© Crown copyright Met Office Towards an optimized communication of probabilistic weather forecasts via the internet Liz Stephens 1, Ken Mylne and David.

Slides:



Advertisements
Similar presentations
Designing the Season to Accomplish Goals Designing the Season to Accomplish Goals.
Advertisements

You can use this presentation to: Gain an overall understanding of the purpose of the revised tool Learn about the changes that have been made Find advice.
Bridging Research, Information and Culture An Initiative of the Research and Planning Group for California Community Colleges Your Name Your Institution.
New Mexico Computer Science For All Designing and Running Simulations Maureen Psaila-Dombrowski.
Designing Scoring Rubrics. What is a Rubric? Guidelines by which a product is judged Guidelines by which a product is judged Explain the standards for.
Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.
Page 1© Crown copyright 2006ESWWIII, Royal Library of Belgium, Brussels, Nov 15 th 2006 Forecasting uncertainty: the ensemble solution Mike Keil, Ken Mylne,
CMU has been said to be the “most wired campus in the US” for two years in a row. What kind of impact does such a infrastructure has on the daily academic.
SIPR Dundee. © Crown copyright Scottish Flood Forecasting Service Pete Buchanan – Met Office Richard Maxey – SEPA SIPR, Dundee, 21 June 2011.
Exploring uncertainty in cost effectiveness analysis NICE International and HITAP copyright © 2013 Francis Ruiz NICE International (acknowledgements to:
Evaluating Inforce Blocks Of Disability Business With Predictive Modeling SOA Spring Health Meeting May 28, 2008 Jonathan Polon FSA
Chapter 13 Conflict and Negotiation
Artificial Intelligence in Game Design Introduction to Learning.
From requirements to design
1. Henry Laurence Gantt, A.B., M.E. ( November 1919) was a mechanical engineer and management consultant who is most famous for developing the.
Communicating and evaluating probabilities David Spiegelhalter MRC Biostatistics and Statslab CSI day: September 2011 With thanks to Mike Pearson and Ian.
Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 4: Modeling Decision Processes Decision Support Systems in the.
Lecture 5 CS171: Game Design Studio 1I UC Santa Cruz School of Engineering 18 Feb 2010.
17/12/2002 CHEBS Launch Seminar CHEBS Activities and Plans Tony O’Hagan Director.
Non-parametric Bayesian value of information analysis Aim: To inform the efficient allocation of research resources Objectives: To use all the available.
Randomness and Probability
Chapter 25 Asking and Answering Questions About the Difference Between Two Population Means: Paired Samples.
Practical Application of Retention Modeling Chuck Boucek, FCAS e.
Water Management Presentations Summary Determine climate and weather extremes that are crucial in resource management and policy making Precipitation extremes.
Key Performance Indicators, Centre Reports, and more Stephen McDonald.
Genderization of Social Media By: Rakhi, Lisa, Mary, and Tricia.
AIM Youth Advancing Integrated Microfinance for Youth Understanding How Youth Spend Their Time and Money: Lessons from Useful Research Tools Megan Gash.
1 Classroom-Based Research: How to Be a Researcher in Your Classroom Basic Skills Initiative Teaching and Learning Workshop October 2009 Darla M. Cooper.
Resource allocation for disability - NDA feasibility study Eithne Fitzgerald Head of Policy and Research National Disability Authority.
RESEARCH DESIGN.
Prepared by Poker Players Research Ltd. Methodology for Spring 2010 Wave Poker Players Research Limited.
V WHAT MOTIVATES PROSPECTIVE STUDENTS? EXAMINING THE DECISION- TO-ENROLL PROCESS A Collaboration between Datamark and Kaplan University.
Model Based DSS Creating Information Under Conditions of Uncertainty and Complexity Interface MODEL BASE DATA BASE MBMSDBMS DATA WAREHOUSING ON LINE ANALYTICAL.

Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals, and Objectives.
Comp 20 - Training & Instructional Design Unit 6 - Assessment This material was developed by Columbia University, funded by the Department of Health and.
Collider IT Project. Project Requirements  Create a fun and addictive online multiplayer game  Implement an Open Source physics engine (box2D)  The.
Searching for Extremes Among Distributed Data Sources with Optimal Probing Zhenyu (Victor) Liu Computer Science Department, UCLA.
What is On Demand Testing? How does it work? What information can you get from the Adaptive and Linear Tests? How can you use the information to create.
Internet Initiatives Presented by Jenny Canfield Director for Operations.
MBA7020_01.ppt/June 13, 2005/Page 1 Georgia State University - Confidential MBA 7020 Business Analysis Foundations Introduction - Why Business Analysis.
Copyright Catherine M. Burns
© 2008 Morningstar, Inc. All rights reserved. 3/1/2008 LCN Role of Immediate Annuities in Retirement.
1. Introduction c) Probit Model Communication of Uncertainty in Weather Forecasts Pricilla Marimo, Todd R. Kaplan, Ken Mylne and Martin Sharpe Format A.
Introduction to Information Skills & Systems Intro. to Information Systems.
Monte Carlo Process Risk Analysis for Water Resources Planning and Management Institute for Water Resources 2008.
Second Language Classroom Research (Nunan, D. 1990) Assoc. Prof. Dr. Sehnaz Sahinkarakas.
Assessing the Military Benefits of NEC Using a Generic Kill-Chain Approach David Nevell QinetiQ Malvern 21 ISMOR September 2004.
Probability Evaluation 11/12 th Grade Statistics Fair Games Random Number Generator Probable Outcomes Resources Why Fair Games? Probable Outcome Examples.
Interface Composition
Signup Process Buy or Sell Stocks Look it up by name Click [list] to search Wikinvest Wikipedia = general company information Wikinvest = History, Charts,
Statistical Reasoning
Strategic Intervention A novel use of Ensembles in Forecast Guidance
© Crown copyright Met Office Provision of Web Based Space Weather Services Catherine Burnett, ESWW-11, Liege, st November 2014.
Simulation in Healthcare Ozcan: Chapter 15 ISE 491 Fall 2009 Dr. Burtner.
Planning and Designing Effective Web Pages. When planning a new site Determine site goals 2. Identify the target audience 3. Conduct market research.
We won an award… but have we made a difference? Kim Stewart, Project Manager Baptist Community Services NSW &ACT.
Approaches Workbook Conditioned Games – Teacher Answers.
Details for Today: DATE:13 th January 2005 BY:Mark Cresswell FOLLOWED BY:Practical Dynamical Forecasting 69EG3137 – Impacts & Models of Climate Change.
 Prepare  Study the agenda  Study the minutes  Prepare for your contributions  Prepare to play a major role  List questions.
Module 9.2 Simulations. Computer simulation Having computer program imitate reality, in order to study situations and make decisions Applications?
Approaches to quantifying uncertainty-related risk There are three approaches to dealing with financial and economic risk in benefit-cost analysis: = expected.
Copyright 2015 John Wiley & Sons, Inc. Chapter 7 Budgeting: Estimating Costs and Risks.
SESRI Workshop on Survey-based Experiments
Maximum Expected Utility
Logistics OUTCOMES EVALUATION.
SESRI Workshop on Survey-based Experiments
Professor S K Dubey,VSM Amity School of Business
Strategic Intervention A novel use of Ensembles in Forecast Guidance
Presentation transcript:

© Crown copyright Met Office Towards an optimized communication of probabilistic weather forecasts via the internet Liz Stephens 1, Ken Mylne and David Spiegelhalter 2 1. University of Bristol, 2: University of Cambridge

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Project Brief Summary review existing ways of representing probabilistic information develop online surveys to ascertain user preferences for specific designs analyse the outputs provide recommendations regarding which designs work best with people from different demographic profiles

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Current representations Summary Metcheck yr.no Australia Probcast (UW) UK Met Office

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Objectives, scope and limitations Addressing assumptions: “the public don’t understand uncertainty” “uncertainty is too difficult to communicate” …everyday weather not extremes …basic representations …no implicit representations …temperature and rainfall only …6 months Can players make better decisions? How does this vary with presentation type? Demographic influences Preference vs understanding Summary

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Summary

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Deterministic Basic Rating Percentage (rounded) Range of values & percentage Probability distribution & percentage Summary

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Maximise participants Start & finish game Want to do well To share with friends Useful tests Correct decision (relative) Understanding of actual confidence Appropriate Consider theme, style and complexity Not too specific Appeal to all demographics Realistic Associate with real weather situations Hint at utility of uncertainty information Summary

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Age, postcode, gender… Randomly assign presentation type Multiple questions: expect different responses depending on presentation type Outcomes generated on-the-fly (based on probabilities) Only look at 1 st time players Quadratic scoring rule Summary

© Crown copyright Met Office Playing the game How confident are you about each shift – tests understanding of presentation

© Crown copyright Met Office Scoring Each shift is allocated an outcome randomly selected from the forecast distribution Element of luck! Amount of ice cream bought and sold depends on advice and outcome Total score at end of game:

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Summary Outcomes >8000 people – largest survey of its kind (aiming for 10,000+) Hope to be able to: Identify the percentage of correct answers from each presentation type Identify the skill score of confidence ratings for each presentation type Link this with demographics

© Crown copyright Met Office DeterministicProbabilistic Defining project Designing representations Developing game Running game Outcomes Intro Summary Early Results Brad makes more money with probabilistic forecasts!

© Crown copyright Met Office

Under Defining project Designing representations Developing game Running game Outcomes Intro Summary

© Crown copyright Met Office Defining project Designing representations Developing game Running game Outcomes Intro Summary Game carefully designed to answer a few simple questions Large sample achieved across different demographics Early results show benefit of probabilistic forecasts Detailed analysis of different presentations is underway Men over 55 do spectacularly badly! You have a few days left to play: Not too late to win a T-shirt! Thanks!