Information and Communication Technologies (ICTs) affect the environment in various ways. Their energy consumption is growing exponentially, with and without the use of ‘green’ energy. Increasing environmental awareness within information science has led to discussions on sustainable development. ‘Green Computing’ has been introduced: the study and practice of environmentally sus- tainable computing. This can be defined as ‘designing, manufacturing, using, and disposing of com- puters, servers, and associated subsystems - such as monitors, printers, storage devices, and net- working and communications systems - efficiently and effectively with minimal or no impact on the en- vironment’. Nevertheless, the data deluge makes it not only necessary to pay attention to the hard- and software dimensions of ICTs but also to the value of the data stored. We explore the possibilities to use information and archival science to reduce the amount of stored data. In reducing this amount of stored data, it’s possible to curb unnecessary power consumption. The objectives of this paper are to develop a model (and test its viablility) to [1] increase awareness in organizations for the environ- mental aspects of data storage, [2] reduce the amount of stored data, and [3] reduce power consump- tion for data storage. This model integrates the theories of Green Computing, Information Value Chain (IVC) and Archival Retention Levels (ARLs). We call this combination ‘Green Archiving’. Our explora- tory research was a combination of desk research, qualitative interviews with information technology and information management experts, a focus group, and two exploratory case studies. This paper is the result of the first stage of a research project that is aimed at developing low power ICTs that will automatically appraise, select, preserve or permanently delete data based on their value. Such an ICT will automatically reduce storage capacity and curb power consumption used for data storage. At the same time, data disposal will reduce overload caused by storing the same data in different for- mats, it will lower costs and it reduces the potential for liability.
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Computers create environmental problems. Their production requires electricity, raw materials, chemical materials and large amounts of water, and supplies (often toxic) waste. They poison dumping sites and pollute groundwater. In addition, the energy consumption in IT is growing exponentially, with and without the use of ‘green’ energy. Increasing environmental awareness within information science has led to discussions on sustainable development. ‘Green Computing’ has been introduced: the study and practice of environmentally sustainable computing or IT. It is necessary to pay attention to the value of the information stored. In this paper, we explored the possibilities of combining Green Computing components with two theories of archival science (Archival Retention Levels and Information Value Chain respectively) to curb unnecessary power consumption. Because in 2012 storage networks were responsible for almost 30 % of total IT energy costs, reducing the amount of stored information by the disposal of unneeded information should have a direct effect on IT energy use. Based on a theoretical analysis and qualitative interviews with an expert group, we developed a ‘Green Archiving’ model, that could be used by organizations to 1] reduce the amount of stored information, and 2] reduce IT power consumption. We used two exploratory case studies to research the viability of this model.
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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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The development of the World Wide Web, the emergence of social media and Big Data have led to a rising amount of data. Information and Communication Technologies (ICTs) affect the environment in various ways. Their energyconsumption is growing exponentially, with and without the use of ‘green’ energy. Increasing environmental awareness has led to discussions on sustainable development. The data deluge makes it not only necessary to pay attention to the hard- and software dimensions of ICTs but also to the ‘value’ of the data stored. In this paper, we study the possibility to methodically reduce the amount of stored data and records in organizations based on the ‘value’ of information, using the Green Archiving Model we have developed. Reducing the amount of data and records in organizations helps in allowing organizations to fight the data deluge and to realize the objectives of both Digital Archiving and Green IT. At the same time, methodically deleting data and records should reduce the consumption of electricity for data storage. As a consequence, the organizational cost for electricity use should be reduced. Our research showed that the model can be used to reduce [1] the amount of data (45 percent, using Archival Retention Levels and Retention Schedules) and [2] the electricity consumption for data storage (resulting in a cost reduction of 35 percent). Our research indicates that the Green Archiving Model is a viable model to reduce the amount of stored data and records and to curb electricity use for storage in organizations. This paper is the result of the first stage of a research project that is aimed at developing low power ICTs that will automatically appraise, select, preserve or permanently delete data based on their ‘value’. Such an ICT will automatically reduce storage capacity and reduce electricity consumption used for data storage. At the same time, data disposal will reduce overload caused by storing the same data in different formats, it will lower costs and it reduces the potential forliability.
