Huge congratulations to Melody Dye for winning this year's David Marr Award from the Cognitive Science Society! The Marr Award is widely considered the most prestigious CogSci student award in the world...only one is given out each year for the best student paper. The award will be presented to Melody at the 2017 CogSci conference in London, UK.
Congrats to Dr. Janelle Szary, who leaves the lab next month to take up a prestigious Insight Data Science Fellowship in New York. Janelle will be working with the best in the world to bridge her computational skills from academia into industry to solve real problems!
Mike will present Modeling Human Learning to Inform Machine Learning as one of the invited plenary speakers at this year's High Performance Computing Symposium, Canada’s premiere Advanced Research Computing (ARC) conference, bringing together top researchers from across Canada and around the world, as well as major industry partners.
FOR IMMEDIATE RELEASE BLOOMINGTON, Ind. -- Can machines learn to think like children? An interdisciplinary team of cognitive scientists, neuroscientists and computer scientists at Indiana University Bloomington has received the campus’s inaugural Emerging Areas of Research funding award to explore that question. Called “Learning: Brains, Machines and Children,” the first Emerging Areas of Research initiative is led by Linda Smith, Distinguished Professor and Chancellor’s Professor of psychological and brain sciences in the IU Bloomington College of Arts and Sciences. The research team will receive up to $3 million for the four-year project.
Lab Alumus Dr. Brendan Johns, now Assistant Professor at University at Buffalo presented a keynote talk at this year's Society for Computers in Psychology, in Boston. Brendan was invited as part of this year's focus topic on Cognitive Technologies.
The title of Brendan's address was Content-Driven Machine Learning: Using Lexical Variability to Optimize Models of Natural Language, and this was the first introduction to the field of our new methodology for Experiential Optimization.
For this Featured Project, we're talking to Dave Vinson, a Ph.D. candidate in Cognitive and Information Sciences at the University of California, Merced.
Some of his recent work explored whether a basic psychophysiological phenomenon -- sequential dependence -- might be predictive of higher-level behavior in more naturalistic settings. He and his coauthors decided to tap into the massive Yelp dataset to understand the real-world effects of sequential dependence. In this interview, he shared his thoughts on the challenges and rewards of working with big data as a cognitive scientist.
Congrats to Dr. Tim Rubin, who is leaving his position in the lab to join the NLP Data Science Team at SurveyMonkey in Palo Alto.
Tim ran our lab's arm of the multisite NeuroSynth project for 4 years, and created the NeuroTopics approach to co-discovery of functional-anatomical brain regions and cognitive processes from the neuroimaging literature.