ethics.  It was implied at one point that the content of tweets or YouTube comments are ripe for the picking with no strings attached because they're already in the public space.  It's definitely not that simple.

There's also a danger of humanities researchers being out of touch with modern techniques and best practices.  Commercial research is sometimes way ahead, but there's no communication between each end of the spectrum, so methods get developed and optimised unnecessarily.

A lot of people had experiences indicating that digital methods in humanities are often not taken seriously.  Supervisors, ethics committees, funding bodies, who have only worked with traditional methods can struggle to see the legitimacy of results gathered by digital means.  On the other hand, certain levels of ignorance can sometimes work to the researcher's advantage in terms of being allowed to get stuff done with minimal red tape (because authorities don't know what questions to ask).

Personally I was interested by this general feeling of novelty about digital methods.  Having been in computing for almost my whole academic career (not to mention a child of the Web), a lot of things were being critically and confusedly discussed that I just take for granted.  Things like the validity of friendships that exist entirely online, and feelings expressed through short-lived text alone.  I think arts and humanities researchers who really want to get to grips with digital methods as legitimate research tools should consider orchestrating placements alongside technical researchers and immersing themselves in a world where the main options are all digital by default.

[Notes] Digital Methods as Mainsteam Methodology

December 7th, 2012.

Notes as I scribbled them.  Read a proper review.

Peter Webster - Digital Resources for Social Scientists at the British Library
British Library research methods guide under social sciences.
Web about individuals and organisations is fragile, things disappear. Most site owners ignore requests for permission to archive stuff. New legal deposit legislation next year will allow scraping the Web and archiving everything without worrying about infringing copyright. Using this data is restricted; library premises or print one copy for non-commercial use. Can't use an item simultaneously with any other user.. (regulation is for print, derp)

Full text search for internet archive... open question, very complicated. Consultation going on about this. Legislation is very restrictive; need to look at data derived from dataset and how that can be made available.

Mike Thelwell - Sentiment Analysis for the Social Web
Sentiment is seen as peripheral, and often ignored, but actually it's core. Emotional reaction to tea or coffee.

sentistrength.wlv.ac.uk SentiStrength - detect strength of +ve and -ve sentiment in short text. Takes into account that text might not be gramatically correct. In social media, sentiment expressed in different ways (eg. emoticons, deliberate misspellings to embed sentiment: haaaapppyyyyyy). List of +ve and -ve term stems and strengths from -5 to 4. People disagree about sentiment surprisingly much. Something lots of people tweet about must arouse sentiment. But for big events, surge of quantity of tweets, but not surge in +ve or -ve sentiment. Lots of sentiment is implicit.

YT comments are easy to get so good source of social data. No ethical concerns about getting permission to analyse because it's already public. (hmm, no?)

Longer the text, less well it works. But does have a long text mode, with slightly different scoring.

Used by Yahoo question answering system to work out best people to give answers. Companies use it for product reactions.

Would like to see these techniques to smaller scale case studies. The most focused data stream still has loads of junk like what they had for breakfast..

Why are 1 and -1 neutral instead of 0? Because psychology - two scales, not one.

Jo Belcher - mixing traditional and digital methods to research hidden carers.

Is online support for parents and carers socially patterned like social media use? Needs to reach people who don't use the Internet, too, for comparisons. People respond in the medium they were first contacted. Treat online and offline results differently for analysis.

Lorenza Antonucci - Using social media in different phases of research process

Digital methods allow you to do something different. A lot of focus on big data and secondary digital data (twitter). Not about collecting own data, but using data already available on social media.

Might be a problem fitting secondary data into existing theoretical frameworks. So need to collect. She's looking at real vs virtual identities. Not possible to do follow up interviews just over facebook. DM help to select people. Also cross-national research. Age/generational aspects.

Jeremy Knox - MOOCs

Is learning simply the consumption of information online?
Web enabled sensors. GPS to record where he goes within MOOC - physical location and digital space together (cool).
Locations tweet when he's in the MOOC.
RFID system that allows office books to tweet content.
Experiments to disrupt and critise. Playful methods to think about the MOOC in a different way. Assemblage of human, technology and place; learning might be post-human.
Final outcome of research? Not sure.. a way to provoke thinking in what is often a closed area.
How is learning affected by physical space?

Sue Thomas - technobiophilia

O'Reilly's topsoil metaphor is cool.
Five categories about how people talk about online experiences.
Lots of nature metaphors. Metaphors aren't deliberate. We bring nature into computing because we innately want it to be there (biophilia)

Carole Kirk - Digital reflection: A method for arts practice-led research?

Questions and methods come from practical. Tacit knowledge. Capturing creative processes.
How to leave a trace of an action for reflection?
Digital methods can help.
Not a complete record, but a trace. Digital technologies that involve a high level of manipulation stimulate greater reflection. Only archives - metadata, feedback & discussion. Visible record of reflection. Process of creating records doesn't replace the practice itself. Might trigger embodied memory. Help to articulate fleeting things.
In arts, practice-led research is more about creating digital data.

Emma Hutchinson - Asynchronous online interviews and image elicitation

Async, like email or forum.
Complement interview with photos, but not used much online yet.
Identity performance of online gamers.
Images help with articulation. Lots to talk about.
Photos that do/don't get uploaded to facebook, why / why not?

Eve Stirling - Facebook profile as research tool

Undergraduate transition to university.
Lots of HE happens on fb. Looking at the every day.
Digital and physical spaces.
Personal fb is not academic, and hidden. Twitter is academic.
Ethnography is about understanding every day culture and developing trust and rapport with participants.
Fb friends are linked to study. Intrinsically linked. Does becoming fb friend need a disclaimer? Informed consent? Personal and professional lives blurring. After study - delete friends?

Me!  Digital Media on the Semantic Web.  
My slides are here.

danah boyd - Making Sense of Teen Life: Strategies for Capturing Ethnographic Data in a Networked Era

Understanding social networks before there were sns
The rise and fall of myspace.
How much can be made sense of from a distance? Engaging with own friends not like working with young people. How radically difficult it is to interpret what she sees. Young people better at encoding the information they make available, because of adult surveillance. Just because she can see their content, doesn't mean she knows what's going on.

Observes offline too. Adults help to recruit youths with different perspectives.
Thought about recruiting online but stopped. Not a good norm to start.
Make sense of online things with offline interviews (ethical things considered, parents/friends nearby).
Don't begin the conversation with online material; need them to feel comfortable first; usually an hour into the interview.

How to coordinate data? Serious challenge. Blogging about things as she's thinking through them; trying to make sense of them in a public way.
Thinking out loud, can be corrected and challenged during sense-making process. Not just experts, but her participants too.
Controversial piece about shift from myspace to fb. Got picked up overnight and got over 10k responses. Most people frustrated and angry and didn't understand where she was coming from. People came forward with quantitative data that helped. Adults attacked her for being racist; young people responded with their stories.

How public to make the young people? Don't expose them, no real names unless their already public figures. Never quotes online material exactly so people can't search to identify the young people. Visibility has consequences people don't expect or understand. Can make people more vulnerable by making them visible.

The young people could choose to make themselves visible through the process (some do).
Speak for them or help them speak?
Public in the media to make young peoples' voices heard as much as possible. Never publishes in a closed access journal.
Collaboration is in sense-making, not writing. More in intervention-driven projects.
Generally don't want to, but a few exceptions - published two papers with teenagers.

Tension between MS and research?
No, MSR is academic institution. Lots of freedom.
Teenagers expect her to fix xbox.. External perception is more confusing than internal.
Can make the case for open access in a way that lots of university scholars can't.

Problems with paraphrasing quotes from websites?
Tries to make quotes more common, found everywhere.
Her ethics about making people not more vulnerable is worth more than skimping on real quotes. Helps that she doesn't rely entirely on online data.

Says she's not good at articulating her methods.

Ibrar Bhatt - e-focus groups and e-interviews

Separate summer project on student experience for postgraduate research students, distance learners, part time students globally.
Needed in depth focus group without them being there.
How involved do the students feel in activities in the School of Education?

Different doing focus groups online - affordances and challenges.
Used Adobe Connect. Facilitator echos some questions.
Multidimensional focus group. Participants could also discuss with each other, and with researcher, over personal chat.
Guidelines - rehearsal, drop-in session, beforehand - recording of everything; can integrate their video into a transcription.

Temitayo Abinusawa - Social Networking and innovation

Technical background. How organisations use IT to promote activities.
Social networking - Internet was loads of words, chaos. Make sense of the words, then you can innovate. Can create products and services to meet needs. Good ideas that need funding. People discuss ideas online. Organisations are looking for new ideas too. Organisation can search the Web for ideas to create innovation.

Outcomes: organisations can create more for less.
Feedback is consumer interaction that takes place on the Internet. Dell IdeaStorm - turn your ideas into reality.

Openness is important, not exploitation. (Seems to be reward focussed, rather than transparent exchange culture, query).
People don't read t&c so think they're being exploited.

Evelyn McElhinney - Social virtual worlds: a new place for the avatar researcher

Focus groups in Second Life with avatars collecting, sat in chairs like IRL.
Most people aren't roleplaying, their avatars are just themselves.

Closing Discussion

Ethics

Commercial research is sometimes ahead with digital methods practices. Things happening one end aren't being noticed by other end. Need to communicate and look out for each other. Mixed methods research.

Digital methods need legitamising to be taken seriously. Sometimes people not knowing much about it can help to get stuff done.

1st International Open Data Dialogue, Berlin, 5-6 December


Read my complete notes from day one, and complete notes from day two.

The 1st International Open Data Dialogue in Berlin in December was broadly a discussion about real-world applications of Open Data.  Lots of practice, less theory.  Despite this (or perhaps because of this, now I think about it) it wasn't as technical as I expected.  Felix Sasaki [1] talked about some basic technicalities of Linked Data and the Semantic Web, kind of the first things you'd learn if you were studying it in a structured way, and I heard a lot of people afterwards complaining that that had been too technical.

