Institute Research Seminar
The weekly Research Forum of the Institute of Economics provides a vibrant space for faculty, researchers, guest lecturers and doctoral students to present their latest work and receive valuable feedback from a supportive yet intellectually rigorous community. Its aim is to strengthen scientific collaboration within the institute, inspire new research directions, and foster high-quality academic output. The regular talks also offer insights into international trends and help sustain the dynamic research atmosphere of the institute.
Time slot: Wednesdays, 11:40-12:40
Location: E.218 (H-1093 Budapest, Fővám sqr 8.)
The next lecture in the series
| Date | Speaker | Affiliation | Title and Abstract |
| December 10 (Financed by NDRI STARTING-24 150299) | Alexander Wagner | University of Salzburg | Human-Algorithm Collaboration in Planning Tasks Daniel Garcia (Universität Wien), Alexander Guggenberger (University of Salzburg), Juha Tolvanen (Università di Roma Tor Vergata), and Alexander K. Wagner (University of Salzburg) We study the design of human–algorithm collaboration in a demand-planning setting where humans and algorithms possess complementary information and capabilities. We focus on two central frictions that limit collaborative performance: behavioral biases in human planning and structural distortions in how private information is transmitted between humans and algorithms. Using a controlled online experiment, we compare alternative collaboration designs, from human override of algorithmic recommendations to full delegation of the final decision to the algorithm, to evaluate how different allocations of decision authority affect planning performance. Our results show which designs most effectively mitigate behavioral and structural frictions and reveal how these frictions manifest through information-processing and information-transmission effects. Together, these findings clarify the key trade-offs in allocating decision authority between humans and algorithms and provide guidance for designing effective human–algorithm collaborations in economic decision making. |