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Expert

Expert

Histone recognition by “reader” modules serves as a fundamental mechanism in epigenetic regulation. Previous studies have shown that Spindlin1 is a reader of histone H3K4me3 as well as “K4me3-R8me2a” and promotes transcription of rDNA or Wnt/TCF4 target genes. Here we show that Spindlin1 also acts as a potent reader of histone H3 “K4me3-K9me3/2” bivalent methylation pattern. Calorimetric titration revealed a binding affinity of 16 nm between Spindlin1 and H3 “K4me3-K9me3” peptide, which is one to three orders of magnitude stronger than most other histone readout events at peptide level. Structural studies revealed concurrent recognition of H3K4me3 and H3K9me3/2 by aromatic pockets 2 and 1 of Spindlin1, respectively. Epigenomic profiling studies showed that Spindlin1 colocalizes with both H3K4me3 and H3K9me3 peaks in a subset of genes enriched in biological processes of transcription and its regulation. Moreover, the distribution of Spindlin1 peaks is primarily associated with H3K4me3 but not H3K9me3, which suggests that Spindlin1 is a downstream effector of H3K4me3 generated in heterochromatic regions. Collectively, our work calls attention to an intriguing function of Spindlin1 as a potent H3 “K4me3-K9me3/2” bivalent mark reader, thereby balancing gene expression and silencing in H3K9me3/2-enriched regions.

DNA polymerases are today used throughout scientific research, biotechnology, and medicine, in part for their ability to interact with unnatural forms of DNA created by synthetic biologists. Here especially, natural DNA polymerases often do not have the “performance specifications” needed for transformative technologies. This creates a need for science-guided rational (or semi-rational) engineering to identify variants that replicate unnatural base pairs (UBPs), unnatural backbones, tags, or other evolutionarily novel features of unnatural DNA. In this review, we provide a brief overview of the chemistry and properties of replicative DNA polymerases and their evolved variants, focusing on the Klenow fragment of Taq DNA polymerase (Klentaq). We describe comparative structural, enzymatic, and molecular dynamics studies of WT and Klentaq variants, complexed with natural or noncanonical substrates. Combining these methods provides insight into how specific amino acid substitutions distant from the active site in a Klentaq DNA polymerase variant (ZP Klentaq) contribute to its ability to replicate UBPs with improved efficiency compared with Klentaq. This approach can therefore serve to guide any future rational engineering of replicative DNA polymerases.

Erythromycin-resistance methyltransferases are SAM dependent Rossmann fold methyltransferases that convert A2058 of 23S rRNA to m6 2A2058. This modification sterically blocks binding of several classes of antibiotics to 23S rRNA, resulting in a multidrug-resistant phenotype in bacteria expressing the enzyme. ErmC is an erythromycin resistance methyltransferase found in many Gram-positive pathogens, whereas ErmE is found in the soil bacterium that biosynthesizes erythromycin. Whether ErmC and ErmE, which possess only 24% sequence identity, use similar structural elements for rRNA substrate recognition and positioning is not known. To investigate this question, we used structural data from related proteins to guide site-saturation mutagenesis of key residues and characterized selected variants by antibiotic susceptibility testing, single turnover kinetics, and RNA affinity–binding assays. We demonstrate that residues in α4, α5, and the α5-α6 linker are essential for methyltransferase function, including an aromatic residue on α4 that likely forms stacking interactions with the substrate adenosine and basic residues in α5 and the α5-α6 linker that likely mediate conformational rearrangements in the protein and cognate rRNA upon interaction. The functional studies led us to a new structural model for the ErmC or ErmE-rRNA complex.

V. G. Lysov
Trans. Moscow Math. Soc. 83 (), 291-304.
Abstract, references and article information

A. I. Aptekarev and M. L. Yattselev
Trans. Moscow Math. Soc. 83 (), 251-268.
Abstract, references and article information

H. G. Kazaryan and V. N. Margaryan
Trans. Moscow Math. Soc. 83 (), 151-181.
Abstract, references and article information

Power Sector Transformation, New Market Dynamics and Geopolitical Implications 7 November 2018 — 8:00AM TO 9:30AM Anonymous (not verified) 6 December 2018 Chatham House | 10 St James's Square | London | SW1Y 4LE

The global electricity sector is experiencing profound change due to a confluence of technological innovation, environmental policies and regulatory reform. The effect is most obvious in the EU28, Australia and parts of North America.

