01: MyData nuts and bolts
02: GDPR – the new black
03: Case studies
04: Ethical processing of MyData
05: Insights to consumer behavior
06: Global landscape
07: Human approaches to consent
08: Roadmap for personal data markets
09: Technical building blocks
10: Sharing data without privacy compromises
11: Design + personal data?
12: Our data
See also our Call for Abstracts for the academic workshops that form a part of the conference.
Keywords: Human-centered; Big Picture; Data & Empowerment; Mastering your Data; Shared Value; VRM; PIMS; Privacy; Control
This track addresses the need for participants to catch up with the subject of the conference, to refresh their memories, or just to make sure you’ve come to the right conference! It will give the big picture of the human-centric personal data movement and the models behind it. After attending the sessions of this track, participants should have a clear vision and have experienced the potential of this paradigm shift, and never ask again: “isn’t Pims a drink?”. How do people get empowered by their data and improve their privacy today (experiments, existing services…)? How is shared value created for individuals as well as for the businesses? Participants will then be able to go deeper in whatever topic they choose in other tracks.
Keywords: GDPR; business opportunity; data protection & regulation; compliance
Recent legislation, especially the new European General Data Protection Regulation (GDPR), have attempted to significantly strengthen the standing of individuals in a digitised world. While some see such regulation as a heavy burden, others embrace the modern implementation of key principles and the increased control they give to individuals, and going further other see the regulation as a spur to a new larger economy where personal data is respected.
Where regulation meets business imperatives, a tension is created. This track will explore those tensions from competing perspectives. It reviews the GDPR as a force to fundamentally reshape the empowerment equation between service providers and consumers, and identifies innovation in person-centric service technology and disruptive business models, making the GDPR a competitive asset for some and a competitive threat to others. We review state of the art legal & commercial questions relating to privacy as a business asset and identify constructive human-centric ways to interpret regulatory implementation.
We invite contributions that address the regulation of personal data, looking particularly at how business objectives can align with the principles of individuals’ control of their own data.
Keywords: use cases; examples; services and apps; platforms; showcase; pitching
This track addresses the need to show the value of the human-centric personal data movement, and that it is not only a vision, but is also a reality today. This track will focus on three questions:
#Understand: What are the use cases (services, apps, platforms, …) illustrating the human-centric personal data movement?
#Analyse: What is the value of those use cases: for the individuals and for organisations?
#Learn: How are those use cases doing? Are they on the market, do they have evolved in the last year? What worked for them, what didn’t work?
This track will explore use cases that are already in the field, showing the Personal Data Ecosystem is alive and here today, but also the ones from the future showing the massive potential that is to come! The best ones will have the opportunity to be showcased to all the participants of the conference.
Keywords: data ethics; data transparency; algorithmic accountability; algorithmic fairness; artificial intelligence ethics
The Ethical Processing of MyData track addresses the need for tools and methods helping to raise awareness and understanding of how personal data is collected, stored, and processed with algorithms and artificial intelligence systems. The workshop and sessions will cover practical solutions and clear guidelines, from transparency of personal data processing all the way to maintaining ethics in the design of artificial intelligence systems. In between, it will also touch on issues of algorithmic accountability and fairness, to help assess and then counter algorithmic bias and algorithmic discrimination. This track will explore how far technical solutions can mitigate thorny ethical questions.
Keywords: motivations; expected benefits; perceived risks; trust toward companies; self-trust & self efficacy; protection; control; transparency; empowerment; curiosity; adoption; appropriation
The effect of the GDPR and the opening of personal data will surely create new opportunities for new business. But how will consumers react to this newfound openness and power? Will their expectations and behavior change radically?
So far, MyData has been mostly looked at through the eyes of a highly digital individual. What about those who lack continuous access to the internet or even a reliable digital identity, like in some developing countries? Will the MyData paradigm raise up opportunities and solutions for bringing the non-diginatives into the digital world?
Keywords: EU; non-EU; personal data ecosystem; multi-stakeholder initiative
In this track we’ll be comparing multi-stakeholder people-empowering personal data initiatives from all corners of the world, to assess the budding global personal data proto-ecosystem. Why, how, by whom do these initiatives happen? What are the commonalities of a typical success/fail story? What are the typical difficulties and tensions in personal data initiatives, the things to do and not to do when building successful trials? How to get required partners’ involvement and successfully manage the associated governance and liability issues? How would international community building support the development of more globally integrated personal data initiatives and help individual initiatives to take off right? Academic, policy, tech and enterprise people welcome.
