Presentation given by Kathryn Waddington and Kathy Molloy at the Innovation, Creativity and Leadership event at City University London on the 13th June 2011.
Professor Steve Schifferes presented a summary of his research into public trust in business journalism at a BBC Trust seminar on impartiality and economic reporting in November 2012.
Professor Schifferes' research shows that the public does not trust journalists to give a fair and balanced picture of the economic crisis, and thinks there is not enough information on how the crisis will affect the jobs and incomes of ordinary people.
The research was based on a poll conducted by ICM in November 2011 with a sample size of 2,000 adults.
City University London's Department of Journalism is celebrating its 35th anniversary this year.
Here are 35 facts charting the development of Journalism at City.
This presentation was first shown at the official 35th anniversary party at Glaziers Hall on 14 September 2011.
Presentation given by Kathryn Waddington and Kathy Molloy at the Innovation, Creativity and Leadership event at City University London on the 13th June 2011.
Professor Steve Schifferes presented a summary of his research into public trust in business journalism at a BBC Trust seminar on impartiality and economic reporting in November 2012.
Professor Schifferes' research shows that the public does not trust journalists to give a fair and balanced picture of the economic crisis, and thinks there is not enough information on how the crisis will affect the jobs and incomes of ordinary people.
The research was based on a poll conducted by ICM in November 2011 with a sample size of 2,000 adults.
City University London's Department of Journalism is celebrating its 35th anniversary this year.
Here are 35 facts charting the development of Journalism at City.
This presentation was first shown at the official 35th anniversary party at Glaziers Hall on 14 September 2011.
The operation research book that involves all units including the lpp problems, integer programming problem, queuing theory, simulation Monte Carlo and more is covered in this digital material.
This is a presentation from video on 'Introduction to Operations Research' available at the end of this presentations and directly at https://youtu.be/PSOW3_gX2OU
Topics like Organisations of Operations Research, History of Operations Research Role of Operations Research(OR), Scope of Operations Research(OR), Characteristics of Operations Research(OR), Attributes of Operations Research(OR).
This video also talks about Models of Operations Research
• Degree of abstraction
o Mathematical models
o Language models
o Concrete models
• Function
o Descriptive models
o Predictive models
o Normative models
• Time Horizon
o Static models
o Dynamic models
• Structure
o Iconic or physical models
o Analog or schematic models
o Symbolic or mathematical models
• Nature of environment
o Deterministic models
o Probabilistic models
• Extent of generality
o General model
o Specific models
Modeling Framework to Support Evidence-Based DecisionsAlbert Simard
Describes a framework for modelling in a regulatory environment founded on sound scientific and knowledge management concepts. It includes 1) demand (isue-driven) and supply (model driven) approaches to modelling, 2) balancing modeler, manager, and user perspectives, 3) documentation to demonstrate due diligence, and a 700-term glossary.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Unit I (8 Hrs)
Introduction to Linear Programming – Various definitions, Statements of basic
theorems and properties, Advantages Limitations and Application areas of Linear
Programming, Linear Programming -Graphical method, - graphical solution
methods of Linear Programming problems, The Simplex Method: -the Simplex
Algorithm, Phase II in simplex method, Primal and Dual Simplex Method, Big-M
Method
Unit II (8 Hrs)
Transportation Model and its variants: Definition of the Transportation Model
-Nontraditional Transportation Models-the Transportation Algorithm-the Assignment
Model– The Transshipment Model
Unit III (8 Hrs)
Network Models: Basic differences between CPM and PERT, Arrow Networks,
Time estimates, earliest completion time, Latest allowable occurrences time,
Forward Press Computation, Backward Press Computation, Representation in
tabular form, Critical Path, Probability of meeting the scheduled date of completion,
Various floats for activities, Critical Path updating projects, Operation time cost trade
off Curve project,
Selection of schedule based on :- Cost analysis, Crashing the network
Sequential model & related problems, processing n jobs through – 1 machine & 2
machines
Unit IV (8 Hrs)
Network Models: Scope of Network Applications – Network definitions, Goal
Programming Algorithms, Minimum Spanning Tree Algorithm, Shortest Route
Problem, Maximal flow model, Minimum cost capacitated flow problem
Unit V (8 Hrs)
Decision Analysis: Decision - Making under certainty - Decision - Making under
Risk, Decision
under uncertainty.
