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Slides for a paper on "Reflecting on Yesterday, Understanding Today, Planning for Tomorrow" presented by Brian Kelly at the Umbrella 2013 conference in Manchester on 2 July 2013.
See http://www.ukoln.ac.uk/web-focus/events/conferences/umbrella-2013/
B1 Predicting developments: Future Technologies and Their Applicationslisbk
Slides for a 1-day workshop on "Future Technologies and Their Applications" facilitated by Brian Kelly and Tony Hirst at the ILI 2013 conference on Monday 14 October 2013.
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
A1 Workshop introduction: Future Technologies and Their Applicationslisbk
Slides for a 1-day workshop on "Future Technologies and Their Applications" facilitated by Brian Kelly and Tony Hirst at the ILI 2013 conference on Monday 14 October 2013.
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
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See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
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It is the next generation in computing and learning convenience. It has been custom built and packaged, keeping in mind the challenges faced by schools and students in the ever evolving, fast-paced literary landscape.
It is an optimised combination of hardware and software built upon proven technologies that our core team has command over for more than 20 man years.
Herein are some of the advantages that the MSS presents to its users:
A1 No knowledge of installing, configuring, or updating Linux required. The teaching process can start immediately in conjunction with the textbook content.
A2 Broadcast lessons to each student's desk. Close monitoring, one-to-one communication and attention to every student's progress is possible.
A3 Extends lifespan of existing systems. Save on power and AMC. Channelise funds to infrastructure and training activities.
A4 Now buy many more end user systems for the same budget. Laboratories can be re-laid to accommodate more machines.
A5 Helps create live copies of the Linux OS and applications to practice the lessons at home and explore Linux completely.
A6 Requires no installation of any additional modules or purchasing custom client hardware from a particular vendor.
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A8 Restore the MSS to its fully functional state with a few button presses without complicated re-installation or re-configuration steps.
A9 No limitations of users who can use the MSS. Delivering high productivity and promoting creativity is the only mission.
A10 Teacher can work in Windows OS and yet simultaneously monitor the students over the Linux environment.
A11 The technologies comprising the product are proven the world across. Recherche team has 20+ man years of open source solutioning expertise.
A12 Internet is rapidly reaching to each corner of the country. MSS is designed to meet the future needs of secure internet access and sharing.
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In this presentation I argue that subcultures are important shapers of startups, based on my Twitter research of a particular startup ecosystem. Using an approach which could be scaled in analysing other startups ecosystems elsewhere in the world. For more details about the ongoing research you can contact me via Twitter @LEriksonas
A1 Workshop introduction: Future Technologies and Their Applicationslisbk
Slides for a 1-day workshop on "Future Technologies and Their Applications" facilitated by Brian Kelly and Tony Hirst at the ILI 2013 conference on Monday 14 October 2013.
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
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Slides for a workshop on "Preparing For The Future: Helping Libraries Respond to Changing Technological, Economic and Political Change" given by Brian Kelly, UKOLN at a staff development workshop at the University of York on 4 July 2013.
See http://www.ukoln.ac.uk/web-focus/events/workshops/york-library-2013/
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A story about a survey research uses crowdsourcing method to collect a large amount of reliable and rich data for project prioritisation and implementation in its smart city initiative. The sharing provides you with steps and modifications of the methodology for your own projects that gain lots of rewards. The gains are lower costs, creative, nimble and replicable design, and flexible and collaborative deployment strategies.
By Beth Massey & Long Pham. Presented at Crowdsourcing Week Global 2016. Learn more and join the next event: www.crowdsourcingweek.com
E1: Scenario Planning: Future Technologies and Their Applicationslisbk
Slides for a 1-day workshop on "Future Technologies and Their Applications" facilitated by Brian Kelly and Tony Hirst at the ILI 2013 conference on Monday 14 October 2013.
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
See http://ukwebfocus.wordpress.com/events/ili-2013-workshop/
Building and Communicating Evidence of Effectiveness in OER through Collectiv...Robert Farrow
Much of the evidence surrounding the use (and re-use) of OER is fragmentary or anecdotal. The OLnet project has developed a software tool for effectively gathering, sharing and judging the evidence around key issues of OER. The Evidence Hub distills key insights from the cloud of discussion and opinion creating a thematically indexed, structured ecosystem of organisations, project, issues, recommendations and evidence for the use of those who form the Open Education movement. In this presentation we explain the key concepts behind the Evidence Hub and some of its possible uses.
