Jekyll2020-11-08T15:47:38+00:00https://peetertinits.github.io/feed.xmlData and tidbitsdata, history, science and humanitiesPeeter Tinitspeeter.tinits@gmail.comUsing Estonian Fiction texts to learn simple text analysis in R 22020-11-07T00:00:00+00:002020-11-07T00:00:00+00:00https://peetertinits.github.io/teaching/Workshop-Text-Mining-Estonian-Fiction<h1 id="using-estonian-fiction-texts-to-learn-simple-text-analysis-in-r-2">Using Estonian Fiction texts to learn simple text analysis in R 2</h1>
<p>As part of the studies in Digital Methods and Contemporary datasets we learned about using R and Tidyverse to do simple text processing, in this case on longer texts. We looked at Tõde ja õigus, a canonical text in Estonia by A.H. Tammsaare and used tidytext to count and locate tokens, find ngrams and content words, and distinguishing keywords. We used a set of Estonian fiction texts from an <a href="https://datadoi.ee/handle/33/76">open collection</a> to study word usage across different works.</p>
<p>The materials are posted online on <a href="https://github.com/peeter-t2/TM_SV_TartuFall2020">github</a>. Some graphs made:</p>
<h2 id="locations-of-popular-5-grams-in-tõde-ja-õigus-1-kd">Locations of popular 5-grams in “Tõde ja õigus. 1 kd.”</h2>
<p><img src="https://peetertinits.github.io/assets/images/viisgrammid.png" alt="Locations of popular 5-grams in "Tõde ja õigus. 1 kd."" />
Five-grams were calculated with unnest tokens</p>
<h2 id="distinguishing-keywords-of-chapters-1-10-in-tõde-ja-õigus-1-kd">Distinguishing keywords of chapters 1-10 in “Tõde ja õigus. 1 kd.”</h2>
<p><img src="https://peetertinits.github.io/assets/images/tammsaare1_ptk1-10_eristav.png" alt="Distinguishing keywords of chapters 1-10 in "Tõde ja õigus. 1 kd" />
Words were lowercased, proper names kept in. Comparison made across all 39 chapters.</p>
<h2 id="frequency-of-forest-land-city-in-estonian-fiction-books">Frequency of forest, land, city in Estonian Fiction books.</h2>
<p><img src="https://peetertinits.github.io/assets/images/mets_maa_linn.png" alt="Frequency of forest, land, city in Estonian Fiction books." /></p>
<p>Frequency of forest, land, and city related words was calculated as a proportion of tokens. Words beginning with ^mets, ^maa, ^linn were used.</p>Peeter Tinitspeeter.tinits@gmail.comUsing Estonian Fiction texts to learn simple text analysis in R 2Workshop: Using National Library of Estonia text collections2020-11-06T00:00:00+00:002020-11-06T00:00:00+00:00https://peetertinits.github.io/workshop/Workshop-Using-National-Library-of-Estonia-collections<h1 id="workshop-using-national-library-of-estonia-text-collections">Workshop: Using National Library of Estonia text collections</h1>
<p>I gave a workshop in the Seminar of Digital Archives on the approach we are building at the National Library of Estonia to access text collections. The event was preceded by a <a href="https://www.nlib.ee/et/digihumanitaaria-ja-digiarhiiv-2020#nordplus">day of talks</a> at the Digital Humanities and Digital Archives with interesting talks on this topic.</p>
<ul>
<li>11.00-12.00 Data journey: insights and experiences - Mahendra Mahey (British Library) <a href="https://twitter.com/yrgsupp/status/1323918075327111168">some twitter screenshots</a>, <a href="https://twitter.com/AndresKarjus/status/1323921173944684545">some more twitter screenshots</a></li>
