ESEMÉNYEK
PINT OF SCIENCE Hungary - 2025. Május 21. szerda
Stifler Beerhouse - English day
és
FIRST Craft Beer Taproom
2025. Május 21. szerda
21st May, Wednesday
Nyitás/Open: 18:30
Az esemény 19:00-kor kezdődik és 22:00-ig tart
The event starts at 7 p.m. and end around 10 p.m.
Speakers program at Stifler
Mary Karyda & Borbála Tölgyesi
From Lab to Layman: Scientists Attempts to Bridge the Gap Between Research and Public Understanding
Researchers dive deep into complex problems, but when they try to explain them to non-experts, it can be hard to make things relatable and easy to understand. However, science communication becomes essential, especially when we face urgent issues like ecological crises that require action. As environmental problems grow, it is crucial that scientific knowledge is not only shared but also made meaningful and actionable for everyone. In this project, we investigate how scientists try to get their message across, explore different ways and methods in science communication, and examine the challenges researchers face and how they try to overcome them. In the end, the question remains: does science communication work?
Miklós Antal
The bumpy road to an easy life
Should we really work so hard? Are we not forcing each other into collective overwork? This talk argues that a more relaxed and more meaningful life could be possible, but creating the conditions for it needs work from many of us. We will discuss whether we can ever expect to succeed, or the constant battle for a better life will always prevent it.
Olivér Balogh
Mimicking biology with artificial intelligence
On a number of occasions throughout the brief history of artificial intelligence (AI) research, innovations were propelled by either direct inspiration from biology or by concepts that are coincidentally analogous to mechanisms observed in biology. This intertwined relationship eventually led to what many of us nowadays associate AI with, i.e.: neural-network-based large language models that can simulate conversations, summarize difficult topics or write computer code. However, studying how complex behaviors emerge in these models may make us reflect on biological phenomena with a new perspective, blurring the line between what we consider natural and artificial.