Technology

With data, responsibility: The Importance of Data Protection Impact Assessments (DPIAs) in aid

Is your organisational data sufficiently secure?

Is your organisational data sufficiently secure?

Aid agencies, public health bodies, and health innovators are harnessing the rapidly accelerating improvements in data capabilities to deliver better health and wellbeing outcomes for service users and beneficiaries. Increasingly, smaller organisations are empowered to gather, process, analyse, and act on larger databases with attractively small investments in time and capital. Ostensibly, the calculus is clear: if gathering large quantities of personal data that informs strengthened decision-making is becoming easier, it would be irresponsible for an organisation not to build databases with the intention of improving outcomes.

Yet, this era of year-on-year emergence of new, reality-changing tools has demonstrated an unavoidable truth: technology is never neutral. Technology used in aid contexts is usually developed far from where it is deployed, and can carry with it implicit biases that distort its utility and curb its benefits. Equally, improvements in technological capabilities in the hands of healthcare and aid providers can serve -at least initially- to further widen inequalities between those with access to innovative and those without. Often in aid, these inequalities manifest clearly along the dynamics of provider/recipient.

Technology is never neutral: it can magnify implicit biases and -if deployed irresponsibly- further entrench inequalities, particularly in aid settings

The ability to gather large sets of personal data are an acute example of this divide. Take, for example, healthcare and aid providers working in low-resource settings. If they choose to harness large personal data gathering and processing tools to build large datasets, comprised of personal information relating to local beneficiaries, they are at once equipped with technological potential that is likely inaccessible locally and additionally entrusted with highly sensitive material relating to many local individuals. It is incumbent for such actors at the privileged end of a power disparity to use their position with utmost responsibility.

Good data practice is not only an ethical responsibility - international regulation now makes it compulsory

This is where Data Protection becomes paramount. Many humanitarian actors now are subject to the European General Data Protection Regulations (GDPR). The donor community — including EU Humanitarian Aid — now require their partners to demonstrate good data practices, including the implementation of Data Protection Impact Assessments for projects that may process, store or share personal data. This includes names, photographs of people, and even CVs. Data ethics goes beyond the procedural programming of safeguards and several guidelines and frameworks exist that can help build projects and teams on solid ethical foundations.

We are ready to support you in implementing the most appropriate tools and frameworks to your operations: analysing your system in order to apply the most relevant adaptation without disturbing your day-to-day operations, in a smooth and efficient manner. With the growing complexity of the data-driven services offered and the risk of social exclusion inherent in opting out of various technologies, individuals are disadvantaged when asked to provide informed consent for their data to be collected and used. This gulf between uptake and understanding has been met by legal frameworks implemented by governments and intra-governmental organisations (such as the EU’s GDPR), aimed at regulating data policies and enabling individuals to trust that their information is being handled responsibly. We help your organisation anticipate needs, and to actively shape the data ecosystems to meet said needs.

For more information, see our complete DPIA Service offering here.

If you would like to collaborate with Outsight International, please use our contact form to get in touch.

The Chatbot Series: Part One: What is a chatbot?

What is a chatbot? Probably not this…

What is a chatbot? Probably not this…

The wide use of chatbots has increased dramatically since the start of the COVID-19 pandemic. Their use as a tool for public information has proven extremely effective over previous dissemination tools such as websites or hotlines, due to their targeted and adapted answers. The use of chatbots has now gained a firm foothold in humanitarian and development organisations (HDOs) — with these organisations looking to provide adapted systems to different communities that they serve.

At Outsight International, we have a number of experiences working with chatbots in the past. In this blog, Devangana Khokhar, Hanna Phelan and Michelle Chakkalakal provide and overview of what chatbots are and how they can be used. Stay tuned for a follow-up blog on key considerations when designing a chatbot.

What’s a chatbot? The Types of chatbots

Chatbots are a relatively recent addition to the world of human computer interaction. While Question-Answering systems have existed for a long time — powered by both rule engines as well as Artificial Intelligence (AI) —, recent advancements in the world of Natural Language Processing (NLP) have made it possible and convenient to build chatbots that are context-aware and optimise the interaction between a human and a machine.

Chatbots come in a number of different forms. At their most basic, they are a tool for automation. Chatbots can vary from very simple ‘rule-engines’ that work like integrated voice recognition (IVR) where users select predefined options to more advanced forms of computer programming that use natural language processing (NLP) and artificial intelligence (AI) to provide genuinely responsive experiences.

Broadly speaking, we can break chatbots down into three main categories:

  1. Rules-/Menu-Based Chatbots: Users can select options using a pre-defined scenario tree, similar to integrated voice recognition menus. You can tell you're using a menu-based chatbot, when the prompt is something like: Hi I'm Pavi, your friendly customer service agent, and I can help you with these issues. Please select your issue from this drop-down menu or press this number/letter etc...

  2. Hybrid Bots: Users can select their issues from a pre-existing menu or they can type their question in. It looks something like this. Hi, I'm John. How can I help you today? Select your issue from this menu OR type in your question below. The more complex the issue, the greater the chance a company is using a combination of pre-defined scenario trees, mechanical turk (a human assisting the language sorting), and training its AI with more queries. This approach works well when a certain set of frequently-asked questions are known along with their answers, thereby solving the cold start problem.

  3. AI Chatbot: Users can interact with the bot by typing their question, and the bot powered by AI and NLP to find the answer. Such chatbots often work with engines that extract and understand the intent as well as the entity/entities tied to that intent from the user’s query. The identified intent as well as the entity/entities are used to query a knowledge base in order to build the context and respond to the user with that context. There have been recent advancements in context and next-step prediction inspired by the use of AI in the gaming world that allows the system to predict the next question that a user is going to ask thereby improving the end user experience.


chatbots in the humanitarian and development sector

As mentioned, chatbots have started to be used by a wide range of actors looking to impart information or provide services to populations quickly and in a more personalised way. For many HDOs, this theoretically fits well with their model of responsive operations that can reach swathes of beneficiary groups in an on-demand manner.

However the success of chatbots is often determined by the consideration that went into their design and implementation. How one looks understands the problem they are trying to solve — taking a system view, involving AI, the user experience, and the feedback loops — determine the longevity of the solution.

To consider the different approaches to chatbots, we have identified two case studies from the sector which we think took differing approaches to chatbot design.

