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WIND SPEEDS UP HEAT LOSS
Twenty years ago, a German colleague asked me what the deal was with wind chill. I guess they didn’t have it in Germany. I explained it was an attempt to communicate how it feels when there is a low temperature combined with wind. But my colleague wanted to know how they get the values in charts like these:
If you look closely at the first chart, it gives the formula for wind chill. It looks pretty hairy but it’s just a function of two things: wind speed and temperature. The windchill in Fahrenheit is just:
(Note that windchill is only defined for temperatures below 50°F and wind speeds above 3 mph.)
But where does this equation come from? This brochure has the answer. Researchers put sensors on people’s faces and had them walk in wind tunnels:
During the human trials, 6 male and 6 female volunteers were placed in a chilled wind tunnel. Thermal transducers were stuck to their faces to measure heat flow from the cheeks, forehead, nose and chin while walking 3 mph on a treadmill. Each volunteer took part in four trials of 90 minutes each and was exposed to varying wind speeds and temperatures. The NWS Wind Chill Temperature (WCT) index uses advances in science, technology, and computer modeling to provide an accurate, understandable, and useful formula for calculating the dangers from winter winds and freezing temperatures. The index does the following:
Calculates wind speed at an average height of 5 feet, the typical height of an adult human face, based on readings from the national standard height of 33 feet, typical height of an anemometer
Is based on a human face model
Incorporates heat transfer theory based on heat loss from the body to its surroundings, during cold and breezy/windy days
Lowers the calm wind threshold to 3 mph
Uses a consistent standard for skin tissue resistance
Assumes no impact from the sun, i.e., clear night sky.
A common misunderstanding is to assume that the wind can make something colder than the outside temperature. That can’t happen. Wind just speeds up the chilling process.
Ok, this is all fine, but we wanted a chart that would 1) make it easier to see the effect of the wind speed and temperature and 2) show the wind chill effect for typical February weather in New York and Chicago. We coded up the following:
click to enlarge
Note that in this chart, the Y axis isn’t the temperature, it’s the difference between the outside temperature and the windchill: the number of degrees you need to subtract.
So, when the wind is 10 miles per hour (red line), and the temperature is 25 degrees (x axis value of 25), the effect of wind chill is to lower the perceived temperature by 10 degrees (y axis value of -10), but at the same temperature when the wind is 25 miles per hour (blue line), wind lowers perceived temperature by about 16 degrees.
A useful takeaway is that with average winds and average temperatures, the effect of windchill is to lower the perceived temperature by about 7-12 degrees.
(BTW, if you like this stuff, you might enjoy our post on the heat index.)
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APPLICATION DEADLINE MARCH 17, 2019
We are delighted to announce that the 18th Summer Institute on Bounded Rationality will take place June 11 – 19, 2019, at the Max Planck Institute for Human Development in Berlin, Germany.
The Summer Institute brings together talented young researchers and renowned scientists from around the globe and aims to spark a dialogue about decision making under the real world constraints of limited time, information, or computational power. The Summer Institute offers a forum for young scholars from various disciplines to share their approaches, discuss their research, and to inspire each other. The program will cover the fundamentals, methodology, and recent findings on bounded rationality.
The theme of 2019 is bounded rationality in a digital world. This year, we will approach the topic of bounded rationality in the context of recent technological developments and rapidly changing informational environments, as well as the new challenges they present to human rationality and decision making. The keynote talks will be given by Stephan Lewandowsky, University of Bristol; Oliver Brock, Technical University of Berlin; and Iyad Rahwan, Max Planck Institute for Human Development in Berlin.
On behalf of the directors of the Summer Institute, Gerd Gigerenzer and Ralph Hertwig, we invite young scholars of decision making from all fields to apply. Participation is free, accommodation is provided, and travel expenses will be partly reimbursed.
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DEADLINE MARCH 9, 2019
The annual conference of the Behavioral Science & Policy Association (BSPA) will be held on June 14, 2019 in New York City, NY. Attendees include leading behavioral scientists, policy makers, behavioral science consultants, private and public sector executives, and members of the media.
BSPA seeks proposals by March 9 , 2019 for short (TED talk style) presentations highlighting research in six key areas in which behavioral scientists could have significant influence on policy. These include:
Education & Culture, Energy & Environment Financial Decision Making Health Justice & Ethics Management & Labor
The short presentation session is designed to inform and influence academics, policy makers, and managers. Presentations may demonstrate recent key research findings (potentially from multiple papers) with meaningful implications for policy and practice and need not present new work-in-progress. These presentations should not be highly technical.
