{"@context":{"rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","rdfs":"http://www.w3.org/2000/01/rdf-schema#","owl":"http://www.w3.org/2002/07/owl#","foaf":"http://xmlns.com/foaf/0.1/","dc":"http://purl.org/dc/elements/1.1/","dct":"http://purl.org/dc/terms/","sioc":"http://rdfs.org/sioc/types#","blog":"http://vocab.amy.so/blog#","as":"https://www.w3.org/ns/activitystreams#","mf2":"http://microformats.org/profile/","ldp":"http://www.w3.org/ns/ldp#","solid":"http://www.w3.org/ns/solid#","view":"https://terms.rhiaro.co.uk/view#","asext":"https://terms.rhiaro.co.uk/as#","dbp":"http://dbpedia.org/property/","geo":"http://www.w3.org/2003/01/geo/wgs84_pos#","doap":"http://usefulinc.com/ns/doap#","time":"http://www.w3.org/2006/time#"},"@graph":[{"@id":"https://rhiaro.co.uk/2011/05/design","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-5487103910304554663","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"
At the Future of Web Design conference earlier this month, I was inspired. As\r\na developer primarily and a designer when I have to be, the talks and people\r\nat FOWD were perhaps more valuable to me than if my main focus was on design.\r\nI don't need inspiration to develop, but I do to design.
\r\nBut an incredibly busy week and a bit later, I find I haven't had an\r\nopportunity to really make use of the ideas that were triggered at the\r\nconference; not only that, but the inspiration is beginning to fade. And I\r\nwill struggle to find time to watch the talk videos over the next few weeks.
\r\nI had intended to shove together a new portfolio site, to match my shiny new\r\nbusiness cards, before the first day of FOWD. Naturally I didn't manage to\r\nstick to this deadline, continued to work on the site during the conference,\r\nand to this day the redesign remains unfinished at localhost/. It is so far\r\nresponsive up to iPad dimensions, but the design that I was initially\r\nsatisfied with has fallen out of my favour, so I'm struggling to finish. I've\r\nbeen browsing collections of great web design, like\r\nthis one, as well as staring agonisingly at localhost/, hoping for\r\nre-inspiration.
\r\nTurns out I dislike quite a few of the designs on that list. Some just have\r\ntoo much blank space. Many go way overboard with the 'Web 2.0' look; glossy\r\nbuttons, excessive rounded corners, and the like. Pretty on first glance,\r\nperhaps, but after seeing so many sites in the same style, you suddenly\r\nrealise the genericness of them all; they give an impression of designers who\r\nforgot that the purposes of, or the companies behind the sites have their own\r\npersonalities and branding that can't be represented simply with shiny buttons\r\nand background gradients.
\r\nI am currently a fan of textured backgrounds, and I'll confess I am currently\r\nof the opinion that a text shadow automatically makes almost any header text\r\nlook better. I'm sure this will wear off, just like glossy buttons did. But\r\nI'm still struggling to find a style that suits me personally (and matches my\r\nbusiness cards).
\r\nSo far, just writing about it has helped a little, and I think I have enough\r\nbeginnings of new ideas to push on. Watch this space.
\r\n__
Read my complete notes from day one, and complete notes from day\r\ntwo.
\r\nThe 1st International Open Data Dialogue in Berlin in December was broadly a\r\ndiscussion about real-world applications of Open Data. Lots of practice, less\r\ntheory. Despite this (or perhaps because of this, now I think about it) it\r\nwasn't as technical as I expected. Felix Sasaki [1] talked about some basic\r\ntechnicalities of Linked Data and the Semantic Web, kind of the first things\r\nyou'd learn if you were studying it in a structured way, and I heard a lot of\r\npeople afterwards complaining that that had been too technical.
\r\nImportantly, there was a real message of getting things done at this event,\r\nand plenty of evidence that a world built on Open Data is not an idealistic\r\npipe dream, but a reality right now. Challenges are being articulated, and\r\nsolutions are being created, and problems are being overcome.
\r\nI stress this particularly because a couple of sceptics who weren't at the\r\nconference tweeted things along the lines of "Sounds like your conference is a\r\nbunch of idealist hippies preaching to the choir…" A genuine concern, but\r\nwhat's really exciting is that this definitely wasn't the case. It was\r\ninstead a bunch of realist technologists with the expertise and influence to\r\nactively overcome barriers to improving the world.
\r\nOpen Data is about social change and empowerment. It is about\r\naccountability of organisations with massive influence over the lives of\r\nordinary people. It is not about an abandonment of personal privacy, or\r\neverybody knowing everything about everyone else.
\r\nIt should go without saying (yet it still needs to be said) that it is not\r\nappropriate to blindly make all data available to everyone about every aspect\r\nof everybody's life. But what if you had access to all of the data anyone\r\nhad ever collected about your life? Think about purchase history (shop\r\nloyalty cards, travel tickets), online activities (searches, browsing history,\r\nsocial networking). All this stuff is being stored anyway, all over the\r\nplace. Often by organisations who fully intend to profit from it, presumably\r\nwith your unwitting consent. They went to the trouble of collecting it, but\r\nyou went to the trouble of providing it. It's your data too. What could you\r\ndo with it (or hire a software developer to do with it)? Then imagine you had\r\naccess to the same data from everyone in your town, aggregated and anonymised,\r\nand visualised in a nice way. Maybe you could team up with your neighbours\r\nfor cheaper bulk food purchases? Maybe you'd realise that others had similar\r\nhobbies or problems nearby, and could form special interest or support groups?\r\nReduce costs by sharing transport to similar destinations (or just have some\r\ncompany on the journey)?
