A bit more from the Data Deluge Column

 Here are another 4 columns I wrote:

1) Are your devices eating up all of your time?

Frederick, D.E. (2017), "Where does the time go? A perceived shortage of time in the digital age – the Data Deluge Column", Library Hi Tech News, Vol. 34 No. 2, pp. 1-7. https://doi.org/10.1108/LHTN-01-2017-0005

I was feeling pretty melancholy when I wrote this paper.  However, since I wrote it, I've noticed that it is an increasingly common topic in both academic papers and the popular media.  We spend a lot of time engaging with electronic devices and the information they present to us.  This is having an impact on various aspects of our lives.

2) AI for librarians

Frederick, D.E. (2020), "Librarians in the era of artificial intelligence and the data deluge", Library Hi Tech News, Vol. 37 No. 7, pp. 1-7. https://doi.org/10.1108/LHTN-03-2020-0029

So, this paper hasn't created any discussion!  Perhaps it is too new.  However, AI is becoming increasingly present in our day to day life and I thought that librarians would be interested in thinking about and discussing the topic.  Hopefully,  more library workers will read it soon and start the discussion.

3) Predatory publishers and how librarians can help

Frederick, D.E. (2020), "Scholarly communications, predatory publishers and publish or perish culture in the 2020s", Library Hi Tech News, Vol. 37 No. 5, pp. 1-11.

 This paper builds on the previous column about Open Science, ongoing discussions in libraries about predatory publishers (made famous by Bealls' List), and the challenges faced by new researchers I learned about when I was working as an information specialist.   While none of the topics I discuss are new to libraries, I hoped to bring all of the issues together in a way that might help to spark some discussion in the field.

4)  Deep learning in the AI field

Frederick, D.E. (2019), "Deep learning for librarians", Library Hi Tech News, Vol. 37 No. 1, pp. 16-22. https://doi.org/10.1108/LHTN-09-2019-0067 

So, there hasn't been too much interest in this topic in the library field.  However, I feel that this is an important aspect of AI for library workers to know about.  Deep learning may be disruptive to traditional reference service but it does not necessarily need to be disruptive in a bad way.  In the column, I suggest how librarians might be useful in terms of helping with deep learning processes.

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