The Philosophy of Data Science: Data Science Governance

E-Mail Adresse für Einreichungen: m.konopnicka@fs.de
Deadline: 31.01.2022
Call-Bezeichnung: Call for Abstracts
Ort: Frankfurt a. M.
Datum: 10.06.2022
Ende: 11.06.2022 --:--
Veranstaltende Institution: Frankfurt School of Finance and Management

This conference aims to bring together researchers from ethics, political philosophy, and philosophy of science to discuss questions surrounding the governance of data science. The conference’s guiding question is how to conduct, design and regulate data science for the public good. The proper guidance of data science requires the formulation of both moral and legal norms and frameworks, which may guide individuals, private corporations, as well as public and political institutions. The conference will approach this topic by looking at a range of different domains, exploring the specific challenges they raise and how they might call for different, custom-made solutions.


We invite researchers working on questions related to data science governance to submit proposals for 30-40-minute talks to apply for one of four open slots.


Submissions should include:

- an anonymized abstract of no more than 1.000 words.

- name and affiliation in the email.


Submissions should be sent to:

Mago Konopnicka (m.konopnicka@fs.de).


Confirmed speakers:

David Danks, Boris Babic, Sabina Leonelli,

Kate Vredenburgh



Sebastian Köhler, Peter Königs, Gregory Wheeler


The conference is sponsored by the Centre for Human & Machine Intelligence (HMI) at the Frankfurt School of Finance & Management, and is part of the project group Regulatory Theories of Artificial Intelligence, which is part of the German state Hesse’s Centre for Responsible Digitality (ZEVEDI).




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