Author: Monica Cano

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Royal United Services Institute (RUSI): Trusting Machines?

Royal United Services Institute (RUSI): Trusting Machines? Cross-sector lessons from Healthcare and Security, 30 June – 2 July 2021

post by Kathryn Baguley (2020 cohort)

Overview of event

The event ran 14 sessions over three days which meant that the time passed quickly.  The variety was incredible, with presenters from varied multidisciplinary backgrounds and many different ways of presenting.  It was great to see so many professionals with contrasting opinions getting together and challenging each other and the audience.

Why this event?

My interest in this conference stemmed from the involvement of my industry partner, the Trustworthy Autonomous Systems hub (TAS), and wanting to hear the speaker contributions by academics at the University of Nottingham and the Horizon CDT.  The conference focus on security and healthcare sectors was outside my usual work, so I thought the sessions would provide new things for me to consider. I was particularly interested in gaining insights to help me decide on some case studies and get some ideas on incorporating the ‘trust’ element into my research.

Learnings from sessions

Owing to the number of sessions, I have grouped my learnings by category:

The dramatic and thought-provoking use of the arts

I had never considered the possibilities and effects of using the arts as a lens for AI, even as a long-standing amateur musician. This is a point I will carry forward, maybe not so much for my PhD but training and embedding in my consultancy work.

The work of the TAS hub

It was great to learn more about my industry partner, particularly its interest in health and security.  I can now build this into my thoughts on choosing two further case studies for my research.  Reflecting on the conference, I am making enquiries with the NHS AI Lab Virtual Hub to see whether there are relevant case studies for my research.

Looking at the possible interactions of the human and the machine

I believe overall, in a good way, I came away from the event with more questions for me to ponder, such as:  ‘If the human and the machine were able to confuse each other with their identity, how should we manage and consider the possible consequences of this?’ My takeaway was that trust is a two-way street between the human and the machine.

Aspects of trust

I’d never considered how humans already trust animals and how this works, so the Guide Dogs talk was entirely different for me to think about; the power the dogs have and how the person has to trust the dog for the relationship to work.  Also, the session of Dr Freedman where he discussed equating trust to a bank account brought the concept alive too.   Ensuring that the bank account does not go into the ‘red’ is vital since red signifies a violation of trust, and recovery is difficult. Positive experiences reinforce trust, and thus there is a need to keep this topped up.

The area of trust also left me with a lot of questions which I need to think about how they will feature in my research, such as ‘Can you trust a person?’, ‘Do we trust people more than machines?’ and ‘Do we exaggerate our abilities and those of our fellow humans?’  The example of not telling the difference between a picture and a deepfake but thinking we can is undoubtedly something for us to ponder.  As the previous example shows, there is a fallacy that a human is more trustworthy in some cases. Also, Prof Denis Noble suggested that we have judges because we don’t trust ourselves.

I have reflected on the importance of being able to define trust and trustworthiness.  Doctor Jonathan Ives described trust as ‘to believe as expected’, whereas trustworthiness is ‘to have a good reason to trust based on past events’.  The example he gave of theory and principle helps show this point in that the principle of gravity and the apple falling from the tree; however, we cannot view AI in the same way.

The discussion around trust being an emotion was fascinating, because as a lawyer, it made me question how we could even begin to regulate this.  I also wondered how this fit in with emotional AI and the current regulation we have.  I believe that there may be a place for this in my research.

The global context of AI

This area considered whether there is an arms race here, and it was interesting to ponder whether any past technology has ever had the same disruptive capacity.

The value of data in healthcare

There were so many genuinely great examples showing how NHS data can help people in many situations, from imaging solutions to cancer treatment.  I also found the Data Lens part very interesting, enabling a search function for databases within health and social care to find data for research purposes.  The ability to undertake research to help medical prevention and treatment is excellent.  I also found it interesting that the NHS use the database to reduce professional indemnity claims. I wondered about the parameters in place to ensure the use of this data for good.

The development of frameworks

The NHSX is working with the Ada Lovelace Foundation to create an AI risk assessment like a DPIA. NHS looking to have a joined-up approach between regulators and have mapped the stages of this.  I am looking for the mapping exercise and may request it if I’m unable to locate it.  I was also encouraged to hear how many organisations benefit from public engagement and expect this from their innovators.

