• HC Visitor
Skip to content
Information Ecosystems
Information Ecosystems

Information, Power, and Consequences

Primary Navigation Menu
Menu
  • InfoEco Podcast
  • InfoEco Blog
  • InfoEco Cookbook
    • About
    • Curricular Pathways
    • Cookbook Modules

history

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

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

Tradition and Practition

2019-10-10
By: SE (Shack) Hackney
On: October 10, 2019
In: Matthew Jones
Tagged: Data, digital humanities, history, history of science, Information Ecosystems, machines, math, mechanization

Who lets math organize their life? Drawing of the top view of the Pascaline and overview its mechanism, 1779, Oeuvres de Blaise Pascal. “…technical practices in mathematics and philosophy in turn offered important tools for cultivating truer forms of spiritual and mental nobility. These practices enabled mathematics and natural philosophy to transform, discipline, and train the intellect, the senses, and the affects, and they put these trained faculties at the heart of organizing one’s life.” (PG9-Good Life Scientific Revolution) On October 9th, 2019, Dr. Matthew Jones, visited the Mellon Sawyer Seminar group to discuss how his work in the history of science and technology relates to, makes use of, and critically examines “data” and its artefacts. Themes of collaboration and ethics are two threads that run throughout Dr. Jones’ work, though these terms take on radically different meanings as a result of shifting socio-temporal contexts. His work covers an expansive time period, ranging from early modern inventions to contemporary concerns about digital privacy and surveillance. The social nature of knowledge production and innovation were woven throughout our conversations with Dr. Jones. Highlighting collaborations between artisans and inventors in the mechanization of calculation (rather than narratives about exceptional individuals) is representative of a broader shift in historical study. Scholars from many fields have been moving away from the figure of the individual genius towards recognizing a more complicated and collaborative model of innovation. Similar reconceptions are happening within the contemporary discipline of digital humanities, as scholars strive to repatriate the credit for early experiments with computing to Read More

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

Recent Comments

    Archives

    • June 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • October 2020
    • September 2020
    • May 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019

    Categories

    • 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

    Meta

    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org

    Tags

    Algorithms Amazon archives artificial intelligence augmented reality automation Big Data Bill Rankin black history month burnout cartography Curation Darwin Data data pipelines data visualization digital humanities digitization diversity Education election maps history history of science Information Information Ecosystems Information Science Libraries LMS maps mechanization medical bias medicine Museums newspaper Open Data Philosophy of Science privacy racism risk social science solutions journalism Ted Underwood Topic modeling Uber virtual reality

    Menu

    • InfoEco Podcast
    • InfoEco Blog
    • InfoEco Cookbook
      • About
      • Curricular Pathways
      • Cookbook Modules

    Search This Site

    Search

    The Information Ecosystems Team 2023

    This site is part of Humanities Commons. Explore other sites on this network or register to build your own.
    Terms of ServicePrivacy PolicyGuidelines for Participation