Lecture Series: Data Practices

Tuesdays, 6-8pm in AH-A 217/18

The lecture series explores how study data “in motion”, both theoretically, empirically and methodology. Sensor media capture environments and movements in the background, social media platforms assemble data across all online practices, drones offer alternative maps and logistical media render work calculable. The proliferation of data-intensive media requires researchers to develop their conceptual vocabulary and socio-technical understanding of data production, calculation and their underlying practices and infrastructures. The value of data, so Adrian Mackenzie argued, does not lie in the individual data points but in the relations data can enter. Throughout the lecture series, we ask how a praxeological account can enable us to account for the movement and transformation of data. We consider data practices as those practices involved in the making, calculation, storage, accounting and valuation of data among others which are socio-material and entangled with infrastructures. Data practices particularly pose the challenge how to account for situatededness and distributedness of media and require researchers to operate on different scales. The talks will unfold an interdisciplinary perspective on different data practices and will inquire into the methodological sensibilities needed to account for them.

The lecture series is jointly organised by the DFG graduate school “Locating Media” and the DFG cooperative research centre “Media of Cooperation”.

30.10. Marcus Burkhardt (Siegen) Learning in the Wild: On the Problem of Adaptivity in Machine Learning

6.11 Timo Kaerlein (Siegen) Social Bots and the Formalization of Sociality on Platforms

13.11 Hendrik Bender & Magdalena Götz (Siegen) Distributed Research: Drones, Media Art & Collecting Data

20.11 Helena Karasti & Gaia Mosconi (Siegen) Open Science, Data Practices and Infrastructure: Two Multidimensional Empirical Accounts
The Open Science (OS) agenda aims to promote cultural, organizational and infrastructural changes across academia, potentially massive and pervasive in scope. In fact, OS intends to make scientific research and data “accessible to all” by removing barriers to sharing, regardless of the type of output, resources, data, methods or tools used and independently from the actual research process. To satisfy OS-driven policies (pushed by funding bodies and other stakeholders), Institutionally-based Repositories have proliferated, within which researchers are expected to publish their scientific data. Significant research has been devoted to studying the issues associated with managing Open Research Data. In particular, Digital Curation, as it is typically known, seeks to address the (cyclic) process of data management to ensure (1) its long-term value (digital preservation) and (2) encourage secondary use. While we believe that “openness” will ultimately help to increase the quality of research, improve research methods and enhance reflexivity in scientific work, in this talk, we want to address the drastic gap that still exists between the OS grand vision and actual researchers’ data practices, though also some functioning examples of data management and sharing exist. We suggest that interdisciplinary research contexts offer a perspicuous opportunity to understand better the Data Curation and Research Data Management issues that can problematise uptake and practices. These relate to obvious discrepancies between Open Research Data policies and subject-specific research practices and needs. We present two empirical accounts of interdisciplinary research contexts in order to discuss which steps need to be undertaken to pursue the OS agenda and realize its benefits. We also aim to encourage researchers to join this discussion and actively engage in shaping the future of science.

27.11 Tobias Röhl (Siegen) Distributing Accountability. Data Practices in Public Transport

4.12 Rafal Zaborowski (London) Holograms, Platforms and Glowsticks: The Challenges of Capturing Music Experiences as Data

11.12 Clancy Wilmott (Manchester) Para-Site: Tables, Topologies and Treachery in Everyday Data Practices

18.12 Eva-Maria Nyckel & André Sekulla (Siegen) Data Practices in Infrastructual Media: Salesforce and Blockchain

8.01 Annet Dekker (Amsterdam) Archiving (in) Processes

15.01 Double Session: Shintaro Miyazaki (Basel) Below the Data is the Signal – A (Marxist) Rhythmanalysis of Data in Motion; Sophie Mützel (Luzern) Data Practices and their Imaginaries: Classification, Categorization, and the Data Imperative

22.01 Cristina Alaimo (Surrey) Infrastructures of Automation: Data Objects, Metrics and Practices in the Programmatic Advertising Ecosystem

29.01 Louise Amoore (Durham) Cloud Ethics: Algorithms and the Attributes of Others