Overall learnings from the event

    • Healthcare could derive a possible case study for my research
    • I have more considerations to think about how to build trust into my research
    • Regulation done in the right way can be a driving force for innovation
    • Don’t assume that your technology is answering your problem
    • It’s ok to have questions without answers
    • Debating the problems can lead to interesting, friendly challenges and new ideas
    • Massive learning point: understand the problem
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Three Actually Isn’t a Crowd: Reflections on my Internship with the UKRI TAS Hub

post by Cecily Pepper (2019 cohort)

About the Internship

In December 2021, I began an internship with the UKRI TAS (Trustworthy Autonomous Systems) Hub on two projects: TAS for Health and TAS Test and Trace. I applied to this internship as I have an interest in technology and autonomous systems, how people develop and measure trust towards technology, and, perhaps most of all, the effect of technology on health and wellbeing. My own PhD project is about exploring the impact of social media platforms on the mental health and wellbeing of care-experienced young people, so hopefully the connection and interest between technology, health, and wellbeing is clear. Another key motivator in applying for the TAS internship was that the role involved completing an in-depth thematic analysis for each project. As I am doing multiple thematic analyses for my own research, I thought this would be a great opportunity to enhance and develop my skills in this area. Moreover, the internship was a role that included working with two other interns to complete the analyses. This especially interested me as I enjoy working with others and was curious as to how the group analyses would work compared to the analyses I have done by myself.

The TAS for Health project explored the attitudes towards using a smart mirror for health from two participant groups: those who were recovering from a stroke and those who have the medical condition multiple sclerosis (MS). My role involved taking part in the participant workshops, preparing the transcripts from the workshops, and completing the thematic analysis with the other interns. It was a truly enjoyable experience listening to the experiences of the individuals who participated in the research. As well as this, assisting in the workshops offered another layer of insight to the analysis. The other project, TAS Test and Trace, followed on from previous studies around the general public’s attitudes and trust in the NHS Test and Trace application for Covid-19. For this project, my role was to again prepare the transcripts and complete a thematic analysis with the other interns. I will also contribute to the paper writing for both projects, which are currently underway. This is another aspect of the internship that applies to my own PhD activities, as it is a great opportunity to develop my paper writing skills ready for when I aim to publish my own studies.

Reflections on the Internship Experience

I have thoroughly enjoyed the internship and learned so much. I have developed my thematic analysis skills, my collaborative skills, and learned more about how to present and display research findings (to name a few). For this blog, I will now share some reflections on the experiences I have had now the two projects have ended. Perhaps the biggest and most salient reflection I have from working with two TAS research groups was the value of working with others and being part of a research team. I currently don’t belong in a research group and, as PhD students may know, the doctorate journey can be a lonely one. I find many times in my own work that I wish I could bounce my ideas off someone, especially during analysis work. Don’t get me wrong, I have wonderful supervisors who I meet with regularly and they offer brilliant and insightful advice; but doing an analysis collaboratively with two other people was a fantastic experience. We were able to continuously bounce our ideas off one another, question our reasoning together, and have regular chats about anything we queried. This made me appreciate teamwork in a completely new light and it’s safe to say three was definitely not a crowd! We also all learnt a new way of completing a thematic analysis, explained by a member of the research group, which was a valued addition to our current skillset.

In addition to this, having weekly meetings with a research group was a great experience and made me really feel like I was part of a team. As I mentioned, I don’t belong to any research groups so I haven’t had this experience yet; apart from perhaps my CDT cohort, who I love spending time with, but our research is all so different so it can be hard to find commonalities to discuss, and get-togethers are rare now we’re in the later stages of our PhD and due to the pandemic. On a personal note, I’m a shy introvert and tend to anxiously avoid social events, but being required to work with others so regularly and closely was valuable in pushing me outside of my comfort zone. So, one of the biggest take-aways from my internship is the value of working closely with others and having a team of researchers to meet with regularly. I’ve met some lovely people who I hope to work with again in the future and I have learned so many things about the importance of working with a research team.