Setting aside the philosophical debate on the consent mechanism itself, this track will focus on the problem areas surrounding the implementation of consent. Consent is the critical fulcrum that makes MyData possible – it tips the balance in favour of people (the human aspect), but also potentially makes MyData exponentially more valuable and useful to organisations. Getting Consent right will ensure that the balance between Me (my expectations, rights and interests) and the rest of the world will enhance data flows, rather than impede these flows.
Given the theme of the conference, the context for the problem area is quite broad; participants are welcome to address consent in AI or machine learning, IoT, healthcare, or special protection groups. Traditional research in this area has included evaluations of the terms of consent, readability of notices, and / or information sharing agreements.
Novel submission in this space are welcome, but we are also interested in exploring the art of putting obligations (be they regulations, standards, policies or contracts) into practice. Including exceptions to consent, notice as a proxy for consent and the limits (safe spaces) of consent commercially.
Demo’s, workshops, and keynote submissions are welcome. Ranging from implementation standards (i.e. consent receipts), interoperability and technologies that enable in consent in practice.
Keywords: business models; PIMS; GAFA; personal data markets; data portability; governance models; trust frameworks
This track focuses on exploring the development of personal data markets. In short term the focus is on understanding what is the go-to-market for the PIMS or the new service providers and start-ups who are focusing solely on human-centric personal data markets. Immediate sight focuses also on how bigger companies should play in this field and how big Internet companies (so-called GAFA”M”s) are reacting to ideas behind human-centric personal data. In mid-term we explore and evaluate how personal data markets are evolving especially considering the post-GDPR market landscape and overall what happens with new data portability regulation. In long term the track is focused on evaluation possible governance models, dynamics or trust network and sustainability of different business models. The ultimate goal for the track and these three levels of thinking is to compose a roadmap for the personal data markets and understanding what are the connections between different levels of thinking.
Keywords: data models; semantics; protocols; architectures; interoperability; decentralization; self-sovereignty
What is it that makes MyData “work”? It’s the set of technologies that store, share, link, and move data. The landscape of data standards, protocols, and architectures however is complex, and even experts often don’t agree what specific technologies should be used for what purpose, and how different pieces fit together. Yet, in order to evolve the MyData vision into more than just a collection of isolated and incompatible island projects, the magic keyword seems to be interoperability. What are the building blocks that can help us turn MyData into something that is bigger than the sum of its parts? And how does technology relate to questions of ethics and governances?
Keywords: standards in security; cryptography; anonymization; authentication; authorization; secure infrastructure/ecosystems; privacy preserving technologies
The main objective of this track is to produce an analysis on what kind of privacy and security compromises results from data sharing, and which technical approaches help shift the compromise. Giving people the power to exchange data with multiple entities from a single entry point opens up for a lot of security and privacy risks. To address these risks, we could discuss secure storage, secure access, secure transmission, authentication, authorization and secure and privacy preserving ways of handling, sharing and calculating on data.
Keywords: design research; human-data interaction; interaction design; privacy; service design; usability; user experience
This track is exploring the emerging landscape at the intersection of design practice and personal data. If you are a design practitioner or researcher from any design field, we welcome your contribution that cover case studies, practical solutions and your approach to the following areas:
This track aims to bring to light significative experiences as well as opportunities and future directions to bring the human-centered approach to personal data.
Keywords: our data; collective action; social value; social data; data excess; data frugality
Human-centric personal data use is often discussed in individualistic terms. In this track, we depart from the individualistic framework and focus on the social and societal aspects of the data economy. We promote discussion of how the capacities of data technology might be harnessed to promote social justice, new forms of agency, participation, and collective action. Motivating questions include, but are not limited to: How could collective action be leveraged to counter power imbalances in the data economy? Much of personal data is fundamentally social in nature – how to approach ‘our data’ instead of ‘my data’? How can people share their personal data, creating social and use value for their community, beyond the economic value generated by the mediating platform? What should we do with the ‘data excess’ that we are generating and what are the steps that could lead to ‘data frugality’?
Below you can see highlighted two example tracks: