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Steve King

Technology Review: The Semantic Web Goes Mainstream - 0 views

  • Another technique that Twine uses is graph analysis. This idea, explains Spivack, is similar to the thinking behind the "social graph" that Mark Zuckerberg, the founder of Facebook, extols: connections between people exist in the real world, and online social-networking tools simply collect those connections and make them visible. In the same way, Spivack says, Twine helps make the connections between people and their information more accessible. When data is tagged, it essentially becomes a node in a network. The connections that each node has to other nodes (which could be other data, people, places, organizations, projects, events, et cetera) depend on their tags and the statistical relevance they have to the tags of other nodes. This is how Twine determines relevance when a person searches through his or her information. The farther away a node is, the less relevant it is to a user's search
Steve King

InfoQ: The Science of Learning: Best Approaches for Your Brain - 0 views

  • Do you wonder why people don’t understand the idea you’re trying to get across in a meeting? Are you mentoring another developer and struggling to understand why the still don’t get it? Do you run training courses and wonder why the attendees only learn 10% of the material? We are all teachers whether as informal mentors, coaches, trainers or parents. Yet only professional educators receive training in this area. Nearly two years ago I started reading neuroscience (Norman Doidge’s “The Brain that Changes Itself”), for fun. Along the way I acquired an interest in neuroscience and wondered how its lessons could be applied to Agile Software Development and beyond.
dhtobey Tobey

Evidence-based medicine - Wikipedia, the free encyclopedia - 1 views

  • The systematic review of published research studies is a major method used for evaluating particular treatments. The Cochrane Collaboration is one of the best-known, respected examples of systematic reviews. Like other collections of systematic reviews, it requires authors to provide a detailed and repeatable plan of their literature search and evaluations of the evidence. Once all the best evidence is assessed, treatment is categoried as "likely to be beneficial", "likely to be harmful", or "evidence did not support either benefit or harm".
    • dhtobey Tobey
       
      We need to find access to the Cochrane Collaboration -- this is obviously a large, extant community socializing the vetting of clinical evidence.  We should find out more about their methodology and supporting technology, if any.
  • Evidence-based medicine categorizes different types of clinical evidence and ranks them according to the strength of their freedom from the various biases that beset medical research. For example, the strongest evidence for therapeutic interventions is provided by systematic review of randomized, double-blind, placebo-controlled trials involving a homogeneous patient population and medical condition. In contrast, patient testimonials, case reports, and even expert opinion have little value as proof because of the placebo effect, the biases inherent in observation and reporting of cases, difficulties in ascertaining who is an expert, and more.
    • dhtobey Tobey
       
      Is this ranking an emergent process supported by some type of knowledge exchange platform? What about consensus/dissensus analysis? Seems ripe for groupthink and manipulation or paradigm traps.
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  • This process can be very human-centered, as in a journal club, or highly technical, using computer programs and information techniques such as data mining.
  • Level III: Opinions of respected authorities, based on clinical experience, descriptive studies, or reports of expert committees.
    • dhtobey Tobey
       
      Need for LivingSurvey, LivingPapers, and LivingAnalysis.
  • Despite the differences between systems, the purposes are the same: to guide users of clinical research information about which studies are likely to be most valid. However, the individual studies still require careful critical appraisal.
    • dhtobey Tobey
       
      In other words, there are wide differences of opinion (dissensus) that must be managed and used to inform decision-making.
  • The U.S. Preventive Services Task Force uses:[9] Level A: Good scientific evidence suggests that the benefits of the clinical service substantially outweighs the potential risks. Clinicians should discuss the service with eligible patients. Level B: At least fair scientific evidence suggests that the benefits of the clinical service outweighs the potential risks. Clinicians should discuss the service with eligible patients. Level C: At least fair scientific evidence suggests that there are benefits provided by the clinical service, but the balance between benefits and risks are too close for making general recommendations. Clinicians need not offer it unless there are individual considerations. Level D: At least fair scientific evidence suggests that the risks of the clinical service outweighs potential benefits. Clinicians should not routinely offer the service to asymptomatic patients. Level I: Scientific evidence is lacking, of poor quality, or conflicting, such that the risk versus benefit balance cannot be assessed. Clinicians should help patients understand the uncertainty surrounding the clinical service.
    • dhtobey Tobey
       
