AddisonS. M.CampionE. D.LandsmanM. J.RogalinC. L.VeehC. A. (2025). Making AI accessible to social work researchers: An exploratory analysis of using ChatGPT to screen articles for systematic and scoping reviews. Research on Social Work Practice. https://doi.org/10.1177/10497315251357190
2.
AxelrodR. (1997). The complexity of cooperation: Agent-Based Models of competition and collaboration. Princeton University Press. https://doi.org/10.1515/9781400822300
BarthR. P.BerrickJ. D.GarciaA. R.DrakeB.Jonson-ReidM.GyourkoJ. R.GreesonJ. K. P. (2022). Research to consider while effectively re-designing child welfare services. Research on Social Work Practice, 32(5), 483–498. https://doi.org/10.1177/10497315211050000
5.
BerrickJ. D.DrakeB.BarthR. P.GarciaA. R.Jonson-ReidM.GyourkoJ. R.GreesonJ. K. P. (2022). Research to consider while effectively re-designing child welfare services: A response to commentaries. Research on Social Work Practice, 32(5), 542–552. https://doi.org/10.1177/10497315221095497
6.
BerzinS. C.CoultonC. J.GoergeR.HitchcockL.Putnam-HornsteinE.SageM.SingerJ. (2016, September). Policy recommendations for meeting the Grand Challenge to Harness Technology for Social Good (Grand Challenges for Social Work Initiative Policy Brief No. 8). American Academy of Social Work & Social Welfare. https://doi.org/10.7936/K7930SPJ
BungerA. C. (2013). Administrative coordination in nonprofit human service delivery networks: The role of competition and trust. Nonprofit and Voluntary Sector Quarterly, 42(6), 1155–1175. https://doi.org/10.1177/0899764012451369
9.
ChungG.RodriguezM.LanierP.GibbsD. (2022). Text-mining open-ended survey responses using structural topic modeling: A practical demonstration to understand parents’ coping methods during the COVID-19 pandemic in Singapore. Journal of Technology in Human Services, 40(4), 296–318. https://doi.org/10.1080/15228835.2022.2036301
10.
ChungS. Y.O’NeillE. E. (2025). Our clients navigate complexity—Our research methods can too. Research on Social Work Practice. https://doi.org/10.1177/10497315251379410
DolanE. L.ElliottS. L.HendersonC.Curran-EverettD.St. JohnK.OrtizP. A. (2018). Evaluating discipline-based education research for promotion and tenure. Innovative Higher Education, 43(1), 31–39. https://doi.org/10.1007/s10755-017-9406-y
13.
FlahertyH.VyshedskyC.AuerbachC. (2025). Using R in research classes: A challenge to adopt new technology to improve social work education and clinical practice. Journal of the Scholarship of Teaching and Learning, 25(2), 80–92. https://doi.org/10.14434/josotl.v25i2.36467
FowlerP. J.HovmandP. S.MarcalK. E.DasS. (2019). Solving homelessness from a complex systems perspective: Insights for prevention responses. Annual Review of Public Health, 40, 465–486. https://doi.org/10.1146/annurev-publhealth-040617-013553
16.
FowlerP. J.MarcalK. E.ChungS.BrownD. S.Jonson-ReidM.HovmandP. S. (2020). Scaling up housing services within the child welfare system: Policy insights from simulation modeling. Child Maltreatment, 25(1), 51–60. https://doi.org/10.1177/1077559519846431
17.
FraserM.TaylorM. J.JacksonR.O'JackJ. (1991). Social work and science: Many ways of knowing?Social Work Research and Abstracts, 27(4), 5–15. https://doi.org/10.1093/swra/27.4.5
GehlertS.HallK. L.PalinkasL. A. (2017). Preparing our next-generation scientific workforce to address the grand challenges for social work. Journal of the Society for Social Work and Research, 8(1), 119–136. https://doi.org/10.1086/690659
20.
HovmandP. S. (2003). Analyzing dynamic systems: A comparison of structural equation modeling and system dynamics modeling. In PugesekB. H.TomerA.von EyeA. (Eds.), Structural equation modeling (pp. 212–234). Cambridge University Press. https://doi.org/10.1017/CBO9780511542138.010
21.
IharaE. S.LeeJ. S. (2019). Agent-Based modeling: Value added to social work research. Families in Society: The Journal of Contemporary Social Services, 100(3), 305–311. https://doi.org/10.1177/1044389419842764
22.
LanierP.RodriguezM.VerbiestS.BryantK.GuanT.ZolotorA. (2020). Preventing infant maltreatment with predictive analytics: Applying ethical principles to evidence-based child welfare policy. Journal of Family Violence, 35(1), 1–13. https://doi.org/10.1007/s10896-019-00074-y
23.
LazerD.PentlandA.AdamicL.AralS.BarabásiA.-L.BrewerD.ChristakisN.ContractorN.FowlerJ.GutmannM.JebaraT.KingG.MacyM.RoyD.AlstyneM. V. (2009). Computational social science. Science, 323(5915), 721–723. https://doi.org/10.1126/science.1167742
24.
LeeJ. S.Wolf-BraniginM. (2023a). Applying complex adaptive systems to build interdisciplinary collaborations and aid in understanding complicated social phenomena. Journal of Social Work Education, 59(sup1), S23–S35. https://doi.org/10.1080/10437797.2023.2213290
25.
