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Digital Business Model for Performing Arts at BAM2021 Conference

post by Kadja Manninen (2018 cohort)

In September 2021, I presented our paper ‘Digital Business Model for Performing Arts’ at The British Academy of Management (BAM) conference as part of the Creative and Cultural Industries track. I wrote this paper together with my supervisory team; Chris Carter, Andrew Leyshon and Sarah Martindale following the data collection of my first PhD study, which aimed to identify digital business models present in the UK arts and cultural sector, and provide an overview of the stage of digital transformation in the sector.

The interview data was gathered through eighteen semi-structured expert interviews with experienced arts and cultural professionals, who were working for sector support organisations, large and medium-sized cultural organisations and as independent entrepreneurs or consultants.

The goal of the paper was to highlight ‘best practise’ for enabling the adoption of digital business models by UK arts and cultural organisations as well as shed light to most common barriers preventing the adoption of digital business models. I submitted the paper in February 2021 and it was accepted in May 2021. Particularly the second reviewer provided some excellent feedback that I tried to incorporate as much as possible over summer 2021. The conference was hosted by University of Liverpool, but it took place online for the second time this year. My presentation was on September 2nd, and I was also chairing the Creative and Cultural Industries track session.

Overall, the conference experience was very positive. Our session had four papers and ten academics participating from all over the world, e.g. from the UK, France, Brazil and Kazakhstan. I received very positive feedback on the paper and met some interesting academics, with whom I have already been in touch regarding potential future collaborations. I was also asked by the track chair Dr Martha Bernal, whether I wished to be more involved with the track in the future, and this also has already been taken forward in the SIGs annual meeting.

This paper will not feed directly into my PhD thesis, but the analysis of the same dataset in relation to my research questions will feature in my findings. However, perhaps the most valuable outcome from writing the conference paper was that approximately one month after the conference I received an email from a commissioning editor working for a prestigious academic publishing house. He had spotted our paper at the conference and wanted to know whether we thought that the paper had the potential to be developed into a book. While a book project initially sounded somewhat overwhelming, together with my supervisory team, I’m now in the process of working on a proposal, which will be submitted to the publisher, and if accepted after peer-review, can lead to a book contract. This is definitely very exciting news, and hopefully, our book on digital business model for arts and cultural organisations will see daylight at some point in the upcoming years.

 

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Not-Equal Summer School

post by Jimiama Mafeni Mase (2018 cohort)

I participated in Not-Equal Summer School, a virtual summer school about social justice and digital economy. The summer school ran from the 7th of June to the 11th of June. It was designed to equip participants with tools to understand and support social justice in this digital economy. Participants were grouped into teams according to their research or career interests (i.e. urban environment, health & care, eco workers & labour, public services, and education & technology), to explore existing and emerging technologies and examine how power and social justice evolve with these technologies.

The first day was simply an introduction with a talk about the evolution of social justice in digital economies and machine learning. The key speakers presented some major topics about the use of Artificial Intelligence (AI) systems for social justice such as the relational structure of AI, the AI modelling pipeline, and the influence of AI and Big Data on human rights. A common issue among the talks was around machine learning model predictions’ interpretability, reliability and bias, and the complexity of the data used to train the models as data are usually collected at different stages in the pipeline.

The second day consisted of workshops that explored the use of gestures to express the consequences of power and social injustice in our work places, research and lives. Later, the identified gestures were used to propose designs of new utopian technologies. My team proposed a recruitment technology that considers hope, transparency and fairness as candidates usually face racial, gender and age bias and discrimination. Our gesture was ‘finger crossed’, which signified our hope for a recruitment technology that will be fair and transparent in its recruitment process. The day ended with an interesting webinar about human and collaborative work-practices of data science to improve social justice in AI.

Digital commons was the topic of Day 3. Commoning is the collective and collaborative governance of material resources and shared knowledge. During the day, we were required to define a common in our areas of interest. My team examined commoning of hygiene and health at the community level. We identified key actors in this space as health care professionals, sanitation workers, and residents. We identified key barriers in the implementation of such a common such as the impact of different jobs and responsibilities, different working schedules, and partnerships with external stakeholders e.g. the city council or NHS. We concluded the workshops by presenting ways of ensuring the success of our proposed digital commons, such as, creating rules and procedures to guide the behaviours of the actors, and emphasised that the rules need to be collectively developed. The day ended with a webinar about making data work for social justice.

