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  • Digital Humanities Specialist | humanities software, visualization and analysis
    a city composed not of the neighborhoods that it was actually made of but instead of neighborhoods most similar to each other based off the characteristics we measured You can see the interactive version here http bl ocks org emeeks 5218414 It s a great concept I think but it proved illegible to most users and as with many of these objects performed poorly when integrated into the larger site There s more on the floor For instance I ve pointed before to a topic model browser I made in Protoviz that allows the reader to compare writing about species in the IUCN Red List compared to the same entries for those species on Wikipedia to compare the differences in language of the two species databases In process is a new version of this using my much improved skills and D3 which will hopefully leverage the lessons folks have learned about representing the results of topic modeling It s my hope that at some point we ll have a better process for releasing and annotating these objects and I d hope there s a larger solution to better raise the visibility and understanding of this process for those currently on the outside Until then I ll try to keep posting the code on Github and giving some explanation of them here Posted in D3 Digital Scholarly Work Spatial Humanities Visualization Comments Off City Nature Posted on March 13 2013 by Elijah Meeks Today we re releasing City Nature the results of work exploring natural environments in urban areas using topic modeling GIS and data visualization The site has rich interactivity including an amazing parallel coordinates plot that allows you to explore the greenness and demography of 2600 US neighborhoods I created a few of the dataviz elements and helped with the research but the majority of the digital humanities development work was by Karl Grossner PIs on the project are Jon Christensen and Michael Kahan here at Stanford though Jon has since moved to UCLA and included a summer research project involving a dozen undergraduates here at Stanford who had the chance to work with remote sensing GIS topic modeling and information visualization Posted in Digital Humanities at Stanford Spatial Humanities Text Analysis Visualization Comments Off Toward a Connected Humanities Posted on March 4 2013 by Elijah Meeks Zephyr Frank and Erik Steiner were kind enough to give me a chance to discuss networks in humanities scholarship for the Visualizing Evidence course here at Stanford Here s the talk Posted in Algorithmic Literacy Graph Data Model Visualization Comments Off Color and Precision Posted on February 26 2013 by Elijah Meeks Color has been bothering me lately To get to color though we have to take a short digression into space You see a lesson you learn early on in spatial analysis is that just because your GIS package gives you 12 points of decimal precision when you add a point that doesn t mean you should use it False precision in the case of coordinates is well understood but I wonder why there is no analog in color As data visualization grows more prominent color theory becomes a practical consideration of modern scholarship just as geometry ontology formal logic and countless other seemingly unrelated fields have begun to intrude upon literature and history And while work has been done by folks like Cynthia Brewer and the team at Tableau to solve practical issues of palette and readability I m more interested in the issue of false precision in color representation and the use of functions to determine visual attributes rather than fixed values To better understand what random perturbation of color and visual elements would produce I wrote a little color perturbation toy in D3 that takes advantage of the range slider and color picker HTML elements these only work in Chrome and wrote a quick function to randomize the color displayed in 506 squares while displaying a single large square with the original color selected The original randomization function still in the code as slightyRandomColor just adjusted the individual Red Green and Blue RGB elements of the selected color in a completely random fashion function slightlyRandomColor r g b range r r Math floor Math random range Math floor range 2 g g Math floor Math random range Math floor range 2 b b Math floor Math random range Math floor range 2 return rgb r g b I updated this in the slightlyLessRandomColor function to take into account the distance from maximum value of that primary color Naturally there s some disagreement as to what a primary color is and a CMYK scale would treat this differently but this is just an initial foray In a finished version I d prefer this to be based on pure hues so that variation increases in the muddy regions The code is pretty simple function lessSlightlyRandomColor r g b range var scaleRamp d3 scale linear domain 256 0 range 5 2 clamp true var rRange range scaleRamp r var gRange range scaleRamp g var bRange range scaleRamp b r r Math floor Math random rRange Math floor rRange 2 g g Math floor Math random gRange Math floor gRange 2 b b Math floor Math random bRange Math floor bRange 2 return rgb r g b The effects are rather striking The idea is that rather than picking a single color out of the 256x256x256 or 16 78 million available colors you designate a small or large color region In a sense this is an imprecise color suitable for less precise data Now perhaps you re working with data where you can claim 1 in 16 78 million precision I don t typically have that at my disposal and that s one of the reasons I wanted to explore this The primary motivation is still aesthetic of course and I think that this minor perturbation will be more appealing and attractive to readers This can be taken beyond color elements and applied to line thickness as I ve done in the demo and curving on paths opacity et cetera These channels in the parlance of information visualization are all amenable to functional values that can be jostled based on known inaccuracies in individual data points or generally understood issues of uncertainty precision and accuracy of the project as a whole Again the curves end up looking like they ve been drawn though with only minor perturbation by someone with a steady hand and so the aesthetic motivation is there but the aesthetic enshrines a fact of data visualization used in representing the kinds of phenomena I m called on the represent The results give a different understanding of what it means to have the same level of variation when that variation is not just a simple value but a function based on the value of the color being affected Turning the variation up to a maximum of 50 which means 25 from the R G and B positions on the color already implies less variation for values at the top or bottom of the scale near 0 or 255 in other words and since the function further scales this variation so that it is more at 0 and less at 255 the result is that high variation has quite different visual results There are at least three issues at play here One is the capacity to optically distinguish between different parts of visual light spectrum which could itself be accounted for in the development of functional colors The second is the use of functions to perturb visual elements for aesthetic purposes as well as to address issues of visual representation of complexity and uncertainty The final is the idea of regions be they color regions or angle regions or line thickness regions