Podcasts about infovis

Sheelagh Carpendale is Professor in the Department of Computer Science at the University of Calgary, where she leads the Innovations in Visualization (InnoVis) research group.

Hi everyone! We have designer and activist Mushon Zer-Aviv on the show today. Mushon is an NYU ITP graduate and instructor at Shenkar University, Israel. mushon_bw-pic_2015He wrote the very interesting Disinformation Visualization piece for Tactical Tech's Visualizing Information for Advocacy and we decided to invite him to discuss the million different facets of disinformation through visualization. Is data and data visualization bringing some truth or should it always be considered an argument? Is there a way we can mitigate or even prevent disinformation? What strategies can designers use to make their opinions more apparent? These are some of the questions we discuss on the show. And don't miss the part on "data obfuscation," that is, how to use disinformation to increase our privacy! Enjoy this thought-provoking show! This episode is sponsored by Tableau Software, helping people connect to any kind of data, and visualize it on the fly - You can download a free trial at http://tableau.com/datastories – check the new Tableau 9! LINKS Mushon Zer-Aviv - http://mushon.com Shual Design Studio - http://shual.com Eyebeam / ShiftSpace - http://eyebeam.org Mushon’s Article: Disinformation visualization - How To Lie With Data Visualization Enrico et al.’s papers on vis persuasion and deception: How Deceptive are Deceptive Visualizations?: An Empirical Analysis of Common Distortion Techniques. A. V. Pandey, K. Rall, M. Sattarthwaite, O. Nov, E. Bertini. Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2015. The Persuasive Power of Data Visualization. A. V. Pandey, O. Nov, A. Manivannan, M. Satterthwaite, and E. Bertini. IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2211 - 2220, 2014. Encoding / Decoding Model of Communication (wikipedia page) Edward Tufte’s Book: Beautiful Evidence Weinberger’s Book: Too Big To Know ISVIS http://www.isvisshenkar.org/ (israeli data visualization conference) Visualizing the Israeli Budget - oBudget.org AdNauseam - http://adnauseam.io (data obfuscation tool) Floodwatch - https://floodwatch.o-c-r.org (privacy vis tool from OCR) Columbia Professor Laura Kurgan NYU Professor Helen Nissenbaum Artist and Researcher Daniel C. Howe

Episode 10 In this episode, Jay & Bob have a community discussion with John Langton & Alex Baker about their security data analysis & visualization startup: VisiTrend, and take a look at what's made the headlines in the data science community since last show. Resources / people featured in the show: VisiTrend - visitrend (twitter) Data science can't be point and click In-depth introduction to machine learning in 15 hours of expert videos Data Playlists Running RStudio via Docker in the Cloud Building a DGA Classsifier (in R) - Part 1 Building a DGA Classsifier (in R) - Part 2 Building a DGA Classsifier (in R) - Part 3 Link Insights from VisiTrend VERIS/VCDB general vis - we have a tree map version of the actors, actions, assets, and attributes breakdown which better shows the distribution of events (description on snapshot). Snapshot - can be posted and viewed without logging in Actual analysis and data you can load after signing up and logging in VERIS/VCDB clustering - each square is an event in the data set. Squares are first grouped based on # of employees (e.g. companies with 1k employees will be grouped together), and then based on industry. Squares are colored based on clustering output - we found 7 clusters. We will provide more detail on what defines these clusters in a blog post. It’s interesting to see that particular industries do have particular attack types according to clustering, shown by blocks of similar color. Snapshot - Actual analysis and data Honeypot overview - this is really cool (I think). Black, square nodes are the honey pots. Node size is based on the # of packets they’re sending. Computers use more different ports are colored red (big red guy doing massive port scan drowns out the others). The force directed layout clusters nodes if they hit the same honeypots. For instance, click a node in an “outer ring” twice to highlight the honeypot it’s hitting, and it will be one. All other nodes in that ring hit the same one. Double click one of the center nodes and you’ll se they’re hitting all of the honeypots. Treemap groups nodes according to subnet addressing. The timeline view shows time-based histogram of packets coming in colored by destination port. The red guy is selected in the snapshot, so you can see that he blasts all the honey pots at relatively same time. Snapshot - Actual analysis and data Honeypot port highlighting - Square nodes are attackers, and circle nodes are ports. Size of the port is how many times packets were sent to that port. Mouse over big purple circle and you see port 1433 is the most popular. You could double click it to see all machines hitting that port. There are two color layers for the node-link graph, you can toggle between them. They both show a version of variability over time (more red = more variable port usage). Treemap shows subnet addressing again but colors a green heat map based on # of diff ports each machine uses. Size based on # of packets they send. Snapshot - Actual analysis and data Finally, a great mentor and visionary pioneer of InfoVis named Matt Ward passed away last weekend. He wrote the most recent, comprehensive infovis book with some other really big guys in the field including Keim and Grinnel. Link to the book.

