Conference given outside the academic context (Diverse speeches and writings)
History as 'retrospective prediction'? On the limits of predicting the future by learning from the past
FICKERS, Andreas
2023
 

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Keywords :
Scientific Foresight, Prediction, Modelling, Lessons from History, Anticipation, Ignorance
Abstract :
[en] “If you don’t know about your past, you don’t know about your future” is probably one of the most repeated phrases in Sunday-speeches of politicians at official commemorations or historical anniversa- ries. Alas, the reality looks different. While history has a lot of lessons to offer, people don’t learn from it. This intervention will reflect on the reasons of this ignorance or oblivious of history and ask the question, whether the abundance of historical sources in the age of “big data of the past” will help to cure this phenomenon with the help of machine learning and AI or rather accelerate the digital forgetting.
Research center :
Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Disciplines :
History
Author, co-author :
FICKERS, Andreas  ;  University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
Language :
English
Title :
History as 'retrospective prediction'? On the limits of predicting the future by learning from the past
Publication date :
04 May 2023
Event name :
Megatrends 2050 - Shaping the Future with Scientific Foresight
Event organizer :
Chambre des Députés / Luxembourg
Event place :
Luxembourg, Luxembourg
Event date :
04.05.2023
Audience :
International
Available on ORBilu :
since 11 January 2024

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