Internship - Conceptual Modeling and Application

Tags: internship Law English Ecology Environment
  • Added Date: Tuesday, 27 June 2023
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Internship - Conceptual Modeling and Application

The IIASA Advancing Systems Analysis (ASA) Program is offering this internship for up to six months (minimum duration three months). This internship could also be done on a part-time basis.

Background

The ASA program aims to advance agile, realistic, and relevant systems-analytical tools and methods, and facilitate a shared understanding of the capabilities and limits of these tools and methods with end users. We are looking for a research intern for period of three months to six months to support our project ECOANTITRUST. The internship will be carried out at the IIASA premises in Austria (remote working outside of Austria will not be possible).

The successful candidate will support the advancement of our new conceptual framework which derives theories, models, and methodological tools from ecology and other natural sciences disciplines to facilitate regulatory insights on the complexity and dynamism of the digital economy. The conceptual framework connects the domain of ecology to the domain of the digital economy by understanding both as part of Complex Adaptive Systems (CASs). In doing so, ECOANTITRUST informs novel regulatory tools for policymakers to apply such that they can better identify and penalize anti-competitive behavior, gatekeeping, killer acquisitions, and other such behaviors by digital platforms which infringe long-term social or economic welfare.

The internship will focus on the refinement and application of the ECOANTITRUST framework on specific antitrust case studies and/or structures of digital platforms and ecosystems. Depending on the interests of the candidate there is a possibility to work with empirical data. An interest in the scientific content of the CAS theory or on the digital economy is a requirement.

tasks

The successful candidate will collaborate closely with researchers in the ASA Program in addressing the following tasks:

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