Integration of an e-learning Platform and a Remote Laboratory for the Experim...Federico Lerro
Nowadays, it is more common to use both
systems, a Learning Management System (LMS) and a
remote laboratory, independently. However, we understand
it is highly convenient for the students to have access and
perform real experimental practices in remote laboratories
from a LMS. This integration of both educational resources
constitutes one objective of a project developed by a joint
venture company-university: a technology company (“educativa”)
and a public university (UNR). The project is
based on the addition to the “Virtual Campus LMS”,
developed by “e-ducativa”, of a function that allows the
access and control, via Internet, to the “Remote Laboratory
of Electronic Physics” located in the university
headquarters. Technology is basically a self-communication
protocol that allows exchanging data in a standardized way
between the LMS software and the device control connected
to the remote equipment. The project includes the
implementation of an interface that allows the users of the elearning
platform to have access to it and to future
developments of remote laboratories. In this paper the
authors describe the technical implementation of the project
and provide educational criteria in order to integrate the
new development into the electronic engineering
curriculum.
A review-miml-framework-and-image-annotationEditor IJMTER
This review paper creates a bridge between MIML classification framework and
Image annotation. There are generally four classification frameworks, known as Single
Instance Single Label (SISL), Multi-Instance Learning (MIL), Multi-Label Learning (MLL)
and Multi-Instance Multi-Label Learning (MIML). This paper introduces various
classification frameworks with examples and related algorithms. An annotation is one type of
metadata that can be attached to any video, image (2D/3D), text, audio and other data in the
form of explanation, comments, navigation or presentational markup. This paper briefly
introduces different types of annotation, annotation dataset, techniques and current research
challenges in annotations
Meta-modeling: concepts, tools and applicationsSaïd Assar
Presentation made as a tutorial at the rcis2015 conference in Athens, Greece, on May 13, 2015.
Video recording available online on IEEE Education (http://www.computer.org/web/computingnow/education)
Integration of an e-learning Platform and a Remote Laboratory for the Experim...Federico Lerro
Nowadays, it is more common to use both
systems, a Learning Management System (LMS) and a
remote laboratory, independently. However, we understand
it is highly convenient for the students to have access and
perform real experimental practices in remote laboratories
from a LMS. This integration of both educational resources
constitutes one objective of a project developed by a joint
venture company-university: a technology company (“educativa”)
and a public university (UNR). The project is
based on the addition to the “Virtual Campus LMS”,
developed by “e-ducativa”, of a function that allows the
access and control, via Internet, to the “Remote Laboratory
of Electronic Physics” located in the university
headquarters. Technology is basically a self-communication
protocol that allows exchanging data in a standardized way
between the LMS software and the device control connected
to the remote equipment. The project includes the
implementation of an interface that allows the users of the elearning
platform to have access to it and to future
developments of remote laboratories. In this paper the
authors describe the technical implementation of the project
and provide educational criteria in order to integrate the
new development into the electronic engineering
curriculum.
A review-miml-framework-and-image-annotationEditor IJMTER
This review paper creates a bridge between MIML classification framework and
Image annotation. There are generally four classification frameworks, known as Single
Instance Single Label (SISL), Multi-Instance Learning (MIL), Multi-Label Learning (MLL)
and Multi-Instance Multi-Label Learning (MIML). This paper introduces various
classification frameworks with examples and related algorithms. An annotation is one type of
metadata that can be attached to any video, image (2D/3D), text, audio and other data in the
form of explanation, comments, navigation or presentational markup. This paper briefly
introduces different types of annotation, annotation dataset, techniques and current research
challenges in annotations
Meta-modeling: concepts, tools and applicationsSaïd Assar
Presentation made as a tutorial at the rcis2015 conference in Athens, Greece, on May 13, 2015.
Video recording available online on IEEE Education (http://www.computer.org/web/computingnow/education)
ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEW ijait
Protégé is one of the most popular tools of the ontology visualization. The “Protégé” tools are being applied for further development in various disciplines for better understanding of knowledge. These tools commonly use four methods of ontology visualization, namely, indented list, node-link and tree,
zoomable, and focus+context. The purpose of this work is to present a study on application of these four methods in the development of different kinds of protégé visualization tools and categorize their characteristics and features so that it assists in method selection and promotes further future research in
the area of ontology visualization.
