1,134 Matching Annotations
  1. Mar 2016
    1. Where N is the number of clusters (neurons), wi and wj represent the position in the two dimensional spaceof the SOM neurons i and j, and σi and σj represent the standard deviation of the elements (geolocated tweets) included in each cluster.

      Go ahead, blind me with science.

    2. SOM is a type of neural network trained using unsupervised learning that produces a two-dimensional representation of the training samples.

      I'm confused, I thought unsupervised learning didn't have training data?

    3. (1) lack of a formal validation of the results using independent land use data; (2) the studies are presented just for one city, somehow limiting the potential generality of the proposed approach; (3) some data sources (mainly cell phone traces) have strong privacy limitations and (3) in some cases supervised approaches are used, which implies the need of having initial knowledge of the city to derive land uses

      Are 1) and 2) related? Can you produce valid results if you only look at one location?

      I wonder what 3) means. Supervised learning leans on training data, so where does this training data come from?

    4. The results are qualitatively presented and validated and no land use information is actually used

      Is this a problem?

    5. GPS data

      What devices generate this?

    6. call detail records (CDRs) from cell-phones;


    7. without accessing personal details or the content of the user-generated information.

      Isn't place personal? What does this phrase mean here?

    8. and they lack a quantitative validation of the results

      I'm curious, what does this validation look like?


    1. highlighting regions of the text

      Like this! It's actually enabled all over this website.

    1. Another fascinating tidbit: The prominence of the Michael Brown case, relative to some other stories of police violence, is somewhat counterintuitive. The incident that led to Eric Garner's death was captured on video and took place in New York City, the nation's largest media market, while Michael Brown's death was in a tiny suburb in the Midwest. Yet, while #ericgarner was appended to about 4.3 million tweets in the study period, #ferguson showed up in 21.6 million tweets, and #michaelbrown/mikebrown was used in about 9.4 million.

      It is fascinating. I guess part of the story might be the actual boots on the ground in Ferguson, and some savvy organizers on the scene.

  2. Feb 2016
    1. The central part of this pipeline – Open Analysis – has a basic problem: what’s the use of sharing analysis nobody can read or understand? It’s great that people put their analysis online for the world to see, but what’s the point if that analysis is written in dense code that can barely be read by its author?


    1. That kind of standardization could benefit non-technical users, who would become more familiar with how such projects work and what to expect.

      What if you could interrogate a story, like a bot?

    2. These tools support news organizations in their push to develop new storytelling formats that highlight the relationships between news events and help provide readers with richer context.

      Seems to me that more could be done to automate responses to people who have questions about the media, rather than just pushing information out.

    3. Typically, we imagine an all-or-nothing scenario: all with humans or all with machines. She says that’s wrong; across all kinds of industries the approach to automation has changed to focus on more assistive technologies.

      This is an important insight.

    4. Tom Kent, the AP’s standards editor, acknowledges that mistakes are an issue that the AP takes seriously—but he also points out that human-written stories aren’t error free, either.

      The difference in scale here is significant though isn't it?

    5. Patterson says it’s wrong to blame automation for that kind of error. “If the data’s bad you get a bad story,” she says

      What happened to the actual stock price. Isn't this sort of thing what some people think triggered the real estate mortgage crisis?

    6. Now, the majority of stories go live on the wire without a human editor’s review

      Except for the large companies with huge legal teams? :-) You could imagine hooking up some litigation database to determine likely negative consequence of misprinting something. Now that would be weird right?

    7. this kind of information is easily handled by digital systems

      What was it about this data that made it easy to handle? Its dependence on numbers and statistics?

    8. Information of all types is increasingly accessible in the form of “structured data”—predictably organized information, like a spreadsheet, database, or filled-out form. This makes it well suited for analysis and presentation using computers.

      Is there any chance of journalists publishing structured data? Or are there too many forces working against it? Bots originally were for reading data on the Web, before they were creating it.

    9. Companies like Bloomberg and Thomson-Reuters have built empires on their ability to provide market data to business readers

      the data is now going to extremely valuable

    10. who translated those story models into code the computer could run to create a unique story for each new earnings release

      What do these story models look like? How are they translated into code?

    11. With new tools for discovering and understanding massive amounts of information, journalists and publishers alike are finding new ways to identify and report important, very human tales embedded in big data.

      Human in the loop, telling new types of stories.

    12. Automation is also opening up new opportunities for journalists to do what they do best: tell stories that matter.

      This is the dream, right?

