key: cord-0767726-h1kvn4hy authors: Blair, Gordon S. title: A Tale of Two Cities: Reflections on Digital Technology and the Natural Environment date: 2020-08-14 journal: Patterns DOI: 10.1016/j.patter.2020.100068 sha: a8ec2064c6051151ca7301d323b6db558a0322c5 doc_id: 767726 cord_uid: h1kvn4hy Contemporary digital technologies can make a profound impact on our understanding of the natural environment in moving toward sustainable futures. Examples of such technologies included sources of new data (e.g., an environmental Internet of Things), the ability to storage and process the large datasets that will result from this (e.g., through cloud computing), and the potential of data science and AI to make sense of these data alongside human experts. However, these same trends pose a threat to sustainable futures through, for example, the carbon footprint of digital technology and the risks of this escalating through the very trends mentioned above. I have a curious relationship with digital technology. I am enthusiastic about computer technology, having been involved in computer science research since the early '80s. On the other hand, I am deeply concerned about the impact that digital technology has on society. When I think about this, I often find myself drawn to the marvelous words of Charles Dickens-his opening lines of a Tale of Two Cities (written in 1859): ''It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way.'' In this short opinion piece, I reflect more on this ''tale of two cities'' with particular reference on the impact of digital technology on the natural environment, drawing on my experiences as in my Engineering and Physical Sciences Research Council (EPSRC) Senior Fellowship, awarded in 2016, and examining the role of digital technology in understanding and managing environmental change. Starting on the positive side, I am a passionate and firm advocate for how digital technology can help us to better understand the natural environment. During my fellowship, the team has worked with a range of environmental scientists on problems as diverse as supporting a more data-driven approach to flood risk management, understanding the complexities associated with biodiversity loss, and seeking better modeling paradigms for understanding soils. Let us unpick one of these pieces of work-on flood risk management. Increased flooding is one of the most destructive consequences of climate change. Locally for us, flooding associated with Storm Desmond hit Lancashire and Cumbria hard and left 50,000 people without power, and the financial cost in Cumbria alone was estimated at £500 million. On a global scale, as reported by the United Nations (UN) in 2015, flooding impacted 2.3 billion people over a 20year period, and 157,000 people have died. 1 The challenges facing flood risk management practitioners are considerable as they make long-term decisions, e.g., about investments in flood defenses, with limited budgets. They have to deal with high levels of complexity and uncertainty and also increases in extreme events related to climate change. Traditionally, they would use a range of modeling tools for future projections, drawing on the rich tradition in process modeling in the area including global climate models, more local weather models, models related to catchment hydrology and inundation, and so on. Thanks to developments in digital technology, though, major changes are now anticipated, in particular related to the plethora of data becoming available (cf. big data)-from satellite imagery, from sensors deployed around catchments (cf. the Internet of Things), from detailed studies carried out by local authorities, from citizen science, and from mining data from the web. However, this is not without its challenges. We are moving toward having unprecedented amounts of data, but these data are highly heterogeneous and at different scales and accuracies. There is a danger that scientists and decision-makers may drown in this sea of data, and tools are urgently required to make sense of these complex data. 2 Importantly, there is also a critical need to integrate understanding from process models with insights and trends emerging from the data. At present, there is good understanding of process modeling albeit with significant open research questions, for example, in terms of integrated modeling across multiple processes or in terms of managing uncertainty in process modeling. There are also significant advances in understanding data, especially with recent research in the fields of data science and artificial ll OPEN ACCESS intelligence (AI). The real gap is how these two perspectives interact and inform each other. In the fellowship work, we looked at how digital technology can support a more data-driven approach to flood risk management. The key innovation was a cloud-based data hypercube, which achieved the desired level of integration of highly heterogeneous data from a variety of sources. This hypercube was implemented using semantic web technologies particularly related to linked data with the hypercube also used to store process model output, allowing integrated analyses across pro-cess models and other forms of data. We also investigated the use of data mining techniques based on machine learning to enhance the information available in the hypercube. Notebook technologies (cf. Jupityr notebooks) were then used to provide collaborative access to analyses and investigations of future scenarios. Looking more generally across our work, we claim digital technology can have a transformative impact on environmental sciences: On the left, we have several factors helping to reduce ICT emissions, starting with efficiency gains. For example, Moore's Law has been a huge factor in achieving efficiencies since the advent of computing (Moore's Law states that the number of transistors in an integrated circuit doubles every two years, leading to energy efficiencies). Complementing this, many sectors of the ICT industry are increasing the percentage of energy from renewables, with big strides being made in data centers but more difficult to achieve in the decentralized Internet. There are also important enablement arguments, which claim that advances in ICT result in lower emissions in other sectors; for example, video-conferencing reduces the need to travel-a significant factor during the current COVID-19 pandemic. On the opposite side, many observers argue that the period governed by Moore's