Presentation on Connecting Remote Workers given by Marieke Guy, Research Officer, UKOLN at the UCISA Advisory and Support Staff Symposium 2009 (#ucisa-ads09)
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- Remote work policies and preparing equipment for remote staff
- Maintaining organizational culture, boosting morale, and promoting the mental health of staff
- Communication best practices for updating staff on the changing situation
Embedding OER and Open practice at UAL a process.arts case study, HEA Annual ...Chris Follows
Embedding OER and Open practice at the University of the Arts London: Chris Follows
Institutional VLE's and OER repositories are rarely built to support social media content communities, as a result many learning and teaching materials are being independently dispersed across the web using more familiar and user friendly 'social media' environments such as wikis, blogs, independent websites, youtube accounts etc, there is currently no middle ground to facilitate OER content communities. How can OER communities adopt social media tools and practices to help improve and encourage better rich media OER practice?
Key challenges for the rich media reuse community are finding or being directed to the most useful and usable open content. Random google searches will sometimes get you what you want but the content will be more than likely high risk and non-reusable in an OER sense. Finding OER rich media reusable 'gems' in this granular landscape is difficult and random standalone pieces of media content are difficult to assess in regards to reuse, remixing this content even more so.
How do we share and collaborate in this space and overcome the obstacles of use and re-use specifically when creating and designing complex rich media learning content?
Chris will draw from four different perspectives of developing media content communities within practice based Art and Design subjects including SCORE research, http://process.arts.ac.uk ,the DIAL project (digital Integration into arts learning) part of the JISC UK Developing digital literacies programme and ALTO (JISC UK OER programme)
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My sCool Server Brochure - Portrait layoutShrenik Bhura
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Recherche Tech, with its My sCool Server offering aims to usher in a socioeconomic revolution by making computer literacy and therefore digital inclusion affordable and achievable across the social strata.
My sCool Server is a device, primarily for school labs, that makes all computers in the wired network usable and useful instantly.
It is the next generation in computing and learning convenience. It has been custom built and packaged, keeping in mind the challenges faced by schools and students in the ever evolving, fast-paced literary landscape.
It is an optimised combination of hardware and software built upon proven technologies that our core team has command over for more than 20 man years.
Herein are some of the advantages that the MSS presents to its users:
A1 No knowledge of installing, configuring, or updating Linux required. The teaching process can start immediately in conjunction with the textbook content.
A2 Broadcast lessons to each student's desk. Close monitoring, one-to-one communication and attention to every student's progress is possible.
A3 Extends lifespan of existing systems. Save on power and AMC. Channelise funds to infrastructure and training activities.
A4 Now buy many more end user systems for the same budget. Laboratories can be re-laid to accommodate more machines.
A5 Helps create live copies of the Linux OS and applications to practice the lessons at home and explore Linux completely.
A6 Requires no installation of any additional modules or purchasing custom client hardware from a particular vendor.
A7 An integrated platform to host training web-content offline. No internet required to access 5000+ world-class audio-visual resources.
A8 Restore the MSS to its fully functional state with a few button presses without complicated re-installation or re-configuration steps.
A9 No limitations of users who can use the MSS. Delivering high productivity and promoting creativity is the only mission.
A10 Teacher can work in Windows OS and yet simultaneously monitor the students over the Linux environment.
A11 The technologies comprising the product are proven the world across. Recherche team has 20+ man years of open source solutioning expertise.
A12 Internet is rapidly reaching to each corner of the country. MSS is designed to meet the future needs of secure internet access and sharing.
To know more, visit http://www.myscoolserver.com .