    1. Whatmust we know about how bots work in order to trust them?

      Fascinating question.

    2. ad-infested intermediary page


    3. Beyond simplyinformingthe reader, news bots can havemore complex functions, such as:reporting/recommending breaking news(@WikiLive-Mon, which draws on Wikipedia edits, recommends “breaking news candidates” basedon the frequency of article edits in a given time period).

      Seems like it could be difficult to get at they Why question.


    1. Moststudiesfindeitherno,oronlyverysmall,effectsofpersonalizationonsearchresults.

      Then why are they doing it?


    1. Her willingness to share information has little to do with me or my ridiculous consent form, but it is about a kind of openness or mutual exchange.

      Information flows both ways. I can see why this would be important.

    2. And yet. Who is being protected by this consent form?

      Indeed, it's not operating to protect the participant. It's protecting the institution.

    1. The need for multiple local grain mills waned as the economy shifted with the arrival ofthe railroads from grain to beef production, and flour became readily available for pur-chase.

      It doesn't seem like they needed this study to discover this though.

    2. Farms and villages were most often connected by footpaths

      Good times.

    3. One of the main factors influencing the change in the agricultural economy that began inthe mid-nineteenth century was a nation-wide expansion of the road system

      How do they know this if they didn't study it? {{Citation Needed}}

    4. The pond

      That is a pond!?

    5. We were able to walk in thefield and see exactly where we were on the old maps, and found several new features,including old roadways and the remains of structures related to mills and ponds that are nolonger extant.

      Maps lend themselves to some forms of Archaeology .

    6. We have conducted research in this area for over 35 years

      The authors have worked together for 35 years?

    7. We highlightdifferent successful strategies for integrating data that are often incongruent in scales oftime and space, as they have been created for widely differing purposes with variablecontent, and uneven temporal and spatial coverage.

      What does this even mean?

    8. transdisciplinary

      Wait, now it is transdisciplinary instead of interdisciplinary? Make up your minds!

    9. but the overall result falls short of atruly integrated effort

      How do you know if they are integrated or not?

    10. integrate

      Is a single paper that takes those approaches considered integrated?

    11. multidisciplinary

      How is multidisciplinary different from interdisciplinary?

    12. The third group covers other interdisciplinaryhistorical landscape researc

      Doesn't this paper fall in that group? It seems like they are going out of their way to distinguish their approach as unique. Perhaps going a bit too far?


    1. Giventhatitisusuallynotfeasibletoseekadditionalconsent,aprofessionaljudgementmayhavetobemadeaboutwhetherreuseofthedataviolatesthecontractmadebetweensubjectsandtheprimaryresearchers(Hinds,VogelandClarkeSteffen1997).

      Is this a consideration an IRB can make?


    1. One problematic answer is that everything is emergent, every-thing is interrelated, and therefore“it is complex”and nothing can be understood, let alonedone.

      Sounds like Latour?

    2. In contrast to the traditional assumption that the organization is thebounded container for work and tech-nology, many scientists work at a university but identify professionally with their discipline—an invisibleacademic college of similar scholars

      Isn't this paper, with authors from multiple organizations an example of neo-STS work?

    3. Next we show how they can be applied to yield valuable in-sights into three novel working arrangements:

      This is why it won best paper: putting the idea into practice, not just a reformulation of prior research.

    4. The resulting work systems are better described as a“negotiated order”among different organiza-tions and individuals (Strauss, 1978).

      Negotiated order from ethnography?

    5. newformsthat are greater than their components

      Interesting way of looking at things. It seems like another way of looking at innovation?

    6. Context collapse in social networking systems (Vitak, 2012)isnottheelimination of boundaries so much as their reconfiguration.

      Where context is an organization?

    7. not necessarily encapsulated within single organizations

      Ahah, yes -- a single organization is and kind of always was, a myth or mirage.

    8. traditionalorganization

      Yes, traditional -- but that doesn't mean there is no organization.

    9. ree and Open Source Software (FLOSS) provides free,reusable, easily available software7and these infrastructure-based technologies are enduring even withoutan encapsulating organization to design and manage them.

      Are they really saying there are no organizations behind these FOSS projects?

    10. work is no longer tied to systems built and managed by a single organization, but is ratherenabled by broader infrastructures

      couldn't our idea of what is an organization be changing?

    11. informal communities of practice

      aren't these still organizations?