TEST WHETHER PREDICTION MARKETS PREDICT REPLICATION AT YOUR JOURNAL
Replication
This week we present a letter from a group embarking on an interesting project in which journals work with the team in order to test the effectiveness of prediction markets for predicting how well experiments replicate.
“Recent attempts to systematically replicate samples of published experiments in the social and behavioral sciences have revealed disappointingly low rates of replication. Many parties are discussing a wide range of options to address this problem.
Surveys and prediction markets have been shown to predict, at rates substantially better than random, which experiments will replicate. This suggests a simple strategy by which academic journals could increase the rate at which their published articles replicate. For each relevant submitted article, create a prediction market estimating its chance of replication, and use that estimate as one factor in deciding whether to publish that article.
The Replication Markets Team seeks academic journals to join us in a test of this strategy. We have been selected for an upcoming DARPA program to create prediction markets for several thousand scientific replication experiments, many of which could be based on articles submitted to your journal. Each market would predict the chance of an experiment replicating. Of the already-published experiments in the pool, approximately one in ten will be sampled randomly for replication. (Whether submitted papers could be included in the replication pool depends on other teams in the program.) Our past markets have averaged 70% accuracy, and the work is listed at the Science Prediction Market Project page, and has been published in Science, PNAS, and Royal Society Open Science.
While details are open to negotiation, our initial concept is that your journal would tell potential authors that you are favorably inclined toward experiment article submissions that are posted at our public archive of submitted articles. By posting their article, authors declare that they have submitted their article to some participating journal, though they need not say which one. You tell us when you get a qualifying submission, we quickly tell you the estimated chance of replication, and later you tell us of your final publication decision.
At this point in time we seek only an expression of substantial interest that we can take to DARPA and other teams. Details that may later be negotiated include what exactly counts as a replication, whether archived papers reveal author names, how fast we respond with our replication estimates, what fraction of your articles we actually attempt to replicate, and whether you privately give us any other quality indicators obtained in your reviews to assist in our statistical analysis.
Please RSVP to: Angela Cochran, PM acochran@replicationmarkets.com 571 225 1450
Sincerely, the Replication Markets Team
Thomas Pfeiffer (Massey University) Yiling Chen, Yang Liu, and Haifeng Xu (Harvard University) Anna Dreber Almenberg & Magnus Johannesson (Stockholm School of Economics) Robin Hanson & Kathryn Laskey (George Mason University)”
OES is a team of applied researchers tasked with building insights from the social and behavioral sciences into federal programs, and testing and learning what works. The work and role of OES are unique – directly designing, implementing and analyzing evidence-based interventions and randomized evaluations in a large-scale federal policy environment. OES Fellows apply promising interventions at a national scale, run large-scale tests reaching millions of people, and work closely with key decision makers in government. Fellows shape their own high-impact portfolio of work, design and direct projects, author academic publications, and benefit from a dynamic team and flexible Federal work environment.
Over the past four years, OES has completed over 60 randomized evaluations with agency partners. For more information on our portfolio to date, go to https://oes.gsa.gov/work/.
Please consider applying and pass this opportunity along. The deadline to submit an application is 11:59 pm EST Sunday, December 30, 2018.
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CALL FOR PAPERS. DEADLINE MARCH 3, 2019
On June 24-25, 2019, Erasmus University Rotterdam will host the 14th Annual Tinbergen Institute Conference in Rotterdam, The Netherlands. The theme of this year is “Bayesian Crowd”.
Topics
This conference is unique in that it brings together people from different backgrounds (economics, psychology, computer sciences, decision analysis) who work on truth-telling or wisdom of crowds, broadly speaking. It offers two days to mingle and present the latest breakthroughs on Bayesian and behavioral methods to elicit true answers from individuals and crowds:
scoring and incentives
Bayesian truth-serum and related mechanisms
behavioral approaches to promote truth-telling
crowds
individuals
wisdom of crowds and judgment aggregation
prediction markets
identifying experts
Keynote Speakers
David Budescu, Fordham University
Anna Dreber Almenberg, Stockholm School of Economics
Boi Faltings, École polytechnique fédérale de Lausanne
Abstract Submission Deadline: March 3, 2019 (Sunday) midnight.
The organizing committee will select papers for presentation at the conference based on abstracts.
All abstracts should be submitted online at http://bayesiancrowd.com/abstract-submission.
We encourage early submissions, and decisions about the abstracts will be communicated on a rolling basis to the authors, and latest by March 17, 2019.
Travel awards will be available for PhD students and junior faculty, covering flights and accommodation. Applications to travel awards should be made with the abstract submission.
