Complex systems models have played a significant role in informing and shaping the public health measures adopted by governments in the context of the COVID-19 pandemic. For instance, modelling carried out by a team at Imperial College London is widely reported to have driven the approach in the UK from a strategy of mitigation to one of suppression.

Complex systems modelling will increasingly feed into policymaking by predicting a range of potential correlations, results and outcomes based on a set of parameters, assumptions, data and pre-defined interactions. It is already instrumental in developing risk mitigation and resilience measures to address and prepare for existential crises such as pandemics, prospects of a nuclear war, as well as climate change.

The human factor

In the end, model-driven approaches must stand up to the test of real-life data. Modelling for policymaking must take into account a number of caveats and limitations. Models are developed to help answer specific questions, and their predictions will depend on the hypotheses and definitions set by the modellers, which are subject to their individual and collective biases and assumptions. For instance, the models developed by Imperial College came with the caveated assumption that a policy of social distancing for people over 70 will have a 75 per cent compliance rate. This assumption is based on the modellers’ own perceptions of demographics and society, and may not reflect all societal factors that could impact this compliance rate in real life, such as gender, age, ethnicity, genetic diversity, economic stability, as well as access to food, supplies and healthcare. This is why modelling benefits from a cognitively diverse team who bring a wide range of knowledge and understanding to the early creation of a model.

The potential of artificial intelligence

Machine learning, or artificial intelligence (AI), has the potential to advance the capacity and accuracy of modelling techniques by identifying new patterns and interactions, and overcoming some of the limitations resulting from human assumptions and bias. Yet, increasing reliance on these techniques raises the issue of explainability. Policymakers need to be fully aware and understand the model, assumptions and input data behind any predictions and must be able to communicate this aspect of modelling in order to uphold democratic accountability and transparency in public decision-making.

In addition, models using machine learning techniques require extensive amounts of data, which must also be of high quality and as free from bias as possible to ensure accuracy and address the issues at stake. Although technology may be used in the process (i.e. automated extraction and processing of information with big data), data is ultimately created, collected, aggregated and analysed by and for human users. Datasets will reflect the individual and collective biases and assumptions of those creating, collecting, processing and analysing this data. Algorithmic bias is inevitable, and it is essential that policy- and decision-makers are fully aware of how reliable the systems are, as well as their potential social implications.

The age of distrust

Increasing use of emerging technologies for data- and evidence-based policymaking is taking place, paradoxically, in an era of growing mistrust towards expertise and experts, as infamously surmised by Michael Gove. Policymakers and subject-matter experts have faced increased public scrutiny of their findings and the resultant policies that they have been used to justify.

This distrust and scepticism within public discourse has only been fuelled by an ever-increasing availability of diffuse sources of information, not all of which are verifiable and robust. This has caused tension between experts, policymakers and public, which has led to conflicts and uncertainty over what data and predictions can be trusted, and to what degree. This dynamic is exacerbated when considering that certain individuals may purposefully misappropriate, or simply misinterpret, data to support their argument or policies. Politicians are presently considered the least trusted professionals by the UK public, highlighting the importance of better and more effective communication between the scientific community, policymakers and the populations affected by policy decisions.

Acknowledging limitations

While measures can and should be built in to improve the transparency and robustness of scientific models in order to counteract these common criticisms, it is important to acknowledge that there are limitations to the steps that can be taken. This is particularly the case when dealing with predictions of future events, which inherently involve degrees of uncertainty that cannot be fully accounted for by human or machine. As a result, if not carefully considered and communicated, the increased use of complex modelling in policymaking holds the potential to undermine and obfuscate the policymaking process, which may contribute towards significant mistakes being made, increased uncertainty, lack of trust in the models and in the political process and further disaffection of citizens.