The second reflection I had from my internship experience was the realisation and surprise at how welcome a distraction from my own PhD work was. I was in a bit of a rut with my PhD work, struggling with recruiting a hard-to-reach participant group whilst also struggling with the final stages of a separate thematic analysis for another of my studies. With the internship, I soon realised that I welcomed the work with open arms and found my research spark again, that had obviously been dimmed by my own research struggles. While I knew subconsciously that I was struggling with my own work, the internship reignited my love for research and made me realise I needed to remove my head from the imaginary sand and address the issues I had in my own work. This was therefore helpful to me personally as it was a reminder that I had a passion for research, and it was encouragement to resolve the issues I had with my own work rather than burying and avoiding them.

Overall, I had a great time and learnt a lot from both the academic side but also from the personal side. Working on two thematic analyses was fantastic practice and I believe my skills have developed significantly. Additionally, being part of a research team with regular meetings and deadlines was useful for the future, both in an industry and academic sense. Despite the value of both the professional and research skills I have developed, the most enjoyable part of the internship was working closely with other researchers and having a welcomed break from the lonely world of doing a PhD during a global pandemic.

 

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The joy of building things. My reflection on the internship at BlueSkeye AI

post by Keerthy Kusumam ( 2017 cohort)

September 2020 – January 2021

I interned at BlueSkeye AI, a company that delivers ethical AI for supporting mental health for the vulnerable population using facial and voice behaviour
analysis. The long term vision of BlueSkeye AI is to ’Create AI you can trust for
a better future, together.’ The goals of my PhD aligns perfectly well with that
of BlueSkeye, where comprehending various facial behaviours to recognise markers of mood disorders forms a core part of the work. The company BlueSkeye AI is cofounded by my PhD supervisor Prof Michel Valstar and the teammates include several of my past PhD colleagues. The following pointers are my reflections on my four-month-long internship at BlueSkeye AI.

The joy of building things that work. The internship at BlueSkeye
rekindled my enthusiasm to build systems that work in the real world, face real
challenges, and create real impact. When I joined, BlueSkeye AI had a product
that was going to be released to the market and what I had to build would
then be integrated into this product. That made it extremely well-defined as a
problem, where we were not trying to define a problem itself but rather engineer a solution that needs working on real-world data, leveraging the cutting-edge computer vision/machine learning research.

Real World Vs Research World. My emphasis on real-world data stems
from my divided self where I am both a computer vision researcher as well as a
roboticist. Before doing my PhD I spent nearly 4 years in a robotics research lab with an active collaboration culture – where everyone in an open-plan workspace contributes to projects irrespective of their original funding sources. This cultivated the exchange of ideas across disciplines – computer vision, cybernetics, robotics, reasoning, machine learning etc leading to very creative and interesting bodies of work. In robotics, computer vision is often a tool that it relies upon to make decisions, which means robustness and consistency precedes accuracy. In computer vision research, however, beating the state-of-the-art on benchmark datasets seems to be the key marker of success. I enjoy both these aspects and the internship opportunity at BlueSkeye AI gave me just that – a place to bring those together. I got to build a computer vision-based social gaze estimation system that works on a smartphone. The challenge was about finding the right balance between exploration and exploitation. Here I had to optimize for efficiency, usability, practicality, simplicity and data efficiency along with the standard performance metrics that I use in research.

The Team and Teamwork. My onboarding was seamless, owing to the
hands-on approach adopted by the BlueSkeye AI’s leadership. I was also familiar with the team, so I was lucky to enjoy an incredibly friendly and supportive environment. The weekly meetings where everyone discussed progress or the issues they faced, posed as learning sessions for me. I understood the value of communication and brainstorming from the team as a whole, to keep up the momentum. I worked in sync with the lead machine learning engineer who set up several documents and code specifically for me, that removed my roadblocks to integrate the module into a mobile device. I also learned how managing tasks in a time-critical manner helps save time and resources for the company as well as yourself.

