More Like this

1. Microbial respiration in the mesopelagic zone at Station ALOHA: Mesopelagic respiration at Station ALOHA

   https://doi.org/10.1002/lno.10397  

   Martínez-García, Sandra ( January 2017 , Limnology and Oceanography)
2. Transforming permafrost coastal systems: Advancing scientific discovery through international collaboration

   https://doi.org/10.32907/RO-110-1013  

   Jones, Benjamin M ; Lantuit, H. ( November 2019 , Research Outreach)

   In the Alaskan Arctic, permafrost coastal systems are eroding at rates more than double those of the past. Rampant environmental change is putting new pressures on Arctic coastal dynamics, with the loss of landscapes, cultural heritage, infrastructure, and communities. Dr Benjamin Jones (Water and Environmental Research Center, Institute of Northern Engineering, University of Alaska Fairbanks) and Professor Hugues Lantuit (Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Germany) are working with scientists and stakeholders from across Arctic nations to develop the Permafrost Coastal Systems Network (PerCS-Net), a forum for reinvigorated research, knowledge integration, and management of environmental change at the fringes of the Arctic. 

   more » « less
3. ML-SD Modeling: How Machine Learning Can Support Scientific Discovery Learning for K-12 STEM Education

   Zhou, X. ; Lyu, H. ; Luo, J. ; Bai, Z. ( February 2023 , The 37th AAAI Conference on Artificial Intelligence Workshop - AI4EDU: AI for Education)

   The importance of machine learning (ML) in scientific discovery is growing. In order to prepare the next generation for a future dominated by data and artificial intelligence, we need to study how ML can improve K-12 students’ scientific discovery in STEM learning and how to assist K-12 teachers in designing ML-based scientific discovery (SD) learning activities. This study proposes research ideas and provides initial findings on the relationship between different ML components and young learners’ scientific investigation behaviors. Results show that cluster analysis is promising for supporting pattern interpretation and scientific communication behaviors. The levels of cognitive complexity are associated with different ML-powered SD and corresponding learning support is needed. The next steps include a further co-design study between K-12 STEM teachers and ML experts and a plan for collecting and analyzing data to further understand the connection between ML and SD. 

   more » « less
4. Dynamics of Prochlorococcus Diversity and Photoacclimation During Short-Term Shifts in Water Column Stratification at Station ALOHA

   https://doi.org/10.3389/fmars.2018.00488  

   Thompson, Anne W. ; van den Engh, Ger ; Ahlgren, Nathan A. ; Kouba, Kathleen ; Ward, Samantha ; Wilson, Samuel T. ; Karl, David M. ( December 2018 , Frontiers in Marine Science)
5. Seasonal-to-decadal scale variability in primary production and particulate matter export at Station ALOHA

   https://doi.org/10.1016/j.pocean.2021.102563  

   Karl, David M. ; Letelier, Ricardo M. ; Bidigare, Robert R. ; Björkman, Karin M. ; Church, Matthew J. ; Dore, John E. ; White, Angelicque E. ( July 2021 , Progress in Oceanography)

   null (Ed.)