    12. erosion and transcendence

      odd juxtaposition of words

    13. Much of the work in participatorydesign and end user involvement is rooted in the STS tradition,“jointly optimizing”the technology and relat-ed work with attention to the overall user conditions within an organization (

      I didn't expect the connection to participatory design...

    14. IS scholarship that is rooted in the STS tradition will be limited in its ability to address the organization ofwork outside of traditional organizational containers. Organizations no longer create and control many of theIS their workers rely on. Infrastructures and systems exist outside of and independent of the organizationsthat use them.

      Innovation happens elsewhere.

    15. The technology reaches beyond traditional local sociotechnical ensembles, acrosslarge numbers of organizations, and shapes industries, institutions, and society.

      The World Wide Web.


    1. Find ways to integrate individual career needs with the achievement of team goals

      This seems super important.

    2. Of all the aspects of team science, sharing recognition and credit is among the most difficult to master.

      What is an author again ...


    1. to lead

      Could this idea of leadership be a bit antiquated?

    2. The emergent nature of these ad-hoc scientific collaborations surfacesthe final important trend –the increased participation of the non-professional(Shirky 2008)

      Ahh, here is an anti-disciplinary thread.

    3. interdisciplinary, multidisciplinary and transdisciplinary

      Reminds me of Joi Ito's anti-disciplinary :-) how does that fit?

    4. the

      Is it the future or a future?

    5. All too often VSOs underestimate both the complexity and importance of their technical infrastructure, only to be frustrated later when spending more time debugging software than doing science.

      This sounds like infrastructure work instead of scientific work? Building foundations so that science can be done?

    6. ill-fitted to the tasks at hand

      HCI, usability interests here. How can tools be built to the tasks required of VSO?

    7. Amateur astronomers or ornithologists are a classic example. Here the asset maps, governance structures and knowledge flows are more diffuse.

      Andrew Wiggins work with ornithology -- I wonder how her findings relate to these VSOs?

    8. Optimal choices in assets, governance, and knowledge flow will also vary by the scale and scopeof the endeavor.

      Are there good examples of scaling up & down these organizations?

    9. In a short period of time, these VSOs need to quickly determine what assets they have, who makes decisions and who needs to talk to whom.

      How can artifacts & results outlive the VSO?

    10. The longevity of VSOs can also vary from temporary through recurring to permanent.

      What has happened in the last 13 years with the Human Genome Project. Is the data still open? How is it being used, built upon?

    11. Systems that support different-time, different-place interactions preserve the history of interactions in repositories, blogs, and wikis.

      Is it interesting/useful to think of timbl's World Wide Web as a product of VSO work?

    12. governance decisions can be codified into the technologies used by the VSO

      Software/platform studies relevant here?

    13. o research teams that contributed data to the shared human genome database receive credit for their intellectual contributions that is equivalent to a journal publication?

      Reminds me of the What is an Author piece from last week.

    14. periodic face-to-face meetings of all 20 centers and weekly conference calls between the 5 largest centers to share advances in a "lab meeting"format.

      This doesn't sound so virtual.

    15. The DOE championed the project as a means of tracking mutations caused by radiation

      Weird. Was this some kind of perceived risk?

    16. Secondly, intellectual resources are becoming more evenly distributed around the world.


    1. However, this restriction will not apply in the event of the occurrence (certified by the United States Centers for Disease Control or successor body) of a widespread viral infection transmitted via bites or contact with bodily fluids that causes human corpses to reanimate and seek to consume living human flesh, blood, brain or nerve tissue and is likely to result in the fall of organized civilization.

      I guess sometimes a corner a case is a coroner case.

  3. inst-fs-iad-prod.inscloudgate.net inst-fs-iad-prod.inscloudgate.net
    1. However, we would have the same confidencein her empirical findings as we do in Alfonse’s statements that stereotypethreat reduces performance.

      It's funny that I wouldn't typically think of empirical as applying here, but it does. Just because the findings may not extend to a large population it does not mean they aren't empirical evidence.

    2. The objective is saturation. An important component ofcase study design is that each subsequent case attempts to replicate the priorones. Through ‘literal replication’ a similar case is found to determinewhether the same mechanisms are in play; through ‘theoretical replication’a case different according to the theory is found to determine whether theexpected difference is found. Sampling logic is superior when askingdescriptive questions about a population; case study logic is probably moreeffective when asking how or why questions about processes unknownbefore the start of the study.

      How or why questions.

    1. second criticism is that the very idea of quantifying scientific impact is misguided.


