Inte Gloerich and Gabriele Ferri investigate the impacts of Covid-related datafication on marginalized urban communities, emphasizing the importance of creativity and imagination in fostering resilience and agency in the face of ongoing and future crises.
LINK
From the article: Though organizations are increasingly aware that the huge amounts of digital data that are being generated, both inside and outside the organization, offer many opportunities for service innovation, realizing the promise of big data is often not straightforward. Organizations are faced with many challenges, such as regulatory requirements, data collection issues, data analysis issues, and even ideation. In practice, many approaches can be used to develop new datadriven services. In this paper we present a first step in defining a process for assembling data-driven service development methods and techniques that are tuned to the context in which the service is developed. Our approach is based on the situational method engineering approach, tuning it to the context of datadriven service development. Published in: Reinhartz-Berger I., Zdravkovic J., Gulden J., Schmidt R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS 2019, EMMSAD 2019. Lecture Notes in Business Information Processing, vol 352. Springer. The final authenticated version of this paper is available online at https://doi.org/10.1007/978-3-030-20618-5_11.
MULTIFILE
Data, the raw material from which information is derived, is stored, copied, moved and modified more easily than ever. This quantum leap reaches levels outside our imagination. Surrounded by sensors, recommendation systems, invisible algorithms, spreadsheets and blockchains, the ‘difference that makes a difference’ can no longer be identified. Big Data is a More Data ideology, driven by old school hypergrowth premisses. As Nathan Jurgenson once observed: “Big Data always stands in the shadow of the bigger data to come. The assumption is that there is more data today and there will necessarily be even more tomorrow, an expansion that will bring us ever closer to the inevitable pure ‘data totality.” (2) Nothing symbolizes the current hypergrowth obsession better than Big Data. Let’s investigate what happens when we apply degrowth to data and reserve datafication–as a decolonial project, a collective act of refusal, an ultimate sign of boredom. We’re done with you, data system, stand out of my light.
MULTIFILE
The DALI project is carried out under the flag of Logistics Community Brabant. DALI is a testing ground aimed at lifting datafication in the logistics sector of the south of the Netherlands to a higher level, consequently future-proofing the sector.DALI focuses on developing knowledge-intensive logistics (smart logistics): devising, developing, demonstrating and applying new logistics working methods. The project’s aim is to create higher added value, increase the efficiency of goods flow handling, and maintain our international market position.Within DALI, 18 companies are carrying out cases in the area of datafication. The findings from the business cases are translated into generic applications for the logistics and supply chain sector and education. In addition, they are developing a community of data and logistics specialists.Partners:LCB, Gemeenten Breda en Tilburg, REWIN, Midpoint Brabant, Ministerie van Economische Zaken en Klimaat, Rijksoverheid, Provincie Noord-Brabant, Regio West-Brabant, Regio Hart van Brabant.In Dutch:Proeftuin van logistieke innovatie. DALI is een project waarin 18 bedrijven pilots uitvoeren om met datatoepassingen processen in de logistiek en supply chain te verslimmen. Vanuit deze pilots worden generieke toepassingen en tools op het gebied van data ontwikkeld voor MKB-bedrijven en het onderwijs.
