Workshop on Collective Decision-making, Learning and Problem Solving
| May 16-17, 2019 |
| University of Maryland |
| Iribe Center for Computer Science and Engineering, Room 4105 |
| 8125 Paint Branch Drive, College Park MD 20740 |
| Thursday, May 16 | |
| 8:00 | REGISTER / BREAKFAST / COFFEE |
| 9:00 | Pedja Neskovic, ONR |
| 9:30 | Juho Kim, KAIST (Web presentation from Seoul, S. Korea)
Supporting Learning & Collaboration in Online Discussion |
| 10:00 | Rich Baraniuk, Rice University
Human-In-The-Loop Machine Learning
|
| 10:30 | BREAK |
| 11:00 | Jacob Whitehill and Neil Heffernan, WPI
A Bayesian Multi-Scale Personalized Learning Approach |
| 11:30 | Joseph Williams, University of Toronto
Enhancing Educational Resources using Multi-Armed Bandits for Crowdsourced & Dynamic Experimentation |
| 12:00 | Sharad Goel, Stanford University
Personalized Conversational Agents for Education
|
| 12:30 | LUNCH |
| 2:00 | Ariel Procaccia, CMU
Putting Ethical AI to the Vote |
| 2:30 | Chinmay Kulkarni, CMU
Peer Feedback in Online Labor Market
|
| 3:00 | Lirong Xia, RPI
A Mathematical Model For Optimal Decisions In A Representative Democracy |
| 3:30 | BREAK |
| 4:00 | Steve Dorton, Sonalyst
Visual Argumentation for Resolving Inefficiencies (VARI) |
| 4:30 | Mike McCloskey and Julio Mateo, 361 Inc.
Meet GECKOS - Generating Employee Crowdsourced Knowledge for Organizational Solutions
|
| 5:00 | Leonard Eusebi, Charles River Analytics
Group Learning and Optimization of Collaborative Workflows (GLOW) |
| 6:00 | RECEPTION |
| Friday, May 17 | |
| 8:00 | BREAKFAST / COFFEE |
| 9:00 | Mark Klein, MIT, (Web presentation from Tokyo)
Enabling Crowd-Scale Deliberation For Complex Problems |
| 9:30 | Ashish Goel, Stanford University
Markets for Public Decision Making
|
| 10:00 | Anna de Liddo, Open University, UK
Structured and Decentralised Discussion Systems for Distributed Decision Making |
| 10:30 | BREAK |
| 11:00 | Michael Bernstein, Stanford University
Solving Complex Tasks with Team-Based Crowdsourcing |
| 11:30 | Dan Weld, University of Washington
Context & Explanations in Collective Decision-Making |
| 12:00 | Niki Kittur, CMU
Distributed Sensemaking: Externalizing and Aggregating Structured Mental Representations |
| 12:30 | LUNCH |
| 2:00 | Rohit Vaish, RPI
Minimizing Time-to-Rank: A Learning and Recommendation Approach |
| 2:30 | Joan Feigenbaum, Yale University
PriFi: Tracking-Resistant, Intra-Organizational Networking |
| 3:00 | Bryan Ford, Swiss Federal Institute of Technology in Lausanne (EPFL)
Personhood.Online |
| 3:30 | Aaron Johnson, Navy Research Lab (NRL)
Privacy in Communication Networks
|