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Wikimedia)2020-01-21T03:06:26+00:00monthlyhttps://eight2late.com/2014/12/10/the-danger-within-internally-generated-risks-in-projects/2020-01-19T21:22:31+00:00monthlyhttps://eight2late.com/2013/07/03/overcoming-the-corporate-immune-system-some-lessons-from-the-dengue-virus/https://eight2late.com/wp-content/uploads/2013/07/dilbert_innovation_taken-from-your-new-job-title-is-accomplice-copyright-scott-adams-2012.pngdilbert_innovation_taken from - Your New Job Title is Accomplice (Copyright Scott Adams 2012)Dilbert on innovation (Copyright: Scott Adams, 2012)2019-12-15T21:54:22+00:00monthlyhttps://eight2late.com/2019/10/09/tackling-the-john-smith-problem-deduplicating-data-via-fuzzy-matching-in-r/https://eight2late.com/wp-content/uploads/2019/10/identical_men.pngidentical_men(Picture Credit: Clone Team by Dawn Hudson, https://www.dreamstime.com/royalty-free-stock-photos-clone-team-image8071248)2020-02-29T05:37:45+00:00monthlyhttps://eight2late.com/2015/07/22/a-gentle-introduction-to-cluster-analysis-using-r/https://eight2late.com/wp-content/uploads/2015/07/kmeans-elbowplot.jpgkmeans - elbowplotFigure 10: WSS as a function of k ("elbow plot")https://eight2late.com/wp-content/uploads/2015/07/kmeans5.jpgkmeans5Figure 8: Principal component plot (k=5)https://eight2late.com/wp-content/uploads/2015/07/kmeans3.jpgkmeans3Figure 7: Principal component plot (k=3)https://eight2late.com/wp-content/uploads/2015/07/kmeans2.jpgkmeans2Figure 6: principal component plot (k=2)https://eight2late.com/wp-content/uploads/2015/07/hclust5.jpghclust5Figure 5: 5 cluster solutionhttps://eight2late.com/wp-content/uploads/2015/07/hclust3.jpghclust3Figure 4: 3 cluster solutionhttps://eight2late.com/wp-content/uploads/2015/07/hclust2.jpghclust2Figure 3: 2 cluster solutionhttps://eight2late.com/wp-content/uploads/2015/07/hclust.jpghclustFigure 2: Dendogram from hierarchical clustering of corpushttps://eight2late.com/wp-content/uploads/2015/07/clust-dist-example.jpgclust-dist-exampleFigure 1: Documents A and B as points in a 3-word space2021-04-06T20:57:18+00:00monthlyhttps://eight2late.com/2011/01/20/elephants-in-the-room-seven-reasons-why-project-risks-are-ignored/https://eight2late.com/wp-content/uploads/2011/01/elephant-in-the-room.jpgelephant-in-the-room(Image courtesy John Atkinson: https://wronghands1.com/2018/01/12/parts-of-the-elephant-in-the-room/)2019-11-08T05:14:23+00:00monthlyhttps://eight2late.com/2016/02/16/a-gentle-introduction-to-decision-trees-using-r/https://eight2late.com/wp-content/uploads/2016/02/cart_partitioning.jpgcart_partitioningFigure 2: Example of partitioninghttps://eight2late.com/wp-content/uploads/2016/02/7214525854_733237dd83_z1.jpg7214525854_733237dd83_zFigure 1: Example of a simple decision tree (Courtesy: Duncan Hull)https://eight2late.com/wp-content/uploads/2016/02/regressiontree.jpgregressiontreeFigure 5: A regression tree for Boston Housing datasethttps://eight2late.com/wp-content/uploads/2016/02/decisiontree_pruned.jpgdecisiontree_prunedFigure 4: A pruned classification tree for Ionosphere datasethttps://eight2late.com/wp-content/uploads/2016/02/decisiontree.jpgdecisiontree2019-10-30T18:20:21+00:00monthlyhttps://eight2late.com/2017/11/27/the-map-and-the-territory-a-project-managers-reflections-on-the-seven-bridges-walk/https://eight2late.com/wp-content/uploads/2017/11/figure-13.jpgFigure 13Figure 13: A well-deserved pinthttps://eight2late.com/wp-content/uploads/2017/11/figure-12.jpgFigure 12Figure 12: View from Tarban Creek Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-11.jpgFigure 11Figure 11: A side view of Gladesville Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-10.jpgFigure 