Monkey Forest Tales: Reflections about IA use on science and what it means for research job

In today’s post, we want to talk a bit about some of my personal reflections about IA use on science and what it means for research. Recently I saw a few comments from people about how IA is used in different aspects of science and the impact that it will have on jobs in general and in research jobs in particular.

These comments present a current reality that coupled with the increased reduction of financial support on science around the world can shape the way we do science in the near future. And by near future I mean a few years!There is one thing in which I agree, IA can help us to speed up in our way of synthetizing information, finding patterns and even analyzing them. These increase in speed can also cause a more competitive environment in which academia measure its progress and qualify the researcher’s performance, increasing the “Publish or Perish” philosophy in which academia had been immerse over the last decades and which had caused so many fall outs and job losses.

Definitely, it can improve the way we can find literature and research gaps that otherwise will take us several years and that it is one of the longer parts in the process of doing science in many cases. However, as with models and analytical tools, the result will depend on the information it uses to find and analyze those patterns. One thing that worries me, though, is the effect IA can have on information quality, its impacts on real life systems (either human body in the case of medical research or ecosystems in the case of ecological and climate settings) and the impact it will have on financial support for research projects.

Financial support for research projects in science always had been challenging, to say the least, but if now financial agencies only want fast results and projects that involve new technologies, then what will happen with the rest of research based on less technological processes and more observational and long-term questions. We still need that kind of research to make sense of the way nature works, and how it recovers from natural and human-induced impacts.For people like me, that its not as young or as into technology as the new generations, IA represents an additional challenge to overcome apart from the already established rules and stigmas of our cultural science environment. I just hope that the essence of science is preserved and humans conserve its natural curiosity that for me it’s the base of doing science…

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