Creative Data Literacy: Bridging the Gap Between Data-Haves and Have-Nots
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Cassidy Sugimoto is Associate Professor in the School of Informatics and Computing, Indiana University Bloomington, who researches within the domain of scholarly communication and scientometrics, examining the formal and informal ways in which knowledge producers consume and disseminate scholarship. She presented this talk, entitled Labor And Reward In Science: Do Women Have An Equal Voice In Scholarly Communication? A Brown Bag With Cassidy Sugimoto, as part of the Program on Information Science Brown Bag Series.
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In the work included below, and presented at NERCOMP 2019, we review privacy principles based on ALA, IFLA, and NISO policies. We then organizing and comparing high level privacy protections required by ALA checklist, NISO, and GDPR. This framework of principles and controls is then used to score the privacy policies and practices of major vendors of research library content. We evaluate each element of the vendors privacy policy, and use instrumented browsers to identify the types of tracking mechanisms used by different vendors. We use this set of privacy scores to support analyses of change over time, and of potential gaps between patron expectations and privacy policies and practices.
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Bradner abstracted his talk as follows:
In a way the Russians caused the Internet. This talk will describe how that happened (hint it was not actually the Bomb) and follow the path that has led to the current Internet of (unpatchable) Things (the IoT) and the Surveillance Economy.
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In his abstract, Scriffignano summarizes as follows:
l explore some of the ways in which the massive availability of data is changing and the types of questions we must ask in the context of making business decisions. Truth be told, nearly all organizations struggle to make sense out of the mounting data already within the enterprise. At the same time, businesses, individuals, and governments continue to try to outpace one another, often in ways that are informed by newly-available data and technology, but just as often using that data and technology in alarmingly inappropriate or incomplete ways. Multiple “solutions” exist to take data that is poorly understood, promising to derive meaning that is often transient at best. A tremendous amount of “dark” innovation continues in the space of fraud and other bad behavior (e.g. cyber crime, cyber terrorism), highlighting that there are very real risks to taking a fast-follower strategy in making sense out of the ever-increasing amount of data available. Tools and technologies can be very helpful or, as Scriffignano puts it, “they can accelerate the speed with which we hit the wall.” Drawing on unstructured, highly dynamic sources of data, fascinating inference can be derived if we ask the right questions (and maybe use a bit of different math!). This session will cover three main themes: The new normal (how the data around us continues to change), how are we reacting (bringing data science into the room), and the path ahead (creating a mindset in the organization that evolves). Ultimately, what we learn is governed as much by the data available as by the questions we ask. This talk, both relevant and occasionally irreverent, will explore some of the new ways data is being used to expose risk and opportunity and the skills we need to take advantage of a world awash in data.
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Dr Micah Altman presented this at the Society for American Archivists 2016 Research Forum.
In this presentation I discuss some key potential topics for preservation research in the next five years.
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Presented at the Software Preservation Network Forum:
"We discuss the results of an environmental scan characterizing the current landscape of software repositories, hubs, and publication venues that are used in research and scholarships. The study aims to characterize the research and scholarship use cases supported by exemplar repositories, their models for sustainability, and the related key affordances, significant properties which the repository offers/maintains. We supplement this with a scan of funder and publisher policies toward software curation and citation; and a summary of key policy resources and guidelines. Using this environmental scan, we discuss a preliminary gap analysis. It hoped that by addressing these key questions, new insights will be provided into the types of decisions research Libraries can expect to make when designing future pilot software curation services."
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authorsNote: This summarizes a presentation given at the *National Academies of Sciences* as part of [Data Citation Workshop: Developing Policy And Practice*](http://sites.nationalacademies.org/pga/brdi/index.htm) .
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For more on this talk see: informatic.mit.edu
Gillian Smith who an Assistant Professor in Art+Design and Computer Science at Northeastern University, gave this talk entitled Can Computers be Feminist? Procedural Politics and Computational Creativity, as part of the Program on Information Science Brown Bag Series.
In the talk, illustrated through the slides below, Gillian presented a perspective on computing viewed as a co-creation of developer, algorithm, data, and user. And the talk argued that developers embed, through the selection of algorithm and data, specific ethical and epistemic commitments within the software they produce.
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Visual representation of all kinds are becoming more important in our ever growing image-based society, especially in science and technology. Yet there has been little emphasis on developing standards in creating or critiquing those representations. We must begin to consider images as more than tangential components of information and find ways to seamlessly search for accurate and honest depictions of complex scientific phenomena. I will discuss a few ideas to that end and show my own process of making visual representations in sciences and engineering. I will also make the case that representations are just as "intellectual" as text.
About the discussant:
Science photographer Felice Frankel is a research scientist in the Center for Materials Science and Engineering at the Massachusetts Institute of Technology with additional support from Chemical Engineering, Materials Science and Engineering, and Mechanical Engineering.
She is a fellow of the American Association for the Advancement of Science, a Guggenheim Fellow, and was a Senior Research Fellow in Harvard University’s Faculty of Arts and Sciences and a Visiting Scholar at Harvard Medical School’s Department of Systems Biology.
She most recently developed and instructed the first online MOOC addressing science and engineering photography. Click the following link to access 31 tutorials and supplemental material: “Making Science and Engineering Pictures, A Practical Guide to Presenting Your Work.” (course 0.111x)
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