PROPOSAL OF AN HYBRID METHODOLOGY FOR ONTOLOGY DEVELOPMENT BY EXTENDING THE P...ijitcs
W3C’s Semantic Web intents a common framework that allows data to be shared and reused across
application and enterprise. The semantic web and its related technologies are the main directions of
future web development where machine-processable information which supports user tasks. Ontologies are
playing the vital role in Semantic Web. Researches on Ontology engineering had pointed out that an effective
ontology application development methodology with integrated tool support is mandatory for its success. .
Potential benefits are there to ontology engineering in making the toolset of Model Driven Architecture
applicable to ontology modeling. Since Software and Ontology engineering are two complimentary
branches, the scope of extension of the well proven methodologies and UML based modeling approaches
used in software engineering to ontology engineering can bridge the gap between the engineering branches.
This research paper is an attempt to suggest an exclusive hybrid methodology for ontology development from
existing matured software engineering. Philosophical and engineering aspects of the newly derived
methodology have been described clearly An attempt has been made for the application of proposed
methodology with protégé editor. The full-fledged implementation of an domain ontology and its validation
is the future research direction.
This is the presentation of the paper "Learning pulse: a machine learning approach for predicting performance in self-regulated learning using multimodal data" which I delivered at the Learning Analytics and Knowledge conference 2017 in Vancouver, Canada.
http://dl.acm.org/citation.cfm?id=3027447&CFID=912205331&CFTOKEN=43442860
ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEW ijait
Protégé is one of the most popular tools of the ontology visualization. The “Protégé” tools are being applied for further development in various disciplines for better understanding of knowledge. These tools commonly use four methods of ontology visualization, namely, indented list, node-link and tree,
zoomable, and focus+context. The purpose of this work is to present a study on application of these four methods in the development of different kinds of protégé visualization tools and categorize their characteristics and features so that it assists in method selection and promotes further future research in
the area of ontology visualization.
PROPOSAL OF AN HYBRID METHODOLOGY FOR ONTOLOGY DEVELOPMENT BY EXTENDING THE P...ijitcs
W3C’s Semantic Web intents a common framework that allows data to be shared and reused across
application and enterprise. The semantic web and its related technologies are the main directions of
future web development where machine-processable information which supports user tasks. Ontologies are
playing the vital role in Semantic Web. Researches on Ontology engineering had pointed out that an effective
ontology application development methodology with integrated tool support is mandatory for its success. .
Potential benefits are there to ontology engineering in making the toolset of Model Driven Architecture
applicable to ontology modeling. Since Software and Ontology engineering are two complimentary
branches, the scope of extension of the well proven methodologies and UML based modeling approaches
used in software engineering to ontology engineering can bridge the gap between the engineering branches.
This research paper is an attempt to suggest an exclusive hybrid methodology for ontology development from
existing matured software engineering. Philosophical and engineering aspects of the newly derived
methodology have been described clearly An attempt has been made for the application of proposed
methodology with protégé editor. The full-fledged implementation of an domain ontology and its validation
is the future research direction.
This is the presentation of the paper "Learning pulse: a machine learning approach for predicting performance in self-regulated learning using multimodal data" which I delivered at the Learning Analytics and Knowledge conference 2017 in Vancouver, Canada.
http://dl.acm.org/citation.cfm?id=3027447&CFID=912205331&CFTOKEN=43442860
Open Graphical Learning Modeler: Brief intro to the OpenGLM authoring tool for IMS Learning Design
Prepared for Theory and Practice of Design for Learning Workshop @ Online Educa 2011, Berlin, Germany
The Legacy and the Future of Research Networks in Technology-Enhanced LearningRalf Klamma
Ralf Klamma
Orphée Rendevous 2017, Font Romeu, France
Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Dresden, January 22, 2015
las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services.
The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.