<li>12.00-13.00 GLAM Workbench and Jupyter notebooks to explore digital collections - Tim Sherrat (University of Canberra) <a href="https://twitter.com/yrgsupp/status/1323932961318854656">some twitter screenshots</a></li>
<li>13.00-14.00 LUNCH</li>
<li>14.00-15.00 GLAMalytics for GLAMerous application - Max Schich (Tallinn University) <a href="https://twitter.com/yrgsupp/status/1323961043325014019">some twitter screenshots</a></li>
<li>15.00-16.15 How to put culture on a map? (hands-on workshop) - Evelyn Uuemaa (University of Tartu) <a href="https://twitter.com/yrgsupp/status/1323981498958204928">some twitter screenshots</a></li>
<li>16.15-16.30 COFFEE BREAK</li>
<li>16.30-17.30 Working with maps at scale using Computer Vision and Jupyter notebooks (hands-on workshop) - Daniel van Strien (British Library) <a href="https://twitter.com/yrgsupp/status/1324001057035427841">some twitter screenshots</a></li>
</ul>
<p>The workflow used at the moment relies on Jupyter Notebooks opened on the same servers as the text files, and a few custom R commands to retreive the texts in a clean format. The custom R commands are presented as a package on <a href="https://github.com/peeter-t2/digar.txts">github</a>. The Jupyter Notebooks work with a username on the servers, we used temporary usernames at the workshop, more permanent usernames can be got when asking us.</p>
<p><img src="https://peetertinits.github.io/assets/images/jupyter1.png" alt="Jypiter access example 1" />
<img src="https://peetertinits.github.io/assets/images/jupyter2.png" alt="Jypiter access example 2" />
<img src="https://peetertinits.github.io/assets/images/jupyter3.png" alt="Jypiter access example 3" /></p>
<p>The first tests look promising, texts can be retrieved fairly quickly and analysed with common tools.</p>
<p>The workshop materials were posted on <a href="https://hackmd.io/OotxTpFhRbCeSylT4RbGVw?view">hackmd</a>. Some graphs made:</p>
<h2 id="georg-lurich-vs-konrad-mägi---distinguishing-words">Georg Lurich vs Konrad Mägi - distinguishing words</h2>
<p><img src="https://peetertinits.github.io/assets/images/lurich_magi.png" alt="Georg Lurich vs Konrad Mägi - distinguishing words" />
The distinguishing words between texts containing Georg Lurich and Konrad Mägi 1886-1940.</p>
<h2 id="steam-electricity-horses-in-estonia-1886-1940">Steam, Electricity, Horses in Estonia 1886-1940</h2>
<p><img src="https://peetertinits.github.io/assets/images/aur_elekter_hobu.png" alt="Productive years of top artists" />
The proportion of texts in Postimees 1886-1940 containing words related to steam, electricity, and horses.</p>
<h2 id="electricity-and-appliances-in-estonia-1886-1940">Electricity and Appliances in Estonia 1886-1940</h2>
<p><img src="https://peetertinits.github.io/assets/images/elektrigraafik1.png" alt="Sentiments in Aretha Franklin's songs" />
Some selected examples of words containing “elekt” in Estonian and their distribution over time.</p>
<blockquote>
<p>Sessioon A: RR digitaalarhiivis DIGAR olevate tekstide kasutamine (hands-on workshop)
Mida saab teha digitaalsete tekstidega? Ligipääs Digari Eesti artiklitele avatud koodi kaudu. Lihtsam tekstitöötlus ja selle tulemused R-is.
Kasutame RStudiot, juhend selle paigaldamiseks saadetakse registreerunutele.