The potential contribution of complexity modelling to the work of policymakers is undeniable. However, it is imperative to appreciate the inner workings and limitations of these models, such as the biases that underpin their functioning and the uncertainties that they will not be fully capable of accounting for, in spite of their immense power. They must be tested against the data, again and again, as new information becomes available or there is a risk of scientific models becoming embroiled in partisan politicization and potentially weaponized for political purposes. It is therefore important not to consider these models as oracles, but instead as one of many contributions to the process of policymaking.

The study of secrecy and spies remain subjects dominated by Anglo-American experiences. In recent years there has been some effort to refocus the lens of research upon ‘intelligence elsewhere’, including the global South. This is partly because of intense interest in the Arab Spring and ‘managed democracy’, placing a wider range of secret services under the spotlight. However, the approach to research is still dominated by concepts and methods derived from studying the English-speaking states of the ‘Five Eyes’ alliance and their European outriders. This article calls for a re-examination of research strategies for Intelligence Studies and for those theorizing surveillance, suggesting that both fields have much to learn from area studies and development studies, especially in the realm of research practice and ethics. If the growing number of academics specializing in intelligence genuinely wish to move forward and examine the global South they will need to rethink their tool-kit and learn from other disciplines. We suggest there is a rich tradition to draw upon.

Please note, the second video on this page is from an interview with the president outside the event.

HE Alassane Ouattara, president of Côte d'Ivoire, discusses governance and domestic priorities ahead of and beyond elections, as well as efforts to sustain stability and support an inclusive electoral process.

Presidential elections in Côte d'Ivoire, the world’s top cocoa producer and the largest economy in the West African Economic and Monetary Union (WAEMU), will be held ‪on 31st October 2020 against a backdrop of marked political dynamism in the country and wider region.

Possible constitutional amendments and a newly announced major reform of the currency regime are among significant issues drawing focus.

A credible and inclusive electoral process is critical for the improvement of socio-development outcomes and for the maintenance of a positive investment environment.

But instability remains a serious risk and the stakes are high for Côte d'Ivoire and the wider region.

Since Japan established its Tokyo International Conference on African Development (TICAD) in 1993, an increasing number of summits for African engagement have appeared across the Asia-Pacific region. TICAD VII, held on 28-30 August 2019 in Yokohama, sought to strengthen partnerships between Japan and Africa in three main areas: technical cooperation; business and women’s entrepreneurship; and next generation and people-to-people connectivity.

The UK-Africa Investment Summit held in January 2020 highlighted similar themes, with an emphasis on investing to generate sustainable growth and create jobs.  Common interests and goals among different African countries, Japan and the UK bring opportunities for trilateral cooperation.

This event will examine how collaboration between African countries, Japan and the UK can help to more effectively achieve sustainable growth, business development and job creation.

PLEASE NOTE THIS EVENT IS POSTPONED UNTIL FURTHER NOTICE.

African policymakers face a dilemma when it comes to COVID-19. The first hope is to prevent the virus from gaining a foothold at all, and many African states have significant experience of managing infectious disease outbreaks. The establishment of the Africa Centre for Disease Control highlights the hugely increased focus on public health in recent years.

But capacities to track, test and isolate vary wildly, notably between neighbours with porous and poorly controlled borders and, in most cases, sustained national-level disease control is difficult. Initial clusters of COVID-19 cases are already established in many places, but a lack of testing capacity makes it hard to know the full extent of transmission.

It is not obvious what African states should do as a response. Lack of information about COVID-19 means the proportion of asymptomatic or mild cases is not known, still less the ways in which this is influenced by human geography and demographics.

Africa is an overwhelmingly young continent with a median age under 20. But it also faces chronic malnutrition, which may weaken immune responses, and infectious diseases such as malaria, TB and HIV are widespread which could worsen the impact of COVID-19, particularly if treatment for these diseases is interrupted.

Complex and unknown

Ultimately, how all these factors interact with COVID-19 is complex and remains largely unknown. Africa may escape with a relatively light toll. Or it could be hit harder than anywhere else.

