Lego Serious Play at CERN, Challenge Based innovation CBi is the latest iteration of an evolving experiment at CERN in Geneva. The CBi acronym stands for “Challenge Based innovation”, and the experiment pulls in students from several countries and multiple disciplines. The Scimpulse Foundation collaborates with CERN since 2013 and in this occasion we facilitate a concept design workshop. It’s a sunny September morning in Mayrin, the outskirts of Geneva, right on the side of the ATLAS experiment building there is a new shell enclosure where a bunch of students practice and learn about innovation. Dr. Marco Manca is the coach of the team and he wants to make sure that they come out of the experience with a new mindset. The challenge is to design something that may enable blind people to perceive the surrounding environment; maybe some type of augmented sensory device. They call themselves the “Heisenberg” team. They fly through the training! what is Vision? To know how we did it, keep on reading … Let me see! Let me see!
Knowledge to Wisdom Data, Information, Knowledge, & Wisdom by Gene Bellinger, Durval Castro, Anthony Mills There is probably no segment of activity in the world attracting as much attention at present as that of knowledge management. Yet as I entered this arena of activity I quickly found there didn't seem to be a wealth of sources that seemed to make sense in terms of defining what knowledge actually was, and how was it differentiated from data, information, and wisdom. What follows is the current level of understanding I have been able to piece together regarding data, information, knowledge, and wisdom. I figured to understand one of them I had to understand all of them. According to Russell Ackoff, a systems theorist and professor of organizational change, the content of the human mind can be classified into five categories: Ackoff indicates that the first four categories relate to the past; they deal with what has been or what is known. A further elaboration of Ackoff's definitions follows: Data... data is raw. Ex: It is raining. What is it?
DIKW Pyramid The DIKW Pyramid, also known variously as the "DIKW Hierarchy", "Wisdom Hierarchy", the "Knowledge Hierarchy", the "Information Hierarchy", and the "Knowledge Pyramid",[1] refers loosely to a class of models[2] for representing purported structural and/or functional relationships between data, information, knowledge, and wisdom. "Typically information is defined in terms of data, knowledge in terms of information, and wisdom in terms of knowledge".[1] History[edit] "The presentation of the relationships among data, information, knowledge, and sometimes wisdom in a hierarchical arrangement has been part of the language of information science for many years. Data, Information, Knowledge, Wisdom[edit] In the same year as Ackoff presented his address, information scientist Anthony Debons and colleagues introduced an extended hierarchy, with "events", "symbols", and "rules and formulations" tiers ahead of data.[7][16] Data, Information, Knowledge[edit] Description[edit] Data[edit] Structural vs.
Manage Your Data: Data Management: Subject Guides The MIT Libraries supports the MIT community in the management and curation of research data by providing the following services: Data Management Guide This Data Management and Publishing Guide is a practical self-help guide to the management and curation of research data throughout its life cycle. It provides guidance on a range of topics, including: planning for data management, documentation/metadata, file formats, data organization, data security and backup, citing data, data integration, funder requirements, ethical and legal issues, and sharing and archiving data. Assistance with Creating Data Management Plans Many funders, such as the National Science Foundation, have requirements for data sharing and data management plans. Workshops Our workshops teach you how to manage data more efficiently for your own use and help you to effectively share your data with others. Individual Consultation and Collaboration with Researchers Referrals to Related Services Contact Us
Data visualization Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".[1] A primary goal of data visualization is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. Effective visualization helps users in analyzing and reasoning about data and evidence. Data visualization is both an art and a science. Overview[edit] Data visualization is one of the steps in analyzing data and presenting it to users. Indeed, Fernanda Viegas and Martin M. Graphics reveal data.
The Problem with the Data-Information-Knowledge-Wisdom Hierarchy - David Weinberger by David Weinberger | 9:00 AM February 2, 2010 The data-information-knowledge-wisdom hierarchy seemed like a really great idea when it was first proposed. But its rapid acceptance was in fact a sign of how worried we were about the real value of the information systems we had built at such great expense. What looks like a logical progression is actually a desperate cry for help. The DIKW hierarchy (as it came to be known) was brought to prominence by Russell Ackoff in his address accepting the presidency of the International Society for General Systems Research in 1989. Where is the Life we have lost in living? Those lines come from the poem “The Rock” by T.S. The DIKW sequence made immediate sense because it extends what every Computer Science 101 class learns: information is a refinement of mere data. But, the info-to-knowledge move is far more problematic than the data-to-info one. So, what is “knowledge” in the DIKW pyramid? And humbug.
