Monday, February 20, 2017

Real-Time Crowdsourcing for Complex Tasks

Title: Real-Time Crowdsourcing for Complex Tasks
Speaker: Walter Lasecki, Assistant Professor, University of Michigan
Date: Tues, Feb 21
Time: 12:30-1:30
Room: NSH 1507
Abstract:
Creating robust intelligent systems that can operate in real-world settings at super-human performance levels requires a combination of human and machine contributions. Crowdsourcing has allowed us to scale the ubiquity of these human computation systems, but the challenges in mixing human and machine effort remain a limiting factor of these systems. My lab’s work on modeling crowds as collective agents  has helped alleviate some of these challenges at a system level, but how we can create cohesive ecosystems of crowd-powered tools that together solve more complex and diverse needs remains an open question. In this talk, I will discuss some initial and ongoing work that aims to create complex crowdsourcing systems for applications that cannot be solved using only a single tool. 

Bio:
Walter S. Lasecki is an Assistant Professor of Computer Science and Engineering at the University of Michigan, Ann Arbor, where he directs the Crowds+Machines (CROMA) Lab. He and his students create interactive intelligent systems that are robust enough to be used in real-world settings by combining both human and machine intelligence to exceed the capabilities of either. These systems let people be more productive, and improve access to the world for people with disabilities. Dr. Lasecki received his Ph.D and M.S. from the University of Rochester in 2015 and a B.S. in Computer Science and Mathematics from Virginia Tech in 2010. He has previously held visiting research positions at CMU, Stanford, Microsoft Research, and Google[x].​


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