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Publications

Year-End Reports

FY24 Year End Report Download (PDF)
FY23 End of Year Report Download (PDF)
FY22 Year End Report Download (PDF)
FY21 Year End Report Download (PDF)

Strategic Plans

2024-2029 Strategic Plan Download (PDF)
DISC Strategic Plan Download (PDF)

Data Science and AI Initiatives

Data Science and AI Initiatives in 46 U.S. Universities - November 2024 (PDF)
Data Science and AI Initiatives in 46 U.S. Universities May-2024 (PDF)

Journal Publications

  • Faiz, R., Danala, G., Lucero, P., Ray, B., Hegde, S., Ebert, D., “Development Of Composite Clinical-Radiological Tool To Predict Functional Outcomes After Ischemic Stroke Treatment,” SPIE Medical Imaging 2025, 2025.
  • Basheer, A., Jentner, W., Ebert, D., “Leveraging Visual Analytics and Diverse Datasets for Proactive Pandemic Surveillance: A One Health Approach,” In Proceedings of the Hawaii International Conference on System Science, HICSS 56, 2024.
  • Khiabani, P., Danala, G., Jentner, W., Ebert, D., “Challenges in Data Integration, Monitoring, and Exploration of Methane Emissions: The Role of Data Analysis and Visualization,” IEEE EnergyVis 2024: 4th Workshop on Energy Data Visualization, 2024.
  • Aseel Basheer et al (2024), "A comprehensive approach to integrated one health surveillance and response", Open Access Government July 2024, pp.50-51. https://doi.org/10.56367/OAG-043-10923 .(Accessed: 15 Jul 2024) 
  • Wimberly, M. C. 2024. Meteorological data for public health surveillance. Open Access Government. March 6, 2024. https://doi.org/10.56367/OAG-042-10923
  • Thirumalai Venkatesan, Velmurugan Thavasi, Jordan P. Metcalf, Donna L Tyungu, Aaron M. Wendelboe, David Ebert, Ong Weiqiang, Zhang Fuchang, Jia Zhunan (2024), "Revolutionising disease detection: The emergence of non-invasive VOC breathomics", Open Access Government January 2024, pp.74-75. doi:10.56367/OAG-041-10923
  • Zhunan Jia, Ong Weiqiang, Zhang Fuchang, Fang Du, Velmurugan Thavasi, Thirumalai Venkatesan (2024), "A Study of 9 Common Breath VOCs in 504 Healthy Subjects Using PTR-TOF-MS", Metabolomics 2024.  DOI: 10.1007/s11306-024-02139-6
  • Kwon, T., Trujillo, J. D., Carossino, M., Lyoo, E. L., McDowell, C. D., Cool, K., … Richt, J. A. (2024). Pigs are highly susceptible to but do not transmit mink-derived highly pathogenic avian influenza virus H5N1 clade 2.3.4.4b. Emerging Microbes & Infections. https://doi.org/10.1080/22221751.2024.2353292
  • Maryada, Sai Kiran, Devegowda, Deepak, Curtis, Mark, and Chandra Rai. "Improved Data-Driven Method for the Prediction of Elastic Properties in Unconventional Shales from SEM Images." Paper presented at the SPWLA 29th Formation Evaluation Symposium of Japan, Chiba, Japan, September 2024.
  • M. Y. Araghi, M. H. Parsa, M. Ghane Ezabadi, R. Roumina, H. Mirzadeh, and S. Xu, “Characterizing pearlite transformation in an API X60 pipeline steel through phase-field modeling and experimental validation,” Front. Mater., vol. 11, p. 1390159, Jun. 2024, doi: 10.3389/fmats.2024.1390159.
  • P. Arcidiacono, J. Kinsler, and T. Ransom, “What the Students for Fair Admissions Cases Reveal about Racial Preferences,” Journal of Political Economy Microeconomics, vol. 1, no. 4, pp. 615–668, Nov. 2023, doi: 10.1086/725336.
  • P. Arcidiacono, J. Kinsler, and T. Ransom, “Divergent: The Time Path of Legacy and Athlete Admissions at Harvard,” J. Human Resources, vol. 59, no. 3, pp. 653–683, May 2024, doi: 10.3368/jhr.0421-11641R1.
