The COVID-19 global pandemic has thrown the world into chaos and plunged us all into a sea of incomprehensible numbers. These have been shocking, frightening and humbling. Perhaps, as never before, humans around the world have listened out for the daily stats – hanging on their every digit and trying to predict the direction of travel. Are they numbers we can trust? What do they really mean? And how can they help us in our hour of need?
While at times, it seems impossible to navigate this tide of figures – where every number represents a life – there has been a steady voice, calmly and quietly probing the data, checking the facts, interrogating the sources and asking how can the statistics best serve us and show us the reality of a situation that moves in bewildering ways.
Tim Harford, presenter of BBC Radio 4's More or Less, FT journalist, author of 'How to Make the World Add Up' and associate member of Nuffield College, Oxford, shares his golden rules for finding the truth in data.
Listen to Tim Harford in conversation with Ruth Abrahams, recorded at the start of October, 2020. How can the data help us in our current crisis?
Tim Harford delivers an Oxford Mathematics Online Public Lecture: 'Tim Harford - How to Make the World Add up' on Thursday 8 October 2020. Details here.
By Richard Lofthouse
If reunited with her pre-university self or other high school students today, Dr Chao Mbogo (St Catz, 2005) says that her summary advice is: don’t get fixated on ‘I want to be X’. ‘There’s too much pressure to decide what you want to be too early. Take your time to discover the areas of real interest. They often come later and that was my experience.’
The first ever Kenyan to receive the prestigious OWSD-Elsevier Foundation Award earlier this year, Dr Mbogo, who is Dean of the School of Science and Technology at the Kenya Methodist University, has had an amazing career so far.
It’s a long way away from a childhood in the south western Kenyan town of Migori, where Chao remembers having no access to computers while growing up
Besides her faculty position she is the Founder and Program Lead for KamiLimu, a student mentoring program that was began entirely informally three years ago.
‘I wanted to help a larger group of students with skill building that I had identified as lacking, partly through my own experiences. The name of the non-profit organisation is a play on Swahili words meaning ‘whole education.’
One of the skillsets students need is how to successfully apply for a scholarship. Dr Mbogo not only got into the Masters in Computer Science programme at Oxford but did so with a full scholarship through the Shell Centenary Foundation.
‘I sent out an email to a few students offering informal mentoring, but suddenly had forty students wanting help. It became a group situation and snowballed from there,’ she says.
I sent out an email to a few students offering informal mentoring, but suddenly had forty students wanting help. It snowballed from there
She identifies five areas where students need to build competence outside the immediate curriculum of a degree– scholarship application skills; innovation, such as how to identify a ‘good problem’ and design a user-centered solution through computer programming or other tech skills; professional development, such as interview skills and CVs; personal development, such building resilience and self-confidence, and maintaining mental health (more importance than ever in the COVID pandemic year she notes); and finally community engagement and giving back, whether locally or internationally.
Although for now within Kenya, Dr Mbogo says that with its own organisational structure and a committee, the work at KamiLimu is a life-long commitment. ‘These skills are universally required yet often elusive in terms of formal education…’
It’s a long way away from a childhood in the south western Kenyan town of Migori, where Chao remembers having no access to computers while growing up. She did, however, have a huge love of mathematics and realised later that it could transfer to computer programming. She saw an advert for a degree programme in Maths and Computer Science at a Kenya Methodist University and her parents agreed to support her application. That’s where it all began.
After an algorithm-oriented interview test that Oxford’s Department of Computer Science requested, and some wait, Dr Mbogo remembers getting the acceptance email
Having smashed it all the way through university, then came the painful business of rejection from some universities for a Masters programme but not from Oxford, although there was a tangle over whether or not her application had been received (moral: ‘don’t hesitate to ask if in doubt…’).
After an algorithm-oriented interview test that Oxford’s Department of Computer Science requested, and some wait, Dr Mbogo remembers getting the acceptance email. ‘I just quickly checked my email before going out, and there it was… I was so thrilled I kept it to myself for a whole day, almost to check if it was still real – then I told everyone.’
I was completely challenged – I had to re-learn all my expectations, but it was healthy
St Catz was a great experience although being mixed up with noisier undergraduates led to a relocation early on, while the early days were ‘a daze’ and being exposed to a mega-competitive environment having always been top of the class had the near-universal shock factor common to almost everyone (‘I was completely challenged – I had to re-learn all my expectations, but it was healthy.’)
After a hectic year resulting in her degree, Dr Mbogo was then able to work at Oxford University Press as a publications assistant, extending her thesis research into a second year working on software that could automate classroom scheduling within a complex university organisation. From there she moved to Cape Town for her PhD and subsequently to Kenya Methodist University as faculty.
