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Science, Technology, Society — Science and Technology Studies

ARTIFICIAL INTELLIGENCE, ALGORITHMS, BIG DATA

Humans and Machines in Robotics and Artificial Intelligence [Understanding and Addressing Existential Risks/Threats: Historical, Philosophical and STS (Science, Technology, Society) Approaches]

See here.

 

Διάλεξη του Απόστολου Σπανού, Professor, University of Adger, Norway (April 9, 2024)

See here.

 

Contextualizing Artificial Intelligence, Algorithms and Big Data: From History to Policy. "Emerging Humanities and Social Sciences Research on Artificial Intelligence " Series of Presentations, Discussions, Lectures (May 23&30)

You can find the event flyer, here.

 

AN (ONLINE) DISCUSSION WITH DICK VAN LENTE (EDITOR), PROPHETS OF COMPUTING: VISIONS OF SOCIETY TRANSFORMED BY COMPUTING

Find the discussion's flyer, here.

 

PUBLIC LECTURES AND DISCUSSIONS 'ΒIG DATA, NEW MEDIA, DOCUMENTATION ISSUES: LEARNING FROM PIONEERING INITIATIVES'

4 lectures, 4 talks, 4 approaches. There will be a new series of Public Lectures-Discussions,'Βig Data, New Media, Documentation issues- Learning from Pioneering Initiatives', starting on 6th February and ending on 8th May.

Every day, a huge volume of data is generated and accumulated by organisations, businesses, research institutions and universities. The transformation of this Big Data into useful and valid documentation occupies a central role in today's Knowledge Society. The National Documentation Centre (EKT) is the institutional body responsible for monitoring and supporting this transformation, advancing dissemination and facilitating exploitation of results which develop the economy and solve major social problems.

The creation of Big Data is a natural consequence of the rapid development and use of Internet and New Media, something unprecedented in human history. It is therefore essential that modern societies effectively tackle the issue of making the proper use of this data. 

During 4 two-hour lecture- discussions at the National Hellenic Research Foundation, four distinguished speakers with backgrounds in the Humanities, Social Sciences and Natural Sciences, will share their own viewpoint on the topic. These speakers have extensive experience in the management and documentation of big data and have been selected based on their leading role in pioneering related ventures.

Programme:

  • The first lecture is on 6 February 2019 (18.00-20.00, in the L. Zervas amphitheatre NHRF and is in English. It will be given by Andreas Fickers, Professor for Contemporary and Digital History, Director of the Luxembourg Centre for Contemporary and Digital History (C²DH), Head of the Digital History Laboratory.
  • On 20 March 2019 (18.00-20.00), the session will be in Greek and presented by Christos Arvanitidis, Head of Research, Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research (HCMR).
  • On 10 April 2019 (18.00-20.00), the lecture will be given in English by Jürgen Neyer, Professor and Vice-President of International Affairs, Director of the Centre for the Internet and Human Rights (CIHR), European University Viadrina.
  • The final lecture is on 8 May 2019 (18.00-20.00) and will be given in English by William Allen, Fellow by Examination in Political and Development Studies, Madgalen College, University of Oxford, Research Officer, Centre on Migration, Policy, and Society (COMPAS).

The lectures will interest students, researchers, scientists across disciplines, representatives of the public and private sectors, and anyone engaged in the transformation of big data into valuable documentation. Each lecture will be followed by open discussion with the audience.

The lecture series is being organised by the Scientific Council of the National Documentation Centre with the support of Interdepartmental Graduate Programme 'Science, Technology, Society-Science and Technology Studies' of the National and Kapodistrian University of Athens (sts.phs.uoa.gr)

Attendance is free of charge (no registration is required). 
Contact: National Documentation Centre (ekt@ekt.gr)

See the lecture programme.