Activating Research Collaboratories with Collaboration PatternsCommunitySense
Â
This presentation explains how collaborative communities require evolving socio-technical systems. Collaboration patterns are important to design these systems and capture lessons learnt. The role of librarians as collaboration pattern stewards and collaborative working system architects is outlined.
The Pragmatic Evaluation of Tool System InteroperabilityCommunitySense
Â
A. de Moor (2007). The Pragmatic Evaluation of Tool System Interoperability (invited paper). In Proc. of the 2nd ICCS Conceptual Structures Tool Interoperability Workshop (CS-TIW 2007), Sheffield, UK, July 22, 2007. Research Press International, Bristol, UK, pp.1-19.
COLLABORA: A COLLABORATIVE ARCHITECTURE FOR EVALUATING INDIVIDUALS PARTICIPAT...ijseajournal
Â
The execution of collaborative activities enables interaction among its participants, however, the real
problem is to evaluate how much each subject contributed in the development of the activity. The
evaluation process allows to inform important aspects about the individual or the group, such as:
reliability, interdependence, flexibility, commitment, interpersonal relationship, productivity and
management strategies. This work proposes is based in domain based architecture and computer-supported
collaborative learning (CSCL) in order to measure individual and group contributions to the
accomplishment of its activities. The evaluation of the collaboration is made in a semi-automated way
using as criteria measures of collaboration present in the literature like counting the amount of meaningful
and valid words in conversations, which allows to evaluate its commitment. After the activity finalizes, a
collaboration score is given to the participant of the group. The proposed architecture was implemented in
the education domain. In addition to generate a set of exercises to the studied subject, the architecture
helped to provide statistic data related to the collaboration assessment among the peers during the
development of collaborative activities.
Optimizing Social Software Design with Conceptual GraphsCommunitySense
Â
Collaborative communities are complex and rapidly evolving socio-technical systems. The design of these systems includes the communal specification of communication and information requirements, as well as the selection, configuration, and linking of the software tools that best satisfy these requirements. Supporting the effective and efficient community-driven design of such complex and dynamic systems is not trivial.
To represent and reason about the system design specifications we use conceptual graph theory. We do so because the knowledge representation language of choice must be rich enough to allow the efficient expression of complex definitions. Also, since design specifications derive from complex real world domains and community members themselves are actively involved in specification processes, a close mapping of knowledge definitions to natural language expressions and vice versa is useful. Finally, the representation language must be sufficiently formal and constrained for powerful knowledge operations to
be constructed. Conceptual graph theory has all of these properties.
We explore how conceptual graphs can be used to:
1. model the core elements of such socio-technical systems and their design processes.
2. specify communication and information requirements and match these with social software functionalities.
We illustrate these design processes with examples from a realistic scenario on building a knowledge-driven topic community on climate change.
An Sna-Bi Based System for Evaluating Virtual Teams: A Software Development P...ijcsit
Â
The dependence of today's collaborative projects on knowledge acquisition and information dissemination
emphasizes the importance of minimizing communication breakdowns. However, as organizations are
increasingly relying on virtual teams to deliver better and faster results, communication issues come to the
forefront of project managers' concerns. This is particularly palpable in software development projects
which are increasingly virtual and knowledge-consuming as they require continuous generation and
upgrade of shared information and knowledge. In a previous work, we proposed an SNA-BI based system
(Covirtsys) that supplements the Analytics modules of the collaborative platform in order to offer a
complementary analysis of communication flows through a network perspective. This paper concerns the
application of this system on a software development project virtual team and shows how it can bring new
insights that could help overcome communication issues among team members.
Activating Research Collaboratories with Collaboration PatternsCommunitySense
Â
This presentation explains how collaborative communities require evolving socio-technical systems. Collaboration patterns are important to design these systems and capture lessons learnt. The role of librarians as collaboration pattern stewards and collaborative working system architects is outlined.