to fight against false precision Naturally with high enough variation you can end up damaging the ability for a reader to distinguish between categories of elements as seen in the changing color ramp on the bottom of the demo The variability in the blue in this particular case and each time it will be different makes it impossible to distinguish between category 20 and category 18 and just as difficult to distinguish between category 17 and category 19 or if this is a continuous ramp to distinguish that entire region But it may be that this is imprecision is a more accurate representation of some very imprecise dataset You may therefore be able to use functional colors and imprecise colors to provide higher accuracy with lower precision Obviously this begs for a robust implementation which I hope to provide some time down the road The gist of the code can be found here Posted in Algorithmic Literacy D3 Spatial Humanities Visualization Comments Off The Digital Humanities as a Donkey Posted on February 19 2013 by Elijah Meeks Advice animals are a long established method of passing along knowledge and learning about subject matter especially academic But I have found no Digital Humanities advice animal and so I offer up the only slightly used ORBIS donkey I think we need a stalwart mosaic Digital Humanities Donkey to explain the subtle truths of this field to prospective undergraduates on Reddit Helpfully I ve also provided a superhip version Now maybe there s some kind of digital humanities emu or marmoset out there in which case I m not trying to muscle in on their territory But if not here s an example or three to get the ball rolling Posted in Natural Law The Digital Humanities as Comments Off Martin Evans Posted on February 16 2013 by Elijah Meeks When I first came to Stanford University and I was expected to do digital humanities without quite knowing what that meant I had the very good fortune to work with Martin Evans a professor in the English Department and a Miltonist While we never got around to representing the pan chronology of Paradise Lost we did manage to cobble together a small site in Flash remember this was 2010 before Flash was evil that presented people and places and texts linked together in a dynamic manner If you ve still got Flash installed you can see Authorial London here Martin Evans died on Monday February 11th 2013 In my time working with him and since he was always dynamic and incisive and ambitious When I first started doing digital humanities professionally I am a specialist after all I thought myself to be very much smarter than the folks who had neglected to learn how to code Dr Evans disabused me of this notion early on and not through any kind of browbeating but instead by simply demonstrating the kind of intellectual rigor and attention to detail it took to really understand the complexities of literature such as Lycidas In reading Martin s obituaries I ve found him quoted as a staunch defender of the humanities You would have to be as green as I was three years ago to think that such a defense would necessitate being an opponent of digital humanities Bitter constraint and sad occasion dear Compels me to disturb your season due Posted in Digital Humanities at Stanford Comments Off Digital Literacy and Digital Citizenship Posted on February 11 2013 by Elijah Meeks Visual notes of my talk about digital humanities in high school education On Friday I gave a talk for a Bay Area Teacher Development Collaborative workshop entitled Technology for Teaching and Learning What s Worthwhile What s the Next Chapter I was asked to speak broadly on the role of digital humanities in middle school and high school education and put together this slide deck which I thought I d explain a little more fully here Usually I don t explain the title page You already know the website address and likely my email address and probably my job title but there s a little piece of information that I ve felt the need to emphasize more and more as I go out into the world for conferences and talks I work for the library I never imagined how much of a difference this would make in different venues It s an alt ac position and so you receive the usual discourtesies if someone thinks that you re pretending to be Stanford faculty I ve found it best to clearly mark and emphasize that This wasn t the case for the BATDC conference and maybe that s why I m comfortable making this digression The abstract network in the background is TVTropes of course In any talk about digital humanities even those held at conferences that have digital and or humanities in the name it helps to suggest another definition of digital humanities Here s a rather practical one It s the application and integration of buzzwords and acronyms into humanistic inquiry I ve thought of GIS NLP SNA DataViz as the 3 1 pillars of digital humanities for a while but I think more than those particular methods digital humanities is the demystification of computational methods and their application in new and untraditional ways So it helps to mock them It may be that a better definition of digital humanities Careful application of computational methods to humanistic inquiry paired with careful application of skepticism toward computational methods for humanistic inquiry The examples for each are an isophoretric map of the Roman World topic clouds a network visualization of several generations of Darwins and a parallel coordinates visualization of neighborhoods These latter two examples are from projects which we hope to release in the coming weeks GIS There are so many good examples of GIS used for digital humanities research This might be bias on my part since spatial analysis was my first experience with this kind of work and so I m more aware of projects like ORBIS Vision of Britain and Civil War Washington all of which provide ready made resources for middle school and high school teachers that want to bring geospatial information visualization into their classes Because we have such a long and rich history of representing abstract concepts and data on maps it makes a good gateway into more exotic data analysis and visualization methods So while these sites teach us about space and history they also provide object examples of data visualization that because of our familiarity and literacy with maps doesn t seem so arcane as network and text and other information visualization Each of the slides for GIS NLP SNA and DataViz is meant to not only give resources for course material but also provide avenues for teachers that want to get started with creating and developing more material using these methods To that end Neatline Google Fusion Tables and Quantum GIS are all freely available and provide the capacity for teachers to build their own dynamic and interactive geospatial projects NLP Natural Language Processing is a harder thing to demystify than GIS Maps and directions are a large and highly visible part of our life but text analysis tends to be hidden away But tools like Voyant provide teachers with the capacity to apply a wide variety of NLP processes to whatever text they would like to examine whether it s assigned reading or student essays Importantly the accessibility and user friendliness of Voyant means that teachers and students can playfully engage with NLP and learn the methods through using the tools Somehow I forgot to mention Wordle during the talk but one of the teachers pointed it out during Q A SNA While network analysis is not only social network analysis it s