10Figure 10: View from Gladesville Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-9.jpgFigure 9Figure 9: View from Iron Cove Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-8.jpgFigure 8Figure: View looking up from Anzac Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-7.jpgFigure 7Figure 7: Pyrmont Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-6.jpgFigure 6Figure 6: A pedestrian's view of The Bridgehttps://eight2late.com/wp-content/uploads/2017/11/figure-5.jpgFigure 5Figure 5: Harbour Bridge from Lavender St.https://eight2late.com/wp-content/uploads/2017/11/figure-4.pngFigure 4Figure 4: A bit of a climb2019-09-01T06:08:41+00:00monthlyhttps://eight2late.com/2019/05/01/the-turing-inversion-an-ai-fiction/https://eight2late.com/wp-content/uploads/2019/04/ad-artificial-intelligence-calculator-371919.jpgad-artificial-intelligence-calculator-371919https://eight2late.com/wp-content/uploads/2019/04/technology-3762546_960_720.jpgtechnology-3762546_960_720https://eight2late.com/wp-content/uploads/2019/04/pixabay_ai.jpgpixabay_AI(Image courtesy pixabay)2019-05-02T02:07:52+00:00monthlyhttps://eight2late.com/2019/02/15/seven-bridges-revisited-further-reflections-on-the-map-and-the-territory/https://eight2late.com/wp-content/uploads/2018/11/figure10.jpgFigure 8Figure 8: View from Tarban Creek Bridge (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/figure-9.jpgfigure-7Figure 7: View from Gladesville Bridge (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/figure-8.jpgFigure-6Figure 6: View looking up Anzac Bridge (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/figure-7.jpgFigure-5Figure 5: Pyrmont Bridge (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/figure-4.jpgFigure-4Figure 4: Morning kayakers on the river (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/figure-3.jpgFigure-3Figure 3: Lane Cove River from Fig Tree Bridge (2017 L, 2018 R)https://eight2late.com/wp-content/uploads/2018/11/weather-comparison-graphic.jpgWeather comparison - graphicWeather on 29 Oct 2017 and 28 Oct 20182019-02-17T10:07:39+00:00monthlyhttps://eight2late.com/2013/08/01/on-the-contradictions-of-consulting-and-management-rhetoric/2019-02-05T21:32:22+00:00monthlyhttps://eight2late.com/2019/01/14/another-distant-horizon/https://eight2late.com/wp-content/uploads/2019/01/dad_walking.jpgdad_walking2019-01-18T02:52:55+00:00monthlyhttps://eight2late.com/2018/06/06/an-intuitive-introduction-to-support-vector-machines-using-r-part-1/https://eight2late.com/wp-content/uploads/2018/06/14-iris_dataset_petal_width_length.png14 - iris_dataset_petal_width_lengthFigure 15: iris dataset, petal width vs petal lengthhttps://eight2late.com/wp-content/uploads/2018/06/10-decision_margin_vis_cost_100.png10-decision_margin_vis_cost_100Figure 13: Training dataset with predicted decision boundary and margins for cost=100https://eight2late.com/wp-content/uploads/2018/06/support-vectors-cost100-case.pngsupport vectors cost=100 caseFigure 12: Training dataset showing support vectors for cost=100 casehttps://eight2late.com/wp-content/uploads/2018/06/09-decision_boundary_vis_using_svm_plot_fn.png09-decision_boundary_vis_using_svm_plot_fnFigure 10: Decision boundary for linearly separable dataset visualised using svm.plot()https://eight2late.com/wp-content/uploads/2018/06/figure-9-svm-1-linear-with-decision-boundary-and-svs.pngFigure 9 - SVM 1 - Linear with decision boundary and SVsFigure 9: https://eight2late.com/wp-content/uploads/2018/06/08-decision_margin_boundary_vis_linear_svm.png08-decision_margin_boundary_vis_linear_svmFigure 11: Training dataset with decision and margin boundaries displayedhttps://eight2late.com/wp-content/uploads/2018/06/07-support_vector_vis_linear_svm.png07-support_vector_vis_linear_svmFigure 