What is clear, however, is that cost of simply following the rest of the world into lockdown could be high. Africa is relatively rural but has higher populations living in informal settlements than anywhere in the world. Many live in cramped and overcrowded accommodation without clean water or reliable electricity, making handwashing a challenge and working from home impossible.

And the benefits appear limited. The goal of lockdowns in most places is not to eliminate the virus but to accept the economic and social costs as a price worth paying in order to ‘flatten the curve’ of infection and protect healthcare systems from being overwhelmed. But this logic does not hold when many of Africa’s healthcare systems are barely coping with pre-coronavirus levels of disease.

Africa suffers in comparison to much of the rest of the world in terms of access to quality and affordable healthcare, critical care beds and specialist personnel. For example, in 2017, Nigeria had just 120 ICU beds for a country of 200 million, equating to 0.07 per 100,000 inhabitants compared to 12.5 per 100,000 in Italy and 3.6 per 100,000 in China.

The pandemic’s ruinous economic impacts could also be more acute for Africa than anywhere else. The continent is highly vulnerable to potential drops in output and relies heavily on demand from China and Europe. Many states are already facing sharply falling natural resource revenues, and investment, tourism and remittances will suffer - all on top of a high existing debt burden.

Analysis by the World Bank shows that Africa will likely face its first recession in 25 years, with the continental economy contracting by up to 5.1% in 2020. Africa will have scant financial ammunition to use in the fight against COVID-19 with currencies weakening, food prices rising, local agri-food supply chains disrupted and food imports likely to decrease as well. A food security emergency appears a strong possibility.

So, although several states have imposed national lockdowns and others closed major urban centres, lockdowns are difficult to manage and sustain, especially in places where the daily hustle of the informal sector or subsistence agriculture are the only means of survival and where the state has neither the trust of the population nor the capacity to replace lost earnings or meet basic needs.

Of course, this is not simply a binary choice between lockdown or no lockdown - a range of intermediate options exist, such as some restriction on movement, curfews, shutting places of worship, banning only large gatherings, or closing pubs, schools and borders.

A significant number of African states have so far taken this middle path. This will not prevent the virus from spreading nor, in all probability, be enough to ensure adequate healthcare for all Africans infected with COVID-19. But it may help slow the spread and buy invaluable time for African states and partners to prepare.

How this time is used is therefore of paramount importance. Popular trust in the state is low in many African countries so strategies must empower communities, not alienate them. Africa’s experience of previous epidemics and long traditions of collective resilience and community-based crisis response - which persist in many places – are significant strengths.

The right messages must be carried by the right messengers, and policies - including cash transfers and food distribution - implemented sensitively. If not, or if responses become militarized, public consent is unlikely to be sustained for long.

Since the 2018 economic crisis, when the value of the lira plummeted and borrowing costs soared, Turkey’s economy has achieved a miraculous ‘V-shaped’ economic recovery from a recession lasting three quarters to a return back to quarterly growth above 1 per cent in the first three months of 2019.

But this quick turnaround has been built on vast amounts of cheap credit used to re-stimulate a consumption and construction boom. This so-called ‘triple C’ economy generated a rapid growth spurt akin to a modestly able professional sprinter injected with steroids.

This has made the currency vulnerable. The lira has steadily depreciated by 11 per cent against the US dollar since the beginning of 2019 and crossed the rate of 6 lira versus the US dollar on 7 February. And there are further warning signs on the horizon.

Credit bonanza

Statistics reveal that Turkish domestic credit grew by around 13 per cent on average throughout 2019.  The credit bonanza is still ongoing. Mortgage-backed home sales jumped by a record high of 600 per cent last December alone and the 2019 budget deficit catapulted by 70 per cent due to higher government spending.

Turkey’s central bank fuelled this credit expansion by cutting interest rates aggressively to below inflation and, since the start of this year, purchasing lira-denominated bonds equivalent to around one-third of total acquisitions last year to push yields lower.