The Pragmatic Evaluation of Tool System InteroperabilityCommunitySense
Â
A. de Moor (2007). The Pragmatic Evaluation of Tool System Interoperability (invited paper). In Proc. of the 2nd ICCS Conceptual Structures Tool Interoperability Workshop (CS-TIW 2007), Sheffield, UK, July 22, 2007. Research Press International, Bristol, UK, pp.1-19.
COLLABORA: A COLLABORATIVE ARCHITECTURE FOR EVALUATING INDIVIDUALS PARTICIPAT...ijseajournal
Â
The execution of collaborative activities enables interaction among its participants, however, the real
problem is to evaluate how much each subject contributed in the development of the activity. The
evaluation process allows to inform important aspects about the individual or the group, such as:
reliability, interdependence, flexibility, commitment, interpersonal relationship, productivity and
management strategies. This work proposes is based in domain based architecture and computer-supported
collaborative learning (CSCL) in order to measure individual and group contributions to the
accomplishment of its activities. The evaluation of the collaboration is made in a semi-automated way
using as criteria measures of collaboration present in the literature like counting the amount of meaningful
and valid words in conversations, which allows to evaluate its commitment. After the activity finalizes, a
collaboration score is given to the participant of the group. The proposed architecture was implemented in
the education domain. In addition to generate a set of exercises to the studied subject, the architecture
helped to provide statistic data related to the collaboration assessment among the peers during the
development of collaborative activities.
Optimizing Social Software Design with Conceptual GraphsCommunitySense
Â
Collaborative communities are complex and rapidly evolving socio-technical systems. The design of these systems includes the communal specification of communication and information requirements, as well as the selection, configuration, and linking of the software tools that best satisfy these requirements. Supporting the effective and efficient community-driven design of such complex and dynamic systems is not trivial.
To represent and reason about the system design specifications we use conceptual graph theory. We do so because the knowledge representation language of choice must be rich enough to allow the efficient expression of complex definitions. Also, since design specifications derive from complex real world domains and community members themselves are actively involved in specification processes, a close mapping of knowledge definitions to natural language expressions and vice versa is useful. Finally, the representation language must be sufficiently formal and constrained for powerful knowledge operations to
be constructed. Conceptual graph theory has all of these properties.
We explore how conceptual graphs can be used to:
1. model the core elements of such socio-technical systems and their design processes.
2. specify communication and information requirements and match these with social software functionalities.
We illustrate these design processes with examples from a realistic scenario on building a knowledge-driven topic community on climate change.
An Sna-Bi Based System for Evaluating Virtual Teams: A Software Development P...ijcsit
Â
The dependence of today's collaborative projects on knowledge acquisition and information dissemination
emphasizes the importance of minimizing communication breakdowns. However, as organizations are
increasingly relying on virtual teams to deliver better and faster results, communication issues come to the
forefront of project managers' concerns. This is particularly palpable in software development projects
which are increasingly virtual and knowledge-consuming as they require continuous generation and
upgrade of shared information and knowledge. In a previous work, we proposed an SNA-BI based system
(Covirtsys) that supplements the Analytics modules of the collaborative platform in order to offer a
complementary analysis of communication flows through a network perspective. This paper concerns the
application of this system on a software development project virtual team and shows how it can bring new
insights that could help overcome communication issues among team members.
This is the presentation of the Juan Cruz-Benitoâs PhD âOn data-driven systems analyzing, supporting and enhancing usersâ interaction and experienceâ that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification âSobresaliente Cum Laudeâ.
