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Academic Data Science, From Individuals to Institutions

Speaker

Micaela Parker

Micaela Parker

Academic Data Science Alliance

Micaela Parker is Executive Director of the Academic Data Science Alliance (ADSA). ADSA is a community-building organization that supports university researchers in their efforts to learn, use, and teach around data-intensive methodologies and responsible applications. By building networks of data science practitioners and thought leaders, ADSA enables better sharing of knowledge, ideas, and lessons learned. Before launching ADSA, Dr. Parker served as Program Coordinator for the Moore-Sloan Data Science Environments and Executive Director for the University of Washington’s eScience Institute. Prior to 2014, Dr. Parker was a senior research scientist in UW’s School of Oceanography, where she also earned her PhD. She has been involved in many large, interdisciplinary projects bridging oceanography and genomics.
Although data-driven research is already accelerating scientific discovery, substantial systemic challenges still exist in academia that impact both individual researchers and institutional decision-making. These challenges need to be overcome for academia to fully realize the promise of the new data era. Toward that end, the Academic Data Science Alliance (academicdatascience.org) was established to provide an independent resource network with community building and advocacy opportunities for data scientists in academia across the U.S. and beyond. Read more
Although data-driven research is already accelerating scientific discovery, substantial systemic challenges still exist in academia that impact both individual researchers and institutional decision-making. These challenges need to be overcome for academia to fully realize the promise of the new data era. Toward that end, the Academic Data Science Alliance (academicdatascience.org) was established to provide an independent resource network with community building and advocacy opportunities for data scientists in academia across the U.S. and beyond. ADSA aims to facilitate sharing of best practices and lessons learned from higher education institutes experimenting with the integration of data science. This talk will cover ADSA’s efforts and activities, ways to engage, and include some lessons learned from Micaela’s 6+ years of experience in collaborative institutional experimentation through her work with the Moore-Sloan Data Science Environments (msdse.org).
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