I've been thinking more about interactive data exploration interfaces lately, and what might be needed to support people who do not have technical or mathematical backgrounds. From time-to-time, I will share information related or somewhat related to this topic.
I came across a link to the Nextgov website in my FB newsfeed and thought I'd bookmark it for future reference. Although the Nextgov is geared for people who work as CIOs in government settings, it contains a lot of interesting food for thought if you happen to be a knowledge junkie or just want to be a a well-informed citizen.
Below is a quote from "About Nextgov" page of the website: "Nextgov is the all-day information resource for federal technology decision makers. Through news, analysis and insights from our award-winning journalists and a nationwide community of expert voices, Nextgov provides the first word on technology and government."
"Nextgov’s editorial mission is to lead the national discussion about how technology and innovation are transforming the way government agencies serve citizens and perform vital functions. Central to this mission is the exploration of emerging technologies and their potential impact on government. Nextgov contributors include influential thinkers across government, academia and the private sector providing fresh and provocative insights on key federal IT topics."
Nextgov is produced by Government Executive Media Group...."
FYI: The above document was prepared by Marie Bienkowski, Mingyou Feng, and Barbara Means, under the guidance of Karen Cator and Bernadette Adams. A number of experts were interviewed for the report, including Shelby Andrews, Linda Chaput, Michael Freed, Dror Oren, Dave Gutelius, Michael Jahrer, Andreas Toescher, Jeff Murphy, Peter Norvig, Sunil Noronha, Ken Rudin, Steve Ritter, Bror Saxberg, David Niemi, and Chuck Severence. Others cited in the document include Ryan S.J. d. Baker, Gautam Biswas, John Campbell, Gredg Chung, Alfred Kobsa, Kenneth Koedinger, George Siemens, and Stephanie Teasly
I came across the Digging Into Data Challenge website today and thought it might be of interest to IMT readers. Below is a description of the project, a few related links, and an abbreviated list of links to a wide range of data repositories on the web.
ABOUT
"Welcome to the second round of the Digging into Data Challenge. During the first round, in 2009, nearly 90 international research teams competed in the challenge. Ultimately, eight remarkable projects were awarded grants."
"In 2011, the Digging into Data Challenge has returned for a second round, this time much larger, with sponsorship from eight international research funders, representing Canada, the Netherlands, the United Kingdom, and the United States."
"What is the "challenge" we speak of? The idea behind the Digging into Data Challenge is to address how "big data" changes the research landscape for the humanities and social sciences. Now that we have massive databases of materials used by scholars in the humanities and social sciences -- ranging from digitized books, newspapers, and music to transactional data like web searches, sensor data or cell phone records -- what new, computationally-based research methods might we apply? As the world becomes increasingly digital, new techniques will be needed to search, analyze, and understand these everyday materials. Digging into Data challenges the research community to help create the new research infrastructure for 21st century scholarship."
"Applicants will form international teams from at least two of the participating countries. Winning teams will receive grants from two or more of the funding agencies and, two years later, will be invited to show off their work at a special conference sponsored by the eight funders."
Be sure to visit the Digging Into Data Challenge data repository page. Each repository is annotated in detail and includes links and in some cases, APIs. The page is updated regularly, and at the time of this post, was updated on May 26, 2011. For your convenience, here's the abbreviated version of the Digging Into Data Challenge list of repositories:
Just a thought.... I'd be interested in learning if any of the researchers involved in the Digging Into Data Challenge plan to work on an interactive, multidimensional, multimedia timeline to support collaborative data sharing and analysis.
AR FOR THE LIBRARY (Supports productivity for librarians) The article below discusses an Android-based app developed by Miami Unversity's Augmented Reality Research Group: Awesome Augmented Reality App Could Save Librarians HoursAudrey Watters, ReadWriteWeb, 3/27/11 In the related video, Dr. Bo Brinkman (Miami University-Ohio) demonstrates the prototype AR app using a Samsung Galaxy Tab:
Although there are probably more creative ways to use AR in libraries, this application is a start!
INTERACTIVE PRESENTATION APP Make musical slideshows in minutes - switch accessible too!Barbara Landsberb, Spectronics Blog, 12/17/10 Slideshow Maker was designed to work on a range of displays, including touch screens. It it easy to use. Slideshow Maker Manual (1.8 MB) Note: SlideshowMaker was not yet available in the US at the time of the above post. If I find a video about Slideshow Maker, I will post it here.