what people know and so part of explaining networks is starting with social networks and then introducing transportation networks genealogies administrative networks and so on Like NLP it is difficult to point to straightforward examples that are easy to integrate into courses but for those that want to get started I pointed them to my Interactive Introduction to Network Analysis as well as my Network Analysis toolkit of choice Gephi Data Information Visualization Data visualization as a fourth category is interesting from an ontological perspective since it overlaps and conflicts in scope with the previous three But I ve noticed that it occupies a distinct space in the mental map of the digital humanities among practitioners and provides a very accessible entry into the various more intimidating methods above My only link is to D3 js because it provides not only a great library with which to build data viz but an excellent gallery of examples of data visualization There s so much dataviz on the Internet that providing examples seems pointless So that s what and how but why The remaining slides in the deck deal not with what digital humanities is are was nor how to do it or find it but why it s important The broad definition of digital humanities makes it more difficult to make this case and so that s why I settled on the constrained practical definition I started with Practically speaking integration of these methods and techniques makes sense for the following reasons Reason 1 Digital humanities is fun I touched on this a while back in regard to the popular appeal of ORBIS By bringing innovative interactive and highly visual methods into the exploration of humanities subjects you engage students in a way that just text does not This is the basic principle behind gamification except that the digital humanities isn t trying to dress up an experience with the appearance of interactivity but rather is predicated by it Using Voyant is fun You play with Gephi People have tweeted that ORBIS is awesome Reason 2 Digital humanities is inherently collaborative I won t repost the slide for this one which is simply three lists of contributors to various DH projects Collaboration is important from both a professional perspective and a social perspective The world that your students are going to go out into

    Original URL path: http://dhs.stanford.edu/ (2013-04-29)
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  • About | Digital Humanities Specialist
    to give Stanford faculty access to project design visualization and software development oriented toward the creation of digital scholarly media While a formal proposal process is in place for quarterly projects involving scholars or teams of scholars informal consultation is regularly available The Digital Humanities as a field has been growing in legitimacy and importance within the academy The use of spatial analytical tools to study historic change text mining

    Original URL path: https://dhs.stanford.edu/about/ (2013-04-29)
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  • Tools | Digital Humanities Specialist
    do much of my data analysis with query language and scripted batch queries It doesn t make for attractive screenshots but oftentimes scholars need traditional statistical analysis of datasets and models PHP I had no choice with PHP it came as part of the WAMP stack and a very good friend of mine knew how to use it I have a feeling this is the way it works with all the scripting languages I used PHP extensively to build data services for all my Flex apps before retiring from the AS3 trade and still use it for any scraping or scripting task that deals with traditional MySQL style data I also use PHP for bulk data processing and to build custom endpoints It s boring and it s necessary Spatial Analysis As I ve repeated to everyone who will listen to me there are three types of analysis that tend to be brought to bear on digital humanities projects Spatial Analysis Text Analysis and Network Analysis For the first I still lean on ArcGIS for most of my geoprocessing and map making though I ve started to use QGIS more lately especially since it s so well suited for producing data amenable to being fed into Drupal ArcPy is too seductively easy for me though the smart people I know who do this work with more skill and frequency than I are much more invested in other Python geo processing packages Javascript Visualization The future is finally here I was one of the loudest Actionscript3 supporters but even I have to admit that libraries like paper js and D3 are now so feature rich that there s no reason to create an rich Internet page that can t be properly displayed on an iPad Tools like the gexfjs viewer allow

    Original URL path: https://dhs.stanford.edu/about/tools/ (2013-04-29)
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  • Comprehending the Digital Humanities | Digital Humanities Specialist
    but in this case I chose to forgo it in favor of the incident percentage MALLET will output the following formatted data with the output doc topics option doc source topic proportion 0 iucn 10004 txt 11 0 13 25 0 1 5 0 09 39 0 08 33 0 05 15 0 04 19 0 04 16 0 04 1 iucn 10005 txt 11 0 24 8 0 13 5 0 13 27 0 09 14 0 04 13 0 04 28 0 03 18 0 03 2 iucn 10006 txt 1 0 15 5 0 13 11 0 08 25 0 07 19 0 07 17 0 07 20 0 07 16 0 06 This indicates the association between a document column 1 and 2 and a topic Column 3 and its strength Column 4 Columns 5 6 7 8 9 10 et cetera are progressively lower ranked associations of that document with the listed topic So reading this Document 0 10004 txt is associated with Topic 11 with a strength of 13 it s also associated with Topic 25 with a strength of 1 Topic 5 with a strength of 09 Topic 39 with a strength of 08 c c Please note that this particular output is not from this project hence the existence of topic numbers 19 These are directly used as the links between topic and document MALLET will also output the following with the word topic counts file option 0 open 16 45 11 32 4 28 17 4 1 minutes 1 4 2 video 17 27 5 2 3 viral 5 4 4 part 12 93 13 73 2 12 19 5 0 2 5 group 14 34 8 33 7 10 16 1 6 parodies 5 2 7 based 17 56 12 56 1 42 19 24 8 10 8 german 8 7 14 3 6 1 9 austrian 5 1 10 film 16 9 11 5 5 5 In this case columns 0 and 1 indicate the word while the next columns are Topic Instantiation pairs for as many topics as contain instances of that word Film has 9 instances in Topic 16 5 instances in Topic 11 and 5 instances in Topic 5 Transforming this into graph data produces the following SOURCE TARGET WEIGHT film Topic 16 47 Topic 16 What Is Digital Humanities and What s It Doing in English Departments 23 For the purpose of dealing with this as a Topic Network I only dealt with topic to paper and word to topic connections of greater than 10 both for the purposes of manageability and because as Gephi currently exists it does not take edge weight into account when analyzing communities and so many low weight connections known as edges in the parlance of network analysis was reducing the statistical significance of the identified topic modules I present the results in the Topology page with many visualizations and not too many explanations It wasn t my intent to

    Original URL path: https://dhs.stanford.edu/comprehending-the-digital-humanities/ (2013-04-29)
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  • Topology | Digital Humanities Specialist
