The Anthropocene, as one of the core concepts currently used to understand and reflect on the relationships among humans, species, and planet, has received widespread attention and discussion in the global academic community. As one of the important alternative concepts to the Anthropocene, the term Plantationocene was first proposed by Haraway et al. in October 2014. Compared to the former, it reveals the fundamental characteristics of the modern era, and continues to enrich its theoretical connotations amidst rapid shifts in social (...) concepts and practices. Tracing and sorting out the genealogy of this concept over less than a decade since its inception allows for a microhistorical study of conceptual history, revealing three key dimensions of its meaning: (i) a critique of the history of (post)colonialism and extractivism, (ii) although plantations are known worldwide for monocrop agriculture and have so-called keystone species, they are essentially a multispecies symbiotic system. From its inception, the concept of the Plantationocene inherently encompasses the idea of “multispecies entanglement and multispecies politics,“ and (iii) a metaphor for structural power relations from real word to digital world. Research indicates that the Plantationocene has become a framework for understanding the connection between ecological destruction and social inequality. In the game of global ecological politics and academic power relationships in the post-humanist era, it requires us to pay attention not only to the relationships among humans but also those among multispecies to build a more just and sustainable society in the future. (shrink)

Social media commentary, satellite imagery and GPS data are a part of ‘alternative data’, that is, data that originate outside of the standard repertoire of market data but are considered useful for predicting stock prices, detecting different risk exposures and discovering new price movement indicators. With the availability of sophisticated machine-learning analytics tools, alternative data are gaining traction within the investment management and algorithmic trading industries. Drawing on interviews with people working in investment management and algorithmic trading firms utilizing alternative (...) data, as well as firms providing and sourcing such data, we emphasize social media-based sentiment analytics as one manifestation of how alternative data are deployed for stock price prediction purposes. This demonstrates both how sentiment analytics are developed and subsequently utilized by investment management firms. We argue that ‘alternative data’ are an open-ended placeholder for every data source potentially relevant for investment management purposes and harnessing these disparate data sources requires certain standardization efforts by different market participants. Besides showing how market participants understand and use alternative data, we demonstrate that alternative data often undergo processes of prospecting and assetization. We further contend that the widespread embracement of alternative data in investment management and trading encourages a financialization process at the data level which raises new governance issues. (shrink)

How did the 3.5-inch Winchester hard disk drive become the fundamental building block of the modern data center? In attempting to answer this question, I theorize the concept of "data peripheries" to attend to the awkward, uneven, and unintended outsides of data infrastructures. I explore the concept of data peripheries by first situating Big Data in one of its many unintended outsides—an unassuming dog kennel in Indiana housed in a former permanent magnet manufacturing plant. From the perspective of this dog (...) kennel, I then build a history of the 3.5-inch Winchester hard disk drive, and weave this hard drive history through the industrial histories of rare earth mining and permanent magnet manufacturing, focusing principally on Magnequench, a former General Motors subsidiary, and its sale and movement of operations from Indiana to China in the mid-1990s and early 2000s. I then discuss how mobilities of rare earths, both as materials and political discourse, shape Big Data futures, and conclude by speculating on how using the situated lenses of data peripheries can open up new methods for studying the material entanglements of Big Data writ large. (shrink)