Töötuba ei eelda varasemaid programmeerimisoskusi. Sellest hoolimata kirjutame aga ise töötoas koodi.</p>
</blockquote>Peeter Tinitspeeter.tinits@gmail.comWorkshop: Using National Library of Estonia text collectionsWorkshop: Intro to Text Mining in R with Estonian Popsongs2020-10-08T00:00:00+00:002020-10-08T00:00:00+00:00https://peetertinits.github.io/workshop/Materials-Intro-Text-Mining-Estonian-Popsongs0<h1 id="materials-intro-to-text-mining-in-r-with-estonian-popsongs">Materials: Intro to Text Mining in R with Estonian Popsongs</h1>
<p>As part of the studies in Digital Methods and Contemporary datasets we learned about using R and Tidyverse to do simple text processing, on the example of Estonian pop songs 1994-2018. The dataset is posted on <a href="https://github.com/peeter-t2/EestiTop40_laulus6nad">github</a>.</p>
<p>The materials are posted online on <a href="https://github.com/peeter-t2/TM_SV_TartuFall2020">github</a>. Some graphs made:</p>
<h2 id="rank-frequency-distribution-of-pop-songs-and-fiction-corpus">Rank-frequency distribution of pop songs and fiction corpus</h2>
<p><img src="https://peetertinits.github.io/assets/images/ilukirj2.png" alt="Rank-frequency distribution of pop songs and fiction corpus" />
Rank-frequency distribution of pop songs and fiction corpus. <a href="https://datadoi.ee/handle/33/41">Estonian newer fiction ngrams</a> was used for comparison.</p>
<h2 id="the-locations-of-la-and-na-in-estonian-popular-songs-1994-2018">The locations of ‘la’ and ‘na’ in Estonian popular songs 1994-2018</h2>
<p><img src="https://peetertinits.github.io/assets/images/lana2.png" alt="The locations of 'la' and 'na' in Estonian popular songs 1994-2018" />
The locations of ‘la’ and ‘na’ in Estonian popular songs 1994-2018</p>
<h2 id="song-mina-ka-by-reket">Song ‘Mina ka’ by Reket</h2>
<p><img src="https://peetertinits.github.io/assets/images/mina_ka_reket2.png" alt="Song 'Mina ka' by Reket" />
The song ‘Mina ka’ by Reket, the x axis shows location in time, y axis the number of repetitions.</p>Peeter Tinitspeeter.tinits@gmail.comMaterials: Intro to Text Mining in R with Estonian PopsongsText mining in R and reproducible research2020-08-28T00:00:00+00:002020-08-28T00:00:00+00:00https://peetertinits.github.io/workshop/Workshop-Introduction_to_R_and_Tidyverse<h1 id="text-mining-in-r-and-reproducible-research">Text mining in R and reproducible research</h1>
<p>As part of the summer school <a href="https://digitalmethods.ut.ee/">Digital Methods in Humanities and Social Sciences</a> in the University of Tartu, I gave a workshop on <a href="https://github.com/peeter-t2/IntroR_DIGMET2020">Introduction to R and Tidyverse</a>. The workshop aimed to give the basics of tidyverse in R and how to use it for data manipulation.</p>
<p>The materials are posted online on <a href="https://github.com/peeter-t2/IntroR_DIGMET2020">github</a>. Some graphs made:</p>Peeter Tinitspeeter.tinits@gmail.comText mining in R and reproducible researchMaterials: Intro to Text Mining in R with Estonian Popsongs2020-04-15T00:00:00+00:002020-04-15T00:00:00+00:00https://peetertinits.github.io/workshop/Materials-Intro-Text-Mining-Estonian-Popsongs<h1 id="materials-intro-to-text-mining-in-r-with-estonian-popsongs">Materials: Intro to Text Mining in R with Estonian Popsongs</h1>
<p>As part of the coursework for “Analysing large digital text collections” at the University of Tartu, I compiled an online learning guide to teach the basics of R and simple text mining on the example of Estonian pop songs 1994-2018. The dataset is posted on <a href="https://github.com/peeter-t2/EestiTop40_laulus6nad">github</a>.</p>
<p>The materials themselves are published as a <a href="https://peetertinits.github.io/gitbooks/tekstid_R_2020/">gitbook</a>.</p>
<h2 id="rank-frequency-distribution-of-pop-songs-and-fiction-corpus">Rank-frequency distribution of pop songs and fiction corpus</h2>
<p><img src="https://peetertinits.github.io/assets/images/ilukirj2.png" alt="Rank-frequency distribution of pop songs and fiction corpus" />
Rank-frequency distribution of pop songs and fiction corpus. <a href="https://datadoi.ee/handle/33/41">Estonian newer fiction ngrams</a> was used for comparison.</p>
<h2 id="the-locations-of-la-and-na-in-estonian-popular-songs-1994-2018">The locations of ‘la’ and ‘na’ in Estonian popular songs 1994-2018</h2>
<p><img src="https://peetertinits.github.io/assets/images/lana2.png" alt="The locations of 'la' and 'na' in Estonian popular songs 1994-2018" />