    sample but are the most self similar When giving the software more categories it may identify silver ore and native silver in the same category Given even more categories it may separate those two Given enough categories then what was originally classified as soil in the first pass may end up in the same category as something that was originally classified as rock in the first pass However native silver or any other small highly self similar material has a much higher likelihood of maintaining its level of representation once the level of granularity has reached a point wherein it is noticed than other less highly self similar materials The same can occur with topics and in this way a single low ranked topic can be seen to rise up the ranks as the same corpus is analyzed with an ever increasing number of topics These attributes of a topic can be illustrated as a topology for each topic and through visualization can be compared qualitatively with a view toward intuitive classification In most of the images below topics are colored red with smaller size and lighter red indicating less centrality Documents are in green with size corresponding to the size of the document and lightness corresponding to less centrality Words are in blue with size corresponding to the total number of that word represented in the corpus and lightness corresponding to less centrality Connections between words and topics are in blue with thickness and darkness corresponding to percent of incidence of that word appearing in the connecting topic Connections between topics and documents are in red with thickness and brightness corresponding to strength of connection from topic to document The topologies of Topics 2 14 and 16 are quite dissimilar and while they share some words and papers should

    Original URL path: https://dhs.stanford.edu/comprehending-the-digital-humanities/topology/ (2013-04-29)
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  • Topics | Digital Humanities Specialist
    Is a Spectrum or We re All Digital Humanists Now 42 Topic 7 Humanities computing as interdiscipline 6 Topic 8 The Digital Humanities and Humanities Computing An Introduction 37 Topic 8 THE QUESTION S OF DIGITAL HUMANITIES 7 Topic 9 The Digital Humanities Manifesto 2 0 8 Topic 9 What Is Digital Humanities and What s It Doing in English Departments 5 Topic 9 Imagining the New Media Encounter 5 Topic 9 Wikipedia Digital Humanities 2 2010 6 Topic 9 The MLA briancroxall and the non rise of the Digital Humanities 6 Topic 9 Stuff Digital Humanists Like Defining Digital Humanities by its Values 10 Topic 9 Kobe Bryant and the Digital Humanities 5 Topic 9 I m Chris Where am I wrong 41 Topic 9 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 11 Topic 9 Our commitment to the digital humanities 6 Topic 9 The Inhibition of Geographical Information in Digital Humanities Scholarship 10 Topic 9 SPECULATIVE COMPUTING Aesthetic provocations in humanities computing 6 Topic 9 Defining Humanities Computing 5 Topic 9 Three Barriers to the Development of Digital Tools in and for the Humanities 6 Topic 9 Digital Scholarship in the University Tenure and Promotion Process 6 Topic 9 Advice to DigHum Job Candidates 10 Topic 10 Reporting from the Digital Humanities 2010 Conference 5 Topic 10 Stuff Digital Humanists Like Defining Digital Humanities by its Values 7 Topic 10 Kobe Bryant and the Digital Humanities 76 Topic 10 Forms of Attention Digital Humanities Beyond Representation 5 Topic 10 SPECULATIVE COMPUTING Aesthetic provocations in humanities computing 75 Topic 11 A Digital Humanities Manifesto 43 Topic 11 Wikipedia Digital Humanities 12 2007 7 Topic 11 The Future of the Digital Humanities 43 Topic 11 The MLA and the Digital Humanities 9 Topic 11 Reporting from the Digital Humanities 2010 Conference 9 Topic 11 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 5 Topic 11 Our commitment to the digital humanities 5 Topic 11 The Inhibition of Geographical Information in Digital Humanities Scholarship 5 Topic 11 The Digital Humanities and Humanities Computing An Introduction 8 Topic 11 THE QUESTION S OF DIGITAL HUMANITIES 10 Topic 11 Humanities Computing Chapter 1 5 Topic 12 The State of Digital Humanities 2010 10 Topic 12 The Turtlenecked Hairshirt 8 Topic 12 The Landscape of Digital Humanities 5 Topic 12 Humanities Computing as Digital Humanities 32 Topic 12 Day of Digital Humanities 2010 11 Topic 12 Wikipedia Digital Humanities 2 2010 8 Topic 12 Wikipedia Humanities Computing 12 2005 8 Topic 12 Wikipedia Digital Humanities 12 2007 36 Topic 12 The Future of the Digital Humanities 7 Topic 12 The MLA and the Digital Humanities 11 Topic 12 The MLA briancroxall and the non rise of the Digital Humanities 13 Topic 12 Computing What s American Literary Study Got to Do with IT 10 Topic 12 Reporting from the Digital Humanities 2010 Conference 6 Topic 12 Stuff Digital Humanists Like Defining Digital Humanities by its Values 15 Topic 12 Our commitment to the digital humanities 5 Topic 12 Forms of Attention Digital Humanities Beyond Representation 10 Topic 12 Defining Humanities Computing 5 Topic 12 Three Barriers to the Development of Digital Tools in and for the Humanities 6 Topic 12 The Digital Future is Now A Call to Action for the Humanitie 8 Topic 12 Perspectives on the Digital Humanities 6 Topic 12 Digital Scholarship in the University Tenure and Promotion Process 9 Topic 12 Why technology matters the humanities in the twenty first century 7 Topic 12 Humanities Computing Chapter 1 11 Topic 12 Digital Humanities A Multiple Choice Test 5 Topic 12 More Hackety Hack Less Yackety Yack Ruby for Humanists 15 Topic 12 Advice to DigHum Job Candidates 8 Topic 12 Humanities computing as interdiscipline 6 Topic 13 The Digital Humanities Manifesto 2 0 30 Topic 13 The French Digital Humanities Manifesto 5 Topic 13 The Turtlenecked Hairshirt 11 Topic 13 Imagining the New Media Encounter 5 Topic 13 WHAT IS HUMANITIES COMPUTING AND WHAT IS NOT 6 Topic 13 Our commitment to the digital humanities 5 Topic 13 Perspectives on the Digital Humanities 5 Topic 13 The Inhibition of Geographical Information in Digital Humanities Scholarship 11 Topic 13 The Digital Future is Now A Call to Action for the Humanitie 11 Topic 13 Digital Scholarship in the University Tenure and Promotion Process 7 Topic 13 Advice to DigHum Job Candidates 6 Topic 13 Creating Scholarly Tools and Resources for the Digital Ecosystem 37 Topic 14 The State of Digital Humanities 2010 11 Topic 14 A Digital Humanities Manifesto 13 Topic 14 The Digital Humanities Manifesto 2 0 9 Topic 14 The Turtlenecked Hairshirt 15 Topic 14 Humanities Computing as Digital Humanities 9 Topic 14 Day of Digital Humanities 2010 11 Topic 14 Day of Digital Humanities 2009 9 Topic 14 Wikipedia Digital Humanities 2 2010 5 Topic 14 Wikipedia Humanities Computing 12 2005 5 Topic 14 Wikipedia Digital Humanities 12 2007 11 Topic 14 The MLA and the Digital Humanities 11 Topic 14 The MLA briancroxall and the non rise of the Digital Humanities 6 Topic 14 Computing What s American Literary Study Got to Do with IT 10 Topic 14 Reporting from the Digital Humanities 2010 Conference 6 Topic 14 Kobe Bryant and the Digital Humanities 8 Topic 14 I m Chris Where am I wrong 6 Topic 14 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 15 Topic 14 Google and the Digital Humanities 9 Topic 14 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 6 Topic 14 Our commitment to the digital humanities 8 Topic 14 Perspectives on the Digital Humanities 6 Topic 14 The History of Humanities Computing 6 Topic 14 The Inhibition of Geographical Information in Digital Humanities Scholarship 7 Topic 14 SPECULATIVE COMPUTING Aesthetic provocations in humanities computing 8 Topic 14 Defining Humanities Computing 6 Topic 14 Three Barriers to the Development of Digital Tools in and for the Humanities 12

