Category Archives: AI

Digital-political-economy in a post-Covid-19 world: implications for the most marginalised

Now is the time to be thinking seriously about the kind of world that we wish to live in once Covid-19 has finished its rampage across Europe and North America.[i] Although its potential direct health impact in Africa and South Asia remains uncertain at the time of writing, countries within these continents have already seen dramatic disruption and much hardship as well as numerous deaths having been caused by the measures introduced by governments to restrict its spread.  It is already clear that it is the poorest and most marginalised who suffer most, as witnessed, for example, by the impact of Modi’s lockdown in India on migrant workers.[ii]

This post highlights five likely global impacts that will be hastened by Covid-19, and argues that we need to use this disruption constructively to shape a better world in the future, rather than succumb to the potential and substantial damage that will be caused, especially to the lives of the world’s poorest and most marginalised.  It may be that for many countries in the world, the impact of Covid-19 will be even more significant than was the impact of the 1939-45 war.  Digital technologies are above all accelerators, and most of those leading the world’s major global corporations are already taking full advantage of Covid-19 to increase their reach and their profits.[iii]

The inexorable rise of China and the demise of the USA

http://hiram1555.com/2016/10/21/presidential-debates-indicate-end-of-us-empire-analyst/

Source: Hiram1555.com

I have written previously about the waxing of China and the waning of the USA; China is the global political-economic powerhouse of the present, not just of the future.[iv]  One very significant impact of Covid-19 will be to increase the speed of this major shift in global power.  Just as 1945 saw the beginning of the final end of the British Empire, so 2020 is likely to see the beginning of the end of the USA as the dominant global (imperial) power.  Already, even in influential USAn publications, there is now much more frequent support for the view that the US is a failing state.[v] This transition is likely to be painful, and it will require world leaders of great wisdom to ensure that it is less violent than may well be the case.

The differences between the ways in which the USA and China have responded to Covid-19 have been marked, and have very significant implications for the political, social and economic futures of these states.  Whilst little trust should be placed on the precise accuracy of reported Covid-19 mortality rate figures throughout the world, China has so far reported a loss of 3.2 people per million to the disease (as of 17 April, and thus including the 1290 uplift announced that day), whereas the USA has reported deaths of 8.38 per 100,000 (as of that date); moreover, China’s figures seem to have stabilised, whereas those for the USA continue to increase rapidly.[vi]  These differences are not only very significant in human terms, but they also reflect a fundamental challenge in the relative significance of the individual and the community in US and Chinese society.

Few apart from hardline Republicans in the USA now doubt the failure of the Trump regime politically, socially, economically and culturally. This has been exacerbated by the US government’s failure to manage Covid-19 effectively (even worse than the UK government’s performance), and its insistent antagonism towards China through its deeply problematic trade-war[vii] even before the outbreak of the present coronavirus. Anti-Chinese rhetoric in the USA is but a symptom of the realisation of the country’s fundamental economic and policial weaknesses in the 21st century.   President Trump’s persistent use of the term “Chinese virus” instead of Covid-19[viii] is also just a symptom of a far deeper malaise.   Trump is sadly not the problem; the problem is the people and system that enabled him to come to power and in whose interests he is trying to serve (alongside his own).  China seems likely to come out of the Covid-19 crisis much stronger than will the USA.[ix]

Whether people like it or not, and despite cries from the western bourgeoisie that it is unfair, and that the Chinese have lied about the extent of Covid-19 in their own country in its early stages, this is the reality.  China is the dominant world power today, let alone tomorrow.

An ever more digital world

https://www.forbes.com/sites/columbiabusinessschool/2020/04/21/how-covid-19-will-accelerate-a-digital-therapeutics-revolution/

Source: Forbes.com

The digital technology sector is already the biggest winner from Covid-19.  Everyone with access, knowledge and ability to pay for connectivity and digital devices has turned to digital technologies to continue with their work, maintain social contacts, and find entertainment during the lockdowns that have covered about one-third of the world’s population by mid-April.[x]  Those who previously rarely used such technologies, have overnight been forced to use them for everything from buying food online, to maintaining contacts with relatives and friends.

There is little evidence that the tech sector was prepared for such a windfall in the latter part of 2019,[xi] but major corporations and start-ups alike have all sought to exploit its benefits as quickly as possible in the first few months of 2020, as testified by the plethora of announcements claiming how various technologies can win the fight against Covid-19.[xii]

One particularly problematic outcome has been the way in which digital tech champions and activists have all sought to develop new solutions to combat Covid-19.  While sometimes this is indeed well intended, more often than not it is primarily so that they can benefit from funding that is made available for such activities by governments and donors, or primarily to raise the individual or corporate profile of those involved.  For them, Covid-19 is a wonderful business opportunity.  Sadly, many such initiatives will fail to deliver appropriate solutions, will be implemented after Covid-19 has dissipated, and on some occasions will even do more harm than good.[xiii]

There are many paradoxes and tensions in this dramatically increased role of digital technology after Covid-19. Two are of particular interest.  First, many people who are self-isolating or social distancing are beginning to crave real, physical human contact, and are realising that communicating only over the Internet is insufficiently fulfilling.  This might offer some hope for the future of those who still believe in the importance of non-digitally mediated human interaction, although I suspect that such concerns may only temporarily delay our demise into a world of cyborgs.[xiv] Second, despite the ultimate decline in the US economy and political power noted above, US corporations have been very well placed to benefit from the immediate impact of Covid-19, featuring in prominent initiatives such as UNESCO’s Global Education Coalition,[xv] or the coalition of pharmaceutical companies brought together by the Gates Foundation.[xvi]

Whatever the precise details, it is an absolute certainty that the dominance of digital technologies in everyone’s lives will increase very dramatically following Covid-19 and this will be exploited by those intent on reaping the profits from such expansion in their own interests.