The themes of the fourth day were systems change & power dynamics, and working culture. We explored the challenges and opportunities in working cultures and power dynamics to support social justice. Key challenges identified were working with senior stakeholders, managing external partners, limited funds and budget, project deadlines, and resource availability. Later, we discussed methods of improving working cultures and power dynamics such as bringing stakeholders together, confidence to speak up, adopt perspectives that do not necessarily come in research, creating allies, and rapid prototyping. We also proposed that institutions introduce power dynamics and working cultures training courses. The day ended with a webinar about using imagination and storytelling for social transformations and social movements. The speakers emphasised  the importance of visualising the kind of futures we want or imagine.

The summer school finished with two intensive workshops about ‘design fiction’.  That is, research and prototyping design fiction methods for the digital world to envision socially just futures. My team focused on a design fiction for the community, where members of the community could have equal opportunities to care, knowledge, and support with the use of community cobots. The cobots will act upon encrypted information with no personal data, to assist members of the community. We imagined such a cobot will not have access to any personal or individual information, and all members will have equal rights and responses from the cobot. These utopian brainstorming and imagination workshops were a great way to close the summer school. During the last hours of the day, we shared our thoughts about the summer school and each participant was asked to summarise their experience with three words. My words were ‘collaboration’, ‘fairness’ and ‘power’.

It is important to mention that we used Miro throughout the summer school. Miro is a whiteboard and visual collaborative online platform for remote team collaboration. It was my first encounter with the platform but familiarising myself with it was not difficult.

 

 

 

 

 

 

 

 

 

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Safe and Trusted Artificial Intelligence 2021

post by Oliver Miles (2018 cohort)

Over three days from 12th-14th July 2021, I attended and participated in the Safe and Trusted Artificial Intelligence (STAI) summer school, hosted by Imperial College and Kings College London. Tutorials were given by leading academics, experts from British Telecom (BT) presented a session on industry applications, and I along with several other PhD students took part in a workshop speculating on AI interventions within the healthcare setting, presenting our work back to the wider group. In the following, I’ll summarise key contributors’ thoughts on what is meant by ‘safe and trusted’ in the context of AI and I’ll outline the themes and applications covered during the school I found to be most relevant to my own work. Two salient lessons for me expanded on contemporary efforts to reconcile accuracy with interpretability in models driving AI systems, and on efforts to systematically gauge human-human/human-machine alignment of values and norms, increasingly seen as critical to societal acceptance or rejection of autonomous systems.

When I read or hear the term ‘Artificial Intelligence’, even in the context of my peers’ research into present-day and familiar technologies such as collaborative robots or conversational agents, despite tangible examples in front of me I still seem to envision a future that leans toward science fiction. AI has always seemed to me to be intrinsically connected to simplistic, polarised visions of utopia or dystopia in which unity with some omnipotent, omniscient technology ultimately liberates or enslaves us. So, when it comes to considering STAI, I perhaps unsurprisingly default to ethical, moral, and philosophical standpoints of what a desirable future might look like. I obsess over a speculative AI’s apparent virtues and vices rather than considering the practical realities of how such futures are currently being realised and what my involvement in the process might mean for both me and the developing AI in question.

STAI began by addressing these big picture speculations as we considered the first theme – ethics of AI. According to AI professor Michael Rovatsos, ethical AI addresses the ‘public debate, impact, and human and social factors’ of technological developments, and the underlying values driving or maintaining interaction’ (2021). In a broad sense there was certainly agreement that ethical AI can and should be thought of as the management of a technology’s impact on contentious issues such as ‘…unemployment, inequality, (a sense of) humanity, racism, security, ‘evil genies’ (unintended consequences), ‘singularity’, ‘robot rights’ and so on (Rovatos, 2021).  An early challenge however was to consider ethics as itself an issue to be solved; a matter of finding agreement on processes and definitions as much as specific outcomes and grand narrative. In short, it felt like we were being challenged to consider ethical AI as simply…doing AI ethically! Think ‘ethics by design’, or perhaps in lay terms, pursuing a ‘means justified end’.

