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Jane Rohrer

The Changing Face of Literacy in the 21st Century: Dr. Annette Vee Visits the Podcast

2021-04-13
By: Jane Rohrer
On: April 13, 2021
In: Annette Vee
Tagged: artificial intelligence, computer code, Data, digital humanities, digital literacy, digitization, Education, programming

The English language is a tough one to master. It’s a language full of contradictions, exceptions to seemingly nonsensical rules, and confusing homophones. English Compositionists have spent decades studying how we learn to read and write it, and for most of that time, studies have focused on the language itself; using pens, pencils, and paper—or even a typewriter—little else would likely interfere with or distract from a basic writer’s journey toward mastery. Our April 5, 2021 guest on the podcast, Dr. Annette Vee, studies how writing, and the entire concept of literacy, has changed since the proliferation of digital technologies. For a student to be considered “literate” in an English Composition today, they must not only master the ins and outs of English itself—the minutia of commas, i-before-e, their/there/they’re—but also the computer or device they use to compose: the administrative and participatory tasks of their class’ Learning Management System, their word processing application, the host they send and read class-related emails through, and so much more. And as Dr. Vee points out, a student or employee who pursues a career that uses computers might also be required to learn a programing language before they are considered truly “literate” in the language of their professional world. A lot more goes into language-based literacy today than just words on a page. Dr. Vee is Associate Professor of English and Direction of the Composition Program here at the University of Pittsburgh, as well as a participant and Co-Leader of our Sawyer Seminar, originated in the fall of 2019 (And Read More

Dr. Lara Putnam Visits the Podcast: Web-Based Research, Political Organizing, and Getting to Know Our Neighbors

2021-04-13
By: Jane Rohrer
On: April 13, 2021
In: Lara Putnam
Tagged: Algorithms, digital humanities, digitization, election maps, elections, history, Information, politics, research, search engines

What does it really mean to do research in the digital age? We might have what seem like an easy set of answers: doing research means using Google, managing citations using organizational software like Zotero or Easy Bib, collecting and integrating quotations (we might use Endnote or Scrivener for this), accessing archives (some of which are physical, but most of which are not), and then presenting that research using a word processor. But again, what does this really mean, especially when we consider that for most of human history, research looked nothing like what I’ve just described? If a search engine does not exist, nor the Internet, neither do any of the ways we access information as it exists separately from geographic space and necessarily longer durations of time. Before such massive accumulations of digitized texts, a researcher would likely have to travel to a specific archival or fieldwork site to accrue knowledge that could only be gained in that specific way: driving to the airport, stepping on a plane, travelling to that location, and spending a significant amount of time there. But today, all of that time, money, and attention can be saved and spent on engaging with the text itself; fieldwork can be supplemented increasingly efficiently with Zoom, Skype, text and email. Our podcast guest on April 2, 2021, Dr. Lara Putnam, chatted with me about exactly how these profound and rapid changes in research methods impact our daily lives, and how we think about the world around us. Dr. Puntam is UCIS Research Read More

Chris Gilliard Visits the Podcast: Digital Redlining, Tech Policy, and What it Really Means to Have Privacy Online

2021-04-06
By: Jane Rohrer
On: April 6, 2021
In: Chris Gilliard
Tagged: Big Data, data pipelines, digital privacy, Ed Tech, Education, Information Ecosystems, race, racism, surveillance

The history of surveillance in the United States is a long one. Our guest for the podcast on March 31, 2021, Dr. Chris Gillard, studies this very fact; Dr. Gillard’s scholarship focuses on digital privacy, institutional tech policy, surveillance capitalism, and digital redlining—a term that he defined on the podcast as “the creation and maintenance of tech practices, policies, pedagogies, and investment decisions that enforce class boundaries and discriminate against marginalized group.” As many of our Seminar guests have attested, too, access and relationships to contemporary digital technologies falls along racial, gendered, and classed lines, and the Internet—and the tools we use to access it—are made overwhelming by and for wealthy, straight white men in urban environments. And as Dr. Gilliard points out, access to the Internet is not the only thing historically minoritized groups are robbed of; these groups are also overwhelmingly stripped of their autonomy and privacy online. Although worries about CCTV and post-Patriot Act wiretapping seem especially twenty-first century, eminent scholars have recently illustrated how the very foundation of our nation, including its formation of racial and class differences, depended on the institution of surveillance. In her groundbreaking Dark Matters: On The Surveillance of Blackness, Simone Browne makes clear the connections between “the Panopticon, captivity, the slave ship, plantation slavery, racism, and the contemporary carceral practices of the U.S. prison system,” illustrating how contemporary surveillance technologies of all kinds have been formed and informed by the U.S.’s methods of policing and categorizing Black life under slavery (Browne pg. 43). This is evident all Read More