Increasing acceptance of surveillance by states and companies: the end of privacy as we know it.

https://www.wired.com/story/phones-track-spread-covid19-good-idea/

Source: Wired.com

A third, related, global impact of Covid-19 will be widely increased global acceptance of the roles of states and companies in digital surveillance.  Already, before 2020, there was a growing, albeit insufficient, debate about the ethics of digital surveillance by states over issues such as crime and “terrorism”, and its implications for privacy.[xvii]  However, some states, such as China, South Korea, Singapore and Israel, have already used digital technologies and big data analytics extensively and apparently successfully in monitoring and tracking the spread of Covid-19,[xviii] and other coalitions of states and the private sector are planning to encourage citizens to sign up to having fundamental aspects of what has previously been considered to be their private and personal health information made available to unknown others.[xix]

One problem with such technologies is that they require substantial numbers of people to sign up to and then use them.  In more authoritarian states where governments can make such adherence obligatory by imposing severe penalties for failure to do so, they do indeed appear to be able to contribute to reduction in the spread of Covid-19 in the interests of the wider community.  However, in more liberal democratic societies, which place the individual about the community in importance, it seems less likely that they will be acceptable.

Despite such concerns, the growing evidence promoted by the companies that are developing them that such digital technologies can indeed contribute to enhanced public health will serve as an important factor in breaking down public resistance to the use of surveillance technologies and big data analytics.  Once again, this will ultimately serve the interest of those who already have greater political and economic power than it will the interests of the most marginalised.

Online shopping and the redesign of urban centres.

https://www.independent.co.uk/life-style/health-and-families/coronavirus-herd-immunity-meaning-definition-what-vaccine-immune-covid-19-a9397871.html

Source: Independent.co.uk

Self-isolation and social distancing have led to the dramatic emptying of towns and cities across the world.  Businesses that have been unable to adapt to online trading have overnight been pushed into a critical survival situation, with governments in many of the richer countries of the world being “forced” to offer them financial bail-outs to help them weather the storm.  Unfortunately, most of this money is going to be completely wasted and will merely create huge national debts for years into the future.  People who rarely before used online shopping are now doing so because they believe that no other method of purchasing goods is truly safe.

The new reality will be that most people will have become so used to online shopping that they are unlikely to return in the future to traditional shopping outlets. Companies that have been unable to adjust to the new reality will fail.  The character of our inner-city areas will change beyond recognition.  This is a huge opportunity for the re-design of urban areas in creative, safe and innovative ways.  Already, the environmental impact of a reduction in transport and pollution has been widely seen; wildlife is enjoying a bonanza; people are realising that their old working and socialising patterns may not have been as good as they once thought.[xx]  Unfortunately, it is likely that this opportunity may not be fully grasped, and instead governments that lack leadership and vision will instead seek to prop up backward-looking institutions, companies and organisations, intent on preserving infrastructure and economic activities that are unfit for purpose in the post-pandemic world.  Such a mentality will lead to urban decay and ghettoization, where people will fear to tread, and there is a real danger of a downward spiral of urban deprivation.

There are, though, many bright signs of innovation and creativity for those willing to do things differently.  Shops and restaurants that have been able to find efficient trustworthy drivers are now offering new delivery services; students are able to draw on the plethora of online courses now available; new forms of communal activity are flourishing; and most companies are realising that they don’t actually need to spend money on huge office spaces, but can exploit their labour even more effectively by enabling them to work from home.

We must see the changes brought about by responses to Covid-19 as important opportunities to build for the future, and to create human-centred urban places that are also sensitive to the natural environments in which they are located.

Increasing global inequalities

https://gulfnews.com/photos/news/indian-migrants-forced-to-walk-home-amid-covid-19-lockdown-1.1585394226024?slide=2

Source: Gulfnews.com

The net outcome of the above four trends will lead inexorably to a fifth, and deeply concerning issue: the world will become an even more unequal place, where those who can adapt and survive will flourish, but where the most vulnerable and marginalised will become even more immiserated.

This is already all too visible.  Migrant workers are being ostracised, and further marginalised.[xxi]  In India, tens of thousands of labourers are reported to have left the cities, many of them walking home hundreds of kilometres to their villages.[xxii] In China, Africans are reported as being subjected to racist prejudice, being refused service in shops and evicted from their residences.[xxiii]  In the UK, many food banks have had to close and it is reported that about 1.5. million people a day are going without food.[xxiv]  The World Bank is reporting that an extra 40-50 million people across the world will be forced into poverty by Covid-19, especially in Africa.[xxv]  People with disabilities have become even more forgotten and isolated.[xxvi]  The list of immediate crises grows by the day.

More worrying still is that there is no certainty that these short-term impacts will immediately bounce-back once the pandemic has passed.  It seems at least as likely that many of the changes will have become so entrenched that aspects of living under Covid-19 will become the new norm.  Once again, those able to benefit from the changes will flourish, but the uneducated, those with disabilities, the ethnic minorities, people living in isolated areas, refugees, and women in patriarchal societies are all likely to find life much tougher in 2021 and 2022 even than they do at present.   Much of this rising inequality is being caused, as noted above, by the increasing role that digital technologies are playing in people’s lives.  Those who have access and can afford to use the Internet can use it for shopping, employment, entertainment, learning, and indeed most aspects of their lives.  Yet only 59% of the world’s population are active Internet users.[xxvii]

Looking positively to the future.