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  • Documents | Digital Humanities Specialist
    Interview 25 Topic 18 Day of Digital Humanities 2010 49 Topic 6 Day of Digital Humanities 2010 11 Topic 12 Day of Digital Humanities 2010 11 Topic 14 Day of Digital Humanities 2010 10 Topic 18 Day of Digital Humanities 2009 8 Topic 2 Day of Digital Humanities 2009 40 Topic 4 Day of Digital Humanities 2009 9 Topic 14 Day of Digital Humanities 2009 8 Topic 19 Wikipedia Digital Humanities 2 2010 5 Topic 2 Wikipedia Digital Humanities 2 2010 6 Topic 5 Wikipedia Digital Humanities 2 2010 6 Topic 9 Wikipedia Digital Humanities 2 2010 8 Topic 12 Wikipedia Digital Humanities 2 2010 5 Topic 14 Wikipedia Digital Humanities 2 2010 5 Topic 15 Wikipedia Digital Humanities 2 2010 11 Topic 18 Wikipedia Digital Humanities 2 2010 20 Topic 19 Wikipedia Digital Humanities 2 2010 5 Topic 20 Wikipedia Humanities Computing 12 2005 5 Topic 2 Wikipedia Humanities Computing 12 2005 5 Topic 3 Wikipedia Humanities Computing 12 2005 10 Topic 6 Wikipedia Humanities Computing 12 2005 8 Topic 12 Wikipedia Humanities Computing 12 2005 5 Topic 14 Wikipedia Humanities Computing 12 2005 11 Topic 15 Wikipedia Humanities Computing 12 2005 10 Topic 16 Wikipedia Humanities Computing 12 2005 24 Topic 18 Wikipedia Digital Humanities 12 2007 7 Topic 3 Wikipedia Digital Humanities 12 2007 7 Topic 11 Wikipedia Digital Humanities 12 2007 36 Topic 12 Wikipedia Digital Humanities 12 2007 11 Topic 14 Wikipedia Digital Humanities 12 2007 14 Topic 18 Wikipedia Digital Humanities 12 2007 6 Topic 20 The Future of the Digital Humanities 5 Topic 2 The Future of the Digital Humanities 43 Topic 11 The Future of the Digital Humanities 7 Topic 12 The Future of the Digital Humanities 8 Topic 18 The MLA and the Digital Humanities 9 Topic 3 The MLA and the Digital Humanities 10 Topic 6 The MLA and the Digital Humanities 9 Topic 11 The MLA and the Digital Humanities 11 Topic 12 The MLA and the Digital Humanities 11 Topic 14 The MLA and the Digital Humanities 21 Topic 18 The MLA briancroxall and the non rise of the Digital Humanities 36 Topic 3 The MLA briancroxall and the non rise of the Digital Humanities 6 Topic 9 The MLA briancroxall and the non rise of the Digital Humanities 13 Topic 12 The MLA briancroxall and the non rise of the Digital Humanities 6 Topic 14 The MLA briancroxall and the non rise of the Digital Humanities 12 Topic 18 Computing What s American Literary Study Got to Do with IT 8 Topic 2 Computing What s American Literary Study Got to Do with IT 10 Topic 12 Computing What s American Literary Study Got to Do with IT 10 Topic 14 Computing What s American Literary Study Got to Do with IT 7 Topic 18 Computing What s American Literary Study Got to Do with IT 30 Topic 19 Digital Keys for Unlocking the Humanities Riches 8 Topic 2 Digital Keys for Unlocking the Humanities Riches 6 Topic 15 Digital Keys for Unlocking the Humanities Riches 37 Topic 17 Digital Keys for Unlocking the Humanities Riches 9 Topic 18 Digital Keys for Unlocking the Humanities Riches 7 Topic 19 Reporting from the Digital Humanities 2010 Conference 6 Topic 6 Reporting from the Digital Humanities 2010 Conference 5 Topic 10 Reporting from the Digital Humanities 2010 Conference 9 Topic 11 Reporting from the Digital Humanities 2010 Conference 6 Topic 12 Reporting from the Digital Humanities 2010 Conference 6 Topic 14 Reporting from the Digital Humanities 2010 Conference 6 Topic 17 Reporting from the Digital Humanities 2010 Conference 23 Topic 18 Reporting from the Digital Humanities 2010 Conference 22 Topic 19 Reporting from the Digital Humanities 2010 Conference 5 Topic 20 Stuff Digital Humanists Like Defining Digital Humanities by its Values 5 Topic 2 Stuff Digital Humanists Like Defining Digital Humanities by its Values 6 Topic 5 Stuff Digital Humanists Like Defining Digital Humanities by its Values 10 Topic 9 Stuff Digital Humanists Like Defining Digital Humanities by its Values 7 Topic 10 Stuff Digital Humanists Like Defining Digital Humanities by its Values 15 Topic 12 Stuff Digital Humanists Like Defining Digital Humanities by its Values 8 Topic 15 Stuff Digital Humanists Like Defining Digital Humanities by its Values 8 Topic 18 Stuff Digital Humanists Like Defining Digital Humanities by its Values 14 Topic 19 Stuff Digital Humanists Like Defining Digital Humanities by its Values 6 Topic 20 Kobe Bryant and the Digital Humanities 5 Topic 9 Kobe Bryant and the Digital Humanities 76 Topic 10 Kobe Bryant and the Digital Humanities 8 Topic 14 I m Chris Where am I wrong 41 Topic 9 I m Chris Where am I wrong 6 Topic 14 I m Chris Where am I wrong 12 Topic 16 I m Chris Where am I wrong 5 Topic 19 I m Chris Where am I wrong 8 Topic 20 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 11 Topic 1 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 11 Topic 2 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 6 Topic 4 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 11 Topic 9 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 15 Topic 14 DH2010 Plenary Present Not Voting Digital Humanities in the Panopticon 17 Topic 19 Google and the Digital Humanities 7 Topic 2 Google and the Digital Humanities 7 Topic 5 Google and the Digital Humanities 9 Topic 14 Google and the Digital Humanities 6 Topic 18 Google and the Digital Humanities 45 Topic 20 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 17 Topic 2 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 42 Topic 7 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 5 Topic 11 Digital Humanities Is a Spectrum or We re All Digital Humanists Now 6 Topic 14 Digital Humanities Is a Spectrum or

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  • Data | Digital Humanities Specialist
    11 quarter Topic 6 0 09 1 hayles Topic 6 0 09 1 svensson Topic 6 0 18 2 senior Topic 6 0 09 1 stand Topic 6 0 36 4 manifesto Topic 6 0 18 2 turns Topic 6 0 3 3 dissertation Topic 6 0 7 7 ed Topic 6 0 9 9 session Topic 6 1 10 couldn Topic 6 1 10 twenty Topic 6 0 3 3 tweeted Topic 6 1 10 prominent Topic 6 0 4 4 panel Topic 6 1 10 reflected Topic 6 0 4 4 quoted Topic 6 0 5 5 compare Topic 6 0 2 2 computing Topic 7 0 04 31 data Topic 7 0 11 46 project Topic 7 0 02 8 information Topic 7 0 01 3 model Topic 7 0 17 53 time Topic 7 0 04 11 practice Topic 7 0 07 16 make Topic 7 0 06 10 methods Topic 7 0 28 46 form Topic 7 0 36 60 approach Topic 7 0 2 30 means Topic 7 0 08 11 application Topic 7 0 07 9 user Topic 7 0 28 32 image Topic 7 0 2 23 computational Topic 7 0 32 35 idea Topic 7 0 16 17 content Topic 7 0 24 26 forms Topic 7 0 54 54 visual Topic 7 1 100 intellectual Topic 7 0 02 2 environment Topic 7 0 27 26 system Topic 7 0 14 12 level Topic 7 0 12 10 technical Topic 7 0 38 30 provide Topic 7 0 22 17 reason Topic 7 0 17 13 relation Topic 7 0 33 24 tradition Topic 7 0 18 13 writing Topic 7 0 01 1 production Topic 7 0 38 26 author Topic 7 0 19 12 moment Topic 7 0 05 3 function Topic 7 0 12 7 past Topic 7 0 16 9 interpretation Topic 7 1 57 game Topic 7 0 02 1 thought Topic 7 0 55 29 activity Topic 7 0 35 18 temporal Topic 7 1 50 aesthetic Topic 7 1 47 aesthetics Topic 7 1 45 processing Topic 7 0 6 25 formal Topic 7 0 38 15 speculative Topic 7 1 38 event Topic 7 0 22 8 response Topic 7 0 03 1 interface Topic 7 0 17 6 day Topic 7 0 32 11 mere Topic 7 0 65 22 generative Topic 