Abstract: 【Purpose/significance】To discover research fronts and development trends and overcome the limitation of research in the recognition and prediction currently, this paper proposed a research framework for revealing the emerging topics in interdisciplinary scientific research collaboration and predicting their development trends.【Method/process】Firstly,this paper extracted the topics of SciTS conference text under different time series,proposed measurement indicators of emerging topics and constructed their intensity time series.Then,we used Back Propagation Neural Network and Support Vector Regression algorithms to make a prediction about the development trend of emerging topics in three years【. Result/conclusion】This paper has a good performance in the recognition and pre⁃diction of emerging topics.Meanwhile,five emerging topics have been discovered.Interdisciplinary communication skills,interdisciplin⁃ary collaboration community building,interdisciplinary education and traning will be the research fronts of the follow-up SciTS confer⁃ence【. Innovation/limitation】This paper made some exploration based on the SciTS conference text,which is the typical case in interdis⁃ciplinary scientific research collaboration,and to some extent enriched the width and diversity of interdisciplinary research.