  • L. Azzopardi and J. Liu, “Search under Uncertainty: Cognitive Biases and Heuristics - Tutorial on Modeling Search Interaction using Behavioral Economics,” in Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, Sheffield United Kingdom: ACM, Mar. 2024, pp. 427–430. doi: 10.1145/3627508.3638297.
  • M. Baby, A. Guptan, J. Broussard, J. K. Allen, F. Mistree, and A. B. Nellippallil, “A Framework to Support Multilevel Robust Co-Design of Manufacturing Supply Networks,” in Volume 3A: 49th Design Automation Conference (DAC), Boston, Massachusetts, USA: American Society of Mechanical Engineers, Aug. 2023, p. V03AT03A031. doi: 10.1115/DETC2023-117145.
  • M. Baby, A. Guptan, J. Broussard, J. K. Allen, F. Mistree, and A. B. Nellippallil, “A Decision Support Framework for Robust Multilevel Co-Design Exploration of Manufacturing Supply Networks,” Journal of Mechanical Design, vol. 146, no. 11, p. 111704, Nov. 2024, doi: 10.1115/1.4065369.
  • M. Baby, R. Rama Sushil, P. Ramu, J. K. Allen, F. Mistree, and A. B. Nellippallil, “Robust, Co-design Exploration of Multilevel Product, Material, and Manufacturing Process Systems,” Integr Mater Manuf Innov, vol. 13, no. 1, pp. 14–35, Mar. 2024, doi: 10.1007/s40192-023-00324-4.
  • Y. M. Banad, S. M. A. Hasan, S. S. Sharif, G. Veronis, and M. R. Gartia, “Optical properties and behavior of whispering gallery mode resonators in complex microsphere configurations: Insights for sensing and information processing applications,” Nano Select, vol. 5, no. 4, p. 2300184, Apr. 2024, doi: 10.1002/nano.202300184.
  • M. Beattie and T. Tran, “Poster Submission: A clustering and machine learning approach to identification of structural drivers of unsheltered homelessness,” Nov. 2023.
  • E. Berry-Kravis et al., “Effects of AFQ056 on language learning in fragile X syndrome,” Journal of Clinical Investigation, vol. 134, no. 5, p. e171723, Mar. 2024, doi: 10.1172/JCI171723.
  • M. J. Bhalerao, W. T. Honeycutt, A. K. Das, J. K. Allen, and F. Mistree, “Framing Wicked Problems Through Evidentiary and Interpretative Analysis,” in Volume 3B: 49th Design Automation Conference (DAC), Boston, Massachusetts, USA: American Society of Mechanical Engineers, Aug. 2023, p. V03BT03A005. doi: 10.1115/DETC2023-117285.
  • S. Bhattacharjee and C. N. Corbett, “Housing condition and preferences of refugee immigrants in Dallas, TX,” Wellbeing, Space and Society, vol. 4, p. 100150, 2023, doi: 10.1016/j.wss.2023.100150.
  • K. Bozorgi and R. K. Gaddie, The Philadelphia house: organic architecture and placemaking in Chestnut Hill. Lanham Boulder New York London: Rowman & Littlefield, 2023.
  • J. Cao, Z. Ming, J. K. Allen, and F. Mistree, “On How a Self-Organizing System Produces Collective Behavior,” in Volume 3B: 49th Design Automation Conference (DAC), Boston, Massachusetts, USA: American Society of Mechanical Engineers, Aug. 2023, p. V03BT03A062. doi: 10.1115/DETC2023116875.
  • G. B. Carrasco Galvan, J. M. Vadjunec, and T. D. Fagin, “Lessons from the Archives: Understanding Historical Agricultural Change in the Southern Great Plains,” Land, vol. 13, no. 2, p. 196, Feb. 2024, doi: 10.3390/land13020196.
  • N. Castellanos-Ryan et al., “Modelling executive function across early childhood: Longitudinal invariance, development from 3.5 to 7 years and later academic performance,” Cognitive Development, vol. 68, p. 101365, Oct. 2023, doi: 10.1016/j.cogdev.2023.101365
  • H. S. Chapman and R. A. Schwartz, “Leveraging Country Expertise: How Scholars in International Studies Can Support the Asylum Process,” International Studies Perspectives, p. ekae002, Feb. 2024, doi: 10.1093/isp/ekae002.