Importantly, there was a real message of getting things done at this event, and plenty of evidence that a world built on Open Data is not an idealistic pipe dream, but a reality right now.  Challenges are being articulated, and solutions are being created, and problems are being overcome.

I stress this particularly because a couple of sceptics who weren't at the conference tweeted things along the lines of "Sounds like your conference is a bunch of idealist hippies preaching to the choir…"  A genuine concern, but what's really exciting is that this definitely wasn't the case.  It was instead a bunch of realist technologists with the expertise and influence to actively overcome barriers to improving the world.

Open Data is about social change and empowerment.  It is about accountability of organisations with massive influence over the lives of ordinary people.  It is not about an abandonment of personal privacy, or everybody knowing everything about everyone else.

It should go without saying (yet it still needs to be said) that it is not appropriate to blindly make all data available to everyone about every aspect of everybody's life.  But what if you had access to all of the data anyone had ever collected about your life?  Think about purchase history (shop loyalty cards, travel tickets), online activities (searches, browsing history, social networking).  All this stuff is being stored anyway, all over the place.  Often by organisations who fully intend to profit from it, presumably with your unwitting consent.  They went to the trouble of collecting it, but you went to the trouble of providing it.  It's your data too.  What could you do with it (or hire a software developer to do with it)?  Then imagine you had access to the same data from everyone in your town, aggregated and anonymised, and visualised in a nice way.  Maybe you could team up with your neighbours for cheaper bulk food purchases?  Maybe you'd realise that others had similar hobbies or problems nearby, and could form special interest or support groups?  Reduce costs by sharing transport to similar destinations (or just have some company on the journey)?

There's so much potential within data that's already held.

The UK government's Midata initiative is a massive step in the right direction [3] toward compelling commercial enterprises to hand over machine-readable datasets to consumers upon request.

In Slovakia and Kenya (and possibly others, but these were the ones that came up), there is a constitutional right to data held by the government.  Not without loopholes and other problems, of course [5, 2].

One of the obvious problems is convincing large organisations that hold lots of data (like commercial enterprise and governments) of the circumstances in which it would be in everybody's best interest to release (some of) it.  Reasons they don't include a lack of understanding of the benefits; disproportionate assessment of risks; aversion to change; a lack of technical expertise and infrastructure; "data hugging syndrome" [2]; licencing issues; outdated business models.

Nigel Shadbolt's experience says that large organisations who open data always see benefits.  It's always worth the effort.  When the data is there, suddenly developers start doing things with it; applications appear, many unexpected, and usually free.  He stressed that it's important to have a stockpile of success stories in case you need to convince someone in charge of the value of Open Data, and his favourite one was the publication of MRSA rates in hospitals (resulting in sharing of good practice, and an 85% reduction in MRSA over two years).  See a list at the end of this post for all of the success stories I came across over the course of the two days.

There were lots of discussions about the users or audiences of Open Data, and the various different roles people can have.  Most consumers of Open Data are developers, and 'ordinary people' see the data via an application.  Many won't know (or care) about the source of the data that powers the app, even if it about them.  Many will, and trust must be built for people see the value that such apps could bring to their day to day lives.  Ideally, releasing a dataset would be part of an ecosystem, rather than a one-time thing.  Data providers should value consumer feedback, and commit to good quality, up-to-date data.  Rufus Pollock wonders why every dataset doesn't have a public issue tracker, and notes that poor quality data creates wasted time, especially at hack events [4].

A successful Open Data world needs partnership between the public, media and organisations.  All of these parties need educating on appropriate combinations of the realistic potential of Open Data, and the technicalities of releasing and using it.  Michael Hörz [6] discussed the journalist perspective on Open Data; they're desperate for data about everything, and often manage to get hold of it.  But they find themselves begging for spreadsheets or CSV files, because what they get given are PDFs.  Eugh!  Yet they're not asking for Linked Data formats?  Which means, presumably, that after they've been through the trouble of extracting data from PDFs, they're putting it in a spreadsheet or something, and there's still a whole level of usefulness missing.  And I assume that's because they don't know otherwise, or perhaps don't have the resources to learn even if they're aware of the possibilities.  Similar sorts of reasons that they're being given PDFs by organisations in the first place.

So awareness, and easily digestable educational resources (how about SchoolOfData.org) need to be promoted.

Now then, about those success stories...  This list includes data publishing projects, groups and apps that have been built on Open Data.

That'll do for now.  Lots of the portals and competitions have links to app examples etc.  There's lots to explore.


Finally, I highlighted in my notes quite a lot of things that I need to find out more about.  A lot of them are technology or platforms for publishing or sharing Open Data, and various standards or studies I need to read in more detail.

I have a couple of questions to ponder on, too:

There's a massive focus around hacks (more often than not one off events) as a way of using and promoting Open Data.  What other ways are there?  What will the path to a deeper integration of Open Data in society look like?

There are lots of datasets and vocabularies about public services and society, as well as science and education.  What arts, culture and media datasets are out there?  (And what has been done with them?)  Ooh, or online social interactions?  Maybe I'll do a survey.