This week, Dave and Gunnar talk about Pudding ‘n Airplanes, Penguins ‘n Space, Parkinson’s ‘n Chickens, Printing ‘n 3D, and IMAP. Subscribe via RSS or iTunes. Lauren can’t stop watching Bohemian Gravity Lots of Twitter folks getting compromised. Do you have login verification enabled? HT Matt Micene: Court: Facebook ‘Like’ Is Protected By the First Amendment HT Mark Bohannon: Penguins in Space! Asteroid mining and Linux Travel hack of the week: Engineer earned 1.25M airline miles by buying $2,200 of pudding PT Anderson is vindicated Barry and Lavon are delighted Let’s talk about elastic demand curves A Spoon Full Of Sensors To Help Parkinson’s Patients Feed Themselves Chicken Head Tracking Vestibulo-ocular reflex Mercedes-Benz cars apparently handle like a chicken Chicken Powered Steadicam Cleveland Clinic deep brain stimulation SCI Run GitHub Adds 3D Modeling Features That Make It A Printer-Agnostic Choice For Object Sharing Gunnar likes Vehicle Forge Blackberry sold for $5B The decline of BlackBerry in one chart Outlook.com now has IMAP Save time by letting TripIt read your email Related: LinkedIn denies harvesting user email accounts without permission HT Phil Shapiro: Geek Gurl Diaries Use Scratch and a Makey Makey to play sounds through a Raspberry Pi using marshmallows Taste of Red Hat Training: Install, configure, and deploy in Red Hat Enterprise Linux OpenStack Platform Gunnar presenting at postponed NIST Cloud Computing and Mobility workshop Dave as panelist at Symantec Government Symposium on October 2 Gartner ITxpo on October 6-10 Lauren at Akron Mini Maker Faire on November 2 Red Hat Government Symposium on November 6 registration now open! OpenShift for Citizen Engagement Reproducible Builds for Fedora Bonus links: Trusting Trust from Dr. David A. Wheeler’s PhD thesis and video of him defending it How to run vulnerability scan on Red Hat Enterprise Linux using OVAL and OpenSCAP A partner we like: DotCloud Pivots And Wins Big With Docker, The Cloud Service Now Part Of Red Hat OpenShift Watch Australians Explain How to Do an Australian Accent The United States has more libraries than McDonalds and Starbucks What Did Barney Rubble Do for a Living? Cutting Room Floor Neil deGrasse Tyson is an extraordinary gift to all of us Ernest Hemingway’s Favorite Hamburger Recipe Stevie Wonder plays “Superstition” on Sesame Street in 1973 9 Muppets Kicked Off Sesame Street Unlocking an iPhone 5S with a cat’s paw Jaws text adventure Excel based Turing Machine 103 year old car phone Infovis: 92 Years of Bigfoot Sightings in the US and Canada NASA Will Pay $18,000 To Watch You Rest In Bed–Really How To Order A Drink When Your Bartender Is A Robot Lily Collins is McAfee’s Most Dangerous Celebrity™ for 2013 We Give Thanks A constitutionally protected tumbs up to Matt Micene Mark Bohannon for reminding us to consider open source software when doing asteroid mining Phil Shapiro for telling us about Geek Gurl Diaries The Akron Library for hosting the Akron Mini Maker Faire, writing a nice article about Lauren, and inspiring folks to be Makers!

