2009 10 01 Rapid Combinatorial Innovation V Acf 1

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Augustine Fou

How to leverage digital tools and techniques to speed innovation?

Business Technology

Rapid Combinatorial Innovation Excerpts for Digital Strategy Council (DSC) Forum Dr. Augustine Fou March 31, 2010.

How can we leverage digital tools and techniques to speed innovation? March 31, 2010.

Example: Amass Content Leveraging the community to create and accumulate content March 31, 2010. 500 million videos 3+ billion photos

Example: Police and Refine Content Leveraging the community to filter and refine content March 31, 2010. Community edits and refines the content over time Community polices itself via “ flag as inappropriate” link

Example: Filter and Prioritize Content Leveraging the community to provide context and prioritization March 31, 2010. Users submit reviews that help others filter and prioritize Reviews of reviews help bubble up the most useful ones

Example: Problem-solve collectively Leveraging the community to problem-solve and create March 31, 2010. Crowdsourced design Collective problem-solving to tackle difficult challenge

Innovation takes inspiration from the strangest places…. March 31, 2010.

March 31, 2010. Prof. Michelle Khine “ I got the idea for shrink-manufacturing nanomaterials from a childhood toy – Shrinky Dinks” Shrink-manufacturing of nanomaterials

March 31, 2010. Prof. Robert S. Langer “ In an auto-body shop I saw them repair a dent by heating the area; a lightbulb went on that I can do the same with shape-memory plastics.” Self-tying micro-sutures

… innovation takes constant collaboration among different disciplines March 31, 2010.

March 31, 2010. Bill Moggridge CEO, IDEO “ We set up project rooms around the periphery of our open office and individuals from different disciplines go in and provide their perspective and contribute ideas and solutions.” IDEO project rooms

… great ideas are a dime a dozen, but efficient execution and speed to market are keys to winning. March 31, 2010.

March 31, 2010. Ben Verwaayen CEO, Alcaltel-Lucent “ We need to change our mindset from supply-driven innovation to demand-driven innovation – what do customers want and how quickly can we make it for them?” Speed to market is of the essence

March 31, 2010. ,[object Object],[object Object],[object Object],[object Object],Rapid Combinatorial Innovation Leveraging digital tools and techniques to speed innovation

Lexicoseonomic Analysis™ A process to determine optimal words to use in scientific communications What are the words people use when they search? March 29, 2010. CONFIDENTIAL AND PROPRIETARY INFORMATION- DO NOT DISTRIBUTE

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Buckingham Shum, S. (2021). Deliberative Democracy as a strategy for co-designing university ethics around analytics and AI in education. AARE2021: Australian Association for Research in Education, 28 Nov. – 2 Dec. 2021 Deliberative Democracy as a Strategy for Co-designing University Ethics Around Analytics and AI in Education Simon Buckingham Shum Connected Intelligence Centre, University of Technology Sydney Universities can see an increasing range of student and staff activity as it becomes digitally visible in their platform ecosystems. The fields of Learning Analytics and AI in Education have demonstrated the significant benefits that ethically responsible, pedagogically informed analysis of student activity data can bring, but such services are only possible because they are undeniably a form of “surveillance”, raising legitimate questions about how the use of such tools should be governed. Our prior work has drawn on the rich concepts and methods developed in human-centred system design, and participatory/co-design, to design, deploy and validate practical tools that give a voice to non-technical stakeholders (e.g. educators; students) in shaping such systems. We are now expanding the depth and breadth of engagement that we seek, looking to the Deliberative Democracy movement for inspiration. This is a response to the crisis in confidence in how typical democratic systems engage citizens in decision making. A hallmark is the convening of a Deliberative Mini-Public (DMP) which may work at different scales (organisation; community; region; nation) and can take diverse forms (e.g. Citizens’ Juries; Citizens’ Assemblies; Consensus Conferences; Planning Cells; Deliberative Polls). DMP’s combination of stratified random sampling to ensure authentic representation, neutrally facilitated workshops, balanced expert briefings, and real support from organisational leaders, has been shown to cultivate high quality dialogue in sometimes highly conflicted settings, leading to a strong sense of ownership of the DMP's final outputs (e.g. policy recommendations). This symposium contribution will describe how the DMP model is informing university-wide consultation on the ethical principles that should govern the use of analytics and AI around teaching and learning data.

Deliberative Democracy as a strategy for co-designing university ethics aro...

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Many organisations seem to fear that making their products accessible means dumbing them down: they might then work for everyone, but they will lose a lot of their pizzazz in the process. In this eAccess-13 presentation Jonathan Hassell presents the contrary view - that organisations that really look into the different needs of their disabled audiences often find this breaks them out of fixed positions, allowing them to take innovative leaps in product design. Using examples from the typewriter to the iPhone classic ‘Zombies, Run!’ and his own recent projects involving the Microsoft Kinect games controller, Jonathan guides you through a way of thinking about product development which is inclusive, creative and potentially very lucrative.

Accessibility as Innovation - giving your potential users the chance to inspi...

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UTS CIC2 Briefing, 17 June 2016

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pres02_7jan014-amended

Andrea Cocchi

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FIAT/IFTA

IMPORTANT INFORMATION. This ppt has been amended. I uploaded a version lacking the last two slides: a business model I was working on and the bibliography. In this version (amended) the bibliography has been added. Apologies. A presentation over the characteristics and opportunities accruing from the platform thinking. Open Innovation is a chatchy word that rised a lot of interest as well as critiques (especially in Europe). The innovation porcess has allways been open and the sociotechnical progesses observed over the last century just show that. On the other hand, my inpression is that under this term there is a lot going on. Platform thinking is one of these phenomena.

