Taught basic web design and development, including responsive design and progressive enhancement, to students from a variety of (mostly non-technical) backgrounds. Marked coursework.
As a farewell present to Beth, who was vacating sunny Scotland for the harsh and unforgiving shores of the US, I made a squirrel. But not just any squirrel.
A Morrissquirrel.
That's Morrissey-squirrel. Don't question it.
I largely followed this pattern for the normal squirrel parts, then improvised to Moz it up.
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I'm supervising (created the brief, overseeing and guiding a group of 6 MSc students, grading) a Digital Media Studio Project in the Edinburgh College of Art.
I challenged my lot to use responsive web design techniques in a unique and inventive way. You can see what they're up to here.
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For the second year, I'm tutoring PHP, MySQL, HTML, CSS and JavaScript to MSc Design and Digital Media students for the Dynamic Web Design course in Edinburgh College of Art.
Sometimes this makes me feel like a wizard.
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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 Hanełák, talk: "Open Data and Open Government Partnership in
Slovakia."
[6] Michael Hörz, talk: "Open Data in Local Journalism: An Excel file?"
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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.
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(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.
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17th December - 23rd December
Mostly things not strictly PhD related...
18th - Initial meeting about organising a hack for undergraduates during Innovative Learning Week in February
19th - Discussed how local small scale community groups can benefit from Open
Data, and how they could get involved in the ILW hack, with Freda O'Bryne and
Euan Jackson.
\\\\- Also discussed these things with Ewan, and started on a spreadsheet of decent apps that use Open Data, and links to their data sources.
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31st December - 6th January 2013
Wrote a 6 month plan. It's nice to have solid targets. Here it is in calendar form.
Got the flu.
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7th January - 13th January
I was subject of Paolo's procedural task labelling pilot experiment. It was quite complicated. I don't know if I did a very good job.
I went to TechMeetup and networked like crazy.
I went to a Design Informatics talk about the Internet of Things.
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14th January - 20th January
Further discussed ILW hack with various parties, and released a website with information for anyone interested in being involved, and registration for students.
I went to the first Machine Learning and Pattern Recognition class. It looks interesting, but might be a bit maths heavy... I might concentrate on learning the maths now, and take the class next year, instead of killing myself with both.
Caught up on all my blogging!
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Which was hosted by the National Library of Scotland. (Information).
I reported on the 1st International Open Data Dialogue in Berlin that I'd been to in December, but then had to immediately leave, so I don't have any notes on the rest of the talks..
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21st - 27th January
Brainstormed about how to work with amateur digital media creators, mostly with the aim of starting to put together a vocabulary for representing various digital media creation processes, collaboration dynamics and audience engagement. More coherent thoughts on that next week, I should think.
Lightning-talked about the Berlin Open Data Dialogue at an OKFN meetup in the National Library of Scotland on Thursday 24th.
Talked about ontologies for sensor data at Ontologies with a View.
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