Two Brains are Better than One: User Control in Adaptive Information AccessPeter Brusilovsky
Â
In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas where they directly affect the lives of many people. AI-based approaches advise human decision-makers who should be released on bail, whether it is a good time to discharge a patient from a hospital and whether a specific student is at risk to fail a course. Such an extensive use in AI in decision making came with a range of protentional problems that have been extensively studied over the last few years. Recognition of these problems motivated a rapid rise of research on âhuman-centered AIâ, which attempted to address and minimize the negative effects of using AI technologies. Among the ideas of human-centered AI is user control - engaging users in affecting AI decision making to prevent possible errors and biases. In my talk, I will focus on the application of user control in one popular area of AI application, adaptive information access. Adaptive information access systems such as personalized search and recommender systems attempt to model their users to help them in finding the most relevant information. Yet, user modeling and personalization mechanisms might not always work as expected resulting in errors, biases, and suboptimal behavior. Combining the decision power or AI with the ability of the user to guide and control it brings together the strong sides of artificial and human intelligence and could lead to better results. In my talk, I review several projects focused on user control in adaptive information access systems and discuss the benefits and challenges of this approach.
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification scheme to improve the system information architecture.
A great amount of research in the IR domain mostly dealt with both the design of enhanced document ranking models allowing search improvement through user-to-system collaboration.
However, in addition to user-to-system form of collaboration, user-to-user collaboration is increasingly acknowledged as an effective mean for gathering the complementary skills and/or knowledge of individual users in order to solve complex search tasks.This tutorial will first give an overview of the ways into collaboration has been implemented in IR models with the attempt of improving the search outcomes with respect to several tasks and related frameworks (ad-hoc search, group-based recommendation, social search, collaborative search). Second, as envisioned in collaborative IR domain (CIR), we will focus on the theoretical models that support and drive user-to-user collaboration in order to perform shared IR tasks. Third, we will develop a road map on emerging and relevant topics addressing issues related to collaboration design. Our goal is to provide participants with concepts and motivation allowing them to investigate this emerging IR domain as well as giving them some clues on how to tackle issues related to the optimization of collaborative tasks. More specifically, the tutorial aims to:
1. Give an overview of the key concept of collaboration in IR and related research topics;
2. Present state-of-the art CIR techniques and models;
3. Discuss about the emerging topics that deal with collaboration;
4. Point out some challenges ahead.
Previous studies on the practice of asking questions on social networking sites have shown that most questions remain unanswered and that most of the replies, if any, are only from members of the questioner's neighborhood.
In this paper, we specifically consider the challenging task of solving a question posted on Twitter. The latter generally remains unanswered and most of the replies, if any, are only from members of the questioner's neighborhood. As outlined in previous work related to community Q\&A, we believe that question-answering is a collaborative process and that the relevant answer to a question post is an aggregation of answer nuggets posted by a group of relevant users. Thus, the problem of identifying the relevant answer turns into the problem of identifying the right group of users who would provide useful answers and would possibly be willing to collaborate together in the long-term. Accordingly, we present a novel method, called CRAQ, that is built on the collaboration paradigm and formulated as a group entropy optimization problem. To optimize the quality of the group, an information gain measure is used to select the most likely ``informative" users according to topical and collaboration likelihood predictive features. Crowd-based experiments performed on two crisis-related Twitter datasets demonstrate the effectiveness of our collaborative-based answering approach.
On the Social Dimensions of Architectural Decisions Henry Muccini
Â
An architecture is recognised to be the output of a (group) design decision process. This process typically involves multiple stakeholders composed into a group with a socio-technical connotation.
From a group decision making perspective, the various stakeholders involved in a design decision process analyze a given problem, propose alternate solutions, indicate their preferred alternative, and arrive at a consensus on the best possible solution. From an organisational and social perspective, the various stakeholders involved in a decision process form an organisational social structure (OSS).
These structures have a significant impact on project success.
In this work, we explore the overlaps and interconnections between group decision-making dynamics and the corresponding social and organisational dimensions, in
the context of architectural knowledge management. We use a meta-model to illustrate these overlaps and interconnections.
