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history of science

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

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
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  • Mario Khreiche
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  • Safiya Noble
  • Sandra González-Bailón
  • Ted Underwood
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