#datacultures — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datacultures, aggregated by home.social.
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Coming up on Friday, July 12, 2024:
"Academic data science: Transdisciplinary and extradisciplinary visions" with Dr. Anissa Tanweer, #UW #eScience Center:
One vision [of data science] is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines.
The talk is free and open to the public (with a remote participation option).
Co-sponsored with @cwts as part of our joint #DataCultures speaker series.
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Coming up on Friday, July 12, 2024:
"Academic data science: Transdisciplinary and extradisciplinary visions" with Dr. Anissa Tanweer, #UW #eScience Center:
One vision [of data science] is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines.
The talk is free and open to the public (with a remote participation option).
Co-sponsored with @cwts as part of our joint #DataCultures speaker series.
-
Coming up on Friday, July 12, 2024:
"Academic data science: Transdisciplinary and extradisciplinary visions" with Dr. Anissa Tanweer, #UW #eScience Center:
One vision [of data science] is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines.
The talk is free and open to the public (with a remote participation option).
Co-sponsored with @cwts as part of our joint #DataCultures speaker series.
-
Coming up on Friday, July 12, 2024:
"Academic data science: Transdisciplinary and extradisciplinary visions" with Dr. Anissa Tanweer, #UW #eScience Center:
One vision [of data science] is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines.
The talk is free and open to the public (with a remote participation option).
Co-sponsored with @cwts as part of our joint #DataCultures speaker series.
-
Coming up on Friday, July 12, 2024:
"Academic data science: Transdisciplinary and extradisciplinary visions" with Dr. Anissa Tanweer, #UW #eScience Center:
One vision [of data science] is a transdisciplinary view portraying data science as a phenomenon with transcendent, appropriative, and impositional qualities that sits apart from academic domains. Another view of data science—one that was far more prevalent among our research subjects—casts data science as grounded, relational, and adaptive, emerging from crosspollination of numerous academic domains. We argue that this latter formulation represents a more quotidian reality of data science and positions the field as an extradiscipline, defined as a field that exists to facilitate the exchange of knowledge, skills, tools, and methods from an indeterminate and fluctuating set of disciplinary perspectives while conserving the boundaries of those disciplines.
The talk is free and open to the public (with a remote participation option).
Co-sponsored with @cwts as part of our joint #DataCultures speaker series.