About adham

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So far adham has created 28 blog entries.

Patrick Allo

Patrick Allo’s main research is in logic and the philosophy of information.

Brent Mittelstadt

Brent Mittelstadt research addresses the ethics of algorithms, machine learning, artificial intelligence and data analytics (‘Big Data’).

Mariarosaria Taddeo

Mariarosaria Taddeo's main research areas are information and computer ethics, philosophy of information, philosophy of technology, ethics of cyber-conflict, cyber-security, and applied ethics.

Luciano Floridi

Luciano Floridi‘s research areas are the philosophy of Information, information and computer ethics, and the philosophy of technology.

VIME: Viral Messaging, its Nature and Dynamics

5 March 2015 1 January 2017 Professor Luciano Floridi Tencent Viral messaging has been increasingly popular since the late 90s, as a rather aggressive marketing technique. During the past decade, the exponential growth of social networks and other internet-based communication services has transformed viral messaging into a communication [...]

GLO: GoodLife Online

5 March 2015 1 January 2017 Professor Luciano Floridi Tencent Individuals living in information societies, like China or the United Kingdom, increasingly perceive their personal identity online (PIO) not just as their personal information available online, but also as who they are online. For them, the quality of [...]

ROADMAP: Real World Outcomes Across the Alzheimer’s Disease Spectrum for Better care, Multi-modal Data Access Platform

1 November 2016 31 October 2018   Dr Brent Mittelstadt   European Commission ROAPMAP aims to create the conditions for an open collaboration among stakeholders that yields consensual and efficient uses of real world evidence for the benefit of Alzheimer's Disease patients and their caregivers.Led by Led by [...]

LOGIVIS: The Logics of Information Visualisation

1 October 2015 30 September 2017 Dr Patrick Allo European Commission Information visualisation is an essential tool in data-science, but the lack of a theoretical foundation currently prevents visualisation science to make substantial progress and develop solutions for the epistemological challenges posed by Big Data. Starting from the [...]