However, this is just the beginning and the success of the next phase of electricity sector transformations hinges on enhancing system flexibility to facilitate unhindered low-cost deployment of renewables. It remains to be seen how utilities will seek to navigate this second phase of electricity transformations.

This session starts with a presentation and discussion that focuses on:

• Public and private sector risks of the transformation of the power sector, changes in generation mix and their implications for supply chain, employments and investment patterns.
• The role of government and the regulatory framework in light of changing market structure, new entrants and big data.
• Wider geopolitical issues including the implication for fossil fuel producers and the rise in demand for new materials and changes in land use.
• The possible implications on the power sector on the electrification of heat and transport.

The discussion then moves to the speed of transformation and what this means for existing and new market actors.

Net Zero and Beyond: What Role for Bioenergy with Carbon Capture and Storage? 23 January 2020 — 8:30AM TO 10:00AM Anonymous (not verified) 6 January 2020 Chatham House | 10 St James's Square | London | SW1Y 4LE

In the context of the feasibility of reducing greenhouse gas emissions to net zero, policymakers are beginning to pay more attention to options for removing carbon dioxide from the atmosphere. A wide range of potential carbon dioxide removal (CDR) options are currently being discussed and modelled though the most prominent among them are bioenergy with carbon capture and storage (BECCS) and afforestation and reforestation.

There are many reasons to question the reliance on BECCS assumed in the models including the carbon balances achievable, its substantial needs for land, water and other inputs and technically and economically viable carbon capture and storage technologies.

This meeting will examine the potentials and challenges of BECCS in the context of other CDR and emissions abatement options. It will discuss the requisite policy and regulatory frameworks to minimize sustainability and socio-political risks of CDR approaches while also avoiding overshooting climate goals.

Attendance at this event is by invitation only.

Environmental Change and Emerging Diseases 28 October 2020 — 3:00PM TO 4:00PM Anonymous (not verified) 13 October 2020 Online

Understanding how environmental changes are directly and indirectly affecting the emergence and spread of disease has assumed global importance.

There is growing awareness that deforestation and land-use conversion, urbanization, human migration, international commerce, and climate change are having significant impacts on human health, but their impact on increasing infectious disease risks has only become more evident with the coronavirus pandemic.

With climate change, and environmental change more generally, disrupting ecologies, and people interacting with wildlife in new ways, it creates the conditions for new diseases to emerge: a better understanding of the health dimensions of environmental change will be critical to managing pandemic risks in future. 

Our event will examine the relationship between environmental change and disease, how these linkages have manifested in historical outbreaks and in the coronavirus pandemic, and the role of environmental policies in minimizing the risk of future emerging diseases.  What can be done to ensure equitable action? What can we learn from our responses to previous pandemics? And will the growing recognition of the diverse risks arising from climate change motivate more climate action?

This event will launch the Energy, Environment and Resources (EER) Programme’s Environment and Society Discussion Series. This series aims to provide a platform to promote interdisciplinary knowledge sharing and policy dialogue to mitigate and adapt to the impacts that climate change, biodiversity loss and natural resource depletion are having on people and communities globally, and on geopolitics, security and international development.

Sign up to find out about more events in this series here. 

Moving Food up the Political Agenda 14 December 2020 — 3:00PM TO 4:30PM Anonymous (not verified) 8 December 2020 Online

How can food system transformation be woven into high level biodiversity, nutrition and climate forums in 2021?

Adverse impacts on food security are expected to worsen as global temperatures continue to rise. As well as feeling the impacts of climate change, food systems drive it in a number of ways. Not only do food systems contribute more to greenhouse gas emissions than any other parts of our lives, they are also the leading driver of biodiversity loss, the largest cause of deforestation and occupy the most land globally.

On our current trajectory, 1.5°C of warming could become a reality in the next 5-10 years. Transforming food systems to meet climate, biodiversity and food security goals is crucial. If left to continue, food alone could take us over 1.5°C this century – even with maximum efforts in the energy sector.

