THANK YOU to all who contributed to the success of eLUCID8!

Data Science and Human Behavior  |  In the Lab and In the Wild

Wisconsin Institute for Discovery, Madison, WI
August 14th – August 15th, 2017

eLUCID8 featured interactive presentations, talks, and roundtables intended to discuss LUCID related projects and potential collaborations with government agencies, non-profits and industry groups.

Scroll down or click for the Agenda.

For communication during the conference (your questions, announcements and evaluation links) please sign up for eLUCID on Slack: https://join.slack.com/t/elucid8/signup

We truly appreciate and value your feedback. Please let us know what your experience was like at eLUCID8 in the following short surveys: Monday eLUCID8, Tuesday eLUCID8. Our students also respect and honor your feedback for their presentations. Please let us know what you think: LUCID Presentations


Keynote Speakers


Monday, August 14th

Bob Mankoff
Former Cartoon Editor of The New Yorker,
Present Cartoon and Humor Editor of Esquire

“Crowdsourcing Humor”

Humor is traditionally at the hands of its author. What happens when the audience picks the punchline?

Each week, on the last page of the magazine, The New Yorker provides a cartoon in need of a caption. Readers submit captions, the magazine chooses three finalists, readers vote for their favorites. It’s humor—crowdsourced—and with more than 3 million submissions provided by 600,000 participants, it provides tremendous insight as to what makes us laugh.

In a fast-paced and funny talk, Bob Mankoff, The New Yorker‘s cartoon editor, will analyze the lessons we learn from crowdsourced humor. Along the way, he’ll explore how cartoons work (and sometimes don’t); how he makes decisions about what cartoons to include; and what crowds can tell us about a good joke.


mozer-largeTuesday, August 15th
Michael C. Mozer
Department of Computer Science 
and Institute of Cognitive Science
University of Colorado

“Amplifying Human Capabilities on Visual Categorization Tasks”



We are developing methods to improve human learning and performance on challenging visual categorization tasks, e.g., bird species identification, diagnostic dermatology. Our approach involves inferring _psychological embeddings_ — internal representations that individuals use to reason about a domain. Using predictive cognitive models that operate on an embedding, we perform surrogate-based optimization to determine efficient and effective means of training domain novices as well as amplifying an individual’s capabilities at any stage of training. Our cognitive models leverage psychological theories of: similarity judgement and generalization, contextual and sequential effects in choice, attention shifts among embedding dimensions. Rather than searching over all possible training policies, we focus our search on policy spaces motivated by the training literature, including manipulation of exemplar difficulty and the sequencing of category labels. We show that our models predict human behavior not only in the aggregate but at the level of individual learners and individual exemplars, and preliminary experiments show the benefits of surrogate-based optimization on learning and performance.

This work was performed in collaboration with Brett Roads at the University of Colorado.

Michael Mozer received a Ph.D. in Cognitive Science at the University of California at San Diego in 1987. Following a postdoctoral fellowship with Geoffrey Hinton at the University of Toronto, he joined the faculty at the University of Colorado at Boulder and is presently an Professor in the Department of Computer Science and the Institute of Cognitive Science. He is secretary of the Neural Information Processing Systems Foundation and has served as chair of the Cognitive Science Society. He is interested both in developing machine learning algorithms that leverage insights from human cognition, and in developing software tools to optimize human performance using machine learning methods.



Monday August 14th

9:00-9:30      Welcome to eLUCID8 from our LUCID Director, Tim Rogers
9:30-10:30     Learning in Childhood with Jenny Saffran, Ed Hubbard and Chuck Kalish
10:30-10:45   Break
10:45-Noon    Machine Learning & Human Behavior with Varun Jog, Dimitris Papailiopoulos, Joe Austerweil and Jerry Zhu
Noon-1:30      LUNCH
1:30-2:15        Making Sense of the Ineffable with Karen Schloss and Paula Niedenthal
2:15-2:45       Data Science in the Wild with our Keynote Speakers Bob Mankoff and Michael Mozer
2:45-3:00       Break
3:00-4:15        Data Blitz
4:15-5:00       Poster and Movie Session
5:00-6:00      Posters, Mingling and Cash Bar
6:00-7:00      KEYNOTE: Bob Mankoff

