Tag: covid

Digital home working and its sustainability potential: human immobility and the mobilities of stuff

Posted on by janet.crompton

Despite the huge human and economic costs of the COVID pandemic, many commentators have observed that this disruption – or shock – to our resource-intensive daily lives could offer a catalyst for the great societal transformations necessary to meet the climate emergency.

Radical growth of home working is an oft-cited example. According to Office for National Statistics (ONS) figures 50% of those in employment did some work from home in April 2020. This mainstreaming of home working has been facilitated by the rapid appropriation of digital devices and services into our everyday lives. It has been accompanied by equally rapid development of cultural skills and competencies required to (collectively) use those devices and services in a satisfactory way. And has led to major adjustments in how we work but also how we shop, interact, use our homes, engage with our local communities, learn, care for others and so on.

Home working during the pandemic, March 2020 (image: Simon Evans on Flickr)

The question is whether these shifts could lead to systemic environmental gains. Is it an environmental ‘good’ or ‘bad’? As ever with academics, our answer is ‘it’s not straightforward…’, but when viewed from a systemic perspective it does offer an opportunity to re-imagine sustainable ways of life.

When considering the environmental impacts of any technology or practice, understanding will be shaped by the scope of the analysis: what is considered inside the system being studied and what is ignored. A narrow scope, focused only on the technological parts of the system, makes it more straightforward to quantify the results (such as a ‘carbon footprint’ of something) but means missing out the broader implications – such as how any technology interacts with diverse social practices. One approach to this problem is to consider different scopes for analysis that address the direct, indirect and systemic impacts of a technology. We apply this framing to home working to consider some possibilities.

Direct impacts are the environmental costs of constructing, using and disposing of a technology. Engineering methods, such as life cycle assessment (LCA) (or more colloquially, ‘carbon footprinting’) can be used to model the technology’s life cycle, systematically collect the relevant data and then apportion the ‘environmental burden’ to the different applications of that technology. In the case of digital home working, this will include the impacts of manufacturing the equipment used and providing the electricity to keep it operational: both the home laptops and Wi-Fi, but also a share of the networking equipment used to connect workers with their offices and each other, and the data centres used to power the applications they use. Accounting for this ‘hidden materiality’, and the large consumption of energy used by data centres, has led to some fearing that the impacts of digital home working are substantial. Applying University of Bristol models developed for digital services to video conferencing suggests that the truth is somewhere between the two. A ballpark estimate for the climate impact of a one-hour video conference, for example, would be about 50-100g CO2e depending on the setup used – roughly equivalent to driving 400-800m in a typical family car. This suggests that we should not let concerns about the direct environmental impact of digital services put us off a move to home working.

Indirect impacts are the environmental costs of changing social practices related to the digital service. What do people stop doing? What do they start doing? Again, LCA can be used to quantify these – but only if one understands the nature of these changes. Social science insights are essential here, both to identify what changes to practice might occur, and to collect the data to quantify the extent to which they change across diverse populations.

In the case of home working, the most obvious changes to practice are reduction in travel to work and decreases in energy use within workplaces. These two factors will potentially be substantially larger than the direct impacts of technology use – but will be more variable and harder to predict across the population. Reductions in heating and lighting in the workplace were, it would appear, largely offset by rises of domestic energy use (Hook et al., 2020). The most dramatic potential environmental savings are from the sharp reduction in commuting, with the Department for Transport reporting a 60% reduction in private car usage during 2020 and a 90% decline in the use of public transport. But even here we must consider a range of related indirect effects of the apparent immobility of people. During the same period, we witnessed a huge increase in online shopping as people ordered their goods for home delivery. The ONS shows that online retail sales increased from just under 19% of total retail sales in November 2019 to almost 40% within a year. Groceries, clothing, household products and takeaway foods saw the largest growth.

The digital devices and services that allowed us to adapt so quickly to conditions of apparent human immobility also offered the technological affordances and cultural skills necessary for a commensurate growth in the circulation of goods, ordered online and delivered (often as individual items) to the homes of the immobile. Measuring these effects – especially if trying to capture the relative weighting of a trip to the shopping mall to purchase multiple items versus delivery of multiple individual items purchased online – would be necessary to estimate indirect impacts.

Systemic impacts consist of a huge range of elements that shape, and are shaped by, technologies and social practices. In the case of home working, we pick out three core elements: infrastructures, cultures, and modes of provision. To consider the impact and potential of home working we need to recognise the changing home to include the re-purposing of space for home offices and the technologies required, from the high tech (digital devices and networks) to the low tech (desks and storage). Local communities are also changing, and development of local service infrastructures to support mass home working (for example, the re-invention of the local high street) together with a corresponding decline of city-based office infrastructures will be required if home working is to be viable over the longer term. Each of these changes come with their own direct and indirect environmental impacts.

Cultural shifts must also be considered. Workplace cultures of presenteeism, long working hours, the status of private offices, and daily meetings are all challenged by home-working regimes. In addition, the rising use of digital platforms shows signs of fostering modes of provision through informal networks (such as familial and community based) that have, in recent history, been marginalised by the dominance of market modes of provision. Community sharing initiatives (such as food box schemes, local delivery hubs, community stores) coupled with the accumulating practical challenges of privately owned goods (as symbolised by the increasing percentage of domestic space devoted to storing seldomly used consumer goods and the decreasing use of expensive private cars) have been argued to indicate a shift towards collaborative consumption: the rejection of privately owned goods in favour of sharing (Southerton and Warde, forthcoming). While the direct and indirect environmental impacts of such systemic shifts are unknown, the potential to reduce the material flows of goods and reduce the impacts of human mobility are clear.