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The development of the World Wide Web, the emergence of social media and Big Data have led to a rising amount of data. Infor¬mation and Communication Technol¬ogies (ICTs) affect the environment in various ways. Their energy consumption is growing exponentially, with and without the use of ‘green’ energy. Increasing envi¬ronmental aware¬ness has led to discussions on sustainable development. The data deluge makes it not only necessary to pay attention to the hard‑ and software di¬mensions of ICTs but also to the ‘value’ of the data stored. In this paper, we study the possibility to methodically reduce the amount of stored data and records in organizations based on the ‘value’ of informa¬tion, using the Green Archiving Model we have developed. Reducing the amount of data and records in organizations helps in allowing organizations to fight the data deluge and to realize the objectives of both Digital Archiving and Green IT. At the same time, methodi¬cally deleting data and records should reduce the con¬sumption of electricity for data storage. As a consequencs, the organizational cost for electricity use should be reduced. Our research showed that the model can be used to reduce [1] the amount of data (45 percent, using Archival Retention Levels and Retention Schedules) and [2] the electricity con¬sumption for data storage (resulting in a cost reduction of 35 percent). Our research indicates that the Green Ar¬chiving Model is a viable model to reduce the amount of stored data and records and to curb electricity use for storage in organi¬zations. This paper is the result of the first stage of a research project that is aimed at devel¬oping low power ICTs that will automa¬tically appraise, select, preserve or permanently delete data based on their ‘value’. Such an ICT will automatically reduce storage capacity and reduce electricity con¬sumption used for data storage. At the same time, data dispos¬al will reduce overload caused by storing the sa¬me data in different for¬mats, it will lower costs and it reduces the po¬tential for liability.
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Our approach is multi-actor and solution driven: • We study global problems with the people directly involved in those problems. • We study what those people do, how they do it, and how their practices can be improved. • This allows us to unpack global governance into more local practices of new and underrepresented actors, and • to develop new collaborative solutions to global problems through communities of practice • using research methods such as interviews, surveys, focus discussion groups, archival work, and citizen science
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In 2017, I introduced a new theoretical framework in Archival Science, that of the ‘Archive–as–Is’. This framework proposes a theoretical foundation for Enterprise Information Management (EIM) in World 2.0, the virtual, interactive, and hyper connected platform that is developing around us. This framework should allow EIM to end the existing ‘information chaos’, to computerize information management, to improve the organizational ability to reach business objectives, and to define business strategies. The concepts of records and archives are crucial for those endeavours. The framework of the ‘Archive–as–Is’ is an organization–oriented archival theory, consisting of five components, namely: [1] four dimensions of information, [2] two archival principles, [3] five requirements of information accessibility, [4] the information value chain; and [5] organizational behaviour. In this paper, the subject of research is component 5 of the framework: organizational behaviour. Behaviour of employees (including archivists) is one of the most complicated aspects within organizations when creating, processing, managing, and preserving information, records, and archives. There is an almost universal ‘sound of silence’ in scholarly literature from archival and information studies although this subject and its effects on information management are studied extensively in many other disciplines, like psychology, sociology, anthropology, and organization science. In this paper, I want to study how and why employees behave as they do when they are working with records and archives and how EIM is influenced by this behaviour.
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De dissertatie "Probing Futures, Acting Today" van Caroline Maessen onderzoekt hoe organisaties alternatieve toekomsten kunnen verbeelden om dagelijkse toekomstvormende praktijken te veranderen teneinde complexe maatschappelijke uitdagingen aan te pakken. Organisaties hebben de neiging door lineair denken hun verbeeldingsvermogen te beperken tot conventionele toekomsten, wat effectieve reacties op problemen zoals klimaatverandering en sociale ongelijkheid belemmert. Het gevolg is dat na de zoveelste heisessie voor visieontwikkeling, er nog steeds niets fundamenteel verandert. Hoe de toekomst zich ontvouwt, tegen de achtergrond van maatschappelijke complexe problemen, gaat vaak voorbij onze collectieve verbeeldingskracht. Organisaties hebben moeite om zich te verbinden met onconventionele toekomsten en acties in het heden daarop af te stemmen. Voor betekenisvolle verandering moeten organisaties navigeren tussen de aantrekkingskracht van inspirerende onconventionele toekomsten en de behoefte aan stabiliteit en controle. Maessen heeft in twee (semi) publieke organisaties onderzocht waarom dit zo lastig is en hoe organisaties daarin ondersteund kunnen worden.
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The article engages with the recent studies on multilevel regulation. The starting point for the argument is that contemporary multilevel regulation—as most other studies of (postnational) rulemaking—is limited in its analysis. The limitation concerns its monocentric approach that, in turn, deepens the social illegitimacy of contemporary multilevel regulation. The monocentric approach means that the study of multilevel regulation originates in the discussions on the foundation of modern States instead of returning to the origins of rules before the nation State was even created, which is where the actual social capital underlying (contemporary) rules can be found, or so I wish to argue. My aim in this article is to reframe the debate. I argue that we have an enormous reservoir of history, practices, and ideas ready to help us think through contemporary (social) legitimacy problems in multilevel regulation: namely all those practices which preceded the capture of law by the modern State system, such as historical alternative dispute resolution (ADR) practices.
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