Dayton AESS Meeting
This talk discusses how humans interact over a social network and make decisions based on sensor information. Humans can be viewed as social sensors that input information to a social network. The interaction of social sensors present several challenges from a statistical signal processing viewpoint: sensors interact with and influence other social sensors resulting in herding behaviour. Second, due to privacy concerns, social sensors reveal quantized decisions (ratings, recommendations). Third, social sensors are risk averse decision makers with anticipatory emotions. This talk describes mathematical models for how social sensors interact over a social network, how social sensor decision-making can result in herding behaviour, and how herding can be mitigated by providing incentives to individual sensors. We will also discuss novel methods to poll social networks based on expectation polling and the friendship paradox. The seminar draws from ideas in statistical signal processing and behavioral economics.
Date and Time
Location
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- Date: 28 Jun 2018
- Time: 12:30 PM to 01:30 PM
- All times are (GMT-05:00) US/Eastern
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- Wright State University
- 3640 Colonel Glenn Highway
- Fairborn, Ohio
- United States 45324
- Building: Neuroscience Engineering Collaboration Building
- Room Number: 101
- Click here for Map
- Starts 13 June 2018 08:54 PM
- Ends 28 June 2018 12:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Professor Vikram Krishnamurthy, Cornell University of Cornell University
Sensing and Decision Making amongst Networked Social Sensors
Biography:
Dr. Krishnamurthy joined Cornell in 2016. Previously, he was a Canada Research Chair professor at University of British Columbia. Dr. Krishnamurthy is a Fellow of the IEEE. He was awarded an honorary doctorate from Royal Institute of Technology, Sweden. He was a Distinguished Lecturer for IEEE Signal Processing Society, and Editor in Chief of IEEE Journal Selected Topics in Signal Processing. He is also with the Center for Applied Math at Cornell.