Category: Study Recruitment

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Research Exploring Social Media, Young People and Mental Wellbeing

post by Cecily Pepper (2019 cohort)

Hello everybody, I’m Cecily from the CDT 2019 cohort. As part of my PhD research, I’m exploring how social media affects the mental well-being of young people, with a specific focus on our sense of self. I am recruiting and interested in hearing thoughts from all young people, but I am particularly interested in hearing from looked-after young people. I am also interested in hearing thoughts from social care professionals on this research topic.

For my PhD, I am conducting three studies, two of which are with young people and one with social care professionals. These will be informal, online discussions that explore the effects of social media on our sense of self, existing policies surrounding social media, young people and mental health, and how lockdown may have impacted upon young people’s social media use and mental health. I hope that the results of the studies will offer young people the opportunity to share their voice on this topic and the results may potentially have implications for future policies and social media design.

For more information on how to get involved in the research,
please see my webpage: cecilypepper.co.uk
or contact me at Cecily.Pepper@nottingham.ac.uk 

Please share this with anyone you feel might be interested in taking part.

Thank you!

 

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Call for Participants: Identifying synthetic aerial images

post by Matthew Yates (2018 cohort)

Hello,

I am University of Nottingham 3rd year PhD student partnered with the Dstl. My PhD project is about the detection of deep learning generated aerial images, with the final goal of improving current detection models.

For this study I am looking for participants to take part in my ongoing online study on identifying synthetic aerial images. We have used Generative Adversarial Networks (GANs) to create these.

I am looking for participants from all backgrounds, as well as those who have specific experience in dealing with either Earth Observation Data (Satellite aerial images) or GAN-generated images.

This is study 2 in larger PhD project looking at the generation and detection of GAN synthesised earth observation data.

For more information on the project and studies please visit https://aiaerialimagery.wordpress.com/

 

Purpose: To assess the difficulty in the task of distinguishing GAN generated fake images from real satellite photos of rural and urban environments.  This is part of a larger PhD project

Who can participate? This is open to anyone who would like to take part, although the involvement of people with experience dealing with related image data (e.g. satellite images, GAN images) is of particular interest.

Commitment: The study consists of a short survey (2- 5 minutes) then a longer detection task (10-20 mins but can be completed in own time) hosted on Zooniverse.org. 

This study involves identifying the synthetic image out of a set of image pairs then marking the parts of the image that informed your decision.

How to participate? Read through the information on the project site and proceed to the link for Study 2

Project URL: https://aiaerialimagery.wordpress.com/   (See Study 2)

Study URL: https://formfaca.de/sm/_kBsk76eo

About the Zooniverse platform: https://www.zooniverse.org/lab

For any additional information or queries please feel free to contact me:
+44 (0) 747 386 1599     matthew.yates1@nottingham.ac.uk

Thanks for your time.

Matthew Yates

 

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Detecting Fake Aerial Imagery – Call for participants

post by Matthew Yates (2018 cohort)

Hello everyone! I’m a 3rd year Horizon CDT PhD student partnered with the Defence Science and Technology Laboratory (Dstl). My PhD project is about the detection of deep learning generated aerial images, with the final goal of improving current detection models.

For this study, I am looking for participants to take part in my short online study on detecting fake aerial images. We have used Generative Adversarial Networks (GANs) to create these.

I am looking for participants from all backgrounds, as well as those who have specific experience in dealing with either Earth Observation Data (e.g. aerial imagery, satellite images) or GAN-generated images.

Purpose: To assess the difficulty in the task of distinguishing GAN-generated fake images from real aerial photos of rural and urban environments.  This is part of a larger PhD project looking at the generation and detection of fake earth observation data.

Who can participate? This is open to anyone who would like to take part, although the involvement of people with experience dealing with related image data (e.g. satellite images, GAN images) is of particular interest.

Commitment: The study should take between 5-15 minutes to complete and is hosted online on pavlovia.org

How to participate? Read through this Information sheet and follow the link to the study at the end.

Link to study:  Detecting Fake Aerial Imagery

For any additional information or queries please feel free to contact me: matthew.yates1@nottingham.ac.uk

Thanks for your time,

Matthew Yates

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Attitudes and Experiences with Loan Applications – Participants needed

post by Ana Rita Pena (2019 cohort)

My PhD is investigating how technologies to protect individual’s privacy in automated decision for loan applications impact people. Within the scope of this broad topic, I am interested in personal experiences of loan applications in regard to trust, fairness and decision making.

I am currently recruiting for my next study: Attitudes and experiences with Loan Applications: UK context.  The study is made up of a 45 minute interview (held online) and a follow-up online survey.

This study aims to understand how people feel about loan applications, data sharing in this context, and how well they understand the decision process behind these decisions.

We will be focusing on personal loans in particular. Participants will not have to disclose specific information about the loan they applied for (in regards to monetary value for example) but are invited to reflect on their experiences.

I am looking to recruit people who:
— are over the age of 18
— have applied for a loan in the UK
— are proficient in English
— able to provide consent to their participation

Participation in the study will be compensated with a £15 online shopping voucher.

More information about the interview study can be found here.

If you have any further questions or are interested in participating,  don’t hesitate to contact me at ana.pena@nottingham.ac.uk

Thank you!

Ana Rita Pena

You can read more about Rita’s research project here.