Turning social disputes into knowledge representations DERI reading group 201...jodischneider
A reading group presentation about Turning social disputes into knowledge representations, based primarily on two papers:
Toni and Torroni. Bottom-up Argumentation. In: First International Workshop on the Theory and Applications of Formal Argumentation 2011 (TAFA), 16-22 July, 2011, Barcelona, Spain. http://www.doc.ic.ac.uk/~ft/PAPERS/tafaPT.pdf
Benn, Buckingham Shum, Domingue, and Mancini. Ontological Foundations for Scholarly Debate Mapping Technology. In: 2nd International Conference on Computational Models of Argument (COMMA '08), 28-30 May, 2008, Toulouse, France. http://oro.open.ac.uk/11939/
Making sense out of disagreement, University of Limerick Interaction Design C...jodischneider
How do we make sense out of disagreement on the social web?
A talk about my dissertation work, given to the University of Limerick Interaction Design Centre on 2012-04-18.
Leveraging existing Web Frameworks for a SIOC explorer (Scripting for the Sem...Benjamin Heitmann
The SIOC data format enables mash-ups of community focused content. This presentation introduces the SIOC format, and the SIOC explorer web application, which allows you to browse and navigate such data. The slides also show how the SIOC explorer is implemented with ActiveRDF and Ruby on Rails
First presented at http://www.e2conf.com/virtual/
The value of Social Analytics can be surfaced in many ways. Sometimes is quite visual like a leader board that helps motivate participation. Other times it's behind the scenes like the algorithms used to recommend groups to join or pages to read. Either way, social analytics can help you make better informed decisions, provide more relevancies to your interactions and ultimately help you get you and your company be more successful. This session will take a look at some of the real world implementations of social analytics available today from many of the social business vendors. We'll talk about the trends in this space and discuss some of the possible future directions.
Turning social disputes into knowledge representations DERI reading group 201...jodischneider
A reading group presentation about Turning social disputes into knowledge representations, based primarily on two papers:
Toni and Torroni. Bottom-up Argumentation. In: First International Workshop on the Theory and Applications of Formal Argumentation 2011 (TAFA), 16-22 July, 2011, Barcelona, Spain. http://www.doc.ic.ac.uk/~ft/PAPERS/tafaPT.pdf
Benn, Buckingham Shum, Domingue, and Mancini. Ontological Foundations for Scholarly Debate Mapping Technology. In: 2nd International Conference on Computational Models of Argument (COMMA '08), 28-30 May, 2008, Toulouse, France. http://oro.open.ac.uk/11939/
Making sense out of disagreement, University of Limerick Interaction Design C...jodischneider
How do we make sense out of disagreement on the social web?
A talk about my dissertation work, given to the University of Limerick Interaction Design Centre on 2012-04-18.
Leveraging existing Web Frameworks for a SIOC explorer (Scripting for the Sem...Benjamin Heitmann
The SIOC data format enables mash-ups of community focused content. This presentation introduces the SIOC format, and the SIOC explorer web application, which allows you to browse and navigate such data. The slides also show how the SIOC explorer is implemented with ActiveRDF and Ruby on Rails
First presented at http://www.e2conf.com/virtual/
The value of Social Analytics can be surfaced in many ways. Sometimes is quite visual like a leader board that helps motivate participation. Other times it's behind the scenes like the algorithms used to recommend groups to join or pages to read. Either way, social analytics can help you make better informed decisions, provide more relevancies to your interactions and ultimately help you get you and your company be more successful. This session will take a look at some of the real world implementations of social analytics available today from many of the social business vendors. We'll talk about the trends in this space and discuss some of the possible future directions.
I presented this talk on September 23 to the Computer Science and Telecommunications Board of the National Academies in Washington DC. It has three parts
1) What is User Centric Digital Identity
2) What are the technologies that have been developed to date
3) Emerging work on developing a Personal Data Ecosystem.
EDF2013: Keynote Stefan Decker: Big Data In Ireland - Linked Data and beyondEuropean Data Forum
Keynote of Stefan Decker, Professor for Digital Enterprise & Director of DERI, National University of Ireland, Galway, at the European Data Forum 2013, 9 April 2013 in Dublin, Ireland: Big Data In Ireland - Linked Data and beyond
See how Social Analytics can help employees discover the content, colleagues and communities that can help them Get Work Done.
Note: originally posted here: http://www.slideshare.net/alanlepofsky/social-analytics-in-the-enterprise
Note: some of the fonts/text seem to have been messed up during the conversation to SlideShare. ex: Slide 30 should say "Content".