Case study 1: Praekelt.org - Scaling COVID-19 Truths

World Health Organization: HealthAlert from praekelt.org

World Health Organization: HealthAlert from praekelt.org

WhatsApps has received a lot of negative press in the past 12-months over concerns with their role as a channel where COVID-19 misinformation was rife, as well as over updates to their privacy policy.

Despite this, many organisations recognised that WhatsApp — with 1.6 billion users — would have to be addressed if evidence-based public health awareness was to prevail. Enter, Praekelt.org and their chatbot-based solution Turn.io. The South African organisation focused on building technical infrastructure to provide users with information hotlines and chatbots to understand which healthcare services were available and what precautions should be taken to remain safe during the pandemic. The solution soon attracted interest from a number of significant healthcare stakeholders including the World Health Organisation (WHO) and governments of Ethiopia and Mozambique. This was the first time WHO has used the WhatsApp for Business API.

Since its launch, the chatbot has been used by over 12 million users around the world, seeing a particular peak in usage in locations experiencing spikes in infections. The offering has since been made available free of charge by Praekelt.org and Turn.io to any ministry of health worldwide.

Beyond the COVID-19 chatbot use case, Turn.io has been developed to address a variety of other needs. One such partnership is in collaboration with Girl Effect, an international non-profit supporting adolescent girls in low- and middle-income countries (LMIC) to make informed health and wellbeing choices. The initial pilot of this chatbot solution was launched in South Africa for girls between the age of 13-17 to answer questions that may be difficult to raise in another forum, concerning emotional, social, and practical elements of sex and relationships. The Girl Effect chatbot has since been tested in three other countries (Nigeria, Philippines and Tanzania), with over 10,000 users having interacted with ‘Big Sis’ — the chatbot’s ‘persona’.

The scale and speed of rollout for this particular solution is impressive. However WhatsApp data privacy concerns will have to be addressed head-on going forward particularly when considering implementations for vulnerable communities.

Case study 2: Babylon Health GP at Hand Decision Support Chatbot

The Babylon Health chatbot

The Babylon Health chatbot

Babylon Health is in many ways a digital health success story now employing over 1,000 people in the UK, US and Rwanda, however it hasn’t all been smooth sailing. Babylon, since their founding in 2013 have embedded themselves in the UK’s NHS — offering a consumer facing AI-powered decision support tool and other telehealth interactions where users can access video or phone consultations with NHS clinicians and book in-person appointments.

The main concern around Babylon has been centred around the ambition of the AI diagnostic and triage chatbot. While the company claimed that the chatbot element was not intended to act as a validated diagnosis, critics pointed to methodological concerns; especially in their claims that the Babylon chatbot outperformed the average human doctor on a subset of the Royal College of General Practitioners exam. Questions included whether the Babylon chatbot would perform as well in real-world situations with data being entered by people with no clinical experience and additionally if it would be as successful in a more unusual situations. According to a recent paper in the BMJ, it would not. There have been calls for independent review of these types of solutions and increased regulatory measures to validate AI healthcare solutions.

Babylon seemed to recognise the risk associated with the chatbot element of their offering when expanding efforts to Rwanda in 2016 and chose a slightly different operating model in this context focusing primarily on phone and SMS services that connect clinicians and community health workers with users.

Conclusion

Given the range of different chatbot solutions available and their diverse applications. Picking the right tool for the job can be daunting. Considering the factors that lead to the success or failure of new chatbot platform will thus be the topic of our next blog where we’ll provide you with key considerations when deciding if to use a chatbot, and how to implement it successfully.

If you've worked with chatbots yourself or interacted with one that stood out to you, either as a success or a failure, we'd love to know about it! Share with us your tales of chatbots or just leave the link to your favourite chatbots in the comments. If you’re looking for chatbot expertise, get in touch with us through our contact form.

ABOUT THE AUTHORS AND OUTSIGHT INTERNATIONAL

Devangana Khokhar
Devangana Khokhar is an experienced data scientist and strategist with years of experience in building intelligent systems for clients across domains and geographies and has a research background in theoretical computer science, information retrieval, and social network analysis. Her interests include data-driven intelligence, data in the humanitarian sector, and data ethics and responsibilities. In the past, Devangana led the India chapter of DataKind. Devangana frequently consults for nonprofit organisations and social enterprises on the value of data literacy and holds workshops and boot camps on the same. She’s the author of the book titled Gephi Cookbook, a beginner's guide on network sciences. Devangana currently works as Lead Data Scientist with ThoughtWorks.

Hanna Phelan
Hanna is an expert in digital health implementation currently working as a health innovation Case Manager with the MSF Sweden Innovation Unit. In the past, she has advised leadership teams in health systems and pharmaceuticals. She received her MSc in Global Health from Trinity College Dublin, during which she conducted field assessments of rehabilitation approaches by Handicap International for Syrian refugee populations in IDP camps and community settings.

Michelle Chakkalackal
Michelle is an experienced entrepreneur, researcher, and impact strategist, specialising in growing a project or an organisation from start to scale, globally. She has 15+ years of experience working in systems change and facilitation at the crossroads of impact, tech, gender, diversity, equity, and inclusion (DEI).

Outsight International
Outsight International provides services to the humanitarian and development sector in an efficient and agile way. Outsight International builds on the range of expertise offered by a network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working with the Outsight team, please
get in touch or follow us on LinkedIn for regular updates.

The Complete Picture Project: Uncovering hidden AI bias

Can the diversity of the crowd be properly represented in AI datasets?

Can the diversity of the crowd be properly represented in AI datasets?

How do developers and users ensure that Artificial Intelligence (AI) algorithms serve all the members of a community equitably and fairly? The Outsight team has a solution…

This is not a small question. According to Forbes, the global AI-driven machine learning market will reach $20.83B in 2024. Low- and middle-income countries have already seen a rapid expansion in applications using this technology. Not surprisingly, the humanitarian and development sectors increasingly make use of machine learning models to reach beneficiaries faster, understanding needs better and make key decisions about the form and execution of life-saving programs.

AI-driven applications range from chatbots that connect individuals affected by disaster to their required resources, to applications that help diagnose bacterial diseases. These increasingly powerful new tools have the potential to dramatically improve aid delivery and life in communities affected by crisis. However, this value is tempered by the reality that biases can easily find their way into even the most diligently engineered applications.

