Living with Machines

Project PI @RuthAhnert.bsky.social :

Lovely article from our publishers at @uolpress.bsky.social about bringing the Living With Machines book to life 'Through Experimental Publishing Workflows and Open Research Practices'. It's been so great working with Emma and Jamie on this! https://onlinelibrary.wiley.com/doi/10.1002/leap.2025

Congratulations to Josh Rhodes @joshrhodes.bsky.social‬ for his article on geo-coding addresses of 121 million + people in British censuses 1851-1911 now out with Historical Methods!

- map any census info (ages, occupations, birthplaces etc) by address

- link census to other spatial datasets

https://doi.org/10.1080/01615440.2024.2431491

Code: https://github.com/Living-with-machines/CensusGeocoder

#OpenAccess #DigitalHumanities #EconHist #hgis

More chapters from our final book are available for open peer review! https://read.uolpress.co.uk/projects/living-with-machines

Chapter 3: Beyond the Tracks
Chapter 5: Analysing the language of mechanisation in nineteenth-century British newspapers

Curious about the Living with Machines project? Got a few moments to watch some videos? The project has put together case studies on ten different aspects of our work.

On Collaboration
The digitisation process
Computational methods, infrastructure and skills
The Environmental Scan
The Language of Mechanisation
MapReader
Beyond the tracks
Census data
Crowdsourcing
Exhibition

Check out the playlist! https://www.youtube.com/playlist?list=PLuD_SqLtxSdWMYcu5YQDGqP9AGejg_cBb

Have you seen the video case studies coming out from our project?

How did the project look at rail infrastructure and the impact it had on people living near it? https://www.youtube.com/watch?v=HTgNLI-3lJA

How did the project use census data? https://www.youtube.com/watch?v=F7QT8QVs3Ic

#AI #MachineLearning #collaboration #DataScience #history #DigitalHistory #C19th

New blog post! 'Public domain newspaper titles in Living with Machines' https://livingwithmachines.ac.uk/public-domain-newspaper-titles-in-living-with-machines/

Want to have a play with automatically-transcribed text from those titles? https://bl.iro.bl.uk/collections/9a6a4cdd-2bfe-47bb-8c14-c0a5d100501f?locale=en

Watch our team members @mia@hcommons.social and Kaspar Beelen on 'Scaling up historical practice with digital machines'

https://www.youtube.com/watch?v=Fv5eiwk4KQ0

Forschungskolloquiums "Digital History" an der Humboldt-Universität zu Berlin. Das interdisziplinär ausgerichtete Projekt untersuchte mithilfe von Machine-Learning-Ansätzen den Einfluss der industrielle Revolution und insbesondere der Technologien auf das menschliche Leben anhand verschiedener Quellenkorpora, wie digitalisierten Zeitungen, Volkszählungen oder Karten.

Folk musicians describe the process of bringing songs about the industrial revolution back to life for our exhibition in 2022: 'It’s amazing how you find yourself singing these songs from a hundred years ago and realising that the things they describe are still happening.'

https://blogs.bl.uk/living-knowledge/2023/08/performing-folk-music-found-in-the-archives-user-stories.html

@flickrfdn@glammr.us I totally wouldn't have got that!

Delighted that one of our exhibition photos made it onto Flickr Explore as part of Flickr Commons 16th birthday celebrations!

This factory clocking-in clock was part of a section on how mechanisation changed our sense of time

Photo credit David Lindsay

https://www.flickr.com/photos/britishlibrary/52816986104

https://www.flickr.com/explore/2024/01/15

Curious about how and why we collaborated on Living with Machines? Watch our new video, 'Living with Machines: On Collaboration'!

https://www.youtube.com/watch?v=A__ZJgw4_00&list=PLuD_SqLtxSdWMYcu5YQDGqP9AGejg_cBb

#DH #DigitalHumanities #DigitalHistory #collaboration #DataScience #AI #MachineLearning #Humanities #ComputationalHumanities

Our MapReader software library for working with historical maps has won a prize! It's an honour to have this collaborative work recognized by the AHA (@AHAHistorians@historians.social)

See our documentation: https://living-with-machines.github.io/MapReader/

Hats off to @kmcdono@mastodonapp.uk @danielwilson@masto.ai and all the @LivingWithMachines@zirk.us team!