Are you roughly about 30, never liked math at school and want to make sense of AI, big data and data science? You’re in the right place!
I’m Marta and I research Big Data Analytics and Data Science from a management perspective to understand how organisations can make the most out of their data. In particular, I draw attention to the fact that we all behave differently when we’re observed – and social data is a way of observing what we do! Embracing this effect, how can we design better analytics? Wary of this effect, what can we do as individuals (#datamademedoit)?
I also write about big data, data science and analytics for those who didn’t like maths at school but don’t want to miss out in the future made of data. In my writing, I discuss strategies for learning the skills (#learningafter30) that will make you irreplaceable in the age of AI (#AIcantdoit).
I teach data, technology and e-business subjects at London School of Economics and Political Science and University College London. In the past, I founded two companies (before we used to call them startups) and I joined an elearning company where I was responsible for systems and innovation. I was invited as a speaker at over 20 conferences in Europe, North America, South America and in the Middle East. I was a guest lecturer at Westminster University, London Metropolitan University, Cardiff University, Hull University, Universidad Europea de Valencia, Pontificia Universidad Católica Argentina.
Always training for some sort of a run, I adore sheep and long walks around a large, slightly neglected lake I found in north-west London.
Research and writing
My research concerns how big data changes institutions, management and the wider society. I am most interested in uncovering how data is produced out of real-life events and how data practices change the way we do things. My PhD focuses on the use of big data in education and the consequences of datafication for schools, teachers and students.
In my writing, I turn issues in big data, analytics and data science into relatable concepts for those who may not be friends with numbers. I focus on how to prepare and learn for the future in which data and AI are commonplace. I explore skills and strategies for learning, but also give practical tips for those who don’t want to miss out on the future.