AI models and applications are often built far from the communities where they will eventually be used, and are based on datasets that fail to reflect the actual diversity of these communities. This disconnect can lead to the inclusion of unintentional biases within an AI model, ultimately driving unfair system choices and recommendations that are difficult to detect.

For example, a recruiting application using AI may be designed to encourage new economic job opportunities and evaluate all the candidates applying for jobs. This is a laudable goal, but it can be tainted by biases in the algorithm that unfairly treat factors associated with gender, social background, physical ability, or language. The algorithm can systematically exacerbate existing disadvantages faced by certain groups.

Similar challenges can face large-scale aid programs that attempt to leverage AI. A cash distribution program serving an area hit by disaster or a conflict may use AI to guide cash distribution, check for misuse, and measure performance. If these automated insights favour certain communities, they could end up excluding already marginalised groups and individuals.

The Hiding Places of Bias

Whenever AI is employed in a decision-making system, it is in the interests of technical developers, adopting organisations, and communities to ensure that the algorithms are providing value, while not causing harm due to bias.

Determining whether subtle bias exists within an algorithm is a difficult task — even for experienced data scientists and conscientious AI users. A wide range of factors may contribute to bias within an AI algorithm, some of which are the result of the algorithm’s performance. There is a growing set of tools to help search for algorithmic bias within the logic of an AI application.

Evaluating the ‘wiring’ of an AI tool is important, but it is not the only concern. The sources of bias may inadvertently be embedded in the data set itself. Data bias risks can include:

  • Who is included — Bias in choosing who is selected in a data set.

  • How data are connected — Failure to recognise connections amongst different data that are important within a community.

  • Depth of insight — Failure to capture elements that are uniquely important for members of a community group.

As an example, datasets that are used to train and test AI models often only represent the digital footprint of a community and not its real diversity. As a result applications are developed based on the characteristics of well represented community groups.

A typical, unrepresentative dataset, upon which AI models are often based.

A typical, unrepresentative dataset, upon which AI models are often based.

In contrast, a true picture of the community might reveal many more ‘invisible’ members whose needs, resources, and desires are quite different; but that are not represented in the digital footprint.

The invisible real picture.

The invisible real picture.

An algorithm that bases its logic on an incomplete or inaccurate picture of a community will be hard pressed to assure it has not inherited biases from the data it used. Similarly, it will be difficult for a potential user of a new AI algorithm to evaluate whether it exhibits bias, if the data used for the test is itself incomplete and fails to accurately reflect the diversity of a community.

The Complete Picture Project: Building Complete Views of Communities

The Complete Picture Project (CPP) addresses the challenge of hidden bias in incomplete data sets by constructing data resources that offer a complete view of the true diversity within a community. These data sets are assembled from multiple sources and may include a wide range of source content. The goal is to provide those working to evaluate AI bias with a known starting point — where representation within the community has been carefully considered within the data.

These data sets are well positioned to support various actors in the AI ecosystem (AI designers, AI developers, data scientists, policy makers, user researchers as well as users of AI systems) who are seeking to test AI bias. These evaluations are particularly important when engaging with communities most impacted by the SDG’s. These communities may have unique traits that differ from those included in more conventional data sources. They are also more likely to have data gaps and distortions due to access to digital technologies.

These independent, broadly diverse, representative test datasets offer developers and other AI testers a data resource for which the form and content are known. These datasets can then applied to AI models and the results inspected for biases that are hidden in the model itself. This ability to test for bias across the whole community would support efforts to detect gender and other group biases at any stage of the AI development lifecycle, from early design and development to long after pre-trained algorithms are already in use.

Scaling the Impact of CPP Data Sets

CPP data sets can provide a valuable resource in support of responsible AI development and use. Intentionally constructed data sets that broadly reflect the true diversity of communities can help advance gender equality and women’s empowerment (SDG 5).

While these datasets are being initially designed to specifically address data scenarios that are relevant to women, children, and communities who are most impacted by the SDGs, the CPP methodology we establish could be easily be extended and scaled to include other applications where parameters of where algorithmic bias is a risk as well.

The definition of bias is ever-evolving. As AI developers and their sponsors build a better understanding of the real world and the biases in it from various dimensions (such as geography, culture, non-binary gender, language, migratory status, ethnicity and race), it will be important to expand the availability of intentionally representative data sets. Building a collaborator network is key to the strategy for broad development and use of CPP data sets. Collaborators are needed to better understand communities, provide and shape data sets, and to apply data to AI algorithms. There are strong network effects among this ecosystem, where AI sponsors, governments, developers and data owners combine to drive and build off each others contributions.

The intent of the CPP team is to capture and distill practices and methodologies so that they can be broadly shared and adopted by others. The availability of individual data sets will vary according to each specific use case, but open data resources would be created when possible.

Overview of the planned CPP approach.

Overview of the planned CPP approach.

Next steps

The CPP team are keen to connect with organisations who are interested in collaborating on the project. Please feel free to get in touch or contact us on LinkedIn to find out more.

About the Authors and Outsight International

Devangana Khokhar
Devangana Khokhar is an experienced data scientist and strategist with years of experience in building intelligent systems for clients across domains and geographies and has a research background in theoretical computer science, information retrieval, and social network analysis. Her interests include data-driven intelligence, data in the humanitarian sector, and data ethics and responsibilities. In the past, Devangana led the India chapter of DataKind. Devangana frequently consults for nonprofit organisations and social enterprises on the value of data literacy and holds workshops and boot camps on the same. She’s the author of the book titled Gephi Cookbook, a beginner's guide on network sciences. Devangana currently works as Lead Data Scientist with ThoughtWorks.

Dan McClure
Dan McClure specialises in complex systems innovation challenges, and acts as a senior innovation strategist for commercial, non-profit, and governmental organisations. He has authored a number of papers on systems innovation methodologies and is actively engaged with aid sector programs addressing cutting edge issues such as scaling, localisation, and dynamic collaboration building. His work builds on decades of experience as a systems innovation strategist working with global firms in fields spanning technology, finance, retail, media, communications, education, energy, and health.

Lucie Gueuning
Lucie manages the MSF REACH project — researching AI and machine learning in the humanitarian context. More widely, she focuses on digital implementation for the development and humanitarian sector. She believes that digital solutions can be harnessed in order to increase the efficiency of the humanitarian sector and the service provisions for the most vulnerable.