To illustrate this, if my guiding principles when creating an AI technology are present in the process as much as the end product, when I think of ‘safe’ AI; I might consider the extent to which my system gives ‘…assurance about its behavioural correctness’; and when I think of ‘trusted’ AI; I might consider the extent of human confidence in my system and its decision making’ (Luck, M. 2021). A distinction between means and end – or between process and goal – appeared subtle but important in these definitions: While ‘assurance’ or ‘confidence’ appear as end goals synonymous with safety and trustworthiness, they are intrinsically linked to processes of accuracy (behavioural correctness) and explicability (of its system and decision-making rationale).

In her tutorial linking explainability to trustworthiness, Dr Oana Cocarascu, lecturer in AI at King’s College London, gives an example of the inclination to exaggerate the trustworthiness in some types of data-driven modelling that ‘…while mathematically correct, are not human readable’ (Cocarascu, O). Morocho-Cayamcela et al. (2019) demonstrate this difficulty in reconciling accuracy with interpretability within the very processes critical to AI, creating a trade-off between fully attaining the two end goals in practice (Figure 1).

My first lesson for ‘doing AI ethically’ is therefore the imperative to demonstrate accuracy and explainability in tandem and without compromise to either. However, it doesn’t follow that this alone will ensure safe and trusted outcomes. A perfectly accurate and interpretable system may lead to confidence in mechanism, but what about confidence in an AI’s apparent agency?

In her tutorial ‘AI, norms and institutions’, Dr Nardine Osman talked about the ‘how’ of achieving STAI by means of harnessing values themselves. She convincingly demonstrated several approaches employing computational logic (e.g. ‘if-then’ rules) in decision making algorithms deployed to complex social systems. The following example shows values of freedom vs safety as contingent on behavioural norms in routine airport interactions expressed as a ‘norm net’ (Fig.2).

Serramia et al. visualise their linear approach to ethical decision making in autonomous systems, positioning conventionally qualitative phenomena – human values (e.g. safety) – as contingent on and supported by societal norms, e.g. of obligation to provide passports/forms (2018). Efforts to break down and operationalize abstract norms and values quantitatively (e.g. weighting by hypothetical preference, observed occurrence) demonstrate how apparent features of human agency such as situational discernment might become more commonplace in negotiating safe and trusted outcomes.  My second lesson and main takeaway from STAI’21 was therefore the imperative of sensitising AI, and design of AI, to the nuances of social values – distinguishing between value preferences, end-goals, social norms and so forth.

Lastly and significantly, attending and participating in STAI’21 has given me invaluable exposure to the practicalities of achieving desirable AI outcomes. The focus on ‘doing AI ethically’ has challenged me to pursue safety, trustworthiness, and other desirable qualities in my own work – mechanistically in terms of ensuring explainability of my methods and frameworks; and substantively, in terms of novel approaches to conceptualising values and positioning against social norms.

References

Cocarascu, O (2021) XAI/Explainable AI, Safe and Trusted AI Summer School, 2021 https://safeandtrustedai.org/events/xai-argument-mining/

Luck, M (2021), Introduction, Safe and Trusted AI Summer School, 2021 https://safeandtrustedai.org/event_category/summer-school-2021/

Morocho-Cayamcela, Manuel Eugenio & Lee, Haeyoung & Lim, Wansu. (2019). Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions. IEEE Access. 7. 137184-137206. 10.1109/ACCESS.2019.2942390.

Osman, N (2021) AI, Norms and Institutions, Safe and Trusted AI Summer School, 2021 https://safeandtrustedai.org/events/norms-and-agent-institutions/

Rovatsos, M (2021) Ethics of AI, Safe and Trusted AI Summer School, 2021 https://safeandtrustedai.org/events/ethics-of-ai/

Serramia, M., Lopez-Sanchez, M., Rodriguez-Aguilar, J. A., Rodriguez, M., Wooldridge, M., Morales, J., & Ansotegui, C. (2018). Moral Values in Norm Decision Making. IFAAMAS, 9. www.ifaamas.org

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Reflection of Internship Experience

post by Vanja Ljevar (2017 cohort)

In today’s post I wanted to share with you some of the experiences I had during my internship with Boots, which took place from December 2020, to March 2021. The project I worked on was based on an idea that originated in Boots, a company named ‘winner of the Responsible Business of the Year’ – and for a good reason. The topic of the project is powerful, delicate, stigmatized and close to the heart of everyone involved in the project. It was called: Menstrual pain and prevalence of period poverty in England. The idea was that menstrual pain can be detected through the content of customers’ baskets. I had to classify products that would help us create a definition of menstrual pain and once that was done, I was able to expand the research and go from individual baskets to the level of English districts. This meant that we could measure the prevalence of menstrual pain, the correlations with other factors, such as deprivation and, ultimately – we could get ideas where period poverty exists. Once finished, this project was transformed into a paper that is now going through reviews and final touches.