Analyzing, understanding and working with complex systems and large datasets has become a familiar challenge in the information era. The explosion of data worldwide affects nearly every part of society, particularly the science, engineering, health, and financial domains. Looking, for instance at the automotive industry, engineers are confronted with the enormously increased complexity of vehicle electronics. Over the years, a large number of advanced functions, such as ACC (adaptive cruise control), rear seat entertainment systems or automatic start/stop engines, has been integrated into the vehicle. Thereby, the functions have been more and more distributed over the vehicle, leading to the introduction of several communication networks. Overlooking all relevant data facets, understanding dependencies, analyzing the flow of messages and tracking down problems in these networks has become a major challenge for automotive engineers. Promising approaches to overcome information overload and to provide insight into complex data are Information Visualization (InfoVis) and Visual Analytics (VA). Over the last decades, these research communities spent much effort on developing new methods to help users obtain insight into complex data. However, few of these solutions have yet reached end users, and moving research into practice remains one of the great challenges in visual data analysis. This situation is particularly true for large company settings, where very little is known about additional challenges, obstacles and requirements in InfoVis/VA development and evaluation. Users have to be better integrated into our research processes in terms of adequate requirements analysis, understanding practices and challenges, developing well-directed, user-centered technologies and evaluating their value within a realistic context. This dissertation explores a novel InfoVis/VA application area, namely in-car communication networks, and demonstrates how information visualization methods and techniques can help engineers to work with and better understand these networks. Based on a three-year internship with a large automotive company and the close cooperation with domain experts, I grounded a profound understanding of specific challenges, requirements and obstacles for InfoVis/VA application in this area and learned that “designing with not for the people” is highly important for successful solutions. The three main contributions of this dissertation are: (1) An empirical analysis of current working practices of automotive engineers and the derivation of specific design requirements for InfoVis/VA tools; (2) the successful application and evaluation of nine prototypes, including the deployment of five systems; and (3) based on the three-year experience, a set of recommendations for developing and evaluating InfoVis systems in large company settings. I present ethnographic studies with more than 150 automotive engineers. These studies helped us to understand currently used tools, the underlying data, tasks as well as user groups and to categorize the field into application sub-domains. Based on these findings, we propose implications and recommendations for designing tools to support current practices of automotive network engineers with InfoVis/VA technologies. I also present nine InfoVis design studies that we built and evaluated with automotive domain experts and use them to systematically explore the design space of applying InfoVis to in-car communication networks. Each prototype was developed in a user-centered, participatory process, respectively with a focus on a specific sub-domain of target users with specific data and tasks. Experimental results from studies with real users are presented, that show that the visualization prototypes can improve the engineers’ work in terms of working efficiency, better understanding and novel insights. Based on lessons learned from repeatedly designing and evaluating our tools together with domain experts at a large automotive company, I discuss challenges and present recommendations for deploying and evaluating VA/InfoVis tools in large company settings. I hope that these recommendations can guide other InfoVis researchers and practitioners in similar projects by providing them with new insights, such as the necessity for close integration with current tools and given processes, distributed knowledge and high degree of specialization, and the importance of addressing prevailing mental models and time restrictions. In general, I think that large company settings are a promising and fruitful field for novel InfoVis applications and expect our recommendations to be useful tools for other researchers and tool designers.

Essa é uma técnica aplicada de Design da Informação, cujo objetivo é tornar uma série de dados abstratos em um padrão reconhecível, mais próximo dos modelos mentais. Apesar de ser uma disciplina bastante complexa e acadêmica, seus conceitos também se aplicam na nossa interação com objetos do dia-a-dia, incluindo as interfaces do computador. Visualização da Informação no dia-a-dia [MP3 - 10' - 1.9MB] Notas livro do norman consciente e inconsciente jogos tem que apresentar certa complexidade nós jogamos inconscientemente, simplificamos - números jogo da velha visualização da informação dados abstratos, sem uma representação óbvia percepção de padrões e relações, estimular o pensamento se estivesse usando slides tufte e powerpoint voltando ao jogo da velha, a técnica de visualização transforma ele numa coisa do dia-a-dia, chata é assim que as coisas de rotina tem que ser, para que concentremos no que realmente importa Mais sobre o assunto: Infovis, artigos periódicos bem acessíveis sobre o assunto e a explicação da lógica da visualização criada pelo setor de pesquisas da IBM para visualizar a edição de páginas da Wikipedia.Comente este post