Denise Soesilo
Denise is one of the Co-founders of Outsight and has worked with many humanitarian and UN agencies — advising on the application and implementation of technologies in humanitarian operations.

Outsight International
Outsight International provides services to the humanitarian and development sector in an efficient and agile way. Outsight International builds on the range of expertise offered by a network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working with the Outsight team, please
get in touch or follow us on LinkedIn for regular updates.

Building an educational sectoral crypto-currency for the development sector

exchange

Recently Outsight was asked to help the Italian NGO, Helpcode, in partnership with the Politecnico Milano, scope how crypto-currency might be used to provide better services to beneficiaries in their projects. After some initial research we focused on sectoral currency as a way to multiply the value of donations in the education sector. Louis and Denise, the two founders of Outsight discuss the work…

The non-profit sector has, in recent years, started to take an interest in emerging blockchain and crypto-currency technologies, as these provide the potential process large amounts of transparent transactions at low transaction costs. These qualities — in theory — should enable the financial inclusion of beneficiaries, as the barriers of entry are low. In addition, specialised crypto-currencies can be utilised to multiply the impact of monetary funds when set up as a sectoral currency.

What is sectoral currency and how does it work?

The late Bernard Lietaer was a strong proponent of the radical possibilities of sectoral currencies and monetary systems to solve many challenges of today’s world. These included looking at the way we value resources in a short-termist fashion, to proposing mechanisms to protect the world economy from inflation. Among his many interesting initiatives, is the ‘Saber’ educational currency idea, designed for implementation in his native Brazil.

The educational currency is designed to set in motion “a substantial “learning multiplier” so that a given amount of money can facilitate substantially more learning for a greater number of students. The currency would fuel this learning multiplier without creating any new financial pressure on the economy. What this means in practice is that a tangible resource (in this case, a university scholarship) is given to younger students, rather than those who will use it. As the resource — turned into tokens — enters the educational system at a younger age, it is then possible to build a transaction chain between students of different ages until the tokens reach the older students who can cash them in with the university. The transactions that take place along the chain can be adapted to the needs of the system. In this case, the aim is for older students to provide mentoring services to younger students.

Students in the system hold an electronic wallet containing tokens. When a mentoring session takes place, the younger student will then ‘pay’ the older student with the tokens, which over time pass up the chain, age-group by age-group, until they reach the university students by the deadline of that year’s currency validity. Importantly, a demurrage fee (it loses its value after a set period) is attached to the currency in order to keep it in circulation. This prevents students from holding onto the tokens for their own profit later on as 100 tokens this year will become 50 tokens next year if not used. We have illustrated this chain below.

An overview of the educational sectoral currency system in the hypothetical DRC context.

An overview of the educational sectoral currency system in the hypothetical DRC context.

In this example, a token could pass through five transaction points before being cashed in. Thus, a single scholarship for one student is having a positive impact on five other students who would otherwise not receive any direct benefit. This multiplying effect is the true genius of the sectoral currency approach and can be adapted to help many sectors, such as environment or care.

About the context

The Helpcode project location of Bukavu, Democratic Republic of Congo was used as a hypothetical location for the use of sectoral cryptocurrencies in support of ongoing programmes with the broader aim to reduce poverty through improved access to education. At the current stage of the research, the location provided the use case for the exploration and prototyping. There are currently no plans for direct implementation.

Bukavu is a city of about 800,000 inhabitants in the east of the DRC on the southernmost shores of Lake Kivu. Bukavu is a commercial and industrial center in the region and is known for the production of coffee, tea, tobacco and strawberries). Bukavu is host to four universities and at least four higher learning institutes including a teacher training college, a scientific research institute and an Institute of medical technology.

Helpcode has a small presence in Bukavu mostly through financially supporting school children. Funds are administered to the Foundation Foyer Ek’Abana, who then disburses the funds to about 1,600 beneficiaries — all of them children — to support the costs of attending schools.

Additional projects are planned to provide a mobile medical unit to serve about 1,500 street children throughout the city with basic medical services, alongside programs to reunite these children with their families and to provide economic support, as well as supporting return to school and connecting to job opportunities. Many children living on the streets are orphaned. Many do not have identities, though some support exists now to issue birth certificates and IDs. Unconditional cash transfers alongside the current support may be an option to older children, but these children do not typically have smartphones.

In this context, sectoral currency could offer the added benefit of increasing value for every dollar invested by providing the system to school age children who could then exchange credits for mentoring or services from older children who will use them for scholarships. The value of the system would be underpinned by Helpcode by making an agreement to exchange the local currency for an agreed cash value at the end of each school year. As the currency moves up the chain towards the final use at university, each owner can receive something in exchange for the currency that is of value to the older students — i.e. mentoring, care services, food. The value of each dollar of the currency effectively increases each time it changes hands moving up the chain.

The prototype

Following the system proposal, Politecnico Milano produced a prototype built using the Ethereum platform. The prototype offers the following features:

  • Registration as a student

  • Peer-to-peer transactions for mentoring sessions using QR codes.

  • Picture proof for mentoring sessions.

  • Demurrage of currency for each school year.

  • Cash-in at university.

At an early prototype stage, this is how the app looks.

The welcome page of the app.

The welcome page of the app.

The wallet page of the app. Here you can select the type of service and whether to send or receive tokens.

The wallet page of the app. Here you can select the type of service and whether to send or receive tokens.

The transaction history page of the app. Where students can view their transactions.

The transaction history page of the app. Where students can view their transactions.

The transactions themselves are made using a QR codes. The mentoree scans a QR code on the mentor’s phone once a session is complete to send credits to them.

The mentor’s receiving page.

The mentor’s receiving page.

The mentoree’s sending credits page. This would turn on the camera to scan the QR code.

The mentoree’s sending credits page. This would turn on the camera to scan the QR code.

Other important considerations

As a novel and relatively complex concept, it is important to consider the potential pros and cons of pursuing this idea in a development context.

Pros:

  • Sectoral currency has been trialed in Japan.

  • Some progress on humanitarian local currencies with ICRC.

  • Increases the value of scholarships beyond just recipients.

  • Existing demurrage crypto-currency example.

Cons:

  • Need to ensure access to suitable end devices for trading with the currency.

  • Risk of unforeseen variables — what if the currency becomes tradable for illicit services?

  • Risk of monetizing transactions that should otherwise be freely shared (casual homework support, advice)

We also listed some remaining questions and concerns that need to be addressed before pursuing implementation further.