7 1 34 subjective Topic 7 1 32 requirement Topic 7 0 29 9 principles Topic 7 0 52 16 exist Topic 7 0 19 6 mode Topic 7 0 37 11 basis Topic 7 0 24 7 conceptual Topic 7 0 45 13 display Topic 7 0 66 19 collective Topic 7 0 11 3 xml Topic 7 0 07 2 imaginative Topic 7 1 26 ongoing Topic 7 0 12 3 special Topic 7 0 56 14 perception Topic 7 0 4 10 artist Topic 7 0 71 17 phrase Topic 7 0 08 2 emergent Topic 7 0 67 16 profound Topic 7 0 39 9 interpretive Topic 7 0 87 20 recognition Topic 7 0 22 5 exists Topic 7 0 5 11 framework Topic 7 0 05 1 forward Topic 7 0 05 1 man Topic 7 0 05 1 truth Topic 7 0 9 19 meant Topic 7 0 29 6 external Topic 7 0 38 8 structural Topic 7 0 05 1 rise Topic 7 0 3 6 pure Topic 7 0 65 13 extensive Topic 7 0 25 5 artistic Topic 7 0 35 7 capability Topic 7 0 55 11 criticism Topic 7 0 05 1 systematic Topic 7 0 84 16 cognitive Topic 7 0 84 16 capacity Topic 7 0 58 11 george Topic 7 0 17 3 logical Topic 7 0 94 17 picture Topic 7 0 41 7 essay Topic 7 0 41 7 tru Topic 7 0 06 1 giving Topic 7 0 25 4 descriptive Topic 7 0 81 13 playspace Topic 7 1 16 realm Topic 7 0 07 1 intuitive Topic 7 1 15 condition Topic 7 0 2 3 graphic Topic 7 0 93 14 attitude Topic 7 0 6 9 conception Topic 7 0 5 7 father Topic 7 0 07 1 intelligence Topic 7 0 57 8 st Topic 7 0 21 3 iterative Topic 7 1 14 unique Topic 7 1 14 concrete Topic 7 0 57 8 visualizations Topic 7 0 46 6 parameters Topic 7 0 69 9 architecture Topic 7 0 69 9 instruments Topic 7 0 92 12 procedural Topic 7 1 13 conceived Topic 7 0 54 7 operations Topic 7 0 69 9 inherent Topic 7 0 54 7 procedures Topic 7 1 13 chance Topic 7 0 92 12 trivial Topic 7 0 23 3 classical Topic 7 1 13 algorithmic Topic 7 0 92 12 necessity Topic 7 0 83 10 thesis Topic 7 0 58 7 stable Topic 7 1 12 properties Topic 7 1 12 progress Topic 7 1 12 teams Topic 7 0 25 3 debates Topic 7 0 33 4 subjectivity Topic 7 1 12 german Topic 7 0 09 1 outcomes Topic 7 0 91 10 dialogue Topic 7 0 27 3 positioning Topic 7 1 11 viewed Topic 7 0 09 1 digitized Topic 7 0 09 1 disciplined Topic 7 0 18 2 notation Topic 7 0 45 5 quantum Topic 7 1 11 utility Topic 7 0 4 4 western Topic 7 0 4 4 front Topic 7 0 9 9 attributes Topic 7 0 3 3 establishing Topic 7 0 3 3 marked Topic 7 1 10 roots Topic 7 0 1 1 irrelevant Topic 7 0 3 3 participatory Topic 7 0 3 3 layers Topic 7 0 6 6 mechanism Topic 7 1 10 discovered Topic 7 0 13 1 model Topic 8 0 8 254 science Topic 8 0 15 40 object Topic 8 0 16 35 form Topic 8 0 21 34 sense Topic 8 0 11 16 approach Topic 8 0 01 1 words Topic 8 0 11 13 models Topic 8 0 35 40 role Topic 8 0 01 1 current Topic 8 0 14 16 argue Topic 8 0 26 29 computational Topic 8 0 2 22 idea Topic 8 0 34 37 database Topic 8 0 13 14 historical Topic 8 0 14 15 map Topic 8 0 34 35 perspective Topic 8 0 02 2 interest Topic 8 0 11 10 theory Topic 8 0 19 17 system Topic 8 0 19 16 level Topic 8 0 22 19 instance Topic 8 0 07 6 group Topic 8 0 13 10 context Topic 8 0 49 38 strong Topic 8 0 29 21 relation Topic 8 0 07 5 engagement Topic 8 0 14 10 physical Topic 8 0 45 32 purpose Topic 8 0 01 1 definition Topic 8 0 17 11 effect Topic 8 0 39 25 philosophy Topic 8 0 45 28 hand Topic 8 0 48 29 scientific Topic 8 0 49 26 story Topic 8 0 42 22 technique Topic 8 0 15 8 close Topic 8 0 18 9 linguistic Topic 8 0 1 5 personification Topic 8 1 50 key Topic 8 0 06 3 meaning Topic 8 0 24 11 action Topic 8 0 76 34 natural Topic 8 0 38 17 account Topic 8 0 33 15 mind Topic 8 0 41 18 essential Topic 8 0 32 13 explicit Topic 8 0 39 15 reader Topic 8 0 14 5 response Topic 8 0 44 16 initial Topic 8 0 43 15 day Topic 8 0 03 1 figure Topic 8 0 53 18 analogy Topic 8 1 34 reality Topic 8 0 33 11 experiment Topic 8 0 7 23 factor Topic 8 0 75 24 philosophical Topic 8 0 59 19 imagine Topic 8 0 13 4 entity Topic 8 1 32 discovery Topic 8 0 55 17 factors Topic 8 0 73 22 display Topic 8 0 28 8 phenomenon Topic 8 0 62 18 chapter Topic 8 0 89 24 table Topic 8 0 52 14 distributed Topic 8 0 04 1 experimental Topic 8 0 46 12 knowing Topic 8 0 44 11 perception Topic 8 0 56 14 ontological Topic 8 0 46 11 ground Topic 8 0 5 12 heidegger Topic 8 1 24 character Topic 8 0 58 14 efforts Topic 8 0 3 7 practitioner Topic 8 0 09 2 simulation Topic 8 0 96 22 light Topic 8 0 36 8 force Topic 8 0 36 8 man Topic 8 0 64 14 product Topic 8 0 55 12 follow Topic 8 0 14 3 evident Topic 8 0 05 1 shift Topic 8 0 29 6 contexts Topic 8 0 33 7 studied Topic 8 0 71 15 worth Topic 8 0 45 9 absolute Topic 8 0 45 9 extensive Topic 8 0 4 8 brought Topic 8 0 3 6 explain Topic 8 0 26 5 parts Topic 8 0 53 10 cognitive Topic 8 0 16 3 included Topic 8 0 11 2 candidate Topic 8 0 78 14 instances Topic 8 0 06 1 entities Topic 8 1 18 gradual Topic 8 0 39 7 speech Topic 8 0 44 8 weight Topic 8 1 18 lost Topic 8 0 06 1 relevance Topic 8 0 24 4 implicit Topic 8 0 82 14 cases Topic 8 0 59 10 polanyi Topic 8 1 17 peter Topic 8 0 19 3 total Topic 8 0 19 3 pragmatic Topic 8 0 88 14 manipulate Topic 8 0 38 6 manipulation Topic 8 0 88 14 graphical Topic 8 0 56 9 metamorphoses Topic 8 1 16 trope Topic 8 1 15 michael Topic 8 0 67 10 verbal Topic 8 0 87 13 failure Topic 8 1 15 convergence Topic 8 0 13 2 awareness Topic 8 0 4 6 analytic Topic 8 0 4 6 skill Topic 8 0 6 9 diagram Topic 8 1 15 personified Topic 8 1 15 realize Topic 8 0 5 7 wrong Topic 8 0 07 1 definite Topic 8 0 07 1 inference Topic 8 0 36 5 quote Topic 8 0 07 1 father Topic 8 0 29 4 independence Topic 8 0 71 10 energy Topic 8 0 29 4 tacit Topic 8 1 14 amount Topic 8 0 29 4 class Topic 8 0 14 2 poet Topic 8 1 14 weights Topic 8 1 14 named Topic 8 0 54 7 scheme Topic 8 0 46 6 instruments Topic 8 0 08 1 fixed Topic 8 0 77 10 manipulating Topic 8 0 77 10 devices Topic 8 0 38 5 parallel Topic 8 0 46 6 accepted Topic 8 0 08 1 vocabulary Topic 8 0 46 6 mechanical Topic 8 1 13 behaviour Topic 8 1 13 galison Topic 8 1 13 hacking Topic 8 1 13 questioning Topic 8 0 92 11 implied Topic 8 0 75 9 ontology Topic 8 0 75 9 tended Topic 8 0 42 5 greek Topic 8 0 42 5 test Topic 8 0 42 5 counts Topic 8 0 08 1 guidelines Topic 8 0 08 1 cognition Topic 8 0 5 6 maintained Topic 8 0 27 3 imp Topic 8 0 45 5 telling Topic 8 1 11 linear Topic 8 0 91 10 contingent Topic 8 0 36 4 dominated Topic 8 0 45 5 detail Topic 8 0 55 6 heuristic Topic 8 0 82 9 personifying Topic 8 1 11 quoted Topic 8 0 3 3 ignorance Topic 8 1 10 attributes Topic 8 0 6 6 relational Topic 8 0 3 3 ready Topic 8 0 6 6 interpret Topic 8 0 2 2 phenomenological Topic 8 0 7 7 concludes Topic 8 0 8 8 earth Topic 8 0 2 2 genuine Topic 8 1 10 random Topic 8 0 2 2 candidates Topic 8 0 5 5 law Topic 8 0 7 7 verbs Topic 8 0 6 6 apparatus Topic 8 0 7 7 improved Topic 8 1 10 symbolic Topic 8 1 10 analogies Topic 8 1 10 conjectural Topic 8 1 10 singular Topic 8 0 13 1 discovered Topic 8 0 13 1 differing Topic 8 0 14 1 reduce Topic 8 0 2 1 project Topic 9 0 14 58 computer Topic 9 0 44 132 text Topic 9 0 23 60 time Topic 9 0 29 72 analysis Topic 9 0 17 36 important Topic 9 0 02 4 based Topic 9 0 05 10 material Topic 9 0 59 99 people Topic 9 0 12 19 year Topic 9 0 29 47 set Topic 9 0 09 14 conference Topic 9 0 29 38 made Topic 9 0 1 12 clear Topic 9 0 02 2 words Topic 9 0 19 23 area Topic 9 0 57 68 texts Topic 9 0 66 77 user Topic 9 0 28 32 electronic Topic 9 0 66 75 word Topic 9 0 26 29 paper Topic 9 0 29 32 structure Topic 9 0 33 36 discussion Topic 9 0 33 35 find Topic 9 0 2 21 issues Topic 9 0 03 3 database Topic 9 0 01 1 change Topic 9 0 03 3 internet Topic 9 0 19 19 number Topic 9 0 1 10 interest Topic 9 0 26 24 support Topic 9 0 63 56 archive Topic 9 0 28 25 offer Topic 9 0 08 7 document Topic 9 0 58 52 ear Topic 9 0 82 70 collection