From PaperPoint to MindXpres - Towards Enhanced Presentation ToolsBeat Signer
Presentation given at Education Thursday, December, 2014
Related publications:
PaperPoint: https://www.academia.edu/175439/
MindXpres: https://www.academia.edu/7719770/
Formations & Deformations of Social Network GraphsShalin Hai-Jew
Social network graphs are node-link (vertex-edge; entity-relationship) diagrams that show relationships between people and groups. Open-source tools like NodeXL Basic (available on Microsoft’s CodePlex) enable the capture of network data from select social media platforms through third-party add-ons and social media APIs. From social groups, relational clusters are extracted with clustering algorithms which identify intensities of connections. Visually, structural relational data is conveyed with layout algorithms in two-dimensional space. Using these various layout options and built-in visual design features, it is possible to aesthetically “deform” the network graph data for visual effects. This presentation introduces novel datasets and novel data visualizations.
What is NodeXL (Network Overview, Discovery and Exploration for Excel)?
Graph aesthetics in NodeXL
Visual pleasure
Cognitive pleasure
Bridging to NodeXL for research and analysis
The Future is Big Graphs: A Community View on Graph Processing SystemsNeo4j
Alexandru Iosup, Full Professor, Vrije Universiteit Amsterdam (VU Amsterdam)
Angela Bonifati, Full Professor of Computer Science, Université de Lyon
Hannes Voigt, Software Engineer, Neo4j
Thesis report and full details: https://imatge.upc.edu/web/publications/contextless-object-recognition-shape-enriched-sift-and-bags-features
Author: Marcel Tella
Advisors: Xavier Giró-i-Nieto (UPC) and Matthias Zeppelzauer (TU Wien)
Degree: Telecommunications Engineering (5 years) at Telecom BCN-ETSETB (UPC)
Abstract:
Currently, there are highly competitive results in the field of object recognition based on the aggregation of point-based features. The aggregation process, typically with an average or max-pooling of the features generates a single vector that represents the image or region that contains the object.
The aggregated point-based features typically describe the texture around the points with descriptors such as SIFT. These descriptors present limitations for wired and textureless objects. A possible solution is the addition of shape-based information. Shape descriptors have been previously used to encode shape information and thus, recognise those types of objects. But generally an alignment step is required in order to match every point from one shape to other ones. The computational cost of the similarity assessment is high.
We purpose to enrich location and texture-based features with shape-based ones. Two main architectures are explored: On the one side, to enrich the SIFT descriptors with shape information before they are aggregated. On the other side, to create the standard Bag of Words histogram and concatenate a shape histogram, classifying them as a single vector.
We evaluate the proposed techniques and the novel features on the Caltech-101 dataset.
Results show that shape features increase the final performance. Our extension of the Bag of Words with a shape-based histogram(BoW+S) results in better performance. However, for a high number of shape features, BoW+S and enriched SIFT architectures tend to converge.
Network visualization: Fine-tuning layout techniques for different types of n...Nees Jan van Eck
An important issue in network visualization is the problem of obtaining a good layout for a network. For a given network, which may be either weighted or unweighted, the problem is to position the nodes in the network in a two-dimensional space in such a way that an attractive layout is obtained. Many layout techniques have been proposed [1]. In the visualization of bibliometric networks, multidimensional scaling and the layout technique of Kamada and Kawai [2] have for instance been used a lot. More recently, the VOS (visualization of similarities) layout technique [3], implemented in our VOSviewer software (www.vosviewer.com) [4], is often used for bibliometric network visualization.
There is no layout technique that is generally considered to give optimal results. One reason for this is that comparisons between layouts produced by different techniques involve a lot of subjectiveness. Someone may consider one layout to be more attractive than another, but someone else may have an opposite opinion on this. In addition, the attractiveness of a layout may depend on the type of visualization that is needed. For instance, some layouts may be more attractive for interactive visualizations (e.g., in a software tool with zooming functionality), while other layouts may be more attractive for static visualizations. Furthermore, different types of networks may benefit from different layout techniques.
In recent studies [5, 6], the idea of parameterized layout techniques has been introduced. Parameterized layout techniques produce different types of layouts depending on the values chosen for their parameters. In this research, we present a comprehensive study of a parameterized version of our VOS layout technique. Two parameters are included. Like in [5], these are referred to as attraction and repulsion parameters. We compare the layouts obtained for different parameter values. Comparisons are made both subjectively using the VOSviewer software (i.e., which layout do we find most appealing?) and more objectively using so-called meta-criteria [6, 7]. Sensitivity to local optima is taken into account as well. Comparisons are made for all important types of bibliometric networks, in particular co-authorship, citation, co-citation, bibliographic coupling, and co-occurrence networks. Both smaller and larger networks are considered.