  • Does this process require a critical mass of users to be effective?

  • How much adult guidance is required in this process for oversight and guidance?

  • What constitutes a valid mentoring session to initiate a transaction?

  • Do all children need their own smartphone or can a third party on the ground manage the transaction while younger children deal with hard tokens / paper wallets only?

  • What basic conditions need to be met for a sectoral currency to be successful?

Next steps

Together with Helpcode and Politecnico Milano, Outsight is pursuing the further development of the educational sectoral currency platform. We aim to engage with end users from a UX and service design perspective in order to ensure we can address the outstanding questions and make the tool more specific for its context of use. If you’re interested in using sectoral currency or want to discuss the topic with us, please feel free to get in touch.

ABOUT the authors AND OUTSIGHT INTERNATIONAL

Denise Soesilo
Denise is one of the Co-founders of Outsight and has worked with the World Bank and other development, humanitarian and UN agencies — advising on the application and implementation of space-based systems and other technologies in humanitarian operations.

Louis Potter
Louis is one of the Co-founders of Outsight. He has a wide range of experience covering development, health, innovation, technology and research. Having worked in the field, he is well acquainted with the practical realities of delivering impact. In recent years, he has been helping organisations to improve innovation processes and outcomes. He is an experienced facilitator and has been closely involved in efforts to improve collaborations between the nonprofit, academic and commercial sectors. He is based in Lausanne, Switzerland, and received his MSc in Global Health from the Karolinska Institute, Sweden.

Outsight International
Outsight International provides services to the humanitarian and development sector in an efficient and agile way. Outsight International builds on the range of expertise offered by a network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working with the Outsight team, please
get in touch or follow us on LinkedIn for regular updates.

Implementing cargo drones in Africa: Some lessons from the field

Denise (in the yellow vest) with the pilots during the Lake Kivu Challenge in February 2020.

Denise (in the yellow vest) with the pilots during the Lake Kivu Challenge in February 2020.

My experience working in the cargo drone field

My journey with drones began in 2015, working with FSD on a dream project funded by the European Union Humanitarian Aid. The objective was to find out how we can use drones for anything anywhere in humanitarian settings. Given a blank slate and the task to find the most effective and promising applications, there was no better way to find out than to try.

Within the two years we implemented mapping projects in the Tadjik Pamir Mountains, Switzerland and Malawi, and deployed drones as part of an emergency simulation in France. During those years I also began first discussions with large medical humanitarian organisations to develop pilot implementation for cargo drone transport of diagnostic samples in hard-to-reach places. After having spoken to many tech providers, carefully weighing the pros and cons we decided that at that stage in 2016, the technology was still too early in its development to responsibly take into a real-world setting.

In 2017, I began a deep dive into cargo drone operations, working on the Lake Victoria Challenge in Tanzania, which was followed by the African Drone Forum Lake Kivu Challenge in Rwanda in early 2020. During those years, I worked closely with nine cargo drone companies to enable their flying operations. Seeing the industry evolve over the years, I am confident that we are ready to take this to the field in 2020 and 2021.

Where are we now?

Zipline is the only company so far that has been able to provide cargo drone services at scale – operating on the continent with some impressive successes to date. The initial business model is based on delivering transfusion blood. Today, four years after Zipline’s first delivery flight in Rwanda, the nation is on track to shift its entire transfusion blood supply to drone logistics reaching every part of the country in less than an hour upon receipt of the order. 

Medical deliveries and other development objectives remain at the core of the drive towards enabling a thriving drone industry in Africa, and the recent African Drone Forum has confirmed the appetite and commitment towards these objectives. Following the success of Zipline, the industry has been busy rising to the challenge.

The global drone logistics and transportation market is forecast to reach 11.2 billion USD globally by 2022, yet only a fraction of this market growth is forecast to take place in Africa. This is due to a combination of factors, but particularly that implementing high-tech solutions in remote settings has many risks and challenges. And there is not much experience or guidance out there in how to navigate these.

The following are some key lessons I’ve learnt over the past five years working in the sector, coordinating between industry, donors and governments.

What to look for in a cargo drone delivery company

Four key considerations I advise clients to consider seriously before working with any technology are the following:

  • A demonstrated commitment to safety. This cannot be over-emphasised and should be one of the first considerations. Technical documentation, operations manuals, flight and maintenance reports are crucial to build a track record. To be absolutely sure, it can be beneficial to solicit the advice of one or several subject matters experts. This procurement guide provides a helpful checklist of documentation to request when looking to hire a cargo drone company.

  • Technical specifications and business model appropriateness. Do the technology specs and business model align with what is required for the use case being addressed? Is the company committed to building technology for cargo delivery? Can the application accommodate African business models? I still encounter companies that have a primary focus in data collection (mapping and monitoring) but say they can easily also deliver cargo. That is a red flag for me. There are significant (technical) differences implementing these two applications and cargo drone work deserves full attention to its specific challenges.

  • Range. Bigger is not always better but when flying drones in the expanses of the African continent, range can make the difference. Studies recently published in the Lancet show that drone logistics work in the African context can only compete with alternatives — namely motorcycles and other ground vehicles — in terms of cost effectiveness starting from a minimum range of 60-65 km both in routine and emergency scenarios. All the companies on our list can cover at least this minimum range. Many pure copter designs have a range limit of 20km and are not suitable for typical African use cases beyond urban deliveries. 

  • Willingness and ability to adapt. When implementing projects, delays and setbacks are to be expected. We are charting very new territory. Building relationships based on trust and openness will help companies better understand their customers while implementing organisations can get the most out of their investments through valuable lessons-learned. 

Volansi getting ready for take-off.

Volansi getting ready for take-off.

Who’s doing what?

Here are some of the most promising drone tech providers I have been keeping an eye on — besides Zipline of course: 

  • Avy - This Dutch company adheres fiercely to its “drones for good” slogan, keeping to a strict civilian focus. Avy’s Aera aircraft is being prepared to deliver medicines in the Netherlands within a year — circumventing traffic for essential and high priority deliveries. The aircraft is small and light with a payload capacity of around 1 kilogram — just enough for these high-value products. However, like many of their competitors it is likely that a larger model is in the making. Avy is no stranger to the African continent, having provided surveillance support for anti-poaching and park management activities.

