The Afterlife of Data (University of Chicago Press)
Friday, 31 May 2024

Sooner than we think, the dead will outnumber the living on Facebook. In this thought-provoking book, subtitled "What Happens to Your Information When You Die and Why You Should Care", Carl Öhman explores the increasingly urgent question of what we should do with all this data and whether our digital afterlives are really our own—and if not, who should have the right to decide what happens to our data.

<ASIN:0226828220 >

In the next thirty years alone, about two billion people will die. Whoever ends up controlling their archives will also effectively control future access to our collective digital past. Öhman argues we need a collective reshaping of our economic and technical systems to reflect more than just the monetary value of digital remains.

Author: Carl Öhman
Publisher: University of Chicago Press
Date: May 2024
Pages: 200
ISBN: 978-0226828220
Print: 0226828220
Kindle: B0CKRWLZQ1
Audience: General
Level: Introductory
Category: Data Science

For recommendations of books on data science see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?



Adventures of a Computational Explorer

Author: Stephen Wolfram
Publisher: Wolfram Media
Pages: 432
ISBN: 978-1579550264
Print:1579550266
Kindle: B07Z6BYVSC
Audience: Fans of  Stephen Wolfram
Rating:  3
Reviewer: Alex Armstrong
A personal account of being a computer geek?


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