Iui2015: Personalized Search: Reconsidering the Value of Open User ModelsPeter Brusilovsky
Â
IUI 2015 talk slides: Ahn, J., Brusilovsky, P., and Han, S. (2015) Personalized Search: Reconsidering the Value of Open User Models. In: Proceedings of Proceedings of the 20th International Conference on Intelligent User Interfaces, Atlanta, Georgia, USA, ACM, pp. 202-212
E-Learning Social Network Analysis for Social Awareness by Niki LambropoulosNiki Lambropoulos PhD
Â
E-Learning Social Network Analysis for Social Awareness by Niki Lambropoulos
Presentation delivered at the Images of Virtuality Conference
Athens, 23-24 April, 2009
http://www.imagesofvirtuality.org/
OLC Research Summit - Part 2: Meet The DETA Research Tanya Joosten
Â
SUMMIT
OLC Research Summit - Part 2: Meet The DETA Research Toolkit 2.0
Date: Tuesday, November 17th
Time: 3:30 PM to 4:15 PM
Conference Session: Concurrent Session 7
Session Modality: Virtual
Lead Presenter: Tanya Joosten (National Research Center for Distance Education and Technological Advancements (DETA) and the University of Wisconsin-Milwaukee)
Track: Research, Evaluation, and Learning Analytics
Location: Zoom Room 1
Session Duration: 45min
Brief Abstract:
This session will spotlight The National Research Center for Distance Education and Technological Advancements (DETA) Research Toolkit, a resource to support research conducted at the course, program, institutional, or cross-institutional levels.
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshopPeter Brusilovsky
Â
Abstract: In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas directly affecting the lives of millions. AI-based approaches advise human decision-makers who should be released on bail, whether it is a good time to discharge a patient from a hospital and whether a specific student is at risk to fail a course. Such extensive use in AI in decision making came with a range of protentional problems that have been extensively studied over the last few years. Recognition of these problems motivated a rapid rise of research on âhuman-centered AIâ, which attempted to address and minimize the negative effects of using AI technologies. The majority of work on human-centered AI focus on various types of Human-AI collaboration through such technologies as transparency, explainability, and user control. In my talk, I will review how the ideas of Human-AI collaboration, transparency, explainability, and user control have been used in educational applications of AI in the past and will discuss now new ideas in this research area developed outside of AI-Ed could be creatively applied in educational context.
Information visualization of Twitter data for co-organizing conferencesJari Jussila
Â
Information visualization of Twitter data for co-organizing conferences, introducing CMAD2013 case, presentation in Mindtrek conference, 3 October 2013, Tampere, Finland. Co-authors: Jukka HuhtamĂ€ki, Hannu KĂ€rkkĂ€inen and Kaisa Still. Joint research publication of two Tekes â the Finnish Funding Agency for Technology and Innovation â projects: SOILA (Innovative value creation and business models of social media in B2B networks) and REINO (Relational Capital for Innovative Growth Companies).
This is the presentation of the Juan Cruz-Benitoâs PhD âOn data-driven systems analyzing, supporting and enhancing usersâ interaction and experienceâ that was defended on September 3rd, 2018 in the Faculty of Sciences at University of Salamanca Spain. This PhD was graded with the maximum qualification âSobresaliente Cum Laudeâ.
Two Brains are Better than One: User Control in Adaptive Information AccessPeter Brusilovsky
Â
In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas where they directly affect the lives of many people. AI-based approaches advise human decision-makers who should be released on bail, whether it is a good time to discharge a patient from a hospital and whether a specific student is at risk to fail a course. Such an extensive use in AI in decision making came with a range of protentional problems that have been extensively studied over the last few years. Recognition of these problems motivated a rapid rise of research on âhuman-centered AIâ, which attempted to address and minimize the negative effects of using AI technologies. Among the ideas of human-centered AI is user control - engaging users in affecting AI decision making to prevent possible errors and biases. In my talk, I will focus on the application of user control in one popular area of AI application, adaptive information access. Adaptive information access systems such as personalized search and recommender systems attempt to model their users to help them in finding the most relevant information. Yet, user modeling and personalization mechanisms might not always work as expected resulting in errors, biases, and suboptimal behavior. Combining the decision power or AI with the ability of the user to guide and control it brings together the strong sides of artificial and human intelligence and could lead to better results. In my talk, I review several projects focused on user control in adaptive information access systems and discuss the benefits and challenges of this approach.