SANN: Programming Code Representation Using Attention Neural Network with Opt...Peter Brusilovsky
Slides of CIKM 2023 paper by Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky and Bita Akram
https://dl.acm.org/doi/10.1145/3583780.3615047
GraphSummit London Feb 2024 - ABK - Neo4j Product Vision and Roadmap.pptxNeo4j
Andreas presents an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Presentation given at DMZ about Data Structure Graphs.
Also known as Applying Social Network Analysis Techniques to Data Modeling and Data Architecture
Attentive Relational Networks for Mapping Images to Scene GraphsSangmin Woo
M. Qi, W. Li, Z. Yang, Y. Wang, and J. Luo.: Attentive relational networks for mapping images to scene graphs. In The
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
From PaperPoint to MindXpres - Towards Enhanced Presentation ToolsBeat Signer
Presentation given at Education Thursday, December, 2014
Related publications:
PaperPoint: https://www.academia.edu/175439/
MindXpres: https://www.academia.edu/7719770/
Formations & Deformations of Social Network GraphsShalin Hai-Jew
Social network graphs are node-link (vertex-edge; entity-relationship) diagrams that show relationships between people and groups. Open-source tools like NodeXL Basic (available on Microsoft’s CodePlex) enable the capture of network data from select social media platforms through third-party add-ons and social media APIs. From social groups, relational clusters are extracted with clustering algorithms which identify intensities of connections. Visually, structural relational data is conveyed with layout algorithms in two-dimensional space. Using these various layout options and built-in visual design features, it is possible to aesthetically “deform” the network graph data for visual effects. This presentation introduces novel datasets and novel data visualizations.
What is NodeXL (Network Overview, Discovery and Exploration for Excel)?
Graph aesthetics in NodeXL
Visual pleasure
Cognitive pleasure
Bridging to NodeXL for research and analysis
The Future is Big Graphs: A Community View on Graph Processing SystemsNeo4j
Alexandru Iosup, Full Professor, Vrije Universiteit Amsterdam (VU Amsterdam)
Angela Bonifati, Full Professor of Computer Science, Université de Lyon
Hannes Voigt, Software Engineer, Neo4j
Thesis report and full details: https://imatge.upc.edu/web/publications/contextless-object-recognition-shape-enriched-sift-and-bags-features
Author: Marcel Tella
Advisors: Xavier Giró-i-Nieto (UPC) and Matthias Zeppelzauer (TU Wien)
Degree: Telecommunications Engineering (5 years) at Telecom BCN-ETSETB (UPC)
Abstract:
Currently, there are highly competitive results in the field of object recognition based on the aggregation of point-based features. The aggregation process, typically with an average or max-pooling of the features generates a single vector that represents the image or region that contains the object.
The aggregated point-based features typically describe the texture around the points with descriptors such as SIFT. These descriptors present limitations for wired and textureless objects. A possible solution is the addition of shape-based information. Shape descriptors have been previously used to encode shape information and thus, recognise those types of objects. But generally an alignment step is required in order to match every point from one shape to other ones. The computational cost of the similarity assessment is high.
We purpose to enrich location and texture-based features with shape-based ones. Two main architectures are explored: On the one side, to enrich the SIFT descriptors with shape information before they are aggregated. On the other side, to create the standard Bag of Words histogram and concatenate a shape histogram, classifying them as a single vector.
We evaluate the proposed techniques and the novel features on the Caltech-101 dataset.
Results show that shape features increase the final performance. Our extension of the Bag of Words with a shape-based histogram(BoW+S) results in better performance. However, for a high number of shape features, BoW+S and enriched SIFT architectures tend to converge.
Network visualization: Fine-tuning layout techniques for different types of n...Nees Jan van Eck
An important issue in network visualization is the problem of obtaining a good layout for a network. For a given network, which may be either weighted or unweighted, the problem is to position the nodes in the network in a two-dimensional space in such a way that an attractive layout is obtained. Many layout techniques have been proposed [1]. In the visualization of bibliometric networks, multidimensional scaling and the layout technique of Kamada and Kawai [2] have for instance been used a lot. More recently, the VOS (visualization of similarities) layout technique [3], implemented in our VOSviewer software (www.vosviewer.com) [4], is often used for bibliometric network visualization.
