Call for Papers: Data Science Stream: AI, Big Data, and Performance Analytics (DEA) at OR68 [8–10 September 2026 | University of Nottingham, UK]

Call for Papers: Data Science Stream at OR68

We would like to invite you to submit an abstract to the Data Science Stream: AI, Big Data, and Performance Analytics (Data Envelopment Analysis – DEA) at OR68 – The OR Society Annual Conference 2026, taking place on 8–10 September 2026 at the University of Nottingham, UK.

This stream brings together researchers and practitioners working at the intersection of AI, machine learning, big data analytics, optimisation, and performance measurement (including DEA), with an emphasis on methodological advances and impactful real-world applications.

Abstract submission: [CLICK HERE]
About OR68: [CLICK HERE]

We welcome contributions on topics including, but not limited to:

  • AI and machine learning, including deep learning, generative and foundation models
  • AI applications for business and market implications, including adoption, governance, competitive strategy, and trustworthy and explainable AI
  • Data-driven and hybrid optimisation, predictive and prescriptive analytics
  • Performance measurement and benchmarking, including Data Envelopment Analysis (DEA) and related OR-based efficiency and productivity analysis
  • Integration of AI with OR models, such as intelligent decision-support systems, automated model building, and AI-enhanced analytics and optimisation

Particular attention will be given to research that bridges data-centric and model-centric approaches, demonstrating how AI and OR together can improve decision-making, system resilience, and efficiency assessment in domains such as healthcare, energy, sustainability, finance, logistics, and transportation. The stream will feature academic paper sessions, invited talks, keynote presentations, and panel discussions to explore emerging trends, methodological innovations, and future research directions. By fostering interdisciplinary exchange, the stream aims to strengthen the connection between AI, data science, and OR, showcasing how rigorous analytical methodologies can drive both theoretical advancement and practical impact.

The stream is organised by:

We warmly welcome contributions from academia and industry that advance OR theory or practice.

Abstract submission: [CLICK HERE]
About OR68: [CLICK HERE]

We would be delighted to see your work featured in the stream.

Best regards,
Ali Emrouznejad & Mahdi Tavalaei

Online DEA – 2 days – June 2026

Online DEA Course: Performance Measurement Using Data Envelopment Analysis (DEA) 

Details: https://dataenvelopment.com/course/

DATA ENVELOPMENT ANALYSIS COURSE:
June, 2026

For registration and further details please visit: https://dataenvelopment.com/course/

Early registration fee: 
April 30, 2026

Join our Performance Measurement courses on Data Envelopment Analysis (DEA) led by renowned experts Prof. Emmanuel Thanassoulis,  and Prof. Ali Emrouznejad

  • Limited Places – Allocated on a First-Come, First-Served Basis
  • Mode of Teaching: Online
  • Early Registration Discount – Register before April 30, 2026

DEA Course:

  • Friday, June 12, 2026 – 10.00 to 17.30 (UK time)
    Saturday, June 13, 2026 – 10.00 to 17.30 (UK time)
  • Presenters: Prof. Emmanuel Thanassoulis,  and Prof. Ali Emrouznejad

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*)

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)

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):
·      How DEA can be used to assess efficiency/productivity and broader performance in GenAI-enabled systems and organisations (e.g., quality, risk, equity, reliability, footprint).
·      How 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:
1.    Methodological 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.    Empirically 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.    Analytical 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
Submit via Elsevier’s Editorial Manager for Socio-Economic Planning Sciences and select article type “VSI: GenAI and DEA”. (CLICK HERE)

Guest Editors
• Prof. V. Charles, PhD, PDRF, FRSS, FBCS, SFHEA, FPPBA (Queen’s University Belfast)
• Prof. Ali Emrouznejad (University of Surrey)
• Dr. Marios Kremantzis PhD, SFHEA, CMBE, AFORS (University of Bristol Business School)
• Assoc. Prof. Dr Tatiana Gherman, PhD, PGCertRDS (University of Northampton)

Data Envelopment Analysis at IFORS2026, July 2026, Vienna, Austria

Dear Colleagues,

I would like to issue an invitation to take part in the Data Envelopment Analysis and Performance Measurement Stream of the IFORS2026 Conference. This conference will be held on July 12 to 17, 2026 in Vienna, Austria. Contributions from both the academic and the non-academic communities are welcome. (see details at http://www.DEAzone.com/en/ifors2026).

This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, and so on.