    2. oming years will see evaluators playing an academic version of Moneyball (the statistical approach to US baseball): instead of trying to field teams of identical superstars, we will leverage nuanced impact data to build teams of specialists who add up to more than the sum of their parts.

      How will the functioning of these moneball algorithms be vetted and verified? Who will own them? Will they be businesses or infrastructural services we all invest in?


      Where is the identity of the researcher in all this?

    4. Qualitative peer review will move into the open and become yet another public schol-arly product — complete with its own altmet-rics, citations and even other peer reviews

      Qualitative and altmetrics -- what does that even mean?

    5. As the former constituents of the article — data, tables, figures, reference lists and so on — fracture and dissolve into the fluid Web, they will leave behind the core of the article: the story.

      What does it mean for this article to be appearing in Nature -- one of the grandaddy's of scientific publishing? Is it a red herring?

    6. Conversations, data collection, analysis and description will be born published.

      So on the Web means published. This makes a lot of sense. But are all Web resources created equal?

    7. This core approach is also the future for scholarly communication.

      What about the ability to trace ideas and their influences through citations? Isn't this still very important to research? What are there parallels in the altmetric view? Aren't altmetrics just another view on things like a journal's impact factor, which is really just a number?

    8. This core approach is also the future for scholarly communication.

      What about the ability to trace ideas and their influences through citations? Isn't this still very important to research? What are there parallels in the altmetric view? Aren't altmetrics just another view on things like a journal's impact factor, which is really just a number?

    9. views on figshare, mentions in discussions between colleagues on Twitter, saves in a reference manager such as Zotero or Mendeley, citations in an open-access preprint, recommendations on Faculty of 1000, and many more


    10. The Web opens the workshop windows to disseminate scholarship as it happens, erasing the artificial distinction between process and product.

      Interesting to see process and product used together here: MPLP.


    1. Subjects in our experiment created solutions to a challenging bioinformatics problem thatboth industrial and academic labs face, and one that has been subject to a process of cu-mulative innovation outside of our experiment.

      It seems like the pressures in industrial labs are such that an open system would be very difficult to sustain.

    2. 10-digit binary code


    3. speed and accurac

      Are the solutions known then?

    4. Subjects in our experiment hadto developde novooperational algorithms, written in computer code

      Why would anyone want to do this? What were the incentives?

    5. In open source software projects,all manner of software development instructions are instantly made available for others tosee and reuse, as developers make submissions to the code base (Lerner and Tirole 2005;Lerner and Schankerman 2011)

      Many eyes.


    1. Moreover, an analysis using game theory by Engers et al.(1999) has suggested that alphabetical author lists can theo-retically result in research of a poorer quality than if contri-bution strength is signaled by author order.

      This is kind of surprising or at least unexpeced. I wonder how game theory is used to measure quality...

    2. All authors should be able to defend the research presentedin a publication if, for example, they are challenged by a col-league from another experiment at a conference or meeting.Thus, people not closely familiar with the work should notbe listed as authors (or at least as “major” authors)

      This seems like a good idea...

    3. These contributions can be called “infrastruc-tural.”

      Infrastructure is normally invisible. I guess this hyperauthorship model is making the infrastructure visible?

    4. In addition, some physicists described a need to beknown as somebody who can come up with novel solutionsto difficult problems. It is interesting and important to notethat these problems need not be discovery-oriented. To besure, there is significant value in solving, for example, ananalysis problem that leads to a major discovery. At the sametime, though, many participants indicated that a novel solu-tion to a difficult detector design or construction problemalso could carry significant weight.

      This need to be known may not require traditional scholarly publishing: perhaps blogs, software, reputation are important too?


    1. I amsuggesting that we take the time to rethink past research projects and connectthis research with our new projects.

      Looking backwards as well as forwards...

    2. action research, participatory re-search

      I think I need a better understanding of action research. It seems like it could be particularly useful for the study of how software systems are designed and implemented (re: agile).

    3. praxis theory conceptualized by John Deweyin his bookExperience and Education

      Might be a good one to read...

    4. Researchers often find themselves in the predicament of studyingissues they have minimal tacit, intuitive, or experiential understanding.

      I would've thought researchers would be studying things they were interested in, and had some experience with. Perhaps that's a function of my age.

    5. a person must have a practical sense of the domainwithin which a phenomenon is situated in order to develop understanding

      I like this. It seems counter to previous notions from Grounded Theory that a researchers should have no biases from previous literature during data gathering.


