Decision Science News

PRESENTATION SUBMISSION DEADLINE JULY 8, 2019

The 8th Consumer Neuroscience Satellite Symposium of the Annual Conference of the Society for Neuroeconomics is taking place at the University College Dublin Michael Smurfit Graduate Business School, Ireland, on October 3, 2019, 11:30-7:00pm.

The purpose of the symposium is to take stock of the current knowledge at the intersection of business school research and neuroscience, provide ideas for future research, and allow interested researchers to meet and discuss research ideas.

For more information and submission go to:

http://www.neuroeconomics.org/consumer-neuroscience-symposium/

Keynote Speakers “Prediction of Real-World Behavior: From Individuals to Markets to Societies”:

• Laurette Dube, Marketing Department, McGill University, Canada
• Brian Knutson, Psychology Department, Stanford University, USA
• Dilip Soman, Rotman School of Management, University of Toronto, Canada

The submission for abstracts for oral and poster presentations is now open:

• Presentation submission deadline is July 8, 2019.
• Late Breaking Poster submission deadline is August 23, 2019.

Registration: The event is free but the number of seats is limited; submission and registration will open in April:

https://neuroeconomics.org/registration/

The event is sponsored by the University College Dublin Michael Smurfit Graduate Business School (GOLD SPONSOR) and Desautels Faculty of Management, INSEAD, Ross School of Business (SLIVER Sponsors)

We look forward to seeing you in Dublin,

• Laurette Dube, Desautels Faculty of Management, McGill University, Canada
• Aiqing Ling, INSEAD & University College Dublin Michael Smurfit Graduate Business School, Ireland
• Hilke Plassmann, INSEAD, France
• Julie Schiro, University College Dublin Michael Smurfit Graduate Business School, Ireland
• Carolyn Yoon, Ross School of Business, University of Michigan, USA

SUBMISSION DEADLINE JUNE 3, 2019

WHAT: HCOMP 2019: The Seventh AAAI Conference on Human Computation and Crowdsourcing
WHEN: Oct 28–30, 2019
WHERE: Skamania Lodge, Stevenson, Washington, USA
SITE:https://www.humancomputation.com

KEY DATES:

• • June 3, 2019: Abstract submission
  • June 5, 2019: Full papers due
  • August 2, 2019: Notification of acceptance
  • August 22, 2019: Final camera-ready papers due
  • October 28–30, 2019: Conference

OVERVIEW
The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019) will be held Oct 28–30 at Skamania Lodge in Washington State near the Columbia Gorge River, just 45 minutes from Portland, Oregon. This year is the 10-year anniversary of the very first HCOMP workshop in Paris, and to celebrate, there will be special events, talks, and panels throughout the conference.

HCOMP is the premier venue for disseminating the latest research findings on human computation and crowdsourcing. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in inviting, fostering, and promoting broad, interdisciplinary research. The field is particularly unique in the diversity of disciplines it draws upon and contributes to, ranging from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, to economics and the social sciences, all the way to digital humanities, policy, and ethics. We promote the exchange of advances in human computation and crowdsourcing not only among researchers, but also engineers and practitioners, to encourage dialogue across disciplines and communities of practice. Submissions may present principles, studies, and/or applications of systems that rely on programmatic interaction with individual people or crowds, or where human perception, knowledge, reasoning, or physical activity and coordination contributes to the operation of computational systems, applications, or services.

This year, we especially encourage work that generate new insights into the “human computation” side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness, and interpretability).

Topics of interest include:

– Crowdsourcing applications and techniques, including but not limited to: citizen science, collective action, collective knowledge, crowdsourcing contests, crowd creativity, crowd funding, crowd ideation, crowd sensing, crowdsourcing in computer vision, crowdsourcing in health, disaster response and relief, fact verification, gaming and gamification, incentives in crowdsourcing, knowledge bases, microtasks, prediction markets, wisdom of crowds

– Techniques that enable and enhance human-in-the-loop systems, making them more efficient, accurate, and human-friendly

– Studies that inform our understanding about the future of work, distributed work, the freelancer economy, and open innovation

– User studies about how people perform tasks individually, in groups, or as a crowd, including those drawing on techniques from human-computer interaction, social computing, computer-supported cooperative work, design, cognitive and behavioral sciences (psychology and sociology), economics, etc.

