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CAASI helps students connect real world problems with quantitative methods, getting CS students to think about incentive problems and Econ students to think about computational and implementation issues, bringing community partners and their questions into the classrooms and helping students with non-quant background contribute their domain expertise to analytical approaches.
PIA 2550: Econ Meets CS: Matching Theory and Algorithm w/ Jinyong Jeong (SP’20, Wed 9am)
PIA 2550: Econ Meets CS: Matching Theory and Algorithm w/ Jinyong Jeong (SP’20, Wed 9am)
PIA 2202 Behavioral Economics and Game Theory w/ Sera Linardi (SP'21, SP’20, Tues 12pm)
PIA 2202 Behavioral Economics and Game Theory w/ Sera Linardi (SP'21, SP’20, Tues 12pm)
PIA 2466 R Data Visualization Capstone w/ Sera Linardi (SP'21, SP’20, Thurs 12pm)
PIA 2466 R Data Visualization Capstone w/ Sera Linardi (SP'21, SP’20, Thurs 12pm)
GSPIA + WPRDC Amazing Analytics Race w/ Sera Linardi (Orientation)
GSPIA + WPRDC Amazing Analytics Race w/ Sera Linardi (Orientation)
Econ Meets CS: Mechanism Design Reading Group w/ Jinyong Jeong (FA ’19, Tues 11am)
Econ Meets CS: Mechanism Design Reading Group w/ Jinyong Jeong (FA ’19, Tues 11am)
Visit from Tara Matthews, formerly from City of Pittsburgh Innovation and Performance
PIA 2023 class at the Carnegie Museum Hackathon
R visualization app demo, client: ICF & Allegheny County DHS
Behavioral economics and game theory (PIA 2202) case study talks
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