Importance of values. One should never compromise on their values
while working for a company and it is important to work in a place where value
systems align. BlueSkeye AI’s five-year mission is: ’To create the most-used
technology for ethical machine understanding of face and voice behaviour that enables citizens to be seen, heard, and understood.’ I was astonished by their sensitivity towards mental health research, strict adherence to ethical guidelines while handling data, being transparent to the data volunteers about their data and having numerous clinicians with great expertise on board. Being part of the company albeit during a short internship provided me with a sense of purpose and I felt attuned to my values.

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One Giant Leap for My Future: Summer Internship Experience with NASA GeneLab

post by Henry Cope (2019 cohort)

Over the summer I had the honour of taking part in the NASA GeneLab summer internship programme. Despite previous plans to complete this in sunny California, the pandemic made it necessary to adapt the internship format, which I must admit was bittersweet. Nevertheless, I was incredibly excited to step into my role as a space biology bioinformatics intern.

Now, I appreciate right off the bat that this might raise a few questions, so I will endeavour to briefly break down the relevant terms as follows:

      • Space biology – This is the study of the adaptation of terrestrial organisms (e.g., you and I) to the extreme environment of space. Two of the main spaceflight stressors are increased radiation exposure and microgravity (0G). The knowledge generated from space biology is important for developing improved countermeasures, such as to reduce microgravity-driven muscle loss experienced by astronauts, which also occurs on Earth due to factors including muscle wasting diseases, or bed rest following surgery. If you are interested in learning about space biology in more detail, I can recommend this open-access review; it’s a very exciting time right now for spaceflight!
      • Omics – These are types of biological “big data” (usually ending in “-omics”, go figure) that tell us about the underlying functioning of different systems within the body. Of course, a classic example is genomics, in which your unique DNA sequence imparts traits such as eye colour. However, there is also transcriptomics, which capture snapshots of how activated/expressed your genes are at given points in time.
      • Bioinformatics – This is essentially analysing biological data, including omics, via software. When a sample of biological material is taken, it can be processed in the lab for different kinds of omics analyses and then computational methods are used to identify meaningful patterns in the data. Lots of programming! 🙂
      • NASA GeneLab – NASA GeneLab is an organisation that consists of two primary components. One is the data side, which is delivered via a carefully curated public biobank of omics collected from spaceflight missions (usually involving model organisms like mice), or from studies on Earth that simulate aspects of spaceflight. The second side of GeneLab is the people side, which is mainly delivered via international analysis working groups (AWGs) that work together to analyse the data within the repository. Spaceflight experiments are costly, so GeneLab’s open-science approach of increasing access to data and collaboration during analysis is important for maximising the scientific potential of these experiments.

With the definitions out of the way, I will briefly describe my primary project for the internship. Essentially, I was presented with several transcriptomics datasets that had been generated from RNA extracted from the skin of mice. These datasets were derived from mice that had been flown on different missions, with lots of other variables such as differences in diet and duration spent on the International Space Station (ISS). Skin is particularly interesting in the context of space biology for several reasons as follows:

      • In spaceflight, dermatological issues such as rashes are very common
      • Skin is the first line of defence against cosmic radiation and an important barrier against pathogens
      • Skin can be monitored using non-invasive methods like swabs, which avoids risks associated with invasive biopsies
      • Skin can act as a “mirror”, telling us about the underlying health of the body in terms of things like immune function and diet
      • Despite the aforementioned importance of skin, skin is incredibly understudied in space!

I had carried out some initial analysis of the datasets prior to the start of the internship, under the guidance of Craig Willis, who was at the time a PhD student at the University of Exeter and is now a researcher at Ohio University! Whilst I had prior experience with programming, bioinformatics was new to me. Craig very kindly showed me the ropes so that I would have the necessary skills to jump straight into the internship project. That said, GeneLab runs programmes for teaching bioinformatics to students at different levels, so having prior bioinformatics skills was not at all a requirement.

Just before I started the internship, I met Afshin Beheshti, who is a bioinformatician and principal investigator at KBR/NASA Ames Research Center, amongst other roles! Afshin was incredibly friendly so we got on right away. Throughout the internship we met weekly via video call, but we also communicated via Slack throughout the week. I strongly believe that a line of communication which is more direct than email is essential for virtual internships. During the internship, GeneLab also organised online networking events, which gave me the opportunity to talk to the other interns about their projects.

