MyData Futures

 

MyData Futures

Imaginizing the human-centric personal data future

This track imaginizes what a MyData world would or could look like. What will be different, and thanks to whom? What will emerge that is currently unthinkable, what new problems and issues? Who could the key characters in these stories be? What does a “MyData world” mean for different people, in different contexts? How can the MyData vision transform specific industries and activities?

We need stronger, more appealing (and not necessarily coherent) narratives for MyData, and for this we need to explore potential MyData futures. We might be looking for utopias or dystopias, but also everything in between: paradoxical, fun, desirable, messy, failed, complicated, incoherent, and ordinary data futures. For this, we will try to mix futures thinking methodologies with arts, fiction or design. The goal is to somehow feel and get a grip of the MyData futures.

This track will include at least one creative workshop. It is also interested in inputs from the fields of literature, movies, arts, as well as utopian visions. 

Links to external resources:

A pre-conference workshop on Speculative Data Futures is organized in connection with this track.

Keywords: future, imaginizing, narrative, utopia, dystopia


The Imaginarium of MyData Futures  

Friday: Klubisali

10:45 - 14:30

TIME

Molly Schwartz, Neelima Sailaja, Lianne Kerlin, Linnet Taylor, Ian Forrester, Gregor Žavcer, Ren Watson, Ruaridh Thomson, Oguzhan Gencoglu

HOSTS AND PRESENTERS

What could the future be like when we have access to our data, to MyData? What will be different, and for whom? What will emerge that is currently unthinkable - new services, situations, actors, and issues? Who could the key characters in these stories be? What does a “MyData world” mean for different people, in different contexts? How can the MyData vision transform specific industries and activities?

What we might learn from these different possible futures, in order to create to best possible MyData world?

We will tap into visions ranging from emerging technology projections to speculative fiction in our quest to explore wild, even provocative, future scenarios: paradoxical, fun, desirable, messy, failed, complicated, incoherent, and ordinary data futures. The goal is to somehow feel and get a grip of the MyData futures, and in the process, identify some of the challenges ahead.

This strack will take the form of a single discussion on the possible futures of a MyData world, divided in two sessions: One focussed on emerging technologies, their future trajectories, and the impact on MyData futures; including the potential and challenges; And another that looks at life, society, and the economy in a MyData future.

<b>Reporting from Speculative Data Futures Workshop</b>

Daniel Kaplan, FING

Speculative Data Futures Workshop was held prior to the conference. What kind of scenarios did the workshop team come up with?


<b>Narratives for a MyData World</b>

Molly Schwartz, Metropolitan New York Library Council

For this session I will talk about speculative fiction that has helped me envision a different data future and the role that metaphor has played in these stories (including Quantum Thief and Nexus). I will also share a story of my own and help give advice on how and why others can craft their own.

<b>Future Roadmap Into MyData & AI</b>

Oguzhan Gencoglu, Top Data Science

As of today, artificial intelligence is nothing but a set of machine learning algorithms that (usually) learn from examples in order to perform certain tasks. Most of the high-performance algorithms are black-box models having high complexity and predictive/inference power but extremely low interpretability and transparency, i.e., they perform well but it is very difficult to pinpoint the logic during their decision process. This attribute of the current AI algorithms has been criticized by many and as a result, several initiatives (both academic and industrial) has been taken recently. As AI requires OurData to learn patterns from, unbiased, transparent and interpretable AI should be a significant goal of MyData community.

<b>Using Data Ethically to Create Future Media Experiences in Social Environments</b>

Neelima Sailaja, Lianne Kerlin, Ian Forrester, BBC/University of Nottingham

The Living Room is highly private, yet equally social and collaborative space. We are envisioning how smart objects (and their accompanying personal data) can influence highly customised media experiences. The living room of the future (LROF) explores future immersive media experiences that are driven by contextual data which are personal yet social.

<b>Human awareness of AI and AI awareness of people</b>

Ren Watson and Ruaridh Thompson, MyLifeDigital

Juxtaposition of humans, AI/IAS/machine and the law (regulations that govern who can do what and with who's data). Thought provoking, including ethics, responsibility and opportunity for recourse. Human awareness of AI and AI awareness of people.

Session is hosted by: (TBC)