    1. Beginning by identifying a hashtag of interest

      Identifying the hashtag of interest is in itself and interesting question, and one we're hoping to examine in DocNow. Could there be an iterative process or heuristic for deriving a good query?

    2. This might speak to a new collection strategy?

      It might be worth referencing TwitterVane, EventsArchive and iCrawl work here? Or not :-D

    3. Future historians may have difficulty studying the online advertisements – annoying as they can be – of our day.

      Unless the original data is deposited somewhere where it can be studied?

    4. prevent


    5. Twitter’s term for turning a Twitter up to 100 Tweet IDs

      wording here is awkward

    6. only 20.34% or 68,112 existed at all in the Wayback Machine

      This sounds similar to what we saw with the Ferguson data. Very interesting! I sometimes worry that part of this are the awful query params that get added for tracking purposes.

    7. Can't embed the actual map here.

      Great idea! You can always screenshot, and link the screenshot too.

    8. for date in dates: date_plus_one = date + pd.DateOffset(1) pretty_print = date.to_pydatetime().strftime('%Y%m%d') filename = 'elxn42-tweets-' + pretty_print + '.json' f = io.open(filename, 'w', encoding='utf-8') for line in fileinput.input(): tweet = json.loads(line) created_at = dateutil.parser.parse(tweet["created_at"]) created_at = created_at.astimezone(eastern) if ((created_at >= date) and (created_at < date_plus_one)): f.write(unicode(json.dumps(tweet, ensure_ascii=False) + '\n'))

      Just as an aside it might be a lot faster to take one pass through the tweets file and see if the date of the tweet falls within the given range, rather than taking a full pass through the data for each date.

    9. TwitterEthics Manifesto,

      Nice, I had not run across this before!

    10. fair dealing as a spectrum

      Is this lawyerese for something, or perhaps misphrased?

    11. twarc.py --stream "#elxn42" > elxn42-stream.json

      Syntax for this recently changed in v0.5.0 -- instead of --stream you now use --track. This is the parameter that Twitter use in their documentation. It was introduced to allow other streaming filter parameters to be added: --follow and --locations.

    12. as we do with all source bases

      Is it worth calling out selection bias here?

    13. Military historians will have access to the voices of soldiers, posting from overseas missions and their bases at home. And political historians will have a significant opportunity to see how people engaged with politicians and the political sphere, during both elections and between them. The scale boggles. Modern social movements, from the Canadian #IdleNoMore protest focusing on the situation of First Nations peoples to the global #Occupy movement that grew out of New York City, leave the sorts of records that would rarely, if ever, have been kept by previous generations

      💖 these examples ... the whole paragraph rocks

  4. Jan 2016
    1. And maybe my desire to submerge myself in that sediment, to weave The Cloud into the timelines of railroad robber-barons and military R&D, emerges from the same anxiety that makes me go try to find these buildings in the first place: that maybe we have mistaken The Cloud's fiction of infinite storage capacity for history itself. It is a misunderstanding that hinges on a weird, sad, very human hope that history might actually end, or at least reach some kind of perfect equipoise in which nothing terrible could ever happen again. As though if we could only collate and collect and process and store enough data points, the world’s infinite vaporware of real-time data dashboards would align into some kind of ultimate sand mandala of total world knowledge, a proprietary data nirvana without terror or heartbreak or bankruptcy or death, heretofore only gestured towards in terrifying wall-to-wall Accenture and IBM advertisements at airports.

      I love how this paragraph unpacks the metaphor of The Cloud! For some reason I found myself thinking about the Pyramids in Gaza afterwards: monuments to an almost insane, but deeply human ambition.

    1. Isay,fuckit.


    2. Fuck Nuance*


    3. ó),Durkheimtheorizedlikeapigformostofhiscareer,snuœingthroughPhilosophyandAnthropologytoemerge,coveredindirt,withafewtruœe-likeideasthatherelentlesslypushedbecausetheyweresoempiricallyproductive.

      Wow, what an image -- Durkheim as pig. I'm not sure the shoe fits though. He looks more raven-like to me.


    4. Davis’s account is usefully dialogical. He has a convincing explanation of howinterestingnessisdependsontherelationshipbetweenthetheoreticalclaimbeingmade,thepositionofthepersonmakingit,andthecompositionoftheaudiencehearingit.esameideamaybeinterestingordulldependingontheserelationships.

      Seems like an interesting article to follow up on (hahahah). Seriously though, this argument for context as an important determinant of whether a theory is interesting or not seems spot on.