8: Training dataset showing support vectorshttps://eight2late.com/wp-content/uploads/2018/06/06-linearly_separable_dataset_with_margin_displayed.png06 - linearly_separable_dataset_with_margin_displayedFigure 7: Linearly separable dataset with margin and decision boundary displayedhttps://eight2late.com/wp-content/uploads/2018/06/05-linearly_separable_dataset_with_margin.png05 - linearly_separable_dataset_with_marginFigure 6: Dataset with margin (note depleted areas on either side of boundary)https://eight2late.com/wp-content/uploads/2018/06/04-linearly_separable_dataset.png04 - linearly_separable_datasetFigure 5: Linearly separable dataset with boundary.2018-06-06T11:56:40+00:00monthlyhttps://eight2late.com/2009/12/10/the-effect-of-task-duration-correlations-on-project-schedules-a-study-using-monte-carlo-simulation/https://eight2late.com/wp-content/uploads/2009/12/fig6.jpgfig6Figure 6: Cumulative probability distribution for uncorrelated (blue) and correlated (red) caseshttps://eight2late.com/wp-content/uploads/2009/12/fig5.jpgfig5Figure 5: Frequency histograms for overall duration (blue=uncorrelated, red=correlated)https://eight2late.com/wp-content/uploads/2009/12/fig4.jpgfig4Figure 4: Frequency histograms for A and B (correlated and uncorrelated)https://eight2late.com/wp-content/uploads/2009/12/fig3-e1259923869357.jpgfig3https://eight2late.com/wp-content/uploads/2009/12/fig2.jpgfig2Figure 2: Scatter plot of duration of A vs. duration of B (uncorrelated)https://eight2late.com/wp-content/uploads/2009/12/fig1-e1259923827988.jpgfig1Figure 1: Duration of A vs. Duration of B2018-05-03T05:42:55+00:00monthlyhttps://eight2late.com/2009/05/08/the-role-of-cognitive-biases-in-project-failure/2018-04-01T05:23:29+00:00monthlyhttps://eight2late.com/2018/03/27/a-gentle-introduction-to-monte-carlo-simulation-for-project-managers/https://eight2late.com/wp-content/uploads/2018/03/figure-121.pngFigure 12Figure 12: Probability of completion by a particular day (N=10,000)https://eight2late.com/wp-content/uploads/2018/03/figure-111.pngFigure 11Figure 11: Probability distribution of completion times (N=10,000)https://eight2late.com/wp-content/uploads/2018/03/task-sequence.pngTask sequenceFigure 1; A project with 4 tasks.https://eight2late.com/wp-content/uploads/2018/03/figure-10.pngFigure 10Figure 10: Illustrating the inverse tranform methodhttps://eight2late.com/wp-content/uploads/2018/03/figure-9.pngFigure 9Figure 9 – CDF for triangular distribution (tmin=2, tml=4, tmax=8)https://eight2late.com/wp-content/uploads/2018/03/figure-8.pngFigure 8Figure 8: https://eight2late.com/wp-content/uploads/2018/03/figure-7.pngFigure 7Figure 7https://eight2late.com/wp-content/uploads/2018/03/figure-6.pngFigure 6Figure 6: Triangular distribution redux.https://eight2late.com/wp-content/uploads/2018/03/figure-5.pngFigure 5Figure 5: A distribution that allows for a very long (potentially) infinite completion timehttps://eight2late.com/wp-content/uploads/2018/03/figure-4.pngFigure 4FIgure 4: Another distribution that fits the points in Figure 1.2019-12-23T15:29:57+00:00monthlyhttps://eight2late.com/2011/04/27/the-resource-allocation-syndrome-in-multi-project-environments/2018-03-21T09:59:23+00:00monthlyhttps://eight2late.com/2008/08/29/motivation-in-project-management/2018-03-21T09:56:17+00:00monthlyhttps://eight2late.com/2017/02/23/a-prelude-to-machine-learning/https://eight2late.com/wp-content/uploads/2017/02/simple_complex_fn.pngsimple_complex_fnFigure 2: Simple and complex fitting functionshttps://eight2late.com/wp-content/uploads/2017/02/linregv2.pnglinregv2Figure 1: Linear