Enhancing Academic Event Participation with Context-aware and Social Recommen...Dejan Kovachev
The plethora of talks and presentations taking place at academic conferences makes it difficult, especially for young researchers to attend the
right talks or discuss with participants and potential collaborators with similar interests. Participants may not have a priori knowledge that allows
them to select the right talks or informal interactions with other participants. In this paper we present the context-aware mobile
recommendation services (CAMRS) based on the current context (whereabouts at the venue, popularity and activities of talks and presentations)
sensed at the conference venue. Additionally, we augment the current context with the academic community context of conference participants
which is inferred by using social network analysis and link prediction on large-scale co-authorship and citation networks of participants. By
combining the dynamic and social context of participants, we are able to recommend talks and people that may be interesting to a particular
participant. We evaluated CAMRS using data from two large digital libraries - the DBLP and CiteSeerX, and participants from two conferences -
ICWL 2010 and EC-TEL 2011. The result shows that the new approach can recommend novel talks and helps participants in establishing new
connections at conference venue.
Learning Analytics for the Lifelong Long Tail LearnerRalf Klamma
Learning Analytics for the Lifelong Long Tail Learner
Ralf Klamma
RWTH Aachen University
Informatik 5 (DBIS)
CELSTEC, Heerlen, The Netherlands
February 24, 2011
NetLearn: Social Network Analysis and Visualizations for LearningMohamed Amine Chatti
The most valuable and innovative knowledge is hard to find,
and it lies within distributed communities and networks. Locating the
right community or person who can provide us with exactly the knowledge
that we need and who can help us solve exactly the problems that
we come upon, can be an ecient way to learn forward. In this paper, we
present the details of NetLearn; a service that acts as a knowledge lter
for learning. The primary aim of NetLearn is to leverage social network
analysis and visualization techniques to help learners mine communities
and locate experts that can populate their personal learning environments.
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
Technical Challenges for Realizing Learning Analytics
Learntec 2015, January 28, 2015, Karlsruhe, Germany,
Ralf Klamma
Advanced Community Informations Systems (ACIS) Group
RWTH Aachen University
Gamification of Community Information SystemsRalf Klamma
SAGE Dissemination Workshop, Sousse, Tunesia, April 2017
Ralf Klamma, Mohammad Abduh Arifin
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Learning Analytics at Large: the Lifelong Learning Network of 160, 000 Europe...Ralf Klamma
Ergang Song, Zinayida Petrushyna, Yiwei Cao, and Ralf Klamma
Information Systems and Databases, RWTH Aachen University
EC-TEL 2011
Palermo, Italy
September 23, 2011
The LTCI* is a laboratory of Télécom ParisTech (Institut Mines-Télécom, IMT). Established in 1982, LTCI is characterized by its broad coverage of the field of information and communication science and technology (ICT). Its research activities range from the hardware layer (electronics, opto-electronics, system on chip, antennae, microwaves…) to the software layer (systems, algorithms, protocols…). They encompass studies on different kinds of data (audio, video, images, semi-structured data and web content) as well as works on network performance and services, or quantum cryptography issues.
Augmented Reality (AR) is on the way to establishing itself in business and teaching once more. However, there is a lack of uniform guidelines or even standards both in the creation of teaching materials and in the use of AR in teaching. In addition, the industry needs enough well-trained specialists who can implement the established AR concepts, making a transfer from university to industry necessary. Therefore, in this talk we address both challenges in teaching with AR and the special needs of teaching about AR.
As teaching with AR will surely advance human performance and also brings in new perspectives with the communication, coordination and collaboration of AR in supporting human performance. As computer scientists, we have a European, interdisciplinary and application-oriented perspective, as our experience comes from several funded European projects in these areas. We also incorporate new incentives into teaching contexts in our framework, such as gamification, learning analytics and experience capturing. In addition, we refer to international standardization efforts such as IEEE ARLEM.
Teaching about AR adopts a multi-perspective view. First, there is scientific and technological basic knowledge helping to understand the underlying physical and technical principles. Second, there is engineering and design knowledge to master the creation, fabrication, and utilization of AR in many ways. Third, there is the necessary pedagogical knowledge to transform these complex settings in manageable teaching scenarios and processes, e.g. for higher education curricula.