Unprecedented levels of action to transform food systems is required over the next decade. The coming year is described as a ‘super year’ given the numerous high-level global events taking place that cover climate, biodiversity and food security. The year ahead has also been identified as the final opportunity to bring global commitments in line with the goals of the Paris Agreement.

What can be achieved in the super year? How can food system transformation be woven into high level biodiversity, nutrition and climate forums during the super year? How can momentum from the super year be built upon, to ensure meaningful action is taken over the next decade?

Climate action and gender equality: Can we close the gap on one without the other? 8 March 2021 — 2:30PM TO 4:00PM Anonymous (not verified) 15 February 2021 Online

In partnership with the COP26 presidency, policymakers and experts examine the interrelationship between gender equality and climate action, and highlight innovative examples of policy and practice from around the world.

Marking International Women’s Day, this event organized by the COP26 presidency in partnership with Chatham House, will explore how gender equality and climate action go hand-in-hand. The agreement of the Gender Action Plan (GAP) at COP25 sent the message that the time for gender-responsive climate action is now.

This will be a unique opportunity to hear from policymakers and civil society leaders discussing whether enough is being done, as well as highlighting cutting-edge work around the world and suggesting what the future could hold.

The event will be livestreamed on this event page.

Sand: Monitoring and management for a sustainable future 2 March 2021 — 1:00PM TO 2:00PM Anonymous (not verified) 18 February 2021 Online

In partnership with the Global Sand Observatory Initiative, this event outlines the sand challenge, what actions are currently underway to address it, and what else needs to be done.

Please complete your registration on Zoom:

After water, sand is the raw material that the world consumes in the greatest quantity. It is no exaggeration to say that fine sand and coarser materials – the medium-to-coarse-grained pebbles, gravel and rock fragments used in construction – are the building blocks of the modern world.

When bound with cement, sand becomes concrete; when mixed with bitumen, it becomes asphalt; and when heated, it becomes glass. Without sand, we would have no highways, high-rises or high-speed trains. Yet sand – which is used here as shorthand for sand, gravel and crushed rock together – is a resource that is both abundant and finite.

In global terms, it is abundant, especially when compared with many other raw materials, albeit often not available close to where it is needed. It is finite in that the rate at which we are using it far exceeds the natural rate at which it is being replenished by the weathering of rocks by wind and water.

Industrialization, population growth and urbanization have fuelled explosive growth in the demand for sand. Precise data on sand extraction are hard to come by and the lack of data compounds the challenge of managing the resource sustainably.

However, the UN estimates that overall extraction could be in the region of 40 billion tonnes per year, driven primarily by construction sector demand. That equates to 18 kilograms of sand each day for every person on the planet and signals how strategically important these resources are for future sustainable development. Post-COVID-19 recovery investment in infrastructure, digital technologies, tourism and other economic activities are dependent on sand resources.

Current efforts to improve the management of sand resources at local, national and global levels are uneven. This is partly due to unique geological features and geography, but also differences in local manifestations of the ‘sand challenge’, national and regional demand for sand resources, as well as capacities to enforce or implement best practice assessment procedures, extractive practices, environmental management and restoration requirements.

We must put stronger conditions in place for a rapid, just and scaled transition to sustainable sand management. But where to focus our efforts for the greatest positive impact?

Loss and damage: Where are we now and what happens next? 25 January 2022 — 1:00PM TO 2:00PM Anonymous (not verified) 17 January 2022 Online

This event discusses the progress of the loss and damage agenda within climate negotiations. 

Loss and damage refers to harms and destruction caused by climate change impacts that cannot be avoided through mitigation or adaptation.

While it has gained increasing recognition in international climate change negotiations, turning the concept of loss and damage into tangible action for climate-vulnerable countries has been contentious.

Loss and damage is interwoven with issues of fairness and equity. The issue is highly disputed due to its connection with the historical responsibility of developed countries in causing climate change, as well as associated calls for compensation from developing countries.

At COP26, Scotland became the first government to pledge funds for loss and damage for countries in the Global South. However, most climate-vulnerable countries left disappointed by the failure of the Glasgow Climate Pact to secure the establishment of a dedicated loss and damage financing facility.

Developing countries have made it clear that they will continue to push for a new financing facility in the Glasgow Dialogue, a set of international discussions on loss and damage kicking off in June.