Following my internship, I have continued to work on the skin analysis project, and we are now striving towards a publication, which will include astronaut data (a rarity!) alongside the rodent data. I also had the honour of presenting some of our findings online at the public NASA GeneLab AWG workshop in November, and in-person at the Royal Aeronautical Society Aerospace Medicine Group Annual Symposium in London in December. As part of the continued work on the project, I have also been able to engage with the GeneLab for High School (GL4HS) programme. Several students who have previously completed a high school level internship with GeneLab are now working on tasks such as literature review and figure generation for the publication. An additional output is that some of the semi-automatic figures that I have developed for this project have been adapted to different datasets for use in publications for the Covid-19 International Research Team (COV-IRT), of which Afshin is president.

Ultimately, I am very happy to have completed an internship with GeneLab. I’ve developed some great relationships along the way, which have continued past the scope of the internship. In particular, I’d like to thank Sam Gebre for organising the internship, Afshin Beheshti for being an excellent supervisor, and Sigrid Reinsch, Jennifer Claudio, Liz Blaber and the students involved in the GL4HS programme. If you wish to know more about my project or have questions about space biology in general, please feel free to reach me at: henry.cope@nottingham.ac.uk

-Henry

 

 

 

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My Placement at the BBC

post by Joanne Parkes (2020 cohort)

My Business Partner is BBC Research and Development. Early in 2020, I came across an advert for a funded ICASE PhD Studentship seeking individuals interested in Enhancing the Digital Media User Experiences using 14 Human Values. It was proposed that these values or psychological drivers which underpin our behaviour could be utilised in some way to shape future offerings and assess their impact rather than relying on more traditional performance measures such as clicks and view time. The studentship would be dedicated to investigating ways to delivering this.

Whilst my first degree is in Media Production and I initially worked in Radio, my career ended up being in Business Psychology where I have specialised in employee selection, assessment and engagement. This research area sits nicely at the Venn intersect of my interests so it was not a difficult decision to apply, especially as I was excited at the prospect of having time allocated to working with the BBC again by way of the placement.

Early on in the studentship however, I sat in on a presentation given by a couple of members of an earlier cohort on their placements. It didn’t seem that their skills and abilities were well used and I was left with an impression of it being not much more than a work experience. I’d resigned myself to the fact that I just need to get it over and done with and frankly, I hadn’t expected to get much more out of it than 20 credits and if I were lucky, perhaps some useful connections to leverage when it came to conducting my research.

I’m pleased to say that this has not been the case. It soon became apparent that my experience was going to be very different to what I’d heard about from 2 students whose experiences were perhaps the unfortunate exception to the rule. My industry supervisors engaged with me right from the start, setting up regular meetings which alternated between discussing their work and my studies. They sought my input on various projects which entailed everything from peer review to internal presentation of data analysis and made me feel valued for my contributions.

It probably helped that I started the studentship when my industry supervisors were part way through creating a Human Values inventory questionnaire which could be used to support several objectives such as helping to design values led ideation workshops through to assessing deliverables in terms of facilitating achievements of values aligned aspirations. My working history imbued me with directly relevant and transferable skills, giving me the confidence to review the work in progress and proffer constructive feedback which was granted more than lip-service consideration. This marked an unofficial start to working towards my placement.

Soon after, a section of the inventory was being tailored to measure alignment to some of the values in a workplace setting, specifically around ‘Belonging to a Group’ and ‘Receiving Recognition’. I could draw parallels with my previous work in the field of Employee Engagement, on measuring attitudes towards Equity, Diversity and Inclusion and again, I was encouraged to provide input towards survey items. Where this differed however was the intention behind the tool to engender self-reflection at time of answering, perhaps to prompt discussion with immediate teams and line-managers where values were not being met rather than analysis of responses at an aggregate level as is more typical in Employee Engagement surveys.

Early in the second semester, the placement was formally kicked off and I was able to be more involved in several short studies:

Study 1 (n: 153) sought attitudes from participants on BBC iPlayer’s capacity to fulfil their values using a 5-point Likert scale and used open questions to seek examples of programmes in each of the values areas (although platforms were often suggested as well, e.g. YouTube being posited for ‘Growing Myself’). This provided some insight into the values considered less well served plus an indication of group score differences relating to gender. There were some clear winners among programmes with ‘Blue Planet’ being listed most often by far for facilitating ‘Explore the World’.