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification scheme to improve the system information architecture.
A great amount of research in the IR domain mostly dealt with both the design of enhanced document ranking models allowing search improvement through user-to-system collaboration.
However, in addition to user-to-system form of collaboration, user-to-user collaboration is increasingly acknowledged as an effective mean for gathering the complementary skills and/or knowledge of individual users in order to solve complex search tasks.This tutorial will first give an overview of the ways into collaboration has been implemented in IR models with the attempt of improving the search outcomes with respect to several tasks and related frameworks (ad-hoc search, group-based recommendation, social search, collaborative search). Second, as envisioned in collaborative IR domain (CIR), we will focus on the theoretical models that support and drive user-to-user collaboration in order to perform shared IR tasks. Third, we will develop a road map on emerging and relevant topics addressing issues related to collaboration design. Our goal is to provide participants with concepts and motivation allowing them to investigate this emerging IR domain as well as giving them some clues on how to tackle issues related to the optimization of collaborative tasks. More specifically, the tutorial aims to:
1. Give an overview of the key concept of collaboration in IR and related research topics;
2. Present state-of-the art CIR techniques and models;
3. Discuss about the emerging topics that deal with collaboration;
4. Point out some challenges ahead.
Previous studies on the practice of asking questions on social networking sites have shown that most questions remain unanswered and that most of the replies, if any, are only from members of the questioner's neighborhood.
In this paper, we specifically consider the challenging task of solving a question posted on Twitter. The latter generally remains unanswered and most of the replies, if any, are only from members of the questioner's neighborhood. As outlined in previous work related to community Q\&A, we believe that question-answering is a collaborative process and that the relevant answer to a question post is an aggregation of answer nuggets posted by a group of relevant users. Thus, the problem of identifying the relevant answer turns into the problem of identifying the right group of users who would provide useful answers and would possibly be willing to collaborate together in the long-term. Accordingly, we present a novel method, called CRAQ, that is built on the collaboration paradigm and formulated as a group entropy optimization problem. To optimize the quality of the group, an information gain measure is used to select the most likely ``informative" users according to topical and collaboration likelihood predictive features. Crowd-based experiments performed on two crisis-related Twitter datasets demonstrate the effectiveness of our collaborative-based answering approach.
On the Social Dimensions of Architectural Decisions Henry Muccini
Â
An architecture is recognised to be the output of a (group) design decision process. This process typically involves multiple stakeholders composed into a group with a socio-technical connotation.
From a group decision making perspective, the various stakeholders involved in a design decision process analyze a given problem, propose alternate solutions, indicate their preferred alternative, and arrive at a consensus on the best possible solution. From an organisational and social perspective, the various stakeholders involved in a decision process form an organisational social structure (OSS).
These structures have a significant impact on project success.
In this work, we explore the overlaps and interconnections between group decision-making dynamics and the corresponding social and organisational dimensions, in
the context of architectural knowledge management. We use a meta-model to illustrate these overlaps and interconnections.
Iui2015: Personalized Search: Reconsidering the Value of Open User ModelsPeter Brusilovsky
Â
IUI 2015 talk slides: Ahn, J., Brusilovsky, P., and Han, S. (2015) Personalized Search: Reconsidering the Value of Open User Models. In: Proceedings of Proceedings of the 20th International Conference on Intelligent User Interfaces, Atlanta, Georgia, USA, ACM, pp. 202-212
E-Learning Social Network Analysis for Social Awareness by Niki LambropoulosNiki Lambropoulos PhD
Â
E-Learning Social Network Analysis for Social Awareness by Niki Lambropoulos
Presentation delivered at the Images of Virtuality Conference
Athens, 23-24 April, 2009
http://www.imagesofvirtuality.org/
OLC Research Summit - Part 2: Meet The DETA Research Tanya Joosten
Â
SUMMIT
OLC Research Summit - Part 2: Meet The DETA Research Toolkit 2.0
Date: Tuesday, November 17th
Time: 3:30 PM to 4:15 PM
Conference Session: Concurrent Session 7
Session Modality: Virtual
Lead Presenter: Tanya Joosten (National Research Center for Distance Education and Technological Advancements (DETA) and the University of Wisconsin-Milwaukee)
Track: Research, Evaluation, and Learning Analytics
Location: Zoom Room 1
Session Duration: 45min
Brief Abstract:
This session will spotlight The National Research Center for Distance Education and Technological Advancements (DETA) Research Toolkit, a resource to support research conducted at the course, program, institutional, or cross-institutional levels.
