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What is the resource footprint of a computer science department? Place, People and Pedagogy

Mian, I.S; Twisleton, D.; Timm, D.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.884492", 
  "title": "What is the resource footprint of a computer science department? Place, People and Pedagogy", 
  "issued": {
    "date-parts": [
      [
        2017, 
        9, 
        4
      ]
    ]
  }, 
  "abstract": "<p>Our goal is formulating policies and developing guidelines that create a more resilient and healthier Department of Computer Science at University College London: a living laboratory for teaching and learning about resource constrained computing, computation and communication. Here, we outline a roadmap and propose high-level principles to aid this effort. We focus on how, when and where resources \u2013 energy, (raw) materials including water, space and time \u2013 are consumed by the building (place), its occupants (people) and their activities (pedagogy). We describe practical difficulties associated with identifying, acquiring and analysing relevant data. Beyond technical challenges, we find a need to rematerialise the information society: to reveal the full costs of Internet and Communication Technology and electrical and electronic equipment by, for example, undertaking life cycle analyses of end-user paraphernalia such as smartphones and demonstrating the corporeal nature of seemingly immaterial entities such as the \u201ccloud.\u201d We outline routes to realising three interlinked aims: cap the power consumed and greenhouse gas emitted per person per year, become a zero waste institution, and rejuvenate and (re)integrate the natural and built environments. We propose two maxims to aid policy making and guideline preparation: resource use needs to be minimised and minimal (reduced in relative as well as absolute terms), and responsible research and innovation encompasses decreasing the Department\u2019s resource footprint and considering non-technological solutions to complex real-world problems. Keywords: resource footprint; energy; water; internet and communication technology; electrical and electronic equipment; e-waste; resource constrained computing, computation and communication; rematerialise the information society.\u00a0</p>", 
  "author": [
    {
      "family": "Mian, I.S"
    }, 
    {
      "family": "Twisleton, D."
    }, 
    {
      "family": "Timm, D."
    }
  ], 
  "id": "884492", 
  "event-place": "London", 
  "type": "article", 
  "event": "Data for Policy 2017: Government by Algorithm? (Data for Policy)"
}
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