    1. historical memory is still in formation

      Is it really still in formation? Just because archives are perhaps rare doesn't mean historical memory is new.


  5. Dec 2015
    1. There’s a neat side effect to having a part of your system that knows all of the possible actions. A new developer can come on the project, open up the action creator files and see the entire API — all of the possible state changes — that your system provides.

      Having a comprehensive list of events that can take place in an application does seem like a really useful view to have, especially in an event driven programming environment like the modern Web browser.

    1. Contemporary literary and cultural theorists would take pains to deny any claim that linear perspective painting, photography, film, television, or computer graphics could achieve unmediated presentation. 27[End Page 325] For them the desire for immediacy through visual representation has become a somewhat embarrassing (because under-theorized) tradition. 28 Outside of the circles of theory, however, the discourse of the immediate has been and remains culturally compelling.

      This seems like a familiar disconnect. Is this sort of dichotomy the way that academe becomes a thing? Or is there more to it?

    2. observers cannot distinguish these images from photographs.

      how quaint!

    3. The desktop metaphor, which has replaced the wholly textual command-line interface, is supposed to assimilate the computer to the physical desktop and materials (file folders, sheets of paper, in-box, trash basket, etc.) familiar to office workers.

      Textual interfaces are still used heavily by a lot of users of computers.


  6. Nov 2015
    1. First, it posts many more HITs than areactually required at any time because only a fraction will ac-tually be picked up within the first few minutes. These HITsare posted in batches, helping quikTurkit HITs stay near thetop. Finally, quikTurkit supports posting multiple HIT vari-ants at once with different titles or reward amounts to covermore of the first page of search results.

      Interesting technique. I guess this adds to the cost?


    1. Why is a device iPod-like, but not an iPod?

      Good question!

    2. If assistive devices mark users as ―other,‖ this may create social barriers to access even while such devices should help overcome them.

      One step forward, two steps back.

    3. The movement rejected the idea of disability as a medical condition,

      Interesting paradigm shift.

    4. As researchers who do not have disabilities

      Interesting personal statement.

    5. Google Faculty Research Award

      Kind of funny that the direct implications are for Apple :-D

    6. Finally, we aggregated the data based on videos rather than on individual users, an approach that could bias results toward users who had uploaded many videos

      This is a very important point.

    7. As such, there was little representation from users who cannot use a touchscreen at all.

      This is an important point.

    8. Users had made them out of different materials to keep from hitting other buttons on the screen, but these materials were often not very sturdy (e.g., paper, cardboard).

      This adaptation reminds me of Jackson's work no repair.

    9. We did not see any instances of pinch-to-zoom or other multitouch gestures in the videos. The built-in accessibility feature on iOS devices called AssistiveTouch could support these interactions. However, this feature was not used in a single video and only 3 survey respondents had ever used it.


    10. 6 users who responded to our survey had never heard of the iOS feature known as AssistiveTouch

      This seems significant, given the number of responses.

    11. Category of application(s) used

      I even wonder about the name of the application used.

    12. were the user from thevideo themselves, while the other 9 were caregivers or relatives answering for the main user.

      Is it important that the responses are mediated?

    13. Video Purpose

      I'd be interested to know what sorts of purposes videos were uploaded to YouTube, and what the coding options were.

    14. the iPad dominated the videos in the dataset

      Interesting. I wonder if this was expected? I would've expected mobile devices instead of tablets.

    15. The diversity of our dataset also highlights that YouTube can be a rich source of data for similar work.

      Was there any thought put into the selection bias involved in using YouTube as a data source. Users who are able to record and upload video will be more proficient at using technology?

    16. The survey included 20 questions

      Quite a few questions for a survey like this?

    17. Following the coding, we qualitatively analyzed subsets ofvideos identified by the codes as being interesting in someway, such as showing a particular type of interaction.

      I wonder how this was documented.

    18. Finally, one researcher coded all remaining videos using the refined coding scheme.

      Sounds like a lot of work! :-D

    19. 21 dimensions

      Were the dimensions discovered as part of the first phase of coding? Or were they just created based on researchers knowledge of the field & previous research?

    20. and a third researcher computed inter-rater reliability on this “spot-check” set using Cohen’s kappa.

      Sounds like a useful technique. I should read up on Cohen's kappa.

    21. We generated a list of disability-related search terms (60) and a list of technology-related search terms (8), then exhaustively searched for every combination of terms from the two lists (Table 1). This resulted in 480 unique searches.