In this presentation I argue that subcultures are important shapers of startups, based on my Twitter research of a particular startup ecosystem. Using an approach which could be scaled in analysing other startups ecosystems elsewhere in the world. For more details about the ongoing research you can contact me via Twitter @LEriksonas
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Linas Eriksonas, Social networks of startup entrepreneurs: the case of the startup ecosystem in Lithuania
1. Social networks of startupentrepreneurs:
the case of the startup ecosystem in Lithuania
Dr Linas Eriksonas
International Business School at Vilnius University
Linas.Eriksonas@tvm.vu.lt
2. Content
• Research background and aims
• Hypotheses
• Setup of the experimental study
• Results
• Implications for path-dependence theory
3. Background and aims
• Forbes (June 2015): Vilnius - one of five entrepreneurial hotspots in
Europe (alongside Eindhoven, Budapest, Tallinn and Lisbon):
• “a fertile innovation hotspot for trailblazing entrepreneurs”
• “the proof lies in its burgeoning startup communityin which over 100 million
USD has been invested in recent years”
• Aims of the research (initiated in 2012):
• to explain the factors which have been driving the growth of startup networks
in Lithuania
• to look for conditions that could create a path-dependence for sustaining the
momentum
• to design a research-driven model for a longitudinal tracking of such networks
4. What is a startup?
• A collective of people characterisedby informalarrangments of work,
shared lifestyles,hobbies, values and the ambition to become rich
• you can think of a startup as a way to compress your whole working life into a few
years. Instead of working at a low intensity for forty years, you work as hard as you
possibly can for four. This pays especially well in technology, where you earn a
premium for working fast (Paul Graham, Hackers and Painters, 2004)
• Venture labour or entrepreneurial workers (Neff,2012)
• Graduates, especially from business schools, without adequate possibilities on the
job market (first emerged in 2000-2001, then after 2008-2009) or after a career spell
in the corporate world
• Skilled in management and STEM disciplines, technologically adept
• Well integrated socially through alumni networks
• Their value system informed by different strands of thought originating in subculture
(hackerism, liberatarianism, humanism) characterised by the dream-like ambition to
succeed and change the world while taking execesive risks
5. Hypotheses
• Hypothesis 1: the growth of the startup networks in Lithuania has
been driven by individuals having initial social capital but being
without adequate employment opportunities on the job market
following the financial crisis in 2008-2009.
• Hypothesis 2: the startup networks were largely shaped by the public
and private funds which became available for networking activities
and raising initial funds for pre-seed/seed capital.
• Hypothesis 3: the growth of entrepreneurial networks have been
impacted by the use of social media, mainly Twitter which is one of
the main platforms for global communication among entrepreneurs.
6. Research design
• The main part of the research was carried during three periods in 3 years
(June 2013,October 2014 and September 2015) and consisted of 5 steps:
1. 20 experts have been identified and surveyed (using a respondent-driven
snowballing sampling method) which helped to establish the initial seed list of 51
startups and 28 facilitators for analysis;
2. A consolidated list of startups and facilitators nominated each by more than 25% of
the experts was drawn up and their social media accounts were collected
3. The data from the active Twitter accounts of 21 shortlisted subjects were collected
(using Python scripts): gathered data about over 20000 users having more than
22000 links; the core network analysed included some 1200 individuals.
4. The Twitter data were analysed and visualized with the help of software packages
for social network analysis.
5. In 2015 the analysis was updated which allowed to create the dataset of
longitudinal data and compare it with the initial dataset from 2013.
7. H1: growth of startup networks driven by
demand/supply on the job market
• The biographical analysisbased on Linkedindata and additional
input from publiclyavailablesources showed that >50% of
startup founders were graduateswithout steady jobs.
• The first generationof hackers (2002-2004) was absorbed by the
job market prior to 2008 (joined first IT companies which opened
business in Lithuania - Unity Technologies, Bentley Systems)
• The majority of the early startup founders
started their activitiesafter 2006 havingfew
years behindafter graduation(ca. 26 yrs)
• A typical founder: BA level educationin
management or IT, almost exclusively male,
with varied ethnic backgrounds
8. H2: the startup networks were largely shaped by the
public and private funds and their facilitators
Core Facilitators
Data from October 2014
Core Founders
9. Facilitators at the centre of the network
StartupHighway
acceleration
programme
Hub Vilnius
coworking centre
First startups
(2011-2012)
The acceleration
programme
StartupHighway
(at the co-working
hub at Northtown
technology park)
setup in the
emulationof
Seedcamp London
The first co-working centre in
Vilnius(HubVilnius) was setup
in 2011 in emulationof Riga‘s
TechHub, a franchise of
TechHub London
Data from June 2013
11. Results
• The startup networks have emerged after 2011 and have coincided with
the economic crisis in the country resulting in high levels of youth
unemployment among skilled or semi-skilled graduates and a number of
jobless junior-management level professionals)
• The major role in setting up the networks was played by publicly and
privately supported facilitators and their institutions: the co-working place
and the accelleration programme.