[1] Prof. Dr. Felix Sasaki, keynote: "Linked Open Data @ W3C-Vocabularies, Working Groups, Usage Scenarios."
[2] Prof. Dr. Simon M. Onywere, talk: "The Kenya Open Data Incubator Project – Outreach to Research Community."
[3] https://www.gov.uk/government/consultations/midata-2012-review-and-consultation via Nigel Shadbolt
[4] Dr. Rufus Pollock, keynote: "Open Data, Building the Ecosystem"
[5] Peter Hanečák, talk: "Open Data and Open Government Partnership in Slovakia."
[6] Michael Hörz, talk: "Open Data in Local Journalism: An Excel file?"

[Notes] 1st International Open Data Dialogue (Day two)

December 6th, 2012.

Notes as I scrawled them.  Read a proper review.  Purple is calls to action for myself.

Rufus Pollock - Open Data, Building the Ecosystem


Open API is a contradiction.  
An API is not open (though still valuable) but not the same as bulk open data.
Should we open governments?  So much is hidden.
Ultimately a lot of it is about in/justice (debts paid off by younger generations).

Open spending
- only 30% of departments are up to date - can keep checking who's updating their stuff.
- but sometimes more up to date that government's own records - they use it themselves.

Getting the data is only the beginning.  Need a platform.

Getting citizens, journalists and government to work together.

Why doesn't every dataset have a public issue tracker?  This is what he'd like to see most.

The process is important.

Digital doesn't run out.  That's why open makes so much sense.

FourSquare uses OSM.

Average consumers won't see raw open data - but via products and services.

Next?  Building communities.  Takes time to nurture.  publicdata.eu.

We'll go from hackdays to deep integration.  Toy vs. core datasets.

Geodata is mature.

SchoolOfData.org.  Data analysis, programming, training.
- Teachathons better than hackathons.

Should have access to all our own data - travel (Oyster), shopping (loyalty cards), social.
- Would like to control who uses it.
- Compare with others (aggregate).  Only companies can do that.
- Some people will choose to publish/open their own data.  Even if it's a few people, still lots of data.

Open Data = Platform; !Commodity
- Build on it rather than sell it (and let others build on it)
- Already seeing people building companies/making money on this principle.

Ecosystem.  Need feedback.  Poor quality data creates wasted time, especially at hacks.

Datagov census dashboard - who has what out.
There's no gov. data that's come back cleaned up from the community (even though people are almost certainly cleaning this data up).

Be patient.  Needed to wait for pressure to build up (why it's happening now).  Low investment.

Way to fund production of gov. data (or combination of):
- Charge users
- Taxpayer revenue
- Charge creators (most attractive)
  eg. Companies Register data; more efficient to charge people registering companies a bit extra, people won't be deterred from registering a company because of this.  Basically, add to existing fees for things people will pay anyway.

Open data saves lives!  Heart surgery data caused improvements.

MiData (more from Nigel)
Supermarkets not very good, but some big companies involved.

Prof. Esteve Almirall - Reinveting Cities - Open Innovation in the Public Sector

Competition now is about innovation, not money.

Adopt a Hydrant (Boston)

Peter Hanecak - Open Data in Slovakia

2012 govt signed open government partnership. 

Laws already align with Open Data principles. 

Everything must be public, unless stated otherwise (eg. according to a specific law, like army secrets. Must be clearly defined, no rubbish excuses for not publishing something). 

Open licences (GPL, CC) are not recognised, because there's no signed paper. Currently they're campaigning to fix this. 

Existing laws do not fully apply to regional governments, only to state government. 

Data that is available isn't in great formats. Lots of things are ignored or misunderstood.

Achievements so far: - Datastores and apps. Datanest.fair-play.sk, znasichdani.sk, cenastau.sme.sk, otvorenezmluvy.sk, data.gov.sk. - app competitions, conferences. Restart Slovensko.

Future
- Spread the word 
- Advance principles on regional levels 
- Major release of OD by gov 
- develop OS publication platform for OD 
- incorporate results into other projects

They have a standard published for state government.

Ivonne Jansen-Dings - Code4EU and Apps for Amsterdam

Technology is a key component, but impact on citizens is central. 
Taking linked OD out of academia and applying it to 'real life'.
Tourist one. FairPhone. 

Collaboration between government, coders and citizens. Can't do this top down. Creating something together, that has to evolve naturally. There isn't a formula.

apps for Amsterdam is a platform for people to talk about OD; creating it and working with it. 
  • Lots of reasons why coders participate. 
    • Hobbies
    • Solve local problems
    • Network, get new business
    • Ideas start during hack events/workshops. 
  • Past two years gone from 22 - 130+ datasets. 
  • Quality of data is essential for good apps. 
  • Mostly about getting the government to see the necessity of open data. 
  • All sorts of working groups arising with municipalities to solve specific regional issues using OD. 
  • Helping people who have made/are making apps, to help them move forward. 
  • Lots of people are stuck because they need certain data. 
  • Creating ideas for apps is a good place to start with deciding which data to open up. 
  • Essential for app developers is also getting paid. Necessary to help people evolve apps. So a4A helps to connect developers to companies, NGOs, etc. for whom the app is relevant, so they can work out a way to work together.
  • They don't have much government data about spending and stuff, working on that.