There is no layout technique that is generally considered to give optimal results. One reason for this is that comparisons between layouts produced by different techniques involve a lot of subjectiveness. Someone may consider one layout to be more attractive than another, but someone else may have an opposite opinion on this. In addition, the attractiveness of a layout may depend on the type of visualization that is needed. For instance, some layouts may be more attractive for interactive visualizations (e.g., in a software tool with zooming functionality), while other layouts may be more attractive for static visualizations. Furthermore, different types of networks may benefit from different layout techniques.
In recent studies [5, 6], the idea of parameterized layout techniques has been introduced. Parameterized layout techniques produce different types of layouts depending on the values chosen for their parameters. In this research, we present a comprehensive study of a parameterized version of our VOS layout technique. Two parameters are included. Like in [5], these are referred to as attraction and repulsion parameters. We compare the layouts obtained for different parameter values. Comparisons are made both subjectively using the VOSviewer software (i.e., which layout do we find most appealing?) and more objectively using so-called meta-criteria [6, 7]. Sensitivity to local optima is taken into account as well. Comparisons are made for all important types of bibliometric networks, in particular co-authorship, citation, co-citation, bibliographic coupling, and co-occurrence networks. Both smaller and larger networks are considered.
SANN: Programming Code Representation Using Attention Neural Network with Opt...Peter Brusilovsky
Slides of CIKM 2023 paper by Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky and Bita Akram
https://dl.acm.org/doi/10.1145/3583780.3615047
GraphSummit London Feb 2024 - ABK - Neo4j Product Vision and Roadmap.pptxNeo4j
Andreas presents an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Presentation given at DMZ about Data Structure Graphs.
Also known as Applying Social Network Analysis Techniques to Data Modeling and Data Architecture
Attentive Relational Networks for Mapping Images to Scene GraphsSangmin Woo
M. Qi, W. Li, Z. Yang, Y. Wang, and J. Luo.: Attentive relational networks for mapping images to scene graphs. In The
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Indoor Positioning Using the OpenHPS FrameworkBeat Signer
Research paper presentation given at IPIN 2021, Lloret de Mar, Spain.
Hybrid positioning frameworks use various sensors and algorithms to enhance positioning through different types of fusion. The optimisation of the fusion process requires the testing of different algorithm parameters and optimal lowas well as high-level sensor fusion techniques. The presented OpenHPS open source hybrid positioning system is a modular framework managing individual nodes in a process network, which can be configured to support concrete positioning use cases or to adapt to specific technologies. This modularity allows developers to rapidly develop and optimise their positioning system while still providing them the flexibility to add their own algorithms. In this paper we discuss how a process network developed with OpenHPS can be used to realise a customisable indoor positioning solution with an offline and online stage, and how it can be adapted for high accuracy or low latency. For the demonstration and validation of our indoor positioning solution, we further compiled a publicly available dataset containing data from WLAN access points, BLE beacons as well as several trajectories that include IMU data.
Research paper: https://beatsigner.com/publications/indoor-positioning-using-the-openhps-framework.pdf
Personalised Learning Environments Based on Knowledge Graphs and the Zone of ...Beat Signer
Presentation given at CSEDU 2022, Virtual Event.
The learning of new knowledge and skills often requires previous knowledge, which can lead to some frustration if a teacher does not know a learner's exact knowledge and skills and therefore confronts them with exercises that are too difficult to solve. We present a solution to address this issue when teaching techniques and skills in the domain of table tennis, based on the concrete needs of trainers that we have investigated in a survey. We present a conceptual model for the representation of knowledge graphs as well as the level at which individual players already master parts of this knowledge graph. Our fine-grained model enables the automatic suggestion of optimal exercises in a player's so-called zone of proximal development, and our domain-specific application allows table tennis trainers to schedule their training sessions and exercises based on this rich information. In an initial evaluation of the resulting solution for personalised learning environments, we received positive and promising feedback from trainers. We are currently investigating how our approach and conceptual model can be generalised to some more traditional educational settings and how the personalised learning environment might be further improved based on the expressive concepts of the presented model.
Research paper: https://beatsigner.com/publications/personalised-learning-environments-based-on-knowledge-graphs-and-the-zone-of-proximal-development.pdf
Cross-Media Technologies and Applications - Future Directions for Personal In...Beat Signer
Webinar given at icity Lab Talks - The Digital Value Chain
In this talk, I will first provide an overview of the lab’s research on a general data-driven approach for cross-media information system and architectures based on the resource-selector-link (RSL) hypermedia metamodel. We will then have a look at several cross-media applications for personal information management and next-generation presentation solutions (MindXpres). Finally, I will outline the lab’s most recent research on tangible interaction and dynamic data physicalisation.