A 19th Century Doctor's Visit

Numbers Have History

2021-03-25
By: Jane Rohrer
On: March 25, 2021
In: Christopher Phillips
Tagged: artificial intelligence, Big Data, history, history of science, Information, medicine, precision medicine, sawyer seminar, STEM

Dr. Christopher Phillips on the Histories of Statistics & Data in Medicine On March 17, our podcast hosted Dr. Christopher Phillips, a Professor and Historian of science, medicine, and statistics Carnegie Mellon University—and also a member of our Seminar! Beginning in the Fall of 2019, Dr. Phillips joined in on our public events and Friday lunchtime sessions. On our podcast interview, he shared how joining the Seminar’s interdisciplinary conversations about data and (reference intended!) information ecosystems has revealed the need for and rewards of approaching the same topics from distinct disciplinary and methodological viewpoints. And during our chat, I was alerted over and over to how valuable a historic approach to understanding science is. So often, we view STEM fields and workplaces as intrinsically separate from, and thus competing against, the humanities. This perceived divide has real-world consequences, among them the myths of STEM disciplines as ahistorical or apolitical, and the ultimately dangerous devaluing and underfunding of humanities programs. But Dr. Phillips’ work stands as a testament to the very real insights to be gained from a historical approach to math, science, statistics, and medicine. His current research focuses on the long histories of precision medicine and statistical approaches within. In the wake of the ongoing COVID-19 pandemic, the concept of precision medicine has come under renewed scrutiny. Precision medicine proposes that medical practices ranging from decisions, diagnoses, treatments, and products can be tailored to precise subgroups of patients—taking into account their genetics, environment, and lifestyle, rather than a “one size fits all” approach. For many Read More

Augmented Reality as a New Reality: How AR is Changing Monuments, Memorials, and Information Retrieval

2021-02-22
By: Jane Rohrer
On: February 22, 2021
In: Uncategorized
Tagged: anti-racism, archives, artificial intelligence, augmented reality, Big Data, black history month, history, racism, virtual reality

When you read the phrase “Augmented Reality,” your mind might turn to something like Pokémon GO or the popular running app, Zombies, Run! In both cases, the user experiences a game that, while based in a real-world environment, includes computer-generated perceptual information—most typically visuals and sounds, but including haptic modalities, too. A Pokémon, GO player might make their way down a very real hiking trail or across a downtown street while their phones display that very same location—the only difference being a virtual Growlithe waiting to be captured atop a tree stump or storm drain. Augmented Reality is a term that’s been in the mainstream public consciousness for decades now; for example, AR in the form of what’s known as Heads Up Display (HUD), which allows airplane pilots to read information on a clear glass screen atop the windshield itself (rather than a separate display), has been standard in aviation for decades now. But only very recently, alongside the rise of smartphones and Artificial Intelligence, has the true potentiality of AR become a mainstream, everyday reality—allowing it to flourish most popularly in entertainment, fitness, and marketing and commerce. Pokémon GO and Zombies, Run! have been around since 2016 and 2012 respectively, and in that time a whole world of Augmented Reality experiences have popped up. Alongside the video games and fitness experiences, there’s the Warby Parker app that allows users to virtually try on glasses, an IKEA app that places virtual furniture into users’ homes, and Snapchat filters that turned a Footlocker advertisement into a 3D Read More

Racism, Algorithms, and Blackness in Medicine: A Reading List for Black History Month During a Pandemic

2021-02-17
By: Jane Rohrer
On: February 17, 2021
In: Uncategorized
Tagged: Algorithms, Big Data, black history month, diversity, medical bias, medicine, racism