  • H. S. Chapman, Dialogue with the Dictator: Authoritarian Legitimation and Information Management in Putin’s Russia, 1st ed. Cambridge University Press, 2024. doi: 10.1017/9781009427548.
  • H. S. Chapman, M. C. Hanson, V. Dzutsati, and P. DeBell, “Under the Veil of Democracy: What Do People Mean When They Say They Support Democracy?,” Perspect. polit., vol. 22, no. 1, pp. 97–115, Mar. 2024, doi: 10.1017/S1537592722004157.
  • H. Chapman and R. Zhandayeva, “Attitudes toward Russia’s War on Ukraine in Kazakhstan and Kyrgyzstan,” in The Impact of the Russo-Ukrainian War on the Broader Region, PONARS Eurasia Policy Perspectives, 2023.
  • C. L. Chapple and E. J. Maher, “Trauma-Informed Theory in Criminal Justice,” in Handbook of Forensic Social Work, 1st ed., D. A. McLeod, A. P. Natale, and K. W. Mapson, Eds., Oxford University PressNew York, 2024, pp. 172–187. doi: 10.1093/oso/9780197694732.003.0012.
  • S. Chaput-Langlois, Z. L. Stickley, T. D. Little, and C. Rioux, “Multiple Imputation When Variables Exceed Observations: An Overview of Challenges and Solutions,” Collabra: Psychology, vol. 10, no. 1, p. 92993, Feb. 2024, doi: 10.1525/collabra.92993.
  • B. Cilali, K. Barker, A. D. González, and A. Salo, “Two-stage stochastic program for environmental resettlement decision-making,” Socio-Economic Planning Sciences, vol. 93, p. 101875, Jun. 2024, doi: 10.1016/j.seps.2024.101875.
  • B. Cilali, C. M. Rocco, and K. Barker, “Multi‐objective decision trees with fuzzy TOPSIS: Application to refugee resettlement planning,” Multi Criteria Decision Anal, vol. 31, no. 1–2, p. e1822, Jan. 2024, doi: 10.1002/mcda.1822.
  • R. R. Cordero et al., “Extreme fire weather in Chile driven by climate change and El Niño–Southern Oscillation (ENSO),” Sci Rep, vol. 14, no. 1, p. 1974, Jan. 2024, doi: 10.1038/s41598-024-52481-x.
  • C. M. Curry, “OU Libraries’ Statistics Helper Website: An Interactive and Curated Resource List.” STEM Librarian South, p. 7630600 Bytes, 2023. doi: 10.6084/M9.FIGSHARE.23739657.V1.
  •  J. Cutcher-Gershenfeld et al., “Professionalization of Research Computing and Data: An Expanded Agenda,” in Practice and Experience in Advanced Research Computing, Portland OR USA: ACM, Jul. 2023, pp. 129–136. doi: 10.1145/3569951.3593610.
  • M. Derakhshi and T. Razzaghi, “An imbalance-aware BiLSTM for control chart patterns early detection,” Expert Systems with Applications, vol. 249, p. 123682, Sep. 2024, doi: 10.1016/j.eswa.2024.123682.
  • D. I. Diochnos, M. C. Golumbic, and F. Hoffman, “ISAIM-2022: international symposium on artificial intelligence and mathematics,” Ann Math Artif Intell, vol. 92, no. 1, pp. 1–4, Jan. 2024, doi: 10.1007/s10472-024-09922-0.
  • Y. Dong et al., “Wastewater-influenced estuaries are characterized by disproportionately high nitrous oxide emissions but overestimated IPCC emission factor,” Commun Earth Environ, vol. 4, no. 1, p. 395, Oct. 2023, doi: 10.1038/s43247-023-01051-6.
  • L.-E. Dubois, S. Renard, and D. Guttentag, “Towards monopolistic music promotion: an analysis of North American concert tours,” Cultural Trends, pp. 1–18, May 2024, doi: 10.1080/09548963.2024.2352413.
  • L.-E. Dubois, S. Renard, and S. Rana, “Left off the circuit: the impact of shrinking live music tours on cities,” International Journal of Cultural Policy, pp. 1–14, Jan. 2024, doi: 10.1080/10286632.2023.2296071.
