All You Can Eat Data Will we be Gourmets or Gluttons? TECO/[email protected] 1 Essential Element of the Forecast System TECO/[email protected] 2 All You Can Eat Data Concept from the Smartphone Industry TECO/[email protected] 3 All You Can Eat Data Concept from the Smartphone Industry But terms and conditions usually apply… TECO/[email protected] 4 All You Can Eat Data Concept from the Smartphone Industry But terms and conditions usually apply… TECO/[email protected] 5 All You Can Eat Data …but why would you want more of something than you actually need??? TECO/[email protected] 6 All you an eat.. TECO/[email protected] 7 All you an eat.. • Maybe 60 to 70 individual items to choose from. • How many did you pick? • Probably no more than 6 to 8 • The chef did not know in advance just what you wanted.. TECO/[email protected] 8 All you an analyse.. TECO/[email protected] 9 All you an analyse.. • Perhaps 300 weather observations • Each containing 15-20 individual elements of information • Perhaps 5,000 individual information elements • Maybe 10-20 tell us something new! TECO/[email protected] 10 All you an analyse.. • Weather Charts tell us something about the power of presentation in organising data to promote good decision-making. • Use of weather data in analysis also tells us something about the strengths and weaknesses of human and machine analysis TECO/[email protected] 11 The Explosion of Data • Weather Data – Minute-by-minute observations – Multi-channel satellite imagery (and many combinations thereof..) – Radar, Lidar, and other remote sensing TECO/[email protected] 12 The Explosion of Data • Impact Data – Damage Reports – Traffic Flows – Power Disruption – Flood extent and depth – Airport Delays TECO/[email protected] 13 The Explosion of Data • Impact Data – Text Reports – Images – Videos • Increasingly, a lot of this “soft” data is on social media. TECO/[email protected] 14 The Human Dimension • What do we know about how humans process information and make decisions? • Not an awful lot! • Work of Kahneman and Tversky – Israeli Psychologists – Studied decision-making in the 1970’s – Particular study of military decision-making TECO/[email protected] 15 Work of Kahneman and Tversky • The human mind has two modes of working – fast and slow. • Fast – from our evolution – Monitoring the senses – Keeping us safe – Fast, but shallow thinking – Very poor at assessing complex probabilities TECO/[email protected] 16 Work of Kahneman and Tversky • Slow – a very human capability – Deep thought and study – Uses a lot of energy! – We tend to avoid it where possible – “Thinking so hard my head hurts” TECO/[email protected] 17 Behavioural Science • Thinking Fast – how most decisions are taken – Humans tend not to examine all available information in a structured and dispassionate way – Use “Heuristics” or “Rules of Thumb” to arrive at decisions (Cheat Sheets) – Make unconscious decisions as to the worth of different elements of information – Presentation greatly affects these decisions TECO/[email protected] 18 Behavioural Science • Forecast Decisions – typically made quickly Fast Decisions • The only way a forecaster can assimilate all that data and come to a forecast / warning decision • We may presume that users act similarly TECO/[email protected] 19 Behavioural Science • Training and experience enable an “Expert” to condense years of study and experience into a quick judgement • Non-experts find this much more difficult • From “Slow thinking process” to “Fast Judgement” is a learned skill TECO/[email protected] 20 Behavioural Science • The problem lies in the “biases” • Every person has biases, or blind-spots, and these affect especially our “fast” decisions. • The human attention-span is very short – it has been estimated at 8 secs! TECO/[email protected] 21 Longer Attention-Span? • Estimated at 9 secs!! TECO/[email protected] 22 Behavioural Science • We really don’t know a lot about: 1. The mental procedure with which forecasters process information when they come to make forecast and warning decisions; 2. How people use these warnings, and how they modify their behaviour accordingly. • Now we are proposing to throw a lot more data at both forecasters and users TECO/[email protected] 23 Behavioural Science • It’s not all bad news! • One of the stronger known biases that people have is the “confirmation bias” – People will not make a decision to evacuate with information from just one source. They look for confirmation from other sources – Information on Social Media offers another source TECO/[email protected] 24 Behavioural Science • Back to SmartPhones… • Decisions to evacuate or take other significant actions in face of danger are “Fast” decisions – like “Fight or Flight” decisions • SmartPhones engage that “Fast” part of our brain behaviour – sampling and gathering large amounts of superficial data TECO/[email protected] 25 Behavioural Science • SmartPhones and Social Media offer a perfect medium to disseminate supporting information to “official” warnings which will back up and provide additional depth to those warnings. • We have to learn to use these new paradigms of communication wisely TECO/[email protected] 26 Behavioural Science • Kahneman again: “….I gave up on decision analysis. No-one ever made a decision because of a number. They need a story” “….the understanding of numbers is so weak that they don’t communicate anything” TECO/[email protected] 27 Thank you 谢谢 TECO/[email protected] 28
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