The DataSENSE Commitment
Students who pursue the DataSENSE program will become the next generation of interdisciplinary researchers using data-science enabled principles and tools to pursue action-based science aimed at increasing the understanding of the environment, thereby making progress toward climate adaptation.
Harnessing the Data Revolution
The DataSENSE project is identified with "Harnessing the Data Revolution," one of six research areas included with the National Science Foundation's (NSF) "10 Big ideas." The Michigan Tech project will contribute to the development of a comprehensive integrated research and training program to inspire and train the next generation of scientists who are aligned with the changing workforce and research needs brought about by changes in climate.
The Data Science Lifecycle
The data science lifecycle will frame a base proficiency for DataSENSE trainees across three required knowledge pillars: sensors and sensing technologies, computational analysis, and application domain knowledge. Each step in the data science lifecycle framework involves all three knowledge pillars with different degrees of emphasis.
Future Data Science Professionals
DataSENSE doctoral students learn and practice data science-enabled paradigms and programs, preparing them to become the independent researchers and scientists of the future. From day one on the job, DataSENSE graduates are ready to ready to develop new technologies for climate adaptation, and contribute to and accelerate multidisciplinary research at the intersection of computing, sensing, and application domains.