For the first time this year, the CADE Forum will run four workshops related to the personal data economy. Participants, particularly practitioners from industry, can sign up to CADE2018 and attend the workshops only (see CADE2018 homepage for conference cost details).
Please note that you can only attend two workshops; Workshop 2 will run concurrently with Workshop 3, while Workshop 1 will run concurrently with Workshop 4.
Workshop 1: Product Design in the Personal Data Economy
Led by Dr Andrius Aucinas
Personal Data Economy is changing the relationship between businesses and their customers through personal data. There has been a shift in the way businesses acquire the data, analyse and design products around it. In an environment where personal data can be contextual to the person, real-time and evolving as the context changes and is available on-demand, how can we think about products? This workshop with Dr Aucinas explores what new products and what changes in existing products can there be in this environment, and how product design changes with the availability of contextual, real-time and on-demand data. How do the advances in algorithms change the business value of personal data? The workshop will showcase examples of innovative businesses using personal data to evolve existing products and look at the wealth of data available from the key online platforms across the seven golden areas of data: social, financial, activities, location, images, calendar and search. This workshop is of interest to those in academia as well as industry.
Dr Andrius Aucinas is a Co-founder and Chief Executive of HAT Data Exchange (HATDeX), where he has led the building of the HAT Person-owned Personal Data (PPD) exchange platform, creating new opportunities in the Personal Data Economy. His focus with HATDeX is on “making data move” - creating value for individuals and organisations by making rich personal data available in real-time and on-demand. Andrius previously co-founded the Cambridge Coding Academy for teaching young people digital skills through hands-on learning and outcome-driven projects. He holds a PhD in Computer Science from the University of Cambridge and has extensively collaborated with some of Europe’s largest telcos’ research labs including Deutsche Telekom Laboratories and Telefonica I&D.
Workshop 2: Student Experience and Teaching in the Digital Economy
Led by Dr Albrecht Fritzsche
This workshop explores the changing nature of teaching in the digital economy based on new theories, frameworks and models that contrast with existing teaching in areas such as manufacturing economy, business, economics etc. Those wishing to present in this session may bring work on curriculum design, tools employed, teaching methodologies and pedagogies. We welcome demonstrators that allow others to experience state-of-the-art teaching methods currently being used that combine digital technologies with traditional techniques. Presentations should highlight how the approaches prepare for the type of jobs our students will likely end up in (digital as opposed to manufacturing organisations).
Dr Albrecht Fritzsche holds a doctoral degree in philosophy from TU Darmstadt and another in industrial management from Hohenheim University, Stuttgart. Albrecht is currently affiliated with the Institute of Information Systems at Friedrich-Alexander University Erlangen-Nürnberg, where he teaches innovation strategy and various other topics concerning the organisational and technical conditions of socio-economic change. He is also involved in various industrial research projects concerning digital innovation, including the Service Manufactory JOSEPHS® project of the Fraunhofer Institute for Integrated Circuits.
Workshop 3: Data-Driven Business & Economic Models
Led by Professor Irene Ng
Data-driven business models have grown exponentially and is becoming the primary source of revenue for a variety of firms from capital goods industries through to Internet-based companies such as Google and Facebook. In an era where trillions of data points are being produced, it is important to understand what types of data-driven business models can be formed and how they can be implemented in order to gain a competitive edge. This workshop focuses on how to think about data, how to develop new business models with data, how markets are organised around data, where and how future transactions can be organised and where it creates value in complex service ecosystems such as the Internet with multiple stakeholders. In the workshop, Prof Ng uses actual cases of real organisations to help participants understand how data is disrupting industries from health, manufacturing, insurance, finance, and others. This workshop is of interest to academia, policy makers and industry.
Professor Irene Ng is the author of Creating New Markets in the Digital Economy published by Cambridge University Press, Professor of Marketing and Service Systems at WMG, University of Warwick and the creator of the HAT Personal Data Platform (https://hubofallthings.com) and Chairman of the HAT Foundation Group. More at http://ireneng.com
Workshop 4: Behavioural Visibility in Data - Experiencing New Research Methods with Reality Mining
Led by Professor Roger Maull
The rapid evolution of the digital world from data mining to reality mining proposes new fascinating opportunities to observe human social behavioural activities and analyse them with the goal of identifying the predictable patterns of behaviour. The workshop led by Prof Maull explores how to develop research projects and use these new scientific research tools and methods in social sciences based on these observations, particularly through the use of the HAT Micro-server data account that allows research respondents to donate their actual behavioural data (spending, location, activities, sleep) to research. The participants will have an opportunity to practice with simulated HAT data, and discuss how to use behavioural visibility in the form of data to craft a robust and useful research project, how to set up respondent panels, create rules and put in place tests for reliability, and validity, ensure robust and unbiased experimental design, analysis, interpretation, and reporting of results.
Professor Roger Maull is a Professor of Management Systems at Surrey Business School. He has a long standing interest in systems theory and considers that Ashby’s Law of Requisite Variety can provide a theoretical underpinning to many managerial problems. His current research is into the impact of digital technologies on future economic activity including, IoT, personal data, wearables and digital currencies. He has published widely in leading journals including, IJOPM, Journal of Operations Management and the Journal of Supply Chain Management.