  • Phoenix Wings - Their Manta Ray aircraft is a heavy lifter among the small electric cargo drones. The aircraft was designed around the cargo and that thinking has paid off beautifully: the Manta Ray SR easily carries 7 kilograms in a 30 litre cargo compartment with a range extending more than 60 kilometers. Its signature turn into the wind upon take off is reminiscent of a spaceship in flight. Upon landing at the delivery location, the cargo compartment is released automatically.

  • RigiTech - This Swiss company has an impressive track record within their management. Two of its founders were part of Sensefly’s early start-up team before moving into the cargo drone business. The third co-founder is an MSF veteran having conducted medical delivery operations in Papua New Guinea as early as 2015. RigiTech’s business model centers around developing a complete hardware and software platform for cargo logistics.

  • Swoop Aero – This fast-rising Australian start-up has been flying vaccines for UNICEF and is about to start major operations in the DRC. From the outside, the aircraft looks less shiny than some of the competition, but the fundamentals are designed for safety, reliability and durability, which has proven to be a winning strategy. Swoop Aero is committed to expanding healthcare access through their logistics services and they are quickly establishing themselves as a market leader.

  • Vayu – Vayu has settled on a long-range design that is capable of several hundred kilometers (up to 800 kilometers to be precise) of flight. Vayu provide the only gasoline-powered aircraft in this list, and have been involved with the development sector projects for years, striving to make solutions that work. In some environments the use of fuel can be justified as it greatly extends range compared to battery powered systems.  

  • Volansi – Volansi is another Silicon Valley backed start-up with an impressive line-up, having logged experience in both North America and Africa. The company participated at the African Drone Forum Lake Kivu Challenge — and demonstrated solid tech and a highly professional team. A new aircraft has been in development, and will be launched shortly, so expect to hear a lot more from Volansi in the near future. 

  • Wingcopter – Known for their fine German engineering and for having produced the fastest civilian drone (fast = stable flight in the cargo drone world), Wingcopter has made recent headlines with a strategic partnership with UPS. Wingcopter are also veterans when it comes to operating in Africa and other rural settings, among others delivering vaccines with UNICEF in Vanuatu and delivering health supplies in Tanzania. Wingcopter have adapted quickly to their customers’ needs by developing the winch system that lowers their cargo without the need of landing the drone.

A Wingcopter aircraft winching down a cargo box.

A Wingcopter aircraft winching down a cargo box.

Implementing cargo drones in development

Implementing the use of cargo drones for logistics is a complex matter that requires careful choreographing. Safety (and security) management will take much attention and time. This includes: risk assessments; implementing risk mitigations; route planning; applying for activity permits and potential certification; air traffic management; and coordination. In addition, other aspects need to be managed: procurement; use case analysis; perceptions; waste and other environmental concerns; insurance; import and export; operations; skills development; regulations; perceptions; (data) protection; cost-benefit analyses; and media — among others. Since in many environments the cost-benefit is not yet fully established, future implementations should also be designed around collecting quality data. Cost-benefit analyses will require data on major cost drivers of drone operations such as failure rates under various operational conditions, down-time due to weather conditions and fixed costs for maintenance and running the operation.

To pull so many aspects together, whilst also dealing with multiple stakeholders with different interests, requires significant expertise, diplomacy and technical knowledge. Although, complex, I have seen that it is possible to bring all the pieces together efficiently and effectively. Any new implementations must build on the — so far — established best practices and lessens learned. This will help elevate cargo drones to their full potential in Africa.

ABOUT denise soesilo AND OUTSIGHT INTERNATIONAL

Denise is one of the Co-founders of Outsight. She is a world-renowned expert in unmanned aerial system (UAS) use in humanitarian and development settings, and in operationalising clean technologies. She has worked with the World Bank and other development, humanitarian and UN agencies — advising on the application and implementation of space-based systems and UAS technologies in humanitarian operations. Denise was directing the flying operations of the African Drone Forum. Denise has led the European Union Humanitarian Aid innovation grant for the implementation of drones in humanitarian action globally and has authored several leading publications on UAS in development and humanitarian action.

Outsight International provides services to the humanitarian and development sector in an efficient and agile way. Outsight International builds on the range of expertise offered by a network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working with Denise and the Outsight team, please get in touch or follow us on LinkedIn for regular updates.

Should NGOs be more empathetic in partnerships with the private sector?

collaboration.jpg

Over the past few years, I have focused a lot on improving partnerships between the private and nonprofit sectors. This has involved work for Medecins Sans Froniteres (MSF) and the International Committee of the Red Cross (ICRC) among others, assessing what’s worked and what hasn’t from previous collaborations between sectors.

For MSF, this culminated in the Innovation Partnership project report, offering an improved step by step towards scaling innovation and leveraging MSF’s respected brand favourably in the private sector. The report can be found here.

During this work, I also authored a blog piece after facilitating a workshop for the MSF Scientific Days in London entitled ‘Does MSF need a more intelligent/empathetic approach to partnerships?’. Please check in out and get in touch if you have any comments.

I am also currently working with the EPFL EssentialTech centre to improve collaborations between academia and the nonprofit sector, following a workshop that was held earlier this year. We hope to have an article on the key pitfalls to avoid in such collaborations published in the coming months.

If partnerships between the development/humanitarian world and other sectors if of interest to you, please get in touch!

About Louis and Outsight International

Louis is one of the Co-founders of Outsight. He has a wide range of experience covering development, health, innovation, technology and research. Having worked in in the field with Medecins Sans Frontières as well as with other NGOs, he is well acquainted with the practical realities of delivering impact in the field. In recent years, has been helping organisations to improve innovation processes and outcomes. In particular, this has included managing projects focused on improving healthcare provision in hard-to-reach contexts through new technologies. He is an experienced facilitator and has been closely involved in efforts to improve collaborations between the nonprofit, academic and commercial sectors in recent years. He is based in Lausanne, Switzerland, and received his MSc in Global Health from the Karolinska Institute, Sweden.

Outsight International is an organisation specialising in providing services to the humanitarian and development sector in an efficient and agile way. We build on the range of expertise offered by our network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working Nicola and the Outsight team, please get in touch or follow us on LinkedIn for regular updates.

How can we use drones in the humanitarian and health sector?