Regression2018-03-05T01:09:53+00:00monthlyhttps://eight2late.com/2018/02/05/risk-management-and-organizational-anxiety/2018-03-01T22:26:38+00:00monthlyhttps://eight2late.com/2011/12/06/book-announcement-the-heretics-guide-to-best-practices/2017-11-25T03:37:09+00:00monthlyhttps://eight2late.com/2017/10/10/a-gentle-introduction-to-data-visualisation-using-r/https://eight2late.com/wp-content/uploads/2017/10/figure18b.jpgfigure18bFigure 18: Same data as in Figure 17, with facets wrapped in a 2 column formathttps://eight2late.com/wp-content/uploads/2017/10/figure17b.jpgfigure17bFigure 17: Horizontally laid out facet plots of ICSEA scores for different remoteness categorieshttps://eight2late.com/wp-content/uploads/2017/10/figure16b.jpgfigure16bFigure 16: Proportions of school levels for remoteness categorieshttps://eight2late.com/wp-content/uploads/2017/10/figure15b.jpgfigure15bFigure 15: Same data as in Figure 14 stacked side-by-sidehttps://eight2late.com/wp-content/uploads/2017/10/figure14b.jpgfigure14bFigure 14: Bar plot of school counts as a function of remoteness and school levelhttps://eight2late.com/wp-content/uploads/2017/10/figure13b.jpgfigure13bFigure 13: Coloured bar plot of school count by remotenesshttps://eight2late.com/wp-content/uploads/2017/10/figure12b.jpgfigure12bFigure 12: Bar plot of Figure 10 sorted by ascending counthttps://eight2late.com/wp-content/uploads/2017/10/figure11b.jpgfigure11bFigure 11: Barplot of Figure 10 sorted by descending counthttps://eight2late.com/wp-content/uploads/2017/10/figure10b.jpgfigure10bFigure 10: Bar plot of remoteness with counts and angled x labelshttps://eight2late.com/wp-content/uploads/2017/10/figure9b.jpgfigure9bFigure 9: School count by remoteness categories2017-10-12T11:39:30+00:00monthlyhttps://eight2late.com/2015/05/27/a-gentle-introduction-to-text-mining-using-r/https://eight2late.com/wp-content/uploads/2015/05/wordcloud21.jpegWordcloud2Fig 3: Wordcloud (freq > 70)https://eight2late.com/wp-content/uploads/2015/05/wordcloud11.jpegWordcloud1Fig 2: Wordcloud (freq>70)https://eight2late.com/wp-content/uploads/2015/05/tohistogram1.jpegTOHistogramFig 1: Term-occurrence histogram (freq>100)2025-02-09T00:44:51+00:00monthlyhttps://eight2late.com/2015/09/29/a-gentle-introduction-to-topic-modeling-using-r/2021-07-14T23:06:13+00:00monthlyhttps://eight2late.com/2015/11/06/a-gentle-introduction-to-naive-bayes-classification-using-r/https://eight2late.com/wp-content/uploads/2015/11/fig3-democrat_votes_issue1.jpegfig3-democrat_votes_issue1Fig 3: Democrat votes for issue 1.https://eight2late.com/wp-content/uploads/2015/11/fig2-republican_votes_issue1.jpegfig2-republican_votes_issue1Fig 2: Republican votes for issue 1.https://eight2late.com/wp-content/uploads/2015/11/fig1-votes_issue1.jpegfig1-votes_issue1Fig 1: y and n votes for issue 12017-10-06T06:10:58+00:00monthlyhttps://eight2late.com/2016/09/20/a-gentle-introduction-to-random-forests-using-r/https://eight2late.com/wp-content/uploads/2016/09/importance_plot.jpgimportance_plotFigure 1: Variable importance plots2018-02-02T12:51:58+00:00monthlyhttps://eight2late.com/2017/07/11/a-gentle-introduction-to-logistic-regression-and-lasso-regularisation-using-r/https://eight2late.com/wp-content/uploads/2017/07/log_reg_cv_lambda.jpglog_reg_cv_lambdaFigure 2: Error as a function of lambda (select lambda that minimises error)https://eight2late.com/wp-content/uploads/2017/07/cv_lambda.jpgcv_lambdaFigure 2: Lambda as a function of RMS errorhttps://eight2late.com/wp-content/uploads/2017/07/logistic-curve-svg.pngLogistic-curve.svgFigure 1: Logistic function2018-01-10T23:20:20+00:00monthlyhttps://eight2late.com/2015/12/02/a-gentle-introduction-to-network-graphs-using-r-and-gephi/https://eight2late.com/wp-content/uploads/2015/11/networkgraph.pngNetworkGraphFigure 