![Ecosystem
Heterogeneous
and
conGnuously
evolving
set
of
firms
that
are
interconnected
through
a
complex,
global
network
of
relaGonships.
[Basole
et
al.,
2012]](https://image.slidesharecdn.com/russelluia4-19-2013-130421021651-phpapp01/85/Russell-uia-4-19-2013-29-320.jpg)
Russell uia 4-19-2013
- 1. h"p://www.flickr.com/photos/22231314@N08/ Building a Community of Edupreneurs in the Learning Industry Future Learning Lab, University of Adger April 19, 2013 Martha G Russell Sr. Research Scholar HSTAR InsGtute Sr Research Fellow, IC2 InsGtute ExecuGve Director, mediaX at Stanford University
- 2. Pre-‐Internet Land Grant Colleges – Agricultural Experiment StaGon Acid Rain: Crowd-‐sourced ciGzen science
- 3. Dawn of the Internet Biotech, MEIS, MCC, UM-‐wide, NaIonal Technological University, “Flying seminars”, MAMTEC, TGSA (Capella University), Appeal.org, chat room ethnography, online surveys
- 4. Internet 2 • Digital desktop dashboards • Internet2 Sociotechnical Summit • Social media – Twi"er analysis – Data Tsunami • Social networks – QuanGfied self • ExponenGal change & amphibians • InnovaGon ecosystems • TransformaGon through shared vision
- 5. Internet 3 • Global IT/local change • Distributed cogniGon • Personal learning at scale
- 6. Deep Knowledge with Wide Applicability IN THE HEART OF SILICON VALLEY IN A CULTURE OF RAPID ITERATION, WHERE DISRUPTION IS CELEBRATED WHERE TALENT, INFORMATION AND CAPITAL RESOURCES FLOURISH THE ISSUE IS NOT THE RATE TECHNOLOGY TRANSFER THE ISSUE IS THE EFFECTIVENESS OF INNOVATION AND KNOWLEDGE TRANSFER WE CALL THIS “COLLABORATIVE DISCOVERY” The Media X approach WORK ON BOLD IDEAS WITH BUSINESS, TEST SUCCESS/FAILURE CONDITIONS, ITERATE RESULTS QUICKLY, TRANSFER INSIGHTS AT EVERY STAGE at S T A N F O R D U N I V E R S I T Y H-‐STAR HUMAN SCIENCES AND TECHNOLOGIES ADVANCED RESEARCH INSTITUTE
- 7. THE GOAL OF CREATIVE COLLABORATIONS IS TO DO SOMETHING TOGETHER THAT NEITHER COULD DO INDEPENDENTLY
- 8. CSLI Eng EE Psy Ed SSP SCIL Anatomy PBLL GSB Peace CHIMe CARS ! ! ! ! Discovery Collaborations ! Span Stanford Labs! School of Education; Education and Learning Sciences REVS program Graduate School Of Business Communication Between Humans and Interactive Media Stanford Center for Innovations in Learning Project Based Learning Laboratory Symbolic Systems Program Engineering & Product Design Center for the Study Of Language & Information Stanford Anatomy and Radiology LAb Computer Science fMRI Lab Linguistics Ling Peace Innovation Lab Law Center for Legal Informatics LIFE Learning in Informal and Formal Environments CS Electrical Engineering SHL Stanford Humanities Lab VHIL Virtual Human Interaction Lab PBLL Work Technology & Organization DVL Distributed Vision Lab Des Stanford Joint Program in Design d.school at S T A N F O R D U N I V E R S I T Y
- 9. 9 Productivity of Knowledge Workers 7 projects selected from 25 proposals Process Integration Platform: Enabling Process Transparency Within Teams and scaling of Process Knowledge Across the Entire Firm Technologically Mediated Cooperation and Collaboration EteRNA: Accelerating Knowledge Creation for RNA Bioengineering through Internet-Scale Gaming The Utility of Calming Technologies in Improving Productivity Creativity and Culture: Understanding Team Creativity and What Fosters It A Journey from Islands of Knowledge to Mutual Understanding In Global Business Meetings Detecting States of Mind Through Non-Verbal Behavior Measuring & Increasing Knowledge Worker ProducGvity at S T A N F O R D U N I V E R S I T Y Knowledge Worker Productivity
- 10. Total Engagement at Work and Play Knowledge Worker Productivity
- 11. The UIlity of Calming Technologies in Improving ProducIvity Perform. Produce. Don’t burn out. Be creaIve. Chill. Focus. Heal. Relax. Recover. Take care of yourself. Don’t stress out. Stay healthy. Be present. Live in the moment. Goal: Devise and evaluate ways to augment human self-‐ regulaGon with technology = calming technology. Knowledge Worker Productivity