Happy Black History Month! The Seminar does not have any scheduled guests or podcasts so far this month, and so an opportunity arises to highlight voices & publications beyond our venerable (& growing!) list of participants. During this strange & stressful February, I wanted to make space, as SE (Shack) Hackney did last year, within Information Ecosystems to highlight some incredible and essential work by and about Black voices, and—amid a global pandemic—how race overlaps with medicine, data, and concepts of cure. What follows is an absolutely non-exhaustive reading list on topics of Blackness, medicine, data, and technology. I offer these pieces & voices as profoundly important to how we should be thinking about medicine and technology within our current moment; it is difficult to understate the debt we all owe to Black scholars, activists, scientists, doctors, and organizers, particularly in digitally-oriented spaces—but lending an eye or ear to their essential contributions is a start. And indeed, as the long shadow of COVID-19 extends toward its year-long mark, we must take seriously the disproportionally devastating impact the pandemic has had on our nation’s Black communities. Today, while the rate of hospitalization and death per 10,000 sits at 7.4 and 2.3 for white patients, it is a staggering 24.6 and 5.6 for Black patients (source). Scholars from a wide array of disciplines have over and over confirmed that the U.S. has a long and difficult history of racism in medicine. And, as our own Seminar guests—such as Dr. Safiya Noble and Dr. Sandra González-Bailón—have also confirmed, the Read More

Cartogram of the 2008 US Presidential Election results

Election Maps, Purple States, and Visualizing Space: A Visit with Professor Bill Rankin

2021-01-04
By: Jane Rohrer
On: January 4, 2021
In: Bill Rankin
Tagged: Big Data, Bill Rankin, cartography, Data, data visualization, election maps, maps

On Friday, December 4, The University of Pittsburgh’s Mellon-Sawyer Seminar Information Ecosystems: Creating Data (and Absence) from the Quantitative to the Digital Age was joined by Bill Rankin, an Associate Professor of the History of Science at Yale University. Professor Rankin’s research focuses on the relationship between science and mapping, the environmental sciences and technology, architecture and urbanism, in addition to methodological problems of digital scholarship, spatial history, and geographic analysis. His prize-winning first book, After the Map: Cartography, Navigation, and the Transformation of Territory in the Twentieth Century, was published by the University of Chicago Press in 2016. Professor Rankin is also an award-winning cartographer, and his maps have been published and exhibited widely in the U.S., Europe, and Asia. Rankin talked with the Sawyer Seminar Participants, who are faculty and students at the University of Pittsburgh and Carnegie-Mellon University, about cartography, election mapping, and the contemporary U.S. political landscape. Amid the many reactions to and characterizations of the historic 2020 Presidential election, this meeting helped the Seminar participants understand how and why election mapping continues to play an increasingly crucial role in the electoral process; in particular, Rankin’s talk touched generatively about the concept of “purple states” or “purple places.” Purple has been, in recent years, offered as a more representative complication to the simple binarism of “blue,” or liberal, and “red,” or conservative states. The “red” versus “blue” state discourse began as a simple, visual way for newscasters to characterize a state’s partisan tendencies over long durations of time. And while we do Read More

Old Newspapers & Shared Histories: Lyneise Williams on Preserving History’s Images

2020-03-06
By: Jane Rohrer
On: March 6, 2020
In: Lyneise Williams
Tagged: Curation, digital humanities, digitization, newspaper, Preservation

On March 6, Lyneise Williams, Professor of Art History at the University of North Carolina at Chapel Hill, spoke with the Seminar about her work at the crossroads of computational archive science, art history, and material studies. Dr. Williams’ work involves analyzing visual representations of race; her book, Latin Blackness in Parisian Visual Culture, 1852-1932,  was published by Bloomsbury in 2019. In her talk with us, Dr. Williams pointed out that analyzing such visuals requires attention to reproduction, mediation, and digital surrogacy. In other words, when a reader of Williams’ book encounters an image of the 20th century Panamanian boxer Alfonso Teofilo Brown, they are not seeing the image itself—and certainly not the human depicted in the image—but, instead, a highly mediated reproduction. Certain details might be lost in translation, and the more often an image is reproduced, the more it is likely to deteriorate; thus, what we analyze is not only the image itself, but also its journey through space and time to get to our eyes. If you’ve ever watched a hilariously blurry Youtube video of something from the 1980’s you’re familiar with what’s called “generation loss” –the more copies exist from a single original, the less likely it is that you’re getting a truly representative visual. Dr. Williams’ described her ongoing difficulties with this issue, particularly as it applies to race. Most recently: when she studies microfilm scans of early-20th century newspapers, it is rare that adequate care is taken to preserve photographs within newspapers of Black subjects. While the words of the Read More