Law is coming to an end. In addition, the effect of the Jevons Paradox is often overlooked. Empirical evidence has shown that in spite of 7 decades of energy efficiencies in ICT, the carbon footprint has steadily risen. This is a classic example of the paradox, whereby efficiency gains are swallowed up by increasing demand, e.g., by saving money from lower energy bills, there is an inclination to use this money elsewhere. This can apply within a sector (''local'' Jevons) or across sectors (''global'' Jevons), with the latter potentially reversing enablement gains. Finally, there is the large-scale investment and fast development of what are potentially power-hungry areas of innovation, including the Internet of Things, which will massively expand the number of devices worldwide, data centers and cloud computing fueled by the thirst for big data, and AI techniques used to analyze this big data, not forgetting the previously mentioned expansion in the use of blockchain. It is as yet unclear how this will unfold, but what is clear is that there is a significant risk that without intervention and/or regulation, the emissions associated with ICT could increase significantly at a time when they need to decrease. I finish with one graph produced by from our study (see Figure 2 ). This takes the most optimistic view of technology going forward from the various predictions considered in our study, assuming that GHG emissions remain stable at 2020 levels. The key point from this diagram is that, even with this optimistic projection, this is nowhere near enough to meet the Paris targets of achieving a 1.5 C warming, with the relative share of global emissions from ICT rising to more than a third of all emissions. Opinion global emissions. To put these numbers in context, the equivalent figure for the airline industry is around 2.5% (fuel only, although this is the dominant factor and ignores the added impacts of releasing GHGs higher in the atmosphere). The other dramatic factor about the ICT industry is the rate of innovation. Areas that were in their infancy a few years ago can suddenly emerge as very significant factors in the industry, e.g., consider blockchain, which has emerged from nowhere to add around 0.1% of global emissions. Bitcoin alone (one of the cryptocurrencies supported by blockchain) has a carbon footprint equivalent to the whole of Switzerland. But what of the future? Some researchers claim that the GHG emissions of ICT are starting to flatten out due to major efficiency gains in the sector, particularly for data centers. While this is partially true, e.g., with significant efficiency gains in hyperscale data centers, the broader picture is more nuanced, with various competing factors as visualized in Figure 1 . So how does this end? How do we resolve these two very different perspectives of technology going forward? The simple answer is that nobody knows, but our current times give cause for optimism. This opinion piece was written during the COVID-19 period, and this has given us a glimpse of nature recovering and the inherent resilience in nature that allows it to recover in spite of the anthropogenic impacts we have imposed. There is equally a belief that when we come out of this period, things must change, and we should build back better. There is a future where technology underpins a more sustainable society (and not just referring to environmental sustainability but all facets covered by the sustainability triple bottom line; that is, environmental, economic and social sustainability), and there is a future where technology sits in harmony with nature. That is a future well worth working toward. Returning to Dickens, it is intriguing to see how he finished his masterpiece. At one level, the book ends in tragedy with chaos all around and the major character, Sydney Carton, being beheaded. But the ending is actually one of hope and some would say resurrection as Dickens overlays the imaginary last words of Sydney Carton to include the well-known last line, ''It is a far, far better thing that I do, than I have ever done; it is a far, far better rest that I go to than I have ever known.'' ACKNOWLEDGMENTS This work is partially supported by the DT/LWEC Senior Fellowship (awarded to Blair) in the Role of Digital Technology in Understanding, Mitigating and Adapting to Environmental Change, EPSRC: EP/P002285/1 and by the greater Ensemble research program. The author would like to thank all members of the Ensemble team for providing such a creative and rewarding research culture and for feeding into the positives of what digital technology can bring to the natural environment. A big thank you also to Charlie Freitag, Mike Berners-Lee, Kelly Widdicks, Bran Knowles, and Adrian Friday for all the work we did together in understanding the carbon emissions of digital technologies now and into the future. The author's main affiliation is at the University of Lancaster. He also is a Visiting Professor at the University of Tromso in Norway and is a Research Fellow in UKCEH. Both are honorary positions. In addition, he is on the Expert Network advising UKRI 'Constructing the Digital Environment Research Programme, and again this is an honorary role. There are therefore no financial interests to declare. About the Author Gordon S. Blair is a Distinguished Professor of Distributed Systems at Lancaster University. His current research interests are in how digital technologies such as the Internet of Things, cloud computing, and data science can help environmental scientists to achieve a better understanding of the natural environment. He holds a 5-year EPSRC Senior Fellowship in Digital Technology and Living with Environmental Change and is co-director of the Centre of Excellence in Environmental Data Science (CEEDS), a joint initiative involving Lancaster University and the UK Centre for Ecology and Hydrology (UKCEH). He is also a member of the UKRI Digital Environment Expert Network. Centre for Research on the Epidemiology of Disasters and the United Nations Office for Disaster Risk Reduction Data science of the natural environment: a research roadmap From digital nature hybrids to digital naturalists: reviving nature connections through arts, technology and outdoor activities The energy and carbon footprint of the global ICT and E&M sectors On global electricity usage of communication technology: trends to 2030 Assessing ICT global emissions footprint: Trends to 2040 & recommendations