The locations of ‘la’ and ‘na’ in Estonian popular songs 1994-2018</p>
<h2 id="song-mina-ka-by-reket">Song ‘Mina ka’ by Reket</h2>
<p><img src="https://peetertinits.github.io/assets/images/mina_ka_reket2.png" alt="Song 'Mina ka' by Reket" />
The song ‘Mina ka’ by Reket, the x axis shows location in time, y axis the number of repetitions.</p>Peeter Tinitspeeter.tinits@gmail.comMaterials: Intro to Text Mining in R with Estonian PopsongsText mining in R and reproducible research2019-08-28T00:00:00+00:002019-08-28T00:00:00+00:00https://peetertinits.github.io/workshop/Workshop-Text-Mining-and-Reproducible-Analyses0<h1 id="text-mining-in-r-and-reproducible-research">Text mining in R and reproducible research</h1>
<p>As part of the summer school <a href="https://digitalmethods.ut.ee/2019">Digital Methods in Humanities and Social Sciences</a> in the University of Tartu, I gave a workshop on <a href="https://github.com/peeter-t2/TM-TartuSummer2019">Text mining in R and reproducible research</a>. The workshop aimed to give the basics of tidyverse in R and how to use it, and then give an intro to simple text mining techniques. We used two datasets as examples: 1) the <a href="https://en.wikipedia.org/wiki/Billboard_Hot_100">Billboard Hot 100</a> data set <a href="https://github.com/walkerkq/musiclyrics">shared by walkerkq</a>, 2) The TED talks transcripts made into a <a href="https://www.kaggle.com/goweiting/ted-talks-transcript">dataset</a> by Wei T.</p>
<p>The materials are posted online on <a href="https://github.com/peeter-t2/TM-TartuSummer2019">github</a>. Some graphs made:</p>
<h2 id="productive-years-of-top-artists">Productive years of top artists</h2>
<p><img src="https://peetertinits.github.io/assets/images/artist_productive_years.png" alt="Productive years of top artists" /></p>
<p>Line drawn from first year in the billboards to the last year in the billboards.</p>
<h2 id="sentiments-in-aretha-franklins-songs">Sentiments in Aretha Franklin’s songs</h2>
<p><img src="https://peetertinits.github.io/assets/images/franklin_sents.png" alt="Sentiments in Aretha Franklin's songs" /></p>
<p>Done using the Bing sentiment lexicon</p>
<h2 id="the-median-ted-talk">The median TED talk</h2>
<p><img src="https://peetertinits.github.io/assets/images/median ted talk.png" alt="The median TED talk" /></p>
<p>The median location for each word was calculated, and for each 10% quantile, top frequent words were plotted.</p>
<blockquote>
<p>The increasing availability of textual data gives new opportunities for humanities and social sciences that we are only beginning to explore. The nature of the data can vary quite a bit ranging from old digitized newspapers to Twitter or forum posts that are born and live digitally. Provided that we can access the data, they allow quite diverse questions to be answered.</p>
</blockquote>
<blockquote>
<p>In this 5-hour tutorial, we will learn the basics of text mining in R following the tidyverse principles. R is a computing environment for statistical analysis and graphics that allows analyses performed to be easily reproduced later and by other researchers. Tidyverse is an opinionated set of packages that aim to make using R easy to read and learn.</p>
</blockquote>
<blockquote>
<p>Using reproducible analyses allows humanities and social sciences to increase transparency in the research process, make it easier to collaborate, and and easier to build on earlier research. Movements among researchers have shown the benefits of Open Science and Open Research Practices for our scientific knowledge about the world.</p>
</blockquote>
<blockquote>
<p>What exactly: We will use tidytext and ggplot2 packages to make simple visualizations of texts. We will compare word frequencies, do simple sentiment analysis, and find keywords in texts. We will explore these on novels, dramas, and/or song lyrics in English. Exploring your own texts is a possibility. The tutorial aims to give the basic techniques that would help you get started on research project of your own.</p>
</blockquote>
<blockquote>
<p>Workshop takes place in three sessions in Lossi 3-406:</p>
<ul>
<li><strong>10:45 – 12:45 Introduction. Basic R, tidyverse & ggplot2.</strong></li>
<li>12:45 – 14:00 Lunch break</li>
<li><strong>14:00 – 15:30 Text processing in R. Words in text, keywords, sentiments.</strong></li>
<li>15:30 – 16:00 Coffee break</li>