The Environment and Society Discussion Series is hosting two events on loss and damage ahead of that date. This first event outlines the key debates and discuss what progress has been made on advancing the loss and damage agenda within climate negotiations to date.

The second event focuses on solutions and possible ways forward, looking ahead to the COP27 negotiations in Egypt later in 2022, where loss and damage is expected to be a high-profile agenda item.

A deep dive into loss and damage solutions 8 February 2022 — 1:00PM TO 2:15PM Anonymous (not verified) 31 January 2022 Online

This second event of our loss and damage series cuts through polarized debate by bringing together international experts to discuss innovative legal and financial approaches.

This event will focus on a deep dive into constructive solutions and progress made to address loss and damage.

Following the first event of this two-part series, ‘Loss and Damage – where are we now and what happens next’, this event focuses on a deep dive into constructive solutions and progress made to address loss and damage.

Loss and damage refers to harms and destruction caused by climate change impacts that cannot be avoided through mitigation or adaptation. While it has gained increasing recognition in international climate change negotiations, turning the concept of loss and damage into tangible action for climate-vulnerable countries has been contentious.

Loss and damage is interwoven with issues of fairness and equity. The issue is highly disputed due to its connection with the historical responsibility of developed countries in causing climate change, as well as associated calls for compensation from developing countries.

At COP26, Scotland became the first government to pledge funds for loss and damage for countries in the Global South. However, most climate-vulnerable countries left disappointed by the failure of the Glasgow Climate Pact to secure the establishment of a dedicated loss and damage financing facility.

Developing countries have made it clear that they will continue to push for a new financing facility in the Glasgow Dialogue, a set of international discussions on loss and damage kicking off in June. The Environment and Society Discussion Series is hosting two events on loss and damage ahead of that date.

This second event convenes a deep dive into the progress and potential on loss and damage solutions, while also examining the hurdles that are still to overcome to make loss and damage support a reality.

The Hard Truth Is Rohingya Refugees Are Not Going Home Expert comment sysadmin 6 October 2017

The only likely outcome of the crisis is the near-permanent presence of hundreds of thousands of Rohingya along the Bangladesh border.

The harrowing scenes of human suffering on the Myanmar–Bangladesh border have provoked outpourings of sympathy and some firm statements by international politicians. At least half a million people have been brutally expelled from their homes and are now living in miserable conditions in muddy refugee camps and storm-drenched shanty towns. As the international community debates how to respond, it needs to take a clear-eyed view of the situation and recognise a brutal truth: the refugees are almost certainly not going home.

Consequently, policymakers must not hide behind the fiction that Bangladesh is only temporarily hosting the refugees in preparation for their rapid return home. Over-optimistic assumptions now will lead to worse misery in the long term. Instead, the world needs to plan on the basis that Bangladesh will be hosting a very large and permanent refugee population.

The expulsion of the Rohingya Muslims from Rakhine State in northwestern Myanmar is the culmination of decades of discriminatory policies enacted by the country’s military rulers since 1962. In 1978, the Burmese military’s ‘Operation Dragon King’ pushed 200,000 Muslims into Bangladesh. International pressure forced the military to allow most of them to return. Then, in 1991–92, the military again expelled a quarter of a million people. Bangladesh forced some of them back over the border and eventually the military agreed to allow the United Nations High Commissioner for Refugees to manage the repatriation of most of the remainder.

State-sponsored abuses of the Rohingya and ethnic violence perpetrated against them by chauvinists among the ethnic Rakhine population have continued. The abuse became dramatically worse in 2012 when tens of thousands of Rohingya were forced to flee their homes, although most remained inside the country. This year, armed attacks by self-proclaimed defenders of the Rohingya, the Arakan Rohingya Salvation Army, gave the military an excuse to mount what the UN High Commissioner for Human Rights called ‘a textbook example of ethnic cleansing’.

It is tempting to believe that, as before, the Myanmar government will allow the expelled Rohingya to return after international pressure. However, recent geopolitical developments in southeast Asia and the election of a democratic government in Myanmar in 2015 make this much less likely.

Southeast Asia is now an arena of geopolitical competition between China and its rivals: mainly the United States, India and Japan. All are battling for influence. Both China and India have made public statements of support for Myanmar’s government in the current crisis. In that context, diplomatic pressure or economic sanctions imposed by Europe or the United States will only have one effect – to push Myanmar towards China.

