Web app, dashboard from U-M to inform Michiganders’ return to work
The web tools will help state officials identify potential hotspots as they reopen Michigan to business.
Research on human biases in AI learning earns best student paper award
The project demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.
How predictive modeling could help us reopen more safely
Graphical online simulation could spur more targeted COVID-19 protection measures.
Faculty Profile: Emily Mower Provost
Mower Provost talks about getting awards, doing industry research, understanding human behavior – and Star Wars.
K-12 online learning platform sees big rise in use
Daily webinars available for teachers interested in exploring the free customizable tools.
Nine CSE graduate students recognized by NSF Graduate Research Fellowship Program
The nine students represent a broad range of research areas in the department.
Michigan team competes in Amazon challenge to make AI more engaging
The team of twelve students is one of ten worldwide working to give Amazon’s Alexa more human-like conversational skills.
Learning the computational mindset – education researchers give perspective
The authors argue that modern children already think with computation after being shaped by the prolific digital tools that fill their lives
DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
Guzdial receives SIGCSE outstanding educator award
Guzdial is a leading expert in the field of computing education, and was one of its earliest researchers.
‘Air traffic control’ for driverless cars could speed up deployment
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.
Transforming tools for some into a language for all
The efforts of computing education researcher Mark Guzdial span the challenges facing a young field
CSE welcomes 9 new facultyGet to know the new arrivals.
Paper award for training computer vision systems more accurately
PhD student Jean Young Song offers an improved solution to the problem of image segmentation.
Study maps careers of CS PhDs using decades of data
The researchers identified movement between industry, academia, and government work, tracked the growth of important organizations, and built predictive models for career transitions and employer retention.
Computer science and business school students team up to create “intention” skill for Alexa
Inspired by a class on managing professional relationships, five recent University of Michigan graduates are developing an app that would mesh with Alexa to help nudge people when they’re out of sync with what they want.
“Stitching” together a web user from scattered, messy data
Even though we interact with different web services in different ways, there are clues in the data that can indicate trends and identify a unique profile.
Igor Markov named a top Quora writer for fifth year in a row
He has answered over 3800 questions on the Q&A site, with over 41 million views.
Mark Ackerman receives European CSCW Lifetime Achievement award
Prof. Ackerman recognized quite early how social context could harness computing technologies for the development of systems in expertise finding and sharing, as well as in collaborative information access.
Codeon is the intelligent assistant for software developers
With Codeon, developers can request help by speaking their requests aloud within the context of their Integrated Development Environment (IDE).
Kurator Will Help You Curate Your Personal Digital Content
Kurator is a hybrid intelligence system leveraging mixed-expertise crowds to help families curate their personal digital content, including videos and photos.
Movie design for specific target audiences
Researchers are working to design a successful movie that will attract the interest of a targeted demographic by leveraging user ratings, reviews, and product characteristics.
CHORUS: The Crowd-Powered Conversational Assistant
Researchers have developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system.
Social interaction patterns provide clues to real life changes
The identified changes in social media behavior may point to real events and changes, some of which can benefit from intervention.
Sang Won Lee receives Rackham Predoctoral Fellowship for research into facilitating collaboration for creative and artistic tasks
Lee investigates how we can coordinate collaboration among users and crowd workers, especially for complex tasks that require creativity.
Walter Lasecki and collaborators win Best Paper at W4A
The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.
Emily Mower Provost Receives Oscar Stern Award for Research in Emotion Expression and Perception
The proposed work investigates computational methodologies to differentiate emotion perception patterns of healthy controls and individuals with Major Depressive Disorder or Bipolar Disorder.
Patrick O’Keefe awarded NSF Graduate Research Fellowship
“I am confident we can do better than the ubiquitous keyboard and mouse paradigm, and I intend to find out how,” said O’Keefe.