Codeschool in a Box: A Low-Barrier Approach to Packaging Programming CurriculaBeat Signer
Presentation given at CSEDU 2023, Prague, Czech Republic.
The tech industry is a fast-growing field, with many companies facing issues in finding skilled workers to fill their open vacancies. At the same time, many people have limited access to the quality education necessary to enter this job market. To address this issue, various small and often volunteer-run non-profit organisations have emerged to up-skill capable learners. However, these organisations face tight constraints and many challenges while trying to design and deliver high-quality education to their learners. In this position paper, we discuss some of these challenges and present a preliminary version of a curriculum packager addressing some of these issues. Our proposed solution, inspired by first-hand experience in these organisations as well as computing education research (CER), is based on a combination of micromaterials, study lenses and a companion mobile application. While our solution is designed for the specific context of small organisations providing vocational ICT training, it can also be applied to the broader domain of learning environments facing similar constraints.
Research paper: https://beatsigner.com/publications/codeschool-in-a-box-a-low-barrier-approach-to-packaging-programming-curricula.pdf
Towards a Framework for Dynamic Data PhysicalisationBeat Signer
Presentation given at the International Workshop Toward a Design Language for Data Physicalization, Berlin, Germany, October 2018
ABSTRACT: Advanced data visualisation techniques enable the exploration and analysis of large datasets. Recently, there is the emerging field of data physicalisation, where data is represented in physical space (e.g. via physical models) and can no longer only be explored visually, but also by making use of other senses such as touch. Most existing data physicalisation solutions are static and cannot be dynamically updated based on a user's interaction. Our goal is to develop a framework for new forms of dynamic data physicalisation in order to support an interactive exploration and analysis of datasets. Based on a study of the design space for dynamic data physicalisation, we are therefore working on a grammar for representing the fundamental physical operations and interactions that can be applied to the underlying data. Our envisioned extensible data physicalisation framework will enable the rapid prototyping of dynamic data physicalisations and thereby support researchers who want to experiment with new combinations of physical variables or output devices for dynamic data physicalisation as well as designers and application developers who are interested in the development of innovative dynamic data physicalisation solutions.
Paper: https://www.academia.edu/37336859/Towards_a_Framework_for_Dynamic_Data_Physicalisation
Cross-Media Document Linking and NavigationBeat Signer
Presentation given at DocEng 2018, 18th ACM Symposium on Document Engineering, Halifax, Canada, August 2018
ABSTRACT: Documents do often not exist in isolation but are implicitly or explicitly linked to parts of other documents. However, due to a multitude of proprietary document formats with rather simple link models, today's possibilities for creating hyperlinks between snippets of information in different document formats are limited. In previous work, we have presented a dynamically extensible cross-document link service overcoming the limitations of the simple link models supported by most existing document formats. Based on a plug-in mechanism, our link service enables the linking across different document types. In this paper, we assess the extensibility of our link service by integrating some document formats as well as third-party document viewers. We illustrate the flexibility of creating advanced hyperlinks across these document formats and viewers that cannot be realised with existing linking solutions or link models of existing document formats. A user study further investigates the user experience when creating and navigating cross-document hyperlinks.
Paper: https://www.academia.edu/36550753/Cross_Media_Document_Linking_and_Navigation
An Analysis of Cross-Document Linking MechanismsBeat Signer
Presentation given at JCDL 2018, ACM/IEEE Joint Conference on Digital Libraries, Fort Worth, USA, June 2018
ABSTRACT: Physical and digital documents do often not exist in isolation but are implicitly or explicitly linked. Previous research in Human-Computer Interaction and Personal Information Management has revealed certain user behaviour in associating information across physical and digital documents. Nevertheless, there is a lack of empirical studies on user needs and behaviour when defining these associations. In this paper, we address this lack of empirical studies and provide insights into strategies that users apply when associating information across physical and digital documents. In addition, our study reveals the limitations of current practices and we suggest improvements for associating information across documents. Last but not least, we identify a set of design implications for the development of future cross-document linking solutions.