Even though I didn’t physically go to Boots offices nor did I meet people face to face, I still managed to get a sense of intrinsic cultural values and underlying ideas that exist in Boots and the bottom line was: they really care. They care about their customers, they care about the optimal use of their data and they care about making a change. Considering the relevance of period poverty at any time and especially during an epidemic, it is needless to say this project was important. My results could potentially lead to changes of policies, big claims in the media and it was of utmost importance to get things right.

As it is the case with any internship, it is always one of the most exciting parts of Horizon CDT PhD: for those without real professional experience this is a great chance to learn about ‘the industry’, for those who (like me) already have years of working behind them, this is a chance to expand their horizons and make contacts. Unfortunately, my internship started when we were in the middle of a lockdown, working from home, isolated, worried and overwhelmed with already pressing PhD work. However, through all the ups and downs, there were lessons to be learnt during the 4 months of my internship with Boots. I decided to share these insights, as they came to me: stories I made through learning from mistakes, whilst coding, connecting the dots in my head or even painting my kitchen. 

So, without further ado, here is what I learned through the process.

ABOUT THE START: KILL YOUR DARLINGS

Every project starts with an idea of what can be done. 

However, if you are anything like me, you will start with *many* ideas.

But not everything should be done and nothing can be finished unless we prioritise.

There always comes a moment when we need to stop. Draw a line and say: no more ideas.

As hard as it sounds: sometimes we need to stop working on things that we enjoy, in order to focus on things that are more important.

In other words: no matter how much you love them – kill your darlings, because: no one will know what you do, until you actually do it.

This was the hardest part of my internships: applying data science to a complex topic means that there are many different ways in which we can create insights. However, I had only a limited number of resources at my disposal and in order to create meaningful research, some hypotheses remained just that: hypothesised. 

ABOUT THE BEST KIND OF WORK 

‘Crocodile tears’ come from the ancient Greek anecdote that crocodiles would pretend to weep while luring or devouring their prey.

But here is the thing: even if some tears look the same, research shows that there is a significant difference between tears in terms of their chemical composition.

Rose-Lynn Fisher took a series of microscopic photos that prove: tears of grief are different to tears of joy that are also different to onion tears.

So, here is my point: whatever you do, try to do something you truly believe in.

Whether it is a research project, a hobby or the job in the industry, the difference between people who really enjoy what they do and who do not is real.

Just as they can recognise crocodile tears, people somehow *know* whether your work and efforts are genuine.

I was lucky to work on a project that genuinely meant something to me. Menstrual pain and in particular, period poverty, and the idea that there are still women and girls who in today’s day and age cannot afford menstrual products is something that was very moving and close to the hearts and minds of everyone involved in the project. Personally, I believe that research can be the first step in changing the world’s biggest problems, but it doesn’t always have to be extremely significant. What it does have to be is: relevant to you. Therefore, when choosing (or accepting the internship topic),  be true to yourself, otherwise it will all end up in tears. (The true ones)

ABOUT TWO TYPES OF PROJECTS

Peter Thiel says there are 2 types of progress:

➡Horizontal progress — a type of progress that occurs from being a copycat. 

It can also mean an innovation of existing things, but expanding mostly in scale.

⬆Vertical progress — this is achieved by doing something new. 

Vertical progress is more difficult to achieve because it is an endeavor that was never done before.

Needless to say, we need both.

But vertical success is the one that gets you, well, higher.

I think it is very important to decide what kind of progress this internship should be for you. 