Ever since I watched the exceptional 2013 TED talk by Raffaello D’Andrea on the athletic power of quadcopters (above) I have been fascinated by the possibilities of unmanned arial vehicles (UAVs) or, as they’re more commonly called, drones. Finally, it felt like the film-like future dreamed of for 20 years, was arriving. Since that video, there has been no end to proposals for which they might be used. No sooner had I been discussing with a friend that what I really wanted was an autonomous drone to take holiday photos without going through the usual stop, say ‘cheese’ routine, than I stumbled across an advert for Lily, a drone which does just that. In a few weeks, if the claims of the Indigogo project ONAGOfly are to be believed, this type of drone will soon be small enough to fit in your pocket and cost under $200. Oh, you want a Back to the Future style hoverboard? No problem, thanks to drones. 

Photography and sports aside, what serious applications might drones have in the imminent future? We already know they are used with devastating effect militarily, but how can they be used for good and what implications can such a versatile machine have in the humanitarian or health sector? For me, they have potential to revolutionise; and here’s why. 

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Search and rescue

The advantage for drones to be used in search and rescue operations is self evident: using simple commercially available drones with cameras, you immediately have an extremely manoeuvrable eye-in-the-sky (watch the Drone Racing League to see just how manoeuvrable) that can access places previously only accessible by aircraft at a fraction of the cost. Further development of UAVs with the search and rescue brief in mind include the Kwago drone (video below) that incorporates commercial flight awareness and night-time manoeuvrability being a prime example. Whilst running their search and rescue operations in the Mediterranean during 2015, the Migrant Offshore Aid Station were using eye-in-the-sky drones as a means of expanding the radius of their operation

Surveying

Closely linked to this, the use of autonomous drones in surveying provides a genuinely futuristic option to aid organisations. Using geo-referenced photography (or photogrammetry), UAVs are already being used to quickly survey and produce large 2D and 3D maps of astounding accuracy — particularly within the agriculture and construction industry. However, it is easy to envisage how such tools could be used by humanitarian actors within emergency or refugee situations — for example, a detailed survey of a refugee a camp could be conducted by a single person and UAV in a matter of hours, and in addition, this could be updated at regular intervals with minimum additional work. The non-profit Drone Adventures is doing just this; having worked in Haiti with the International Organisation on Migration on 3D mapping for flood prevention (video below); and with MEDAIR in the Philippines onsurveying areas affected by Typhoon Haiyan.

HumanITas Solutions is another organisation that has foreseen the potential or UAV surveys in humanitarian work and is about to release a virtual environment to utilise this. Using UAVs that carry commercial smartphones and tablets instead of specialist equipment, their software works as an operating system specifically focused for humanitarian teams. With their android or OS app turned on, the phone can be fixed to the drone and sent to autonomously map areas — working alone or in tandem with other drones — using GPS and photography, by stitching these images together, complete maps and 3D models can be quickly collected. The software then allows for annotation, collaboration and import/export with other teams. The beauty of this system is the use of conventional equipment — understanding that often getting experts quickly to disaster zone can be difficult. Check out the video below. 

As with all innovation, technology is the deciding factor on feasibility. The Swiss Foundation for Mine Action (FSA) has been using drone observation in mine detection for many years, for obvious reasons. Though not there yet, there are projects which aim to mount instruments — such as thermal imaging — on the drones they fly over suspected minefields, providing and invaluable resource in the fight against civilian deaths. This doesn't seem like an unreasonable goal: drones that can map radiation already exist, whilst there is a renewed interest in using drones for gas detection after a recent leak in California. 

As surveying becomes more widespread, so too the technology is improving. A new startup, Nomoko, claims to have built a 1,000 mega pixel camera that, if mounted on a UAV, could map huge areas to 1cm accuracy in a fraction of the time it currently takes — the company claims that 10,000 drones mounted with its camera could map the world at this accuracy in just 60 days at a cost of around $100 million. Currently, a single satellite will set you back at least this amount and would take two years to achieve the task at a much lower resolution. Beyond just being a nice sales pitch, such accuracy could allow the data to be used in the search for survivors after a natural disaster by comparing photos taken of the same scene at short, regular intervals.

Drones as delivery tools

UAVs are evidently well-equipped to access difficult terrain, and this is something that Médecins Sans Frontières (MSF) exploited when conducting a trial of a UAV delivery system for lab samples. Traditional microscopy tuberculosis (TB) testing requires sputum samples to be tested within three hours to be valid, (newer GeneXpertsampling allows 3 days) but such a time-constraint was inhibiting in remote and inaccessible locations such as Gulf Province; a swampy region in Papua New Guinea, to which ‘normal’ access by car took four hours. With the UAVs, delivery times were slashed to just one hour. The trial was successful — as was acceptance by the local population — and such a system could provide an excellent means to improve infectious disease surveillance when time is of the essence. Could such a system improve the emergency response to viruses such as Lassa or Ebola, where quarantine is necessary? Could a suspected case be quarantined in their home whilst an UAV carrying samples is dispatched to see if bringing them to a health facility is really necessary? 

Drones could also facilitate speedy delivery in the opposite direction. Again, UAVs almost always offer a cheaper alternative to conventional aircraft. Capitalising on this for cold-chain products seems like an obvious move. Of course, the tech is the limiting factor: battery life and payload are preventing goods of reasonable size being delivered any meaningful distance. However, future developments could change this: solar-powered drones are one option or drones with combustion engines another. What about UAVs that can automatically dock with charging stations (possibly solar powered) along a set route? Effectively hopping from one station to the next as far as required...

The SaveME smartphone UAV, uses a quadcopter frame to transport a smartphone and can be used to find help in the event of being trapped. However, it is also proposed as a tool for prescription collection. In the future, could sending your drone to the local pharmacy to collect your prescription become the norm when you are too ill to leave your house? All interesting proposals and one specifically targeting the delivery of medical supplies in the humanitarian sector was recently proposed by Norman Foster. The notion of delivery is starting to be explored with a more specialised health focus in two areas: organ harvest and cardiac arrest. 

Drones in emergency response

There are few medical situations where time is more imperative than organ transplant — a heart can only survive for 4-6 hours outside the body so, in order to be matched to a recipient with the same blood type, body size and geographic location, the process must occur very quickly. Research has shown that, though for the victim there is no clear medical advantage to air ambulance over ground ambulance for arrival on the scene, the air evacuation did provide more organs than traditional ground units. Could drones offer the paramedics on the scene the tool to harvestand send organs on a par with the system of getting the organs to the hospital by air within the urgent time window?

