توضیحاتی در مورد کتاب Digital Oil: Machineries Of Knowing
نام کتاب : Digital Oil: Machineries Of Knowing
ویرایش : 1
عنوان ترجمه شده به فارسی : روغن دیجیتال: ماشین آلات دانستن
سری : Infrastructures
نویسندگان : Eric Monteiro
ناشر : The MIT Press
سال نشر : 2022
تعداد صفحات : 229
ISBN (شابک) : 0262544679 , 9780262372282
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 15 مگابایت
بعد از تکمیل فرایند پرداخت لینک دانلود کتاب ارائه خواهد شد. درصورت ثبت نام و ورود به حساب کاربری خود قادر خواهید بود لیست کتاب های خریداری شده را مشاهده فرمایید.
فهرست مطالب :
Cover
Half Title
Series Title
Title
Copyright
Contents
Preface
Acknowledgments
1. Introduction
The Remainder of the Book
I. Setting
2. Context
Natural Resources for Energy Production as a Public Good
Economic Liberalization
Subsea Technologies: A Competitive Advantage?
Conclusion
3. Apparatus
Data Types and Characteristics
Silos: Barriers to Communication
Responding to Silos: Digital Data Platforms and Industry-Wide Standardization Efforts
Conclusion
II. Cases
4. Data
Theoretical Framing: Data Work and Repair
The Case of Data Managers in NorthOil: Crafting Data into Data
Crafting the Identify of Data
Crafting Overviews of Data
Conclusion
5. Uncertainty
Theoretical Framing: Organizational Decision-Making
Continuity: Accumulating “Evidence”
Discontinuity: Contesting the Established
Multiplicity: Irreducible and Cultivated
Conclusion
6. Knowing
Theoretical Framing: Automation and IoT-Enabled Visions of Industry 4.0
The Case of Sand-Monitoring Routines: The Superimposing of Digital Representations
Period 1 (Early 1990s): Organizational Consequences of False Alarms
Period 2 (Mid-1990s to Early 2000s): Meshing Sand Monitoring with Related Routines
Period 3 (Early to Mid-2000s): Sand, an Interactive, Algorithmic Phenomenon
Period 4 (Mid-2000s and Onward): Sand as a Machine Learning–Based Predictive Model
Conclusion
7. Politics
Theoretical Framing: The Crafting of “Facts”
The Case of Environmental Monitoring in the Arctic: Datafication of the Marine Environment
IoT: A Viable Alternative? The Venus Project
Making Environmental Data Relevant to Daily Operations: The EnviroTime Project
Calibrating and Triangulating Marine Environment Data: An Alliance with Venus
The Politics of Modeling: The Ice Edge
Conclusion
III. Implications
8. Conclusion
Objects of Knowing: Phenomenological Real
Modes of Knowing: Scaffolding
Machineries of Knowing: “Bringing Work Back In”
Appendix: A Note on Method
Notes
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Appendix
References
Index