Thinking in terms of the systemic implications of home working – symbolised by the immobility of people and rising mobility of goods during COVID – is more important than only measuring direct and indirect impacts. As things stand, we are moving in the direction of ‘hybrid’ working, presumably on the grounds of a ‘best of both worlds’ assumption. From a systems level perspective there is a huge risk that we end up with two systems: workplaces and home working. Whether this ends up being the worst of both worlds, layering new resource-efficient systems over old resource-intensive systems, will largely depend on whether debates regarding the post-COVID world takes the opportunity to re-imagine and re-configure the systemic impacts of technology and human practice on the environment (Geels et al., 2015).

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This blog is written by Chris Preist, Professor of Sustainability and Computer Systems at the University of Bristol. His research focuses on the environmental impact of digital technology and consumer electronic goods; and Dale Southerton, Professor in Sociology of Consumption and Organisation at the University of Bristol. He studies consumption, its role in organising everyday lives and its significance in processes of societal change.

Life after COVID: most people don’t want a return to normal – they want a fairer, more sustainable future

Posted on by janet.crompton
Jacob Lund/Shutterstock

We are in a crisis now – and omicron has made it harder to imagine the pandemic ending. But it will not last forever. When the COVID outbreak is over, what do we want the world to look like?

In the early stages of the pandemic – from March to July 2020 – a rapid return to normal was on everyone’s lips, reflecting the hope that the virus might be quickly brought under control. Since then, alternative slogans such as “build back better” have also become prominent, promising a brighter, more equitable, more sustainable future based on significant or even radical change.

Returning to how things were, or moving on to something new – these are very different desires. But which is it that people want? In our recent research, we aimed to find out.

Along with Keri Facer of the University of Bristol, we conducted two studies, one in the summer of 2020 and another a year later. In these, we presented participants – a representative sample of 400 people from the UK and 600 from the US – with four possible futures, sketched in the table below. We designed these based on possible outcomes of the pandemic published in early 2020 in The Atlantic and The Conversation.

We were concerned with two aspects of the future: whether it would involve a “return to normal” or a progressive move to “build back better”, and whether it would concentrate power in the hands of government or return power to individuals.

Four possible futures

Back to normal – strong government
“Collective safety”

    • We don’t want any big changes to how the world works.
    • We are happy for the government to keep its powers to keep us safe and get back on economic track.

 

 Back to normal – individual autonomy
“For freedom”

  • We don’t want any big changes to how the world works; our priority is business as usual and safety.
  • We want to take back from governments the powers they have claimed to limit our movements and monitor our data and behaviour.
Progressive – strong government
“Fairer future”

  • What we want is for governments to take strong action to deal with economic unfairness and the problem of climate change.
  • We are happy for the government to keep its powers if it protects economic fairness, health and the environment.
 Progressive – individual autonomy
“Grassroots leadership”

  • What we want is for communities, not governments, to work together to build a fair and environmentally friendly world.
  • We want to take back from governments the powers they have claimed to limit our movements and monitor our data and behaviour.

In both studies and in both countries, we found that people strongly preferred a progressive future over a return to normal. They also tended to prefer individual autonomy over strong government. On balance, across both experiments and both countries, the “grassroots leadership” proposal appeared to be most popular.

People’s political leanings affected preferences – those on the political right preferred a return to normal more than those on the left – yet intriguingly, strong opposition to a progressive future was quite limited, even among people on the right. This is encouraging because it suggests that opposition to “building back better” may be limited.

Our findings are consistent with other recent research, which suggests that even conservative voters want the environment to be at the heart of post-COVID economic reconstruction in the UK.

The misperceptions of the majority

This is what people wanted to happen – but how did they think things actually would end up? In both countries, participants felt that a return to normal was more likely than moving towards a progressive future. They also felt it was more likely that government would retain its power than return it to the people.

In other words, people thought they were unlikely to get the future they wanted. People want a progressive future but fear that they’ll get a return to normal with power vested in the government.

We also asked people to tell us what they thought others wanted. It turned out our participants thought that others wanted a return to normal much more than they actually did. This was observed in both the US and UK in both 2020 and 2021, though to varying extents.

This striking divergence between what people actually want, what they expect to get and what they think others want is what’s known as “pluralistic ignorance”.

This describes any situation where people who are in the majority think they are in the minority. Pluralistic ignorance can have problematic consequences because in the long run people often shift their attitudes towards what they perceive to be the prevailing norm. If people misperceive the norm, they may change their attitudes towards a minority opinion, rather than the minority adapting to the majority. This can be a problem if that minority opinion is a negative one – such as being opposed to vaccination, for example.

In our case, a consequence of pluralistic ignorance may be that a return to normal will become more acceptable in future, not because most people ever desired this outcome, but because they felt it was inevitable and that most others wanted it.

Two people talking on a bench
We think we know what other people think – but often we’re wrong.
dekazigzag/Shutterstock

Ultimately, this would mean that the actual preferences of the majority never find the political expression that, in a democracy, they deserve.

To counter pluralistic ignorance, we should therefore try to ensure that people know the public’s opinion. This is not merely a necessary countermeasure to pluralistic ignorance and its adverse consequences – people’s motivation also generally increases when they feel their preferences and goals are shared by others. Therefore, simply informing people that there’s a social consensus for a progressive future could be what unleashes the motivation needed to achieve it.The Conversation

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This blog is written by Caboteer Professor Stephan Lewandowsky, Chair of Cognitive Psychology, University of Bristol and Ullrich Ecker, Professor of Cognitive Psychology and Australian Research Council Future Fellow, The University of Western Australia

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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