Human-Centered AI in AI-ED - Keynote at AAAI 2022 AI for Education workshopPeter Brusilovsky
Â
Abstract: In recent years, the use of Artificial Intelligence (AI) technologies expanded to many areas directly affecting the lives of millions. AI-based approaches advise human decision-makers who should be released on bail, whether it is a good time to discharge a patient from a hospital and whether a specific student is at risk to fail a course. Such extensive use in AI in decision making came with a range of protentional problems that have been extensively studied over the last few years. Recognition of these problems motivated a rapid rise of research on âhuman-centered AIâ, which attempted to address and minimize the negative effects of using AI technologies. The majority of work on human-centered AI focus on various types of Human-AI collaboration through such technologies as transparency, explainability, and user control. In my talk, I will review how the ideas of Human-AI collaboration, transparency, explainability, and user control have been used in educational applications of AI in the past and will discuss now new ideas in this research area developed outside of AI-Ed could be creatively applied in educational context.
Information visualization of Twitter data for co-organizing conferencesJari Jussila
Â
Information visualization of Twitter data for co-organizing conferences, introducing CMAD2013 case, presentation in Mindtrek conference, 3 October 2013, Tampere, Finland. Co-authors: Jukka HuhtamĂ€ki, Hannu KĂ€rkkĂ€inen and Kaisa Still. Joint research publication of two Tekes â the Finnish Funding Agency for Technology and Innovation â projects: SOILA (Innovative value creation and business models of social media in B2B networks) and REINO (Relational Capital for Innovative Growth Companies).
How does "Plone happen"? This presentation explores the way the community produces the open source Plone content management system as well as inspiring ideas from other communities that could allow Plone to involve more diverse participants in its creation.
Project Urban Prototyping, Workshop II Collaborative Planning and Design, Nov...Oesha Thakoerdin
Â
Within the Project Urban Prototyping a series of 4 workshops were organised. In Workshop II Collaborative Planning and Design international experts are invited to discuss the possibilities of and experiences with digitally supported approaches of collaborative planning and design of climate smart urban areas.
Almost all software development activities require collaboration, and model-based software development is no exception. In modern model-based development collaboration comes in two levels. We start from collaborative language creation (aka metamodeling) and describe the benefits it can provide and then do the same for collaborative language use (aka modeling). We conclude by inspecting how the collaboration enables scalability in terms of multiple engineers, multiple languages, large models, and transformations.
Ch7 Social interaction in collaborative vs. assisted playing begonapino.comBegoña Pino
Â
Social interaction in collaborative vs. assisted playing - Research study - Pino, B. (2006) "Computers as an environment for facilitating social interaction in children with autistic spectrum disorders". PhD Thesis, University of Edinburgh, UK
COLLABORATIVE DESIGN OF SCAFFOLDING TOOLS FOR HIGH ENROLLMENT UNDERGRADUATE C...Em Jones
Â
A Thesis
Presented in Partial Fulfillment of the Requirements for
the Degree Master of Arts in the
Graduate School of The Ohio State University
By
Emily Lynn Jones, B.A.
Global Redirective Practices: an online workshop for a clientSean Connolly
Â
This slidedeck is an exhaustive report consisting of research in sociological literature, user research in focus groups, competitive analysis of similar tools, and, designing for a client with no money and no technical ability.