If you are interested in making a presentation at https://ifors2026.at/home/, using the following session codes:
– For DEA and SFA applications: “8b965d9e”
– For DEA / SFA modeling and theory: “3334941e”

– If you are interested to organise a session on specific topic of DEA (or SFA) please contact me (ae0027@surrey.ac.uk). Each session normally consists of 4 papers.

Important dates:
Deadline for submission abstract: March, 01, 2026.
Early-bird Registration:  April 25, 2026.
Final registration: May 1, 2026
Conference date: July 12 to 17, 2026
Conference Venue: Vienna, Austria

Best regards
Ali Emrouznejad
Professor and Chair in Business Analytics
Surrey Business School, University of Surrey, Guildford, UK, UK
Email: a.emrouznejad@surrey.ac.uk
Web: http://www.emrouznejad.com
Linkedin: https://www.linkedin.com/in/emrouznejad
Online DEA course:
https://dataenvelopment.com/course/

https://dataenvelopment.com/course/  

Call for Papers: Special Issue of OMEGA on Data-Enabled Analytics for Insightful and Responsible Decision-Making

Call for Papers: Special Issue of OMEGA

Special Issue on: “Data-Enabled Analytics for Insightful and Responsible Decision-Making”
Submission Deadline: 31 December 2026
Submission Opens: 10 November 2025

Guest Editors:
Prof. Dariush Khezrimotlagh
School of Science, Engineering, and Technology,
Pennsylvania State University – Harrisburg
dk@psu.edu

Prof. Joshua Ignatius
Department of Business Analytics and Information Systems,
Aston Business School, Aston University (UK)
j.ignatius@aston.ac.uk

Motivation and Scope

In today’s complex and dynamic environment, organizations must move beyond siloed descriptive analytics and adopt integrated, data-enabled approaches for decision-making.
This special issue focuses on intelligent data-driven methods—including efficiency analysis, causal inference, machine learning, explainable AI, and real-time analytics—to support robust, fair, and transparent decisions.

We welcome contributions that push the boundaries of analytics to handle real-world complexity—balancing competing objectives, stakeholder interdependence, and the need for timely and trustworthy insights.

Topics of Interest

We invite submissions on (but not limited to):
Hybrid analytics frameworks (e.g., DEA, ML, causal inference)
Causal and predictive modeling for actionable insights
Benchmarking and performance evaluation beyond surface metrics
Fairness, ethics, and trustworthy AI
Game-theoretic and strategic analytics for data-rich environments
Human-centric and explainable decision support
Real-time and dynamic analytics under uncertainty
Empirical validation and industry collaboration

Expected Contributions

Submissions should:

  • Combine methodological rigor with practical relevance
  • Provide clear managerial or policy implications
  • Demonstrate empirical or simulation-based validation

How to Submit

When submitting to the journal’s editorial system , please select the article type:
“VSI: Data-Enabled Analytics.”

Keywords:
Data-enabled analytics · Hybrid frameworks · Causal and predictive modelling · Explainable and Responsible AI · Game-theoretic analytics · Performance analytics

Call for Papers: AU-ICDSA2026 (International Conference on Digital Transformation, Sustainability, & AI – | Kuwait & Online | February 3-5, 2026

Call for Papers: AU-ICDSA2026
International Conference on Digital Transformation, Sustainability, & AI
Human-Machine Collaboration for Sustainable Growth and Harnessing the Potential of AI

Location: Kuwait & Online | Dates: February 3-5, 2026
Organizer: Australian University, Kuwait City, Kuwait

Submit Abstract here: https://cmt3.research.microsoft.com/ICDSA2026 (Deadline: October 31, 2025)


About
AU-ICDSA 2026 will explore the profound impact of the Fourth Industrial Revolution where AI, humanoid robotics, and human-machine collaboration are driving transformative change. As governments and industries invest in digital economies and sustainable development, this interdisciplinary conference will provide a vital platform for scholars, policymakers, practitioners, and innovators to share cutting-edge research, practical insights, and policy frameworks. Organized by the Australian University, Kuwait, in collaboration with the Centre for Business Analytics in Practice (CBAP) at University of Surrey, United Kingdom, the event aims to foster inclusive dialogue and actionable strategies to build resilient, AI-enabled futures.
The conference will be preceded by three pre-conference workshops designed to provide hands-on learning and deeper engagement with key themes.

