this sure looks interesting...

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http://youngstorytellers.com/

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ALA and the Data Storytelling Toolkit for Librarians

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So ALA sent out their email to invite members to come to ALA Annual in Chicago this year, and they selected five sessions to highlight. Ours is one of them!   As the US struggles with an onslaught of book banning like we have not seen in my lifetime, our project, the Data Storytelling Toolkit for Librarians , aims to get ahead of what we expect to come next: local battles over the existence of public and community college libraries. In fact, this battle has already begun, with some community college libraries in my state losing up to 2/3rds of their former staffing levels since the Covid-19 pandemic. We are right on time. This concern about defending libraries launched my research on understanding data storytelling in librarianship, with a pilot project in 2019 funded by the Center for Social & Behavioral Science at the University of Illinois--an article on obstacles to library data storytelling is in press with Public Library Quarterly, likely to be published in summer 2023. ...
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Plot and the correlation-causality continuum

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When I talk to people about plot or read books about how to write a great plot, for instance for a movie (1), folks generally assume that plot indicates causality. Events occur in an order, one causing another, as a straight line of dominoes each causing the next to topple. That bad old wolf wouldn't have eaten Grandma if Little Red Riding Hood hadn't strayed from the path, like her mother said, right?  But I don't think causality alone is what fascinates most of us about a good story. I argue that plot operates on a continuum between correlation and causation . This is a continuum that includes both ends. What I mean is that stories actually don't make clear and explicit arguments about causality all of the time. They do sometimes, when they are operating at the extreme causation end of the spectrum, but many times events occur in sequence without an argument about causation. Our minds are drawn to stories because the sequence of events in a typical plot is ...
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Look for the Helpers: Appreciating the DSTL Students

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  When Mr. Rogers was just a boy named Fred, his mother advised him, in times of trouble, that he should "Look for the helpers. You will always find people who are helping." He repeated that wisdom often. Our research team has been very fortunate to have seen some remarkable helpers over the past four years. This post is dedicated to all of the students who have helped to build the  The Data Storytelling Toolkit for Libraries (DSTL). The DSTL will continue, despite funding uncertainties (see below), but the work will necessarily have to take new forms. So it's a perfect time to pause and say thank you to the helpers , specifically the student workers and practicum participants from 2021-2025. On behalf of co-PIs Matt Turk and Jill Naiman, collaborators Sara Goek from the Public Library Association and Martha Kyrillidou of Quality Metrics LLC , and myself, we wish to give our heartfelt thanks to all of the following students: Research Assistants:   Xinhui Hu (2021-25)...
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