- 12. Technologically Mediated CooperaIon and CollaboraIon Goal: Understand how informaGon search interfaces can be designed to facilitate be"er decision-‐making. Premise: It should be possible to reduce selecGve exposure bias by strategically parGGoning self-‐consistent and self-‐inconsistent informaGon to different degrees. Knowledge Worker Productivity
- 13. DetecIng States of Mind Through Nonverbal Behavior • Impact: Preliminary results imply that gesture can predict the quality of a two-‐person, face-‐ to face-‐interacGon Knowledge Worker Productivity
- 14. When People Become the Content of Media ParGcipaGon, PersonalizaGon and EmoGon for Persuasion, Risk, and Reward Infinite Reality Worker Productivity
- 15. January 22, 2012 15© 2012 by Reid Senescu Premise team interacGons with files reveal workflows Knowledge Worker Productivity
- 16. OTHER RESEARCH THEMES at S T A N F O R D U N I V E R S I T Y • Contextual Ambient Intelligence • MulG-‐modal CommunicaGons & Content Mgmt • Publish on Demand • The Future of Content • Personalized Learning at Scale
- 17. • In an always-‐on networked world of educaGonal opportuniGes that opGmize learning at many levels of difficulty and assistance. • Research is needed to understand the requirements for learning maps of dependency relaGonships – metadata tagging and recommendaGon engines – digital assessment and feedback systems – deep understanding of how to match learner modaliGes to learning resources – the meaning of idenGty and relaGonships in the technology-‐enhanced learning process. Personalized Learning at Scale
- 18. mediaX research themes with EducaIon, Engineering, HumaniIes collaboraGon Research, teaching and training on natural language processing Sensing and control – enabling the natural interacGon of people with informaGon in the physical world Learning and training Video processing, cataloging, processing and reuse Technologies for social interacGon and collaboraGon Online media content Human – machine interacGon and sensing Fusion of virtual and physical worlds Knowledge worker producGvity Future of content Publish on Demand ID Collaborations on Learning Over half of media-‐ funded proejcts have included collaboraGon between EducaGon, H&S and Engineering researchers. 92 projects 250 proposals
- 19. The Universe that is ME! IDENTITY IS PERSONAL IDENTITY IS SOCIAL
- 21. ? Anonymous One Site Multi-Site Self-Asserted Socially Validated Verified ü Pseudonymous ü ü Limited Liability Persona IdenGty Spectrum h"p://www.idenGtywoman.net
- 22. Data Privacy & Self-‐RegulaGon Consumer Bill of Digital Rights Information Disclosure Confidentiality of Information Security of Information Participation in Advertising Decisions Respect and Nondiscrimination Complaints and Appeals
- 23. Relationships as Channels Intl Workshop on ParGcipatory Surveillance: Global Threats Org
- 24. Can Health Spread As Well As Disease? Contact – Vulnerability - Conditions Happiness Networks James H Fowler and Nicholas A Christakis, “Dynamic Spread of Happiness in a Large Social Network: longitudinal analysis over 20 years in the Framingham Heart Study network,” BMJ 2008;337 Salathe´ M, Jones JH (2010) Dynamics and Control of Diseases in Networks with Community Structure. PLoS Comput Biol 6(4): e1000736. doi:10.1371/ journal.pcbi.1000736 Transmitting Relationships Access - Trust - Relevance
- 25. Distance Old New
- 26. The Way We USED to Think About Organizations New OrganizaGonal Chart Based on RelaGonships Relationship-Focused Co-Creation Infrastructure Stakeholder Infrastructure = RelaGonships (Companies are interlocked through key people – informaIon flow, norms, mental models.(Davis,1996)