Apps for Democracy (Apps Voor Democratie) 
  • Can see which parties and people collaborated with each other on getting motions put in and passed etc. Now integrated into actual parliament website. 
  • PolitFutures. Stock exchange around politicians.
Code4EU
  • Currently hiring developers to create solutions for problems they see within municipalities. 
  • Changing government from within. Civic innovators.
  • Lots of people come with problems, not ideas for apps.
Not about the apps, about the social change.
Local issues can have solutions that have global value.

Lena-Sophie Mueller - Open Government is more than Open Data

Stuttgart local people had issues with train station and there was a huge protest. Planning happened in a black box, people didn't understand why decisions had been made. 
(Ed trams)

Same as ACTA. People negotiated about it for 7 years, but it was not transparent.

Need transparency to face obstacles of 21st century. 

IT-Planungsrat say open govt needs to be a focus point, but will focus on open data first. 
  • Open goverment though, is more than just open data. 
  • It's hard to keep information secret now. Things get leaked. To counter leaks, they put it online too, so it's a trusted source. Can publish accurate new versions. 
  • What's needed is a Diff, so information needs to be in machine-readable formats so documents can be compared. 
  • Then politicians can be asked specific questions about changes.
Open gov means taking contribution of people as valuable. 
  • US crowdsourcing patent information for making decisions about patents. 
  • Open Budgets - people participate in deciding how budget is spent.
  • Governments and administrations collaborate. 
  • barnet.gov.uk. PledgeBank ("a site to get things done")
Lots of administrative workers aren't used to working with data. 
  • Need help with extracting data and organisation and processes and technology. 
  • Change management. 
  • It's going to take some time, but it's worth making the journey.
Convince organisations that it's okay to open data (sans personal information). 
  • Lots is digitalised already, and expensive to digitse paper. 
  • Smaller municipalities are mostly paper. 
  • eGovernment projects are important for open data.
Status of open government in a country? The thing Rufus mentioned. 
Initatives that measure freedom of information laws, but it's very difficult to measure openness. Need to develop a measurement that could be used internationally (big complicated project). 
Web Foundation published an index a few months ago. 

What does she use?  Usually use CKAN.

Christoph Lutz - Open Data and Social Media

Social medai readiness in Hamburg. 
Many insights from social media can be transferred to open data. 
Social media adoption and readiness can take place on several levels 
- organisational level 
- individual level 
- societal level

This project looks mainly at organisational and individual. 

Organisational: 
  • different agencies, like culture and financial services; regional agencies. 
  • structure, leadership and culture

Individual: 
  • drivers and barriers to social media adoption: cognitive (know how) or affective (acceptingness of technology, concerns)
Some agencies in Hamburg have started intiatives (like fb, twitter). Some were recalled, but in general there is political support and Hamburg is more advanced than other cities. 

Their research project: 
  • conduct interviews with employees who had contact with social media. 
    • 8 people 
    • analaysed successful vs unsuccessful social media use 
    • different levels of responsibility, and different agencies 
  • case studies 
  • soon a big quantative survey
Organisational factors: 
  • political support (crucial) 
  • leadership support (some people high up in hierarchy aren't familiar with technologies) 
  • autonomy and trust (people can experiment, be proactive) 
  • structures of organisations (complicated, different motives and experiences in different departments, hard to coordinate) 
  • processes (hierarchy and bureaucracy; you need fast feedback for social media, which contrasts with usual way of work) 
  • resource (stressed most in interviews; employees don't have time at work to administer social media accounts, sometimes IT resources)
Individual factors: 
  • age (younger people more interested) 
  • affinity (how much people enjoy working with IT; intrinsic motivation) 
  • experience 
  • social capital 
  • concerns (privacy, security, technostress)
Identifiable strategies: 
  • avoid resistance (make projects appear small, non-invasive, simple) 
  • externalise project (work with other organisations, avoid bureaucracy)
Engage people in open data via social media.

Objective of Hamburg project? Mainly about representing administration to the citizens, and providing feedback to people. Later about engaging people in conversations and participation.

How to make use of social media in administration? How to get public offices to produce open data? The quantitative questionnaire will help show how open people are to social media.

Simon M. Onywere - Outcome of the Kenya Open Data Consultative Forum - Kenya’s Strategy to Make Government Data available to Communities

Increase transparency and accountability of government. 
Help people make decisions. 
Support economic development in the country. 
Supported by World Bank.

In Kenyan Bill of Rights, citizens have a right to the data held by the government.

opendata.gov.ke 

Media plays a very important role.