Unit VI (8 Hrs)
Simulation Modeling: Monte Carlo Simulation, Generation of Random Numbers,
Method for
Gathering Statistical observations
ICL City 2013 Defining 21st century creativity by Natascha Radclyffe-ThomasInger Kristine Pitts
This talk was part of the ICLCity2013 event at City University London on the 13th May 2013. For more details see: http://www.city.ac.uk/centre-for-creativity-in-professional-practice/services/icl-city-2013
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The operation research book that involves all units including the lpp problems, integer programming problem, queuing theory, simulation Monte Carlo and more is covered in this digital material.
This is a presentation from video on 'Introduction to Operations Research' available at the end of this presentations and directly at https://youtu.be/PSOW3_gX2OU
Topics like Organisations of Operations Research, History of Operations Research Role of Operations Research(OR), Scope of Operations Research(OR), Characteristics of Operations Research(OR), Attributes of Operations Research(OR).
This video also talks about Models of Operations Research
• Degree of abstraction
o Mathematical models
o Language models
o Concrete models
• Function
o Descriptive models
o Predictive models
o Normative models
• Time Horizon
o Static models
o Dynamic models
• Structure
o Iconic or physical models
o Analog or schematic models
o Symbolic or mathematical models
• Nature of environment
o Deterministic models
o Probabilistic models
• Extent of generality
o General model
o Specific models
Modeling Framework to Support Evidence-Based DecisionsAlbert Simard
Describes a framework for modelling in a regulatory environment founded on sound scientific and knowledge management concepts. It includes 1) demand (isue-driven) and supply (model driven) approaches to modelling, 2) balancing modeler, manager, and user perspectives, 3) documentation to demonstrate due diligence, and a 700-term glossary.
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
Thought Leadership Session: Enterprise Semantics & Ontology, The Power of Und...Wim Laurier
Learn the 1-on-1 of Semantics & Ontology by international authorities. Explore how semantics and ontology is used as the underlying conceptual structure of an enterprise by transforming interoperability beyond existing boundaries. Understand the complex interdependencies of enterprise operations through semantics and ontology. Discover how the Global University Alliance researches, compares, analyzes and develops Best and LEADing Practices around Enterprise Semantics & Ontology.
Professor Simon Polovina
International authority and thought leader in Enterprise Semantics Sheffield Hallam University, United Kingdom
Head of Enterprise Semantics research and development at the Global University Alliance
Professor Wim Laurier
International authority and thought leader in Enterprise Ontology Université Saint-Louis, Bruxelles and Ghent University
Head of Enterprise Ontology research and development at the Global University Alliance
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Introduction to Linear Programming – Various definitions, Statements of basic
theorems and properties, Advantages Limitations and Application areas of Linear
Programming, Linear Programming -Graphical method, - graphical solution
methods of Linear Programming problems, The Simplex Method: -the Simplex
Algorithm, Phase II in simplex method, Primal and Dual Simplex Method, Big-M
Method
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Transportation Model and its variants: Definition of the Transportation Model
-Nontraditional Transportation Models-the Transportation Algorithm-the Assignment
Model– The Transshipment Model
Unit III (8 Hrs)
Network Models: Basic differences between CPM and PERT, Arrow Networks,
Time estimates, earliest completion time, Latest allowable occurrences time,
Forward Press Computation, Backward Press Computation, Representation in
tabular form, Critical Path, Probability of meeting the scheduled date of completion,
Various floats for activities, Critical Path updating projects, Operation time cost trade
off Curve project,
Selection of schedule based on :- Cost analysis, Crashing the network
Sequential model & related problems, processing n jobs through – 1 machine & 2
machines
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Network Models: Scope of Network Applications – Network definitions, Goal
Programming Algorithms, Minimum Spanning Tree Algorithm, Shortest Route
Problem, Maximal flow model, Minimum cost capacitated flow problem
Unit V (8 Hrs)
Decision Analysis: Decision - Making under certainty - Decision - Making under
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under uncertainty.