This upcoming Wikimania 2008 tutorial discusses the three principles of “open collaboration” which I believe are underlying wikis, open source, and other forms of peer production.
Keynote presentation delivered at the WWW Conference 2007 in Banff, in the Tagging Workshop. Includes much new material that has not been publicly presented.
I have completed my Post graduate diploma program in design from National Institute of Design in Design for digital exp. I am keenly interested in projects related on user experience design, research methodology and development, product usability, service design and Interaction &interface design. I preferably would also like to do research and design process for innovative e- learning system, tools and techniques.
I am very passionate to read articles and materials on ancient civilization, culture, people and arts& crafts of different countries.
Taking the Training Wheels Off Social SoftwareAlan Lepofsky
The Shift From Sharing To Getting Work Done
Over the last few years employees have slowly grown accustomed to using social software at work. Actions such as posting status updates, sharing links to web sites and publishing personal blogs have provided great starting points for getting people engaged, but now it's time for employees to start using social software to help Get Work Done. In this session we'll discuss the growing trends of using social tools for task/project management and integration of social elements into core-businesses process. You'll hear how departments such as Human Resources, Marketing and Support can use social technologies to improve the way people work. Topics will include social/workforce analytics, social media monitoring, mobile devices and gamification. It's time to take social software from a tool for sharing to a key contributor of company success.
Presented at E2Conf Boston by
Alan Lepofsky and Yvette Cameron of Constellation Research
Envisioning a discussion dashboard for collective intelligence of web convers...jodischneider
Can we use Walton's discussion types to provide context for discussions?
Presentation for a CSCW2012 workshop on Collective Intelligence as Community Discourse and Action, focusing on the *why* of discussions, and detecting that with textmining.
See the position paper, Envisioning A Discussion Dashboard for Collective Intelligence of Web Conversations, at
http://events.kmi.open.ac.uk/cscw-ci2012/wp-content/uploads/2012/02/SchneiderPassant-cscw12-w33.pdf
I presented this talk on September 23 to the Computer Science and Telecommunications Board of the National Academies in Washington DC. It has three parts
1) What is User Centric Digital Identity
2) What are the technologies that have been developed to date
3) Emerging work on developing a Personal Data Ecosystem.
EDF2013: Keynote Stefan Decker: Big Data In Ireland - Linked Data and beyondEuropean Data Forum
Keynote of Stefan Decker, Professor for Digital Enterprise & Director of DERI, National University of Ireland, Galway, at the European Data Forum 2013, 9 April 2013 in Dublin, Ireland: Big Data In Ireland - Linked Data and beyond
See how Social Analytics can help employees discover the content, colleagues and communities that can help them Get Work Done.
Note: originally posted here: http://www.slideshare.net/alanlepofsky/social-analytics-in-the-enterprise
Note: some of the fonts/text seem to have been messed up during the conversation to SlideShare. ex: Slide 30 should say "Content".
This upcoming Wikimania 2008 tutorial discusses the three principles of “open collaboration” which I believe are underlying wikis, open source, and other forms of peer production.
Keynote presentation delivered at the WWW Conference 2007 in Banff, in the Tagging Workshop. Includes much new material that has not been publicly presented.
I have completed my Post graduate diploma program in design from National Institute of Design in Design for digital exp. I am keenly interested in projects related on user experience design, research methodology and development, product usability, service design and Interaction &interface design. I preferably would also like to do research and design process for innovative e- learning system, tools and techniques.
I am very passionate to read articles and materials on ancient civilization, culture, people and arts& crafts of different countries.
Taking the Training Wheels Off Social SoftwareAlan Lepofsky
The Shift From Sharing To Getting Work Done
Over the last few years employees have slowly grown accustomed to using social software at work. Actions such as posting status updates, sharing links to web sites and publishing personal blogs have provided great starting points for getting people engaged, but now it's time for employees to start using social software to help Get Work Done. In this session we'll discuss the growing trends of using social tools for task/project management and integration of social elements into core-businesses process. You'll hear how departments such as Human Resources, Marketing and Support can use social technologies to improve the way people work. Topics will include social/workforce analytics, social media monitoring, mobile devices and gamification. It's time to take social software from a tool for sharing to a key contributor of company success.
Presented at E2Conf Boston by
Alan Lepofsky and Yvette Cameron of Constellation Research
Envisioning a discussion dashboard for collective intelligence of web convers...jodischneider
Can we use Walton's discussion types to provide context for discussions?