- 27. New Data & New Tools Accessing Data Streams about Innovation Building a Dataset on Innovation Crystallisation Through Visualisation The Card-‐Mackinlay-‐Shneiderman visualisaGon reference model:(Card et al., 1999; Miksch, 2005) !"#$%&'()*+% ,"-)*% ./0*1)2*3'1$% 4"-"/*3'1% 51*+6$)$% ,)1)10% 7)$8*+)2*3'1% 5(39"% :1;"++)0"1("% </)9*;"% =*;*% !"##$%&'()*+,'-% Accuracy of Wikipedia (Giles, 2005)
- 28. The new maps may be based on the connecGons through relaGonships -‐ rather than on distance. § Ecosystem PerspecGve § RelaGonship based § Links form networks § Resource flows = knowledge, capital, talent § Network orchestraGon
- 29. Ecosystem Heterogeneous and conGnuously evolving set of firms that are interconnected through a complex, global network of relaGonships. [Basole et al., 2012]
- 30. InnovaGon Ecosystems Approach • Networked systems perspecIve to examine why, when, and how interfirm networks and alliances form and change (GulaI et al., 2000) • Co-‐creaIon creates value (Ramaswamy & Guillart, 2004) • Value creaIon requires orchestraIon among firms across segments (Basole & Karla, 2012; Dhanaraj & Parkhe, 2006) • Responsiveness to changing internal and external forces (Rubens et al., 2011) • Shared Vision guides and accelerates transformaIon (Russell et al., 2011)
- 31. InnovaGon Ecosystems InnovaIon Ecosystems refer to the inter-‐organizaGonal, poliGcal, economic, environmental, and technological systems through which a milieu conducive to business growth is catalyzed, sustained, and supported. A dynamic innovaGon ecosystem is characterized by a conGnual realignment of synergisGc relaGonships that promote growth of the system. In agile responsiveness to changing internal and external forces, knowledge, capital and other vital resources flow through these relaGonships. Martha G. Russell, Kaisa Still, Jukka Huhtamaki, and Neil Rubens, “Transforming innovation ecosystems through shared vision and network orchestration,” Triple Helix IX Conference, Stanford University, July 13, 2011.
- 32. Many Stakeholders in Innovation Ecosystem Ecosystem Startups Angels, VC firms, Incubators Law Firms, AccounGng Firms UniversiGes Banks and Financial InsGtuGons UGliGes, Industry AssociaGons CUSTOMERS & MARKETS
- 33. Actors & Events Impact over time Coalitions Shared Vision TransformaGon Measure & Track Interact & Feedback Co-Create Value Measuring Impact of Transformative Coalitions in Innovation Ecosystems Martha G. Russell, Kaisa Still, Jukka Huhtamaki, and Neil Rubens, “Transforming innovation ecosystems through shared vision and network orchestration,” Triple Helix IX Conference, Stanford University, July 13, 2011.
- 34. Who Will Control the ‘Publish’ Bugon? Silo’d vs. Open InnovaDon Response of Legacy Enterprises From this…. … to this. Disruption! InnovaIon Ecosystem VisualizaIon and Analysis: A Study of the Emerging Publish-‐on-‐Demand Industry Martha G Russell, Stanford University; Neil Rubens, University of Electro-‐CommunicaGon; Rahul C. Basole, Georgia InsGtute of Technology; Jukka Huhtämaki, Tampere University of Technology, Tim McCormick, Palo Alto, CA; Russell Thomas, George Mason University; Kaisa SGll, VTT; and Jiafeng Yu, Shanghai, CA Purchase the compeIIon Create our replacement Holtzbrinck Group
- 35. Innovator's Dilemma: How to Raise the Next GeneraGon? The case of NewsCorp & Holtzbrinck James Murdoch Newscorp Stefan von Holtzbrinck Holtzbrinck / Macmillan
- 36. NewsCorp: From incumbent to disgraced has-been Newscorp: long history of accusations of political influence, anti-union and anti-competitive practices. Myspace acquisition - one of biggest corporate social-media failures Especially after phone-hacking scandal in UK, Low public trust level and brand association. James Murdoch - youngest son and heir-apparent to founder Rupert Murdoch Born: 1972 (age 41) Horace Mann School; Harvard dropout In 2003, appointed CEO of Newscorp-controlled BSkyB, youngest-ever CEO of a FTSE 100.