  • D. S. Ebert, “Applying data science advances in disease surveillance and control,” Open Access Government, vol. 39, no. 1, pp. 152–153, Jul. 2023, doi: 10.56367/OAG-039-10899.
  • D. Ebrahimzadeh, S. Sharif, and Y. Banad, “Improving Image Classification using Triple-GAN: A Fusion of Generative Adversarial Networks and Transfer Learning,” in 2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Laguna Hills, CA, USA: IEEE, Sep. 2023, pp. 91–94. doi: 10.1109/AIKE59827.2023.00022.
  • M. El-Hourani et al., “Longitudinal Study of Early Adversity and Disturbing Dream Frequency: Moderating Role of Early Negative Emotionality,” Res Child Adolesc Psychopathol, vol. 52, no. 2, pp. 277–291, Feb. 2024, doi: 10.1007/s10802-023-01109-1.
  • J. E. A. Escamilla and D. I. Diochnos, “Perceptrons Under Verifiable Random Data Corruption,” in Machine Learning, Optimization, and Data Science, vol. 14505, G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, P. M. Pardalos, and R. Umeton, Eds., in Lecture Notes in Computer Science, vol. 14505. , Cham: Springer Nature Switzerland, 2024, pp. 93–103. doi: 10.1007/978-3-031-53969-5_8.
  • 14505. , Cham: Springer Nature Switzerland, 2024, pp. 93–103. doi: 10.1007/978-3-031-53969-5_8. [37] L. E. Ethridge, B. D. Auerbach, A. Contractor, I. M. Ethell, E. A. McCullagh, and E. V. Pedapati, “Editorial: Neural markers of sensory processing in development,” Front. Integr. Neurosci., vol. 17, p. 1256437, Jul. 2023, doi: 10.3389/fnint.2023.1256437.
  • T. D. Fagin, J. M. Vadjunec, A. L. Boardman, and L. M. Hinsdale, “Use of Participatory sUAS in Resilient Socioecological Systems (SES) Research: A Review and Case Study from the Southern Great Plains, USA,” Drones, vol. 8, no. 6, p. 223, May 2024, doi: 10.3390/drones8060223.
  • R. Faiz, G. Danala, B. Ray, W. Islam, and D. Ebert, “Evaluation of deep learning frameworks coupled with an interactive user interface to predict clinical complications after aneurysmal subarachnoid hemorrhage,” in Medical Imaging 2024: Clinical and Biomedical Imaging, B. S. Gimi and A. Krol, Eds., San Diego, United States: SPIE, Apr. 2024, p. 28. doi: 10.1117/12.3006983.
  • L. Fang, F. Liu, H. Ding, and C. Duan, “High-Performance Reversible Solid Oxide Cells for Powering Electric Vehicles, Long-Term Energy Storage, and CO 2 Conversion,” ACS Appl. Mater. Interfaces, p. acsami.4c00780, Apr. 2024, doi: .
  • J. C. Fisher, H. H. Nelson, J. K. Allen, P. Kazempoor, and F. Mistree, “Analyzing hydrogen hub locations: Resources, energy, and social impact,” International Journal of Hydrogen Energy, vol. 70, pp. 641–653, Jun. 2024, doi: 10.1016/j.ijhydene.2024.03.125.
  • K. Gaardbo Kuhn, “Wastewater surveillance for infectious disease preparedness,” Open Access Government, vol. 40, no. 1, pp. 22–23, Oct. 2023, doi: 10.56367/OAG-040-10923.
  • A. Garg, A. Chhikara, N. Kumar, and L. Qiu, “Decoding decision-making: Investigation of bias and discrimination in human vs. algorithmic choices,” in Workshop on Information Technologies and Systems (WITS), Hyderabad, India, Dec. 2023.
  • S. Gesing et al., “Community of Communities: A Working Group Enhancing Interactions Between Organizations and Projects Supporting RC Professionals,” Oct. 2023, doi: 10.5281/ZENODO.10034867.
  • L. Guo, J. K. Allen, and F. Mistree, “Optimize or satisfice in engineering design?,” Res Eng Design, Feb. 2024, doi: 10.1007/s00163-023-00431-5.