      Relates well to Scott's idea of common problem being one of risk management.
  • AUC-ROC The area under the receiver operating characteristic curve (AUC-ROC) reflects the relationship between sensitivity and specificity for a given test. High-quality tests will have an AUC-ROC approaching 1, and high-quality publications about clinical tests will provide information about the AUC-ROC. Cutoff values for positive and negative tests can influence specificity and sensitivity, but they do not affect AUC-ROC.
    • dhtobey Tobey
       
      ROC curves are similar to PPT, though addressing a different and less impactful issue of system sensitivity and specificity, rather than reliability (consistency) as determined by PPT.
dhtobey Tobey

Open Innovation | Innovation Management - 0 views

  •  
    We believe in the power of open innovation, bringing together creative minds to create breakthrough solutions that touch every human life.Founded in 2001, InnoCentive connects companies, academic institutions, public sector and non-profit organizations, all hungry for breakthrough innovation, with a global network of more than 200,000 of the world's brightest minds on the world's first 1Open Innovation Marketplace™.These creative thinkers -- engineers, scientists, inventors, and business people with expertise in life sciences, engineering, chemistry, math, computer science, and entrepreneurship -- join the InnoCentive Solver™ community to solve some of the world's toughest challenges.Seeker™ organizations post their challenges on the InnoCentive web site, and offer registered Solvers significant financial awards for the best solutions. Seeker™ and Solver™ identities are kept completely confidential and secure, and InnoCentive manages the entire IP process.
Steve King

About the iBridge Network - 0 views

  • Today, the iBridgeSM Network provides the centralized online source for research and innovations. While traditional search engines provide a means for looking for information, the iBridgeSM Network provides a public, centralized source for unbiased information about early stage technologies and inventions. Our objective is to drive transparency and access to university developed innovations that are available today as well as to field experts, ideas and information. Through the iBridgeSM Network, researchers and those seeking innovations can easily search for and obtain the resources they need.
dhtobey Tobey

Pentagon: Boost Training With Computer-Troop Mind Meld | Danger Room | Wired.com - 0 views

  • The Pentagon is looking to better train its troops — by scanning their minds as they play video games. Adaptive, mind-reading computer systems have been a work-in-progress among military agencies for at least a decade. In 2000, far-out research agency Darpa launched “Augmented Cognition,” a program that sought to develop computers that used EEG scans to adjust how they displayed information — visually, orally, or otherwise — to avoid overtaxing one realm of a troop’s cognition. The Air Force also took up the idea, by trying to use EEGs to “assess the operator’s actual cognitive state”  and “avoid cognitive bottlenecks before they occur.”
  • Now, the Office of the Secretary of Defense (OSD) is soliciting small business proposals for an even more immersive trainer, one that includes voice-recognition technology, and picks up on vocal tone and facial gestures. The game would then react and adapt to a war-fighter’s every action. For example, if a player’s gesture “insults the local tribal leader,” the trainee would “find that future interactions with the population are more difficult and more hostile.” And, most importantly, the new programs would react to the warrior’s own physiological and neurological cues. They’d be monitored using an EEG, eye tracking, heart and respiration rate, and other physiological markers. Based on the metrics, the game would adapt in difficulty and “keep trainees in an optimal state of learning.”
    • dhtobey Tobey
       
      Could this be an application of the immersive training system being developed at Raytheon? Ironically they use the name "Mind-Meld" in the title of this article. We should get Guilded Skilled Performance copywrighted and trademarked as DARPA seems to be heading in this direction. Could be a source of future grant-related funding.
  • The OSD isn’t ready to use neuro-based systems in the war zone, but the agency does want to capitalize on advances in neuroscience that have assigned meaningful value to intuitive decision-making. As the OSD solicitation points out, troops often need to make fast-paced decisions in high-stress environments, with limited information and context. Well-reasoned, analytic decisions are rarely possible
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  • That’s where neuroscience comes in. OSD wants simulated games that use EEGs to monitor the cognitive patterns of trainees, particularly at what’s thought to be the locus of neurally based, intuitive decision-making — the basal ganglia. In his seminal paper on the neuroscience of intuition, Harvard’s Matthew Lieberman notes that the ganglia can “learn temporal patterns that are predictive of events of significance, regardless of conscious intent … as long as exposure is repeatedly instantiated.”
    • dhtobey Tobey
       
      The basal ganglia is where I hypothesized the command neurons were located which trigger thinkLets -- the source of intuitive decision making according to this research.
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