Study 2 (n: 1,147) was a very short follow up survey where participants were provided with 20 programmes to rate in terms of their ability to facilitate each of the values. I helped to select the programmes based on a combination of recent ratings and output of Study 1 in an attempt to present a range of popular genres to increase the likelihood of the participant watching them. I was given autonomy over the analysis and presented our findings across the 2 studies to an internal R&D monthly sectional meeting which included the Head of Applied Research.

Study 3 (n: 15) took a big step from my comfort zone in the form of a in-depth interview on attitudes towards personalisation online. This is the first study I have been involved in where we are actively seeking to publish the findings – wish us luck!

Along the way, I have also volunteered to take part in studies conducted in other areas of BBC R&D. One (Orchestra Surround Sound) involved calibrating multiple devices (e.g. computer, phone, tablet) to create a more interactive and engaging experience with an orchestra which enabled participants to experiment with sound placement and volume. Another involved evaluating room acoustic representation in binaural spatial audio (Polymersive Reverb). Another sound specific study (Soft Clipper listening tests) related to software designed to address sound distortion as part of the BBC’s upgrade of FM transmitters. I also participated in a critical evaluation of R1 Relax and attended a workshop discussing benefits and ethical implications of applying AI&ML to thumbnail selection for programme representation. The latter was really helpful for picking up pointers on focus group facilitation (particularly in a remote setting).

As a panel member in a facilitated discussion group run by the BBC R&D Diversity & Inclusion working group which is driving a range of initiatives to identify and address challenges in this space, I shared what I considered to be challenges and benefits of my neuro divergence in the workplace. On another occasion, I participated in Hybrid Meetings User Testing, providing feedback on any issues or potential policies from my disability perspective. As much as this was another opportunity to network, it provided me a platform through which to advocate.

The work I have participated in, both that allocated by my industry supervisors and that which I have volunteered for, has been beneficial in a number of ways. Among other things, it has:

      • given me an idea of the scope of experimentation that the BBC has the resource to conduct,
      • helped me learn and practice research skills I am less comfortable with, particularly around qualitative rather than quantitative approaches,
      • given me some ideas as to how I might conduct some of my own research in the future,
      • provided me with some findings directly relevant to my research question,
      • cemented a strong working relationship with my industry supervisors to the extent that I feel a part of (and meaningful contributor to) the wider team rather than an adjunct.

A challenge with such a large organisation with many initiatives vying for attention seems to be that it can sometimes be hard to get traction for a new idea or initiative. However, many staff are still working remotely so I am not in a position to conclude if it is the nature of the organisation or a product of working in isolation that on occasion, it has seemed that proposing a cross team study has initially been akin to pushing against an opening door only to end up in a room called limbo.

On the other side, a benefit of the scale of my industry partner is reach when it comes to recruiting study participants. I was really impressed with the speed with which we were able to reach target completion rates on several occasions. This said, I have learned not to take this for granted as I have been aware of situations where colleagues have found recruitment much more arduous, so consideration still needs to be given to sampling, targeting and study appeal.

It seems almost impossible to reflect on anything that has occurred in the last couple of years without making reference to COVID19 related impacts. In my case, it has meant that there has been far less face-to-face time, but I don’t believe that this has been too detrimental as, prior to commencing the studentship, I had worked mainly from home for some years. This said, I was finally able to visit the offices towards the end of last year and a tour of the facilities has revealed options for study approaches that whilst potentially beneficial, now seem perhaps indulgent because in my mindset, the location is so novel to me.

When the placement started (and when it will end) has a very blurred timeline, it certainly hasn’t consisted of a discreet 3 month full or 6 month part time block which comes with the potential to over-commit but also comes with the potential to forget a genuine partnership throughout the course of study.

To conclude, I have gained a lot more from the placement than I had initially expected. I’ve had facetime with people well placed to support my research in the future and importantly to me, I’ve felt that I have made meaningful contributions throughout rather than (virtually) turning up in order to tick a box.