KODI - Code4Kenya:
  • Lack of certain data
  • lack of metadata
  • limited search
  • data duplication. 
  • Need for better analysis and visualisation tools. 
These observations allowed holding a stackeholders forum.
  • People interested in solving problems that face the country.
  • (MANY issues; things Europe was facing 100+ years ago, but no data about what's going wrong, what the impacts are likely to be). 
  • Interested in building a platform, but the content is important, and what is it supposed to help us do? 
  • Issues about data collection. 
  • In the forum, ended up talking about issues that face the country, rather than the data.
Challenges: 
  • data hugging syndrome: 'this data is mine' 
  • Lack of Freedom of Information Act 
  • Slow digitization 
  • Lack of trust and low culture of openness
Demand for open repository of all Kenyan PhD and Masters theses. Needs metadata, and needs to be widely accessible. Will help with research, and help people understand research that has been done that might be able to solve problems. Help avoid double research.

Not really free information, because most public sectors spend money to get information.

Project requires various degrees of collaboration. Countries in Europe that are one or two steps ahead. Need training for socio-economic transformation.

Are the licensing issues being sorted out? There's a comprehensive statement on the website (so a custom license?). 
Citizens will hold government accountable for information provided, so they (gov) are worried about data being inaccurate. 
Letting research community use the data can help get useful feedback about what is wrong - you don't know if things are wrong until you try to use the data. 
Up to people to give the government the correct situation on the ground, because gov't is not always right.

Nigel Shadbolt - Finding the Value in Open Data

Local data matters. 

Open Data Institute - build economic value in a serious way. 
2005 AKTive PSI was early beginnings with getting various bodies imagining opening their data. Nobody would really give them the data at that point, but were curious about what could happen. 
Reported to parliament in 2007 - said it was exciting and had great promise, but nothing else. 
Activism, top-level political will and committed individuals needed to move things on.

Two years is not a long time for really disruptive movements like open data. Natural lifecycle to processes. 
Early enthusiasm, but wall of people who question impact, value, if it's worth the effort. We can see now that it's always worth the effort, and doesn't cost much.

Government is becoming more comfortable with this stuff. 
"Can we put a government website up that says 'beta' in the right hand corner, and not be ridiculed?" 
Gov't got used to the idea of agile web development; of not knowing how the system would be finished when it's started.

Suddenly, applications appear. Many unexpected. 
Gov't efforts would be more expensive and less effective.

Virtuous cycle: open licences - open standards - open source - open data - open participation.

CC isn't for everyone... companies worried about giving rights away. In the UK there's an open government license, developed by government lawyers (to make officials feel more comfortable, and understand conditions).

Open Data market needs a steady stream of successes. Always have a story the person in charge can understand. 
OD is abstract principle. 
He uses MRSA. They began to publish infection rates in hospitals. Two years later, it's down by 85%. Worst hospitals can look at ones that are doing better. People started to ask questions; simple procedures implemented (sunlight, disinfectant).
We have to understand that companies are in the business of making money, and public services are in the business of providing efficient services.

Transport... Companies think it's more valuable to keep hold of the data than to have people on the transport - lolwat?

Visualising data highlights issues.

Quality over quantity. 
Routine to publish certain sorts of information, but there's other stuff that's really important. 
Needs to be found easily. 
Data portal needs lots of metadata (quality of content, what kind of links, how much). 
Every public data should rate itself on the 5* score card.

Open Data business models: 
It isn't enough just to publish. 
Need to build demand for data that you're supplying. 
If the data is poor or gets turned off, people will let you know. 
Data Marketplace. 
OD Apps (people think this naturally). 

Innovate - economic benefits for host, sponsor and developers. 
Developers innovate on behalf of companies. 
Build and maintain trust. 
Prove that you're doing good things, eg. where materials come from, or effects on environment. Various different kinds of open APIs.

Open Data needs a balanced and broad ecosystem. 
Complex. 
Not just gov'ts. Businesses are beginning to, citizens might eventually (think about social networks). 
Lots of varieties of open data AND closed data (some just cannot be released). Or personal data that only the owner can/should have access to. 
It's much richer than just "everything's open and we need to work out a way to monetise it".

midata: 
We will increasingly become aware that we can collect our own data. 
So why can't we get the data that other people collect about us? Why don't you have access electronically to every receipt - and what would that world look like? Switching suppliers, teaming up with neighbors for shopping. 
Energy providers in the UK (three of them, other three will do soon) give access to all their raw data.
It's hard to get data out of companies, but those who do see real benefits. Telephone companies in the UK are seeing increasing data exchange between them and consumers.
Products and processes that we'll see emerge from this are exciting.

What's the mix between open data and personal data (midata)? 
Government midata. Most people don't claim cold weather allowance. Costs a lot to get credits moved around. Open data meeting midata would benefit this. Same in health area.

Open Data Institude - theodi.org 
Leading the creation of the open data ecosystem. 
Trying to improve public supply. 
Training people to produce and publish open data. 
Incubating companies. 
Work with public bodies, big corporates, small startups, trying to find values in datasets. 
After 8 weeks, 4 companies working in their space. 
Locatable
placr.mobi is a transport API provider. High quality access to all open transport data. 
Mastodon - green cloud computing options. 

It isn't all sweetness and light. Have to demonstrate tangiable benefits to keep progress going. Have to give company/politicians good reasons why this is better.