<li><strong>16:00 – 17:30 Text processing in R. Another dataset. Reproducible markdown.</strong></li>
</ul>
</blockquote>Peeter Tinitspeeter.tinits@gmail.comText mining in R and reproducible researchDH Helsinki Hackathon is a rollercoaster2019-05-18T00:00:00+00:002019-05-18T00:00:00+00:00https://peetertinits.github.io/hackathon/DH-Helsinki-Hackathon-is-a-rollercoaster<p><em>This was posted as part of a <a href="https://medium.com/@GenreAndStyle">series of blogposts by our team</a> during the Digital Humanities Hackathon 2019 in Helsinki. Original post location <a href="https://medium.com/@GenreAndStyle/dh-helsinki-hackathon-is-a-rollercoaster-438e9f87235c">here</a>. I heartily recommend DHH as an event to attend!</em></p>
<h1 id="dh-helsinki-hackathon-is-a-rollercoaster">DH Helsinki Hackathon is a rollercoaster</h1>
<p>A quick update on the Genre and Style group in the DHH19. The discussion sessions yesterday ran late, so this post arrives with a small delay.</p>
<p>Day 3 of the hackathon (or day 2 of the blog) has been a great example of why these gatherings can lead to unexpected results — we started the day with one question in mind, but along the way decided on something quite different. In our group we are trying to use digital humanities tools to study the variations in genre and style in 18th century digitized English texts.</p>
<p>On Friday, we had to come up with a formulated research question and a plan for our research based on this. A well-formulated plan would naturally keep us in focus, and help us do solid and reasonable work during the week.</p>
<p><img src="https://miro.medium.com/max/450/1*BeQLOU5X3KiTEHdMfSForA.jpeg" alt="" /><br />
<em>Our task for Friday</em></p>
<p>This is not of course how our team works! :) We arrived this morning diligently — at 9.15 AM — to study the genres in relation to gender. However by 10.15 we had found out that out of all the texts available to us, a very small proportion was written by women (less than 5%). This would make it quite difficult to compare with other texts.</p>
<p>Additionally, we have been made aware that the metadata on the texts is pretty simple and unreliable, and the OCR quality of the texts makes it difficult to do many types of comparisons (although many analyses work surprisingly well even for bad quality texts).</p>
<p>So, we started thinking once again, how could we compare these texts and how could we get to the genre within these texts. Now we already knew each other a bit, what we were interested in, and what we could do, and could more comfortably discuss an interesting topic to study.</p>
<p>So, by 11.15 we came up with a different topic — what if we could look at 18th century texts as a type of network, with similar texts connected to each other. Texts on the same topics would mention the same people and would be discovered by these means. In this case, we could talk about genres independently of the metadata that had uncertain quality and were marked up quite unevenly.</p>
<p><img src="https://miro.medium.com/max/226/1*kpsofWLRQifHZ4mAxxM-Ag.png" alt="" /><br />
<em>Named Entity Recognition finds entities from text through various heuristics and algorithms.</em></p>
<p>By 12.15 we were testing Named-Entity-Recognizers on the old texts, and by 13.15 we had almost forgotten to eat lunch because of it. Eventually we came up with a plan that seemed to make sense from a humanities perspective, seemed to be feasible technologically, and most importantly seemed within reach of our group and interesting enough to try to do.</p>
<p>So, by 14.15, we had come up with a research strategy and ran initial tests, and by 15.15, we were ready with our slides for a presentation. We got some tough (but necessary) questions from the instructors and the audience, and got a good way to move forward. Now, unless basic steps of the plan fail, we would each have something interesting to do with the data.</p>
<p><img src="https://miro.medium.com/max/653/1*QvPVOUIEl4EweZZ4L0mxaw.png" alt="" /><br />
<em>Our research question.</em></p>
<p>We planned to have a working meeting after the presentations at 16.15, but walking through the outdoors even briefly — it was 18 degrees of warmth outside (i.e. feels like 30!), this turned into a meeting in the park, which gradually moved into more informal discussions (see illustration below).</p>
<p><img src="https://miro.medium.com/max/800/1*AWBdjjk_SaEAxIjZmu-A_Q.jpeg" alt="" /><br />