[Because this was a presentation, much of the information is supplied by the presenter. Critical information of the presentation has been added to the slide deck as 'Notes:']
The challenges posed by the complexity of our times requires the Design discipline to understand the many complex relationships behind the social, business, technology and territory dimensions of each project. Such nature of complex systems lays not only inside design projects, but also inside the design processes that generate them, and the ability of organizing them through meta-design approaches is becoming strategic. Since the turn of the century, the design discipline has increasingly moved its scope from single users to local and online communities, from isolated projects to system of solutions. This shift has brought researchers and practitioners to investigate tools and strategies to enable mass- scale interactions by adopting several models and tools coming from software development and web-based technologies: Open Source, P2P, DDD (Diffuse, Distributed, and Decentralized) systems. This influence has matured over the years, and if we observed in the past how such systemic models can be applied in the design practice (part 1), we are facing now a new phase where Design will have an increasing role in enabling such systems through the analysis, visualization and design of their collaborative tools, platforms, processes and organizations (part 2). This scope falls into the Meta-Design domain, where designers build environments for the collaborative design of open processes and their resulting organizations (part 3). In this paper, we address this phenomena by elaborating the Open Meta-Design framework (part 4), that provides a way for designing open, collaborative and distributed processes (including those in the professional design domain). The paper positions the framework among current meta-design and design approaches and develops its features of modeling, analysis, management and visualization of processes. This framework is based on four dimensions: conceptual (describing the philosophy, context and limitations of the approach), data (describing the ontology of design processes), design (visualizing designing processes) and software (managing the connections between the ontology and the visualization, the data and design dimensions). We believe that such a framework could potentially facilitate the participation and the creation of open, collaborative and distributed processes, enabling therefore more relevant interactions for communities. As a conclusion, the paper provides a roadmap for developing and testing the Open Meta-Design framework, and therefore evaluating its relevance in supporting complex projects (part 5).
Integrated expert recommendation model for online communitiesst02IJwest
Â
Online communities have become vital places for Web 2.0 users to share knowledg
e and experiences.
Recently, finding expertise user in community has become an important research issue. This paper
proposes a novel cascaded model for expert recommendation using aggregated knowledge extracted from
enormous contents and social network fe
atures. Vector space model is used to compute the relevance of
published content with respect
to a specific query while PageRank
algorithm is applied to rank candidate
experts. The experimental results sho
w that the proposed model is
an effective recommen
dation which can
guarantee that the most candidate experts are both highly relevant to the specific queries and highly
influential in corresponding areas
Global Collaboration: Both Art & ScienceMike Gotta
Â
Improving collaboration begins with an understanding of organizational dynamics around teams, communities and networks. Various technologies can help depending on situational needs and business requirements.
Social and economic change made access to knowledge central to how we work. Collaborative working is constantly pushing boundaries.
Tipping point in citizen behaviour, people can now create content, re-use information, co-produce services â otherwise known as web2.0.
Similar to Activating Online Collaborative Communities (20)
Knowledge Weaving for Social Innovation: Laying the First StrandCommunitySense
Â
Society consists of a web of interconnected communities. A large body of research and practice exists on how to make communities work. Still, the intersection and interaction of multiple communities - the development and use of their inter-communal commons - is ill-understood. Social innovation is the process in which relevant stakeholders jointly develop solutions to wicked problems that none of them can solve on their own. As such, it is a prime example of the need for multiple stakeholder communities collaborating. We propose a process for building a networked community-commons called knowledge weaving. This is a reflective sensemaking effort in which existing communal knowledge sharing practices, initiatives, and resources are tied together into coherent commons-based knowledge fabrics that support intercommunal collaboration, such as for social innovation. We illustrate the approach with the case of the European Social Innovation Week 2015 pre-events.
Making Community Mapping Work: The Tilburg Urban Farming Community CaseCommunitySense
Â
This presentation outlines an approach for participatory community mapping, illustrated by the Tilburg urban farming community case. It ends with lessons learnt and a set of key open questions.