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Method for
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Strategy foresight presentation for ICLcity 2011 city university
1. Demonstration of Human Computer Interaction of Morphological Analysis for Design InnovationNasir Hussain City University London – Innovation, Creativity and Leadership, 13 June 2011
2. You can run the world for two days Advanced communication and life-support Armoured plating – leakproof petrol tank Defence countermeasures – tear gas, smoke grenades..
4. What is Morphological Analysis ? A generalised problem-structuring method, using Extended Typology Analysis, for structuring and analyzing complex problem fields which : - Are inherently non-quantifiable - Contain non-resolvable uncertainties - Cannot be causally modelled or simulated - Require a judgemental approach
5. Developed by Fritz Zwicky for tackling complex, multi-dimensional socio-technical design problems Fritz Zwicky (1898 - 1974) Professor of Astronomy, Caltech (1942-68) Co-founder Aerojet Engineering Corporation Developed Morphological Analysis as a problem-structuring method to address genuine uncertainty and stress test boundary conditions, resulting in discovery of: Dark matter (1934) Triple hypothesis - supernova, neutron stars, and cosmic rays (1934) Gravitational lensing (1937)
6. A typology interrelates simple terms, concepts and ideas in order to explore the more complex concepts that arise from compounding these simple discrete attributes. Antigen A + A - A + B Antigen B - B 2-D Morphological Table
7. Visually, a typology uses the dimensions of a physical space to represent its dimensions - however this ends at three 3-D Morphological Table Complex design problems have more than 3 dimensions – where do we place the Nth dimension and interrelate the variables?
8. Demonstration of CARMA® Inputs Outputs The above example depicts 186,624 formal combinations – with facilitation and proprietary software this can reduced by over 99%
9.
10. The “breaking down”, or deconstruction, of the problem (or mess) into the variables requires strong independent facilitation
11. The “association” is in fact the Cross Consistency Analysis: every pair of cells (i.e. conditions or states) must be compatible i.e. “form follows function” (Louis Sullivan, 1896) *Redesigning the Future, Russell Ackoff (1974)
17. Strategy Foresight LLP and partners have completed 125+ projects across the globe Design of military boots (Sweden) Alternative organisational structures for government research organisations (ND) Predicting and mitigating risks to corporate reputation (UK)* Future international organisational structure for FMCG (Sweden)* Governance of scientific and technological development (US) Improving quality and quantity of investment deal flow (City University)* * current projects
19. Wicked problems are multi-faceted, multi-dimensional problems that reside within organisations Not easily quantifiable – little data, uncertain data, incomplete data Continually developing and mutating Full of ambiguities, contradictions and vicious circles Very strongly stakeholder oriented with strong political, moral and professional issues Reactive: the problem fights back ‘Wicked problems’ H. Rittel & M. Webber (1973) Dilemmas in a General Theory of Planning Policy Sciences, 4: 155-169
24. Futures researchStretch Capture Shape Select Prioritise Designing specialist workshop teams Using processes developed in the military
25. Strategy Foresight is not a consulting firm Facilitators who work with very complex issues aka ‘wicked problems’ Model unintended consequences of policy design, board decisions etc. Proprietary software – models developed in real time with the clients No army of researchers – the client’s workshop team are the specialists
26. …..and provide clients with novel software to construct their own scenarios and strategy alternatives Input and outputs interchangeable - manipulate both cause and effect Ability to freeze and compare scenarios and strategy alternatives Reducing decision alternatives does not require re-developing entire model Easily updatable: visual, real time systematic group exploration for collective creativity and decision-making Speed, efficiency and cost of facilitation and model development is a fraction of traditional consultancies
27. Strategy foresight engages clients and stakeholders with their complex challenges – aka ‘Wicked Problems’ Wicked problem (Rittel et al 1973) Compare a Tame Problem Not easily quantifiable due to uncertain or incomplete information Continually developing and mutating Full of ambiguities, contradictions and circular causality Stakeholder oriented with strong political, moral & professional issues Reactive: the problem fights back Has a relatively well-defined and stable problem statement Has a definite stopping point i.e. we know when the solution is reached Binary solutions: objectively evaluated as being right or wrong Has solutions which can be tried and abandoned