\r\nThere's so much potential within data that's already held.
\r\nThe UK government's Midata initiative is a massive step in the right direction\r\n[3] toward compelling commercial enterprises to hand over machine-readable\r\ndatasets to consumers upon request.
\r\nIn Slovakia and Kenya (and possibly others, but these were the ones that came\r\nup), there is a constitutional right to data held by the government. Not\r\nwithout loopholes and other problems, of course [5, 2].
\r\nOne of the obvious problems is convincing large organisations that hold lots\r\nof data (like commercial enterprise and governments) of the circumstances in\r\nwhich it would be in everybody's best interest to release (some of) it.\r\nReasons they don't include a lack of understanding of the benefits;\r\ndisproportionate assessment of risks; aversion to change; a lack of technical\r\nexpertise and infrastructure; "data hugging syndrome" [2]; licencing issues;\r\noutdated business models.
\r\nNigel Shadbolt's experience says that large organisations who open data\r\nalways see benefits. It's always worth the effort. When the data is there,\r\nsuddenly developers start doing things with it; applications appear, many\r\nunexpected, and usually free. He stressed that it's important to have a\r\nstockpile of success stories in case you need to convince someone in charge of\r\nthe value of Open Data, and his favourite one was the publication of MRSA\r\nrates in hospitals (resulting in sharing of good practice, and an 85%\r\nreduction in MRSA over two years). See a list at the end of this post for all\r\nof the success stories I came across over the course of the two days.
\r\nThere were lots of discussions about the users or audiences of Open Data, and\r\nthe various different roles people can have. Most consumers of Open Data are\r\ndevelopers, and 'ordinary people' see the data via an application. Many won't\r\nknow (or care) about the source of the data that powers the app, even if it\r\nabout them. Many will, and trust must be built for people see the value that\r\nsuch apps could bring to their day to day lives. Ideally, releasing a dataset\r\nwould be part of an ecosystem, rather than a one-time thing. Data providers\r\nshould value consumer feedback, and commit to good quality, up-to-date data.\r\nRufus Pollock wonders why every dataset doesn't have a public issue tracker,\r\nand notes that poor quality data creates wasted time, especially at hack\r\nevents [4].
\r\nA successful Open Data world needs partnership between the public, media and\r\norganisations. All of these parties need educating on appropriate\r\ncombinations of the realistic potential of Open Data, and the technicalities\r\nof releasing and using it. Michael Hörz [6] discussed the journalist\r\nperspective on Open Data; they're desperate for data about everything, and\r\noften manage to get hold of it. But they find themselves begging for\r\nspreadsheets or CSV files, because what they get given are PDFs. Eugh! Yet\r\nthey're not asking for Linked Data formats? Which means, presumably, that\r\nafter they've been through the trouble of extracting data from PDFs, they're\r\nputting it in a spreadsheet or something, and there's still a whole level of\r\nusefulness missing. And I assume that's because they don't know otherwise, or\r\nperhaps don't have the resources to learn even if they're aware of the\r\npossibilities. Similar sorts of reasons that they're being given PDFs by\r\norganisations in the first place.
\r\nSo awareness, and easily digestable educational resources (how about\r\nSchoolOfData.org) need to be promoted.
\r\nNow then, about those success stories... This list includes data publishing\r\nprojects, groups and apps that have been built on Open Data.
\r\nThat'll do for now. Lots of the portals and competitions have links to app\r\nexamples etc. There's lots to explore.
\r\nFinally, I highlighted in my notes quite a lot of things that I need to find\r\nout more about. A lot of them are technology or platforms for publishing or\r\nsharing Open Data, and various standards or studies I need to read in more\r\ndetail.
\r\nI have a couple of questions to ponder on, too:
\r\nThere's a massive focus around hacks (more often than not one off events) as a\r\nway of using and promoting Open Data. What other ways are there? What will\r\nthe path to a deeper integration of Open Data in society look like?
\r\nThere are lots of datasets and vocabularies about public services and society,\r\nas well as science and education. What arts, culture and media datasets are\r\nout there? (And what has been done with them?) Ooh, or online social\r\ninteractions? Maybe I'll do a survey.
\r\n[1] Prof. Dr. Felix Sasaki, keynote: "Linked Open Data @ W3C-Vocabularies,\r\nWorking Groups, Usage Scenarios."
\r\n[2] Prof. Dr. Simon M. Onywere, talk: "The Kenya Open Data Incubator Project –\r\nOutreach to Research Community."
\r\n[3] https://www.gov.uk/government/consultations/midata-2012-review-and-\r\nconsultation via Nigel Shadbolt
\r\n[4] Dr. Rufus Pollock, keynote: "Open Data, Building the Ecosystem"
\r\n[5] Peter Hanełák, talk: "Open Data and Open Government Partnership in\r\nSlovakia."
\r\n[6] Michael Hörz, talk: "Open Data in Local Journalism: An Excel file?"
I was fortunate enough to attend the Computer Mediated Social Sense-\r\nMaking workshop, conveniently situated\r\non the ground floor of the building I work in, on the 14th of February.
\r\nWhilst more technical than the Digital\r\nMethods\r\nconference I went to in December, the talks and panel sessions served to build\r\nupon things I started to think about then. Namely, beginning to situate my\r\nresearch interests amongst many concepts from the currently quite alien fields\r\nof sociology and anthropology.