  •  L. Guo, A. B. Nellippallil, W. F. Smith, J. K. Allen, and F. Mistree, “An Adaptive Linear Programming Algorithm with Parameter Learning,” Algorithms, vol. 17, no. 2, p. 88, Feb. 2024, doi: 10.3390/a17020088.
  • H. S. Gupta, T. Adluri, D. Sanderson, A. D. González, C. D. Nicholson, and D. Cox, “Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards,” International Journal of Disaster Risk Reduction, vol. 100, p. 104125, Jan. 2024, doi: 10.1016/j.ijdrr.2023.104125.
  • J. Habashi, “Criminalization of the Right to Home for Palestinian Children,” in Home in Early Childhood Care and Education, A. Gibbons, S. Gaches, S. Arndt, M. Sapon-Shevin, C. Murray, M. Urban, and M. Tesar, Eds., in Critical Cultural Studies of Childhood. , Cham: Springer International Publishing, 2023, pp. 75–93. doi: 10.1007/978-3-031-43695-6_5.
  •  D. Han, R. Babaei, S. Zhao, and S. Cheng, “Exploring the Efficacy of Learning Techniques in Model Extraction Attacks on Image Classifiers: A Comparative Study,” Applied Sciences, vol. 14, no. 9, p. 3785, Apr. 2024, doi: 10.3390/app14093785.
  • D. Han, P. Huong, and S. Cheng, “Enhancing Semantic Segmentation through Reinforced Active Learning: Combating Dataset Imbalances and Bolstering Annotation Efficiency,” Journal of Electronic & Information Systems, vol. 5, no. 2, pp. 45–60, 2023.
  • D. Han, B. Mulyana, V. Stankovic, and S. Cheng, “A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation,” Sensors, vol. 23, no. 7, p. 3762, Apr. 2023, doi: 10.3390/s23073762.
  • M. Herzig and S. Renard, “The Impact of Improvisation Training in Arts Entrepreneurship Education on Creative Capacities,” Journal of Entrepreneurship Education, vol. 27, no. 4, pp. 1–33, Apr. 2024.
  • A. J. Hill, R. S. Schumacher, and M. L. Jr. Green, “Observation Definitions and their Implications in Machine Learning-based Predictions of Excessive Rainfall,” Weather and Forecasting, 2024.
  • L.-Y. Huang et al., “Double dissociation between P300 components and task switch error type in healthy but not psychosis participants,” Schizophrenia Research, vol. 261, pp. 161–169, Nov. 2023, doi: 10.1016/j.schres.2023.09.025.
  • S. Jamalzadeh et al., “Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks,” Reliability Engineering & System Safety, vol. 243, p. 109819, Mar. 2024, doi: 10.1016/j.ress.2023.109819.
  • Z. Jia, V. Thavasi, T. Venkatesan, and P. Lee, “Breath Analysis for Lung Cancer Early Detection—A Clinical Study,” Metabolites, vol. 13, no. 12, p. 1197, Dec. 2023, doi: 10.3390/metabo13121197.
  • M. Jiang, Z. Ming, C. Li, J. K. Allen, and F. Mistree, “Design of Self-Organizing Systems Using Multi-Agent Reinforcement Learning and the Compromise Decision Support Problem Construct,” Journal of Mechanical Design, vol. 146, no. 5, p. 051711, May 2024, doi: 10.1115/1.4064672.
  •  T. Jiang and J. Liu, “Reflection on future directions: a systematic review of reported limitations and solutions in interactive information retrieval user studies,” AJIM, vol. 76, no. 1, pp. 104–131, Jan. 2024, doi: 10.1108/AJIM-05-2022-0253.
  • Y. J. Jung and J. Liu, “Toward a conceptual framework characterizing the interplay of interest development, information search, and knowledge construction (ISK) in Children’s learning,” AJIM, Jun. 2024, doi: 10.1108/AJIM-01-2024-0041.
  • J.-N. Kim and J. Jung, “AI, Media, and People: The Changing Landscape of User Experiences and Behaviors,” Media & Communication, 2024.
  • J.-N. Kim et al., “Redressing disruptive over-voicing in e-Rulemaking: Theory-informed AI moderation for regulatory public engagement,” International Journal of Strategic Communication, 2024.