Presentation for a CSCW2012 workshop on Collective Intelligence as Community Discourse and Action, focusing on the *why* of discussions, and detecting that with textmining.
See the position paper, Envisioning A Discussion Dashboard for Collective Intelligence of Web Conversations, at
http://events.kmi.open.ac.uk/cscw-ci2012/wp-content/uploads/2012/02/SchneiderPassant-cscw12-w33.pdf
A Semantic Best-Effort Approach for Extracting Structured Discourse Graphs fr...Andre Freitas
Most information extraction approaches available today have either focused on the extraction of simple relations or in scenarios where
data extracted from texts should be normalized into a database schema or ontology. Some relevant information present in natural language texts,
however, can be irregular, highly contextualized, with complex semantic dependency relations, poorly structured, and intrinsically ambiguous.
These characteristics should also be supported by an information extraction approach. To cope with this scenario, this work introduces a seman-
tic best-effort information extraction approach, which targets an information extraction scenario where text information is extracted under a
pay-as-you-go data quality perspective, trading high-accuracy, schema consistency and terminological normalization for domain-independency,
context capture, wider extraction scope and maximization of the text semantics extraction and representation. A semantic information ex-
traction framework (Graphia) is implemented and evaluated over the Wikipedia corpus.
One-stop shop for software development informationAftab Iqbal
Talks about the issues which developers face while interacting with the many software repositories and the questions they usually have in their mind while search. Introduce the linked data approach to integrate the information from different software repositories.
Transitioning web application frameworks towards the Semantic Web (master the...Benjamin Heitmann
Presents the results of a survey of 54 Semantic Web applications and shows how they fit into 6 broad application types/patterns. For every pattern the capabilities, requirements and components are presented.
The full version of the master thesis is available at: http://eyaloren.org/pubs/heitmann-thesis.pdf
The survey itself is available at http://activerdf.org/survey
Querying Heterogeneous Datasets on the Linked Data WebEdward Curry
The growing number of datasets published on the Web as linked data brings both opportunities for high data availability and challenges inherent to querying data in a semantically heterogeneous and distributed environment. Approaches used for querying siloed databases fail at Web-scale because users don't have an a priori understanding of all the available datasets. This article investigates the main challenges in constructing a query and search solution for linked data and analyzes existing approaches and trends.
A review of Eysenbach, G., 2011. Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact. Journal of Medical Internet Research, 13(4), p.e12
A Small Overview of Big Data Products, Analytics, and Infrastructure at LinkedInAmy W. Tang
This talk was given by Bhaskar Ghosh (Senior Director of Engineering, LinkedIn Data Infrastructure), at the Yale Oct 2012 Symposium on Big Data, in honor of Martin Schultz.
Wikipedia (DBpedia): Crowdsourced Data CurationEdward Curry
Wikipedia is an open-source encyclopedia, built collaboratively by a large community of web editors. The success of Wikipedia as one of the most important sources of information available today still challenges existing models of content creation. Despite the fact that the term ‘curation’ is not commonly addressed by Wikipedia’s contributors, the task of digital curation is the central activity of Wikipedia editors, who have the responsibility for information quality standards.
Wikipedia, is already widely used as a collaborative environment inside organizations5.
The investigation of the collaboration dynamics behind Wikipedia highlights important features and good practices which can be applied to different organizations. Our analysis focuses on the curation perspective and covers two important dimensions: social organization and artifacts, tools & processes for cooperative work coordination. These are key enablers that support the creation of high quality information products in Wikipedia’s decentralized environment.
The New York Times is the largest metropolitan and the third largest newspaper in the United States. The Times website, nytimes.com, is ranked as the most
popular newspaper website in the United States and is an important source of advertisement revenue for the company. The NYT has a rich history for curation of its articles and its 100 year old curated repository has ultimately defined its participation as one of the first players in the emergingWeb of Data.
Data curation is a process that can ensure the quality of data and its fitness for use. Traditional approaches to curation are struggling with increased data volumes, and near real-time demands for curated data. In response, curation teams have turned to community crowd-sourcing and semi-automatedmetadata tools for assistance.
E. Curry, A. Freitas, and S. O’Riáin, “The Role of Community-Driven Data Curation for Enterprises,” in Linking Enterprise Data, D. Wood, Ed. Boston, MA: Springer US, 2010, pp. 25-47.