Paper: https://www.academia.edu/36348960/An_Analysis_of_Cross_Document_Linking_Mechanisms
Crossing Spaces: Towards Cross-Media Personal Information Management User Int...Beat Signer
Presentation given at AVI 2018, International Working Conference on Advanced Visual Interfaces, Grosseto, Italy, May 2018
ABSTRACT: Nowadays, digital and paper documents are used simultaneously during daily tasks. While significant research has been carried out to support the re-finding of digital documents, less effort has been made to provide similar functionality for paper documents. In this paper, we present a solution that enables the design of cross-media Personal Information Management (PIM) user interfaces helping users in re-finding documents across digital and physical information spaces. We propose three main design requirements for the presented cross-media PIM user interfaces. Further, we illustrate how these design requirements have been applied in the development of three proof-of-concept applications and describe a software framework supporting the design of these interfaces. Finally, we discuss opportunities for future improvements of the presented cross-media PIM user interfaces.
Paper: https://www.academia.edu/36502958/Crossing_Spaces_Towards_Cross-Media_Personal_Information_Management_User_Interfaces
Designing Prosthetic Memory: Audio or Transcript, That is the QuestionBeat Signer
Presentation given at AVI 2018, International Working Conference on Advanced Visual Interfaces, Grosseto, Italy, May 2018
ABSTRACT: Audio recordings and the corresponding transcripts are often used as prosthetic memory (PM) after meetings and lectures. While current research is mainly developing novel features for prosthetic memory, less is known on how and why audio recordings and transcripts are used. We investigate how users interact with audio and transcripts as prosthetic memory, whether interaction strategies change over time, and analyse potential differences in accuracy and efficiency. In contrast to the subjective user perception, our results show that audio recordings and transcripts are equally efficient, but that transcripts are generally preferred due to their easily accessible contextual information. We further identified that prosthetic memory is not only used as a recall aid but frequently also consulted for verifying information that has been recalled from organic memory (OM). Our findings are summarised in a number of design implications for prosthetic memory solutions.
Paper: https://www.academia.edu/36500351/Designing_Prosthetic_Memory_Audio_or_Transcript_That_is_the_Question
Bespoke Map Customization Behavior and Its Implications for the Design of Mul...Beat Signer
Presentation given at MUM 2017, 16th International Conference on Mobile and Ubiquitous Multimedia, Stuttgart, Germany, November 2017
ABSTRACT: While popular digital maps support an unprecedented number of use cases, new reference map customization tools have been created for purposes for which those maps fall short. With the goal of informing the design of this new class of cartographic tools, we present the first study of naturalistic (“bespoke”) map customization behavior. Through a mixed methods and mixed-media approach involving a survey, the analysis of a corpus of customized maps, and an interview with a power user, we find that bespoke map customization is a relatively common activity and identify frequent use cases as well as map customization strategies. We discuss these use cases and strategies in detail, and propose design implications for future customization tools, such as the use of templates for common use cases, adaptability for various customization styles and the support of multimedia interaction.
Paper: https://www.academia.edu/34977332/Bespoke_Map_Customization_Behavior_and_Its_Implications_for_the_Design_of_Multimedia_Cartographic_Tools
Cross-Media Information Spaces and Architectures (CISA)Beat Signer
Research on cross-media information spaces and architectures covering interactive paper, personal information management, data physicalisation, document engineering, gesture recognition, presentation tools, next generation user interfaces and other topics.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Case Studies and Course Review - Lecture 12 - Information Visualisation (4019538FNR)
1. 2 December 2005
Information Visualisation
Case Studies and Course Review
Prof. Beat Signer
Department of Computer Science
Vrije Universiteit Brussel
beatsigner.com
2. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 2
May 20, 2021
Analyse Case Studies
▪ Analysis of existing systems provides foundation for
considering all the possibilities when designing new
systems
▪ use analysis framework introduced earlier
- what, why and how?
- four levels of validation
▪ data/task abstraction
- types of data abstraction
- derived data
- …
▪ visual encoding/interaction idioms
- encoding design choices
- faceting between multiple views
- …
3. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 3
May 20, 2021
Scagnostics SPLOM
▪ Scalable idiom for the exploration of scatterplot
matrices (SPLOMs)
▪ scagnostics = scatterplot computer-guided diagnostics
4. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 4
May 20, 2021
Scagnostics SPLOM …
▪ Use nine measurements
that categorise the point
distribution of scatterplots
▪ monotonic, stringy, skinny,
convex, striated, sparse,
clumpy, skewed and outlying
▪ Show measurements in a
new scagnostics SPLOM
▪ scatterplot of scatterplots
▪ each point in the scagnostics
SPLOM represents an entire
scatterplot of the original
SPLOM
5. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 5
May 20, 2021
Scagnostics SPLOM …
6. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 6
May 20, 2021
Scagnostics SPLOM …
▪ Linked highlighting between views
▪ Selection of point triggers popup view with full scatterplot
Scagnostics SPLOM
What(Data) Table.