Topic 9 0 26 22 wide Topic 9 0 43 35 group Topic 9 0 42 33 publish Topic 9 0 32 25 involve Topic 9 0 23 17 range Topic 9 0 29 20 complex Topic 9 0 13 9 purpose Topic 9 0 03 2 scale Topic 9 0 05 3 start Topic 9 0 34 22 author Topic 9 0 39 25 kinds Topic 9 0 06 4 association Topic 9 0 64 39 topic Topic 9 0 13 8 program Topic 9 0 63 37 programs Topic 9 0 19 11 established Topic 9 0 4 23 impact Topic 9 0 31 18 began Topic 9 0 6 34 game Topic 9 0 02 1 major Topic 9 0 42 23 personal Topic 9 0 48 26 english Topic 9 0 3 16 developed Topic 9 0 54 29 modern Topic 9 0 13 7 activity Topic 9 0 38 20 issue Topic 9 0 02 1 linguistic Topic 9 0 52 26 key Topic 9 0 43 20 series Topic 9 0 98 46 main Topic 9 0 3 14 longer Topic 9 0 05 2 aspects Topic 9 0 6 26 easily Topic 9 0 81 34 processing Topic 9 0 29 12 tei Topic 9 1 42 markup Topic 9 0 83 35 feature Topic 9 0 23 9 deal Topic 9 0 46 18 presented Topic 9 0 45 17 bring Topic 9 0 13 5 recognize Topic 9 0 76 29 editor Topic 9 0 29 11 usa Topic 9 0 11 4 institute Topic 9 1 36 interface Topic 9 0 23 8 initial Topic 9 0 57 20 organize Topic 9 1 34 quantitative Topic 9 0 09 3 short Topic 9 0 03 1 needed Topic 9 0 03 1 standard Topic 9 1 33 version Topic 9 0 81 26 period Topic 9 1 32 linguistics Topic 9 1 31 volume Topic 9 0 45 14 developments Topic 9 0 86 25 generation Topic 9 0 22 6 xml Topic 9 0 3 8 chapter Topic 9 0 11 3 active Topic 9 0 41 11 letters Topic 9 0 65 17 concordance Topic 9 0 56 14 corpus Topic 9 0 56 14 special Topic 9 0 24 6 added Topic 9 1 24 beginning Topic 9 0 38 9 character Topic 9 0 42 10 economic Topic 9 0 13 3 profound Topic 9 0 26 6 oxford Topic 9 0 43 10 recognition Topic 9 0 04 1 links Topic 9 0 59 13 facilitate Topic 9 0 18 4 companion Topic 9 0 55 12 authorship Topic 9 0 45 10 numbers Topic 9 0 05 1 annual Topic 9 0 14 3 participant Topic 9 0 43 9 british Topic 9 0 67 14 born Topic 9 0 43 9 days Topic 9 0 45 9 begun Topic 9 1 20 carried Topic 9 0 5 10 add Topic 9 0 9 18 busa Topic 9 0 95 19 hypertext Topic 9 0 7 14 alberta Topic 9 0 05 1 meeting Topic 9 0 37 7 international Topic 9 0 37 7 dissemination Topic 9 0 58 11 wanted Topic 9 1 19 held Topic 9 0 79 15 input Topic 9 0 63 12 de Topic 9 0 22 4 financial Topic 9 0 28 5 gradual Topic 9 0 56 10 mail Topic 9 0 67 12 sophisticated Topic 9 0 56 10 led Topic 9 0 59 10 sgml Topic 9 0 53 9 regular Topic 9 0 88 15 latin Topic 9 0 65 11 characters Topic 9 0 76 13 expected Topic 9 1 16 giving Topic 9 0 75 12 committee Topic 9 0 94 15 allc Topic 9 1 16 file Topic 9 0 44 7 continued Topic 9 0 94 15 manipulate Topic 9 0 06 1 stephen Topic 9 0 73 11 michael Topic 9 0 33 5 base Topic 9 0 27 4 reach Topic 9 0 87 13 substantial Topic 9 1 15 navigation Topic 9 1 15 ach Topic 9 1 15 citation Topic 9 0 53 8 archival Topic 9 0 07 1 graphic Topic 9 0 07 1 scene Topic 9 0 07 1 audio Topic 9 0 79 11 market Topic 9 0 07 1 contextual Topic 9 0 07 1 father Topic 9 0 64 9 ibm Topic 9 0 29 4 archiving Topic 9 1 14 appeared Topic 9 1 14 st Topic 9 0 21 3 datasets Topic 9 0 07 1 mid Topic 9 1 14 schools Topic 9 0 08 1 volumes Topic 9 1 13 scheme Topic 9 0 54 7 maintaining Topic 9 1 13 advent Topic 9 0 77 10 fashion Topic 9 1 13 searchable Topic 9 1 13 fixed Topic 9 0 23 3 devices Topic 9 0 62 8 vital Topic 9 0 23 3 poems Topic 9 0 08 1 vocabulary Topic 9 0 54 7 codex Topic 9 0 31 4 meetings Topic 9 1 12 incorporated Topic 9 0 5 6 served Topic 9 0 5 6 tables Topic 9 0 25 3 fast Topic 9 0 83 10 archaeology Topic 9 0 17 2 tended Topic 9 0 5 6 theorists Topic 9 0 92 11 greek Topic 9 0 58 7 middle Topic 9 1 12 counts Topic 9 0 83 10 cards Topic 9 0 5 6 german Topic 9 0 64 7 date Topic 9 0 45 5 encouraged Topic 9 0 82 9 orientation Topic 9 0 09 1 networking Topic 9 0 45 5 leaving Topic 9 0 27 3 flexible Topic 9 0 09 1 establishment Topic 9 1 11 schemes Topic 9 1 11 maintained Topic 9 0 73 8 gave Topic 9 0 18 2 helped Topic 9 1 11 everyday Topic 9 1 11 adoption Topic 9 0 55 6 raised Topic 9 0 91 10 attempts Topic 9 0 55 6 facilities Topic 9 0 91 10 putting Topic 9 0 64 7 punched Topic 9 1 11 concordances Topic 9 0 9 9 europe Topic 9 1 10 institutes Topic 9 0 2 2 relational Topic 9 0 7 7 ready Topic 9 0 4 4 automation Topic 9 0 3 3 plenty Topic 9 1 10 discovered Topic 9 0 5 4 research Topic 10 0 02 13 university Topic 10 0 02 7 information Topic 10 0 03 10 computer Topic 10 0 08 23 science Topic 10 0 01 3 time Topic 10 0 01 2 analysis Topic 10 0 05 10 book Topic 10 0 08 14 year Topic 10 0 04 6 language Topic 10 0 49 71 pedagogy Topic 10 0 01 2 center Topic 10 0 05 6 common Topic 10 0 02 3 words Topic 10 0 36 43 texts Topic 10 0 15 17 great Topic 10 0 14 16 human Topic 10 0 05 6 current Topic 10 0 1 11 word Topic 10 0 13 14 computational Topic 10 0 1 11 paper Topic 10 0 01 1 long Topic 10 0 08 9 change Topic 10 0 01 1 perspective Topic 10 0 26 26 fact Topic 10 0 11 11 number Topic 10 0 02 2 document Topic 10 0 11 10 represent Topic 10 0 07 6 system Topic 10 0 41 35 include Topic 10 0 01 1 textual Topic 10 0 11 9 provide Topic 10 0 2 16 context Topic 10 0 08 6 problem Topic 10 0 01 1 present Topic 10 0 18 13 answer Topic 10 0 1 7 call Topic 10 0 3 19 philosophy Topic 10 0 05 3 modes Topic 10 0 07 4 hand Topic 10 0 22 13 today Topic 10 0 3 18 including Topic 10 0 2 12 programs Topic 10 0 09 5 began Topic 10 0 23 13 technological Topic 10 0 12 7 obvious Topic 10 0 15 8 changing Topic 10 0 08 4 single Topic 10 0 51 26 expression Topic 10 0 08 4 linguistic Topic 10 0 38 19 encoding Topic 10 0 04 2 professor Topic 10 0 08 4 found Topic 10 0 08 4 edition Topic 10 0 09 4 multimedia Topic 10 0 09 4 main Topic 10 0 15 7 natural Topic 10 0 18 8 written Topic 10 0 82 36 mind Topic 10 0 2 9 humanistic Topic 10 0 02 1 service Topic 10 0 1 4 applied Topic 10 0 13 5 free Topic 10 0 47 18 laboratory Topic 10 0 08 3 precise Topic 10 0 19 7 vision Topic 10 0 06 2 challenge Topic 10 0 15 5 person Topic 10 0 34 11 lines Topic 10 0 28 9 write Topic 10 0 06 2 statistics Topic 10 0 26 8 logic Topic 10 0 26 8 exist Topic 10 0 06 2 small Topic 10 0 16 5 million Topic 10 0 6 18 values Topic 10 0 17 5 basis Topic 10 0 1 3 conceptual Topic 10 0 07 2 informatics Topic 10 0 97 28 side Topic 10 0 29 8 comparative Topic 10 0 11 3 collective Topic 10 0 46 13 thomas Topic 10 0 54 15 extent Topic 10 0 07 2 interpretative Topic 10 0 04 1 survey Topic 10 0 15 4 global Topic 10 0 42 11 index Topic 10 0 92 23 begin Topic 10 0 24 6 express Topic 10 0 36 9 understood Topic 10 0 12 3 exchange Topic 10 0 29 7 london Topic 10 0 04 1 phrase Topic 10 0 17 4 vast Topic 10 0 17 4 profound Topic 10 0 04 1 output Topic 10 0 26 6 report Topic 10 0 77 17 accurate Topic 10 0 36 8 draw Topic 10 0 05 1 translation Topic 10 1 22 copyright Topic 10 0 1 2 meant Topic 10 0 43 9 exploratory Topic 10 0 29 6 existence Topic 10 0 1 2 achieve Topic 10 0 2 4 categories Topic 10 0 2 4 grammar Topic 10 0 4 8 integral Topic 10 0 45 9 depth Topic 10 0 5 10 brought Topic 10 0 7 14 explain Topic 10 0 11 2 half Topic 10 0 16 3 functions Topic 10 0 21 4 principal Topic 10 0 53 10 held Topic 10 0 21 4 input Topic 10 0 37 7 war Topic 10 0 22 4 included Topic 10 0 06 1 sort Topic 10 0 44 8 machines Topic 10 0 22 4 sufficient Topic 10 0 44 8 led Topic 10 0 35 6 latin Topic 10 0 35 6 peter Topic 10 0 44 7 starting Topic 10 0 19 3 distinguished Topic 10 0 25 4 distribution Topic 10 0 25 4 constant Topic 10 0 25 4 file Topic 10 0 56 9 manipulation Topic 10 0 13 2 conclusion Topic 10 0 27 4 indexing Topic 10 0 33 5 addition Topic 10 0 2 3 speaking Topic 10 0 67 10 lexicon Topic 10 1 15 audio Topic 10 0 21 3 realize Topic 10 0 5 7 native Topic 10 0 