People will respond in different ways to these likely trends over the next few years, but we will all need to learn to live together in a world where:

  • China is the global political economic power,
  • Our lives will become ever more rapidly experienced and mediated through digital technology,
  • Our traditional views of privacy are replaced by a world of surveillance,
  • Our towns and cities have completely different functions and designs, and
  • There is very much greater inequality in terms of opportunities and life experiences.

In dealing with these changes, it is essential to remain positive; to see Covid-19 as an opportunity to make the world a better place for everyone to live in, rather than just as a threat of further pain, misery and death, or an opportunity for a few to gain unexpected windfall opportunities to become even richer.  Six elements would seem to be important in seeking to ensure that as many people as possible can indeed flourish once the immediate Covid-19 pandemic has dissipated:

  • First, these predictions should encourage all of us to prioritise more on enhancing the lives of the poorest and the most marginalised, than on ensuring economic growth that mainly benefits the rich and privileged. This applies at all scales, from designing national health and education services, to providing local, community level care provision.
  • This requires an increased focus on negotiating communal oriented initiatives and activities rather than letting the greed and selfishness of individualism continue to rule the roost.
  • Third, it is essential that we use this as an opportunity to regain our physical sentient humanity, and reject the aspirations of those who wish to create a world that is only experienced and mediated through digital technology. We need to regain our very real experiences of each other and the world in which we live through our tastes, smells, the sounds we hear, the touches we feel, and the sights we see.
  • Fourth, it seems incredibly important that we create a new global political order safely to manage a world in which China replaces the USA as the dominant global power. The emergence of new political counterbalances, at a regional level as with Europe, South Asia, Africa and Latin America seems to be a very important objective that remains to be realised.  Small states that choose to remain isolated, however arrogant they are about the “Great”ness of their country, will become ever more vulnerable to the vagaries of economic, political and demographic crisis.
  • Fifth, we need to capitalise on the environmental impact of Covid-19 rapidly to shape a world of which we are but a part, and in which we care for and co-operate with the rich diversity of plant and animal life that enjoys the physical richness of our planet. This will require a comprehensive and rigorous evaluation of the harm caused to our world by the design and use of digital technologies.[xxviii]
  • Finally, we need to agree communally on the extent to which individual privacy matters, and whether we are happy to live in a world of omnipresent surveillance by companies (enabling them to reap huge profits from our selves as data) and governments (to maintain their positions of power, authority and dominance). This must not be imposed on us by powerful others.  It is of paramount importance that there is widespread informed public and communal discussion about the future of surveillance in a post-Covid-19 era.

I trust that these comments will serve to provoke and challenge much accepted dogma and practice.  Above all, let’s try to think of others more than we do ourselves, let’s promote the reduction of inequality over increases in economic growth, and let’s enjoy  an integral, real and care-filled engagement with the non-human natural world.


Notes:

[i] For current figures see https://coronavirus.thebaselab.com/ and https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6, although all data related with this coronavirus must be treated with great caution; see https://unwin.wordpress.com/2020/04/11/data-and-the-scandal-of-the-uks-covid-19-survival-rate/

[ii] Modi’s hasty coronavirus lockdown of India leaves many fearful for what comes next, https://time.com/5812394/india-coronavirus-lockdown-modi/

[iii] Jack Dorsey, the founder of Twitter and Square, might well be an exception with his $1 billion donation to support Covid-19 relief and other charities; see https://www.theverge.com/2020/4/7/21212766/jack-dorsey-coronavirus-covid-19-donate-relief-fund-square-twitter

[iv] See, for example, discussion in Unwin, T. (2017) Reclaiming ICT4D, Oxford: Oxford University Press.  I appreciate that such arguments infuriate many people living in the USA,

[v] See, for example, George Parker’s, We Are Living in a Failed State: The coronavirus didn’t break America. It revealed what was already broken, The Atlantic, June 2020 (preview) https://www.theatlantic.com/magazine/archive/2020/06/underlying-conditions/610261/.

[vi] Based on figures from https://coronavirus.thebaselab.com/ on 15th April 2020.  For comparison, Spain had 39.74 reported deaths per 100,000, Italy 35.80, and the UK 18.96.

[vii] There are many commentaries on this, but The Wall Street Journal’s account on 9 February 2020 https://www.wsj.com/articles/u-s-china-trade-war-reshaped-global-commerce-11581244201 is useful, as is the Pietersen Institute’s timeline https://www.piie.com/blogs/trade-investment-policy-watch/trump-trade-war-china-date-guide.

[viii] For a good account of his use of language see Eren Orbey’s comment in The New Yorker, Trump’s “Chinese virus” and what’s at stake in the coronovirus’s name,  https://www.newyorker.com/culture/cultural-comment/whats-at-stake-in-a-viruss-name

[ix] China’s massive long-term strategic investments across the world, not least through its 一带一路 (Belt and Road) initiative, have placed it in an extremely strong position to reap the benefits of its revitalised economy from 2021 onwards (for a good summary of this initiative written in January 2020 see https://www.cfr.org/backgrounder/chinas-massive-belt-and-road-initiative)

[x] Kaplan, J., Frias, L. and McFall-Johnsen, M., A third of the global population is on coronavirus lockdown…, https://www.businessinsider.com/countries-on-lockdown-coronavirus-italy-2020-3?r=DE&IR=T

[xi] This is despite conspiracy theorists arguing that those who were going to gain most from Covid-19 especially in the digital tech and pharmaceutical industry had been active in promoting global fear of the coronavirus, or worse still had actually engineered it for their advantage.  See, for example, The New York Times, https://www.nytimes.com/2020/04/17/technology/bill-gates-virus-conspiracy-theories.html, or Thomas Ricker, Bill Gates is now the leading target for Coronavirus falsehoods, says report, https://www.theverge.com/2020/4/17/21224728/bill-gates-coronavirus-lies-5g-covid-19 .