Similar to Building a-standpoints-web-to-support-decision-making-in-wikipedia--cscw2012-doctoral-colloquium (20)
Continued citation of bad science and what we can do about it--2021-04-20jodischneider
Continued Citation of Bad Science and What We Can Do About It
Even papers that falsify data continue to be cited. I describe network and text analysis for studying how authors continue to cite bad science: articles retracted from the literature due to serious flaws or errors. I will present an in-depth case study of a human trial cited for over 10 years after it was retracted for falsifying data. Then, I will describe how the team scaled up to study a data set of 7000 retracted papers and hundreds of thousands of citations. Finally, I will discuss an ongoing Sloan-funded stakeholder consultation that is bringing editors, publishers, librarians, researchers, and research integrity experts together to address this problem.
BiographyJodi Schneider is Assistant Professor at the School of Information Sciences, University of Illinois at Urbana-Champaign where she runs the Information Quality Lab. She studies the science of science through the lens of arguments, evidence, and persuasion with a special interest in controversies in science. Her recent work has focused on topics such as systematic review automation, semantic publication, and the citation of retracted papers. Interdisciplinarity (PhD in Informatics, MS Library & Information Science, MA Mathematics; BA Great Books/liberal arts) is a fundamental principle of her work. She has held research positions across the U.S. as well as in Ireland, England, France, and Chile. She leads the Alfred P. Sloan-funded project, Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda. With Aaron Cohen and Neil Smalheiser she is working on the NIH R01 "Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine". Talk with her about scoping reviews and about citation-based methods for updating systematic reviews!
Tuesday, April 20th, 2021
Noon-1PM Eastern
GWU - CNHS Informatics Seminar
Continued citation of bad science and what we can do about it--2021-02-19jodischneider
Title: Continued Citation of Bad Science and What We Can Do About It
Abstract: Even papers that falsify data continue to be cited. I describe network and text analysis for studying how authors continue to cite bad science: articles retracted from the literature due to serious flaws or errors. Jodi will present an in-depth case study of a human trial cited for over 10 years after it was retracted for falsifying data. Then, will describe how the team scaled up to study a data set of 7000 retracted papers and hundreds of thousands of citations. Finally, Jodi will discuss an ongoing Sloan-funded stakeholder consultation that is bringing editors, publishers, librarians, researchers, and research integrity experts together to address this problem.
The problems of post retraction citation - and mitigation strategies that wor...jodischneider
Presentation for the Bibliometrics & Research Assessment Symposium 2020 (bibSymp20) https://www.nihlibrary.nih.gov/services/bibliometrics/bibSymp20
October 9, 2020
Retraction is intended to remove articles from the citable literature. However, a series of studies from over 30 years, from 1990 through 2020, have found that many retracted papers continue to be cited, and cited positively, even following misconduct-related retractions. For instance, a fraudulent clinical trial report retracted in 2008 continues to receive citations in 2020, and 96% of post-retraction citations do not mention its citation - perhaps because its retraction not marked on the publisher website and its retraction notice cannot be readily retrieved from 7 out of 8 databases (8 out of 9 database records) we tested. This talk draws an ongoing systematic mapping study of research about retraction and our own research projects to summarize what is known about post-retraction citation in biomedicine. We outline practical steps that authors and reviewers can take to avoid being caught out by poorly marked retracted papers.
20 minutes including Q&A
Towards knowledge maintenance in scientific digital libraries with the keysto...jodischneider
JCDL2020 full paper.
Abstract:
Scientific digital libraries speed dissemination of scientific publications, but also the propagation of invalid or unreliable knowledge. Although many papers with known validity problems are highly cited, no auditing process is currently available to determine whether a citing paper’s findings fundamentally depend on invalid or unreliable knowledge. To address this, we introduce a new framework, the keystone framework, designed to identify when and how citing unreliable findings impacts a paper, using argumentation theory and citation context analysis. Through two pilot case studies, we demonstrate how the keystone framework can be applied to knowledge maintenance tasks for digital libraries, including addressing citations of a non-reproducible paper and identifying statements most needing validation in a high-impact paper. We identify roles for librarians, database maintainers, knowledge base curators, and research software engineers in applying the framework to scientific digital libraries.
doi:10.1145/3383583.3398514
Preprint: http://jodischneider.com/pubs/jcdl2020.pdf
Methods Pyramids as an Organizing Structure for Evidence-Based Medicine--SIGC...jodischneider
Keynote talk 2020-08-01 for the JCDL Workshop on Conceptual Models: https://sig-cm.github.io/news/JCDL-2020-CFP/
Discussion points:
* Methods are a key part of the Knowledge Organizing Structure for Evidence-Based Medicine.
* Methods relate to how we GENERATE evidence.
