This paper puts forward a conceptual proposition that ties the discourses on ‘urban memory’ (Stillman and Johanson, 2009; Ringas, Christopoulou, Stefanidakis., 2011; Loughran, Fine & Hunter, 2015), sensory ethnography (Pink 2017 ), and counter-mapping (Crampton and Krygier 2018; ) with digital methods (Rogers, Sánchez-Querubín, and Kil, 2015). As an ‘interventionist’ approach, we understand co-producing counter (dynamic) maps with local stakeholders (actors), coupled with sensory and sentient data as a way of capturing the memory of urban peripheral landscapes (through intervention and participation) and thus creating archival knowledge.Urban memory is often understood as a form of collective memory that isconstituted by individual experiences within the place itself and through its historyand social environment (Ringas et al., 2011). With rapid changes in digitaltechnologies, digital and material have become “inseparate and entangled inenvironments people move and navigate their lives through'' (Pink and Fors, 2017).Memories are “evoked with material engagement with devices” which “opens up afield of sensory and affective engagement” research (ibid). While Pink and Forspropose to follow such engagement in a mundane and everyday setting, seen as anon-representational, phenomenological approach, we put forward a mixedmethods approach that connects sensory and sentient data (as agents) with the largerenvironmental context.Urban areas are often conceptualized as sites of ‘creative destruction’, in between stability and change, space (that can be developed) and place (that is lived in), often subjected to planning, regulation, and economic forces (Batty, 2007). This is especially true for urban areas that are located outside of the ‘center’ or in the cities’ periphery. These areas have experienced an endless cycle of deconstruction and reconstruction often witnessed and captured by local inhabitants, creatives, and activists. Currently, many of the peripheral areas are emancipating, bringing forward and openly communicating their complexities, values, and engaging various stakeholders in their regeneration efforts (which happens in a broader context of many European cities repositioning themselves in more polycentric and polyphonic ways, (Scott, 2015).To be able to capture the memory of ever-changing, ‘built a new’ urban places, we put forward counter (dynamic) mapping using digital methods as complemented with sensory and sentient data generated through interactions with digital technologies. Building on Crampton’s notion of maps (Crampton and Krygier, 2018), cartography is understood as existence (becoming) rather than essence (fixed ontology). Maps are therefore taken not as ‘objects’, but as performative practices. Digital methods, on the other hand, enable us to understand dynamic place-making, through ‘tracing’ the stakeholders (actors) and their relations overtime to capture the ways the urban environment gets performed.To clarify with an example, in Spinoza Imaginaries Lab & Cafe situated inAmsterdam Southeast we have been capturing the ever changing urbanenvironment in partnership with local stakeholders (actors), mapping their evolvingrelationships (and grouping) using the IssueCrawler and sentient data co-gatheredby researchers and students, with the clear understanding that to be able to capturea place, it is important to map the vernacular knowledge of that place (imaginaries,including art, movies, unrealized plans and initiatives, etc.). We propose this mixedmethods approach as an epistemological practice geared towards archiving thedynamic state of urban peripheral landscapes.
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Depicting news graphically is considered an apt way to deal with two challenges of modern journalism: to disclose big data, and present the news attractively, visually, and fast to grasp. Newsrooms try their hand at it and are figuring out how to organize production of information visualizations effectively. This study delves into reported obstacles and challenges for the production of news visualizations and suggests that enhancing the quality of information visualization in news media, asks for a clear view on what information visualization means for the production of news, rather than only stimulating journalist to acquire new skills
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This article examines the organisation of collaborative digital methods and data projects in the context of engaged research-led teaching in the humanities. Drawing on interviews, field notes, projects and practices from across eight research groups associated with the Public Data Lab (publicdatalab.org), it provides considerations for those interested in undertaking such projects, organised around four areas: composing (1) problems and questions; (2) collectives of inquiry; (3) learning devices and infrastructures; and (4) vernacular, boundary and experimental outputs.Informed by constructivist approaches to learning and pragmatist approaches to collective inquiry, these considerations aim to support teaching and learning through digital projects which surface and reflect on the questions, problems, formats, data, methods, materials and means through which they are produced.
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In order to stay competitive and respond to the increasing demand for steady and predictable aircraft turnaround times, process optimization has been identified by Maintenance, Repair and Overhaul (MRO) SMEs in the aviation industry as their key element for innovation. Indeed, MRO SMEs have always been looking for options to organize their work as efficient as possible, which often resulted in applying lean business organization solutions. However, their aircraft maintenance processes stay characterized by unpredictable process times and material requirements. Lean business methodologies are unable to change this fact. This problem is often compensated by large buffers in terms of time, personnel and parts, leading to a relatively expensive and inefficient process. To tackle this problem of unpredictability, MRO SMEs want to explore the possibilities of data mining: the exploration and analysis of large quantities of their own historical maintenance data, with the meaning of discovering useful knowledge from seemingly unrelated data. Ideally, it will help predict failures in the maintenance process and thus better anticipate repair times and material requirements. With this, MRO SMEs face two challenges. First, the data they have available is often fragmented and non-transparent, while standardized data availability is a basic requirement for successful data analysis. Second, it is difficult to find meaningful patterns within these data sets because no operative system for data mining exists in the industry. This RAAK MKB project is initiated by the Aviation Academy of the Amsterdam University of Applied Sciences (Hogeschool van Amsterdan, hereinafter: HvA), in direct cooperation with the industry, to help MRO SMEs improve their maintenance process. Its main aim is to develop new knowledge of - and a method for - data mining. To do so, the current state of data presence within MRO SMEs is explored, mapped, categorized, cleaned and prepared. This will result in readable data sets that have predictive value for key elements of the maintenance process. Secondly, analysis principles are developed to interpret this data. These principles are translated into an easy-to-use data mining (IT)tool, helping MRO SMEs to predict their maintenance requirements in terms of costs and time, allowing them to adapt their maintenance process accordingly. In several case studies these products are tested and further improved. This is a resubmission of an earlier proposal dated October 2015 (3rd round) entitled ‘Data mining for MRO process optimization’ (number 2015-03-23M). We believe the merits of the proposal are substantial, and sufficient to be awarded a grant. The text of this submission is essentially unchanged from the previous proposal. Where text has been added – for clarification – this has been marked in yellow. Almost all of these new text parts are taken from our rebuttal (hoor en wederhoor), submitted in January 2016.