[xii] See, for example, Shah, H. and Kumar, K., Ten digital technologies helping humans in the fight against Covid-19, Frost and Sullivan, https://ww2.frost.com/frost-perspectives/ten-digital-technologies-helping-humans-in-the-fight-against-covid-19/, Gergios Petropolous, Artificial interlligence in the fight against COVID-19, Bruegel, https://www.bruegel.org/2020/03/artificial-intelligence-in-the-fight-against-covid-19/, or Beech, P., These new gadgets were designed to fight COVID-19, World Economic Forum, https://www.weforum.org/agenda/2020/04/coronavirus-covid19-pandemic-gadgets-innovation-technology/. It is also important to note that the notion of “fighting” the coronavirus is also deeply problematic.

[xiii] For my much more detailed analysis of these issues, see Tim Unwin (26 March 2020), collaboration-and-competition-in-covid-19-response, https://unwin.wordpress.com/2020/03/26/collaboration-and-competition-in-covid-19-response/

[xiv] For more on this see Tim Unwin (2017) Reclaiming ICT4D, Oxford: Oxford University Press, and for a brief comment https://unwin.wordpress.com/2016/08/03/dehumanization-cyborgs-and-the-internet-of-things/.

[xv] Although, significantly, Chinese companies are also involved; see https://en.unesco.org/covid19/educationresponse/globalcoalition

[xvi] For the work of the Gates Foundation and US pharmaceutical companies in fighting Covid-19 https://www.outsourcing-pharma.com/Article/2020/03/27/Bill-Gates-big-pharma-collaborate-on-COVID-19-treatments

[xvii] There is a huge literature, both academic and policy related, on this, but see for example OCHCR (2014) Online mass-surveillance: “Protect right to privacy even when countering terrorism” – UN expert, https://www.ohchr.org/SP/NewsEvents/Pages/DisplayNews.aspx?NewsID=15200&LangID=E; Privacy International, Scrutinising the global counter-terrorism agenda, https://privacyinternational.org/campaigns/scrutinising-global-counter-terrorism-agenda; Simon Hale-Ross (2018) Digital Privacy, Terrorism and Law Enforcement: the UK’s Response to Terrorist Communication, London: Routledge; and Lomas, N. (2020) Mass surveillance for national security does conflict with EU privacy rights, court advisor suggests, TechCrunch, https://techcrunch.com/2020/01/15/mass-surveillance-for-national-security-does-conflict-with-eu-privacy-rights-court-advisor-suggests/.

[xviii] Kharpal, A. (26 March 2020) Use of surveillance to fight coronavirus raised c oncenrs about government power after pandemic ends, CNBC, https://www.cnbc.com/2020/03/27/coronavirus-surveillance-used-by-governments-to-fight-pandemic-privacy-concerns.html; but see also more critical comments about the efficacy of such systems as by Vaughan, A. (17 April 2020) There are many reasons why Covid-19 contact-tracing apps may not work, NewScientist, https://www.newscientist.com/article/2241041-there-are-many-reasons-why-covid-19-contact-tracing-apps-may-not-work/

[xix] There are widely differing views as to the ethics of this.  See, for example, Article 19 (2 April 2020) Coronavirus: states use of digital surveillance technologies to fight pandemic must respect human rights, https://www.article19.org/resources/covid-19-states-use-of-digital-surveillance-technologies-to-fight-pandemic-must-respect-human-rights/ ; McDonald, S. (30 March 2020) The digital response to the outbreak of Covid-19, https://www.cigionline.org/articles/digital-response-outbreak-covid-19. See also useful piece by Arcila (2020) for ICT4Peace on “A human-centric framework to evaluate the risks raised by contact-tracing applications” https://mcusercontent.com/e58ea7be12fb998fa30bac7ac/files/07a9cd66-0689-44ff-8c4f-6251508e1e48/Beatriz_Botero_A_Human_Rights_Centric_Framework_to_Evaluate_the_Security_Risks_Raised_by_Contact_Tracing_Applications_FINAL_BUA_6.pdf.pdf

[xx] See, for example, https://www.bbc.com/future/article/20200326-covid-19-the-impact-of-coronavirus-on-the-environment, https://www.msn.com/en-gb/news/world/the-environmental-impact-of-covid-19/ss-BB11JxGv?li=BBoPWjQ, https://www.theguardian.com/world/2020/mar/26/life-after-coronavirus-pandemic-change-world, and https://www.scientificamerican.com/article/how-the-coronavirus-pandemic-is-affecting-co2-emissions/.

[xxi] See The Guardian (23 April 2020) ‘We’re in a prison’: Singapore’s million migrant workers suffer as Covid-19 surges back, https://www.theguardian.com/world/2020/apr/23/singapore-million-migrant-workers-suffer-as-covid-19-surges-back

[xxii] Al Jazeera (6 April 2020) India: Coronavirus lockdown sees exodus from cities, https://www.aljazeera.com/programmes/newsfeed/2020/04/india-coronavirus-lockdown-sees-exodus-cities-200406104405477.html.

[xxiii] Financial Times (13th April) China-Africa relations rocked by alleged racism over Covid-19, https://www.ft.com/content/48f199b0-9054-4ab6-aaad-a326163c9285

[xxiv] Global Citizen (22 April 2020) Covid-19 Lockdowns are sparking a hunger crisis in the UK, https://www.globalcitizen.org/en/content/covid-19-food-poverty-rising-in-uk/

[xxv] Mahler, D.G., Lakner, C., Aguilar, R.A.C. and Wu, H. (20 April 2020) The impact of Covid-19 (Coronavirus) on global poverty: why Sub-Saharan Africa might be the region hardest hit, World Bank Blogs, https://blogs.worldbank.org/opendata/impact-covid-19-coronavirus-global-poverty-why-sub-saharan-africa-might-be-region-hardest

[xxvi] Bridging the Gap (2020) The impact of Covid-19 on persons with disabilities, https://bridgingthegap-project.eu/the-impact-of-covid-19-on-people-with-disabilities/

[xxvii] Statista (Januarv 2020) https://www.statista.com/statistics/269329/penetration-rate-of-the-internet-by-region/

[xxviii] For a wider discussion of the negative environmental impacts of climate change see https://unwin.wordpress.com/2020/01/16/digital-technologies-and-climate-change/.

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Filed under Africa, AI, Asia, capitalism, China, Climate change, Commonwealth, Covid-19, cybersecurity, Development, digital technologies, Disability, Education, Empowerment, Environment, Europe, Gender, Geography, ICT4D, ICTs, inclusion, India, Inequality, Internet, Latin America, Learning, poverty, Restaurants, Rural, SDGs, Sustainability, UK, United Nations

Collaboration and competition in Covid-19 response

A week ago, I wrote a post about the potential of crowdsourcing and the use of hashtags for gathering enhanced data on infection rates for Covid-19.  Things have moved rapidly since then as companies, civil society organisations, international organisations, academics and donors have all developed countless initiatives to try to respond.  Many of these initiatives seem to be more about the profile and profits of the organisations/entities involved than they do about making a real impact on the lives of those who will suffer most from Covid-19.  Yesterday, I wrote another post on my fears that donors and governments will waste huge amounts of money, time and effort on Covid-19 to little avail, since they have not yet learnt the lessons of past failures.

I still believe that crowdsourcing could have the potential, along with many other ways of gathering data, to enhance decision making at this critical time. However the dramatic increase in the number of such initiatives gives rise to huge concern.  Let us learn from past experience in the use of digital technologies in development, and work together in the interests of those who are likely to suffer the most.  Eight issues are paramount when designing a digital tech intervention to help reduce the impact of Covid-19, especially through crowdsourcing type initiatives:

  • Don’t duplicate what others are already doing
  • Treat privacy and security very carefully
  • Don’t detract from official and (hopefully) accurate information
  • Keep it simple
  • Ask questions that will be helpful to those trying to respond to the pandemic
  • Ensure that there are at least some questions that are the same in all surveys if there are multiple initiatives being done by different organisations
  • Work with a globally agreed set of terminology and hashtags (#)
  • Collaborate and share

Don’t duplicate what others are already doing

As the very partial list of recent initiatives at the end of this post indicates, many crowdsourcing projects have been created across the world to gather data from people about infections and behaviours relating to Covid-19.  Most of these are well-intentioned, although there will also be those that are using such means unscrupulously also to gather data for other purposes.  Many of these initiatives ask very similar questions.  Not only is it a waste of resources to design and build several competing platforms in a country (or globally), but individual citizens will also soon get bored of responding to multiple different platforms and surveys.  The value of each initiative will therefore go down, especially if there is no means of aggregating the data.  Competition between companies may well be an essential element of the global capitalist system enabling the fittest  to accrue huge profits, but it is inappropriate in the present circumstances where there are insufficient resources available to tackle the very immediate responses needed across the world.

Treat privacy and security very carefully

Most digital platforms claim to treat the security of their users very seriously.  Yet the reality is that many fail to protect the privacy of much personal information sufficiently, especially when software is developed rapidly by people who may not prioritise this issue and cut corners in their desire to get to market as quickly as possible.  Personal information about health status and location is especially sensitive.  It can therefore be hugely risky for people to provide information about whether they are infected with a virus that is as easily transmitted as Covid-19, while also providing their location so that this can then be mapped and others can see it.  Great care should be taken over the sort of information that is asked and the scale at which responses are expected.  It is not really necessary to know the postcode/zipcode of someone, if just the county or province will do.

Don’t detract from official and (hopefully) accurate information

Use of the Internet and digital technologies have led to a plethora of false information being propagated about Covid-19.  Not only is this confusing, but it can also be extremely dangerous.  Please don’t – even by accident – distract people from gaining the most important and reliable information that could help save their lives.  In some countries most people do not trust their governments; in others, governments may not have sufficient resources to provide the best information.  In these instances, it might be possible to work with the governments to ehance their capacity to deliver wise advice.  Whatever you do, try to point to the most reliable globally accepted infomation in the most appropriate languages (see below for some suggestions).

Keep it simple

Many of the crowdsourcing initiatives currently available or being planned seem to invite respondents to complete a fairly complex and detailed list of questions.  Even when people are healthy it could be tough for them to do so, and this could especially be the case for the elderly or digitally inexperienced who are often the most vulnerable.  Imagine what it would be like for someone who has a high fever or difficulty in breathing trying to fill it in.