\r\nThe talks were varied, and key themes that emerged were the collection/use of\r\ndata for social improvement (health and wellbeing, teaching and learning,\r\ndisaster recovery), and the importance of context in making collected data\r\ngenuinely useful. A notable challenge is that one piece of data might have a\r\nthousand different contexts from the perspectives of a thousand different\r\nhuman beings. So how to communicate these variations to software that\r\nprocesses this data, and perhaps makes decisions using it?
\r\nPerhaps not to worry too much about that at all. Process things locally\r\ninstead of globally, using local contexts and understandings, but make sure\r\neverything is annotated such that information can still be exchanged across\r\nthe whole network, and differences in understanding can be accounted for or\r\nreasoned out if a need occurs.
\r\nFor the record, I'm looking at how Semantic Web technologies could be used to\r\nbetter connect human and machine in the context of amateur digital content\r\ncreation (movies, comics, music, art), including how semantically annotating\r\ncreative (often collaborative) processes as well as the end products of\r\nthese processes and the engagement of an audience with these products, could\r\nimprove the overall experience of creating content (along a number of\r\ndimensions). A massive part of this will be creating tools that actually\r\ncollect the necessary data from users. Ultimately, these tools will need to\r\nbe invisible, ie. easily integrated into existing online routines, with no\r\neffort required to use them for the non-technically minded so that a network\r\neffect can take place.
\r\nIncentives for crowdsourcing came up during CMSSM, and someone pointed out\r\nthat by gamifying data collection for research projects, incentives become the\r\nsame as ones offered by gambling companies; something competitive and\r\npotentially addictive. I think things like global systems of reputation and\r\ntrust are useful on a network where people are to share data about their own\r\nwork (or opinions of the work of others) and may be nurturing a desire for\r\npopularity or exposure on the network (a network where the people are\r\ncentral, because the data could not exist without them, but where the users\r\nand the data are simultaneously co-dependant).
\r\nAnyway, I'm still brainstorming.
","as:name":"Computer Mediated Social Sense-Making","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-02-14T22:39:00.001Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/done"},{"@id":"blog:Done"},{"@id":"https://rhiaro.co.uk/tags/annotation"},{"@id":"https://rhiaro.co.uk/tags/attendee"},{"@id":"https://rhiaro.co.uk/tags/big+data"},{"@id":"https://rhiaro.co.uk/tags/brainstorming"},{"@id":"https://rhiaro.co.uk/tags/CMSSM"},{"@id":"https://rhiaro.co.uk/tags/computer+mediated+social+sense-making"},{"@id":"https://rhiaro.co.uk/tags/crowdsourcing"},{"@id":"https://rhiaro.co.uk/tags/data"},{"@id":"https://rhiaro.co.uk/tags/events"},{"@id":"https://rhiaro.co.uk/tags/ontologies"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/social+computation"},{"@id":"https://rhiaro.co.uk/tags/social+computing"},{"@id":"https://rhiaro.co.uk/tags/cmssm"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-05-18T16:45:29.863Z"}},{"@id":"https://rhiaro.co.uk/2013/04/2nd-uk-ontology","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-7147479585295099140","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"The UK Ontology Networks Workshop took place over one day in the Informatics\r\nForum.
\r\nThere was a mix of people there; some talks were way over my head and very\r\ntechnical, and some talks were by people who confessed they had had to look up\r\n"ontology" that morning. And things in between.
\r\nLazy writeup, but following are notes as I scribbled them:
\r\nJohn Callahan
\r\nUS navy research.
\r\nFocused information integration.
\r\nHuman intervention to keep predictive part on track. Tweaking.
Alan Bundy
\r\nInteraction of representation and reasoning.
\r\nChanging world so agents must evolve. How to automate? What would trigger a\r\nneed for change:
\r\nInconsistency
\r\nIncompleteness
\r\nInefficiency
\r\nhow to diagnose which?
\r\nInterested in language and perception change.
\r\nUnsorted first order logic algorithm called Reformation. Based on standard\r\nunification algorithm.
\r\nAllows blocking and unblocking unification.
Phil Barker
\r\nSchema.org
\r\nCetis (JISC funded)
\r\nlearning resource metadata initiative.
\r\nBig names behind schema.org.
\r\n= ontology + syntax
\r\nBig and growing ontology.
\r\nDumbed down for people.
\r\nLRMI adds to it. W3C go through it. It's creeping, how much do the big names\r\nactually care about stuff that's added?
\r\ndon't know how Google uses it.
\r\nPeople should consider using it for more sophisticated search and\r\ndisambiguation.
Gill Hamilton
\r\nDoing more with library metadata. Learnt from OKFN. Had to convince people in\r\ncharge.
\r\nDublin core, didn't like; not specific enough. Instead RDF > OWL. "We know\r\nbest how to structure our data"
Hardest was convincing marketing people that there was no commercial value.\r\nMetadata is advert to actual resource.
\r\nEnrico Motta
\r\nTraditionally top down approach. So now so many people interacting with\r\nsemantic structures, so should involve users.
\r\nRecognise there isn't a unique or best way of doing things.
\r\nInitial study included modeling task with binary relations.
Patterns that are more or less intuitive. 4D least, 3D+1 most.
\r\nN-ary most widely used by experts.
Relationship between reasoning power and intuitiveness of writing? More\r\ncreativity needed for simpler ones. (Not really sure what he's saying)
\r\nEmail him for copy of study.
\r\nChris Mellish
\r\nOntology authoring is hard. Better ways to do it.