You will create value for a company, but you should also think about what kind of value you will create for yourself and your PhD. I was lucky to work on a project that interested me, however, it was completely unrelated to my PhD research. Therefore, I decided at the very start of the project that I will aim for vertical progress, creating something new, however – in case the project starts to develop and grow, I will (have to) be happy to give it up and help someone else continue the work. This is because I knew that I only had a very limited amount of the time on the project and that my PhD matters more. The truth is, some of us are inherently more prone to vertical thinking, but no matter how hard it is, we sometimes need to focus more on horizontal progress (in my case, finishing my PhD), than vertical progress (creating something new for the company).

ABOUT THE TOPIC

Not too long ago they discovered another painting, allegedly made by Van Gogh.

By many accounts, it wasn’t a pretty painting, not Van Gogh style and not something that would catch any critic’s eye.

But what was interesting about this, was that they really struggled to conclude whether it was a Van Gogh or not.

For the purposes of my story, it actually doesn’t even matter what it was in the end.

What matters though is this: during the investigation, the value of that painting was literally changing from one moment to another – from being worth several million (if it really is him) to virtually – nothing.

But the painting itself was always the same.

And this is the power of our perceptions.

Perceptions make us change our actions from logical to irrational.

And we rarely can estimate the real value of something only based on its functionality.

How important your work (or research) is, often depends on its perceived value by your stakeholders: the company, the government or even your supervisors. The trouble is – some topics can be extremely impactful, but other people might not think that. This is often where the power of communication steps in, and your ability to translate academic, ‘heavy’ content into something that others can perceive as impactful and valuable for them.

Ironically, the research about menstrual pain is so unexplored today because researchers did not perceive it as an important topic.

Many doctors do not perceive menstrual pain as important, because there is not enough research about it.

Many women do not perceive menstrual pain as something they should complain about to their doctors because – even if they do, chances are their doctors won’t perceive this as an issue.

Menstrual pain is not researched enough, because not enough people complain about it and treat it as an important issue.

And the vicious circle continues until we stop it and explain why this topic matters.

ABOUT STUPID QUESTIONS

One of the greatest advice I received recently was this: ‘Whenever you’re in doubt about something and you don’t know how to approach it, ask it as a stupid question.’

There are several reasons for this.

♟️Questions are always less threatening than statements that could be perceived as risky – particularly in front of people we don’t know that well.

♟️90% of the time everyone else is thinking of the same question and is too embarrassed to ask it.

♟️There is a lot of noise in our communication and asking dumb questions makes sure we land on the same page.

This is especially relevant during working from home when it is so easy to misinterpret something or simply – miss the huge part of communication we do not get via Zoom, by observing body language. Therefore, there IS such a thing as stupid questions – we should use them as our superpower.

ABOUT THE POWER OF TEAM

Anton Babinsky syndrome is a rare condition: people are blind or deaf.

But what’s strange about this is that these people are completely unaware of this.

And adamantly deny they are blind.

They confront the evidence of their blindness through lies they say to themselves and others.

I do wonder if we can find a parallel to this syndrome in the class of people who are clueless about their own shortcomings.

Some people are making mistakes, but they are not even aware of it.

Some clever people do stupid things, without even thinking twice about it.

Sometimes we simply don’t know what we don’t know.

But unlike Anton Babinsky patients, who suffer from a rare brain damage, we are able to prevent our own mistakes: by relying on other people in our team.

This is the power of constructive criticism and discussion – we all have a blind spot.

But a second opinion could help us realize it.

I realised the power of this during my internship when I was explaining in one meeting that we could extrapolate someone’s need for painkillers based on their purchases. I was about to make a wrong definition when the Boots project manager said that some painkillers have different packaging sizes and that could mean they simply last longer. Which why, of course, some women might seem like they do not need to buy painkillers, when in reality they have stacks of them at home. It seems obvious now, but I did not think of this before.

ABOUT PROCRASTINATION

During one work day I decided that instead of working on my final report, I would – paint my kitchen.

And there I was, doing a completely unnecessary job for 5 whole hours.

I was so tired in the end that I couldn’t do any other work and I just called it a day.

It got me thinking – why is it that it’s so hard to work sometimes?

Is it because we’re afraid of not meeting our super high standards – so we’d rather not start at all?

Is it because the circumstances are not ideal?

Or is it simply because we’re lazy?