Moreover, those in the EU and US who want to see democracy survive in Myanmar will be unwilling to push the elected government led by Aung San Suu Kyi too far. There is an extraordinary degree of hostility towards the Rohingya among the majority Bamar population. This has broken out into street violence on occasions but even where the situation is calm, anti-Muslim prejudice is easily awoken. The current government is very unlikely to challenge such sentiments at a time when it is trying to preserve its position against the military’s continuing domination of political and economic life.

Myanmar is one of the 10 members of the Association of Southeast Asian Nations but ASEAN is unlikely to impose any meaningful pressure. Only Malaysia has been publicly critical of Myanmar’s government. Indonesia has attempted to mediate – its foreign minister Retno Marsudi has held face-to-face meetings with Aung San Suu Kyi – but without apparent effect. Both countries have sent aid and volunteers to the Rohingya refugee camps but there is absolutely no talk of sanctions or other overt pressure.

The question then is: what will happen to the refugees? One option could be resettlement, but neither Bangladesh nor any of the other states in the region are willing to take them in. Malaysia already hosts 60,000 registered Rohingya refugees and probably another 150,000 unregistered ones. Unknown thousands of Rohingya have fled to Thailand and Indonesia by boat but have often fallen victim to unscrupulous human traffickers in cahoots with local officials. Thailand has already said it will refuse to allow new ‘boat people’ to land.

The only likely outcome therefore is the near-permanent presence of hundreds of thousands of Rohingya along the Bangladesh border. Delaying preparations for a permanent refugee population in the hope that they will be allowed to re-cross the border back into Myanmar will only make the situation worse. Seventy years ago, another ‘temporary’ movement of people into refugee camps created decades of instability around the Middle East. The world must remember the Palestinians as it plans for the future of the Rohingya.

Artificial Intelligence Apps Risk Entrenching India’s Socio-economic Inequities Expert comment sysadmin 14 March 2018

Artificial intelligence applications will not be a panacea for addressing India’s grand challenges. Data bias and unequal access to technology gains will entrench existing socio-economic fissures.

Artificial intelligence (AI) is high on the Indian government’s agenda. Some days ago, Prime Minister Narendra Modi inaugurated the Wadhwani Institute for Artificial Intelligence, reportedly India’s first research institute focused on AI solutions for social good. In the same week, Niti Aayog CEO Amitabh Kant argued that AI could potentially add $957 billion to the economy and outlined ways in which AI could be a ‘game changer’.

During his budget speech, Finance Minister Arun Jaitley announced that Niti Aayog would spearhead a national programme on AI; with the near doubling of the Digital India budget, the IT ministry also announced the setting up of four committees for AI-related research. An industrial policy for AI is also in the pipeline, expected to provide incentives to businesses for creating a globally competitive Indian AI industry.

Narratives on the emerging digital economy often suffer from technological determinism — assuming that the march of technological transformation has an inner logic, independent of social choice and capable of automatically delivering positive social change. However, technological trajectories can and must be steered by social choice and aligned with societal objectives. Modi’s address hit all the right notes, as he argued that the ‘road ahead for AI depends on and will be driven by human intentions’. Emphasising the need to direct AI technologies towards solutions for the poor, he called upon students and teachers to identify ‘the grand challenges facing India’ – to ‘Make AI in India and for India’.

To do so, will undoubtedly require substantial investments in R&D, digital infrastructure and education and re-skilling. But, two other critical issues must be simultaneously addressed: data bias and access to technology gains.

While computers have been mimicking human intelligence for some decades now, a massive increase in computational power and the quantity of available data are enabling a process of ‘machine learning.’ Instead of coding software with specific instructions to accomplish a set task, machine learning involves training an algorithm on large quantities of data to enable it to self-learn; refining and improving its results through multiple iterations of the same task. The quality of data sets used to train machines is thus a critical concern in building AI applications.

Much recent research shows that applications based on machine learning reflect existing social biases and prejudice. Such bias can occur if the data set the algorithm is trained on is unrepresentative of the reality it seeks to represent. If for example, a system is trained on photos of people that are predominantly white, it will have a harder time recognizing non-white people. This is what led a recent Google application to tag black people as gorillas.