– Topics at the intersection of HCI and AI, including human-AI interaction, human-AI collaboration, AI interpretability, explainable AI, etc.

– Fairness, accountability, transparency, ethics, and policy implications for crowdsourcing and human computation

CALL FOR FULL PAPERS

Authors are invited to submit papers of up to 8 pages, plus any number of additional pages containing references only. Please see “Publication” below for number of allowed pages in the final proceedings.

All submitted papers must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal.

Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2019 Author Kit (http://www.aaai.org/Publications/Templates/AuthorKit19.zip) for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5″ x 11″) paper, using Type 1 or TrueType fonts. The AAAI copyright block is not required on submissions, but must be included on final accepted versions.

Electronic abstract and paper submission through the HCOMP-19 EasyChair paper submission site (available March 29, 2019) is required on or before the deadlines listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their abstracts or papers, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. Inquiries regarding paper receipt must be made no later than June 12, 2019.

All papers must be anonymized (include no information identifying the authors or their institutions) for double-blind peer-review.

Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials will be viewed only at the discretion of the reviewers, who are only obligated to read your paper itself.

At least one author of each accepted paper must register for the conference to present the work or acceptance will be withdrawn.

PUBLICATION

Accepted full papers will be allocated eight (8) pages in the conference proceedings; up to two (2) additional pages may be used at a cost to the authors of $275 per page. Final papers found to exceed page limits and or otherwise violating the instructions to authors will not be included in the proceedings. Authors will be required to transfer copyright of their paper to AAAI. Accepted full papers will be published in the HCOMP conference proceedings and included in the AAAI Digital Library.

CONFERENCE CO-CHAIRS

Edith Law, University of Waterloo
Jennifer Wortman Vaughan, Microsoft Research

ONLY THREE DAYS LEFT TO SUBMIT: DEADLINE APRIL 14, 2019

Introducing a competition for graph design! Can you design a graph that BEST conveys the magnitude of the difference between two groups? Enter your graph into the contest! Details can be found here (Deadline April 14, 2019):

http://amplab.colostate.edu/SYTYCG_S1/SYTYCG_Season1_ContestOverview.pdf

Please distribute to other groups and individuals who may be interested in participating. If the “first season” of this competition goes well and is fun, the organizers will have future graph competitions.

CALL FOR PAPERS. DEADLINE 1 MAY 2019

Decision Science News is happy to announce it is the on the Organizing Committee of:

What: Workshop on Behavioral Economics and Computation
Site: https://sites.google.com/view/behavioralec/
When: June 28, 2019
Where: Phoenix, AZ, in conjunction with the 20th ACM Conference on Economics and Computation (ACM EC ’19)

We solicit research contributions and participants for The 1st Workshop on Behavioral Economics and Computation, to be held in conjunction with the 20th ACM Conference on Economics and Computation (ACM EC ’19). The workshop will bring together researchers and practitioners from diverse subareas of EC, who are interested in the intersection of human economic behavior and computation, to share new results and to discuss future directions for behavioral research related to economics and computation. It will be a full-day workshop, and will feature invited speakers, contributed paper presentations and a panel discussion.

The gap between rationality-based analysis that assumes utility-maximizing agents and the actual human behavior in the real world has been well recognized in economics, psychology and other social sciences. In recent years, there has been a growing interest in conducting behavioral research across many of the sub-areas related to economics and computation to address this gap. In one direction, some of these studies leverage insights on human decision making from behavioral economics and social psychology literature to study economic and computational systems with human users. In the other direction, computational tools are used to study and gain insights on human behavior and a data-driven approach is sometimes used to learn behavior models from user-generated data.

The Behavioral EC workshop aims to bring together researchers and practitioners from diverse fields, including but not limited to computer science, economics, psychology and sociology, to exchange ideas related to behavioral research in economics and computation. In addition to sharing new results, we hope the workshop will foster a lively discussion of future directions and methodologies for behavioral research related to economics and computation as well as fruitful cross-pollination of behavioral economics, cognitive psychology and computer science.