<em>The overtime working team avoiding being captured on the photo.</em></p>
<p>So, within just a few hours, we explored a lot of data, came up with another research plan, formulated it, and made plans for next week. Having gotten to know each other over some time already, discussing also plans and topics has become easier and easier — also looks like we should get some very interesting results!</p>
<p>So, turbulent times in the hackathon. Catch up with us here next week* with more info!</p>
<p><img src="https://miro.medium.com/max/800/0*e-35ZkRVFTvl9ALi.jpg" alt="" /><br />
<em>Kirnu roller coaster in Linnanmäki amusement park in Helsinki</em></p>
<p>*- Technically, even this post is cheating, since we have been given strict instructions not to do any work during the weekend. However, as we prepare our minds for the week ahead, it’s good give a quick overview of where we got.</p>
<p><em>This blog post was written by Peeter Tinits, a last year PhD student at Tallinn University and a digital humanities grunt in University of Tartu, in Estonia. Attending the hackathon from abroad for the learnings and the funs.</em></p>Peeter Tinitspeeter.tinits@gmail.comThis was posted as part of a series of blogposts by our team during the Digital Humanities Hackathon 2019 in Helsinki. Original post location here. I heartily recommend DHH as an event to attend!Workshop: Introduction to text mining in R (tidyverse)2019-04-25T00:00:00+00:002019-04-25T00:00:00+00:00https://peetertinits.github.io/workshop/Workshop-Text-Mining-with-Pop-Songs<h1 id="introduction-to-text-mining-in-r-tidyverse">Introduction to text mining in R (tidyverse)</h1>
<p>I visited the RTU Riga Technical University to give introductory seminars on text mining with R as part of the “Introduction to Digital Humanities course”. We used the <a href="https://en.wikipedia.org/wiki/Billboard_Hot_100">Billboard Hot 100</a> data set <a href="https://github.com/walkerkq/musiclyrics">shared by walkerkq</a>.</p>
<p>The materials are posted online on <a href="https://github.com/peeter-t2/TM-RigaApr2019">github</a>. Some graphs made:</p>Peeter Tinitspeeter.tinits@gmail.comIntroduction to text mining in R (tidyverse)Conference: Applications in Cultural Evolution, June 6-8, Tartu2018-06-10T00:00:00+00:002018-06-10T00:00:00+00:00https://peetertinits.github.io/cfp/conference-applications-to-cult-evol<h1 id="conference-applications-in-cultural-evolution-june-6-8-tartu">Conference: Applications in Cultural Evolution, June 6-8, Tartu</h1>
<p>With Oleg Sobchuk, we organized the conference “<a href="https://cultevol.ut.ee/">Applications in Cultural Evolution: Arts, Languages, Technologies</a>” on <strong>June 6-8</strong> in <strong>Tartu, Estonia</strong>. The summary of the event is visible <a href="https://cultevol.ut.ee/">here</a>.</p>
<blockquote>
<p>Applications in Cultural Evolution: Arts, Languages, Technologies is a 4-day cultural evolution meeting planned to take place in Tartu, Estonia, in June 5-8. On June 5, there are introductory workshops from the plenary speakers. June 6-8, the conference itself will take place.</p>
</blockquote>
<blockquote>
<p>The focus of the conference is on applications of cultural evolution in various domains, their capabilities and comparisons. Contributions related to this in form of case studies, generalizations or meta- and methodological generalizations are welcome. Primarily, we aim to provide a venue for discussions on these matters can be developed in organized sessions and informal settings. Join us!</p>
</blockquote>
<blockquote>
<p>Conference is over. Thanks for participating!</p>
</blockquote>
<p>Keynote lectures are posted online:</p>
<ul>
<li>Jamie Tehrani (Durham University) - <a href="https://www.uttv.ee/naita?id=27164">Languages, Genes and Folktales: the Plot Thickens</a></li>
<li>Nathalie Gontier (University of Lisbon) <a href="https://www.uttv.ee/naita?id=27165">Cultural Evolution and Explanatory Pluralism: The Applied Evolutionary Epistemological Approach</a></li>
<li>Kristian Tylén (Aarhus University - <a href="https://www.uttv.ee/naita?id=27166">The cumulative cultural evolution of prehistoric symbolic behavior</a></li>
</ul>
<p>See also:</p>
<ul>
<li><a href="https://tinyurl.com/twitterTartuCE">Twitter timeline</a></li>
<li><a href="https://cultevol.ut.ee/schedule2">Detailed schedule</a></li>
<li><a href="https://cultevol.ut.ee/workshops">Workshop contents</a></li>