 

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Think Aloud Walking Study

post by James Williams (2020 cohort)

Hi everyone. I am currently a second-year PhD candidate at the Nottingham Geospatial Institute and the Horizon Centre for Doctoral training. My research investigates leisure walking experiences curated using user engagement. The research has the industry partner of the Ordnance Survey. 

I am recruiting for a study around the East Midlands (even if outside of this please get in contact) for a think-aloud walking study, where participants will be temporarily provided with a GoPro and asked to think aloud during a walk. The walks should be between 30 minutes – 1 hour and agreed before the day.

Participants should be over the age of 18, and able to complete a walk of this length.  

More details on this project can be found on this sheet. 

Please get in contact with me at James.Williams@Nottingham.ac.uk if you would like to request more information or request a study interest document.

And feel free to share this study with your network!

Thank you!

James Williams

 

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Call for Participants – Impact of the Kooth Platform on Subjective Well-being

post by Gregor Milligan (2021 cohort)

The “Impact of the Kooth Platform on Subjective Well-being” pilot study is exploring the changes in subjective well-being of participants before and after the use of a digital mental health support platform. We are particularly interested in exploring if the Kooth app impacts the subjective well-being of its users.

We are currently recruiting participants to use the app 3 times a week for 6 weeks. Participants will answer weekly surveys that will enable the understanding of their subjective well-being and experience on the platform.

We are looking for participants that fall within these demographics:

  1. Participants will be between the ages of 16 and 25
  2. Participants have not used the Kooth app before

If you fit into this demographic, we’d like to invite you to take part in this study, in which we will evaluate the effect of Kooth on subjective well-being. It will not be necessary for you to discuss your medical or mental health history or that of others, and you are under no obligation to disclose any information you do not want to. The surveys are designed to take around 5 minutes and will take place online. You will receive a £25 shopping voucher for contributing to the study.

This study will take place between March and May 2022, with dates to be confirmed once we have an idea of the number of participants.

For more information, or to sign up, contact Gregor Milligan at gregor.milligan@nottingham.ac.uk.

Many thanks,

Gregor Milligan and Liz Dowthwaite

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Journal Paper Published in the Computer Law & Security Review

“Defence Against the Dark Artefacts: Smart Home Cybercrimes and Cybersecurity Standards”

post by Stanislaw Piasecki (2018 cohort)

Dr. Lachlan Urquhart (Lecturer in Technology Law, University of Edinburgh and former CDT student) had the first idea in terms of the paper’s topic, which has evolved quite significantly since then concerning its content, structure and methodology. The paper has been written by myself, Lachlan and Professor Derek McAuley (Professor of Digital Economy, Faculty of Science, University of Nottingham). The initial version was based on the practice-led project module completed during the 2018-2019 academic year (part of the Horizon CDT PhD programme). The first title of the project was “Defence Against Dark Artefacts: Mapping Smart Home Cybersecurity Standards”. While I was working on the PLP, the United Kingdom Department for Digital, Culture, Media and Sport (DCMS) published a series of documents aggregating various standards in its “Code of Practice for Consumer Internet of Things (IoT) Security” and the associated “Mapping of IoT security recommendations, guidance and standards to the UK’s Code of Practice for Consumer IoT Security”. During the same period of time, the European Union Agency for Network and Information Security (ENISA) mapped standards in its “IoT Security Standards Gap Analysis”. We realised that the mapping has already been done both at national and EU levels and, as a result, focused our work on analysing the assumptions underpinning emerging EU and UK smart home cybersecurity standards, changing the article’s title to “Defence Against the Dark Artefacts: Smart Home Cybercrimes and Cybersecurity Standards”. Staying up to date was crucial to making our paper relevant and as accurate as possible. I considered the publication of the documents mentioned above as a positive development as I was able to completely focus on the analysis of the assumptions upon which IoT standards are based, the most interesting aspect of our project in my view. My motivation to write this paper has always been to stir discussions about those assumptions and contribute to moving policies into a positive direction for EU and UK citizens. While the main objective of our work has not changed, the means to achieve our goals did. For example, as a result of team discussions, we decided to use the routine activity criminological theory to explain security risks associated with the current design of many smart products. This theory has supported effective policymaking and crime prevention strategies for a long time and has recently been applied more frequently to “virtual” world-related scenarios. Discussing and contributing ideas with my co-authors was a great experience, which certainly improved the content of our article.