* Different methods generate evidence of different kinds and strength.
* I believe Methods can be useful in mining claims and arguments from papers: methods AUTHORIZE claims.
* More specialized hierarchies of evidence can be found in medicine
* Various groups are complicating the “evidence pyramid” hierarchy of evidence.
Annotation examples. This is an overview of some of the software I have used for annotation (and a few extra features some of this software has.) This was presented in the SwissUniversities Doctoral Programme, Language & Cognition, in the Module: Linguistic and corpus perspectives on argumentative discourse.
Screenshots are given of GATE, UAM Corpus Tool, Excel, BRAT, EPPI Reviewer, and a custom tool. In most cases there are references to one of my papers for further details.
I briefly describe a typical annotation process:
Find text of interest
Find phenomena of interest
Draft an annotation manual
Iteratively test annotation & revise manual
Find questionable annotations, check disagreements.
Revise the manual.
Iterate.
Annotate
Argumentation mining--an introduction for linguists--Fribourg--2019-09-02jodischneider
An introduction to argumentation mining for PhD students. This was presented in the SwissUniversities Doctoral Programme, Language & Cognition, in the Module: Linguistic and corpus perspectives on argumentative discourse. The presentation largely follows Chapters 1-4 and Chapter 10 of my book, Argumentation Mining, co-authored with Manfred Stede in the Synthesis Lectures on Human Language Technologies from Morgan & Claypool: https://doi.org/10.2200/S00883ED1V01Y201811HLT040
Topics:
My book w/computational linguist Manfred Stede: Argumentation Mining
What is argumentation?
Argumentation mining: a first look
Argumentative language
Challenges for argumentation mining
Argumentation structures
Corpus annotation
Why study argumentation mining?
Beyond Randomized Clinical Trials: emerging innovations in reasoning about he...jodischneider
Talk at the 3rd European Conference on Argumentation
ABSTRACT: Specialized fields may at any time invent new inference rules—that is, new warrants—to improve on their stock of resources for drawing and defending conclusions. Yet disagreement over the acceptability of an invented warrant can always be re-opened. Randomized Clinical Trial is widely regarded as the gold standard for making inferences about causal relationships between medical treatments and patient outcomes. Once controversial, RCT achieved broad acceptance within the field as a result of warrant-establishing arguments circulating in the medical literature starting in the 1950s. And RCT has accumulated a very impressive track record of generating new conclusions that withstand critical scrutiny.
Here we look at two emerging innovations whose purpose is to support reasoning about health, offering ways to generate different classes of conclusions. These innovations could be seen as complementary to RCTs, but for both there are also hints of challenge to the enormous prestige of RCTs. We see this most particularly in the gap that has developed between the RCT-generated fact base and the decisions doctors and health policy officials have to make about treatments for patients. We’ve mentioned before that specialized inference methods that become stabilized within an expert community can meet unexpected challenges when they become components of reasoning by other communities. The two innovations considered here each allow us to explore the tensions that arise from the contrasting perspectives of scientists, clinicians, and patients.
Publishers are caretakers of science. Part of that work is maintaining the integrity of scientific literature. Science builds directly upon past work, so we need to be sure that we are building upon a solid foundation and not faulty research. Publishers need to take an active role in monitoring and tracking faulty, retracted research and its influence. I'm asking publishers to (1) clearly mark retracted papers; (2) alert authors who have already cited a retracted paper; and (3) before publishing an article, check its bibliography for retracted papers.
Retracted papers should be clearly marked everywhere they appear, but today that is not the case. Publishers can also use the CrossRef CrossMark service, which lets readers check for article updates (such as retraction) from a little red ribbon at the top of an article. Checking for citations to retracted articles, and limiting future citations, can help science self-correct by shoring up its foundations.
The structure of citation networks provides evidence about how scientific information is diffused. Problematic citation patterns include the selective citation of positive findings, citation bias, as well as the continued citation of retracted literature (i.e. literature formally withdrawn due to error, fraud, or ethical problems). For instance, there is some evidence that positive results tend to receive more citations. The public domain licensing of the Open Citations Corpus makes it possible, in principle, to estimate the likelihood that any network of research papers suffers from problematic citation. To-date, problematic citation been documented ad-hoc, in several striking studies. In Alzheimer's disease research, biased citation, ignoring critical findings, was used to support successful U.S. NIH grant proposals (Greenberg 2009). Mistranslation of obesity research has been used to justify exertion game research (Marshall & Linehan 2017). Citation of fraudulent research about Chronic Obstructive Pulmonary Disease continued after its retraction (Fulton et al. 2015). The data resulting from such studies is of great use to my lab in replicating and determining how to generalize the detection of problematic citation patterns. Previously, the detection of problematic citation patterns has been a side effect of astute researchers, noticing suspicious findings while conducting systematic literature reviews. This talk will describe work-in-progress in my lab detecting problematic citation patterns using natural language processing, combined with network analysis on the Open Citations Corpus.