Data Pipelines, Data Fluidity: Colin Allen on the “Useful Fiction” of Curated Data

2020-02-28
By: Jane Rohrer
On: February 28, 2020
In: Colin Allen
Tagged: Big Data, Darwin, data pipelines, Topic modeling

Colin Allen, distinguished professor in the Department of History and Philosophy of Science at the University of Pittsburgh, is both an invited speaker and an ongoing participant in our Seminar; on February 28th, Dr. Allen talked with his fellow participants about his work in what he (and others) call “data pipelines.” Broadly speaking, using data pipelines means that data are collected and recorded in one of many particular ways—but eventually used for purposes other than why they were originally collected. And this means, Dr. Allen pointed out, that data are highly fluid, flexible, and even self-perpetuating. An especially potent example of this in Allen’s own work is his current role as Associate Editor of the Stanford Encyclopedia of Philosophy. While this project has one discreet start date back in 1995, it has been anything but static since then; as of March 2018, the site has approximately 1,600 entries each of which is routinely reviewed and updated. Each new post adds to what is now a highly dynamic reference work containing data culled from all over the web—a pipeline, indeed. Dr. Allen thoughtfully pointed out that as our relationship to data changes over our collective futures, it is important to remember that data does not enter into our world on its own but, rather, it is collected and curated. Allen co-authored an article, “Exploration and Exploitation of Victorian Science in Darwin’s Reading Notebooks,” with Jaimie Murdock and Simon DeDeo in 2017. Charles Darwin left careful records of the books he read from 1837 to 1860, making this Read More

Research Software & Building Useful Data from Absence

2020-02-07
By: Jane Rohrer
On: February 7, 2020
In: Matthew Lincoln
Tagged: Curation, Data, data visualization, Information Ecosystems, Museums

On February 7th, one of the Seminar’s very own participants headed our lunchtime discussion; Dr. Matthew Lincoln, a research software engineer at Carnegie Mellon University Libraries, talked with us about museum informatics, archive management, and computational approaches to humanities projects. Although his transition to software engineer is relatively recent, his experience with data modelling and analysis is definitely not—before his move to Carnegie Mellon, Dr. Lincoln earned a Ph.D. in art history from University of Maryland, where he used computational methods to study 16th-18th century Dutch printmakers. This, along with his work on data engineering at the Getty Research Institute’s Getty Provenance Index Databases, makes him uniquely attuned to multiple aspects of building data sets and archiving. As Dr. Lincoln himself articulated during his talk, using large data sets as a Ph.D. candidate—what he worded as the “available technology”—alerted him to particular data absences within library and museum holdings; in other words, researchers can only carry out the large-scale digital projects that data actually exist for. If you’ve ever searched for an eBook only to find that a digital version of this text does not (yet) exist, you know this feeling; it is, on a smaller scale, the same feeling a researcher might have if they, for example, wanted to compare one particular library system’s entire collection to another—but there is no usable data with which to do such a project. The project idea is there, the necessary data is not. This is where and why Dr. Lincoln’s job becomes so essential; his work has helped Read More

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Invited Speakers

  • Annette Vee
  • Bill Rankin
  • Chris Gilliard
  • Christopher Phillips
  • Colin Allen
  • Edouard Machery
  • Jo Guldi
  • Lara Putnam
  • Lyneise Williams
  • Mario Khreiche
  • Matthew Edney
  • Matthew Jones
  • Matthew Lincoln
  • Melissa Finucane
  • Richard Marciano
  • Sabina Leonelli
  • Safiya Noble
  • Sandra González-Bailón
  • Ted Underwood
  • Uncategorized

Recent Posts

  • EdTech Automation and Learning Management
  • The Changing Face of Literacy in the 21st Century: Dr. Annette Vee Visits the Podcast
  • Dr. Lara Putnam Visits the Podcast: Web-Based Research, Political Organizing, and Getting to Know Our Neighbors
  • Chris Gilliard Visits the Podcast: Digital Redlining, Tech Policy, and What it Really Means to Have Privacy Online
  • Numbers Have History

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