Alternatively, bias can also occur if the data set itself reflects existing discriminatory or exclusionary practices. A recent study by ProPublica found for example that software that was being used to assess the risk of recidivism in criminals in the United States was twice as likely to mistakenly flag black defendants as being at higher risk of committing future crimes.

The impact of such data bias can be seriously damaging in India, particularly at a time of growing social fragmentation. It can contribute to the entrenchment of social bias and discriminatory practices, while rendering both invisible and pervasive the processes through which discrimination occurs. Women are 34 per cent less likely to own a mobile phone than men – manifested in only 14 per cent of women in rural India owning a mobile phone, while only 30 per cent of India’s internet users are women.

Women’s participation in the labour force, currently at around 27 per cent, is also declining, and is one of the lowest in South Asia. Data sets used for machine learning are thus likely to have a marked gender bias. The same observations are likely to hold true for other marginalized groups as well.

Accorded to a 2014 report, Muslims, Dalits and tribals make up 53 per cent of all prisoners in India; National Crime Records Bureau data from 2016 shows in some states, the percentage of Muslims in the incarcerated population was almost three times the percentage of Muslims in the overall population. If AI applications for law and order are built on this data, it is not unlikely that it will be prejudiced against these groups.

(It is worth pointing out that the recently set-up national AI task force is comprised of mostly Hindu men – only two women are on the task force, and no Muslims or Christians. A recent article in the New York Times talked about AI’s ‘white guy problem’; will India suffer from a ‘Hindu male bias’?)

Yet, improving the quality, or diversity, of data sets may not be able to solve the problem. The processes of machine learning and reasoning involve a quagmire of mathematical functions, variables and permutations, the logic of which are not readily traceable or predictable. The dazzle of AI-enabled efficiency gains must not blind us to the fact that while AI systems are being integrated into key socio-economic systems, their accuracy and logic of reasoning have not been fully understood or studied.

The other big challenge stems from the distribution of AI-led technology gains. Even if estimates of AI contribution to GDP are correct, the adoption of these technologies is likely to be in niches within the organized sector. These industries are likely to be capital- rather than labour-intensive, and thus unlikely to contribute to large-scale job creation.

At the same time, AI applications can most readily replace low- to medium-skilled jobs within the organized sector. This is already being witnessed in the outsourcing sector – where basic call and chat tasks are now automated. Re-skilling will be important, but it is unlikely that those who lose their jobs will also be those who are being re-skilled – the long arch of technological change and societal adaptation is longer than that of people’s lives. The contractualization of work, already on the rise, is likely to further increase as large industries prefer to have a flexible workforce to adapt to technological change. A shift from formal employment to contractual work can imply a loss of access to formal social protection mechanisms, increasing the precariousness of work for workers.

The adoption of AI technologies is also unlikely in the short- to medium-term in the unorganized sector, which engages more than 80 per cent of India’s labor force. The cost of developing and deploying AI applications, particularly in relation to the cost of labour, will inhibit adoption. Moreover, most enterprises within the unorganized sector still have limited access to basic, older technologies – two-thirds of the workforce are employed in enterprises without electricity. Eco-system upgrades will be important but incremental. Given the high costs of developing AI-based applications, most start-ups are unlikely to be working towards creating bottom-of-the-pyramid solutions.

Access to AI-led technology gains is thus likely to be heavily differentiated – a few high-growth industries can be expected, but these will not necessarily result in the welfare of labour. Studies show that labour share of national income, especially routine labour, has been declining steadily across developing countries.

We should be clear that new technological applications themselves are not going to transform or disrupt this trend – rather, without adequate policy steering, these trends will be exacerbated.

Policy debates about AI applications in India need to take these two issues seriously. AI applications will not be a panacea for addressing ‘India’s grand challenges’. Data bias and unequal access to technology gains will entrench existing socio-economic fissures, even making them technologically binding.

In addition to developing AI applications and creating a skilled workforce, the government needs to prioritize research that examines the complex social, ethical and governance challenges associated with the spread of AI-driven technologies. Blind technological optimism might entrench rather than alleviate the grand Indian challenge of inequity and growth.

This article was originally published in the Indian Express.