Modeling Alzheimer’s Disease research claims, evidence, and arguments from a ...jodischneider
Presentation: Jodi Schneider and Novejot Sandhu, “Modeling Alzheimer’s Disease Reseach Claims, Evidence, and Arguments from a Biology Research Paper.” 9th International Conference on Argumentation, International Society for the Society of Argumentation, Amsterdam, Netherlands, July 5, 2018
Abstract: Argument visualization may help make research papers easier to understand, which could both speed quality assessment within a discipline and help build interdisciplinary knowledge networks. This paper presents a case study of the arguments in a single high-profile paper on Alzheimer's disease research. Within this one paper, we analyze and hand-annotate the main claim, which is supported by 4 subclaims, in turn supported by data, methods, and materials. We also investigate how the paper imports and uses knowledge claims from other research papers. We create a specialized argument-based knowledge representation called a micropublication. In future work, we will investigate automatic argumentation mining for experimental biology research papers. Our long-term vision is to create literature-scale claim-argument networks that help more quickly use new knowledge about human health.
Innovations in reasoning about health: the case of the Randomized Clinical Tr...jodischneider
Presentation: Jodi Schneider and Sally Jackson, “Innovations in Reasoning About Health: The Case of the Randomized Clinical Trial.” 9th International Conference on Argumentation, International Society for the Society of Argumentation, Amsterdam, Netherlands, July 5, 2018
Abstract: Field-dependence in argumentation comes about through forms of inference invented by specialized fields. In recent work we introduced the concept of a "warranting device": (1) an inference license (2) invented for a specialized argumentative purpose and (3) backed by institutional, procedural, and material assurances of the dependability of conclusions generated by the device. Once established, fields employ such devices across many situations without further defense, even as the devices develop in response to newly-noticed problems.
Many new warranting devices have appeared over the past century to solve problems in reasoning about health and medicine, replacing and obsolescing earlier forms of medical reasoning. One such device is the Randomized Controlled Trial. This case study traces its historical evolution and discusses some current movements toward competing device types.
Rhetorical moves and audience considerations in the discussion sections of ra...jodischneider
European Conference on Argumentation talk
Jodi Schneider, Graciela Rosemblat, Shabnam Tafreshi and Halil Kilicoglu “Rhetorical moves and audience considerations in the discussion sections of Randomized Controlled Trials of health interventions” [Conference Panel Presentation], 2nd European Conference on Argumentation: Argumentation and Inference, Fribourg, Switzerland, June 20-23
1 of 3 talks in Jodi Schneider and Sally Jackson, organizers, “Innovations in Reasoning and Arguing about Health ”[Conference Panel], 2nd European Conference on Argumentation: Argumentation and Inference, Fribourg, Switzerland, June 20-23.
Citation practices and the construction of scientific fact--ECA-facts-preconf...jodischneider
Citation practices and the construction of scientific fact. Presentation at the European Conference on Argumentation preconference on status, relevance, and authority of facts.
What WikiCite can learn from biomedical citation networks--Wikicite2017--2017...jodischneider
This is a quick, high-level tour of some ideas from evidence-based medicine, citation-related ontologies for argumentation and evidence curation and biomedicine.
Medication safety as a use case for argumentation mining, Dagstuhl seminar 16...jodischneider
Medication safety as a use case for argumentation mining
We present a use case for argumentation mining, from biomedical informatics, specifically from medication safety. Tens of thousands of preventable medical errors occur in the U.S. each year, due to limitations in the information available to clinicians. Current knowledge sources about potential drug-drug interactions (PDDIs) often fail to provide essential management recommendations and differ significantly in their coverage, accuracy, and agreement. The Drug Interaction Knowledge Base Project (Boyce, 2006-present; dikb.org) is addressing this problem.
Our current work is using knowledge representations and human annotation in order to represent clinically-relevant claims and evidence. Our data model incorporates an existing argumentation-focused ontology, the Micropublications Ontology. Further, to describe more specific information, such as the types of studies that allow inference of a particular type of claim, we are developing an evidence-focused ontology called DIDEO--Drug-drug Interaction and Drug-drug Interaction Evidence Ontology. On the curation side, we will describe how our research team is hand-extracting knowledge claims and evidence from the primary research literature, case reports, and FDA-approved drug labels for 65 drugs.