<li><a href="https://cultevol.ut.ee/files/abstract_book_applications_in_cultural_evolution.pdf">Book of abstracts</a></li>
<li><a href="https://www.nature.com/collections/feibciaebg">Palgrave Communications special issue on Cultural Evolution</a> - features some of the papers and authors from the conference.</li>
</ul>Peeter Tinitspeeter.tinits@gmail.comConference: Applications in Cultural Evolution, June 6-8, TartuCfP: Applications in Cultural Evolution, June 6-8, Tartu2018-01-11T00:00:00+00:002018-01-11T00:00:00+00:00https://peetertinits.github.io/cfp/cfp-applications-to-cult-evol<p><em>Guest post on the <a href="http://www.replicatedtypo.com/">Replicated Typo</a> by Peeter Tinits and Oleg Sobchuk. Originally posted <a href="http://www.replicatedtypo.com/cfp-applications-in-cultural-evolution-june-6-8-tartu/11875.html">here</a></em>.</p>
<h1 id="cfp-applications-in-cultural-evolution-june-6-8-tartu">CfP: Applications in Cultural Evolution, June 6-8, Tartu</h1>
<p>As mentioned in <a href="http://www.replicatedtypo.com/">this blog</a> before, evolutionary thinking can help the study of various cultural practices, not just language. The perspective of cultural evolution is currently seeing an interesting case of global growth and coordination – the widely featured founding of the <a href="https://culturalevolutionsociety.org/">Cultural Evolution Society</a> (also on <a href="http://www.replicatedtypo.com/become-a-founding-member-of-the-society-for-the-study-of-cultural-evolution/10874.html">replicatedtypo</a>), the recent <a href="https://www.shh.mpg.de/cescjena2017">inaugural conference</a> and follow-ups are bringing a diverse set of researchers around the same table. If this has gone past you unnoticed – there’s nice <a href="https://culturalevolutionsociety.org/story/Resources.html">resources</a>gathered on the society website.</p>
<p>Evolutionary thinking seems useful for various purposes. However does it work the same everywhere, and can research progress in one domain be easily carried over to another?</p>
<p>To make better sense of it, we’re organizing a <strong>small conference</strong> to discuss the ways that evolutionary thinking can be best applied in different domains. The event “<a href="https://cultevol.ut.ee/">Applications in Cultural Evolution: Arts, Languages, Technologies</a>” is to take place in <strong>June 6-8</strong> in <strong>Tartu, Estonia</strong>. Pleanary speakers include:</p>
<ul>
<li><a href="http://cfcul.fc.ul.pt/equipa/ngontier.php">Nathalie Gontier</a> (University of Lisbon)</li>
<li><a href="https://www.dur.ac.uk/anthropology/staff/academic/?id=5388">Jamie Tehrani</a> (Durham University)</li>
<li><a href="http://pure.au.dk/portal/en/persons/kristian-tylen(9950d8bc-e1cd-400a-a547-359cd0b07157).html">Kristian Tylén</a> (Aarhus University)</li>
</ul>
<p>We invite contributions from cultural evolution researchers of various persuasions and interests to talk about their work and how the evolutionary models help with that. <strong>Deadline for abstracts on Feb 14</strong>.</p>
<p>Discussion of individual contributions will hopefully lead to a better understanding of commonalities and differences in how cultural evolution is applied in different areas, and help build an understanding of how to most productively use evolutionary thinking – what are the prospects and limitations. We aim to allow for building a common ground through plenty of space and opportunities for formal and informal discussion on site.</p>
<p>Both <strong>case studies</strong> and <strong>general perspectives</strong> welcome. In addition to original research we encourage participants to think of the following questions:</p>
<p>– What do you get out of cultural evolution research?</p>
<p>– How should we best apply evolutionary thinking to culture?</p>
<p>– What matters when we apply this to different domains or timescales?</p>
<p><strong>Deadline for abstracts:</strong> February 14, 2018</p>
<p><strong>Event dates:</strong> June 6-8</p>
<p><strong>Location:</strong> Tartu University, Estonia</p>
<p>Full call for papers and information on the <a href="https://cultevol.ut.ee/call-papers">website</a>. Also available as <a href="https://cultevol.ut.ee/sites/default/files/cultevol/files/cultevomeet-cfp.pdf">PDF</a>.</p>Peeter Tinitspeeter.tinits@gmail.comGuest post on the Replicated Typo by Peeter Tinits and Oleg Sobchuk. Originally posted here.