Over the past 2 decades, Digital Platforms (DPs), including Facebook, Google, Amazon and Apple, have risen from insignificant start- ups to a dominating set of firms with a combined 4 trillion dollar market capitalisation1. These now ubiquitous DPs have revolutionised many aspects of everyday life, from working and studying to communicating and dating. In recognition of this unprecedented rise of commercial power, legal and academic scholarship has begun to revisit the concepts of monopolistic market behaviours and the subsequent potential for both economic and political influence.
Metadata and Non-Fungible Token Architecture
Cryptocurrency and Blockchain technologies are fast becoming areas of public interest across a breadth of diverse domains, with novel applications ranging from financial services to state politics. In particular, promising future use cases of these decentralised technologies aim to re-define the concept of value, and potentially enable a new wave of accessible investment opportunities for the general public. One such example of this is through Non-Fungible Tokens (NFTs), which act as digital certificates of ownership for a given piece of digital content. These stamps are stored as tokens on a public Blockchain (such as Ethereum), which uses complex hashing algorithms to ensure that each token is unique, tamper-proof and publicly-visible. This adds value to a range of digital content & artworks through enabling a single source of truth relating to its ownership and historic activity.
The Perception of Threat in Female-Targeted Online Abuse
As a component of the INFO-272 Research course at the School of Information, I lead an independent qualitative research study in order to explore the perception of threat in a range of online abuse situations through the contexts, themes and experience of five self-identifying women. Online abuse is becoming an increasingly prevalent issue in modern day society, with 41% of Americans having experienced online harassment in some capacity in 2021. People who identify as women, in particular, can be subjected to a wide range of abusive behaviour online, with gender-specific experiences cited broadly in recent literature across fields such as blogging, politics and journalism.
Female Experiences of Online Abuse, Sexism and Trolling: Call for Participants
Online abuse, including trolling, is becoming an increasingly prevalent issue in modern day society. Women, in particular, face a higher threat of becoming the recipient of online harassment, with examples widely reported in recent literature across blogging [1], politics [2], journalism [3] and multiple other fields. This study, conducted through the School of Information at the University of California, Berkeley, will involve remotely interviewing 5 self-identifying women with the goal of understanding their experiences of online abuse.
Winning the US-UK Fulbright Scholarship for Data Analytics
From being told I only got my first job in engineering because I was a woman, to starting a Postgraduate degree … as a Fulbright Scholar!
I'm hugely grateful & honoured to announce that I've received this year's Elsevier US-UK Fulbright Commission Award for Data Analytics, ahead of attending the UC Berkeley School of Information this fall.
After starting my journey as an Engineer almost a decade ago, studying at the Cambridge Engineering Department & Institute for Manufacturing (IfM), University of Cambridge, before working at McLaren Applied, starting two businesses and joining Anmut, I'm excited for my next chapter exploring how Artificial Intelligence can revolutionise our approach to global engineering challenges and bring social good.
'Big Data' Machine Learning using Spark & Azure with the Women in Data Initiative
As a Data Scientist, I fall directly into the category of programmer who, at least once a week, uses the phrase ‘sure, but…. I’m not a Data Engineer’. Back in the days in which CSVs, Jupyter notebooks and ‘Titanic’ style datasets from Kaggle were enough to satisfy Data Science needs, this response was pretty valid. Sure enough, this basic stack proved totally sufficient with which to do some pretty exciting Machine Learning and analysis.
Data Protection in Social Media: the TikTok Data Request
Recently, I received a notification in my TikTok app saying that my data request had been successful and that I could now download my personal file. I’m a regular user, and as a Data Scientist, I’m always eager to grasp any opportunity to better understand my own data footprint. Even knowing what I know about online data collection and how powerful this can be in empowering better products, services and opportunities for users, I still tend to feel a little uncomfortable at the sheer volume of what’s returned.