\r\nControlled language input (mature tech); responsive reasoning (also mature,\r\ninformation as you're editing); understanding the process (beginning to\r\nunderstand more).
\r\nHypotheses:
\r\nusers don't know what they're doing. What if questions. Many answers, what is\r\nrelevant? Depends on context.
Authoring as dialogue.
\r\nTodo list.
Useable in the same ways as protégé.
\r\nPeter Winstanley
\r\nUN classification schemes.
\r\nVarious vocabularies.
\r\nAllow development of cross mapping between government administrations.
Mostly internal currently. Moves to bring externalizing data into the 21st\r\ncentury.
\r\nPeter Murray-Rust
\r\nFight for your Ontologies.
\r\nOntologies in physical sciences. Chemists don't want ontologies. They'll sue\r\nyou.
\r\nCrystallography uses 'dictionary'. Written in CIF. 20 years to build CIF.
Compare physical sciences to government.
\r\nEvery program author writes dictionaries that work for them. When different\r\nparties agree, promote to communal dictionary. Provide conventions to help\r\ndisagreements.
\r\nShow a company can do it as opposed to a rabbiting academic ..
\r\nJeff Pan
\r\nTractable ontological stream reasoning.
\r\nNeed to be more efficient, scaleable, as things change. Inputs from web.
Dealing with complexities: approximate owl2.
\r\nDealing with frequent updates: to-add stream and to-do delete stream. Truth\r\nmaintenance. Evaluation criteria.
Trowl.EU can use with protégé, also supports jena.
\r\nEdoardo Pignotti
\r\nSemantic web tech to support Interdisciplinary research.
\r\nourSpaces VRE
\r\nProvenance crucial.
\r\nOPM prov ontology.
Deployed since 2009, 180 users. Comprehensive ontologies but people unwilling\r\nto provide metadata.
\r\npaper! Edwards et al. ourSpaces.
Tom Grahame (BBC) @tfgrahame
\r\nContent arrangement on BBC sport by tagging, automatic to free up editors to\r\nwrite.
\r\nLD API so systems don't need to know about each other.
\r\nGrowing from simple rdfxml to more complex ontology.
\r\nCan ask much more general and much more detailed questions about sport.
Mapping incoming data is outsourced.
\r\nLots of errors, sometimes system alerts, sometimes manual.
Working on opening the data. Maybe a dump, but licensing issues.
\r\nEwan Klein
\r\nMining old texts for commodities, adding place and time and putting in\r\nstructured database.
\r\nTranscriptions of customs import records.
Skos for synonyms.
\r\nDbp concepts.
Why? Want to query.
\r\nVisualisations.
Tools? Python script.
\r\nJanice Watson
\r\nHarnessing clinical terminologies and classifications for healthcare\r\nimprovements.
\r\nBob Barr
\r\nGeographical addressing.
\r\nAddressing and address geocoding is important and broad. Not always postal,\r\nbut this not addressed (punlol) in ontologies.
\r\nDifferent contexts change meaning of address (for delivering, you only care\r\nabout postbox; property sale whole building).
\r\nLoads of things to address. Loads of reasons why.
\r\nWork held up as national address file is owned by royal mail and might be\r\nsold!
Fiona McNeill
\r\nRun time extraction of data. Failure driven. Looking at extraction of specific\r\ninformation.
\r\nEmergency response. Lots of data, timely sharing of data required.
\r\nFrom domestic level to humanitarian disasters.
\r\nHow can it be automated?
\r\nMultilayered incompatibility.
\r\nFormat
\r\nTerminology
\r\nStructure
\r\n...
Richard Gunn
\r\nTowards an intelligent information industry.
\r\nElena Simperl (Soton, sociam)
\r\nCrowdsourcing ontology engineering.
\r\nCSrc: Brabham 2008.
\r\nDistribute task into smaller atomic units.
\r\nHumans validating results that are automatically detected as not accurate.
\r\nWhat are the costs? What resources?
Games with a purpose. Like quizzes.
\r\nMicropayments or vouchers.
\r\nMTurk. CrowdFlower.
\r\nPaper about useage of microtask crowdsourcing. ISWC 2012.
Claudia Paglieri
\r\nOntologies in ehealth.
\r\nEnrico Motta \\\\\\\\- Rexplore
\r\nKlink algorithm mines relations between research topics.
\r\nUse this! Nope, it's not public. Uees MS Academic research.
Peter Murray-Rust
\r\nContent mining expands regular text mining.
\r\nFocus on academic stuff.
\r\nChemical Tagger. Takes chemistry jargon and annotated it, knows actions,\r\nconditions, molecules etc.. NLP. Uses ontologies and contributes to\r\nontologies.
\r\nIn chemistry, no need to put everything in rdf because there are already lots\r\nof formalisms.
\r\nProper cool PDF to sensible format conversion. Amy the kangaroo. Looking for\r\ncollaborators.
Yuan Ren
\r\nOntology authoring in whatif project.
\r\nReasoning with protégé and trowl .
\r\nTractable reasoning. Trowl v fast.
\r\nNotes from conversations / breakout discussions:
\r\nBBC use owlm triplestore .
\r\nStore all their datasets in svn. But they have reads and writes to the live\r\ntriplestore all the time.
Lots of people saying minimise owl use because of unpredictable output.
\r\nVersioning ontologies (available in owl2) in case third parties change stuff\r\nyou use. You're dependent on their software engineering practices. Only good\r\nif they're ahead of the game.
\r\nIRIs, Arabic characters in ontologies!