Equally, it has linked bank lending to reserve requirements – the money that banks have to keep at the central bank – to boost borrowings via state and private banks. Banks with a ‘real’ loan growth (including inflation) of between 5 and 15 per cent enjoy a 2 per cent reserve ratio on most lira deposits, which authorities adjusted from an earlier band of 10-20 per cent that did not consider double-digit inflation.

Cumulatively, bond purchases (effectively quantitative easing) and reserve management policies have also contributed to eased credit conditions.

Commercial banks have also reduced deposit rates on lira accounts to less than inflation to encourage consumption over saving. Together with low lending rates, the boost to the economy has flowed via mortgages, credit card loans, vehicle leasing transactions and general business borrowings.

Accordingly, stimulus is at the forefront of the government’s economic approach, as it was in 2017 and 2018. It does not seem to be implementing structural change to re-orient growth away from consumption towards productivity. 

In addition, governance is, again, a central issue. President Recep Tayyip Erdogan’s near total monopolization of policymaking means he guides all domestic and external policies. He forced out the previous central bank governor, Murat Cetinkaya, in July 2019 because he did not share the president’s desire for an accelerated pace of interest rate reductions.

New challenges

Despite the similarities, the expected future financial turbulence will be materially different from its 2018 predecessor in four crucial respects. 

Firstly, foreign investors will only be marginally involved. Turkey has shut out foreign investors since 2018 from lira-denominated assets by restricting lira swap arrangements. Unsurprisingly, the non-resident holdings of lira bonds has plummeted from 20 per cent in 2018 to less than 10 per cent today.

Secondly, the Turkish government has recently introduced indirect domestic capital controls by constraining most commercial transactions to the lira rather than to the US dollar or euro to reduce foreign currency demand in light of short-term external debt obligations of $191 billion.

Thirdly, the Turkish state banks are intervening quite regularly to soften Lira volatility, thereby transitioning from a ‘free float’ to a ‘managed float’. So far, they have spent over $37 billion over the last two years in a futile effort to buttress the lira. This level of involvement in currency markets cannot be maintained.

Fourthly, the Turkish state is being far more interventionist in the Turkish stock exchange and bond markets to keep asset prices elevated. Government-controlled local funds have participated in the Borsa Istanbul and state banks in sovereign debt to sustain rallies or reverse a bear market.  

All these measures have one running idea: exclude foreign investors and no crisis will recur. Yet, when the credit boom heads to a downturn sooner or later, Turks will probably escalate lira conversions to US dollars; 51 per cent of all Turkish bank deposits are already dollar-denominated and the figure is still rising.

If Turkey’s limited foreign reserves cannot satisfy the domestic dollar demand, the government may have to impose comprehensive capital controls and allow for a double digit depreciation in the value of the lira to from its current level, with significant repercussions on Turkey’s political stability and economic climate.

To avoid this scenario, it needs to restore fiscal and monetary prudence, deal the with the foreign debt overhang in the private sector and focus on productivity-improving economic and institutional reforms to gain the confidence of global financial markets and Turks alike.

Complex systems models have played a significant role in informing and shaping the public health measures adopted by governments in the context of the COVID-19 pandemic. For instance, modelling carried out by a team at Imperial College London is widely reported to have driven the approach in the UK from a strategy of mitigation to one of suppression.

Complex systems modelling will increasingly feed into policymaking by predicting a range of potential correlations, results and outcomes based on a set of parameters, assumptions, data and pre-defined interactions. It is already instrumental in developing risk mitigation and resilience measures to address and prepare for existential crises such as pandemics, prospects of a nuclear war, as well as climate change.

The human factor

In the end, model-driven approaches must stand up to the test of real-life data. Modelling for policymaking must take into account a number of caveats and limitations. Models are developed to help answer specific questions, and their predictions will depend on the hypotheses and definitions set by the modellers, which are subject to their individual and collective biases and assumptions. For instance, the models developed by Imperial College came with the caveated assumption that a policy of social distancing for people over 70 will have a 75 per cent compliance rate. This assumption is based on the modellers’ own perceptions of demographics and society, and may not reflect all societal factors that could impact this compliance rate in real life, such as gender, age, ethnicity, genetic diversity, economic stability, as well as access to food, supplies and healthcare. This is why modelling benefits from a cognitively diverse team who bring a wide range of knowledge and understanding to the early creation of a model.