      That's a lot of searches to manage!

    22. To complement the videos themselves, we also invited the video uploaders to complete a survey on their opinions and use of touchscreen technology in their daily lives.

      Nice that YouTube affords this kind of interaction.

    23. relatively few participants

      Relative to what?


    1. Nelson observes that science fiction, regardless of what department the class is in, fosters among students a compelling kind of intellectual re-mixing—what she calls for her own work “South Central LA meets genetics”—that empowers them to connect their studies in in English, sociology, engineering, law, and elsewhere with activism.

      This idea of remixing, and noting where the past surges back into the present reminds me a bit of Judith Butler's work, which describes the non-linearity of history.

    2. I didn’t know I was allowed to do this, to be creative in this way.

      Creative in what way? What is so different about this form of creativity?

    3. You can’t be an outsider hero without the hero. From Lauren Olamina, Butler’s hyper-empathic heroine in Parable of the Sower, to George Orwell’s Winston Smith, sci-fi’s outsider heroes interrogate systems of power.

      What does it mean to interrogate systems of power?

    1. Above all, the model allows us to see preservation as active and continuing: managing change to data rather than trying to prevent it, while viewing data as a living resource for the future rather than a relic of the past.

      Embracing change, rather than trying to prevent it.

    2. emulators to run emulators, ad infinitum.

      A succinct explanation of a complex issue, and a point that is often overlooked in the discussion of emulation.

    3. Of course, there’s always the option of migrating data from old to new media. But migration isn’t as simple as copying files — it’s more like translating from Japanese to Hungarian. Information is invariably lost; do it enough times and the result will be like the garbled message at the end of a game of telephone.

      Nice metaphors: game of telephone, language translation.

    4. We have to stop thinking about how to save data only after it’s no longer needed, as when an author donates her papers to an archive. Instead, we must look for ways to continuously maintain and improve it. In other words, we must stop preserving digital material and start curating it.

      curation as opposed to preservation - similar to what happens on Storify

    1. The players expand upon the Puppet Master’s narrative by collectively creating a second set of stories.

      interesting ; stories are told by participants

    2. Stories and storytelling

      Stories have a plot. Do real world problems have plots?

    3. Under these circumstances, it is difficult for new and creative solutions to thrive, and employees face greater risks in exposing their thought processesbefore concepts are fully formed.

      Pointers towards iterative problem solving.

    4. information is ambiguous

      Interesting that ambiguity plays a role. I wonder what they mean by that.

    5. Instead, the Puppet Masters scatter ambiguous information across a variety of online and offline locationsacross many months.

      Haha. This reminds me how some managers use ticketing systems!

    6. Team members need not take educated guesses of the end game based upon their collective experiences andknowledge of their organization

      Sounds like a loathesome place to work. The best managers I've worked with don't approach things this way.

    7. Although members of the group have some capability to leveragecollective influence to sway goals, the set of tasks are largely structured and pre-defined in order to ensure that they arrive at the result that was determined at the outset of team formation

      Not in agile software development.

    8. no formal mechanisms existed to direct particular users towards the activities that required their expertise

      This seems like an important factor: no top-down management.

    9. Therefore, the determination of necessary tasks wascommonly interwoven with theories and speculation about the eventual goal of the game and the intentions of the Puppet Masters

      This point seems crucial: participants know that someone has set up the game, and that there is some form of rationality to it. Are real world problems like this?

    10. his paperdraws an initial comparison between ARGs and more traditional collaborative systems used within workplace settings across the themes of group formation, task management, information discovery and management, and collective storytelling. These themes emerged as areas of interestfrom our open coding of the ILoveBees (ILB) ARG

      I can't help but wonder how real life problems are different than synthetic ones. The thing with created problems in a game is that there is often always an answer, which is not true of real life.

    11. Our preliminary analysis was based ontheopen content coding of thirty episodes by five researchers, followingthe tenets of GroundedTheory


    12. It was designed to provide an interactive bridge between the worlds of Halo 1 and Halo 2, two popular, genre-defining collaborative first-person shooter style Xbox games

      I feel ethically queasy about building first person shooter games that blur the edges of reality and fiction.

    13. Designers strive to confound players with ever more challenging tasks, yet the players’ focused, collective power leads to rapid, self-governing collaborative problem solving [4] that would be the envy of many organizations

      Would be interesting to follow up on this research, to see how you measure something like problem solving.