We welcome studies at the intersection of economic behavior and computation from a rich set of theoretical, experimental and empirical perspectives. The topics of interest for the workshop are behavioral research in all settings covered by EC, including but not limited to:

• Behavioral mechanism design and applied mechanism design
• Empirical studies of economic behavior
• Boundedly-rational models of economic decision making
• Model evaluation and selection based on behavioral data
• Online prediction markets, experiments, and crowdsourcing platforms
• Hybrid human-machine systems
• Models and experiments about social considerations (e.g. fairness) in decision making
• Methods for behavioral EC: information aggregation, probability elicitation, quality control

Submission Deadline
May 1, 2019, 11:59pm PDT.

Acceptance Notification
May 20, 2019

Submission Information
We will give priority to new (unpublished) research papers, but will also consider ongoing research and recently published papers that may be of interest to the workshop audience. For submissions of published papers, authors must clearly state the venue of publication. Papers will be reviewed for relevance, significance, originality, research contribution, and likelihood to catalyze discussion. The workshop will not have archival proceedings but will post accepted papers on the workshop website. Position papers and panel discussion proposals are also welcome. At least one author of each accepted paper will be expected to attend and present their findings at the workshop.

Submissions can be in any format and can be up to 18 pages long (plus a title page and excluding appendices that can be arbitrarily long). We recommend the format of the EC submissions. The limit of 18 pages on the main body is an upper bound, and papers can be significantly shorter.

Submissions should be uploaded to the submission server no later than May 1, 2019, 11:59pm PDT.

Organizing Committee
Yiling Chen, Harvard University
Dan Goldstein, Microsoft Research
Kevin Leyton-Brown, University of British Columbia
Shengwu Li, Harvard University
Gali Noti, Hebrew University

More Information
For more information or questions, visit the workshop website:
https://sites.google.com/view/behavioralec/
or email the organizing committee: behavioralec2019@easychair.org

APPLICATION DEADLINE: APRIL 12, 2019

Machine learning is impacting the business world and the business research community. The CMU Summer Workshop on Machine Learning is intended to introduce junior researchers to the cutting-edge machine learning methods and their applications in the marketing and information systems research, and open up common ground for future discussions among researchers who are using or wish to use machine learning methods in their research.

The format of the workshop is a combination of lecture-style sessions, hands-on tutorials (directed primarily at doctoral students) and panel presentations. The lecture-style sessions and hands-on tutorials will cover the following topics:

• Supervised Learning
• Unsupervised Learning
• Graphical Models
• Deep Learning
• Reinforcement Learning
• Text, Image, Audio, Video mining
• Bayesian Machine Learning
• Causal Inference

Who should participate: The workshop is primarily intended for Ph.D. students in Consumer Behavior, Information Systems, Quantitative Marketing, or related business disciplines. We also welcome junior faculty members with an interest in machine learning methods to participate in the workshop.

Student application deadline is April 12, 2019.  We will admit a total of 50 students; accepted applicants will be notified by April 20, 2019.  Submit student application.

If there are more than two students who apply from the same school, we may ask the school to rank the students. Due to limited slots, we guarantee top 2 will be accepted, but depending on demand others may or may not be accepted to the workshop. Priority may be given to ISMS members.

Registration deadline is April 26, 2019:  Ph.D. Students $50, Faculty $200.

All attendees must cover their own travel expenses and hotel costs. Meals during the workshop will be provided.

Conference Chairs: Yan Huang (CMU, yanhuang@andrew.cmu.edu) and Xiao Liu (NYU, xliu@stern.nyu.edu)

SOCIETY FOR JUDGMENT AND DECISION MAKING NEWSLETTER

The quarterly Society for Judgment and Decision Making newsletter is available for download from the SJDM site:

http://sjdm.org/newsletters/

It features announcements, conferences, jobs, and very little else.

Enjoy!
Decision Science News / SJDM Newsletter Editor

DEADLINE MARCH 31, 2019

In 2006, the European Association for Decision Making (www.eadm.eu) was pleased to announce the creation of the Jane Beattie Scientific Recognition Award to honor the memory of our late colleague, Jane Beattie. The award is to be made every two years and is intended for researchers who have recently completed the first stages of their careers – defined operationally by those who are 5 to 10 years post-PhD (see below).

