{"id":21398,"date":"2026-01-17T07:26:57","date_gmt":"2026-01-17T07:26:57","guid":{"rendered":"https:\/\/deazone.com\/en\/?p=21398"},"modified":"2026-01-17T08:22:38","modified_gmt":"2026-01-17T08:22:38","slug":"seps2026","status":"publish","type":"post","link":"https:\/\/deazone.com\/en\/seps2026","title":{"rendered":"Call for Papers: Special Issue on Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value (Socio-Economic Planning Sciences, Q1, ABS2*)"},"content":{"rendered":"\n

Call for Papers<\/strong>: Special Issue <\/em>of SEPS<\/p>\n\n\n\n

Call for Papers – Special Issue on Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value (Socio-Economic Planning Sciences, Q1, ABS2*)<\/p>\n\n\n\n

\"\"

Special Issue on: <\/strong>Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value
Submission deadline:<\/strong> 01 September 2026 (CLICK HERE<\/a>)

This Special Issue invites research that advances rigorous performance measurement in the age of GenAI by exploring the two-way relationship between GenAI and Data Envelopment Analysis (DEA):
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0How DEA can be used to assess efficiency\/productivity and broader performance in GenAI-enabled systems and organisations (e.g., quality, risk, equity, reliability, footprint).
\u00b7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0How GenAI can support or extend DEA, for example via data synthesis, model generation, interpretability, and bias correction.

Contributions should address one or more of the followings:<\/strong>
1.\u00a0\u00a0\u00a0\u00a0Methodological innovation in DEA inspired or enabled by GenAI
(e.g., new DEA formulations, variable selection\/frontier estimation supported by GenAI, bias correction, interpretability, synthetic-data validation with representativeness safeguards)
2.\u00a0\u00a0\u00a0\u00a0Empirically validated applications of DEA for evaluating AI-augmented processes
(e.g., benchmarking GenAI-enabled vs conventional workflows across public services, education, health, finance, supply chains)
3.\u00a0\u00a0\u00a0\u00a0Analytical frameworks linking GenAI and DEA for improved decision-making, policy evaluation, or resource allocation
(e.g., procurement and capacity planning for GenAI in public agencies\/universities, productivity change over time)

Submission guidance<\/strong>
Submit via Elsevier\u2019s Editorial Manager for Socio-Economic Planning Sciences and select article type \u201cVSI: GenAI and DEA\u201d. (CLICK HERE<\/a>)

Guest Editors<\/strong>
\u2022 Prof. V. Charles, PhD, PDRF, FRSS, FBCS, SFHEA, FPPBA<\/a> (Queen\u2019s University Belfast)
\u2022 Prof. Ali Emrouznejad<\/a> (University of Surrey)
\u2022 Dr. Marios Kremantzis PhD, SFHEA, CMBE, AFORS<\/a> (University of Bristol Business School<\/a>)
\u2022 Assoc. Prof. Dr Tatiana Gherman, PhD, PGCertRDS<\/a> (University of Northampton)<\/p>\n","protected":false},"excerpt":{"rendered":"

Call for Papers: Special Issue of SEPS Call for Papers – Special Issue on Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value (Socio-Economic Planning Sciences, Q1, ABS2*) Special Issue on: Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value Submission deadline: 01 September 2026 (CLICK HERE) … <\/p>\n

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