The Big Theory Revolution or Why the Data Deluge Will not Wash the Scientific Method Away
摘要
This paper argues that big data is a valuable tool for scientific inquiry, but it is not a substitute for traditional scientific methods such as theory-building. To fully harness the potential of big data, scientists must develop innovative approaches that leverage its strengths while mitigating its limitations. By combining big data analytics with theory-building, scientists can gain a deeper understanding of complex phenomena and shape the future of scientific discovery.