12: Gephi network graph of document corpushttps://eight2late.com/wp-content/uploads/2015/11/gephi9-export-settings-and-preview.jpgGephi9 - export settings and previewFigure 11: Export previewhttps://eight2late.com/wp-content/uploads/2015/11/gephi8-node-size.jpgGephi8 - Node sizeFigure 10: Node sizes reflecting connectednesshttps://eight2late.com/wp-content/uploads/2015/11/gephi7-edge-ranking.jpgGephi7 - Edge rankingFigure 8: Edge rankinghttps://eight2late.com/wp-content/uploads/2015/11/gephi6-node-ranking.jpgGephi6-Node rankingFigure 8: Node ranking (see left of figure)https://eight2late.com/wp-content/uploads/2015/11/gephi5-visualizing-similarity-edge-and-node-colouring.jpgGephi5-visualizing similarity - edge and node colouringFigure 5: Connectivity-based colouring of edges and nodes.https://eight2late.com/wp-content/uploads/2015/11/gephi4-force-atlas-layout.jpgGephi4-force atlas layouthttps://eight2late.com/wp-content/uploads/2015/11/gephi3-size-linethickness-nodelabels.jpgGephi3- size-linethickness-nodelabelsFigure 5: graph with node labels and adjusted edge thicknesseshttps://eight2late.com/wp-content/uploads/2015/11/gephi2-start.jpgGephi2-startFigure 4: Initial overview after loading adjacency matrixhttps://eight2late.com/wp-content/uploads/2015/11/gephi1_import.jpgGephi1_importFigure 3: Gephi import feedback2017-10-06T06:09:06+00:00monthlyhttps://eight2late.com/2017/02/07/a-gentle-introduction-to-support-vector-machines-using-r/https://eight2late.com/wp-content/uploads/2017/01/svm-fig-5.pngsvm-fig-5Figure 5: Non-linearly separable datahttps://eight2late.com/wp-content/uploads/2017/01/svm-fig-4.pngsvm-fig-4Figure 3: Soft margin classifier (linearly separable data)https://eight2late.com/wp-content/uploads/2017/01/svm-fig-3.pngsvm-fig-3https://eight2late.com/wp-content/uploads/2017/01/svm-fig-2.pngsvm-fig-2Figure 2: Illustrating multiple separation boundarieshttps://eight2late.com/wp-content/uploads/2016/12/svm-fig-1.pngsvm-fig-1Figure 1: 2017-10-06T06:08:36+00:00monthlyhttps://eight2late.com/2017/09/20/the-two-tributaries-of-time/2017-09-20T11:40:48+00:00monthlyhttps://eight2late.com/2016/12/12/the-law-of-requisite-variety-and-its-implications-for-enterprise-it/2017-09-12T23:52:41+00:00monthlyhttps://eight2late.com/2015/06/22/catch-22-and-the-paradoxes-of-organisational-life/2017-07-07T08:52:12+00:00monthlyhttps://eight2late.com/2017/04/04/the-improbability-of-success/https://eight2late.com/wp-content/uploads/2017/04/figure-5-improbability.pngFigure 5 - improbabilityFigure 5: Why copying others is not a good idea (see text for explanation)https://eight2late.com/wp-content/uploads/2017/04/figure-4-improbability.pngFigure 4 - improbability Figure 4: Two distinct configurations of marbles (or organisations)https://eight2late.com/wp-content/uploads/2017/04/figure-3-improbability.pngFigure 3 - improbabilityFigure 3: an “approximately ordered” statehttps://eight2late.com/wp-content/uploads/2017/04/figure-2-improbability.pngFigure 2 - improbabilityFigure 2: an unlikely (ordered) configurationhttps://eight2late.com/wp-content/uploads/2017/04/figure-1-improbability.pngFigure 1 - improbabilityFigure 1: A random configuration of 3 marbles2017-06-17T12:47:50+00:00monthlyhttps://eight2late.com/2010/11/18/why-best-practices-are-hard-to-practice-and-what-can-be-done-about-it/2017-03-25T02:22:13+00:00monthlyhttps://eight2late.com/2010/06/07/beyond-best-practices-a-paper-review-and-the-genesis-of-a-collaboration/2017-03-25T02:20:19+00:00monthlyhttps://eight2late.com/2013/11/01/patterns-of-miscommunication-in-organisations/2017-03-08T02:44:23+00:00monthlyhttps://eight2late.com/2011/09/29/uncertainty-about-uncertainty/2017-02-16T09:58:18+00:00monthlyhttps://eight2late.com/2010/09/14/groupthink-in-project-environments/2017-02-02T23:31:01+00:00monthlyhttps://eight2late.com/2009/09/11/an-introduction-to-monte-carlo-simulation-of-project-tasks/https://eight2late.com/wp-content/uploads/2009/09/histogram.jpgHistogramFigure 