I knew that if I really need a day off, I can just take it. However, I also knew that I needed to stop procrastinating and this was a strategy that I developed during my internship. I created so-called “microgoals”, where for each big task I planned to do on a particular day, I would create much smaller tasks and break them down as much as I could into smaller and smaller goals. Whether it was simply opening the excel sheet, writing a plan of action or even just writing the title – it’s still progress that I can be proud of. This is especially important during the pandemic, when the lines between work and free time can be so blurred that the work could easily take over a whole day and as a result –  seem like a daunting task the next day. This is why I tried to remind myself every day that every journey starts with a small step. And taking a day off to paint the kitchen is also an important step in this journey.

ABOUT THE END

Have you ever felt like you are at the end of your strength, but kept trying?

Whether it was that one more push in the gym or the final hour of your report, you went beyond and above what seems your natural limit and you persevered.

If you did, you’ve experienced something that the Finish call: sisu.

This is a word that does not have a direct translation to English, but represents the mental strength to continue even after you reach the limit of your ability.

The Finish created a whole ideology around sisu and they perceive it as the only thing that got them through the Winter War – and helped them regain their reputation and territory.

I know that many of us feel that 2020 has taken a lot from us. Whatever it is you do: writing your thesis, trying to get the data for that next study, planning your internship, or simply giving it another push to keep it all together in the midst of a pandemic, just remember the words of another war professional who knew the artistry of sisu: ‘if you’re going through hell, keep going.’ However, regardless of your situation, always remind yourself that everything we do during this PhD (including the internship) should be things we enjoy, things that teach us to be more competent and resourceful researchers and that in the end – one day we’ll look back at this short time we spent at CDT and think how lucky we were to have such a great opportunity.

If you would like to read more about my research on menstrual pain or just chat, just drop me a line at vanja.ljevar1@nottingham.ac.uk and if you would like to read more of my stories, visit me at instagram: @tryanglist

 

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Reflection of a Colloquium

post by Peter Boyes (2018 cohort)

As part of the programme with my industry partner Ordnance Survey (OS), each year I attend what they call a Research Workshop. It’s a multi-day trip down to their headquarters in Southampton, where they host all their sponsored PhD and Post-Doc students for a colloquium from their partner universities and programmes, both in the UK and a couple from abroad. The days consist of presentation sessions broken into themes of research, these presentations are given by each of the sponsored researchers to an audience of the other colloquium attendees and OS staff who drop in to relevant and interesting themes or talks over the days. In the breaks between presentation sessions there are poster sessions, each student presenting a poster of their work and able to talk with staff or other attendees there. These posters are also displayed over the course of the event to enable staff to drop by and take a look while they may be unable to attend a full presentation session, note questions and get in touch by email or later on in a break when the researcher is free. In addition there’s often a keynote speaker that kicks off the morning session talking around the general theme for each day.

As an annual event I have been able to attend at different stages of my PhD, and see progression across the visits. My view of the purpose of the event changed over appearances, and so did my confidence in my topic and myself. The conference-style event, presenting a poster, giving a talk, handling a Q&A with OS staff and fellow postgraduate researchers gave me a chance to learn from people going through the same process and some advice from them at their different stages of the postgraduate timeline. Over multiple poster sessions I honed the elevator pitch of my research for that year, and developed an understanding of my blind spots, the recurring questions that obviously I hadn’t anticipated or covered well enough in the poster, while developing my communication skills to multidisciplinary audiences. This was an opportunity to see others’ work that was similar to my field in different ways, and to practice communicating the research I was hoping to do or had done at the time of the workshop.

There is something to be said for not having any supervisors there, a little bit of a shock for me in my first year still settling into the doctoral training program at Nottingham. The student-supervisor relationship is a valuable one when navigating a PhD, but at this event I felt truly independent. At similar style events such as our Horizon CDT retreat I feel like even if they don’t contribute in my presentation, my supervisors are there in the background in the room or on the Teams call and may step in with comments or questions to jolt me along or help, but this wasn’t like that. This was more akin to what I expect conferences to feel like as I prepare to attend one and present later this year. Their contribution is there in the work, but I must be able to present and discuss the research as an independent researcher.