  • J.-N. Kim and H. G. de Zúñiga, “Commissioned for the 100th Year Special Issue for Journalism & Mass Communication Quarterly,” Journalism & Mass Communication Quarterly, 2024
  • N. Kim and J.-N. Kim, “A COVID-19 paradox of communication, ignorance, and vaccination intention,” Sage Open, 2024.
  • N. Kim, S. H. Lee, L. Andreu-Perez, A. Pitluk, and J.-N. Kim, “Coping with Non-COVID-19 Health Problems Through Communicative Action in Cyberspace,” Journal of Health Communication, vol. 29, no. 7, pp. 450–466, Jul. 2024, doi: 10.1080/10810730.2024.2365777.
  • Y.-M. Kim and C. Noyori-Corbett, “Ethnic Density as a Key Factor to Narrow Health Disparities: A Case of American Indians and Alaska Natives,” Health & Social Work, p. hlae014, Jun. 2024, doi: 10.1093/hsw/hlae014.
  • Y.-M. Kim and S. Thomas, “Discrepancy between objective and subjective diabetes knowledge: Based on Asian Indian and Korean immigrants,” in International Conference on Knowledge Management, Florianópolis, Brazil, Nov. 2023.
  • N. Kumar, “Transforming software testing practices through digital transformation and artificial intelligence,” in SOFTECAsia 2003 Conference, Kuala Lumpur, Malaysia, Sep. 2023.
  • N. Kumar, “Unveiling the impact of large language models on the software testing industry,” in SOFTECAsia 2023 Conference, Kuala Lumpur, Malaysia, Sep. 2023.
  • N. Kumar, “Will Generative AI become an enduring research tool and topic in Operations Management, or will it be a passing fad that will be forgotten in a few years?,” in Production and Operations Management Society (POMS) Annual Conference, Minneapolis, USA, May 2024.
  • E. Kuttler, N. Ghorbani-Renani, K. Barker, A. D. González, and J. Johansson, “Protection-interdiction-restoration for resilient multi-commodity networks,” Reliability Engineering & System Safety, vol. 242, p. 109745, Feb. 2024, doi: 10.1016/j.ress.2023.109745.
  •  P. Li, Z.-H. Wang, and C. Wang, “The potential of urban irrigation for counteracting carbon-climate feedback,” Nat Commun, vol. 15, no. 1, p. 2437, Mar. 2024, doi: 10.1038/s41467-024-46826-3.
  • M. J. Lipson et al., “Evaluation of 30 urban land surface models in the Urban‐PLUMBER project: Phase 1 results,” Quart J Royal Meteoro Soc, vol. 150, no. 758, pp. 126–169, Jan. 2024, doi: 10.1002/qj.4589.
  •  F. Liu et al., “Synergistic Effects of In-Situ Exsolved Ni–Ru Bimetallic Catalyst on High-Performance and Durable Direct-Methane Solid Oxide Fuel Cells,” J. Am. Chem. Soc., p. jacs.3c12121, Jan. 2024, doi: 10.1021/jacs.3c12121.
  •  M. Lu, C. Zhou, C. Wang, R. B. Jackson, and C. P. Kempes, “Worldwide scaling of waste generation in urban systems,” Nat Cities, vol. 1, no. 2, pp. 126–135, Jan. 2024, doi: 10.1038/s44284-023-00021-5.
  •  E. J. Maher, S. A. Stoner, J. Gerlinger, A. C. Ferraro, and H. Lepper-Pappan, “Study protocol for a randomized controlled trial of the Parent–Child Assistance Program: a case management and home visiting program for people using substances during pregnancy,” Trials, vol. 25, no. 1, p. 264, Apr. 2024, doi: 10.1186/s13063-024-08098-6.
  • B. Maneckshaw, K. Barker, and G. S. Mahapatra, “System reliability optimization with two-sided power distributed component failure times,” Quality Engineering, vol. 36, no. 1, pp. 54–65, Jan. 2024, doi: 10.1080/08982112.2023.2222324.
  • M. Markwald, J. Liu, and R. Yu, “Constructing and meta-evaluating state-aware evaluation metrics for interactive search systems,” Inf Retrieval J, vol. 26, no. 1–2, p. 10, Dec. 2023, doi: 10.1007/s10791-023-09426-1.