6: Distribution of simulation runshttps://eight2late.com/wp-content/uploads/2009/09/invert.jpgInvertFigure 5https://eight2late.com/wp-content/uploads/2009/09/tcdf1.jpgTCDF1Figure 4 - Triangular CDF (tmin=2, tml=4, tmax=8)https://eight2late.com/wp-content/uploads/2009/09/tpdf1.jpgTPDF1Figure 3 - Triangular PDF (tmin=2, tml=4, tmax=8)https://eight2late.com/wp-content/uploads/2009/09/triangular-dist-1.jpgtriangular dist 1Figure 2https://eight2late.com/wp-content/uploads/2009/09/triangular-dist.jpgtriangular distFigure 12017-01-24T03:28:57+00:00monthlyhttps://eight2late.com/2017/01/17/the-dark-side-of-data-science/2017-06-26T11:50:08+00:00monthlyhttps://eight2late.com/2012/02/23/on-the-nature-of-decision-making-in-organisations/2017-01-16T02:55:20+00:00monthlyhttps://eight2late.com/2010/12/16/more-than-just-talk-an-essay-on-rationality-in-project-discussions/2017-01-04T01:35:20+00:00monthlyhttps://eight2late.com/2016/10/18/data-science-and-sensemaking-tales-from-two-hackathons/2016-10-29T14:54:42+00:00monthlyhttps://eight2late.com/2015/05/15/big-data-metaphors-we-live-by/https://eight2late.com/wp-content/uploads/2015/05/bigdatametaphors_banner.jpgBigDataMetaphors_Banner2016-10-20T01:16:21+00:00monthlyhttps://eight2late.com/2016/06/15/the-story-before-the-story-a-data-science-fable/2016-10-20T01:13:16+00:00monthlyhttps://eight2late.com/2016/07/12/the-heretics-guide-to-management-understanding-ambiguity-in-the-corporate-world/https://eight2late.com/wp-content/uploads/2016/07/jediteddy_thumb.jpgjediteddy_thumbA Jedi Teddyhttps://eight2late.com/wp-content/uploads/2016/07/sithteddy_thumb.jpgsithteddy_thumbA Sith Teddyhttps://eight2late.com/wp-content/uploads/2016/07/base-teddy_thumb.jpgbase-teddy_thumbA plain old Teddy2016-09-07T06:57:22+00:00monthlyhttps://eight2late.com/2016/05/03/the-hidden-costs-of-it-outsourcing/2016-05-03T09:03:19+00:00monthlyhttps://eight2late.com/2016/03/15/what-is-sensemaking/2016-05-30T20:57:44+00:00monthlyhttps://eight2late.com/2009/04/15/capturing-project-knowledge-using-issue-maps/https://eight2late.com/wp-content/uploads/2009/04/doclinks.jpgdoclinksLinks to external docs2016-01-28T07:55:43+00:00monthlyhttps://eight2late.com/2016/01/19/improving-decision-making-in-projects-and-in-life/2016-02-05T02:53:50+00:00monthlyhttps://eight2late.com/2009/09/24/building-project-knowledge-a-social-constructivist-view/https://eight2late.com/wp-content/uploads/2009/08/jackson-klobas-model.jpgJackson Klobas ModelFigure 1: Knowledge creation/sharing 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Elements2014-11-25T13:17:15+00:00monthlyhttps://eight2late.com/2009/06/25/visualising-arguments-using-issue-maps-an-example-and-some-general-comments/https://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter4_new.jpgITDoesntMatter4_newhttps://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter3_new.jpgITDoesntMatter3_newhttps://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter5_new.jpgITDoesntMatter5_newhttps://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter5.jpgITDoesntMatter5Figure 5: Issue Map Stage 5https://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter4.jpgITDoesntMatter4Figure 4: Issue Map Stage 4https://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter3.jpgITDoesntMatter3Figure 3: Issue Map Stage 3https://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter2.jpgITDoesntMatter2Figure 2: Issue Map Stage 