We think that medication safety could be an important domain for applying automatic argumentation mining in the future. In discussions at Dagstuhl, we would like to investigate how current argumentation mining techniques might be used to scale up this work. We can also discuss possible implications for representing evidence from other biomedical domains.
Talk for Dagstuhl Seminar 16161: Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments
http://www.dagstuhl.de/en/program/calendar/semhp/?semnr=16161
Acquiring and representing drug-drug interaction knowledge and evidence, Litm...jodischneider
Presentation to Diane Litman's lab at the University of Pittsburgh about modeling and acquiring evidence for the Drug Interaction Knowledge Base (DIKB) project.
Persons, documents, models: organising and structuring information for the We...jodischneider
A talk for the Moore Institute for Humanities -
People and documents are of enduring interest. Documents may be generated by individuals, collective groups, and administrations, on any number of topics. We are particularly interested in the relationships between people and documents. The most important relationships are creation (authors, illustrators, translators, ...), usage (e.g. association copies), and topic-of (e.g. people may be the subjects of biographies).
In this lecture, we will talk about several approaches for modeling, or representing, people and documents. We pay particular attention to computer-based approaches to organization, and to organizing information for websites. We will talk briefly about TEI and XML, and the focus on my area of research expertise: modeling "linked data", a widely adopted approach for interlinking data. Adopted by the UK and US governments and search engines such as Google and Yahoo!, linked data has also been widely used in the digital humanities and by libraries, archives, and museums. It consists in naming objects of interest (be they authors, documents, or whatnot) and using standard data formats to enable interlinking.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t 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 clients’ 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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
2. What I’m looking for
Digital Enterprise Research Institute www.deri.ie
Scoping & focus
Detailed mentoring on CSCW/HCC methodologies
Interviewing
Qualitative Research
Statistics
Suggestions for evaluating my work
2
4. Should we delete this article?
Digital Enterprise Research Institute www.deri.ie
4
5. Improving deletion discussions
Digital Enterprise Research Institute www.deri.ie
Main problems:
Newcomers who don’t know how to argue
Overwhelm of long discussions
Discussions that happen over and over again
Deletion as quality control
Large number of discussions - ~500/week
5
6. Deletion argument
Digital Enterprise Research Institute www.deri.ie
[Delete the article]...hasn't
played since 2008. His
66-73 record is far from
stellar and, in my opinion,
does not merit an article.
>>He pitched last month and
plays for the Venezuelan
League. This meets our
article criteria.
6
7. Goals
Digital Enterprise Research Institute www.deri.ie
Newcomers who don’t know how to argue
Characterize the “good” and “bad” arguments
Develop argument templates
Provide guidance and support for new users in properly
structuring arguments according to Wikipedia’s rhetorical
standards
Overwhelm of long discussions
Develop a claims/argument explorer
Discussions that happen over and over again
Prototype an argument bot
Populate argument maps with mixed-initiative claims
extraction
7
8. Overview
Digital Enterprise Research Institute www.deri.ie
Corpus:
All Wikipedia deletion discussions from January 29, 2011
Perspectives/approaches:
Argumentation
CSCW/HCC
Text analytics
Ontologies/Social Semantic Web
8
9. Current work
Digital Enterprise Research Institute www.deri.ie
Analysis of the corpus
Argument schemes (e.g. expert opinion)
Factors (e.g. notability, uniqueness)
Newcomer’s arguments
Interviews
Administrators
Experienced users
Argument exploration
Text mining cue words (‘however’, ‘therefore’,…)
Architecture
Ontology development
“Standpoints Web”
9
10. Standpoint
Digital Enterprise Research Institute www.deri.ie
[Delete the article]...hasn't
played since 2008. His
66-73 record is far from
stellar and, in my opinion,
does not merit an article.
Proposition: does not merit
an article
Justification: hasn’t played
since 2008, bad record
10
11. Opposing standpoint
Digital Enterprise Research Institute www.deri.ie
>>He pitched last month and
plays for the Venezuelan
League. This meets our
article criteria.
Proposition: keep the article
Justification: meets our article
criteria
11
12.
13. Possible applications
Digital Enterprise Research Institute www.deri.ie
Visualize decision-making
Highlight controversies
Query opinions and arguments
Discuss arguments interactively with a bot
Calculate the “best” options
Analyze, extract, and represent disagreement
13
15. Acknowledgments
Digital Enterprise Research Institute www.deri.ie
Thanks to our collaborators!