HEALTH CARE The article below is a must-read for anyone thinking about developing applications for health care professionals, clinics, hospitals, patients, etc. In my opinion, it is very important to look at the "Big Picture", especially for techies who are responsible for information architecture in this field. For the Future of Health Care Design, Look Beyond the HospitalFast Company Design, 3/25/11 "Here, Jean Mah and Robin Guenther, two health-care design experts at architecture firm Perkins + Will, look at what the future holds for our health care systems." -Ed. (Fast Company)
BIG DATA In the article below, the topic of "Big Data" is addressed. Low power computing solutions are needed in order to handle the number-crunching and information visualization tasks necessary for humans to understand and effectively make use of "Big Data".
Lamantia's article discusses the thoughts of Nicole Lazzaro, a games researcher and design consultant, who suggests that there are four kinds of fun, as outlined in the chart below: --XEO Design Inc.
(The references for Lamantia's article are worth taking a look.)
"Jeremy Yuille and Hugh Macdonald are interaction design researchers with ACID at RMIT University. They research the effects of social media on different industries, ranging from sport to finance."
The Future is Touchable "Jeroen van Geel is founder of Johnny Holland and a senior interaction designer. He works part-time for Fabrique Communication & Design and the other part for his own clients."
When I return to graduate school (hopefully I'll have the means to attend full-time), I want to flesh out my ideas for a "interactive multi-dimensional multi-media multi-user timeline" for use on interactive multi-touch/gesture tables and displays. Although I've limited my work to a prototype of a template, I know that this concept won't work unless the application can incorporate an efficient means of handling large volumes of data, as well as data in various formats.
I want this template to be useful to people in a variety of contexts, such as students studying world history and humanities, education administrators looking at educational data over time, producers and viewers of interactive documentary programs (think interactive TV), the health industry, urban planners, the military, serious games, etc.
One of my stumbling blocks is how all of the data would be stored and analysed. What I learned a few years ago in my computer classes simply won't work.
So now what?! I think that Roger Magoulas, the director of research at O'Reilly, has some good things to say about the critical problem of handling what he calls "Big Data". Here are a few videos that I think are worth watching.
The Future of Work
Part One
Next Device (SmartPhones, netbooks, creation & consumption factors - supporting usability in multiple contexts)
You Tube Series: O'Reilly Media
Big Data: Technologies & Techniques for Large-Scale Data (Emphasis on experimental approach) Part I
Part II (Discusses new forms of databases and the user of parallel processors to handle Big Data)
Part III Key Technology Dimensions
Part IV, Focus on hardware- Solid state disks, new data structure called "triadic continuum" which handles real-time data and ongoing probability estimates of data.
I would be happy to hear from anyone who is working on a project similar to the one I'm working on as a "hobby".
RELATED
Triadic Continuum "Phaneron, KStore, Knowledge store, or simply K, is a dynamic data model that is based on the cognitive theory of C. S. Peirce. Phaneron efficiently organizes data into a unique, compact, interconnected, and fully-related data model. Phaneron is constructed using the Triadic Continuum."
For those of you who like visual representations of geeky-techy concepts, here a few visuals and related descriptions of KStore fundamentals from the Triadic Continuum website:
"The KStore data model is constructed using the basic triad. For example, the event sequence 'cat' would be recorded as shown in 'a sequence' below. A new level of nodes is created above a lower level of nodes as a result of the triadic process. In this case the lower level of nodes contains a node for each character of the alpha-numeric character set and the new nodes reference the lower level nodes to record the sequence 'cat'. Each sequence is initialize with a reference to a BOT (beginning of thought) and terminated with an EOT (end of thought) reference."
"The data set above was used to create the K structure below with the lowest level that contains the alpha-numeric character set, the second level is created to record sequences that represent the field variables. Then a third level is created using the field variables of the second level to record the record sequences. Records recorded in this K structure reuse the field variable nodes so that these field variable sequences never have to be recorded more than once. This is just one of the attributes of a K structure that makes it very efficient." -Triadic-conintuum.com
Personal Note: Due to the economic downturn and its impact on my family (two kids in college), I returned to work full time in mid 2008. I have a very busy day job as a school psychologist, working at two high schools as well as a program for students with multiple, severe disabilities, including autism. This has limited my ability to work on my project.