Cardiac arrest is another situation where time is of the essence. In cases where defibrillation is the only thing that can revive someone, drones might again provide the answer. Alec Momont, a Dutch engineering student, has proposedmounting a defibrillator on a UAV which can lock on to the GPS of the smartphone making the emergency call and arrive on the scene on minutes. The idea is particularly bright because modern defibrillators operate automatically and just require correct attachment to the victim’s body — something that the caller could easily do with guidance. Though they are appearing much more frequently around cities in Europe, a rapidly deployable defibrillator could provide an invaluable service in suburban areas on the outskirts of places with many public buildings. The project created a prototype, and the video, but it has yet to be developed further. 

Vector control

A key process in health development remains vector control. Prevention of malaria, dengue or Zika, relies on limiting mosquitos; be it through sterilisation, environmental measures or fumigation — as Bill Gates famously wrote, the mosquito is the deadliest creature in the world, being ultimately responsible for 725,000 deaths per year. One drone project — MosquitoCopter — is targeting this problem through the sterilisation route. By releasing sterilised male mosquitos, who will mate with the blood-sucking females and prevent propagation, the mosquito population can be significantly reduced. As with most such projects, the problem becomes accessing the affected areas — MosquitoCopter, does this with a manoeuvrable quadcopter that can be programmed to follow a set route, automatically releasing the sterilised mosquitos at set intervals. A similar concept is also being used to support the Southern Tsetse Eradication Project in Ethiopia — though in this case, the drones are larger and can cover an area of 100km2 per flight. Even at a more basic level, UAVs can help by identifying mosquito breeding sites for direct action and are already being put to good use in Brazil to combat Zika.

Future hurdles

As with all new technology, UAVs are undergoing a delicate phase right now: simply put, governments and regulators don’t yet know how to deal with them in terms of safety (i.e. plane collisions etc.) or security (someone recentlymounted a hand gun on a UAV). The regulation of drones therefore, will change drastically in the coming few years and determine their prevalence in our everyday lives. It's worth noting that UAVs pose a challenge to the control of governments over our skies — an area that has, until this point, has maintained a miraculous safety record through very strict controls — so new challengers to that can be seen as a threat. The Federal Aviation Authority's legal pursuit of Raphael Pirker, a Swiss drone pilot who was fined $10,000 for making a promotional video using a drone, is a prime example of the confusion and delicate politics surround this emerging area. 

In the US and Europe, much of the regulation is in the testing phase, largely pushed by the development of delivery drones in the commercial sector. Last year, testing licenses were issued to a number of projects including a small startup delivering medical supplies to rural communities in Virginia. These small projects will mainly serve to inform regulatory legislation, which will then likely be the foundation in other countries. Amazon is one of the most vocal advocates for the use of commercial drones and the company's influence will play a huge part in deciding the future of commercial drones. This influence isn't going unnoticed: in 2015, the internet giant spent $10 million on lobbying in Washington and one suspects that its Prime Air service had a lot to do with this sharp increase. In fairness to the regulators, the proposals by Amazon will (if the video below is to be believed) fundamentally alter the skies over the US and Europe, so proceeding with caution does not seem unreasonable. Once permission is granted, the chances of it being revoked are much smaller. 

It's difficult to envisage exactly how this regulation will play out in developing countries and thus affect the humanitarian possibilities of drones. In the wake of natural disasters, their implementation will almost definitely become a necessity in coordinating the humanitarian response, but particularly in conflict zones, flying UAVs could have negative consequences for aid agencies who wish to avoid association with warring parties. Just the term 'drone' itself can conjure images of the US military's Predator drones, which do look rather similar to some UAVs already being used in vector control. Such associations have already led MSF to reject their use in conflict zones. There have also been cases of the data being collected for humanitarian purposes also being used for law enforcement: a point that could in the future severely damage aid organisations' reputation for neutrality if similar events occur in conflict zones. It seems probable however, that as the use of UAVs become far more widespread, their possible military connotations will be lessened. In terms of acceptance by the local population, existing humanitarian UAV projects have all seemed to show that, as long as they are well informed about the project and how the drones work, this is not a problem. 

2014 report by OCHA did try to consider some of the wider issues and possible applications for UAVs in the humanitarian sector, but the technology is moving so fast, this is already largely outdated. The FSA is currently trying to update and consolidating the existing knowledge on drone projects in the humanitarian sector as a means to increase awareness of the UAV tools available to aid workers and to propose guidelines for UAV use in the field. 

The final hurdle for the adoption of such useful technologies is cost. Professional UAVs are not cheap, and the hardware and software for a project like those run by Drone Adventures would cost around $20,000 and there are maintenance and repair costs to factor in to that, plus training. Other issues such as drone malfunction or hijack could also prove costly for organisations using drones for humanitarian purposes.

Conclusions

Having explored a range of possibilities for UAVs in the health and humanitarian sector, it seems clear that the coming decade will bring with it an extraordinary amount of change — in no small part due to drones. Their obvious benefit as search and survey tools will probably be their first point of mass use. With improvements to battery life and payload weight, delivery will quickly become important too and projects such as the TB sample delivery should be capitalised upon. The use of more autonomous drones will no doubt go in directions currently impossible to imagine, and this is exactly why UAVs are so exciting: they offer a blank canvas on three axes upon which anyone can imprint their ideas. 

This article was first published by Louis Potter on the Innovating Health blog. 

About Louis and Outsight International

Louis is one of the Co-founders of Outsight. He has a wide range of experience covering development, health, innovation, technology and research. Having worked in the field with Medecins Sans Frontières as well as with other NGOs, he is well acquainted with the practical realities of delivering impact. In recent years, has been helping organisations to improve innovation processes and outcomes. In particular, this has included managing projects focused on improving healthcare provision in hard-to-reach contexts through new technologies. He is an experienced facilitator and has been closely involved in efforts to improve collaborations between the nonprofit, academic and commercial sectors. He is based in Lausanne, Switzerland, and received his MSc in Global Health from the Karolinska Institute, Sweden.

Outsight International is an organisation specialising in providing services to the humanitarian and development sector in an efficient and agile way. We build on the range of expertise offered by our network of Associates in order to deliver quality results adapted to the specific tasks at hand. If you’d like to discuss working Nicola and the Outsight team, please get in touch or follow us on LinkedIn for regular updates.