Data analysis - Wikipedia Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The process of data analysis[edit] Data cleaning[edit] The need for data cleaning will arise from problems in the way that data is entered and stored. Initial data analysis[edit] Quality of data[edit] Test for common-method variance.
Knowledge Cartography Metacognition: The Gift That Keeps Giving Editor's note: This post is co-authored by Marcus Conyers who, with Donna Wilson, is co-developer of the M.S. and Ed.S. Brain-Based Teaching degree programs at Nova Southeastern University. They have written several books, including Five Big Ideas for Effective Teaching: Connecting Mind, Brain, and Education Research to Classroom Practice. Students who succeed academically often rely on being able to think effectively and independently in order to take charge of their learning. These students have mastered fundamental but crucial skills such as keeping their workspace organized, completing tasks on schedule, making a plan for learning, monitoring their learning path, and recognizing when it might be useful to change course. Many teachers we know enjoy teaching students how to wield one of the most powerful thinking tools: metacognition, or the ability to think about your thoughts with the aim of improving learning. Metacognition in the Brain How to Teach Students to Be More Metacognitive
Data analysis - Wikipedia Analysis of data is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. The process of data analysis[edit] Data science process flowchart Data requirements[edit]
Phronesis Phronēsis ( Greek : φρόνησις) is the Greek word for wisdom or intelligence which is a common topic of discussion in philosophy . In Aristotelian Ethics , for example in the Nicomachean Ethics it is distinguished from other words for wisdom and intellectual virtues – such as episteme and techne – as the virtue of practical thought. For this reason, when it is not simply translated by words meaning wisdom or intelligence, it is often translated as " practical wisdom ", and sometimes (more traditionally) as " prudence ", from Latin prudentia . Phronesis is also sometimes spelled Fronesis . [ edit ] Related concepts [ edit ] Intellectual In Book 6 of the Nicomachean Ethics , Aristotle distinguishes between two intellectual virtues which are sometimes translated as "wisdom": sophia and phronesis . [ edit ] Ethical According to Aristotle' theory on rhetoric phronesis is one of the three types of appeal to character ( ethos ). Gaining phronesis requires maturation, in Aristotle's thought:
Magic and Mystery, Chaos and Complexity Paradox My dictionary says a paradox is a seemingly absurd or contradictory statement even if it is well founded. In life there are many things that appear absurd and contradictory that are in fact real and true. These paradoxes mean we live in a world of mystery where there is always something new to learn and experience. Tonight I will talk about some of those paradoxes and how they might help us understand the world we live in. The first paradox is that we have two competing needs in life beyond our needs for mere survival. The second need we have is to be accepted by other people. So, one dancing partner is our need to belong; to feel accepted and connected. There is no unity without sacrifice. The other dancing partner is our need to be a unique individual. Just as dancers need to be balanced with one another. The extremes of only co-operating or only competing do not work. When we are out of balance we cause harm to ourselves and the people around us. . Zen Buddhism teaches us.
Friends of Wisdom We need a revolution in the aims and methods of academic inquiry. Instead of giving priority to the search for knowledge, academia needs to devote itself to seeking and promoting wisdom by rational means, wisdom being the capacity to realize what is of value in life, for oneself and others, wisdom thus including knowledge but much else besides. A basic task ought to be to help humanity learn how to create a better world. Acquiring scientific knowledge dissociated from a more basic concern for wisdom, as we do at present, is dangerously and damagingly irrational. Natural science has been extraordinarily successful in increasing knowledge. This has been of great benefit to humanity. The revolution we need would change every branch and aspect of academic inquiry. These changes are not arbitrary. For more detailed presentations of the above argument see the following by Nicholas Maxwell: "Can Humanity Learn to become Civilized?