Huge amount of capital value is based on "I know something you don't know". 
As information becomes abundant, the landscape will be changed. You can't rely on knowing something any more, you have to provide something extra quality. 
Drive innovation and improvement in service delivery. 
With heavy investment in acquiring certain information, why should they share it? 
Evolutionary arms race means that someone else will find a way to collect that data more cheaply. How long can they sit on their monopoly?

Governments are not here to become revenue generating businesses, but to provide public services.
In the UK, the office of national statistics gross value added figures are from 2010.
Hasn't seen any examples yet that cost more than the benefit that's gained. 
Hospitals, traffic data. These studies need doing more carefully than they have.


[Notes] 1st International Open Data Dialogue (Day one)

December 5th, 2012.

Notes as I scrawled them.  See here for a proper review.  Purple is calls to action for myself.

Dr. Philipp Mueller - Openness as a means, not an end
I missed the opening keynote.  His slides are here.

Dr. Wolfgang Both - One Year Open Data Portal Berlin

Open cities EU - Nov '10 - Apr '13.
Amsterdam, Barcelona, Berlin, Helsinki, Paris, Rome.
Berlin responsible for open data working group; several working groups (OD is just one).

EuroCities

Knowledge Society Open Data working group
Guidebook for cities, 30 pages so far.

Open Data Berlin
Portal Sept '11
Publication
Press conference Feb '12
Short term: Political agenda, budget, working group.
Mid term: Harmonize data formats.
Long term: Legal framework (Berlin can't decide laws by itself, for whole EU).

Open Data Day May '11, '12 and '13 in prep.

WG open traffic hack (29th Nov '12)
- 150 programmers with transport data.

Portal stats
Are users interested?  Peak at start.  Other peaks for hacks, Apps4D contest (Nov '11)
Possibility for feedback - questions, advice, ideas.
100 datasets; daten.berlin.de

WG 2012
- formats and metadata
- licensing and user rules
- education for staff (lectures, this is new for many working in public sector)
- organisting and processing
WG 2013
- evaluation of OD studies
- Recommendations
- Exchange with other cities.

(Q&A)
Datasets were volunteered, not selected
- But are looked at for quality, machine readable, looking for wide range of topics of interest to public.
- Want open, transparent process for publishing.
- Communicate with media as well as community.

Licenses
- Heuristic... no legal advice available because it hasn't been done before.  Many possibilities; for opening data for individuals, CC was familiar to Internet community, includes origin data (CC-BY).  Some smaller datasets are licensed for non-commercial usage.  Discussion still ongoing.
Knows other cities will follow / copy there example whatever they do!

Jan Schallabok - Right to Freedom of Information on Enterprises


Call for open enterprise data.

Why?
Scenarios, set a timeline:
2015 - personal search
2016 - data disasters (identity hack)
2017 - pictures omnipresent, know all about everyone becomes normal
2019 - Google Glass on market

If there's no data on you, things don't work (eg. personalised advertising)
Society down the drain if it didn't open data (Switzerland in the story didn't open data, so Swiss woman moving to German couldn't settle in easily).

Moving away from clear facts towards probabalistic.
eg.
Google Translate fed by open (input) data, but algorithms aren't open.
Siri - enriches dataset from Web (he said Google search?)
OpenStreetMap (counter example)
If there was more data, everyone would use OSM paradigm (eg. government).

Harm businesses?
..maybe.  But more damage in the long run?

Need to make businesses move away from using peoples' data.   Like, we work for facebook.  our data, not theirs.

Data protection:
by law, data subject has rights to know logic involved
but
as long as it doesn't affect trade secrets

Privacy implications
'Anonymous' data can be used to identify people.  See AOL search database fail.
When can datasets go public?
Weather data can be personal data (no time for example..)

Michael Hörz - Open Data in Local Journalism

Journalists expect everything
- spending
- political decisions
  (district levels, searchable)
- quality (schools, pollution, food)
- real time sensors (air quality, traffic, energy)

- Open Data Paris (loads, on a map)
- Locrating (school performance on map, UK)
- Chicago bike crash reports (map) (sort by injury, date, day; data all open from Chicago Transport Authority, in a nice format).
- LA Times LAFD (fire dept.) response times.

- Airplane noise map, taz.de (Journalists had a PDF, eugh).  One of the first Berlin interactive visualisations.
- Berlin election.  Was real time.  Down to the polling station.
- Berlin bicycle accidents '11 - came from massive PDF (3,800+ cases)

- Wishes for xls or csv... wants directly processable.  WHY NOT RDF?!
- ..or APIS.  WHY NOT LD?!
Reality = PDFs, requests ignored, data incomplete or hidden.  Hard to get for journalists.
All datasets are interesting and should be out there.  In Berlin often only one or two districts are available, which is no good.

(Q&A)

It's not always straightforward just to release data - need priorities; raw data/API documentation isn't always available straight away.

Why PDFs?  They don't know any better.  Need to make people aware.

Consequences of public seeing data they're not used to?  Panic?  Or activism?  Pressure politicians for change.  Empowers people.

Is there are resistance to making data available (eg. Italy - data there but useless).  Maybe, or maybe they just don't realise [it's useless].