By engaging the help of an User Interface Engineer and painstakingly rebuilding the app she believes it could unleash the creativity of a whole new generation of Kenyan programmers whose talents might otherwise be lost – and perhaps women especially
Her other huge project in late 2020 concerns the total rewriting of an app that originated in her PhD research, that allows students with no access to a computer to learn computer programming using only a phone, a really complex nut to crack but one that is nearing completion. Dr Mbogo says that it’ll hopefully launch before the end of the year, and will be accessible to the public and completely free to use.
Her receipt of the OWSD-Elsevier Foundation Award is, she recognises, one of the biggest things that has happened because it’s a hugely prestigious award and offers confirmation that what she’s doing is valuable and has recognition beyond Kenya.
Her total lack of exposure to a computer while at high school remains a huge problem in the developing world schools where the infrastructure and resources are lacking. By engaging the help of an User Interface Engineer and painstakingly rebuilding the app she believes it could unleash the creativity of a whole new generation of Kenyan programmers whose talents might otherwise be lost – and perhaps women especially.
She laughs with a wave of the hands – ‘I can’t tell you yet what the app is called! We haven’t named it yet but we will. The point now is to get it right. Then we’ll launch it!’
By Hunter Doughty and Joss Wright
Targeted advertising and news coverage are powerful, and controversial, tools for influencing human perceptions and behaviour. This influence can be perceived as exploitative – notoriously Cambridge Analytica’s alleged influence in the Brexit referendum and the 2016 US Presidential election. Such cases have received widespread attention and raised ethical questions around whether, or how, these tools should be used. But do they, unwittingly, reveal new conservation solutions?
As researchers working to improve conservation of the world’s wildlife, we wondered: could we, and should we, subvert these tools’ main use of peddling products and political ideals, to instead promote positive conservation messages?
Singapore is a top saiga horn consumer country, so we implemented a behaviour change intervention to attempt to shift Singaporean saiga horn consumers towards more sustainable TCM treatments such as chrysanthemum tea
One species under significant trade impact is the saiga antelope - a Critically Endangered animal from Central Asia, whose horn is used in traditional Chinese medicine (TCM) and often marketed as líng yáng, 羚羊. Singapore is a top saiga horn consumer country, so we implemented a behaviour change intervention to attempt to shift Singaporean saiga horn consumers towards more sustainable TCM treatments such as chrysanthemum tea. Based on findings from our initial research, we decided to test whether strategic advertising of news media would be an effective way to engender desirable responses among a target audience of middle-aged women (who were selected because they are most likely to purchase saiga horn for both themselves and their families).
Algorithms have identified that the more individuals see something, the more attractive or trustworthy it appears
It is well evidenced that repeated exposure to an idea increases the chance that an individual will ‘adopt’ that idea. This is why advertisers show adverts over and over, and why YouTube repeatedly serves up the same suggested videos. The algorithms have identified that the more individuals see something, the more attractive or trustworthy it appears. Similarly, the more that we hear an idea directly from other people, the more it is ‘socially reinforced’ as being good or accurate.
Targeted online advertising, built on profiling individuals’ online activity, underpins the business model of most large online services
Targeted online advertising, built on profiling individuals’ online activity, underpins the business model of most large online services, and has proven highly effective at directing an audience’s attention in a way that maximises profits for both advertisers and platform operators. Targeted advertising makes use of demographic data, online activity, social networks, and a myriad of other data points to present adverts to the ideal consumer and, crucially, provides a wealth of information back to the advertiser concerning which groups saw adverts, how well they were received, and how widely the message spread.
Would it be possible to use this understanding of human behaviours and these tactics for social good?
The source of the advertisement, however, also matters. Sources that are perceived as trustworthy to an audience give greater weight to the content. News coverage in particular, whether offline or online, can often fill the role of a trustworthy source. On their own, news stories can certainly have influence over us, as shown through research around voting and health behaviours; but brought together, repeated exposure to news content via targeted advertising forms a powerful one-two punch of behavioural influence.
We employed targeted online advertisements through Facebook, Google, and Outbrain to promote news articles discussing the origin of saiga horn products as being from an endangered species
Would it be possible to use this understanding of human behaviours and these tactics for social good? To test this approach in the fight to save the saiga we employed targeted online advertisements through Facebook, Google, and Outbrain to promote news articles discussing the origin of saiga horn products as being from an endangered species. Advertising performance and in‐depth Facebook analyses let us assess audience response both at scale and in detail. Our message spread extensively through Singapore’s media, with our adverts being shown almost five million times, and with the story running on at least seven news outlets, including some of the largest and most trusted outlets in Singapore.