Towards a participatory community mapping method: the Tilburg urban farming c...CommunitySense
Â
Urban farming communities often consist of many disjoint initiatives, while having a strong need to overcome their fragmentation. Community mapping can help urban farmers make better sense of their collaboration. We describe a participatory community mapping approach being piloted in an urban farming community-building project in and around the city of Tilburg. The approach combines (1) a basic community mapping language, (2) a state of the art web-based community visualization tool, and (3) a participatory mapping process to support the community-building efforts. We outline the approach being developed and present initial results of applying it in the Tilburg case.
Knowledge Sharing for Social Innovation: The Dutch Tilburg Regional CaseCommunitySense
Â
Social innovation as a process is about multiple stakeholders working together on joint, economically and socially sustainable solutions for wicked societal problems. Social innovation both co-creates value for individual stakeholders involved, and contributes to the common good. It has been an important theme in the the Dutch city of Tilburg and the surrounding region of Midden-Brabant for years. A successful regional social innovation ecosystem exists. Knowledge sharing about the innovations remains a bottleneck, however. Two initiatives to increase regional social innovation knowledge sharing capacity are presented: the social innovation storytelling architecture and the Tilburg public library prototype KnowledgeCloud for catalyzing knowledge sharing across regional themes of interest.
Creativity Meets Rationale - Collaboration Patterns for Social InnovationCommunitySense
Â
Collaborative communities require a wide range of face-to-face and online communication tools. Their socio-technical systems continuously grow, driven by evolving stakeholder requirements and newly available technologies. Designing tool systems that (continue to) match authentic community needs is not trivial. Collaboration patterns can help community members specify customized systems that capture their unique requirements, while reusing lessons learnt by other communnities. Such patterns are an excellent example of combining the strengths of creativity and rationale. In this chapter, we explore the role that collaboration patterns can play in designing the socio-technical infrastructure for collaborative communities. We do so via a cross-case analysis of three Dutch social innovation communities simultaneously being set-up. Our goal with this case study is two-fold: (1) understanding what social innovation is from a socio-technical lens and (2) exploring how the rationale of collaboration patterns can be used to develop creative socio-technical solutions for working communities.
Expanding the Academic Research Community: Building Bridges into Society with...CommunitySense
Â
Academic research is under threat from issues like a lack of resources, fraud, and societal isolation. Such issues weaken the academic research process, from the framing of research questions to the evaluation of impact. After (re)defining this process, we examine how the academic research community could be expanded using the Internet. We examine two existing science-society collaborations that focus on data collection and analysis and then proceed with a scenario that covers expanding research stages like research question framing, dissemination, and impact assessment.
Presentation for the panel discussion at the 5th AIS SIGPrag International Pragmatic Web Conference Track of I-SEMANTICS, Graz, Austria, Sep 1 2010 http://bit.ly/9U31KO
Collaboration Patterns as Building Blocks for Community InformaticsCommunitySense
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Community Informatics is a wide-ranging field of inquiry and practice, with many paradigms, disciplines, and perspectives intersecting. Community Informatics research and practice build on several methodological pillars: contexts/values, cases, process/methodology, and systems. Socio-technical patterns and pattern languages are the glue that help connect these pillars. Patterns define relatively stable solutions to recurring problems at the right level of abstraction, which means that they are concrete enough to be useful, while also sufficiently abstract to be reusable. The goal of this paper is to outline a practical approach to improve CI research and practice through collaboration patterns. This approach should help to strengthen the analysis, design, implementation, and evaluation of socio-technical community systems. The methodology is illustrated with examples from the ESSENCE (E-Science/Sensemaking/Climate Change) community.
A Practical Method for Courseware EvaluationCommunitySense
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A. de Moor (2007). A Practical Method for Courseware Evaluation. In Proc. of the 2nd International Conference on the Pragmatic Web (PragWeb 2007), Tilburg, the Netherlands, October 22-23, 2007. ACM International Conference Proceedings Series, Vol. 280, pp.57-63.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
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Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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Clients donât know what they donât know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clientsâ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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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.