What(Derived) Nine quantitative attributes per scatterplot (pairwise combination of
original attributes).
Why(Tasks) Identify, compare, and summarise; distributions and correlation.
How(Encode) Scatterplot, scatterplot matrix.
How (Manipulate) Select.
How (Facet) Juxtaposed small-multiple views coordinated with linked
highlighting, popup detail view.
Scale Original attributes: dozens.
7. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 7
May 20, 2021
Hierarchical Clustering Explorer (HCE)
▪ Systematic exploration of multidimensional table
▪ Originally designed for genomics domain
▪ multidimensional table with two key attributes (genes and
experimental conditions) and a quantitative value attribute (activity
of gene under experimental condition)
▪ derived data is a cluster hierarchy of items based on a similarity
measure between items
▪ scalability target: 100-20'000 gene attributes and 2-80
experimental condition attributes
▪ Scalability through combination of visual encoding and
interaction idioms
8. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 8
May 20, 2021
Hierarchical Clustering Explorer (HCE) …
9. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 9
May 20, 2021
Hierarchical Clustering Explorer (HCE) …
Hierarchical Clustering Explorer (HCE)
What(Derived) Hierarchical clustering of table rows and columns (for cluster
heatmap); quantitative derived attributes for each attribute and
pairwise attribute combination; quantitative derived attribute for
each ranking criterion and original attribute combination.
Why(Tasks) Find correlation between attributes; find clusters, gaps, outliers,
trends within items.
How(Encode) Cluster heatmap, scatterplots, histograms.
How(Reduce) Dynamic filtering; dynamic aggregation.
How (Manipulate) Navigate with pan/scroll.
How (Facet) Multiform with linked highlighting and shared spatial position;
overview-detail with selection in overview populating detail view
Scale Genes (key attribute): 20'000. Conditions (key attribute): 80. Gene
activity in condition (quantitative value attribute): 20'000 × 80 =
1'600'000.
10. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 10
May 20, 2021
PivotGraph
▪ PivotGraph idiom encodes a network derived from the
original network by aggregating groups of nodes and
links into a roll-up
▪ grouping based on categorical attribute values on the nodes
(up to two attributes)
11. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 11
May 20, 2021
PivotGraph …
12. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 12
May 20, 2021
PivotGraph …
▪ PivotGraph idiom is highly scalable
▪ summarises arbitrarily large number of nodes and links of the
original network
▪ Visual complexity of the derived network depends on the
number of attribute levels for the two roll-up attributes
▪ PivotGraph complements standard encoding idioms for
networks (e.g. node-link and matrix views)
▪ might be used as a linked multiform view
▪ Well suited for comparison across attributes at the
aggregate level
▪ but not good to understand topological network features
13. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 13
May 20, 2021
PivotGraph …
PivotGraph
What(Data) Network.
What(Derived) Derived network of aggregate nodes and links by roll-up into two
chosen attributes.
Why(Task) Cross-attribute comparison of node groups.
How(Encode) Nodes linked with connection marks, size.
How (Manipulate) Change: animated transitions.
How (Reduce) Aggregation, filtering.
Scale Nodes/links in original network: unlimited. Rollup attributes: 2.
Levels per roll-up attribute: several, up to one dozen.
14. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 14
May 20, 2021
InterRing
▪ Visual encoding and interaction idioms for tree exploration
▪ space-filling radial layout for encoding the hierarchy
▪ multifocus focus+context distortion approach for interaction
▪ structure-based colouring (redundant)
- useful if shared colour coding used to coordinate with other views
original hierarchy selected blue region enlarged selected tan region enlarged
15. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 15
May 20, 2021
InterRing …
▪ Works well in combination with other views
▪ hierarchy view supports selection, navigation and roll-up/drill-
down operations
▪ supports direct editing of the hierarchy
InterRing
What(Data) Tree.
Why(Task) Selection, rollup/drilldown, hierarchy editing.
How(Encode) Radial, space-filling layout. Colour by tree structure.
How(Facet) Linked colouring and highlighting.
How (Reduce) Embed: distort; multiple foci.
Scale Nodes: hundreds if labelled, thousands if dense.
Levels in tree: dozens.
16. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 16
May 20, 2021
Constellation
▪ Supports browsing of complex multilevel linguistic
network
▪ reduce perceptual impact of edge crossing
- dynamic highlighting of foreground layer
▪ nodes duplicated in subgraphs to maximise readability
▪ Specialised vis tool designed for computational
linguistics researchers
▪ should support them in developing algorithms
17. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 17
May 20, 2021
Constellation …
18. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 18
May 20, 2021
Constellation …
dynamic superimposed layers
19. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 19
May 20, 2021
Constellation …
20. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 20
May 20, 2021
Constellation …
Mid-level constellation path segment layout
21. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 21
May 20, 2021
Constellation …
semantic zooming
22. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 22
May 20, 2021
Constellation …
Constellation
What(Data) Three-level network of paths, subgraphs (definitions) and nodes
(word senses).
Why(Task) Discover/verify: browse and locate types of paths, identify and
compare.
How(Encode) Containment and connection link marks, horizontal spatial position
for plausibility attribute, vertical spatial position for order within
path, colour links by type.
How (Manipulate) Navigate: semantic zooming. Change: Animated transitions
How(Reduce) Superimpose dynamic layers.
Scale Paths: 10-50. Subgraphs: 1-30 per path. Nodes: several thousand.
23. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 23
May 20, 2021
Course Summary
1. Introduction
▪ classical information visualisations
- London cholera map, Rose diagram, March on Moscow, …
▪ what-why-how question
▪ vis design
- search space metaphor
2. Human Perception and Colour Theory
▪ model of perceptual processing
▪ visible light and anatomy of the human eye
▪ brightness and contrast
▪ various guidelines
▪ colour spaces
▪ illusions
24. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 24
May 20, 2021
Course Summary …
3. Data Representation
▪ data types
- items, attributes, links, positions, grids
▪ attribute types
- categorical vs. ordinal and quantitative data
- key vs. value semantics, temporal semantics
▪ dataset types
- tables, networks and trees, fields, geometry, clusters, sets, lists
▪ task abstraction (why)
- analyse: consume and produce
- search: lookup, locate, browse and explore
- query: identify, compare and summarise
25. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 25
May 20, 2021
Course Summary …
4. Validation
▪ validating four levels of design
- domain validation, abstraction validation (what and why), idiom
validation (how) and algorithm validation
- threats to validity
- downstream validation
▪ use cases
26. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 26
May 20, 2021
Course Summary …
5. Data Presentation
▪ marks
- item marks (points, lines, areas) and link marks (containment, connection)
▪ channels
- position, colour, shape, tilt, size, area, volume
- identity vs. magnitude channels
▪ expressiveness principle
▪ channel effectiveness (Steven's psychophysical power law)
- discriminability, separability, popout, grouping
▪ relative vs. absolute judgements (Weber's law)
▪ colour encoding (hue, saturation and luminance)
▪ colourmaps
- categorical or ordered (sequential or diverging)
27. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 27
May 20, 2021
Course Summary …
6. Data Processing and Visualisation Toolkits
▪ R, D3.js and Python
▪ various other solutions and toolkits
7. Design Guidelines and Principles
▪ no unjustified 3D (and 2D)
▪ eyes beat memory
▪ resolution over immersion
▪ overview first, zoom and filter, details on demand
▪ responsiveness is required
▪ get it right in black and white
▪ function first, form next
28. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 28
May 20, 2021
Course Summary …
8. Visualisation Techniques
▪ tables
- scatterplot, bubble plot, (stacked) bar chart, dot chart, line chart, steamgraph,
heatmap, scatterplot matrix, parallel coordinates, radial bar chart, pie chart,
polar area charts, …
▪ spatial data (geometry, fields)
- choropleth map, topographic terrain map, …
▪ network and trees
- node-link diagram, force-directed placement, adjacency matrix view, enclosure
(containment), treemap, GrouseFlocks, …
9. View Manipulation and Reduction
▪ element selection and selection highlighting
▪ item and attribute reduction (filtering and aggregation)
▪ semantic zooming
29. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 29
May 20, 2021
Course Summary …
10.Interaction
▪ faceting into multiple views
- linked highlighting
- share data and navigation
- juxtaposing views vs. superimposing views as layers
▪ embed: focus+context
- DOITrees, fisheye lens, …
30. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 30
May 20, 2021
Course Summary …
11.Dashboards
▪ what is a dashboard?
▪ 13 common mistakes in dashboard design
- exceeding the boundaries of a single screen, supplying inadequate context for
the data, displaying excessive detail or precision, …
▪ strategies for effective dashboard design
- condensing information with summaries and exceptions
- maximising the data-ink-ratio
- designing dashboards for usability/UX
12.Case Studies and Course Review
▪ Scagnostics SPLOM, Hierarchical Clustering Explorer,
PivotGraph, InterRing
▪ what-why-how?
31. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 31
May 20, 2021
Exam
▪ Exams take place online on June 17/18, 2021
▪ Oral online exam in English (25 mins slot)
▪ covers content of lectures and exercises
▪ counts 60% for the overall grade
▪ 5 mins questions about the assignment
▪ 20 mins questions about the course content (no preparation time)
▪ Overall grade = oral exam (60%) + assignment (40%)
▪ assignment is composed out of two grades
- overall grade for project where students have some flexibility in distributing
the grades (±2 points) (70%)
- your contribution/knowledge to the project as checked in oral exam (30%)
▪ note that the grade for the oral exam as well as for the assign-
ment have to be 8/20 or higher in order to pass the exam!
32. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 32
May 20, 2021
Exam …
▪ Submission of the assignment and video via
Canvas
▪ deadline: May 23, 24:00 (CET)
▪ The exam will cover all the content presented in the
lectures as well as any additional information from the
exercise sessions
▪ includes the videos shown in some of the lectures
▪ Make sure that you understand the basic concepts
▪ however, we might ask questions at any level of detail to evaluate
your knowledge
▪ Make sure that you can report about any aspects of the
assignment
33. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 33
May 20, 2021
Are You Interested in a Thesis?
▪ Various possibilities for BA, MA and PhD theses
▪ Data Physicalisation
- big data exploration interfaces
- extensible dynamic data physicalisation platform and framework
▪ Innovative Mixed Reality Interfaces
- augmented concept maps, museum guides, …
▪ Hybrid Positioning and Implicit Human-Computer Interaction
▪ Smart Environments and Cross-Domain Internet of Things (IoT)
▪ Next Generation Presentation Solutions (e.g. MindXpres)
▪ Personal Information Management (PIM)
▪ End-User Development and Human-AI Interaction
▪ ...
▪ Do you have your own ideas? Come along to discuss them ...
- https://beatsigner.com/flyers/ThesesOverview.pdf
34. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 34
May 20, 2021
Prof. Dr. Beat Signer
Cross-MediaTechnology, Interac-
tive Paper, Data Physicalisation
Dr. Audrey Sanctorum
User-defined XDI and IoT Inter-
action, Human-AI Interaction
CISA
Human-Machine &
Human-Information
Interaction
Information
Systems &
Management
Information
Visualisation
& Navigation
WEB & INFORMATION
SYSTEMS ENGINEERING
CROSS-MEDIA INFORMATION SPACES
AND ARCHITECTURES (CISA)
Payam Ebrahimi
Dynamic Data Physicalisation,
Real-Time Point Cloud Analysis
Maxim Van de Wynckel
Hybrid Positioning, Implicit
Human-Computer Interaction
35. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 35
May 20, 2021
Xuyao Zhang
Extensible Platform for Dynamic
Data Physicalisation
WEB & INFORMATION
SYSTEMS ENGINEERING
CISA
Human-Machine &
Human-Information
Interaction
Information
Systems &
Management
Information
Visualisation
& Navigation
CROSS-MEDIA INFORMATION SPACES
AND ARCHITECTURES (CISA)
Ekene Attoh
IoT Middleware, Context-aware
Computing, Implicit HCI
Jan Maushagen
Learning Analytics, Adaptive
Persuasive ICT Tools
Isaac Valadez
Knowledge Physicalisation and
Augmentation, Tangible UIs
36. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 36
May 20, 2021
Dr. Ahmed A.O. Tayeh
Open Cross-Media Authoring,
Fluid Document Formats
WEB & INFORMATION
SYSTEMS ENGINEERING
CISA
Human-Machine &
Human-Information
Interaction
Information
Systems &
Management
Information
Visualisation
& Navigation
CROSS-MEDIA INFORMATION SPACES
AND ARCHITECTURES (CISA)
Dr. Reinout Roels
MindXpres: Extensible Content-
driven Presentation Tool
Piet Van Der Paelt
Julia-based Framework for
Simulation and Optimisation
37. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 37
May 20, 2021
Final Project Presentations
▪ Each team will have 20 minutes to present
their work
38. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 38
May 20, 2021
Further Reading
▪ This lecture is mainly based on the
book Visualization Analysis & Design
▪ chapter 15
- Analysis Case Studies
39. Beat Signer - Department of Computer Science - bsigner@vub.ac.be 39
May 20, 2021
References
▪ Visualization Analysis & Design, Tamara
Munzner, Taylor & Francis Inc, (Har/Psc edition),
May, November 2014,
ISBN-13: 978-1466508910