Tuesday August 15th

9:30-10:30     Science Communication Panel with Veronica Reuckert, host of “Central Time” on WPR, Jordan Ellenberg, author of How Not to be Wrong: The Power of Mathematical Thinking, and Mark Seidenberg, author of Language at the Speed of Sight: How We Read, Why So Many Can’t, and What Can Be Done About It

10:30-12:00   LUCID Science Talks
12:00-1:00     LUNCH
1:00-1:45        University-Industry Partnerships  from Susan LaBelle, UW–Madison Office of Corporate Relations
1:45-2:00       Break
2:00-3:20      Data Science in the Wild with City of Madison, 4W, POLCO, and Lands’ End
3:20-4:00      Breakouts and Group Discussion
4:00-5:00      KEYNOTE: Michael C. Mozer


Posted in Events

CogSci 2018 Poster Design Contest for $100

Would you like to see your artwork displayed across the nation and the globe? Support a prestigious international scientific conference? Have a chance to win a cash prize of $100? If so, please submit your poster design for CogSci 2018 by June 12th!

The Cognitive Science Society is the world’s largest academic society focusing on how the mind works. In 2018 the CogSci annual meeting will be held in Madison, and we are seeking original artwork to advertise the conference. The conference title is ‘Changing Minds’ a focus that brings together disciplines such as cognitive psychology, machine learning, education, development, and neuroscience. Themes for the conference include:

changing minds: connecting human and machine learning
changing brains: neural mechanisms of cognitive change
changing knowledge: cognition, education, and technology
changing society: cognition, persuasion, and politics

We would like a poster that captures these themes with a compelling graphic, together with text providing further details about the event.

Here are examples from previous conferences:












For the poster text use llorum ipsum or dummy text to demonstrate font and color you recommend to work with your design elements. Please send PDF files to ceiverson@wisc.edu.

The competition due date is June 12. A shortlist will be determined via crowd-sourced adaptive sampling using the NEXT system, and the conference committee will select a winner by June 15.

Posted in Uncategorized

Rogers explains semantic impairments with neural networks

Using neural networks to understand healthy and disordered semantic cognition

In this video Tim Rogers explains how artificial neural networks can help to explain puzzling patterns observed in patients with a rare form of dementia in which knowledge about the meanings of words and pictures gradually erodes.
Posted in LUCID Library

Finding Meaning in Big Data

Binary VortexDiscovery Fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn. Full story at wid.wisc.edu.

Posted in LUCID, Machine Learning Tagged with: , , ,

How New Yorker Cartoons Could Teach Computers To Be Funny

Cnet Logo“The computer models Nowak and his team are developing are called adaptive crowdsourcing algorithms. They attempt to weed out the weakest captions as quickly as possible to get more people to vote on the potential winners.”

Full Story on C|net

Try the caption contest

Posted in LUCID, Machine Learning Tagged with: , ,

Podcasts showcase stories, science and secrets behind UW-Madison research

Bilge MutluImagine getting an intimate sneak peek at the research happening behind the scenes at one of the world’s largest research universities, as well as a glimpse at the human stories behind that research. Did we mention you can do it on your smartphone? Bilge Mutlu kicks off this initiative with the first mini-feature Birth of the Bots – See more at: http://news.wisc.edu/podcasts-showcase-stories-science-and-secrets-behind-uw-madison-research/#sthash.VhIjtZ3S.dpuf

Posted in LUCID, Science Narratives Project Tagged with: ,

The Science of Funny: Active Machine Learning & Cartoons

Niedenthal-550x367The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest. See full story on wid.wisc.edu.

Posted in LUCID, Machine Learning Tagged with: , ,

Rob Nowak talks Machine Learning to Blue Sky Science

Blue Sky Science: What is machine learning? from Morgridge Institute on Vimeo.

Rob Nowak lends his machine learning expertise to Morgridge Blue Sky Science Video.

Posted in LUCID Tagged with: ,