Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Law Instruction is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Addressing structural hurdles for metadata extraction from environmental impact statements
Laparra, E., Binford-Walsh, A., Emerson, K., Miller, M. L., López-Hoffman, L., Currim, F. & Bethard, S., Sep 2023, In: Journal of the Association for Information Science and Technology. 74, 9, p. 1124-1139 16 p.Research output: Contribution to journal › Article › peer-review
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Advances in Transboundary Aquifer Assessment
Matherne, A. M. & Megdal, S. B., Mar 2023, In: Water (Switzerland). 15, 6, 1208.Research output: Contribution to journal › Editorial › peer-review
Open Access -
Big Tech and Political Equality
Masconale, S. & Sepe, S. M., Jan 1 2023, Technology Ethics: A Philosophical Introduction and Readings. Taylor and Francis, p. 232-241 10 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Datasets
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CCDC 866758: Experimental Crystal Structure Determination
Budy, S. M. (Creator), Nichol, G. S. (Creator) & Loy, D. A. (Creator), Cambridge Crystallographic Data Centre, 2012
DOI: 10.5517/ccy2xyv, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccy2xyv&sid=DataCite
Dataset
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Replication materials for "Legalization and Compliance: How Judicial Activity Undercuts the Global Trade Regime"
Kucik, J. R. (Creator), Peritz, L. (Creator) & Puig, S. (Creator), Harvard Dataverse, 2022
DOI: 10.7910/dvn/yn5qys, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YN5QYS
Dataset
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Blood in the water: The value of antitakeover provisions during market shocks
Guernsey, S. (Contributor), Sepe, S. M. (Contributor) & Serfling, M. (Creator), MURI/AUSMURI Project: Rationalization of Interphase Instabilities during Thermo-Mechanical Gyrations Typical, 2022
DOI: 10.17632/t7yvzzy599.1, https://data.mendeley.com/datasets/t7yvzzy599
Dataset