We started discussing the outline of the paper already in 2019. My professional background is in law and politics, and our project also involved work in fields such as computer science, cybersecurity and criminology. For this reason, the interdisciplinary nature of our team was helpful and important. In addition to online research and team discussions, I organised meetings with experts from the University and with people I met during various events (such as the 2019 EUROCRIM conference in Ghent, Belgium) to receive advice. However, the interdisciplinary nature of our project remained a challenge for me and involved much reading and discussions to better understand the computer science and criminological aspects of our article, especially at the beginning of my PhD journey (I was still getting familiar with certain basic terminology used in the computer science field). In my opinion, this part of the paper preparation process greatly enhanced my research knowledge and skills. While I will never become a computer scientist, learning about this field of study by reading journal papers, books but also asking questions to computer scientists continues to help me in proposing the most relevant and accurate legal solutions, as my work often lies at the intersection of law and technology. Writing this journal paper has reminded me of the value and importance of interdisciplinary work.

In terms of the review process, the initial journal, to which we submitted our paper had difficulties in finding reviewers and we decided to withdraw our submission. We made this decision before any reviewer was found. I discussed this with my co-authors to make sure that this was ethical (until then, I did not know that withdrawing the submission was in some cases an acceptable decision) and we contacted together the journal in question to be certain that they are comfortable with this as well. This is why the publication process has been much longer than anticipated. This has also influenced our work as we had to stay up to date with new research and technological developments, and include them into our paper while waiting for reviews. Subsequently, we decided to submit our article to the Computer Law and Security Review journal, known for its interdisciplinary nature. The reviewers were quickly selected and we started working on their comments.

Two persons reviewed our work and, in my opinion, the comments were fair. The reviewers were open to discussing them and it felt as if they really wanted to improve our paper rather than just criticise it. The article required a minor revision, which has been completed after two cycles of amendments. While we agreed with some comments, we disagreed with others but always found a common solution. I did anticipate some suggestions. For example, in terms of the structure of the paper, I have suspected that this might be something that they could comment on as I was hesitating myself on how to order specific sections. In this regard, the reviewers helped me in seeing this issue more clearly and finding the right solution. They also suggested citing additional articles, defining certain technical terms and giving more examples of real-world situations to illustrate my arguments. This has definitely improved our paper. In terms of the remarks we disagreed with, we were able to explain to the reviewers what we meant by particular statements and convince them that they are important. This also allowed us to refine those statements and make them clearer for future readers.

While publishing our paper took a rather long time due to the necessity to withdraw our first submission and switch journals, writing this article was a valuable and challenging process, my first publication of interdisciplinary work, an opportunity to collaborate with more experienced researchers and learn about various aspects of journal paper publications. I have already applied what I learned by submitting a second paper this year (based on the first two chapters of my PhD), which has been recently conditionally accepted for publication. Among others, this time I tried to use more concrete real-life examples to support my statements and define technical terms. Even though there might be very well-written articles, I think that there is always room for reviewers’ suggestions to further improve them, and I look forward to participating in the review process again in the future.

 

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Measure and track your mood with smart clothes

post by Marie Dilworth (2017 cohort)

Have you ever thought about what it would be like to wear a t-shirt that measured your emotions and your mood?

One day this might be a reality!

We are running an online survey to understand what people think about emotion-tracking smart clothing.

We would love to know what you think about the idea.

If you can it will take 10-15 minutes to fill out this survey to support PhD Research.

This research is being run by:

  • University of Nottingham, School of Computer Science and
  • Nottingham Biomedical Research Centre, Mental Health Technology

Survey:
https://nottingham.onlinesurveys.ac.uk/would-you-wear-mood-measuring-smart-clothes

 

Thank you for giving your time to support mental health technology research!

Marie Dilworth
PhD Candidate
School of Computer Science
University of Nottingham

 

https://www.nottingham.ac.uk/research/groups/mixedrealitylab/

https://nottinghambrc.nihr.ac.uk/research/mental-health