Please register for eLUCID8
Wisconsin Institute for Discovery, Madison, WI
August 14th – August 15th, 2017
eLUCID8 will feature interactive presentations, talks, and roundtables intended to discuss LUCID related projects and potential collaborations with government agencies, non-profits and industry groups.
Monday, August 14th
Former Cartoon Editor of The New Yorker,
Present Cartoon and Humor Editor of Esquire
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.
Tuesday, August 15th
Michael C. Mozer
Department of Computer Science
University of Colorado
“Predicting and boosting memory retention”Cognitive psychology has long aimed to understand mechanisms of human memory, with the hope that such an understanding will yield practical techniques that support long-term retention of newly learned material.
Mozer 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.
He argues that despite the power of big data, psychological theory provides essential constraints on models. In a year-long intervention in middle-school foreign language courses, he demonstrates the value of adaptive review that leverages data from a population of learners to personalize recommendations based on an individual’s study history and past performance. Mozer will also present ongoing work that leverages theories of human memory to improve recurrent neural nets that predict event sequences.
This work is a joint collaboration with Robert Lindsey and Karl Ridgeway 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.
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 firstname.lastname@example.org.
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.
Discovery 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.
“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
Imagine 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
The 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.
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.