35 Odcinki

  1. Prof. Sarath Sanga (Northwestern) on the Origins of the Market for Corporate Law in the USA

    Opublikowany: 2.05.2022
  2. Prof. Erina Ytsma (Carnegie Mellon) on the Effects of Performance Pay in Knowledge Creation

    Opublikowany: 16.03.2022
  3. Discussing "A Network Theory of Patentability" with Prof. Laura Pedraza-Fariña (Northwestern)

    Opublikowany: 4.02.2022
  4. Discussing the Difficulty of Protecting Privacy in the Digital Age with Prof. Alessandro Acquisti (Carnegie Mellon)

    Opublikowany: 5.05.2021
  5. Talking with Prof. Melissa Wasserman about "A Prescription for Rising Drug Prices: Patent Office Reform"

    Opublikowany: 26.01.2021
  6. Prof. Luis Aguiar (UZH) on "Platforms, Power, and Promotion: Evidence from Spotify Playlists"

    Opublikowany: 8.12.2020
  7. Prof. Tobias Salz (MIT) on "The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR"

    Opublikowany: 20.11.2020
  8. Professors Christian Peukert (HEC) and Stefan Bechtold (ETH) on European Privacy Law & Global Markets for Data

    Opublikowany: 9.11.2020
  9. Discussing Competing Algorithms for Law with Prof. Saul Levmore

    Opublikowany: 3.11.2020
  10. Being Innovative in the 21st Century with Prof. Benjamin Jones

    Opublikowany: 12.12.2019
  11. Discussing copyright and creative incentives with Prof. Christopher Sprigman

    Opublikowany: 6.11.2019
  12. A double-click on EBITDA in syndicated loan debt covenants with Prof. Adam Badawi

    Opublikowany: 29.10.2019
  13. Ensuring Competition and Innovation in 3D Printing with Prof. Michal Gal

    Opublikowany: 24.10.2019
  14. Finding happiness in intellectual property with Prof. Christopher Buccafusco

    Opublikowany: 9.10.2019
  15. Exploring Biometric Privacy with Prof. Matthew Kugler

    Opublikowany: 24.09.2019

2 / 2

This podcast is brought to you by the ETH Zurich Center for Law & Economics. We discuss current topic in intellectual property law, the law of emerging technologies, experimental law & economics, law & tech, and machine learning.

Visit the podcast's native language site