• The patterns were emulated by transfering practices from London
(Seedcamp, Open Coffee Club), via Riga (Riga TechHub) and Tallinn
(Garage48), early links with Helsinki (Arctic Startup).
• Update: (since 2014) direct links to RocketSpace (San Francisco) under
development, the transferred practices back to London (Drinkpreneur Live)
12. Implications for application of path-dependence theory
• The concept of imprinting (Marquis, Tilcsik, 2013):
• nascent research reflects the notion that “a past network, with its
accumulated relational experience, becomes a kind of ‘network memory’
• Despite this recent development, much remains to be learned about network
imprinting and, more generally, the lingering effects of network history
• Two factors can be considered using the longitudinal study:
• Importance of past ties for new knowledge, practices and routines (creating
career advantages)
• Structure of a network sustains the imprint of conditions (new network
entrants are likely to imitate the existing structural patterns)
13. • Average Degree: 1,414
• Modularity: 0,724
• Modularity with resolution: 0,724
• Number of Communities: 11?
• Diameter: 6
• Average Clustering Coefficient*: 0,070
• Average Path length#: 3.336760991859381
• Number of shortest paths: 45367802
Sept.
2015
June
2013
• Average Degree: 1,166
• Modularity: 0,741
• Modularity with resolution: 0,741
• Number of Communities: 12
• Diameter: 8
• Average Clustering Coefficient: 0,019
• Average Path length: 4.180968027664934
• Number of shortest paths: 64889943
14. Imprinting via shared work practices
Hackerspaces
shared
workshop
tools and
work space
Startup incubators:
Team work in a
shared space
Coworking
spaces:
Individual work
places in a
shared work
space
DIY/
Makers
Self-employed
professionals
Hackers
Startup founders
15. Does path-dependence exist in startup networks?
• Hacker collective “demoscena”
in Vilnius, Kaunas (2002)
A hacker collective at GamejamLT 2002: NeARAZ, Oasis,
rtfb, Voblia, ReJ Teaman, ProNinja, OneHalf, simple
Viktoras Jucikas (hacker nickname BigtoP), Rytis
Vitkauskas, founders of Yplan (founded in 2012)
• One of the ex-hackers pitching
startup Yplan in London (2014)
Funding received for Yplan:
$37.7M in 3 Rounds from 16 Investors
16. Paid career job
Work-in-progress: path-dependence model for
analysing startup entrepreneurs longitudinally
• Involvement in
subcultures
Hackers,
DIY/Makers
• Professional
career track
• Entreprenerial
activities
Startup teamChanges in personal
communitynetworks
17. Acknowledgements
• The research was funded by the Research Council of Lithuania (2012-
2014) as part of the group research project on innovation networks
• The access to Twitter data via Twitter API granted for development
purposes by Twitter
• Software used:
• Python scripts for Twitter, courtesy of Dr Derek Ruths, Network Dynamics Lab,
School of Computer Science, McGill University
• Neo4J database, the academic license granted by Neo Technology Inc.
• Gephi, an open source software (licensed by the Gephi Consortium)
• Visone, a free software for academic purposes (University of Konstanz)
18. References
• Eriksonas, L. 2010. Peer Driven Survey Methodology and Indicators
for Policy Relevant Research Competence Assessment [poster
presentation]. European Network of Indicators Designers Indicators
Conference, Paris.
• Eriksonas, L. 2013. The Impact of Time Zone Difference on Social
Networks of Entrepreneurs. Sunbelt 2013 Conference, University of
Hamburg, Hamburg
• L. Eriksonas et al., Inovacinių tinklų kūrimasis Lietuvoje: atvejų studijos
(Innovation networks in Lithuania: case studies) (Vilnius, 2015)