LeeJ. S.Wolf-BraniginM. (2023b). Generating inclusive services for children, youth, and families: A shift to using complex systems theory. Child & Family Social Work, 28(4), 897–907. https://doi.org/10.1111/cfs.13010
26.
Martinez-BrawleyE. E.ZoritaP. M. (2016). Philosophic thinking in social work: An analysis of 30 years of social work editorials. Journal of Social Work Education, 52(sup1), S6–S15. https://doi.org/10.1080/10437797.2016.1174650
27.
MizrahiT.RosenthalB. B. (1993). Managing dynamic tensions in social change coalitions. In Community organization and social administration (pp. 11–40). Routledge.
28.
MizrahiT.RosenthalB. B. (2001). Complexities of coalition building: Leaders’ successes, strategies, struggles, & solutions. Social Work, 46(1), 63–78. https://doi.org/10.1093/sw/46.1.63
PattonD. U.LandauA. Y.MathiyazhaganS. (2023). ChatGPT for social work science: Ethical challenges and opportunities. Journal of the Society for Social Work and Research, 14(3), 553–562. https://doi.org/10.1086/726042
31.
PycroftA.LeeJ. S.Wolf-BraniginM. (2025). Exploring accumulative risk and protective factors for young people: An agent-based model. Research on Social Work Practice. https://doi.org/10.1177/10497315251371016
32.
ReyS. J.SmithR. J. (2013). A spatial decomposition of the Gini Coefficient. Letters in Spatial and Resource Sciences, 6(2), 55–70. https://doi.org/10.1007/s12076-012-0086-z
33.
RiceE.Yoshioka-MaxwellA. (2015). Social network analysis as a toolkit for the science of social work. Journal of the Society for Social Work and Research, 6(3), 369–383. https://doi.org/10.1086/682723
34.
Roberts-DeGennaroM.MizrahiT. (2005). Coalitions as social change agents. In WeilM. (Ed.), The handbook of community practice (pp. 305–318). Sage Publications. https://doi.org/10.4135/9781452220819.n16
35.
RodriguezM. Y.DePanfilisD.LanierP. (2019). Bridging the gap: Social work insights for ethical algorithmic decision-making in human services. IBM Journal of Research and Development, 63(4/5), 8:1–8:8. https://doi.org/10.1147/JRD.2019.2934047
36.
RodriguezM. Y.GoldkindL.VictorB. G.HiltzB.PerronB. E. (2024). Introducing generative artificial intelligence into the MSW curriculum: A proposal for the 2029 educational policy and accreditation standards. Journal of Social Work Education, 60(2), 174–182. https://doi.org/10.1080/10437797.2024.2340931
37.
RodriguezM. Y.OstrowL.KempS. P. (2017). Scaling up social problems: Strategies for solving social work’s grand challenges. Research on Social Work Practice, 27(2), 139–149. https://doi.org/10.1177/104973151665835
38.
RodriguezM. Y.StorerH. (2020). A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data. Journal of Technology in Human Services, 38(1), 54–86. https://doi.org/10.1080/15228835.2019.1616350
39.
SingerJ. B.BáezJ. C.RiosJ. A. (2023). AI Creates the message: Integrating AI language learning models into social work education and practice. Journal of Social Work Education, 59(2), 294–302. https://doi.org/10.1080/10437797.2023.2189878
40.
SmithR. J.LehningA. J.DunkleR. E. (2013). Conceptualizing age-friendly community characteristics in a sample of urban elders: An exploratory factor analysis. Journal of Gerontological Social Work, 56(2), 90–111. https://doi.org/10.1080/01634372.2012.739267
41.
StorerH. L.RodriguezM. (2020). Mapping a movement: Social media, feminist hashtags, & movement building in the digital age. Journal of Community Practice, 28(2), 160–176. https://doi.org/10.1080/10705422.2020.1757541
42.
StuartP. H.RodriguezM. Y. (2021). Eduard c. Lindeman analyzes the farmer’s cooperative marketing movement in 1923. Journal of Community Practice, 29(3), 203–213. https://doi.org/10.1080/10705422.2021.1982374
43.
TajimaE. A.DayA. G.KanuhaV. K.Rodriquez-JenKinsJ.PryceJ. A. (2022). What counts as evidence in child welfare research?Research on Social Work Practice, 32(5), 514–520. https://doi.org/10.1177/10497315211069549
UeharaE.FlynnM.FongR.BrekkeJ.BarthR. P.CoultonC.DavisK.DiNittoD.HawkinsJ. D.LubbenJ.ManderscheidR.PadillaY.SherradenM.WaltersK. (2013). Grand challenges for social work. Journal of the Society for Social Work and Research, 4(3), 165–170. https://doi.org/10.5243/jsswr.2013.11
46.
VictorB. G.SokolR. L.GoldkindL.PerronB. E. (2023). Recommendations for social work researchers and journal editors on the use of generative AI and large language models. Journal of the Society for Social Work and Research, 14(3), 563–577. https://doi.org/10.1086/726021
47.
YuM.-H.RoseR. A. (2025). Algorithmic-assisted decision-making tools in child welfare practice: A systematic review. Research on Social Work Practice, 0(0), 10497315251350933. https://doi.org/10.1177/10497315251350933