Avoiding loneliness with StudyBuddy

A girl in a corner of a red space head on knees
Lonely Image by Foundry Co from Pixabay

University has always been a place where you make great friends for life. Social media means everyone can easily make as many online friends as they like, and ever more students go to university, meaning more potential friends to make. So surely things now are better than ever. And yet many students suffer from loneliness while at university. We somehow seem to have ever greater disconnection the more connections we make. Klara Brodahl realised there was a novel need here that no one was addressing well and decided to try to solve it for the final year project of her computer science degree. Her solution was StudyBuddy and with the support of an angel investor she has now set up a startup company and is rolling it out for real.

A loneliness epidemic

In the digital age, university students face an unexpected challenge—loneliness. Although they’re more “connected” than ever through social media and virtual interactions, the quality of these connections is often shallow. A 2023 study, for example, found that 92% of students in the UK feel lonely at some point during their university life. This “loneliness epidemic” has profound effects, contributing to issues like anxiety, depression, and struggling with their programme.

During her own university years, Klara Brodahl  had experienced first hand the challenge of forming meaningful friends in an environment where everyone seemed socially engaged online but weren’t always connected in real life. She soon discovered that it wasn’t just her but a shared struggle by students across the country. Inspired by this, she set out to write a program that would fill the void in student’s lives and bridge the gap between studying and social life.

Combatting loneliness in the real world

She came up with StudyBuddy: a mobile app designed to combat student loneliness by supporting genuine, in-person connections between university students, not just virtual ones. Her aim was that it would help students meet, study, and connect in real time and in shared spaces. 

She realised that technology does have the potential to strengthen social bonds, but how it’s designed and used makes all the difference. The social neuroscientist John Cacioppo has pointed out that using social media primarily as a destination in its own right often leaves people feeling distant and dissatisfied. However, when technology is designed to serve as a bridge to offline human engagement, it can reduce loneliness and improve well-being. StudyBuddy embodies this approach by encouraging students to connect in person rather than trying to replace meeting face-to-face.

Study together in the real world

Part of making this work is in having reasons to meet for real. Klara realised that the need to study, and the fact that doing this in groups rather than alone can help everyone do better, could provide the excuse for this. StudyBuddy, therefore, integrates study goals with social interaction, allowing friendships to form around shared academic interests—an ideal icebreaker for those who feel nervous in traditional social settings.

The app uses location-based technology to connect students for co-study sessions, making in-person meetings easy and natural. Through a live map, students can see where others are checked in nearby at study spots like libraries, cafes, or student common areas. They can join existing study groups or start their own. The app uses university ID verification to help ensure connections are built on a trusted network.

From idea to startup company

Klara didn’t originally plan for StudyBuddy to become a real company. Like many graduates, she thought starting a business was something to perhaps try later, once she had some professional experience from a more ‘normal’ graduate job. However, when the graduate scheme she won a place on after graduating was unexpectedly delayed, she found herself with time on her hands. Rather than do nothing she decided to keep working on the app as a side project. It was at this point that StudyBuddy caught the attention of an angel investor, whose enthusiasm for the app gave Klara the confidence to keep going.

When her graduate scheme finally began, she was therefore already deeply invested in StudyBuddy. Trying to manage both roles, she quickly realised she preferred the challenge and creativity of her startup work over the graduate scheme. And when it became impossible to balance both, she took a leap of faith, quitting her graduate job to focus on StudyBuddy full-time—a decision that has since paid off. She gained early positive feedback, ran a pilot at Queen Mary University of London, and won early funding for investors willing to invest in what was essentially still an idea, rather than a product with a known market. As a result StudyBuddy has gradually turned into a useful mission-driven platform, providing students with a safe, real-world way to connect.

Making a difference

StudyBuddy has the potential to transform the university experience by reducing loneliness and fostering authentic, in-person friendships. By rethinking what engagement in the digital age means, the app also serves as a model for how technology can promote meaningful social interaction more generally. Klara has shown that with thoughtful design, technology can be a powerful tool for bridging digital and physical divides, creating a campus environment where students thrive both academically and socially. Her experience also shows how the secret to being a great entrepreneur is to be able to see a human need that no one else has seen or solved well. Then, if you can come up with a creative solution that really solves that need, your ideas can become reality and really make a difference to people’s lives.