There were widespread desirable audience responses
Our analysis found that there were widespread desirable audience responses, exemplified by 63% of Facebook users' engagements showing identifiably positive features, such as calls for public action to reduce saiga horn consumption, anger at having unknowingly used an endangered species, and self‐pledges to cease using saiga horn products. By contrast, only 13% of engagements showed identifiably negative features. Following the results of the online intervention, we are now carrying out an on-the-ground evaluation to assess how this observed online response translates into real-world behaviour change.
Our research demonstrates that the use of targeted advertising to promote conservation messages through news media has promise. The capabilities of online advertising to directly target consumers of unsustainable products, and the information subsequently available to researchers to analyse advert performance, makes their use particularly effective. Merging these techniques with news content for social good can greatly augment the reach and influence of these positive messages.
Hunter Doughty is a Doctoral Researcher based at the Department of Zoology and Joss Wright is a Senior Research Fellow based at the Oxford Internet Institute. This research is part of the Oxford Martin School Programme on Illegal Wildlife Trade.
Read the full open-access paper, ‘Strategic advertising of online news articles as an intervention to influence wildlife product consumers’ in Conservation Science and Practice.
Read background research: ‘Saiga horn user characteristics, motivations, and purchasing behaviour in Singapore’, published in PLOS One, December 2019.
Oxford researchers are working with colleagues in sub-Saharan Africa to change a 90% death rate, into a 90% cure rate.
According to the World Health Organisation, cancer is a leading cause of death for children and adolescents worldwide, with blood cancers such as leukaemia and lymphoma being the most common. In high-income countries more than 80% of children with cancer are cured, but in many low- or middle-income countries, only 20% are cured.
Childhood blood cancer kills thousands of children every year in sub-Saharan Africa. A subsection of blood cancers known as Epstein-Barr Virus-related lymphomas (or EBV lymphomas) are particularly deadly, and have become the focus of a new international global health collaboration which hopes to improve EBV lymphoma treatment and diagnosis, AI-REAL (Aggressive Infection-Related East Africa Lymphoma).
Traditional but painful and expensive diagnostic procedures, such as invasive needle biopsies, are currently more commonly used in sub-Saharan Africa due to a lack of advanced equipment. Only 29% of hospitals in Tanzania and Uganda have the required surgeons to perform these procedures.
As a result, many children are going undiagnosed and untreated leading to an astonishing 90% death rate from EBV driven lymphomas. But through improved equipment, training and access to advanced diagnostic technologies, AI-REAL aims to turn this 90% death rate into a 90% cure rate.
Professor Anna Schuh, Professor of Haematology at the University of Oxford leads this new UK-Africa project, which aims to bring the next generation of diagnosis technology to Tanzania and Uganda. Prof. Schuh hopes the in-country testing process for EBV lymphomas can be further developed, in order to improve early diagnosis and chances of survival.
Schuh says, ‘There are currently 43 pathologists in Tanzania for 56 million people alone, so there is a big need to improve the capacity for early diagnosis through access to diagnostic software and training. By bringing in these new technologies we hope to train the future generation of clinicians and scientists to speed up diagnosis and improve the lives of millions of children in sub-Saharan Africa.’
Professor Schuh and her team will be visiting Africa during the duration of the project to provide training in various techniques and equipment, such as next generation genetic sequencing technology and artificial intelligence tools, with the hope of minimising patient pain and delivering faster diagnoses.
By sharing these best practices and bringing the latest technological advances in genetic testing in country, it is possible to set up effective and affordable cancer diagnostics through the use of simple blood tests to screen for cancer.
This project was launched in February 2020, and is a partnership between the University of Oxford and medical teams in the Muhimbili National Hospital, Kilimanjaro Christian Medical Centre, St Mary’s Hospital (Lacor) and Muhimbili University of Health and Allied Sciences, with funding from the NIHR RIGHT Programme. September is Blood Cancer Awareness month. To find out more about blood cancers, visit the Blood Cancer UK website.
To tackle the climate crisis and accelerate the transition to renewable energy sources, we urgently need to build more energy storage. As part of Energy Superhub Oxford, the University of Oxford’s Department of Engineering Science is developing an advanced technical model which will give unprecedented insight into battery performance. Jorn Reniers, Postdoctoral Researcher at the Department talks black boxes, computational challenges and how engineers can help address societal problems.
Tell us about the University’s Department of Engineering Science
The University of Oxford’s Department of Engineering Science is world leading and covers the entire spectrum of engineering disciplines, from traditional engineering like turbines or heat flow to cutting-edge topics like machine learning. Across the university the departments are very interconnected which is great because you always have an eye on the bigger picture you’re trying to solve, rather than looking at a technical problem in isolation.