Climate Change and the Pacific: Impacts and Adaptation 27 November 2018 — 8:30AM TO 10:00AM Anonymous (not verified) 14 November 2018 Royal Academy of Arts

Refugees and migration

Examining the humanitarian and policy challenges in dealing with the highest global number of refugees and displaced people since the Second World War.

There are many reasons why people cannot stay in their own countries. Many flee from violence, war, hunger, extreme poverty, because of their sexual or gender orientation, or from the consequences of climate change.

But also many believe they have a better chance of finding work in another country because they have the education or capital to seek opportunities elsewhere, they may want to join relatives or friends, or want to start or finish their education.

Chatham House research helps facilitate dialogue between an increasingly diverse group of actors influencing refugee and migration policy globally, enhancing cooperation and contributing to the identification of practical solutions. 

The Moving Energy Initiative is a ground-breaking international partnership which examines the provision of sustainable energy for refugees and displaced people, giving particular consideration to the context of the displaced communities, such as their cultural traditions, collective capacities, needs, and technology available to them.

Gender and equality

Exploring empowerment in areas such as women’s rights, equality and discrimination, the sharing of unpaid work, and the role of gender in achieving the SDGs.

Many women are still excluded from economic decision-making within their own household, receive lower salaries than men, and work longer hours. They are also often excluded from the labour market, do not have access to finance, and are denied property rights.

Wider areas of interest include examining the potential for foreign policies that prioritize gender equality, the physical, cultural and practical challenges to integrating women into close combat roles in the military, and the future of women in peace and security.

Equality and diversity research work also examines why people from black and minority ethnic groups still do less well in terms of education and the jobs they do than people from other groups, and considers the rights of workers across the world. It is strongly linked with promoting human rights and freedoms, based on principles such as dignity and respect.

Webinar: Hong Kong: Dissent in the Age of Coronavirus 17 April 2020 — 12:00PM TO 1:00PM Anonymous (not verified) 8 April 2020

Street protests demanding greater autonomy and democratization in Hong Kong upended the city for seven months last year. However, with the outbreak of the coronavirus in China in late January, the protests quickly died out. What does this mean for the city’s protest movement?

The speaker will argue that, despite the lack of high-profile street rallies, protest in the city is continuing. It is building on and evolving from last year’s protest movement albeit in different forms. At the same time, the Hong Kong authorities, emboldened by a hard line from Beijing, have begun cracking down on activists and protesters in the city as they seek to put a lid on dissent ahead of important Legislative Council elections scheduled for this September.

In this webinar, the speaker will look at the current state of dissent in Hong Kong and prospects for Hong Kong’s future.

This event will be held on the record.

The 2020 Inner Mongolia Language Protests: Wider Meanings for China and the Region 24 November 2020 — 3:00PM TO 4:00PM Anonymous (not verified) 12 November 2020 Online

Speakers discuss the historical roots of the language issue, as well as the wider significance of the protests in China.

Please note this is an online event. Please register on Zoom using the link below to secure your registration.

In September thousands of people protested in Inner Mongolia in opposition to a government move to replace Mongolian language with Standard Mandarin in three school subjects – history, politics and Chinese language.

Announced less than a week before the start of the new school year, the policy also requires schools to use new national textbooks in Chinese, instead of regional textbooks. The mass protests and classroom walk-outs reflect ethnic Mongolian’s anxiety that their native language may be eliminated. What has the government’s response to the protests been?

Gurmeet K. Bakshi, Jyoti Garg and Gabriela Olteanu
Math. Comp. 93 (), 3027-3058.
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Zhaonan Wang and Yingpu Deng
Math. Comp. 93 (), 2921-2942.
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Haiyong Wang
Math. Comp. 93 (), 2861-2884.
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Thomas O. Gallouët, Andrea Natale and Gabriele Todeschi
Math. Comp. 93 (), 2769-2810.
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Zhaohui Fu, Tao Tang and Jiang Yang
Math. Comp. 93 (), 2745-2767.
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David M. Williams and Qingguo Hong
Math. Comp. 93 (), 2587-2609.
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Math is often described as the science of patterns, which makes it a natural subject to help in the study of the underlying causes of patterns found in nature, for example, bands of vegetation that often occur on gently sloped terrains in certain near-desert ecosystems worldwide. We are starting to learn more about these bands' common properties by using mathematical models built on data, such as rainfall totals and the curvature of the terrain. Mary Silber talks about these mathematical models of vegetation bands.