The event and this write-up gave me an exercise in reflecting on what stage I am at in my research. My first time attending, I was in the first year of the course, 5 months or so into my PhD and hadn’t exactly done an explicit research activity or carried out a study to talk about, I was still finding my feet. In that year, I talked mostly about my higher education background, my interests in a wide scope, essentially proposing questions I could explore and using the session to gauge some feedback on areas others thought could be interesting. This included areas to explore or advice on going down those paths, suggested literature or studies. Helpfully at this OS workshop there was an industry perspective on the applications and not just the theory or literature side or presentations.

In the next year, I could see for myself when making my presentation that my scope was narrowing, I was settling into an academic area, research questions were emerging less fuzzy, more defined even if not settled on at that point still. With the audience I was more engaged in discussion of conducted or planned studies and details of these, and looking towards potential research output goals and again the applicability to other sectors and industry.

With one of these trips to Southampton left to attend in my final run to thesis submission I will hopefully be in early write-up stages, and will be able to demonstrate some really interesting findings from this last year and my final study, and engage with those in their first years attending the workshop about their experiences in the PhD journey to that point.

To bring this to a conclusion, I would encourage postgraduate research to look for these colloquiums/consortiums even if not offered by your industry partner as they can help you engage with your research in a different way. These are an opportunity to participate without the same pressure or work of preparing a paper and submitting to a journal or conference, those are different experiences, both highly beneficial. I would also recommend in the way writing this has been for me, to engage with reflective exercises for your journey to recognise, even if for just yourself, the work you have been doing, the changes and narrowing of scope, and your understanding of a field or concepts. I would also encourage industry partners with multiple postgraduates across the country to try and organise events like these to support their development, and help to establish academic and industry networks they may be struggling with confidence or opportunities to build beyond their own centre or institution.

 

 

 

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Self-Care Game Jam

post by Alexa Velvet Spors (2017 cohort)

Hi everyone,

I’m currently recruiting for my last PhD study, a research game jam!

Please see details below – maybe it might be interesting for you, or you know someone who might enjoy it?

If you have Twitter, I’d massively appreciate a retweet or like to gain some visibility in the algorithmic soup 😊!

https://twitter.com/caringsystems/status/1412053592106799107

Thank you!!

Self-Care Jam

    • A week-long research game jam
    • 2nd to 8th August 2021
    • Let’s think, make and research games, mental health and caring technologies together.
    • £100 in Amazon vouc​hers + 2 tickets to the NVM for your time!

Register your interest here: 

https://forms.office.com/r/nSNz7wx6FB

Huh? What’s this project all about?

    • Do you have interest in mental health and/or self-care?
    • Are you someone who enjoys video games?
    • Do you think games can be more than just entertainment?
    • Do you enjoy making and designing things with other people?

Infomercial introduction aside: Hi, we are Velvet Spors and Imogen Kaufman, PhD students at the University of Nottingham. Together with the National Videogame, we are researching how mental health, self-care,  and games can come together to create new, exciting, and meaningful technology.

Games connect us, make us cry or laugh (or both at the same time!). They also allow us an open, safe space to explore feelings and make sense of ourselves. For this very reason, Velvet brought people together to create a community resource that other people can use as a starting point for designing and making self-care tech that is open-minded, genuine, and maybe different in its approach: The Caring Systems toolkit.

We are interested in testing out this toolkit with critical, curious people who enjoy gaming and who think technology can support our everyday lives and mental health. Does it work at all? What needs to be improved? Which changes should we make?

What would I have to do?

Monday-Thursday: Explore the toolkit in our own time + fill out a survey. (You can join us for optional 1h activities!)

Friday: Join us for a 2h kick-off event.

Saturday-Sunday: Spend 4h each day making and thinking with others.

Afterwards: Fill out a survey + an interview about your jam experience.

Receive a £100 Amazon shopping voucher for your time (or the equivalent in your country’s currency) + 2 tickets to the NVM!

Who are we looking for?

– Game jamming/making things collaboratively with other people is your jam (literally or figuratively).

– Exploring the potential of games and self-care technologies sounds fun to you.

– You enjoy making games and/or technology (or you have thought about making or designing it!).

– You have somebody local to you, who could check in on you during the game jam.

– You are 18+ years old and you are currently not experiencing a mental health crisis.

– You can commit to the game jam times (~10h over the week 2nd to 8th August 2021, especially 6-8th August 2021).

You do not have to be able to code or design — everybody is welcome, regardless of skill level.