- 37. Parliament report: James Murdoch 'showed wilfull ignorance of the extent of phone-hacking' .. 'guilty of an astonishing lack of curiosity’ over the issue. 2012 resigns positions as Executive Chairman of Newscorp's U.K. newspaper arm, BSkyB chairman, GSK board NewsCorp: From incumbent to disgraced has-been
- 38. Holtzbrinck / Macmillan: Embracing science, innovation, disruption MacMillan New Ventures new $100M venture with mandate to build a business that will undermine our own... acquire ed-tech startups that will eventually be the future of Macmillan. Science Online: science-startup and VC fund, 2011, spun out of Nature Publishing Group's key innovation group led by Timo Hannay. OATV / PeerJ: Holtzbrinck's Science Online was cited by Tim O'Reilly as inspiration for new O'Reilly Alpha Tech Ventures fund and its funding of disruptive science publisher PeerJ. Holtzbrinck Ventures - venture capital arm, founded 2000, has become leading German early-stage VC firm Stefan von Holtzbrinck, chairman, widely involved in science innovation initiatives, Chairman of the Board of Max Planck Foundation, German's largest research funder (and world's 3rd largest).
- 39. Holtzbrinck / Macmillan: embracing science, innovation, disruption
- 40. Networks Show Ecosystem Changes New business themes emerging in publishing industry
- 41. Networks Show Ecosystem Changes STARTUPS IN PUBLISHING INDUSTRY Dynamic innovaIon University parIcipaIon Eager investors Many related sectors Digital media, Saas Social media, mobile eBooks Many geographic areas NY, SF, LA, London, InnovaIon Ecosystem VisualizaIon and Analysis: A Study of the Emerging Publish-‐on-‐Demand Industry Martha G Russell, Stanford University; Neil Rubens, University of Electro-‐CommunicaGons; Rahul C. Basole, Georgia InsGtute of Technology; Jukka Huhtämaki, Tampere University of Technology, Tim McCormick, Palo Alto, CA; Russell Thomas, George Mason University; Kaisa SGll, VTT; and Jiafeng Yu, Shanghai, CA, Presented at Workshop on InnovaGons in Networks, New York Stern School of Business, September 29-‐30, 2010.
- 42. Networks Show Ecosystem Changes • AcquisiIons mergers • Eager investors • OpportuniIes for change GROWTH PUBLISHING INDUSTRY InnovaIon Ecosystem VisualizaIon and Analysis: A Study of the Emerging Publish-‐on-‐Demand Industry Martha G Russell, Stanford University; Neil Rubens, University of Electro-‐CommunicaGons; Rahul C. Basole, Georgia InsGtute of Technology; Jukka Huhtämaki, Tampere University of Technology, Tim McCormick, Palo Alto, CA; Russell Thomas, George Mason University; Kaisa SGll, VTT; and Jiafeng Yu, Shanghai, CA, Presented at Workshop on InnovaGons in Networks, New York Stern School of Business, September 29-‐30, 2010.
- 43. CLICK TO PUBLISH RelaDonship Networks Reveal Shared Visions, CompeDng FacDons and Major DisrupDons in the Publishing Industry RelaIonship Network analysis can show: • The structure and coherence of compeIng facIons • Emergence of shared visions and value proposiIons • Indicators of industry evoluIon, signaling transiIon from ‘emerging’ to ‘growth’ stage Hypothesis: • RelaIonships are pipelines for talent, informaIon and financial resources. • Value chains are co-‐ created through relaIonships. nnovaIon Ecosystem V sua zaIon and Ana ys s A Study o the Emerg ng Pub sh on Demand ndustry M G U N U mm G H m m U m M m m G M U We see: Dynamic innovaIon • University parIcipaIon • Eager investors Many related sectors • Digital media, Saas • Social media, mobile • eBooks Many geographic areas • NY, SF, LA, London SIPX, Inc.
- 45. Norwegian Tech-‐based Companies Their Branch Offices and Their Financial Orgs Links show relaGonships Example view to IEN dataset in Gephi. Companies are selected with keyword search “Norway + Norwegian;” the funding organizaGons associated with those companies are added Nodes represent companies and their investors; edges indicate resource flows. The network layout is created with Yifan Hu MulGlevel algorithm and nodes are inflated according to their indegree, i.e. the number of the connected investors.