Ricardo Bermudez-Otero and Tobias Galla discuss the mathematics describing the evolution of human languages. The sounds and structures of the world's approximately 7,000 languages never stop changing. Just compare the English in Romeo and Juliet or the Spanish in Don Quixote to the modern forms. But historical records give an incomplete view of language evolution. Increasingly, linguists draw upon mathematical models to figure out which features of a language change often and which ones change more rarely over the course of thousands of years. A new model inspired by physics assigns a "temperature" to many sounds and grammatical structures. Features with higher temperatures are less stable, so they change more often as time goes on. The linguistic thermometer will help researchers reconstruct how our languages came to be, and how they might change in future generations.

Lorin Crawford explains how he uses math to analyze interactions between genes. Your DNA (the biological instruction manual in all of your cells) contains a mind-boggling amount of information represented in roughly 20,000 genes that encode proteins, plus a similar number of genes with other functions. As the cost of analyzing an individual's DNA has plummeted, it has become possible to search the entire human genome for genetic variants that are associated with traits such as height or susceptibility to certain diseases. Sometimes, one gene has a straightforward impact on the trait. But in many cases, the effect of one gene variant depends on which variants of other genes are present, a phenomenon called "epistasis." Studying such interactions involves huge datasets encompassing the DNA of hundreds of thousands of people. Mathematically, that requires time-intensive calculations with massive matrices and a good working knowledge of statistics.

Malena Espanol explains how she and others use linear algebra to correct blurry images. Imagine snapping a quick picture of a flying bird. The image is likely to come out blurry. But thanks to mathematics, you might be able to use software to improve the photo. Scientists often deal with blurry pictures, too. Linear algebra and clever numerical methods allow researchers to fix imperfect photos in medical imaging, astronomy, and more. In a computer, the pixels that make up an image can be represented as a column of numbers called a vector. Blurring happens when the light meant for each pixel spills into the adjacent pixels, changing the numbers in a way that can be mathematically represented as an enormous matrix. But knowing that matrix is not enough if you want to reconstruct the original (non-blurry) image.

Dr. Stan Wagon of Macalester College discusses the mathematics behind rolling a square smoothly. In 1997, inspired by a square wheel exhibit at The Exploratorium museum in San Francsico, Dr. Stan Wagon enlisted his neighbor Loren Kellen in building a square-wheeled tricycle and accompanying catenary track. For years, you could ride the tricycle at Macalester College in St. Paul, Minnesota. The National Museum of Mathematics in New York now also has square-wheeled tricycles that can be ridden around a circular track. And more recently, the impressive Cody Dock Rolling Bridge was built using rolling square mathematics by Thomas Randall-Page in London.

Soun-Hi Kwon
Trans. Amer. Math. Soc. 377 (), 6021-6022.
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Yinji Li, Zhiwei Wang and Xiangyu Zhou
Trans. Amer. Math. Soc. 377 (), 5947-5992.
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Otto Overkamp
Trans. Amer. Math. Soc. 377 (), 5863-5903.
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Song Dai and Qiongling Li
Trans. Amer. Math. Soc. 377 (), 5445-5481.
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Anne-Miek Bibbe posted a photo:

JOEPIE: I'm almost there! I wish Uncle Jeroen was here, I'm a little, really just a little bit afraid of the dark.
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JOEPIE: Ik ben bijna bij Peter! Ik wou dat oom Jeroen hier was, ik ben een beetje, echt maar een héél klein beetje bang in het donker.

Denise Uwamariya and Xiangfeng Yang
Theor. Probability and Math. Statist. 111 (), 167-179.
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Ta Cong Son, Tran Manh Cuong, Le Quang Dung and Le Van Dung
Theor. Probability and Math. Statist. 111 (), 153-165.
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Claudio Macci and Barbara Pacchiarotti
Theor. Probability and Math. Statist. 111 (), 21-43.
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Abdessamad Dehaj and Mohamed Guessous
Theor. Probability and Math. Statist. 111 (), 1-8.
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Gabriele Benedetti, Johanna Bimmermann and Kai Zehmisch
Proc. Amer. Math. Soc. 152 (), 5367-5372.
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