{"id":567,"date":"2023-07-27T17:54:36","date_gmt":"2023-07-27T17:54:36","guid":{"rendered":"https:\/\/cwru-dsci.org\/?page_id=567"},"modified":"2023-07-27T18:01:21","modified_gmt":"2023-07-27T18:01:21","slug":"references","status":"publish","type":"page","link":"https:\/\/cwru-dsci.org\/?page_id=567","title":{"rendered":"References"},"content":{"rendered":"\n
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The resources used to inspire and execute this project are wide-ranging and interdisciplinary. We highlight in bold the work that has especially contributed to the development of FAIR2.<\/p>\n\n\n\n

\n\n\n\n

Abrams, J. A., Tabaac, A., Jung, S., & Else-Quest, N. M. (2020). Considerations for employing intersectionality in qualitative health research. Social Science & Medicine, 258, 113138. https:\/\/doi.org\/10.1016\/j.socscimed.2020.113138<\/p>\n\n\n\n

American Economic Association. (2020, June 5). Statement from the AEA Executive Committee. Retrieved from https:\/\/www.aeaweb.org\/news\/member-announcements-june-5-2020<\/p>\n\n\n\n

Canning, P., & Stacy, B. (2019). The Supplemental Nutrition Assistance Program (SNAP) and the Economy: New Estimates of the SNAP Multiplier (Economic Research Report No. 291963). United States Department of Agriculture, Economic Research Service. Retrieved from https:\/\/econpapers.repec.org\/paper\/agsuersrr\/291963.htm<\/p>\n\n\n\n

Cohen, M., Rohan, A., Pritchard, K., & Pettit, K. L. S. (2022). Guide to Data Chats: Convening Community Conversations about Data. Urban Institute.<\/p>\n\n\n\n

Gray, C. (2019). Leaving benefits on the table: Evidence from SNAP. Journal of Public Economics, 179, 104054. https:\/\/doi.org\/10.1016\/j.jpubeco.2019.104054<\/p>\n\n\n\n

Howe, C. J., Bailey, Z. D., Raifman, J. R., & Jackson, J. W. (2022). Recommendations for Using Causal Diagrams to Study Racial Health Disparities. American Journal of Epidemiology, 191(12), 1981\u20131989. https:\/\/doi.org\/10.1093\/aje\/kwac140<\/strong><\/p>\n\n\n\n

Kenney, E. L., Soto, M. J., Fubini, M., Carleton, A., Lee, M., & Bleich, S. N. (2022). Simplification of Supplemental Nutrition Assistance Program Recertification Processes and Association with Uninterrupted Access to Benefits Among Participants with Young Children. JAMA, 5(9) https:\/\/doi.org\/10.1001\/jamanetworkopen.2022.30150<\/p>\n\n\n\n

Kilbertus, N., Rojas Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., & Sch\u00f6lkopf, B. (2017). Avoiding Discrimination through Causal Reasoning. Advances in Neural Information Processing Systems, 30. Curran Associates, Inc. Retrieved from https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/f5f8590cd58a54e94377e6ae2eded4d9-Abstract.html<\/p>\n\n\n\n

Kleinberg, J., Ludwig, J., Mullainathan, S., & Sunstein, C. R. (2018). Discrimination in the Age of Algorithms. Journal of Legal Analysis, 10, 113\u2013174. https:\/\/doi.org\/10.1093\/jla\/laz001<\/a><\/strong><\/p>\n\n\n\n

Manski, C. F. (2013). Public Policy in an Uncertain World: Analysis and Decisions. Cambridge, MA: Harvard University Press.<\/p>\n\n\n\n

Lane, S. R., McClendon, J., & Matthews, N. (2017). Finding, Serving, and Housing the Homeless: Using Collaborative Research to Prepare Social Work Students for Research and Practice. Journal of Teaching in Social Work, 37(3), 292\u2013306. https:\/\/doi.org\/10.1080\/08841233.2017.1317689<\/p>\n\n\n\n