What insight and expertise does it bring?
Our research group at the Department is the Battery Intelligence Lab, and as you can infer from the name, we research batteries and specifically lithium-ion batteries. We understand how they work, their efficiencies in terms of thermal behaviour, degradation and all these other things. That’s important because these details are really hidden and the investors and developers building and operating these batteries don’t necessarily have that level of insight into how high-level decisions will impact individual cells.
What is your role within Energy Superhub Oxford?
My role within ESO is to create a digital twin of the grid battery. This is basically a model of the physical asset which can simulate every individual component inside the battery and how they work together. A lot of physical assets are black boxes. When you buy an asset the manufacturer provides a data sheet on how you should use it and what you should expect from it. For instance, a battery will tell you how often it can be charged or discharged at certain power levels, and what efficiencies and behaviour you can expect. It’s a very high-level overview when what you actually have is a field full of containers of tens of thousands of cells.
The digital twin allows you to understand how everything works together, and more importantly to test different scenarios. If you have an asset which is worth tens of millions of pounds, you don’t want to do something in the real world unless you’re certain it will work, because it’s quite expensive if you make a mistake.
What challenges have you encountered developing this model?
The main challenge has been a computational challenge because the battery contains hundreds of thousands of components and you want to simulate them all individually. Simulating a 1 MWh battery would take a couple of hours so it’s always a challenge to make sure that the model is both efficient and accurate. You don’t want to ignore some important physics or other interactions while keeping everything computationally under control.
How will the model interface with the hybrid battery when it goes live?
We’re aiming to have API access where we can pull live operating data from the database. Our model will interpolate between these datapoints and simulate things for which we don’t have datapoints. So, it will try and estimate, “OK. Where is the real battery currently at,” and “OK, now we think this would happen,” and when the next datapoint comes in a minute later it will compare and see how accurate its prediction was. It will keep doing this until it can confidently predict what is happening between datapoints.
How can the model support energy storage growth globally?
I think the biggest issue is uncertainty, because this is still a relatively new technology and it is being improved year-on-year. And uncertainty always reduces the investment you get because it reduces the business case. Our model aims to provide a reliable tool which can give investors more confidence and improve the business case, and in turn unlock more investment into grid-connected batteries.
What do you find most exciting about working on Energy Superhub Oxford?
Our role as engineers in society is to take new discoveries from science and bridge the gap between what works in the lab and what works for people in the real world in an economic setting. What I find exciting about Energy Superhub Oxford is the sheer scale of the battery. We know lithium-ion batteries work for a phone, and the project is trying to see, “Well, can it actually scale up from a phone to containers, to a field full of containers and so on?” And the collaboration between industry and academia means we can access data about how these batteries will be used in the real world and transfer learnings from the lab to the real world.
What changes are you hoping to see in the energy sector over the next decade?
I would like to see an increased contribution of renewable energy sources, whether they are onshore of offshore wind, PV or some other novel type of renewable energy source. I think that’s a change that is happening, but if we want to have more of these renewable energy sources we need flexibility to help manage their intermittency.
Batteries are one of the options, but there are other options too, such as smart charging of electric vehicles and so on. What I really hope is that this flexibility is not delivered with traditional solutions such as gas plants or coal plants because that would negate a lot of the benefits from the increased amount of renewable energy sources.
How do you think Energy Superhub Oxford can help to deliver these changes?
My background is in power system engineering, and in power system engineering things are always big. You always talk about gigawatts, which is a thousand megawatts, which is a million kilowatts. If you see a transformer it’s the size of a room, and if you then come and say, “Oh, we need storage,” the problem there is a battery cell is really small. It can charge your phone, but we would need billions of batteries to solve the problem we have.
But Energy Superub Oxford is saying, “Look, you can take this small technology and scale it up to solve a real problem.” This applies equally to the rapid electric vehicle charging and the heat pumps, as well as the battery. These are all relatively small technologies on the scale of the power system, but we are showing how multiple of these small things can be combined to have a meaningful impact to help solve the problem we face.
Do you see any positives coming out of this period of lockdown for the energy transition?
I think lockdown has helped people to realise they don’t need to drive everywhere, maybe they can work from home on some days, perhaps not every day, but you start to think about things differently. I think that reduction in transport is really a big advantage in terms of the long term changes, both technical changes, but also the psychological and behaviour changes that we really need for people to adapt and make sure we can be more sustainable in the future.
This post was kindly reproduced with the permission of Energy Oxford Superhub.