- 46. Advisors Angels Expand Access Investors leverage co-‐creaGon opportuniGes with investments in mulGple companies. Intl companies not shown. Companies leverage value co-‐creaGon opportuniGes through relaGonships with mulGple investors. Some investors are internaGonal. Timeline analysis of investment events reveals paerns of co-‐investment – an indicaGon of intenGon to co-‐create value and, perhaps, sGmulus programs. IEN Dataset, July 2010
- 47. International Relationships for Value Co-Creation Huge opportunities for international relationships lie 2 3 degrees out from Norwegian companies Example view to IEN dataset for keyword search. Nodes represent companies and their previous and current employees. The network layout is created with Fruchterman Reingold algorithm and nodes are inflated according to their outdegree. Protocols for anonymity are evolving. IEN Dataset, July 2010
- 48. Insights About Norway • Dual offices: regional and Oslo • In sectors we studied – Business locaGons parallel technical university programs – Investor relaGonships have strong local links • Some invesGng organizaGons are governmental programs • Expands to Oslo when offices are in Oslo • InternaGonal relaGonships linked to small set of personal relaGonships at execuGve level – InternaGonal investors drawn through execuGve relaGonships • RelaGonships through execs at Google and AOL provide channels for global network expansion
- 49. Sørlandet is world leading in offshore oil drilling technology Torger Rev, Innovation Ecosystems Summit, Stanford University, July 11, 2011
- 50. Shipping brokers Effective ports and terminals Advanced ship equip- ment Maritime RD Specialized ship yards Maritime education Ship design Maritime IT Ship management Marine insurance Shipping finance Advanced fisheries Environmental standards MariGme policies Offshore oil and gas industry LogisGcs systems MariGme lawyers Ship classificaGon services SHIPPING MariIme: From ship tonnage to mariIme technology and finance Torger Rev, Innovation Ecosystems Summit, Stanford University, July 11, 2011
- 51. SHIPPING Torger Rev, Innovation Ecosystems Summit, Stanford University, July 11, 2011 MariIme: From ship tonnage to mariIme technology and finance
- 52. 52 Skill of the Future = Network OrchestraGon
- 55. FUTURE OF WORK FUTURE OF LEARNING
- 56. “No Rocking Chair for Me!”
- 58. Microsensors Drive Macro Impacts Drone journalism and CiGzen science – or ciGzen sensors hp://www.autodeskresearch.com/projects/biocompevoluGon
- 59. Talk to Me – Singing Chair http://inhabitat.com/nyc/wp-content/blogs.dir/2/files/2011/07/talk-to-me-singing-chair.jpg
- 62. The Nature of Work is Changing • Past – Full-time – Paid for time spent at work – Common location – Stable hierarchies – What how they do their jobs is prescribed – Evaluated by superiors • Future – Decentralized – No particular time or place – Beyond cognitive competencies – Jobs reflect way of life David Bollier, (2011) The Future of Work: What it Means for Individuals, Businesses, Market and Governments,” The Aspen Institute. Human potenGal will be the major agent of economic growth, and how to unleash then leverage that potenGal will be the key quesGon organizaGons will need to answer. Talent is emerging as the new “GOLD”
- 63. CATALYSTS = ENERGY FOR CHANGE • Work-‐Study Programs • Internships-‐Externships • VisiGng Scholars • Visionary Curriculum Assessments • Research SGmuli CollaboraGons • Incubators Accelerators • Network OrganizaGons • SHARED VISION EXPECTATIONS
- 64. RELATIONSHIP CAPITAL = COMMUNITY EDUPRENEURS = PERMISSION TO LEARN COMMUNITY SHARED VISION = TRANSFORMATION BELIEF IN THE UPSIDE LOCAL INGENUITY + WILLINGNESS TO RISK = GLOBAL OPPORTUNITY RULES OF THUMB INCUBATION NOT QUARANTINE
- 67. Event Impact Coalition Shared Vision TransformaGon Measure Track Interact Feedback Co-Create Value Transformative Coalitions Martha G. Russell, Kaisa Still, Jukka Huhtamaki, and Neil Rubens, “Transforming innovation ecosystems through shared vision and network orchestration,” Triple Helix IX Conference, Stanford University, July 13, 2011. Future Learning Lab - Reputation for Innovation
- 68. What Can We Do Together That Neither of Us Could Do Alone? Thank You Martha.Russell@stanford.edu www.innovation-ecosystems.org http://mediax.stanford.edu at S T A N F O R D U N I V E R S I T Y