The jam is open internationally.

Sounds cool! Sign me up!

Register your interest here:

https://forms.office.com/r/nSNz7wx6FB

 

All the best,

velvet

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Call for Participants: Sharing online profiles study

Do you share online profiles or accounts with others such as friends, family members, housemates, neighbours, acquaintances, or others?

If so, our University of Nottingham study is exploring how this happens right now, and how this experience of sharing can be improved in future technologies.

If you are interested and willing to take part in a 1.5hour online focus group session and complete a couple of surveys, you would be contributing to cutting-edge research to improve the online experience of sharing accounts and profiles with others.

If you participate, we would like to thank you with a £30 Amazon voucher for your contribution to this research. 

If you are interested, please contact:
Neelima.Sailaja@nottingham.ac.uk 
or 
Abigail.Fowler@nottingham.ac.uk

Please tell us who you currently share with (as many as apply): friends, family members, housemates, neighbours, acquaintances, or others.

Focus groups will run on a weekday evening at 7pm during July. Participants will be allocated to one focus group. Once you’ve been in touch we will offer you dates to attend.

If you know anyone else who may be interested, please share our information with them. 

 Thank you so much! 👋

Abi Fowler – PhD Candidate, Horizon CDT 2016 Cohort

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Journal Paper accepted to EAI Pervasive Health 2020 Doctoral Consortium

post by Shazmin Majid (2018 cohort)

Accepted paper: Designing For the User, With the User: Self-tracking Technology for Bipolar Disorder

Conference: EAI Pervasive Health 2020 Doctoral Consortium, Atlanta USA, October 2020

This paper was written for the purposes of showcasing the findings of my first work package which consisted of a series of workshops and interviews in 2020. This was a novel piece of work as I found that despite the growing number of technological products to help those with severe mental health conditions, only a few have carried out in-depth qualitative work with users to understand the user-device relationship with this type of technology. I was motivated to share this notion with the panel group of experts at the doctoral consortium to gauge feedback on the position of my work. Specifically one member had a published track record of technology for bipolar disorder which proved useful for the development of my PhD work. The paper was received well at the conference. In particular, the field expert described it as a “needed piece of work” and wanted to follow the updates of the project.

In terms of writing this paper, it was written alongside my supervisors who all equally contributed towards the work. Firstly, I prepared a presentation with the main premises of the paper (introduction, methods, results and discussion) and received feedback from the team and iterated the plan as needed. I wrote the first draft of the paper based on the agreed plan and then shared this with my supervisors for rounds of feedback and iteration. The final paper was then signed off by the team and submitted for consideration to the conference organisers. Also, this paper had a significant role within my PhD as it summarised my initial findings which were then subject to peer-review. This in turn prepared me for the next work package which consisted of the design of the digital self-tracking tool. The paper highlighted that the gap that I have found in the literature is valid and it is important to consider the unique needs of users in the design of mental health technology.

The findings of this paper have resulted in another paper which has been submitted to the Journal of Medical Internet Research for consideration. The full results of this paper including the design process will be submitted for consideration to CHI 2022. The process of writing and submitting this paper was insightful, as my background is in traditional psychology, this paper gave me my first experience of submitting to the field of computer science. Overall, it was an enjoyable and welcoming experience and look forward to future submissions of my work.

The paper’s abstract can be found here.

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Call for Participants: Affect Recognition Using Passive Data

Hi everyone!

We are running a study exploring patterns of passive phone and PC usage associated with different emotional states. We are aiming to gather subjective emotional levels, as well as phone and PC data, during one or two weeks. All of the data collected is anonymised and follows GDPR guidelines.

The study is funded by Horizon DER, and it is open to anyone above 18 years who has an Android phone or Windows PC. Participants will be offered £50 Amazon voucher for participating one week, with additional 30£ for a second week if they wish to continue.

Before the study begins, you will have to attend a 30-min online call to set up the experiment.

For more information or to participate in this study, please contact:
 Dr Mercedes Torres Torres or Jimiama Mafeni Mase at emotion.study.uon@gmail.com

Thank you!

Jimiama Mafeni Mase (2018 CDT cohort)
PhD candidate

Dr Mercedes Torres Torres (2010 CDT cohort)
Assistant Professor
Computer Vision Lab and Horizon Research Institute