10,094 Works
ICAN - Best Practice Guide to Engage your Coastal Web Atlas User Community.
Kathrin Kopke & Ned DwyerA Guide to Making Climate Quality Meteorological and Flux Measurements at Sea.
F. Bradley & C. FarallAgricultural practices and water quality on farms registered for derogation in 2019
R van Duijnen, PW Blokland, A Vrijhoef, D Fraters, GJ Doornewaard & CHG DaatselaarLes fruits et légumes dans l'alimentation : enjeux et déterminants de la consommation Résumé
Pierre Combris, Claire Sabbagh & Isabelle SaviniEffets environnementaux des changements d'affectation des sols liés à des réorientations agricoles, forestières, ou d'échelle territoriales : une revue critique de la littérature scientifique : Résumé de l'étude
Antonio Bispo , Benoit Gabrielle, David Makowski , Monia El Akkari & Olivier RechauchèreWhat is the (social) structure? An exploration
Taro Matsuno
This project seeks to use digitized deed records as the material to construct a social graph of Locust Grove’s real estate market in order to understand the social and power structures underlying the neighborhood’s development. This quick start guide can help researchers use the platform, Graph Commons, to analyze the connections between property buyers and sellers.
This was created as a part of the course, ARH8604 - Field Methods I, taught in Spring 2021 by...
Evaluation - Towards a Community Learning Network to Advance Economic Mobility
Stephanie Shipp, Joel Thurston & Cassandra Dorius
Through the pilot project – Towards a National Community Learning Network – we demonstrate that the Cooperative Extension System (CES) can be used to infuse data insights into local communities and accelerate the advancement of economic mobility across three states (Virginia, Iowa, and Oregon) through use of the Community Learning through Data Driven Discovery process. The project encompassed three bodies of work, including: (1) developing a rural community-based research culture to promote economic mobility; (2)...
UVA School of Data Science Open Access Guidelines and Recommendations
Philip Bourne, Brandon Butler, Lane Rasberry, Daniel Mietchen, Timothy Clark, Nada Basit, Aidong Zhang, Brian Wright, John Van Horn, Jonathan Kropko & Claudia Scholz
On February 3, 2021 the School of Data Science's Academic Affairs Committee (AAC) officially passed the Open Access Guidelines and Recommendations. The University of Virginia School of Data Science is guided by goals to further discovery through open, collaborative, and responsible data science research. These guidelines and recommendations are adhered to by all faculty members in their research.