Here, teaching AR can learn from traditions of science and engineering education as well as from more recent knowledge about computer science education. Examples from recent and on-going European projects will illustrate the argumentation.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
The European TEL Projects Community from a Social Network Analysis Perspective
1. 7th European Conference on
Technology Enhanced Learning (EC-TEL 2012)
September 18-21, 2012
Saarbrücken, Germany
The European TEL Projects
Community from a Social Network
Analysis Perspective
Michael Derntl and Ralf Klamma
RWTH Aachen University
Advanced Community Information Systems (ACIS)
Aachen, Germany
derntl@dbis.rwth-aachen.de
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1 These slides are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
2. Motivation
Collaborative projects are key in the R&D value
chain
– Cost a lot of (tax payers’) money
– Drive research agenda and scientific community building
– scientific events (e.g. EC-TEL, summer school)
– researcher mobility, seed projects, R&D teams, associate
partnerships, etc.
– conducting, reporting, and disseminating research
– product development and knowledge transfer
Stakeholders have an interest in the collaboration
structures of their scientific community
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
– Key organizations, key projects, trends
2
3. Research Objectives
Identify characteristics of the social network of funded
R&D collaborations
– Organizational collaboration
– Project relationships
– Central organizations and projects
Analyze impact of projects on the collaboration
landscape
– Conceive impact measure
– Find network parameters that may indicate impact
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
3
4. Related Work
Several papers on collaboration networks in FP1-6 [2,
3, 4] with both one-mode and two-node networks
Community detection in collaboration networks [6, 7,
8], e.g. location, topics, org. type
Analysis of multimodal networks of NoEs (e.g. in
STELLAR) [1]
Findings
– complex scale-free networks; small diameter, high
clustering
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
– “oligarchic core” of organizations [5]
4
5. Data set: Project timeline
9
# Started Projects
8
7
6
5
4
3
2
1
0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
eTEN (39) – eLearning
FP6 (32) – TEL
eContentplus (19) – Educ.
Lehrstuhl Informatik 5
(Information Systems) FP7 (26) – TEL
Prof. Dr. M. Jarke
5
6. Data set: Project timeline
116 projects
9 350
# Started Projects
EC Funding (Million Euro)
829 organizations
8
300
17progamme: 81% 250
26progammes: 14%
5 200
3 programmes: 4%
4 150
All programmes: 1% -- IMC, Open U,
3
WU Wien, KU Leuven, U Hannover, 100
U2Duisburg-Essen, Giunti 50
1
0 0
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
eTEN (39) – eLearning
FP6 (32) – TEL
eContentplus (19) – Educ.
Lehrstuhl Informatik 5
(Information Systems) FP7 (26) – TEL
Prof. Dr. M. Jarke
6
7. Projects as Social Networks
Projects Organizations [4]
Project consortium progression
– Nodes: Projects ROLE
IMC, RWTH,
OU, ZSI
– Edges: Overlap of consortia TEL-Map
(directed, weighted)
Organizational collaboration
The Open STELLAR, EUROGENE,
– Nodes: Organizations University ROLE, PROLEARN,
iCOPER, ASPECT
– Edges: Collaboration in multiple KU
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
projects (undirected, weighted) Leuven
7
8. Consortium Progression –
Project Network
Edge between project P1 and P2
– P2 started at least t time units after P1
– At least k overlapping partners in the consortia
– Edge direction: P1 P2
– Edge weight: function of overlap
Thresholds that filter for continued collaboration in
successive projects?
k=2
t = 3 months
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
8
9. Consortium
Progression
k = 2, m = 3 months
Nodes 85
Edges 257
Diameter 4
Clustering coeff. 0.2
Avg. degree 6.05
Avg. weighted degree 16.9
Avg. path length 1.78
Node size proportional to
weighted degree
Node color represents
cluster [10]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
9
10. Consortium
Progression
k = 2, m = 3 months
Nodes 85
Edges 257
Diameter 4
Clustering coeff. 0.2
Avg. degree 6.05
Avg. weighted degree 16.9
Avg. path length 1.78
Node size proportional to
weighted degree
Node color represents
cluster [10]
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
10
11. Project Impact on the Landscape
Measure impact of project consortium members on
sustaining and shaping the social TEL project ties after
the project start relative to opportunity.
