Summary: OYOD or Own Your Own Data is a simple, radical (likely unattainable) idea based on new tools, behaviors and policies that allow people to control their data and grant access to third parties. The early stage reality of an OYOD-ish future will likely be messy and imperfect — but still better than what we see today. Read more
data
Learning Startup to Watch: Declara’s Vision of a Cognitive Graph
Declara is one of the most unique startups in the world of enterprise-scale learning platforms. The company has built an intelligent social learning system that is often referred to in the media as a combination of Google’s Knowledge Graph and Facebook’s Social Graph.
Declara’s vision is to create and leverage a Cognitive Graph that delivers neuroscience-inspired personalized learning based on the context of real-world experiences, intent, outcomes and social relationships.
The system aims to deliver content recommendations and facilitate the most appropriate social connections between learners across large organizations and social communities. The platform integrates the latest capabilities of artificial intelligence subdomains – machine-learning and deep-learning to scale-up predictive analytics and prescriptive learning experiences based on an individual’s intentions, capabilities and needs.
The company sees a very rich and untapped landscape of learning analytics that will benefit from neuroscience-based insights on learning experiences. The ‘adaptive’ and ‘intelligent’ labels simply mean that Declara’s infrastructure learns over time based on real-world interactions and outcomes.
Declara’s CEO Ramona Pierson (Twitter) has an amazing comeback life story and a brilliant mind that sees the convergence of neuro-cognitive science, intelligent social systems, semantic search, graph databases, et al. Co-Founder Nelson Gonzalez (LinkedIn; Twitter) brings a pragmatic and optimistic lens to learning analytics and the intersection of local cultural elements and semantic search.
Declara has a very clear scale-out oriented business model that targets large customers such as national government associations (e.g. Mexico’s SNTE, Australia’s CSE) and enterprises like Genetech. They picked a wonderful problem to solve. Declara is a startup to watch…!!
Learn More:
- Declara on Twitter
- Bloomberg article
- Business Week Interview Ramona Pierson Novemmber 2013
- Semantic Web blog post
Interesting links on cognitive graph:
- IBM is hiring an intern for Social Analytics and Cognitive Graph (umm!!);
- Nodus Labs Graph
- Garry’s tags on Machine-Learning; Deep-Learning; Graph; Adaptive; Watson
Videos
Ramona Pierson
Interview at 2014 Gigaom event
Ramona Pierson speaking
Nelson Gonzalez – 2010 brief interview – hopefully more Youtube clips will appear soon!
https://www.youtube.com/watch?v=xmjDVrz5X5g
OYOD Own Your Own Data Movement
Summary: What type of data will make people want to protect it? Forget about social web data, personal health and lifelong learning data and analytics offer the most compelling niches to raise public awareness to own and control our personal data. Health data goes beyond clinical electronic health records (EHR) to include lifestyle analytics currently championed by the quantified self movement. Learning data goes far beyond high stakes test scores to include life-enriching experiences captured via the ExperienceAPI (TinCan) standard and controlled by the learner.
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Connected Data innovations for Health-Wellness & Lifelong Learning shape an experience industry
Where might the Own Your Own Data (OYOD) movement find its momentum?
The vision of an Own Your Own Data (OYOD) future is a world of informed and empowered individuals who can control their own personal data and leverage (via opt-in) it with companies, organizations and governments as they see fit.
Elevating data literacy and social norms on how to control, protect and apply our own personal data will take years to unfold. As of early 2014, the ‘OYOD movement’ is dispersed and off the radar. By the end of the year things could be very different. Projects such as IrisPact (pronounced I RESPECT) and media attention on personal data could shift expectations and set the stage for OYOD policies to be implemented.
Where might OYOD gain momentum? The near term target is tilting the balance of power over our social web data back to the user. Protecting personal data and advocating for ownership within social web environments is a worthy goal but late in the game to try and change the rules. Most existing social data projects are shallow efforts essentially linked to controlling our own precision advertising profiles.
If we are looking for arenas that an Own Your Own Data (OYOD) movement could emerge– healthcare and lifelong learning are two possibilities.
Health
The idea pushed within the healthcare and wellness space is broadly known as Personal Health Records or Electronic Health Records (EHR). These platforms allow individuals to gather, protect, share and synthesize individual and family health data records. It is an important transition but insufficient in understanding health-wellness issues beyond clinical setting. Lifestyle health analytics currently found within platforms and APIs from the quantified self community could compliment EHR records to give a more complete real-world picture.
Imagining a world with ‘ownership’ of personal health data is a complicated futures scenario, but plausible and certainly powerful enough to build popular support for ‘OYOD’ policies.
Health Data Projects to Watch:
BlueButton (US); OpenHealth Data (UK); SMARTPlatforms; Dossia; Patients Know Best; MyPHR; Indivio; Open EPIC; Kaiser Permanente Interchange, Atena CarePass, et al.
Learning
In recent years we built our ‘social graph’ that outlines who we know and how we know people by relationships. In the next decade many of us will build our own ‘learning graph’ of what we know and how we know concepts across a wide range of domains.
Building a data-driven ecosystem for controlling our learning graphs is complicated. It is never wise to try and place bets on data standards – but I am bullish on the long-term impact of two enabling foundations to record and leverage lifelong learning experience data.
The first concept to watch is: ExperienceAPI (or TinCanAPI) the next generation (post SCORM) standard application protocol of ‘activity statements’ (I did this…) that allow us to choose when we capture learning experiences. Learning activity statements can be online or offline – within school, work settings or walking in a park. (e.g. I read x-book. I attended x-workshop. I wrote y-book. I earned a masters degree from x-university. I watched x-TED talk. I visited x-museum exhibit. I took photographs of x-flowers. I read a NYTimes article on x-topic).
These ExperienceAPI statements are stored in a LRS (Learning Records Store) platform that gives individuals control over which “I did this…” life experience statements can be shared with other people, institutions or companies. Access to specific LRS data streams allows organizations to dynamically adjust information and experiences to individuals.
There are significant barriers to imagining an OYOD world of lifelong learning but there are paths forward which I will explore in future blog posts.
Learning Data Project to Watch:
ExperienceAPI (TinCanAPI), WatershedLRS, SaltboxWAX LRS;
Knowledge Graphs; Adaptive Learning Platforms
There are other angles to Lifelong Learning data. Adaptive learning platforms; and Danny Hillis’ vision of a Learning Graph
Image Use: Creative Commons URL