The potential of artificial intelligence

Machine learning, or artificial intelligence (AI), has the potential to advance the capacity and accuracy of modelling techniques by identifying new patterns and interactions, and overcoming some of the limitations resulting from human assumptions and bias. Yet, increasing reliance on these techniques raises the issue of explainability. Policymakers need to be fully aware and understand the model, assumptions and input data behind any predictions and must be able to communicate this aspect of modelling in order to uphold democratic accountability and transparency in public decision-making.

In addition, models using machine learning techniques require extensive amounts of data, which must also be of high quality and as free from bias as possible to ensure accuracy and address the issues at stake. Although technology may be used in the process (i.e. automated extraction and processing of information with big data), data is ultimately created, collected, aggregated and analysed by and for human users. Datasets will reflect the individual and collective biases and assumptions of those creating, collecting, processing and analysing this data. Algorithmic bias is inevitable, and it is essential that policy- and decision-makers are fully aware of how reliable the systems are, as well as their potential social implications.

The age of distrust

Increasing use of emerging technologies for data- and evidence-based policymaking is taking place, paradoxically, in an era of growing mistrust towards expertise and experts, as infamously surmised by Michael Gove. Policymakers and subject-matter experts have faced increased public scrutiny of their findings and the resultant policies that they have been used to justify.

This distrust and scepticism within public discourse has only been fuelled by an ever-increasing availability of diffuse sources of information, not all of which are verifiable and robust. This has caused tension between experts, policymakers and public, which has led to conflicts and uncertainty over what data and predictions can be trusted, and to what degree. This dynamic is exacerbated when considering that certain individuals may purposefully misappropriate, or simply misinterpret, data to support their argument or policies. Politicians are presently considered the least trusted professionals by the UK public, highlighting the importance of better and more effective communication between the scientific community, policymakers and the populations affected by policy decisions.

Acknowledging limitations

While measures can and should be built in to improve the transparency and robustness of scientific models in order to counteract these common criticisms, it is important to acknowledge that there are limitations to the steps that can be taken. This is particularly the case when dealing with predictions of future events, which inherently involve degrees of uncertainty that cannot be fully accounted for by human or machine. As a result, if not carefully considered and communicated, the increased use of complex modelling in policymaking holds the potential to undermine and obfuscate the policymaking process, which may contribute towards significant mistakes being made, increased uncertainty, lack of trust in the models and in the political process and further disaffection of citizens.

The potential contribution of complexity modelling to the work of policymakers is undeniable. However, it is imperative to appreciate the inner workings and limitations of these models, such as the biases that underpin their functioning and the uncertainties that they will not be fully capable of accounting for, in spite of their immense power. They must be tested against the data, again and again, as new information becomes available or there is a risk of scientific models becoming embroiled in partisan politicization and potentially weaponized for political purposes. It is therefore important not to consider these models as oracles, but instead as one of many contributions to the process of policymaking.

African policymakers face a dilemma when it comes to COVID-19. The first hope is to prevent the virus from gaining a foothold at all, and many African states have significant experience of managing infectious disease outbreaks. The establishment of the Africa Centre for Disease Control highlights the hugely increased focus on public health in recent years.

But capacities to track, test and isolate vary wildly, notably between neighbours with porous and poorly controlled borders and, in most cases, sustained national-level disease control is difficult. Initial clusters of COVID-19 cases are already established in many places, but a lack of testing capacity makes it hard to know the full extent of transmission.

It is not obvious what African states should do as a response. Lack of information about COVID-19 means the proportion of asymptomatic or mild cases is not known, still less the ways in which this is influenced by human geography and demographics.

Africa is an overwhelmingly young continent with a median age under 20. But it also faces chronic malnutrition, which may weaken immune responses, and infectious diseases such as malaria, TB and HIV are widespread which could worsen the impact of COVID-19, particularly if treatment for these diseases is interrupted.

Complex and unknown

Ultimately, how all these factors interact with COVID-19 is complex and remains largely unknown. Africa may escape with a relatively light toll. Or it could be hit harder than anywhere else.

What is clear, however, is that cost of simply following the rest of the world into lockdown could be high. Africa is relatively rural but has higher populations living in informal settlements than anywhere in the world. Many live in cramped and overcrowded accommodation without clean water or reliable electricity, making handwashing a challenge and working from home impossible.

And the benefits appear limited. The goal of lockdowns in most places is not to eliminate the virus but to accept the economic and social costs as a price worth paying in order to ‘flatten the curve’ of infection and protect healthcare systems from being overwhelmed. But this logic does not hold when many of Africa’s healthcare systems are barely coping with pre-coronavirus levels of disease.

Africa suffers in comparison to much of the rest of the world in terms of access to quality and affordable healthcare, critical care beds and specialist personnel. For example, in 2017, Nigeria had just 120 ICU beds for a country of 200 million, equating to 0.07 per 100,000 inhabitants compared to 12.5 per 100,000 in Italy and 3.6 per 100,000 in China.

The pandemic’s ruinous economic impacts could also be more acute for Africa than anywhere else. The continent is highly vulnerable to potential drops in output and relies heavily on demand from China and Europe. Many states are already facing sharply falling natural resource revenues, and investment, tourism and remittances will suffer - all on top of a high existing debt burden.

Analysis by the World Bank shows that Africa will likely face its first recession in 25 years, with the continental economy contracting by up to 5.1% in 2020. Africa will have scant financial ammunition to use in the fight against COVID-19 with currencies weakening, food prices rising, local agri-food supply chains disrupted and food imports likely to decrease as well. A food security emergency appears a strong possibility.

So, although several states have imposed national lockdowns and others closed major urban centres, lockdowns are difficult to manage and sustain, especially in places where the daily hustle of the informal sector or subsistence agriculture are the only means of survival and where the state has neither the trust of the population nor the capacity to replace lost earnings or meet basic needs.

Of course, this is not simply a binary choice between lockdown or no lockdown - a range of intermediate options exist, such as some restriction on movement, curfews, shutting places of worship, banning only large gatherings, or closing pubs, schools and borders.

A significant number of African states have so far taken this middle path. This will not prevent the virus from spreading nor, in all probability, be enough to ensure adequate healthcare for all Africans infected with COVID-19. But it may help slow the spread and buy invaluable time for African states and partners to prepare.

How this time is used is therefore of paramount importance. Popular trust in the state is low in many African countries so strategies must empower communities, not alienate them. Africa’s experience of previous epidemics and long traditions of collective resilience and community-based crisis response - which persist in many places – are significant strengths.

The right messages must be carried by the right messengers, and policies - including cash transfers and food distribution - implemented sensitively. If not, or if responses become militarized, public consent is unlikely to be sustained for long.

Six years after the annexation of Crimea and the start of the armed conflict in Donbas, the process of coalescing the Ukrainian society around a common civic identity remains complex. Ukraine comprises many ethno-linguistic identities, and various internal and external actors have been able to exploit old and new grievances to increase tensions at the regional and local level.

The panellists will discuss the conflict dynamics along parts of Ukraine’s international border and the line of contact with Crimea. The speakers will review the internal political, social and economic trends that cause friction and suggest ways to strengthen cohesion.

The event will build upon key findings from International Alert’s analysis of the south of Odesa, Kherson and Zakarpattia oblasts and on the reintegration of veterans in Ukraine.

This event is organized in partnership with International Alert, supported by UK aid from the UK government as part of the Peace Research Partnership programme.