Ask questions that will be helpful to those trying to respond to the pandemic

It is very difficult to ask clear and unambiguous questions.  It is even more difficult to ask questions about a field that you may not know much about.  Always work with people who might want to use the data that your initiative aims to generate.  If you are hoping, for example, to produce data that could be helpful in modelling the pandemic, then it is essential to learn from epidemiologists and those who have much experience in modelling infectious diseases.  It is also essential to ensure that the data are in a format that they can actually use.  It’s all very well producing beautful maps, but if they use different co-ordinate systems or boundaries from those used by government planners they won’t be much use to policy makers.

Ensure that there are at least some questions that are the same in all surveys if there are multiple initiatives being done by different organisations

When there are many competing surveys being undertaken by different organisations about Covid-19, it is important that they have some identical questions so that these can then be aggregated or compared with the results of other initiatives.   It is pointless having multiple initiatives the results of which cannot be combined or compared.

Work with a globally agreed set of terminology and hashtags (#)

The field of data analytics is becoming ever more sophisticated, but if those tackling Covid-19 are to be able readily to use social media data, it would be very helpful if there was some consistency in the use of terminology and hashtags.  There remains an important user-generated element to the creation of hashtags (despite the control imposed by those who create and own social media platforms), but it would be very helpful to those working in the field if some consistency could be encouraged or even recommended by global bodies and UN agencies such as the WHO and the ITU.

Collaborate and share

Above all, in these unprecendented times, it is essential for those wishing to make a difference to do so collaboratively rather than competitively.  Good practices should be shared rather than used to generate individual profit.  The scale of the potential impact, especially in the weakest contexts is immense.  As a recent report from the Imperial College MRC Centre for Global Infectious Disease Analysis notes, without interventions Covid-19 “would have resulted in 7.0 billion infections and 40 million deaths globally this year. Mitigation strategies focussing on shielding the elderly (60% reduction in social contacts) and slowing but not interrupting transmission (40% reduction in social contacts for wider population) could reduce this burden by half, saving 20 million lives, but we predict that even in this scenario, health systems in all countries will be quickly overwhelmed. This effect is likely to be most severe in lower income settings where capacity is lowest: our mitigated scenarios lead to peak demand for critical care beds in a typical low-income setting outstripping supply by a factor of 25, in contrast to a typical high-income setting where this factor is 7. As a result, we anticipate that the true burden in low income settings pursuing mitigation strategies could be substantially higher than reflected in these estimates”.

 

Resources

This concluding section provides quick links to generally agreed reliable and simple recommendations relating to Covid-19 that could be included in any crowdsourcing platform (in the appropriate language), and a listing of just a few of the crowdsourcing initiatives that have recently been developed.

Recommended reliable information on Covid-19

Remember the key WHO advice adopted in various forms by different governments:

  • Wash your hands frequently
  • Maintain social distancing
  • Avoid touching eyes, nose and mouth
  • If you have fever, cough and difficulty breathing, seek medical care early

A sample of crowdsourcing initiatives

Some of the many initiatives using crowdsourcing and similar methods to generate data relating to Covid-19 (many of which have very little usage):

Lists by others of relevant initiatives:

 

Global Covid-19 mapping and recording initiatives

The following are currently three of the best sourcs for global information about Covid-19 – although I do wish that they clarified that “infections” are only “recorded infections”, and that data around deaths should be shown as “deaths per 1000 people” (or similar density measures) and depicted on choropleth maps.

 

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Crowdsourcing Covid-19 infection rates

Covid-19, 19 March 2020, Source: https://coronavirus.thebaselab.com/

Covid-19, 19 March 2020, Source: https://coronavirus.thebaselab.com/

I have become increasingly frustrated by the continued global reporting of highly misleading figures for the number of Covid-19 infections in different countries.  Such “official” figures are collected in very different ways by governments and can therefore not simply be compared with each other.  Moreover, when they are used to calculate death rates they become much more problematic.  At the very least, everyone who cites such figures should refer to them as “Officially reported Infections”

As I write (19th March 2020, 17.10 UK time), the otherwise excellent thebaselab‘s documentation of the coronavirus’s evolution and spread gives mortality rates (based on deaths as a percentage of infected cases) for China as 4.01%, Italy as 8.34% and the UK as 5.09%.  However, as countries are being overwhelmed by Covid-19, most no longer have the capacity to test all those who fear that they might be infected.  Hence, as the numbers of tests as a percentage of total cases go down, the death rates will appear to go up.  It is fortunately widely suggested that most people who become infected with Covid-19 will only have a mild illness (and they are not being tested in most countries), but the numbers of deaths become staggering if these mortality rates are extrapolated.  Even if only 50% of people are infected (UK estimates are currently between 60% and 80% – see the Imperial College Report of 16th March that estimates that 81% of the UK and US populations will be infected), and such mortality rates are used, the figures (at present rates) become frightening:

  • In Italy, with a total population of 60.48 m, this would mean that 30.24 m people would be infected, which with a mortality rate of 8.34% would imply that 2.52 m people would die;
  • In the UK, with a total population of 66.34 m, this would mean that 33.17 m people would be infected, which with a mortality rate of 5.09% would imply that 1.69 m people would die.

These figures are unrealistic, because only a fraction of the total number of infected people are being tested, and so the reported infection rates are much lower than in reality.  In order to stop such speculations, and to reduce widespread panic, it is essential that all reporting of “Infected Cases” is therefore clarified, or preferably stopped.  Nevertheless, the most likely impact of Covid-19 is still much greater than most people realise or can fully appreciate.  The Imperial College Report (p.16) thus suggests that even if all patients were to be treated, there would still be around 250,000 deaths in Great Britain and 1.1-1.2 m in the USA; doing nothing, means that more than half a million people might die in the UK.