\r\nSemantic heavy, maybe make a decision to abstract away to ids and make heavier\r\nuse of labels.
Difference between importing and using someone else's.
\r\nThere's no (practically useful) software that lets you reason over stuff you\r\nhaven't imported? (over HTTP?)
\r\nBuild ontology from reality (data), don't start with no data.
\r\nLode.
\r\nProblems with dbpedia URIs changing or disappearing.
\r\nHard to visualize massive graphs. Relational, tabular much easier to\r\nunderstand.
","as:name":"2nd UK Ontology Networks Workshop","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-04-11T15:38:00.000Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/done"},{"@id":"blog:Done"},{"@id":"https://rhiaro.co.uk/tags/attendee"},{"@id":"https://rhiaro.co.uk/tags/conference"},{"@id":"https://rhiaro.co.uk/tags/events"},{"@id":"https://rhiaro.co.uk/tags/networking"},{"@id":"https://rhiaro.co.uk/tags/ontologies"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/workshop"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-05-18T16:47:03.111Z"}},{"@id":"https://rhiaro.co.uk/2013/04/lovelace","@type":["as:Article","as:Event"],"blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-2893499687242069870","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"In 2008 I was in my first year of university, and the second ever Lovelace\r\nColloquium was held in Leeds. I was encouraged to attend by Professor Cornelia\r\nBoldyreff and then-PhD student, now-Dr, Beth Massey. Doing so may have changed\r\nmy life.
\r\nAt my first Lovelace, I was introduced to the very concepts of conferences,\r\nmentors and (importantly) networking. The event was, and has been ever since,\r\na forum for thought-provoking technical talks, inspiring motivational speeches\r\nand stimulating discussions about technology-related disciplines, careers, and\r\nwomens' role within this world. To attend Lovelace is to be surrounded by\r\nextraordinary and excited minds; undergraduates at the top of their game, and\r\nsuccessful academics and industry professionals to advise and mentor. Having\r\nnow been along as an attendee, a poster competition entrant and for the past\r\ntwo years as a judge, the conference has provided perfect annual milestones to\r\nmark my own academic progression and personal development. I have met so many\r\nwonderful people and made so many important connections thanks to this event\r\nthat I genuinely think I would be in a different place today, perhaps as a\r\ndifferent person, had I never been. I can trace back directly or indirectly to\r\none or other Lovelace Colloquium many of the opportunities I have had to\r\ndevelop academically (poster presenting, inspiring conversations),\r\nprofessionally (networked my way to a Google internship) and personally\r\n(overcoming low self-confidence, understanding imposter syndrome and\r\nconquering public speaking).
\r\nThis year's, hosted by the School of Computer Science at Nottingham\r\nUniversity, has been no different.
\r\nFor the first time ever I arrived with time to spare before registration, and\r\ngot to know some of the other helpers and attendees. I was put in charge of\r\norganising posters, directed towards a room containing lots of large fuzzy\r\nblue boards, divided up the space based on the number expected in each\r\ncategory (First Year, Second Year, Final Year, and taught Masters) and\r\ncheerfully handed out drawing pins to entrants as they arrived.
\r\nAt 10 the crowd who had gathered in a lecture theatre were welcomed by the\r\nsuperhuman Dr Hannah Dee, and the first round of talks began.
\r\nInstantly relevant (to me), Natasha Alechina discussed work on logic in\r\nontologies. The use of logic can help with debugging when creating new\r\nontologies by detecting inconsistencies (eg. fallasies, contradictions) or\r\nincoherance (eg. empty sets). The method they use is to compute a minimal set\r\nfrom a big graph in which nodes are statements, and they keep track of where\r\nall the statements are derived from. It was "surprisingly fast" when tested\r\nwith 1600 large random ontologies, compared to state of the art methods to\r\ncompute minimal sets.
\r\nLogic is also useful in ontology matching, for example Ordnance Survey\r\nvocabularies versus Open Street Map. Logic helps the process by finding what\r\nmight need to be changed or removed, but human intervention is needed to make\r\nthe final call.
\r\nNext up, Jemma Chambers turned out to be a brilliant speaker and surely\r\ninspired everyone in the room by telling us how she'd made the most of a\r\ncareer in technology over the past decade. She was in her last week as a CISCO\r\nbusiness development manager, about to move to a similar role at Virgin Media.
\r\nShe started with some statistics:
\r\n(Disclaimer: I may have botched the context of those stats slightly, my notes\r\naren't very clear. But you get the idea. Also she didn't say where these stats\r\nare from).
\r\nJemma did a year-in-industry during her degree, programming for Oracle. She\r\nwas bored out of her mind coding (I'm sure some people in the audience\r\nsympathised, but probably a minority) and thus learnt what job she didn't\r\nwant to do when she graduated. Instead, she joined an accounts management\r\ngraduate program at CISCO, had some doubts but stuck it out, rocked hard in\r\nsales and climbed the ladder through hard work and force of will, despite\r\nvarious sexist or ageist behaviour directed her way. A key point here is\r\nwhatever you end up doing, do it well; being successful wherever you end up\r\nopens doors to what you really want to do, if you're not already there.\r\nEspecially in the big tech companies like CISCO, where moving between jobs\r\ninternally is facilitated and even encouraged.
\r\nOn a related note, Jemma talked a bit about the flexibility of CISCO (and\r\nother similar companies). Working hours, for example, are yours to choose so\r\nlong as you get the job done. Similarly she's had no problem negotiating\r\nmaternity leave, and eighteen months after the birth of her son she's working\r\nthree days a week (and still feels guilty about dropping him with the\r\nbabysitter).