Lundberg, I., Johnson, R., & Stewart, B. M. (2021). What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory. American Sociological Review, 86(3), 532\u2013565. https:\/\/doi.org\/10.1177\/00031224211004187<\/strong><\/p>\n\n\n\n

Muhammad, K. G. (2019). The Condemnation of Blackness: Race, Crime, and the Making of Modern Urban America, With a New Preface. Cambridge, MA: Harvard University Press<\/strong>.<\/p>\n\n\n\n

OHCHR. (2018). A Human Rights-Based Approach to Data. Geneva: Office of the United Nations High Commissioner for Human Rights. Retrieved from Office of the United Nations High Commissioner for Human Rights website: https:\/\/www.ohchr.org\/sites\/default\/files\/Documents\/Issues\/HRIndicators\/GuidanceNoteonApproachtoData.pdf<\/p>\n\n\n\n

Pearl, J. (1995). Causal diagrams for empirical research. Biometrika, 82(4), 669\u2013688. https:\/\/doi.org\/10.1093\/biomet\/82.4.669<\/p>\n\n\n\n

Pearl, J. (2022). Causal Inference: History, Perspectives, Adventures, and Unification (An Interview with Judea Pearl). Observational Studies<\/em> 8<\/em>(2), 1-14. doi:10.1353\/obs.2022.0007<\/a>.<\/p>\n\n\n\n

Pearl, J., & Mackenzie, D. (2018). The Book of Why: The New Science of Cause and Effect (1st ed.). USA: Basic Books, Inc<\/strong>.<\/p>\n\n\n\n

Robinson, W. R., Renson, A., & Naimi, A. I. (2020). Teaching yourself about structural racism will improve your machine learning. Biostatistics, 21(2), 339\u2013344. https:\/\/doi.org\/10.1093\/biostatistics\/kxz040<\/strong><\/p>\n\n\n\n

Rocca-Serra, P., Sansone, S.-A., Gu, W., Welter, D., Abbassi Daloii, T., & Portell-Silva, L. (2022). Reflections on the Ethical values of FAIR. In D2.1 FAIR Cookbook. Zenodo. Retrieved from https:\/\/doi.org\/10.5281\/zenodo.6783564<\/a><\/p>\n\n\n\n

Roewer-Despres, F., & Berscheid, J. (2020, November 29). Continuous Subject-in-the-Loop Integration: Centering AI on Marginalized Communities. arXiv. Retrieved from http:\/\/arxiv.org\/abs\/2012.01128<\/p>\n\n\n\n

Salazar, Z. R., Vincent, L., Figgatt, M. C., Gilbert, M. K., & Dasgupta, N. (2021). Research led by people who use drugs: Centering the expertise of lived experience. Substance Abuse Treatment, Prevention, and Policy, 16(1), 70. https:\/\/doi.org\/10.1186\/s13011-021-00406-6<\/p>\n\n\n\n

Schalet, A. T., Tropp, L. R., & Troy, L. M. (2020). Making Research Usable Beyond Academic Circles: A Relational Model of Public Engagement. Analyses of Social Issues and Public Policy, 20(1), 336\u2013356. https:\/\/doi.org\/10.1111\/asap.12204<\/p>\n\n\n\n

Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., \u2026 Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 160018. https:\/\/doi.org\/10.1038\/sdata.2016.18<\/p>\n\n\n\n

Back to Resources Main Page<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

The resources used to inspire and execute this project are wide-ranging and interdisciplinary. We highlight in bold the work that has especially contributed to the development of FAIR2. Abrams, J. A., Tabaac, A., Jung, S., & Else-Quest, N. M. (2020). Considerations for employing intersectionality in qualitative health research. Social Science & Medicine, 258, 113138. https:\/\/doi.org\/10.1016\/j.socscimed.2020.113138 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":20,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-567","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/pages\/567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=567"}],"version-history":[{"count":2,"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/pages\/567\/revisions"}],"predecessor-version":[{"id":572,"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/pages\/567\/revisions\/572"}],"up":[{"embeddable":true,"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=\/wp\/v2\/pages\/20"}],"wp:attachment":[{"href":"https:\/\/cwru-dsci.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}