Overview
In this book we aim to take a snapshot in time of the current state of AI in academic libraries. By compiling case studies on the use of such technology, we can begin to understand how librarians are responding to the potential for yet another substantial change in the way we do our work.
Artificial Intelligence is often feared due to hyped up news articles that claim “robots are coming to take our jobs”. While this may be a possibility, it is not an inevitability. The use of AI is more than just a replacement of the librarian, it can be a tool adopted in everyday practice. We aim to collect chapters that reflect how AI is being evaluated or adopted within user services and instruction, collections and technical services, research support, and other special projects or collaborations.
Suggested topics
* User services and Instruction
* Impacts of AI on Information Literacy
* Workshops about AI
* Workshops using or teaching how to use AI
* Privacy and surveillance instruction, ethics of AI
* Collections and Technical Services
* Cataloguing or metadata creation
* Tracking electronic resource behaviour
* Linked data applications
* Natural language processing and other database algorithms
* Digital collections and archives
* Research Support
* Research data management
* Bibliometrics and altmetrics tracking
* Augmented literature reviews
* AI use in data collection and storage
* Special Projects and Collaborations
* AI hubs created on campus or with library involvement
* Partnerships with campus research centres or outside parties
* Other initiatives with LIS related impacts
Note that this is not an exhaustive list and we welcome proposals on other AI ventures within academic libraries.
Deadlines
* Abstracts: November 17th, 2019
* Notice of acceptance December 13th, 2019
* Chapter due: April 30th, 2020
Submission guidelines
Proposals should include
* Author name
* Affiliation and CV
* Chapter title, and abstract
* Chapter abstracts should be 400-500 words in length.
* Proposals should be emailed to the editors in a Word document by November 17th, 2019.
* For the purpose of this book we will be using one inclusive definition of AI, found here: https://thelibrairy.wordpress.
Authors will be notified by December 13th. Complete chapters should be submitted by April 30th, 2020.
Chapters should be unique to this publication. No previously published or simultaneously submitted materials should be included.
Any questions regarding chapter proposals or general inquiries about this book can be directed to the editors, Sandy Hervieux and Amanda Wheatley (amanda.wheatley@mcgill.ca).
In this book we aim to take a snapshot in time of the current state of AI in academic libraries. By compiling case studies on the use of such technology, we can begin to understand how librarians are responding to the potential for yet another substantial change in the way we do our work.
Artificial Intelligence is often feared due to hyped up news articles that claim “robots are coming to take our jobs”. While this may be a possibility, it is not an inevitability. The use of AI is more than just a replacement of the librarian, it can be a tool adopted in everyday practice. We aim to collect chapters that reflect how AI is being evaluated or adopted within user services and instruction, collections and technical services, research support, and other special projects or collaborations.
Suggested topics
* User services and Instruction
* Impacts of AI on Information Literacy
* Workshops about AI
* Workshops using or teaching how to use AI
* Privacy and surveillance instruction, ethics of AI
* Collections and Technical Services
* Cataloguing or metadata creation
* Tracking electronic resource behaviour
* Linked data applications
* Natural language processing and other database algorithms
* Digital collections and archives
* Research Support
* Research data management
* Bibliometrics and altmetrics tracking
* Augmented literature reviews
* AI use in data collection and storage
* Special Projects and Collaborations
* AI hubs created on campus or with library involvement
* Partnerships with campus research centres or outside parties
* Other initiatives with LIS related impacts
Note that this is not an exhaustive list and we welcome proposals on other AI ventures within academic libraries.
Deadlines
* Abstracts: November 17th, 2019
* Notice of acceptance December 13th, 2019
* Chapter due: April 30th, 2020
Submission guidelines
Proposals should include
* Author name
* Affiliation and CV
* Chapter title, and abstract
* Chapter abstracts should be 400-500 words in length.
* Proposals should be emailed to the editors in a Word document by November 17th, 2019.
* For the purpose of this book we will be using one inclusive definition of AI, found here: https://thelibrairy.wordpress.
Authors will be notified by December 13th. Complete chapters should be submitted by April 30th, 2020.
Chapters should be unique to this publication. No previously published or simultaneously submitted materials should be included.
Any questions regarding chapter proposals or general inquiries about this book can be directed to the editors, Sandy Hervieux and Amanda Wheatley (amanda.wheatley@mcgill.ca).
