I was invited to give a talk on '' for the School of Advanced Study, University of London 'Social Scholar' seminar series in October 2015.
Talk: Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing, KCL
I gave a presentation on 'Choosy crowds and the machine age: challenges for the future of humanities crowdsourcing' at Kings College London for Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century (9th – 10th). This lead to a co-authored publication, Citizen Humanities Comes of Age: Crowdsourcing for the Humanities in the 21st Century Event Summary.
Some of the points I raised are discussed in 'How an ecosystem of machine learning and crowdsourcing could help you' and 'Helping us fly? Machine learning and crowdsourcing'.
HILT Summer School 2015: 'Crowdsourcing Cultural Heritage'
Resources for the course on Crowdsourcing Cultural Heritage at HILT 2015 I'm teaching with Ben Brumfield.
Course Google Doc for collaborative note-taking, links, etc.
Flickr Group for HILT 2015 Crowdsourcing photos
Mia's storify of the week and the class presentation for the HILT Show and Tell.
Projects made in the class
- Ryan's Letters (Nancy Brown)
- College Radio Archive (Elizabeth Hansen)
- Bernier Archive (Elaine Paul)
- Ancient Aztecs (Virginia Cole)
- Tagging the Caribbean (Krystal Thomas)
- I Love Your Funny Face! (Nancy Stephenson)
- Blast from the Past (Wendy Johnson)
- Teach Robots to Read (Jim Salmons & Timlynn Babitsky)
- Loray Digital Archive (Julie Davis)
- NovelMapper (Cathy DeRose)
Well done @cmderose_wisc @nebrown63 @ElizHansen @ESPaul @vac11 @kmthomas06 @WendyJ1226 @HistorianOnFire @Jim_Salmons @TimlynnBabitsky + Nancy!
Monday: overview, speed dating
HILT Crowdsourcing Slides and Exercises for Monday
Session 2: links to find a project you love! For non-English language projects, try Crowdsourcing the world's heritage.
Prompts for thinking about projects:
- How clear was the purpose of the site? How well was it reflected in the 'call to action' and other text?
- How easy was it to get started?
- Were the steps to complete the task clear?
- How enjoyable was the task?
- Did the reward (if any) feel appropriate?
- Looking at the site overall, does the project appear to be effective?
- What is the input content? What is the output content?
- What validation methods appear to have been used?
- Who is the probable audience and what motivates them to participate?
- How does the project let participants know they're making a difference?
- Does the site support communication between participants?
- How was the site marketed to potential participants?
- Did the site anticipate your questions about the tasks?
HILT Crowdsourcing Slides and Exercises Tuesday
http://tinyurl.com/EminentScotsmen
HILT Crowdsourcing Slides Wednesday
HILT Crowdsourcing Slides Thursday
HILT Crowdsourcing Slides Friday
Continue reading "HILT Summer School 2015: 'Crowdsourcing Cultural Heritage'"
Talk: 'Small ontologies, loosely joined': linked open data for the First World War, DH2015
I presented a paper, 'Small ontologies, loosely joined': linked open data for the First World War, in a panel on Linked Open Data and the First World War at Digital Humanities 2015 (based on my experiences as a Fellow at Trinity College Dublin working on histories of World War One with the CENDARI project).
Workshop: Information Visualisation, CHASE Arts and Humanities in the Digital Age
I've been asked to give a workshop on Information Visualisation for the CHASE Arts and Humanities in the Digital Age training programme in June 2015.
The workshop will introduce students to the use of visualisations for understanding, analysing and presenting large-scale datasets in the Humanities, enabling scholars to ask increasingly complex research questions.
Slides, sample data and instructions for exercises are downloadable here: CHASE InfoVis Handouts 2015.
Links for the various exercises are collected below for ease of access.
Exercise 1: Exploring network visualisations
- http://fredbenenson.com/2012/12/05/the-data-behind-my-ideal-bookshelf/
- http://textexture.com/index.php?text_id=603
- http://kindred.stanford.edu/
- http://hci.stanford.edu/jheer/files/zoo/ex/networks/force.html
- http://www.moma.org/interactives/exhibitions/2012/inventingabstraction/?page=connections
Exercise 2: Comparing N-gram tools
Books
Newspapers
- http://arxiv.culturomics.org/ChronAm/
- http://dhistory.org/querypic/create/ (if that doesn't work, use http://dhistory.webfactional.com/querypic/)
Exercise 3: Trying entity recognition
- http://nlp.stanford.edu:8080/ner/
- More: http://nlp.stanford.edu:8080/corenlp/process
- An alternative demo site is TextRazor http://www.textrazor.com/demo
Exercise 4: Exploring scholarly data visualisations
- http://www.americanpast.org/emancipation/
- http://www.stanford.edu/group/toolingup/rplviz/rplviz.swf
- http://gap.alexandriaarchive.org/gapvis/index.html#index
- http://digitalharlem.org/
- http://orbis.stanford.edu/
- http://dp.la/
- http://tracemedia.co.uk/lostchange/
- http://benschmidt.org/poli/2015-SOTU
Exercise 5: create a chart using Google Fusion Tables
Google Fusion Tables: https://www.google.com/fusiontables/data?dsrcid=implicit
An Excel version of this exercise is available at https://www.openobjects.org.uk/2015/03/creating-simple-graphs-with-excels-pivot-tables-and-tates-artist-data/
Exercise 6: Geocoding data and creating a map using Google Fusion Tables
Google Fusion Tables: https://www.google.com/fusiontables/data?dsrcid=implicit
Exercise 7: Applying data visualisation to your own work
Explore more visualisations:
- Further examples: http://scholarlyvision.tumblr.com/
- More reading: https://www.miaridge.com/resources-for-data-visualisation-for-analysis-in-scholarly-research/
Sketch ideas for visualisations:
- http://www.dear-data.com/
- http://annkemery.com/dataviz-design-process/
- http://extremepresentation.com/design/7-charts/
Try visualising data in different tools:
- http://viewshare.org
- http://voyeurtools.org
- https://plot.ly
- http://raw.densitydesign.org
- http://palladio.designhumanities.org
- http://public.tableau.com
Try visualising existing data