  •  A. McGovern et al., “AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography,” AI Magazine, vol. 45, no. 1, pp. 105–110, Mar. 2024, doi: 10.1002/aaai.12160.
  • Z. Ming, Y. Luo, G. Wang, Y. Yan, J. K. Allen, and F. Mistree, “Designing self-organizing systems using surrogate models and the compromise decision support problem construct,” Advanced Engineering Informatics, vol. 59, p. 102350, Jan. 2024, doi: 10.1016/j.aei.2023.102350.
  • H. Morrison, Ed., Lived Resistance against the War on Palestinian Children. Athens: The University of Georgia Press, 2024.
  • C. Noyori-Corbett, Y. Sharma, and C. Miller, “Steps towards Internationalization in Social Work Education: A case of study abroad course development,” Indian Journal of Social Work, 2023.
  •  C. Noyori-Corbett and D. P. Moxley, “Teaching Note—The United States Department of State Diplomacy Lab for Supporting MSW Students’ Engagement in Community-Based Refugee Resettlement Research,” Journal of Social Work Education, vol. 59, no. 1, pp. 278–282, Jan. 2023, doi: 10.1080/10437797.2021.1997682.
  • C. Noyori-Corbett and D. P. Moxley, “Advancing the Human Rights Content of the Social Work Curriculum,” Journal of Social Work Education, pp. 1–12, May 2024, doi: 10.1080/10437797.2024.2338234.
  • C. Noyori-Corbett, Y. Sharma, S. Bhattacharjee, M. Harden, E. Ratcliffe, and A. W. Cahill, “Social Constructivist and Rights-Based Analysis of Global Governance of Statelessness: The Case of the Rohingya Crisis,” J. Hum. Rights Soc. Work, vol. 9, no. 2, pp. 171–184, Jan. 2024, doi: 10.1007/s41134023-00274-z.
  • C. C. Nsude, R. Loraamm, J. J. Wimhurst, G. N. Chukwuonye, and R. Debnath, “Renewables but unjust? Critical restoration geography as a framework for addressing global renewable energy injustice,” Energy Research & Social Science, vol. 114, p. 103609, Aug. 2024, doi: 10.1016/j. erss.2024.103609.
  • H. Pham and S. Cheng, “Non-Iterative Cluster Routing: Analysis and Implementation Strategies,” Applied Sciences, vol. 14, no. 5, p. 1706, Feb. 2024, doi: 10.3390/app14051706.
  • L. Qiu, S. Yeo, X. Li, and J.-N. Kim, “Enhancing brand equity in popular culture tourism: testing the role of fandom in a serial mediation model,” Asia Pacific Journal of Tourism Research, pp. 1–20, May 2024, doi: 10.1080/10941665.2024.2351123.
  • A. Rangrazjeddi, A. D. González, and K. Barker, “Game‐theoretic algorithm for interdependent infrastructure network restoration in a decentralized environment,” Risk Analysis, p. risa.14269, Jan. 2024, doi: 10.1111/risa.14269.
  • S. Renard, “The Role of Arts Incubators in Addressing Digital Divide Inequities,” in Innovating Institutions and Inequities in the Arts, J. Woronkowicz and D. Noonan, Eds., Springer, 2024. [Online]. Available: https://link.springer.com/book/9783031592300
  • S. Renard, “The Role of Arts Incubators in Addressing Digital Divide Inequities,” in Innovating Institutions and Inequities in the Arts, J. Woronkowicz and D. Noonan, Eds., Springer, 2024. [Online]. Available: https://link.springer.com/book/9783031592300
  • C. Rioux et al., “Phenotypic Environmental Sensitivity and Mental Health During Pregnancy and Post Partum: Protocol for the Experiences of Pregnancy Longitudinal Cohort Study,” JMIR Res Protoc, vol. 12, p. e49243, Dec. 2023, doi: 10.2196/49243.
  • C. Rioux, K. London-Nadeau, and R.-P. Juster, “Sex and gender measurement for scientific rigor and data harmonization across studies,” Comprehensive Psychoneuroendocrinology, vol. 16, p. 100199, Nov. 2023, doi: 10.1016/j.cpnec.2023.100199.
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