36 5 formed Topic 10 0 43 6 frequency Topic 10 0 5 7 contextual Topic 10 0 14 2 ibm Topic 10 0 71 10 cut Topic 10 0 43 6 ended Topic 10 0 29 4 intelligence Topic 10 0 43 6 hermeneutic Topic 10 1 14 thomisticus Topic 10 1 14 prepared Topic 10 0 14 2 stone Topic 10 0 21 3 york Topic 10 0 38 5 memory Topic 10 0 77 10 internal Topic 10 0 23 3 correspondence Topic 10 0 77 10 arguments Topic 10 0 46 6 operations Topic 10 0 23 3 centuries Topic 10 0 62 8 automatic Topic 10 0 92 12 reproduction Topic 10 0 77 10 god Topic 10 1 13 care Topic 10 0 42 5 evaluate Topic 10 0 17 2 programme Topic 10 0 25 3 respective Topic 10 1 12 transfer Topic 10 0 75 9 situations Topic 10 0 92 11 adding Topic 10 0 42 5 moves Topic 10 0 25 3 teams Topic 10 0 17 2 compared Topic 10 0 42 5 enormous Topic 10 1 12 cards Topic 10 0 5 6 bits Topic 10 0 27 3 deliberate Topic 10 0 18 2 city Topic 10 0 64 7 contents Topic 10 0 55 6 increased Topic 10 0 36 4 universal Topic 10 0 27 3 step Topic 10 0 82 9 disciplined Topic 10 0 82 9 twenty Topic 10 0 4 4 correct Topic 10 0 5 5 hours Topic 10 0 5 5 front Topic 10 0 1 1 length Topic 10 0 9 9 automation Topic 10 0 6 6 adopted Topic 10 0 2 2 gained Topic 10 0 1 1 comprehensive Topic 10 0 3 3 speed Topic 10 0 7 7 summarize Topic 10 1 10 launched Topic 10 0 6 6 mentioned Topic 10 0 8 8 victorian Topic 10 0 4 4 passive Topic 10 0 6 6 solution Topic 10 0 6 6 syntax Topic 10 1 10 verbs Topic 10 0 3 3 quantities Topic 10 1 10 apparatus Topic 10 0 2 2 european Topic 10 1 10 discovered Topic 10 0 25 2 text Topic 11 0 19 48 practice Topic 11 0 04 9 world Topic 11 0 14 28 important Topic 11 0 27 52 question Topic 11 0 24 43 thing Topic 11 0 34 54 set Topic 11 0 42 63 language Topic 11 0 19 28 real Topic 11 0 35 51 representation Topic 11 1 142 questions Topic 11 0 43 60 means Topic 11 0 07 10 require Topic 11 0 21 25 communication Topic 11 0 14 15 word Topic 11 0 26 29 computational Topic 11 0 1 11 literary Topic 11 0 19 20 software Topic 11 0 15 14 offer Topic 11 0 1 9 document Topic 11 0 28 25 working Topic 11 0 03 3 good Topic 11 0 22 18 order Topic 11 0 66 53 sources Topic 11 0 01 1 record Topic 11 0 13 9 hand Topic 11 0 27 16 commitment Topic 11 0 25 15 points Topic 11 0 53 32 turn Topic 11 0 41 24 programs Topic 11 0 02 1 game Topic 11 0 38 21 state Topic 11 0 02 1 expression Topic 11 0 29 15 meaning Topic 11 0 43 20 relevant Topic 11 0 02 1 put Topic 11 0 61 27 aspects Topic 11 0 28 12 pattern Topic 11 0 42 18 easily Topic 11 0 19 8 description Topic 11 0 02 1 feature Topic 11 0 35 14 formal Topic 11 0 63 25 challenges Topic 11 0 15 6 ability Topic 11 0 13 5 explicit Topic 11 0 34 13 degree Topic 11 0 64 23 quantitative Topic 11 0 03 1 providing Topic 11 0 06 2 proper Topic 11 0 97 31 frame Topic 11 0 16 5 statistics Topic 11 0 55 17 brings Topic 11 0 47 14 effective Topic 11 0 13 4 rules Topic 11 0 7 21 share Topic 11 0 27 8 professional Topic 11 0 1 3 lead Topic 11 0 04 1 xml Topic 11 0 11 3 concordance Topic 11 0 44 11 begin Topic 11 0 48 12 express Topic 11 0 52 13 exchange Topic 11 0 08 2 ontological Topic 11 0 54 13 assumptions Topic 11 0 67 16 wrote Topic 11 0 39 9 imagination Topic 11 0 13 3 poem Topic 11 0 26 6 complexity Topic 11 0 13 3 facilitate Topic 11 0 14 3 exists Topic 11 0 5 11 apply Topic 11 0 09 2 accurate Topic 11 0 23 5 forward Topic 11 0 09 2 movement Topic 11 0 64 14 semantic Topic 11 1 21 reasoning Topic 11 1 20 grammar Topic 11 0 6 12 serve Topic 11 0 7 14 explain Topic 11 0 21 4 situation Topic 11 0 89 17 computation Topic 11 0 42 8 impossible Topic 11 0 53 10 conscious Topic 11 0 68 13 usage Topic 11 0 42 8 principal Topic 11 0 11 2 underlying Topic 11 0 06 1 choice Topic 11 0 56 10 answers Topic 11 0 94 17 principle Topic 11 1 18 sort Topic 11 0 06 1 concepts Topic 11 0 89 16 repositories Topic 11 0 06 1 drawn Topic 11 1 17 efficient Topic 11 1 17 characteristics Topic 11 1 17 sgml Topic 11 0 47 8 assume Topic 11 1 17 bryant Topic 11 1 17 popular Topic 11 0 13 2 modeling Topic 11 0 5 8 measured Topic 11 0 88 14 extreme Topic 11 0 69 11 slow Topic 11 0 19 3 respect Topic 11 0 2 3 davis Topic 11 1 15 shaped Topic 11 0 6 9 verbal Topic 11 0 07 1 conclusion Topic 11 0 53 8 indexing Topic 11 0 27 4 likewise Topic 11 1 15 basketball Topic 11 1 15 player Topic 11 1 15 consistent Topic 11 0 79 11 perfect Topic 11 0 57 8 conception Topic 11 0 5 7 inference Topic 11 0 64 9 metaphor Topic 11 0 86 12 allowing Topic 11 0 36 5 presents Topic 11 0 29 4 physics Topic 11 1 14 famous Topic 11 0 5 7 commentary Topic 11 0 07 1 relates Topic 11 0 08 1 conclusions Topic 11 0 69 9 parameters Topic 11 0 31 4 correspondence Topic 11 0 23 3 named Topic 11 0 46 6 consensus Topic 11 0 38 5 voice Topic 11 0 33 4 explanation Topic 11 0 5 6 care Topic 11 0 25 3 evaluate Topic 11 0 42 5 intelligent Topic 11 1 12 iii Topic 11 0 67 8 tables Topic 11 0 75 9 mathematics Topic 11 0 08 1 tended Topic 11 0 08 1 constraints Topic 11 0 08 1 date Topic 11 0 55 6 observe Topic 11 0 09 1 measure Topic 11 0 91 10 consistency Topic 11 1 11 introduce Topic 11 1 11 capture Topic 11 1 11 hierarchy Topic 11 1 11 stated Topic 11 0 64 7 objective Topic 11 0 36 4 heuristic Topic 11 0 18 2 turns Topic 11 0 2 2 utility Topic 11 0 2 2 undergraduate Topic 11 0 1 1 revealed Topic 11 0 5 5 adopted Topic 11 0 1 1 charles Topic 11 0 4 4 verbs Topic 11 0 1 1 work Topic 12 0 22 110 practice Topic 12 0 01 3 world Topic 12 0 19 39 social Topic 12 0 46 79 web Topic 12 0 01 2 people Topic 12 0 87 143 year Topic 12 0 67 107 thing Topic 12 0 44 70 community Topic 12 0 44 68 real Topic 12 0 47 67 access Topic 12 0 28 37 specific Topic 12 0 01 1 point Topic 12 0 02 3 clear Topic 12 0 07 9 great Topic 12 0 09 10 word Topic 12 0 34 38 open Topic 12 0 29 32 idea Topic 12 0 43 46 funding Topic 12 0 65 69 change Topic 12 0 47 47 internet Topic 12 0 46 45 institution Topic 12 0 52 49 century Topic 12 0 08 7 future Topic 12 0 3 25 read Topic 12 0 65 55 good Topic 12 0 78 64 increase Topic 12 0 35 28 end Topic 12 0 48 38 interesting Topic 12 0 32 24 writing Topic 12 0 58 41 back Topic 12 0 23 16 production Topic 12 0 21 14 start Topic 12 0 26 17 topic Topic 12 0 22 13 today Topic 12 0 45 27 program Topic 12 0 37 22 programs Topic 12 0 59 34 established Topic 12 0 05 3 network Topic 12 1 56 changing Topic 12 0 54 28 technique Topic 12 0 27 14 fair Topic 12 0 31 16 close Topic 12 0 55 28 develop Topic 12 0 02 1 twitter Topic 12 0 47 23 colleague Topic 12 0 38 18 learn Topic 12 0 49 23 probab Topic 12 0 47 21 blog Topic 12 0 6 27 interested Topic 12 0 11 5 mind Topic 12 0 39 17 necessarily Topic 12 0 25 11 changed Topic 12 1 43 shared Topic 12 0 58 25 hard Topic 12 0 51 22 essential Topic 12 0 02 1 graduate Topic 12 0 45 18 music Topic 12 0 73 29 communities Topic 12 1 36 day Topic 12 0 65 22 figure Topic 12 0 09 3 big Topic 12 0 82 28 coming Topic 12 1 33 talk Topic 12 0 22 7 write Topic 12 0 94 29 brings Topic 12 0 4 12 million Topic 12 0 4 12 times Topic 12 1 29 values Topic 12 0 83 24 side Topic 12 0 71 20 mine Topic 12 1 28 grant Topic 12 0 89 24 hope Topic 12 0 52 14 heritage Topic 12 0 96 25 tend Topic 12 0 08 2 benefit Topic 12 0 23 6 preservation Topic 12 0 88 21 agency Topic 12 0 58 14 aware Topic 12 0 17 4 artist Topic 12 0 25 6 successful Topic 12 1 24 office Topic 12 0 48 11 fully Topic 12 0 57 13 mark Topic 12 0 09 2 bit Topic 12 1 22 movement Topic 12 0 05 1 force Topic 12 0 05 1 kirschenbaum Topic 12 0 1 2 lot Topic

    Original URL path: https://dhs.stanford.edu/comprehending-the-digital-humanities/data/ (2013-04-29)
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