Shaping policy with Income Volatility data
Join Smart Data Foundry and JRF for a webinar exploring the transformative power of the Income Volatility Data and it's positive impact on policy.
Income volatility poses significant challenges to economic stability and individual well-being. Income Volatility data is an innovative tool designed to analyse and mitigate the impact of fluctuating incomes on households and communities. By providing detailed insights and actionable data, the Income Volatility data empowers policymakers, researchers, and social organisations to develop targeted solutions.
More about this event
Join Smart Data Foundry and JRF for an enlightening webinar on the transformative power of the Income Volatility data infrastructure and its positive impact on policy. Discover how this innovative tool addresses critical societal challenges and helps shape better policies for the future.
This webinar will feature discussions with Rosario Piazza, Chief Architect of Insights Infrastructure at JRF, and Magdalena Getler from Smart Data Foundry. Additionally, notable researchers such as Simon Pittaway from The Resolution Foundation, Dr. John Harvey, and Torran Semple from the University of Nottingham, who are actively utilising the Income Volatility Dataset, will participate.
Learn how their groundbreaking work holds the potential to drive positive change and make a real difference in our communities. Take advantage of this opportunity to gain valuable insights and engage in the conversation on advancing policy through data-driven solutions.
Speakers
Rosario leads JRF's insight and analysis infrastructure, which aims to generate timely and impactful insights on social and economic inequalities. Prior to joining JRF, Rosario was Data Lead at New Philanthropy Capital, where he was responsible for leading the charity’s data strategy and providing thought leadership on the effective use of data and impact measurement.
He has also worked for the children and young people's charity Buttle UK, and the West London Children Zone. Before joining the charitable sector, Rosario held various research and analysis roles for market research companies and has an academic background in law and forensic psychology.
Magdalena has been working in data, innovation, and technology for the past 15 years. She has led the design and development of products and services in various scenarios across the private, public, and not-for-profit sectors (Smart Data Foundry, University of Edinburgh, Digital Curation Centre, BBC, Art Institute of Chicago).
Magdalena is currently Head of Academic Engagement at Smart Data Foundry, working across legal, technical and research teams to define, build, and deliver a new service to provide safe and secure access to high-value de-identified private sector financial data assets to deliver unique socioeconomic and policy insights “at scale” (e.g., near-real-time large-scale, integrated, linked data across all geographies).
Simon joined the Resolution Foundation in February 2023. His work focuses on wealth inequality, household balance sheets and macroeconomic policy. Previously, Simon worked at the Bank of England in a number of roles covering macroprudential policy, household and corporate debt, and financial markets. He has a BA and an MPhil in Economics from the University of Cambridge.
Dr John Harvey is an Associate Professor based in N/LAB. His recent work focuses on the use of aggregated consumer behavioural data to address social issues, such as: food and nutritional security, food waste, loneliness, deprivation, and vulnerable migration. Dr Harvey is interested in questioning why we give so much of our private data to companies and expect that they do nothing prosocial with it in return.
His research interests are broad, and he has published on topics within consumer behaviour, network analysis, and economic anthropology. He enjoys experimenting with mixed methods and is particularly interested in observational methods that examine digital footprints, i.e. information that exists on the Internet as a result of our online activity.
Completed an MEng Civil Engineering degree at Edinburgh Napier University in 2021, where he specialised in the use of statistical models and machine learning techniques to analyse behavioural and perceptual datasets.
In September 2021, he began his PhD at the University of Nottingham. His current research focuses on the spatial dynamics of fuel poverty; the relationships between different types of poverty; the optimal way to measure poverty; and how to decarbonise housing without exacerbating social inequalities.
Who is this event for?
This event is aimed at those interested in learning more about Income Volatility data including:
- policymakers and government officials
- researchers and academics in social sciences
- non-profit organisations focused on economic stability
- financial advisers and consultants
- anyone interested in innovative solutions to economic volatility.