From Pipelines to Platform thinking

Andrea Cocchi

Negotiating Innovation - Slides for the American Library Association's Future...

Rolin Moe

Digital Business

Lisa Harris

Open Access 2.0: from Rhetoric to ROI

MYRA School of Business

Learning Analytics: A Messy Research Construct

Mark Brown

Technology determinism

diyah rizqiani

SEMANTIC WEB and PERSONALIZATION

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EHAS

Efficient Use of Internet and Social Media Tools in Innovation Processes

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CSUN 2014 talk by Professor Jonathan Hassell describing how Hassell Inclusion, Gamelab UK, and Reflex Arc are using Natural User Interface technologies like Microsoft Kinect to create a whole new generation of assistive technologies based around the movements, gestures and signs different groups of disabled people make. Two projects are described: Nepalese Necklace movement games for blind and partially-sighted children that encourage blind and partially-sighted children to engage more readily with their early mobility training through making the body- and spatial-awareness exercises they have to perform the controls for motivational 3D audio-games; uKinect sign language eLearning games to help people who use sign language to more easily transition into employment by enabling them to learn workplace-specific sign vocabularies using instructive video and our innovative Kinect sign-language recognition system. NB. All videos in my CSUN presentation had captions, but it's not currently possible to caption the embedded videos in this slideshare. If you need access to the captioned videos, email jonathan@hassellinclusion.com

Accessibility innovation through gestural and sign-language interfaces

Jonathan Hassell

At the heart of ThoughtWorks is an ambitious mission: to be a proactive agent of progressive change in the world. Aware of our own privilege, we strive to see the world from the perspective of the oppressed, the powerless and the invisible. With QUT, here in Brisbane, we’re kicking off a series of research, projects, and conversations about the social impact of tech trends, with a view to building a more equitable tech future. Some of these topics include: - Algorithmic accountability, transparency, bias & inclusion - Responsible data practices (privacy and ownership of data) - Automation and the future of work - Data use in social media and elections - Fake news and echo chambers - Regulating decentralised technologies - Blockchain for good - End-user autonomy and privacy Slides from: Felicity Ruby, Eru Penkman, Clayton Nyakana, Assoc. Prof. Nic Suzor (QUT) & Dr. Monique Mann (QUT)

Building an Equitable Tech Future - By ThoughtWorks Brisbane

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Psychology, design and computer science

Diego Mendes

The Future of Social Analytics - Defrag 2010

Dion Hinchcliffe

Webinar: Learning Informatics Lab, University of Minnesota Replay the talk: https://youtu.be/dcJZeDIMr2I Learning Informatics AI • Analytics • Accountability • Agency Simon Buckingham Shum Professor of Learning Informatics Director, Connected Intelligence Centre University of Technology Sydney Abstract: “Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program. Biography: Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net

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2009 10 01 Rapid Combinatorial Innovation V Acf 1

1. Rapid Combinatorial Innovation Excerpts for Digital Strategy Council (DSC) Forum Dr. Augustine Fou March 31, 2010.

2. How can we leverage digital tools and techniques to speed innovation? March 31, 2010.

3. Example: Amass Content Leveraging the community to create and accumulate content March 31, 2010. 500 million videos 3+ billion photos

4. Example: Police and Refine Content Leveraging the community to filter and refine content March 31, 2010. Community edits and refines the content over time Community polices itself via “ flag as inappropriate” link

5. Example: Filter and Prioritize Content Leveraging the community to provide context and prioritization March 31, 2010. Users submit reviews that help others filter and prioritize Reviews of reviews help bubble up the most useful ones

6. Example: Problem-solve collectively Leveraging the community to problem-solve and create March 31, 2010. Crowdsourced design Collective problem-solving to tackle difficult challenge

7. Innovation takes inspiration from the strangest places…. March 31, 2010.

8. March 31, 2010. Prof. Michelle Khine “ I got the idea for shrink-manufacturing nanomaterials from a childhood toy – Shrinky Dinks” Shrink-manufacturing of nanomaterials

9. March 31, 2010. Prof. Robert S. Langer “ In an auto-body shop I saw them repair a dent by heating the area; a lightbulb went on that I can do the same with shape-memory plastics.” Self-tying micro-sutures

10. … innovation takes constant collaboration among different disciplines March 31, 2010.

11. March 31, 2010. Bill Moggridge CEO, IDEO “ We set up project rooms around the periphery of our open office and individuals from different disciplines go in and provide their perspective and contribute ideas and solutions.” IDEO project rooms

12. … great ideas are a dime a dozen, but efficient execution and speed to market are keys to winning. March 31, 2010.

13. March 31, 2010. Ben Verwaayen CEO, Alcaltel-Lucent “ We need to change our mindset from supply-driven innovation to demand-driven innovation – what do customers want and how quickly can we make it for them?” Speed to market is of the essence

14.

15. Lexicoseonomic Analysis™ A process to determine optimal words to use in scientific communications What are the words people use when they search? March 29, 2010. CONFIDENTIAL AND PROPRIETARY INFORMATION- DO NOT DISTRIBUTE

2009 10 01 Rapid Combinatorial Innovation V Acf 1

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