\r\nNaturally she mentioned a few (legitimate) generalisations about women in the\r\nworkplace (nothing I haven't heard before, but this is my fifth Lovelace)\r\nand followed them up with some solid advice. Women seem to attribute success\r\nto outside forces like luck, or kindness of others, where men attribute\r\nsuccess to themselves. It's much easier to move forward if you remind yourself\r\nthat you worked hard for this and deserve it.
\r\nSuccessful men are more likely to be percieved as likeable than successful\r\nwomen, who are often construed as bitches. Ignore what other people think, and\r\ndon't let yourself get walked on to try and make friends. At the same time,\r\ndon't let this stereotype go to your head; remember to support other women in\r\nthe workplace rather than being competitive.
\r\nWomen and men have different leadership styles (generally) as well as other\r\nstrengths and weaknesses of their own, and it's a combination of the two that\r\nreally make a successful team, not more of one than the other.
\r\nJemma recommends reading Lean In by Sheryl Sandberg.
\r\nShe also discussed the various merits of networking (of which I am happy to\r\nattest there are many!) and how to source mentors in the tech community.
\r\nThis talk was a fantastic one to start the day with, especially to prompt any\r\nin the audience who might otherwise have not done so, to talk to everybody.\r\nJemma's enthusiastic speaking style will have kept everyone engaged, too, even\r\nthose still waking up.
\r\nDr 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.
\r\nGillian 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.
\r\nDr 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.
\r\nMilena 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.
\r\nThen someone asked "why are girls scared of coding?" and a lively discussion\r\nensued. For some reason I didn't take notes, but things I can remember that\r\nwere suggested include:
\r\nThere were more; I'll add them if I remember.
\r\nIn between these fantastic talks were coffee, lunch and networking breaks and\r\nof course, poster judging. I teamed up with Milena Radenkovic to assess the\r\nsecond years, and after three quarters of an hour of lunch, plus a 'last\r\nminute' extra half-hour before the decision had to be made (thus I missed the\r\npanel discussion), we had narrowed it down to five... It was hard.\r\nSeriously. We discussed the poster content, presentation, practicality of the\r\nideas, whether the student was showing a project they were personally involved\r\nwith or intending to do (this holds weight with me) and how well the student\r\nexplained their ideas in person. They were all brilliant on all counts. We\r\nnegotiated splitting the second place prize in two, but still had to choose\r\nthree out of our final five.
\r\nEventually we settled on Carys Williams (quantum cryptography; University of\r\nBath) for the first prize, and Heidi Howard (routers that pay their way;\r\nUniversity of Cambridge) and Jo Dowdall (smart tickets; University of Dundee)\r\nfor joint second place.
\r\nI only wish I'd had time to look at the rest of the posters!
\r\nI finished off the day by joining other attendees for dinner, which was all\r\nround brilliant, and resulted in a late night.
\r\nSee other fantastic blog posts...
\r\nJust notes from a three-hour workshop about how to write an Informatics\r\nthesis, on the 16th of April.
\r\nState contributions (to knowledge) explicitly. Intro, conclusions; each\r\nchapter should have some (probably not all) contributions discussed. Be\r\nobvious; use headings.
\r\nKnowledge - background:
\r\nEvidence, well-reasoned arguments, acknowledge limitations.
\r\nClear openings for future work. Be clear where they are.
\r\nMake it reproduceable.
\r\nShort / concise. Examiners like short theses.
\r\nIntroduce what's interesting and important.
\r\nWhen outline thesis, look at structure of main argument, not of document.
\r\nBackground material must have point. Only include as much detail as you need\r\nto make point.
\r\nPoints, eg:
Then we had five minutes to write down what our PhDs are about and what we\r\nhave already found out. I wrote:
\r\nHow do the futures of the Semantic Web and amateur digital content creation\r\nfit together?
\r\nCan Semantic Web tools and technologies be used to enhance collaborative\r\ncreative partnerships and encourage fruitful outputs?
\r\n_
\r\nThere are knowledge sharing systems and collaborative tools for scientific\r\nfields and in education, but nothing for creative artsy things.
\r\n
\r\nAttitudes towards data sharing and privacy amongst content creators are in\r\nflux. There are lots of projects and energy around open data and\r\ndecentralised social networks that allow data to become portable and not tied\r\nto one platform. One of TBL's visions for the Semantic Web is the dissolution\r\nof data silos and 'walled' applications that disadvantage the user, and as\r\nsuch the promotion of the 'ownership' of a user's data by the user themselves,\r\nrather than the software or organisation that uses the data.
\r\n
\r\n__There are lots of reasons people make content. There are lots of reasons\r\npeople don't make content (who could / would like to)._
[Notes resume]
\r\nUse backreferences; don't repeat yourself.
Info / advice
\r\n...homepages.../sgwater/resources.html
\r\n..homepages.../imurray2/teaching/writing
\r\nStyle: Toward Clarity & Grace (book)
\r\nThe Craft of Research (book)
When to start writing thesis?
\r\nDon't assume appendices will be read. More for extra info if needed by people\r\ntrying to reproduce your work (not your examiners).
\r\nToo many direct quotes look like you don't understand and are avoiding\r\nexplaining yourself.
\r\nKeep copies of web resources and cite access dates in case they change /\r\ndisappear.
\r\nFigures might be copyright if you just copy them from papers, even if you cite\r\nthem. Remake them, and put 'adapted from' as citation.
Examiners?
\r\nNo grading system (ie no different levels of passed PhD). Might be external\r\nprizes if you want extra recognition.
","as:name":"[Notes] 'How to write a thesis' workshop","as:published":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-04-18T20:30:00.003Z"},"as:tag":[{"@id":"https://rhiaro.co.uk/tags/doing"},{"@id":"blog:Doing"},{"@id":"https://rhiaro.co.uk/tags/attendee"},{"@id":"https://rhiaro.co.uk/tags/events"},{"@id":"https://rhiaro.co.uk/tags/notes"},{"@id":"https://rhiaro.co.uk/tags/phd"},{"@id":"https://rhiaro.co.uk/tags/thesis"},{"@id":"https://rhiaro.co.uk/tags/workshop"}],"as:updated":{"@type":"http://www.w3.org/2001/XMLSchema#datetime","@value":"2013-05-18T16:47:12.930Z"}},{"@id":"https://rhiaro.co.uk/2013/04/resonate-new","@type":"as:Article","blog:bloggerid":"tag:blogger.com,1999:blog-18505529.post-8954918904391415358","as:actor":{"@id":"http://www.blogger.com/profile/12227954801080178130"},"as:content":"Resonate, held between the 21st and 23rd of March in\r\nBelgrade, Serbia, is "...a platform for networking, information, knowledge\r\nsharing and education. It brings together distinguished, world class artists\r\nwith an opportunity of participating in a forward-looking debate on the\r\nposition of technology in art and culture." (from the website).
\r\nBefore I left, I suggested I might return with the following:
\r\nI largely failed on all three counts.
\r\nI was thrown from the outset by the apparent poor organisation of the event.\r\nNot to mention a complete lack of free food. But the main problem was that\r\nwell over one thousand people had tickets, but on the first day the main\r\nlecture room could hold a few hundred at best. Seating consisted of a handful\r\nof sofas and armchairs and valuable floor space was occupied by altogether too\r\nmany stylish coffee tables. For everyone not lucky enough to be among the\r\nfirst ten in the room it was aching backs and/or pins and needles all round.\r\nThis situation improved slightly after the first day, when two more tracks\r\nopened in slightly bigger rooms, but there was still nowhere near enough\r\nspace. People were bursting out all doors, so switching tracks ever wasn't an\r\noption. There were also several long delays or postponements. A few were\r\nweather related, but too many (ie more than none) were organisational; lack of\r\nprojector in main room, etc.
\r\nThat aside, I was aware that an event labelled 'festival' wasn't going to be\r\nright at the conference end of the party<->conference scale, but I was\r\nsurprised at just how much party it was. A party with thousands of people,\r\nwhere everybody knew someone else but me. This made it particularly difficult\r\nto interact. You might expect the opposite. Indeed, I suspect that for most\r\npeople this was the perfect environment to make new friends, start\r\ncollaborations etc. I'm (usually) great at networking. I'm never great at\r\nsocial situations involving large crowds, a bar and loud music. I tried. But I\r\ncouldn't catch anyone's eye, there was never a moment to start a conversation.\r\nThe most interaction I had over three days was being elbowed out of the way by\r\npeople who felt more entitled to see what was going on than me.
\r\nI might have fared better if...
\r\n...I had succeeded in getting a place at one of the workshops. Places were\r\nvery limited, but it was explained that all workshops were open for anyone to\r\nlisten in on even if you couldn't participate directly. Had I taken part in\r\none, it would have been a lot easier to talk to some specific people. I went\r\nalong to attempt to listen in, however, to find all of the workshops (twenty\r\nor so) consisted of people grouped around tables, together in the same giant\r\nhall. The actual participants were craning their necks, straining to hear\r\ntheir workshop instructor over the general clamour of the event, so it was\r\nimpossible for bystanders to be involved at all. Plus, only a couple of the\r\nworkshops had (handwritten) signs indicating which they were, so there was\r\nalso no way of tracking down the ones I was particularly interested in.
\r\n...I had been to any of the performances or night club tours that started\r\nabout about 9pm each day and ran until the early hours of the morning. The\r\nperformances, as far as I could tell, were electronic music sets, held in\r\nnight clubs or similar venues. I don't do night clubs, and I was knackered\r\nby 7pm anyway, so that was a no go. Having said that, it probably wouldn't\r\nhave been easier to meet new people over very loud music in a place where\r\neveryone was getting drunk, so maybe I didn't miss out.
\r\nNow I've explained that, I will write a bit about the talks I did manage to\r\nget in to, which were generally interesting and of good quality. (The\r\nitinerary I sketched out for myself beforehand differed greatly from what I\r\nactually achieved because of crowd/small room issues mentioned previously).
\r\nThese aren't the only things I went to, but the only ones I took notes or\r\ntweeted about.
\r\n
\r\n**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.
\r\nJulia 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.
\r\nDmitry Morozov ("An Autonomous Synthesis") showed some great circuit bent installations and sound projects; check out http://www.vtol.tk/.
\r\nSignal | 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...
\r\nLucas 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).
\r\nThe onedotzero\r\nscreening was a\r\ncompilation of digital animation work from a number of artists. It was weird\r\nand awesome, with some inspiring visuals and music I need to listen to more\r\n(inspiring for writing fiction, not for the PhD unfortunately). Notes I wrote\r\nduring that suggested I need to listen to the music in Warsnare, and the one\r\nwith the giant Catzilla in.
\r\nMarkus 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.
\r\nMy favourite talk was by Ivan Poupyrev ("Computing Reality"). I tweeted\r\nloads about it, but none of them got sent because the wifi and my phone\r\nweren't playing nice or something. Fortunately I also made a ton of notes.
\r\nIvan describes himself as an 'inventor'; he worked for Sony, and now works for\r\nWalt Disney, and he is inventing the future. He has a great ethic and vision\r\nfor the world; all about "giving people tools to make the world the way they\r\nwant it to be." He envisions a decentralisation of production; large\r\ncorporations only want to make their part of the world interactive, not the\r\nwhole world. So ordinary people must have the technology to use, develop,\r\nspread, build on.
\r\nIn 1999, his team created an augmented reality toolkit, before it's time. In\r\n2001, they developed a flexible display with is interacted with by bending it\r\nand sliding fingers around the back of the screen. A huge amount of\r\ninteractions are possible just by bending and flexing in different ways. In\r\n2004, Sony said "users will never accept a device with no buttons", and all\r\nearly touchscreen devices also had buttons because of this. He says the\r\niPhone was the "fall" of the button, proving everyone wrong. Last year (2012)\r\nthe Sony PS Vita has touchback interaction, and Samsung have released a\r\nflexible display this year (2013) but "nobody cares".
\r\nNow, he says, everything has been invented already, the market is saturated\r\nwith new gadgets. He sees the future of the technology curve as embedded in\r\npeople and surroundings: "no question... that it's coming to your body ...\r\ngoing to seep into the environment, disappear into the environment ...\r\nseamlessly, invisibly, efficiently" and describes a reality that computes\r\nitself, where "the computer doesn't have to exist at all."
\r\nIvan was very expressive about not being any kind of "tree-hugger", but is\r\nconvinced that we don't need to "make more junk". So many resources have been\r\nused, and the earth can't support another industrial revolution. Instead, he\r\nwants to turn everything that already exists into interactive objects,\r\nincluding humans, animals and plants. That may sound weird / scary / far-\r\nfuturistic but guess what... they've already done it.
\r\nFlipping interaction on its head, they're all about not changing the\r\nenvironment, but changing you, or your perception of the environment.\r\nTouchৼ/em> is used for 'virtual tactile perception'... they can create a charged\r\nfield around the human hand so that you feel things differently. The objects\r\nthemselves are passive, simple, unchanged. The person just has to be in\r\ncontact with the device that creates the field, which can be embedded in an\r\nobject you're already touching like clothing, a shoe or an umbrella. Then,\r\nwith no wires or weird contraptions, the person can touch some object (like a\r\nteapot) and as the settings of the field are changed, so the texture of the\r\nobject appears changed.
\r\nWith this technology they can also tell who is touching something, or which\r\npart of your own body you are touching, because everything has a different\r\nelectronic resistance. An example they produced was a touchscreen drawing\r\napplication that changed the pen colour depending on who was drawing, with no\r\nadditional information than sensing the fingers on the screen.
\r\nDisney has the botannicus interacticus \\\\\\\\- an interactive plant. Electrodes\r\nin the soil transform any plant into a multi-touch controller! Gestures\r\naround the plant (à la theremin) or touching the plant in different ways, can\r\nbe mapped to things like sound. It's possible to have very high precision.\r\nAll plants are different, too! So the same tech applied to different plants\r\nwill cause different outcomes. Video.
\r\nThere's an open source version of Touchৼ/em> for Arduino.
\r\nIvan also played with 3D printing, and sees this as something that will become\r\nhugely accessible to the extent that people will start to manufacture most\r\nthings themselves; or at least, pop down to their local corner shop to get\r\nsomething printed from an existing design.
\r\nThey've done some experiments with 3D printing transparent objects, and 'light\r\npipes' which direct colours and sizes of light precisely. They can create\r\ninteractive displays by projecting light from below or behind objects and\r\npiping images onto them.
\r\nIt's possible now to 3D print a broad variety of sensors.
\r\nThese things result in interactive objects that respond to you, but all of the\r\nelectronics are outside of the object, so you can switch one object for\r\nanother one and have it work the same very easily.
\r\nHe concluded with:
\r\n1\\\\\\\\. Digitizing what we already have, not making more junk.
\r\n2\\\\\\\\. Sustainability requires augmenting humans and growing your electronics.
\r\n3\\\\\\\\. Distributed manufacturing vs. mass production.
Resulting thoughts and ideas
\r\n
\r\nI 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\r\nin some way link to what they do, I suspect digital artists like these kinds\r\nof people might be good use cases for what I'm trying to make. They\r\ncollaborate, have varied processes. And are more likely than amateur\r\nYouTubers to be interested in engaging with a new experimental technology.\r\nThey could, for example, be incentivised to record their processes and actions\r\nover the course of a project, and be rewarded with visualisations of their\r\ndata, and comparisons with the data of others. (Actually making the\r\nvisualisations is out of my remit, but there will be someone who can..).
\r\nA thing I should do is analyse blogs, articles, reports, etc about creative\r\ndigital projects for the vocabulary about their processes. I thought about\r\nthis as one of the speakers was just describing step by step the process for\r\none project... but I wasn't listening properly; I only realised in time to\r\nhave this thought, too late to write it all down. But there will be loads of\r\ndocumentation already out there that can be harvested.
\r\nI always think of my project as something that helps a lot toward connecting\r\nwith others for collaborating, but a large part can be finding other art/media\r\nprojects for inspiration. That kind of pitch would sell it to this kind of\r\naudience, at least.
\r\nSo that's that. Photos from all the time I wasn't at Resonate are here.
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