,
∩
Impact ∙ Cumulative fraction
, of successor projects
∈ filled up with p's
Successor projects
relative to opportunity members
,
projects starting t time units after p and having at least k
partners overlap with p
all potential successor projects of p after t time units
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
consortium members of p
11
12. Top 15 Projects by Impact
Filters
• Started at least 1y
before most recent
project batch (10/2010)
• Top 15
6 FP6, 3 FP7,
3 ECP, 2 eTEN
Top instruments:
6 STREP,
3 NoE,
2 BPN
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
12
13. Correlations
Impact correlates positively with Pearson correlation *p < .1 **p < .05 ***p < .01
– Funding**, Consortium size***
– Betweenness centrality*** , (Weighted) in-degree** by size*
No correlation with PageRank, authority, hub, closeness
centrality, clustering coefficient
Promising (running or ended in last 12 months):
Funding m€ ▼wdin wdin/C
OpenDiscoverySpace 7.65 74 (26) 1.45
GALA 5.65 55 (20) 1.77
OpenScout 2.80 52 (17) 2.89
STELLAR 4.99 41 (14) 2.56
ROLE 6.60 35 (12) 2.19
Lehrstuhl Informatik 5
TEL-Map 2.13 31 (10) 3.10
(Information Systems)
Prof. Dr. M. Jarke iTEC 9.45 20 (5) 0.75
13
14. Organizational Collaboration
Collaboration is the fertile soil for R&D output in CPs
Follow-up proposals / projects
Shapes the research agenda
Graph:
– Edge between O1 and O2 if both participated in at least
one project
The Open STELLAR, EUROGENE,
– Weight: number of projects University ROLE, PROLEARN,
iCOPER, ASPECT
– Direction: none KU
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke – Nodes: organizations Leuven
14
23. Summary
Networks
– Collaboration: low diameter, high clustering
– Projects: low diameter, low clustering
– Small “oligarchic core” of frequent collaborators
– In line with previous research in FP1-6
Impact measure to account for time/size
– Correlates with in-degree, funding, betweenness centrality
– Networks (NoE and BPN) occupy 5 of top 8 spots
– Projects to follow: ODS, GALA, iTEC, ROLE, TEL-Map, …
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
23
Explore data on learningfrontiers.eu
24. Limitations
Collaboration ties rest on people, not organizations
– EC deals with legal entities
– Partners deal with people
– People move on, legal entities merge and rebrand, etc.
Consortium overlaps may be random
Edges don’t fade over time, connections do
Data set
– Selection of programmes; LLP missing
– What is a “TEL related call”?
Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
24
– Missing associate memberships, seed projects, etc.
25. References
1. Voigt, C. (ed.): Deliverable D7.5, STELLAR Nework of Excellence (2011)
2. Barber, M., Krueger, A., Krueger, T., Roediger-Schluga, T.: Network of European Union–funded collaborative
research and development projects. Physical Review E 73 (2006)
3. Roediger-Schluga, T., Barber, M.J.: R&D collaboration networks in the European Framework Programmes: data
processing, network construction and selected results. International Journal of Foresight and Innovation Policy
4(3/4), 321–347 (2008)
4. Frachisse, D., Billand, P., Massard, N.: The Sixth Framework Program as an Affiliation Network: Representation
and Analysis (2008), http://ssrn.com/abstract=1117966
5. Breschi, S., Cusmano, L.: Unveiling the texture of a European Research Area: emergence of oligarchic networks
under EU Framework Programmes. International Journal of Technology Management 27(8), 747–772 (2004)
6. Lozano, S., Duch, J., Arenas, A.: Analysis of large social datasets by community detection. The European Physical
Journal Special Topics 143(1), 257–259 (2007)
7. Scherngell, T., Barber, M.J.: Spatial interaction modelling of cross-region R&D collaborations: empirical evidence
from the 5th EU framework programme. Papers in Regional Science 88(3), 531–546 (2009)
8. Roediger-Schluga, T., Dachs, B.: Does technology affect network structure? – A quantitative analysis of
collaborative research projects in two specific EU programmes. UNU-MERIT Working Paper Series 041 (2006)
9. Derntl, M., Erdtmann, S., Klamma, R.: An Embeddable Dashboard for Widget-Based Visual Analytics on Scientific
Communities. In: I-KNOW 2012. ACM (2012)
10. Blondel, V. D., Guillaume, J., Lambiotte, R., Lefevre, E.: Fast unfolding of communities in large networks. Journal of
Lehrstuhl Informatik 5 Statistical Mechanics: Theory and Experiment 2008 (10)
(Information Systems)
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