2https://eight2late.com/wp-content/uploads/2009/06/itdoesntmatter1.jpgITDoesntMatter1Figure 1: Issue Map Stage 12011-05-12T12:32:40+00:00monthlyhttps://eight2late.com/2009/08/27/the-approach-a-dialogue-mapping-story/https://eight2late.com/wp-content/uploads/2009/07/theapproach-13.jpgTheApproach-13Figure 13https://eight2late.com/wp-content/uploads/2009/07/theapproach-12.jpgTheApproach-12Figure 12https://eight2late.com/wp-content/uploads/2009/07/theapproach-11.jpgTheApproach-11Figure 11https://eight2late.com/wp-content/uploads/2009/07/theapproach-10.jpgTheApproach-10Figure 10https://eight2late.com/wp-content/uploads/2009/07/theapproach-09.jpgTheApproach-09Figure 9https://eight2late.com/wp-content/uploads/2009/07/theapproach-08.jpgTheApproach-08Figure 8https://eight2late.com/wp-content/uploads/2009/07/theapproach-07.jpgTheApproach-07Figure 7https://eight2late.com/wp-content/uploads/2009/07/theapproach-06.jpgTheApproach-06Figure 6https://eight2late.com/wp-content/uploads/2009/07/theapproach-05.jpgTheApproach-05Figure 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5https://eight2late.com/wp-content/uploads/2010/10/wsidn-fig4.jpgwsidn-fig4Figure 4https://eight2late.com/wp-content/uploads/2010/10/wsidn-fig3.jpgwsidn-fig3Figure 3https://eight2late.com/wp-content/uploads/2010/10/wsidn-fig2.jpgwsidn-fig2Figure 2https://eight2late.com/wp-content/uploads/2010/10/wsidn-fig1.jpgwsidn-fig1Figure 12020-07-17T09:18:23+00:00monthlyhttps://eight2late.com/2010/11/05/the-abilene-paradox-in-front-end-decision-making-on-projects/2011-05-12T12:27:37+00:00monthlyhttps://eight2late.com/2011/03/10/capturing-decision-rationale-on-projects/https://eight2late.com/wp-content/uploads/2011/03/example2.jpgexample2Figure 2: IBIS Map for Example 2.https://eight2late.com/wp-content/uploads/2011/03/example1.jpgexample1Figure 1: IBIS map for Example 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time due to riskhttps://eight2late.com/wp-content/uploads/2011/02/tcdf1.jpgtcdf1Figure 2: CDF for taskhttps://eight2late.com/wp-content/uploads/2011/02/tpdf1.jpgtpdf1Figure 1: Probability distribution for task2011-02-17T20:33:07+00:00monthlyhttps://eight2late.com/2011/02/03/making-sense-of-sensemaking-understanding-participatory-design-rationale/2011-03-15T06:04:21+00:00monthlyhttps://eight2late.com/2009/09/20/monte-carlo-simulation-of-multiple-project-tasks-three-examples-and-some-general-comments/https://eight2late.com/wp-content/uploads/2009/09/parallel_cdf.jpgparallel_cdfFigure 9 - CDF for tasks in parallelhttps://eight2late.com/wp-content/uploads/2009/09/parallel_and_indiv_hist.jpgparallel_and_indiv_histFigure 8 - Histograms for tasks in parallel (blue) and single task (red)https://eight2late.com/wp-content/uploads/2009/09/parallel_hist.jpgparallel_histFigure 7 - Frequency histogram for tasks in parallelhttps://eight2late.com/wp-content/uploads/2009/09/series_delay_cdf1.jpgseries_delay_cdfFigure 6 - CDF for tasks in series with inter-task delayhttps://eight2late.com/wp-content/uploads/2009/09/series_delay_hist.jpgseries_delay_histFigure 5 - Frequency histogram for tasks in series with inter-task delayhttps://eight2late.com/wp-content/uploads/2009/09/series_nodelay_cdf.jpgseries_nodelay_cdfFigure 4 - CDF for tasks in series with no inter-task delayhttps://eight2late.com/wp-content/uploads/2009/09/series_nodelay_hist.jpgseries_nodelay_histFigure 3 - Frequency histogram for tasks in series with no delayhttps://eight2late.com/wp-content/uploads/2009/09/tcdf11.jpgtcdf1Figure 2 - PDF for triangular distribution (tmin=2, tml=4, tmax=6)https://eight2late.com/wp-content/uploads/2009/09/tpdf11.jpgtpdf1Figure 1 - PDF for triangular distribution (tmin=2, tml=4, 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