Prof. Felix Sasaki - Linked Open Data @ W3C-Vocabularies, Working Groups, Usage Scenarios

== first half of MASWS. 

New work on LD http://www.w3.org/2012/ldp/wiki/Main_Page 

Media fragments - spec finalised www.w3c.org/TR/media-frags/ 

Ontology for Media Resources (DC for video and audio?) http://www.w3.org/TR/mediaont-10/ 

Internationalization Tag Set 2.0

SW core is stable, so work with vocabs now. Need interoperability. Decide: - Syntax - - Microdata not necessarily for SEO - - Schema.org; w3.org/wiki/WebSchemas; very basic schemas with increasing numbers of more specialised extensions. Discussion at lists.w3c.org/Archives/Public/public-schemas - 

Application scenarios.

Organisation ontology - Membership and reporting structure, location information, organisational history - Interoperable organisations - 'Final call' stage - nearly done. Need feedback.

DCAT (interoperability between data catalogues) - Uses FOAF, DC, SKOS
w3.org/TR/publishing-linking draft Namespace neutrality - xmlns.com

Language graph of the Web is cool.

Tomáš Knap - Tracking Data Provenance of the Published (Linked) Open Data

xrg.cz
opendata.cz
watch film

Defines provenance and agents, artifacts, processes. Provenance useful for data integration. Which is right/recent etc. 

How to cite. Vocabularies: PROV-O (almost w3c final, w3/ns/prov), VoiD (datasets w3/TR/void), FOAF, DC ODCleanStore - http://iswc2012.semanticweb.org/sites/default/files/paper_37.pdf (prov aware storage, processing, querying) - Write rules/queries using web front end. Certain automation from inserting ontologies. Still manual work.

LOD2 WP9a - EU project LD tools

Maria Magdalena Theisen - Open Data and Big Data

Big Data - have to ask questions to understand what questions to ask. Consists of volume, velocity, variety. Can't say that all open data is big data, and vice versa.

Some BD from external social media, disaster information, sensors, smart meter. Lots of things bringing data to process.

Facebook has largest data collection by 2010.

Open and Big - Eye on Earth - air watch (over 1k stations in Europe providing live data), noise watch, water watch (static historical data) - can rate quality of data and give attributes

Cloud computing is an enabler for B and OD - Don't have to manage servers to provide data. - Flexibility and scalability - Interoperability with existing infrastructure - Easy access to data - Development platform (Azure) - can enter an app with open data into marketplace. Lots of examples.

Is Azure marketplace integrated with ckan? - No.

Evanela Lapi - Building Sustainable Open Data Platforms

Understand stakeholders

* Consumers
* Developers
* Citizens
* Less technical, can use open data to help with life

* Journalists, scientists, researchers
* First two more critical
* disseminate data
* Need open, standards-based, non-proprietary formats.  Easy to download/browse/search/redistribute/share.


* Publishers
* Provide transparency
* Want a cost-effective, easy solution platform
* Public sector has lots of data not online - because it's hard to publish?
* lots of friction, fragmentation




Socrata - end to end, custom solution.  Many implementations in US, Kenya.

vs.

Integrated, loosely-coupled - existing SW, eg. CKAN + Drupal (data.gov.uk)
Faunhofer OD platform is Java (Amsterdam uses)

Open Cities
- open innovation (see last time this was mentioned)
- on Github - get feedback from use.

Virtuoso triplestore + Liferay CMS + CKAN catalogue
(Java wrappers for REST APIs)

User roles:
  • Data owner
    • Publish
    • Maintain
    • Bulk upload
  • Platform user
    • Query
    • Discuss
    • Search
    • Browse
    • Download
    • Propose new
amsterdamopendata.nl - 137 datasets in 18 categories
flevoland.....nl(?) - 22 datasets

It's a good start, but still not enough - why?
  • Too much manual work, redundancy across different platforms.
    • Modernise environment - by modular, high level stuff?  (I think that's what she said)
"Germany isn't much into OD yet.."

Oliver Adamczak - Big Data for Smarter Cities

Leaders must innovate to exceed citizen expectations.
Functionality of BD - use variety and volume to innovate.
Vision - do things you haven't thought of before.

I should do a survey of open data about arts/media?  It's all about gov/science.

IBM BD platform

Hadoop to store
- low cost (open source)
- scaleable
- easy to load data - don't have to care about structure until afterwards

Text analytics to read PDFs etc. and extract data with context.

Streaming data is important
- Not for repo, just use/analyse and discard.


Saturday, December 08, 2012

Week in review: Conferences

3rd December - 9th December

I went to the 1st International Open Data Dialogue (#odd12) in Berlin on Wednesday and Thursday, and gave a lightning talk at Digital Methods as Mainstream Methodology (#dmmm2) in London on Friday.

Both were brilliant; I met a ton of interesting people, learned loads and gained much inspiration.  My extensive notes are in the process of being typed up and thought about, and will be published on here as soon as humanly possible!

Now I'm going to catch up on sleep that crack-of-dawn flights and many hours of train journeys have denied me recently.