– Klara Brodahl, StudyBuddy and Paul Curzon, Queen Mary University of London

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This page and talk are funded by EPSRC on research agreement EP/W033615/1.

Sameena Shah: News you can trust

Woman reading news at a cafe table.
Image by Jean Luc (Jarrick) from Pixabay
Image by Jean Luc (Jarrick) from Pixabay 

by Paul Curzon, Queen Mary University of London

Having reliable news always matters to us: whether when disasters strike, of knowing for sure what our politicians really said, or just knowing what our favourite celebrity is really up to. Nowadays social networks like Twitter and Facebook are a place to find breaking news, though telling fact from fake-news is getting ever harder. How do you know where to look, and when you find something how do you know that juicy story isn’t just made up?

One way to be sure of stories is from trusted news-providers, like the BBC, but how do they make sure their stories are real. A lot of fake news is created by Artificial Intelligence bots and Artificial Intelligence is part of the solution to beat them.

Sameena Shah realised this early on. An expert in Artificial Intelligence, she led a research team at news provider Thomson Reuters. They provide trusted information for news organisations worldwide. To help ensure we all have fast, reliable news, Sameena’s team created an Artificial Intelligence program to automatically discover news from the mass of social networking information that is constantly being generated. It combines programs that process and understand language to work out the meaning of people’s posts – ‘natural language processing’ – with machine learning programs that look for patterns in all the data to work out what is really news and most importantly what is fake. She both thought up the idea for the system and led the development team. As it was able to automatically detect fake news, when news organisations were struggling with how much was being generated, it gave Thomson Reuters a head-start of several years over other trusted news companies.

Sameena’s ideas and work putting them in to practice has helped make sure we all know what’s really happening.

(This is an updated version of an article that first appeared in Issue 23 of the CS4FN magazine “The women are (still) here”)

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EPSRC supports this blog through research grant EP/W033615/1. 

The Emoji Crystal Ball

Fairground fortune tellers claim to be able to tell a lot about you by staring into a crystal ball. They could tell far more about you (that wasn’t made up) by staring at your public social media profile. Even your use of emojis alone gives away something of who you are.

Reflective ball with dots of lights
Image by Alexa from Pixabay (cropped)

Walid Magdy’s research team at Edinburgh University are interested in how much people unknowingly give away about themselves when they use social media. They have found that it’s possible to work out an awful lot about you from your social media activity. One of their experiments involved exploring emojis. About a fifth of posts on Twitter include emojis, so they wondered if anything could be predicted about people, ignoring what they wrote and just looking at the emojis they used in their tweets. They found that the way people use emojis in twitter posts alone gives away whether they are male or female and their ethnic background.

They started by taking a large number of tweets known to be written by either men or women and stripped out the words, leaving only the emojis they used. They then counted how often each group used different emojis. The differences in use of each emoji seemed to be revealing as there was clearly a different pattern of use overall of each emoji by men and by women. Men and women each use some emojis much more than others.

Next, they used emoji data for some of the people to train a machine learning system (creating what is known as a classifier). The classifier was given all the emojis used by a person and told which were by men and which by women. It built up a detailed pattern of what a man’s emoji profile was like and similarly what a woman’s was like. 

Given a new set of tweets from a single person the classifier could then try to predict man or woman based on whether that profile was closer to the male pattern or closer to the female pattern of emoji use. Walid’s team found their emoji classifier’s predictions were right about 80% of the time – essentially it was as accurate as doing a similar thing based on the words they wrote. When they tried a similar experiment with ethnicity (was the person black, white or of another ethnicity) the predictions were even more accurate getting it right 84% of the time.

A lot can be worked out about you from apparently innocuous information that is publicly available as a result of your social media use. Even emojis give away something of who you are 😦

Paul Curzon, Queen Mary University of London, Spring 2021

– Based on a talk given by Walid Magdy at QMUL, May 2021.