More details about the conference, registration, travel awards and accommodations can be found at: http://bayesiancrowd.com/
If you have any additional questions, please do not hesitate to contact us by email: Christina Månsson, Tinbergen Institute, tinbergen at tinbergen.nl
Organizing Committee
Aurelien Baillon, Erasmus University Rotterdam
Drazen Prelec, MIT
Dennie van Dolder, VU Amsterdam
Tong Wang, Erasmus University Rotterdam
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RLDM 2019 WORKSHOP SUBMISSIONS DUE MARCH 1, 2019
The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019) will be held in Montréal, Canada, from July 7-10, 2019. Workshops are a new addition to the RLDM program, and will be held on the last afternoon of the meeting, Wednesday July 10, from 1pm to 5pm.
We invite researchers interested in chairing one of these workshops to submit workshop proposals. The goal of the workshops is to encourage interdisciplinary discussion and provide an informal forum for researchers to discuss important research questions and challenges. Controversial issues, open problems, and comparisons of competing approaches are encouraged as workshop topics.
We also invite both standard and innovative/non-standard formats, such as invited oral presentations, panel discussions, data modeling challenges, hackathons, debates, and workshops aimed at improving communication between researchers from different fields rather than presenting novel research.
Workshop organizers have several responsibilities, including coordinating workshop participation and content as well as providing the program for the workshop in a timely manner.
Due to the short length of the workshops, we discourage poster sessions.
Submission Instructions
To submit a workshop proposal, please e-mail your submission to Sam Gershman (gershman at fas.harvard.edu) by 23:59 UTC on Friday, March 1st, 2019. Notifications will be provided by March 15, 2019.
Proposals should clearly specify the following:
* Workshop title and acronym if available
* A brief description of the workshop focus, emphasizing why this workshop would appeal to the diverse RLDM audience
* A short description of the format of planned activities (talks, panels, invited speakers, activities, etc.)
* A list of which invited speakers have confirmed their willingness to participate
* A list of organizers with email addresses, web page URLs
RLDM will not be able to provide travel funding for workshop speakers. In other venues, some workshops have sought and received funding from external sources to bring in outside speakers and RLDM is open to that model.
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DEADLINE DECEMBER 1, 2018
This is a reminder about the Judgment and Decision Making Preconference in Portland on February 7th, 2019. The JDM Preconference will explore research at the intersection of social and personality psychology and judgment and decision making research. We hope that you plan to join us there!
The deadline for poster and data blitz submissions is only a few days away on December 1st, 2018 at 11:59pm EST.
To submit a poster for consideration, please send the title of your poster, all authors, a 200 word (max) abstract, and one figure or table of data to jdmspsppreconference@gmail.com.
Selected presentations will also be given the opportunity to present a 10-minute “data blitz” talk during the preconference. To be considered for the data blitz, please indicate that the first author is student in your poster submission.
Our scheduled speakers include:
Craig Fox
George Loewenstein
Christopher Olivola
Jane Risen
Juliana Schroeder
Anuj Shah
Mary Steffel
Abigail Sussman
To register for the conference, or for more information, please visit the preconference website at: meeting.spsp.org/preconferences/judgment
Hope to see you all in Portland!
Organizers:
Alex Imas, David Tannenbaum, and Elanor Williams
The European Association for Decision Making’s de Finetti Award has, since 1995, recognized outstanding work by PhD student researchers in the area of decision making.
The winner will receive a prize of 750 Euros, a certificate, and be asked to make a presentation at SPUDM 2019 in Amsterdam http://www.spudm2019.com
USEFUL INFORMATION
– Only PhD students who did not have their PhD at the time of the last SPUDM conference (August 2017) are eligible.
-The PhD student should be the sole or first author and the work should be mainly that of the student. If co-authored, the paper is accompanied by a signed statement (PDF) from the co-author(s) to the effect that the student is credited as the primary source of ideas and the main author of this paper;
-The paper can be either published or unpublished at the moment of submission for the de Finetti competition. There is no longer a requirement that the paper be unpublished.
– Submissions in dissertation format will not be considered, but articles based on a dissertation are encouraged.
– Only one paper may be submitted per applicant;
– There will be blind review. Applicants are asked for two versions of the submitted paper: an anonymous and a non-anonymous version.
– The anonymous version should be formatted as a manuscript (i.e., not a published journal article) with figures and tables integrated into the text. Please remove with names, affiliations, and author notes removed for blind review.
– The non-anonymous version should contain names, affiliations, and author notes and can be formatted however the author chooses.
The papers will be evaluated by a committee appointed by the Board of EADM consisting of Tim Pleskac (chair), Johann Majer (previous award winner), Ellen Peters, Tim Rakow, Tomás Lejarraga, Ilana Ritov.
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