Having accurate data on infection rates is essential for effective policy making and disease management.  Globally, there are simply not enough testing kits or expertise to be able to get even an approximately accurate figure for real infections rates.  Hence, many surrogate measures have been used, all of which have to make complex assumptions about the sample populations from which they are drawn.  An alternative that is fortunately beginning to be considered is the use of digital technologies and social media.  Whilst by no means everyone has access to digital technologies or Internet connectivity, very large samples can be generated.  It is estimated that on average 2.26 billion people use one of the Facebook family of services every day; 30% of the world’s population is a large sample.  Existing crowdsourcing and social media platforms could therefore be used to provide valuable data that might help improve the modelling, and thus the management of this pandemic.

Crowdsourcing

[Great to see that since I first wrote this, Liquid Telecom has used Ushahidi to develop a crowd sourced Covid-19 data gathering initiative]

The violence in Kenya following the disputed Presidential elections in 2007, provided the cradle for the development of the Open Source crowdmapping platform, Ushahidi, which has subsequently been used in responding to disasters such as the earthquakes in Haiti and Nepal, and valuable lessons have been learnt from these experiences.  While there are many challenges in using such technologies, the announcement on 18th March that Ushahidi is waiving its Basic Plan fees for 90 days is very much to be welcomed, and provides an excellent opportunity to use such technologies better to understand (and therefore hopefully help to control) the spread of Covid-19.  However, there is a huge danger that such an opportunity may be missed.

The following (at a bare minimum) would seem to be necessary to maximise the opportunity for such crowdsourcing to be successful:

  • We must act urgently. The failure of countries across the world to act in January, once the likely impact of events in Wuhan unravelled was staggering. If we are to do anything, we have to act now, not least to help protect the poorest countries in the world with the weakest medical services.  Waiting even a fortnight will be too late.
  • Some kind of co-ordination and sharing of good practices is necessary. Whilst a global initiative might be feasible, it would seem more practicable for national initiatives to be created, led and inspired by local activists.  However, for data to be comparable (thereby enabling better modelling to take place) it is crucial for these national initiatives to co-operate and use similar methods and approaches.  There must also be close collaboration with the leading researchers in global infectious disease analysis to identify what the most meaningful indicators might be, as well as international organisations such as the WHO to help disseminate practical findings..
  • An agreed classification. For this to be effective there needs to be a simple agreed classification that people across the world could easily enter into a platform.  Perhaps something along these lines might be appropriate: #CovidS (I think I might have symptoms), #Covid7 (I have had symptoms for 7 days), #Covid14 (I have had symptoms for 14 days), #CovidT (I have been tested and I have it), #Covid0 (I have been tested and I don’t have it), #CovidH (I have been hospitalised), #CovidX (a person has died from it).
  • Practical dissemination.  Were such a platform (or national platforms) to be created, there would need to be widespread publicity, preferably by governments and mobile operators, to encourage as many people as possible to enter their information.  Mutiple languages would need to be incorporated, and the interfaces would have to be as appealing and simple as possible so as to encourage maximum submission of information.

Ushahidi as a platform is particularly appealing, since it enables people to submit information in multiple ways, not only using the internet (such as e-mail and Twitter), but also through SMS messages.  These data can then readily be displayed spatially in real time, so that planners and modellers can see the visual spread of the coronavirus.  There are certainly problems with such an approach, not least concerning how many people would use it and thus how large a sample would be generated, but it is definitely something that we should be exploring collectively further.

Social media

An alternative approach that is hopefully also already being explored by global corporations (but I have not yet read of any such definite projects underway) could be the use of existing social media platforms, such as Facebook/WhatsApp, WeChat or Twitter to collate information about people’s infection with Covid-19. Indeed, I hope that these major corporations have already been exploring innovative and beneficial uses to which their technologies could be put.  However, if this if going to be of any real practical use we must act very quickly.

In essence, all that would be needed would be for there to be an agreed global classification of hashtags (as tentatively suggested above), and then a very widespread marketing programme to encourage everyone who uses these platforms simply to post their status, and any subsequent changes.  The data would need to be released to those undertaking the modelling, and carefully curated information shared with the public.

Whilst such suggestions are not intended to replace existing methods of estimating the spread of infectious diseases, they could provide a valuable additional source of data that could enable modelling to be more accurate.  Not only could this reduce the number of deaths from Covid-19, but it could also help reassure the billions of people who will live through the pandemic.  Of course, such methods also have their sampling challenges, and the data would still need to be carefully interpreted, but this could indeed be a worthwhile initiative that would not be particularly difficult or expensive to initiate if global corporations had the will to do so.

Some final reflections

Already there are numerous new initiatives being set up across the world to find ways through which the latest digital technologies might be used in efforts to minimise the impact of Covid-19. The usual suspects are already there as headlines such as these attest: Blockchain Cures COVID-19 Related Issues in China, AI vs. Coronavirus: How artificial intelligence is now helping in the fight against COVID-19, or Using the Internet of Things To Fight Virus Outbreaks. While some of these may have potential in the future when the next pandemic strikes, it is unlikely that they will have much significant impact  on Covid-19.  If we are going to do anything about it, we must act now with existing well known, easy to use, and reliable digital technologies.