Katie Atkinson, Trevor Bench-Capon, Adam Wyner (Liverpool)
DERI Social Software Unit
Rhetorical Structure, W3C Health Care and Life Sciences
Funding
Science Foundation Ireland Grant No. SFI/08/CE/I1380
(Líon-2)
Short-term scientific mission (STSM 1868) from the COST
Action ICO801 on Agreement Technologies
15
17. “ELIZA for arguments”
Digital Enterprise Research Institute www.deri.ie
Snaith, Lawrence, & Reed, “Mixed initiative argument in public deliberation,” ODET 2010
17
18. Highlight Controversies
Digital Enterprise Research Institute www.deri.ie
Ennals, R., Trushkowsky, B., & Agosta, J. M. (2010). Highlighting Disputed
Claims on the Web. In WICOW at WWW 2010.
19. Transform Debates into
Argument Frameworks
Digital Enterprise Research Institute www.deri.ie
(1) Households should pay tax for
their garbage.
(4) (1)
Paying tax for garbage increases
recycling, so households should Arrow: premise
pay.
(3) (1)
Wyner, van Engers, & Bahreini.
Recycling more is good, so people From Policy-making Statements
to First-order Logic.
should pay tax for their garbage. EGOV 2010
19
20. Calculate best options
(non-contradictory opinions)
Digital Enterprise Research Institute www.deri.ie
Wyner, van Engers, & Bahreini.
From Policy-making Statements to First-order Logic.
EGOV 2010
20
21. Claims Extraction
Digital Enterprise Research Institute www.deri.ie
Cue words (“Hence Jaffa Cakes are cakes.”) [Marcu]
Rhetorical Structure Theory
25. Case Study
Digital Enterprise Research Institute www.deri.ie
Understand:
interviews, observation, and content analysis
Intervene:
Implement & test the Standpoints Web architecture
on Wikipedia deletion discussions
Evaluation:
Community feedback
Ontology fitness-for-purpose
Precision & recall?
25
26. Digital Enterprise Research Institute www.deri.ie
Problem
Possible Uses of a Knowledge Representation
Concrete Examples
Some Current Directions
26
27. The Problem
Digital Enterprise Research Institute www.deri.ie
The Web is full of opinions & commentary.
A lot of it disagrees.
How do we learn from other people, when they
disagree?
27
28. My Approach
Digital Enterprise Research Institute www.deri.ie
Identify peoples’ views
Collect the explanations people give
Create a hypertext web of these views & explanations
28
34. Purpose-related keywords
Digital Enterprise Research Institute www.deri.ie
Knowledge
statistics
Values
truth
secret
Rhetoric
you can thank
Judgment/Opinion
eradicate
tough
rejecting
34
35. Purpose matters
Digital Enterprise Research Institute www.deri.ie
Knowledge-oriented discussions are straightforward
to reuse
Opinion-oriented discussion types may require
caveating or balancing
emotion makes a discussion more interesting
can also indicate the potential for bias.
35
36. Twitter: Standpoint
Digital Enterprise Research Institute www.deri.ie
Difference between cakes and biscuits? When stale,
cakes go hard, biscuits go soft. Hence Jaffa Cakes
are cakes. (Was official EU ruling).
View: Jaffa Cakes are cakes
Justification: official EU ruling; go hard when stale
36
Mixed-initiative Generate argument maps from conversations (Arvina, MAgtALO) Populate a knowledge base Maybe change your views
They don’t say how they extracted these – but they say Someone makes statement (1) Someone else gives (4) as a reason/premise for (1) Someone else gives (3) as an additional reason for (1) (2) Is a counterproposal with a range of supporting reasons === Icons: http://findicons.com/icon/27954/girl_5?id=27964# http://findicons.com/icon/27930/boy_8?id=27939# http://findicons.com/icon/27955/girl_4?id=27965#
Maximal consistent sets
detect the prevalence of knowledge, emotion, and values as a first approximation to the purpose. High sentiment and low sentiment messages can be found through sen- timent analysis [21], which we also use as a first indication of whether people agree and how strongly their views are expressed. Values are abstract qualities such as utility, beauty, respect, and patriotism; these can be found with gazetteers. Knowledge-based discussions often cite statistics, experts, and studies, which can be text-mined; they may also commonly use argumentation schemes such as expert opinion.
Detecting the purpose of the discussion… Using keywords and rhetorical analysis Provides context