The award is bestowed in recognition of “innovation in decision research”, as broadly understood within the Subjective Probability, Utility and Decision Making (SPUDM) tradition. In practical terms, this means that candidates should submit to the committee (a) a statement of 1,000 words or less that makes the case for their innovation; (b) one paper in which the innovation is presented for a scientific audience; and (c) a copy of their curriculum vitae. Candidates should also provide a statement as to when, and from where they received their PhDs.

The winner will receive a prize of 1,000 EUR, a certificate, and be asked to make a presentation at SPUDM 2019 in Amsterdam (www.spudm2019.com).

To be eligible for this award, candidates must have completed their PhDs no sooner than 5 years before the end of the most recent SPUDM meeting and no more than 10 years before the same date. Thus, to be eligible for the seventh award that will be presented at SPUDM in August 2019, candidates should have received their PhDs between August 2007 and August 2012.

The papers will be evaluated by a committee appointed by the Board of EADM consisting of Andreas Glöckner (University of Cologne, chair), Mehdi Moussaid (MPI Berlin, previous award winner), Arndt Bröder (University of Mannheim), Peter Ayton (University of London), and Cilia Witteman (Radboud University Nijmegen). To be considered for this award, papers and statements should be submitted before March 31, 2019 to: andreas.gloeckner@uni-koeln.de

TEST YOUR ESTIMATION SKILLS

Click to enlarge

Suppose you are looking at the roughly normally distributed data above and you want to visually estimate the standard deviation.

What would you guess? 20? 35?

How would you do it?

In a past post we talked about tips for drawing a normal distribution.

In it, we noted that if you follow a normal curve to 5/8ths of the height of the bell, you’ll be at the ± 1 standard deviation marks.

So just measure up 5/8ths (we’ve drawn gridlines to make that easy), drop a line down to the x-axis and read off the standard deviation (making a small adjustment if it’s not 0 centered).

Click to enlarge

If you don’t like estimating 5/8ths, you can also try to identify the inflection point in the bell curve: the place where it goes from bending down to bending up. That occurs at exactly ± 1 standard deviations.

Applying those heuristics here, we’d estimate the standard deviation on this chart to be about 25 … and it is 25!

Another way to do this is to identify the range that encompasses about 99% of the data and divide by 6. Here the measurements run from -80 to 80 or about 160 units. This divided by 6 is 26.67.

Not too bad!

R CODE TO REPRODUCE CHARTS

KNOW THY INFLECTION POINT

Click to Enlarge

We have drawn a lot of sorry-looking normal distributions in our life. It’s a shape that’s hard to get down without a lot of practice.

Here’s a few tips that can make it easier.

• Start by marking out standard deviations on the x axis from -3 to +3
• At x=0, draw a point to be the top of the bell curve
• At ± 1 SDs draw points at about 5/8ths of the height
• At ± 2 SDs draw points at about 1/8th of the height
• At ± 3.25 SDs draw points on the X axis

Now, to get the bends right, we exploit the following cool fact: There is an inflection point at ±1 standard deviation. That is,

At 1 standard deviation, the curve stops bending down and starts bending up.

Draw through those points and voila, normal distribution!

You might be wondering if these tips are approximations or exact. The heights of the points are approximate but within 1-2% of the exact values. The inflection point at ± 1 SD is real. That’s right, the second derivative is 0 at exactly ± 1 standard deviation.

RELATED BUT DIFFERENT DSN POST
How to eyeball a standard deviation

R CODE FOR THE PLOTS

SUBMISSION DEADLINE 18 APRIL 2019

The 2019 IAREP/SABE conference on Economic Psychology and Behavioural Economics in Dublin, Ireland. The conference will be held on 1st-4th September, 2019.

You are invited to submit your extended abstract (max 1000 words) or full paper before April 18, 2019.

You can find the call for papers here: https://iarep.ucd.ie/call-for-papers/

You can find the conference website here: https://iarep.ucd.ie/