    1. we hopeto be able to unlock a number of national collections and develop newinterfaces to provide broader access and opportunities for new forms ofdigital scholarshi

      What would those new forms of scholarship look like?

    2. The primary purpose of this feature extraction work on historical maps is topromote the development of novel research interfaces that allow historicalcontent to be searchable and linkable.

      Were any of these novel research interfaces built?

    3. The processing methodology we used involved supervised image clas-sification using ArcGIS’s ArcScan softwar

      supervised, so someone built a training set?

    4. wil

      Did this collection ever get created?

    5. These documents were never intended to be shared with the public,even though they profoundly influenced the fate of inner-city neighbor-hoods and the growth of racially segregated suburbs for decades

      It's weird to think of government documents like these maps as not being created for the public, isn't it?

    6. Our methodology isbased on supervised, classification image processing techniques

      Are machine learning algorithms a type of research methodology?


    1. create counterfactual, playable extensions from gaps in existing historical records or scientific knowledge(Bonsignore et al., 2012).


    2. protagonist by proxy

      does this idea originate with this research?

    3. Students earned badges for every mission they completed, and a final certification badge when they completed all three missions for a specifi

      Was this managed online?

    4. 2) to develop design-based theories about their integration into immersive learning experiences like ARG

      What does this mean?

    5. databased

      Is database a verb?

    6. ulti-method case study framework


    7. the “This is Not a Game” (TINAG) principle by ARG designers, it can be the primary apparatus for prompting critical, counterfactual thinking and information literacy practices, because players are responsible for distinguishing “truth” from fiction

      interesting idea for teaching critical thinking

    8. The majority are bystanders or “lurkers” who do not participate in the story except at a minimal level, such as passively experiencing it through the latest story updates from a player community website. To mitigate this uneven active participation ratio and to realize more fully the potential of ARGs in education-based contexts, we are investigating ways to incorporate cooperative learning constructs (e.g., Johnson et al., 1994) into their design

      Need to incorporate many modes of play


    1. In a very real sense, the story of the game is undetermined at its outset.


    2. The adaptable, controlling puppetmaster role has emerged

      The author?

    3. In this sense, ARGs always have a centralized team of storytellers who controls the release of clues and facts.

      It's interesting how centralization is a key aspect to the ARG.

    4. assemble

      Referencing Deleuze's theory of assemblage.

    5. rather than conforming to older production models

      Sounds like Marx?

    6. In this paper, we consider ARGs as an example of digital social experiences

      So wait, they are digital, but they aren't digital?

    7. At heart, all people love stories and seek to interpret the world through comprehensible narratives ranging from the intensely personal to the future of the species.

      What are the world religions, if not stories to make the world comprehensible?

    1. older production models


    2. In this paper, we consider ARGs as an example of digital social experiences.

      So wait, they are digital, but they aren't digital?

    3. At heart, all people love stories and seek to interpret the world through comprehensible narratives ranging from the intensely personal to the future of the species

      What are the world religions, if not stories to make the world comprehensible?

    1. Maybe I wanted to find more rigorous ways of thinking.

      More rigorous, because you can return to it, edit it, remember it (years later).

    1. Book of the Dead, The American Book of the Dead, Life-Savers, Blacksmith, Germantown, The Dead Motel, Dylar, Point Omega, Flying Saucers, Nyodene, Maladyne, The Blacksmith Book, The Art of Dying, The Power of Night, A Guide to Dying, Reno Amusements, Particle Smashing, Falling Bodies, White Noise, Donald Duck, Ultrasonic, Mein Kamp, Sirens, Doomsday, The Doomsday Book, Dying Words, Atlantic & Pacific, Escape, Simuvac, Superstition, Deathless, Eternity, Darkness, Necropolis, All Souls, Megabyte, Penny Dreadful, Psychic Data, Panasonic, Ultrasound, Matshushita, Panasonic Way, Air Waves, Secaucus (DeLillo, Notebook)

      Love these!

    1. I have dedicated my entire professional life to helping people make their lives better.


    2.  These are human beings, talking about other human beings.

      It's important to remember they are human beings. When schools wrap themselves in the garb of test results and budgetary numbers it is so easy to forget this simple fact -- and the students that they turn into data.

    3. I could write a whole separate post about how students don’t even seem to exist.

      ooh, good point!

    1. Whatever may be the limitations which trammel inquiry elsewhere we believe the great state University of Wisconsin should ever encourage that continual and fearless sifting and winnowing by which alone the truth can be found.

      Sifting and winnowing -- nice turn of phrase :-)