I fear that this will not happen.  I fear that we will see numerous companies and civil society organisations approaching donors with brilliant new innovative “solutions” that will require much funding and will take a year to implement.  By then it will be too late, and they will be forgotten and out of date by the time the next pandemic arrives.  Donors should resist the temptation to fund these.  We need to learn from what happened in West Africa with the spread of Ebola in 2014, when more than 200 digital initiatives seeking to provide information relating to the virus were initiated and funded (see my post On the contribution of ICTs to overcoming the impact of Ebola).  Most (although not all) failed to make any significant impact on the lives and deaths of those affected, and the only people who really benefitted were the companies and the staff working in the civil society organisations who proposed the “innovations”.

This is just a plea for those of us interested in these things to work together collaboratively, collectively and quickly to use what technologies we have at our fingertips to begin to make an impact.  Next week it will probably be too late…

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Short guides to literature on technology use in education: both the positives and the negatives…

Infant school

Infant school in Cocody, Abidjan, Côte d’Ivoire

Far too many initiatives using technology in education fail to learn from the experiences of others as they seek to be innovative and novel.  Consequently, the same mistakes tend to be replicated over and over again.  Far too many researchers likewise fail to read but a fraction of the vast literature that has been published on technology and education, and bibliographies in PhD theses in the field are increasingly often only sketchy at best.

In 2017 and 2018 I had the privilege of being asked to write a report for UNICEF on how the organisation might respond to the future interface between technology and learning.  This involved reading hundreds of reports, interviewing numerous people, and drawing on my experiences across the world over the last quarter of a century.  It made me realise how little I know, and how much still needs to be done.

However, in order to help others on this journey of discovery and learning, I thought it might be helpful to share a shortened version of the footnotes (34 sides) and a short summary bibliography (10 sides) that I included in that report.  Many of the links to the original literature or examples are included (please let me know if any are broken so that I can try to update them!).  Not least, I hope that this might reduce the flow of questions I receive from people beginning to get interested in the field, either for research or because they have a great idea that they would like to introduce in practice on the ground – most of whom have never actually read much before asking me the question!  These are but starting points on a lifetime of learning and discovery, but I hope that people may find them useful.

I have previously posted summaries of some of the content of my UNICEF report elsewhere on my Blog as follows:

I must stress that these are very much my own views, and in no way represent the opinions of UNICEF or those with whom I have previosuly worked.  They are offered here, though, to get us all to ask some of the difficult questions about ways through which some of the poorest and most marginalised can benefit from the use of technology in education, if indeed that will ever truly be possible (at least in a relative sense).

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The gendering of AI – and why it matters

Digital technologies are all too often seen as being neutral and value free, and with a power of their own to transform the world.  However, even a brief reflection indicates that this taken-for-granted assumption is fundamentally flawed.  Technologies are created by people, who have very specific interests, and they construct or craft them for particular purposes, more often than not to generate profit.  These technologies therefore carry within them the biases and prejudices of the people who create them.

This is as true of Artificial Intelligence (AI) as it is of other digital technologies, such as mobile devices and robots.  Gender, with all of its diversity, is one of the most important categories through which most people seek to understand the world, and we frequently assign gender categories to non-human objects such as technologies.  This is evident even in the languages that we use, especially in the context of technology.  It should not therefore be surprising that AI is gendered.  Yet, until recently few people appreciated the implication of this.

The AI and machine learning underlying an increasing number of decision-making processes, from recruitment to medical diagnostics, from surveillance technologies to e-commerce, is indeed gendered, and will therefore reproduce existing gender biases in society unless specific actions are taken to counter it.  Three issues seem to be of particular importance here:

  • AI is generally used to manipulate very large data sets.  If these data sets themselves are a manifestation of gender bias, then the conclusions reached through the algorithms will also be biased.
  • Most professionals working in the AI field are male; the World Economic Forum’s 2018 Global Gender Gap Report thus reports that only 22% of AI professionals globally are women. The algorithms themselves are therefore being shaped primarily from a male perspective, and ignore the potential contributions that women can make to their design.
  • AI, rather than being neutral, is serving to reproduce, and indeed accelerate, existing gender biases and stereotypes.  This is typified in the use of female voices in digital assistants such as Alexa and Siri, which often suggest negative or subservient associations with women.  A recent report by UNESCO for EQUALS, for example, emphasises the point that those in the field therefore need to work together to “prevent digital assistant technologies from perpetuating existing gender biases and creating new forms of gender inequality”.

These issues highlight the growing importance of binary biases in AI.  However, it must also be recognised that they have ramifications for its intersection with the nuanced and diverse definitions of gender associated with those who identify as LGBTIQ.  In 2017, for example, HRC and Glaad thus criticised a study claiming to show that deep neural networks could correctly differentiate between gay and straight men 81% of the time, and women 74% of the time, on the grounds that it could put gay people at risk and made overly broad assumptions about gender and sexuality.

The panel session on Diversity by Design: mitigating gender bias in AI at this year’s ITU Telecom World in Budapest (11 September, 14.00-15.15) is designed specifically to address these complex issues.  As moderator, I will be encouraging the distinguished panel of speakers, drawn from industry, academia and civil society, not only to tease out these challenging issues in more depth, but also to suggest how we can design AI with diversity in mind.  This is of critical importance if we are collectively to prevent AI from increasing inequalities at all scales, and to ensure that in the future it more broadly represents the rich diversity of humanity.


THIS WAS FIRST POSTED ON THE ITU’S TELECOM WORLD SITE ON 17TH JUNE 2019.  It is reproduced here with their kind permission.

 

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