Themes
• AI, Robotics, and Digital Economies in the MENA Region
• Business Innovation & Performance through AI-Driven Transformation
• AI and Sustainability in Higher Education
• Economic Diversification and Smart Manufacturing
• STEAM Education & Youth Employment in the AI Era
• AI-Powered Smart Cities and Urban Resilience
• Leveraging AI for Knowledge Economies and Entrepreneurship

Best regards

Ali Emrouznejad, BSc, MSc, PGc, PhD, FIMA
Professor and Chair in Business Analytics
Director, Centre for Business Analytics in Practice (CBAP)  

Call for Papers: Frontier Technologies, Business Analytics, and Supply Chain Resilience, November 8-11, 2025, Doha, Qatar

Call for Papers – Track 6: Frontier Technologies, Business Analytics, and Supply Chain Resilience
Conference: ESI2025 – 8th International Conference on Entrepreneurship for Sustainability & Impact

Location: Doha, Qatar | Dates: November 8–11, 2025

Submit here: https://cmt3.research.microsoft.com/ESI2025/Track/7/Submission/Create

Abstract Submission: July 31, 2025
I would like to invite your submissions focusing on how frontier technologies—including AI, Blockchain, IoT, Quantum Computing, Digital Twins, Robotics, and Advanced Analytics—are reshaping business strategy, enhancing supply chain resilience, and driving sustainability.  

Topics include (but are not limited to):
– Data-driven strategies for resilient supply chains
– Digital transformation in logistics and operations
– Business analytics under uncertainty and disruption
– Tech-enabled sustainability in enterprise systems
– Ethical and socio-economic dimensions of frontier tech  

Special Opportunity:
Selected high-quality papers will be invited for submission to a Special Issue in the Q1 journal Socio-Economic Planning Sciences (SEPS): see https://deazone.com/en/esi2025-seps

Awards & Benefits: Best Paper Awards: $1,000 | $750 | $500 Best Case Study & Poster Awards Best Dissertation-Based Paper Awards ($750)

PhD Travel Grants (up to 5 full-paper awards with accommodation & travel covered)

No registration fee for postgraduate (PhD/Master’s) students   This is a great platform to share impactful research, network with global experts, and contribute to shaping the future of business, technology, and sustainability.  

For more information about the conference please visit: https://www.qu.edu.qa/en-us/conference/esi2025/

Best regards

Ali Emrouznejad, BSc, MSc, PGc, PhD, FIMA
Professor and Chair in Business Analytics
Director, Centre for Business Analytics in Practice (CBAP)  

The following papers might be of your interest:

  • Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review, IMA Journal of Management Mathematics (doi).
  • Azadi, M., R, Kazemi Matin, A. Emrouznejad, and W. Ho(2023) Evaluating Sustainably Resilient Supply Chains: A Stochastic Double Frontier Analytic Model Considering NetZero. Annals of Operations Research (doi).
  • Taleb, M., , R. Khalid, A. Emrouznejad, R. Ramli (2023). Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero. Environment, Development and Sustainability (doi).
  • Emrouznejad A., G. L. Yang and G. R. Amin (2019) A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries, Journal of the Operational Research Society, 70 (7): 1079-1090. (doi). Production, 223 (20): 641-650. (doi).
  • Emrouznejad, A., G. L. Yang (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index, Energy Policy 96: 397–410. (doi).
  • Emrouznejad, A., ­G. L. Yang (2016) A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries, Energy 115 (1): 840-856. (doi)

Socio-Economic Planning Sciences: Special issue on Frontier Technologies, Business Analytics,and Supply Chain Resilience

Submission details to this SI: Call for papers

Socio-Economic Planning Sciences: Special issue on
Frontier Technologies, Business Analytics, and Supply Chain Resilience

Guest Editors
Professor Ali Emrouznejad,
Dr Abdellatef Majed Anouze,
Professor Lanouar Charfeddine,
Dr Abdolreza Roshani,

Call for papers

In an era of increasing global uncertainties, frontier technologies, business analytics, and optimization are vital for enhancing decision-making, operational efficiency, and resilience across public and private sectors. Advances in artificial intelligence (AI), machine learning, blockchain, the Internet of Things (IoT), digital twins, and optimization techniques are transforming how organizations and governments anticipate disruptions, optimize resources, and ensure sustainable supply chains. This special issue seeks interdisciplinary research integrating quantitative models, advanced analytics, optimization, and emerging technologies to tackle critical decision-making challenges in service industries and public sector operations. Given the mission of Socio-Economic Planning Sciences, we particularly encourage contributions focusing on applications in developing countries and economically emerging regions.

As part of 8th International Conference on Entrepreneurship for Sustainability & Impact (ESI2025), this special issue invites high-quality papers presented at the conference, while submissions are also open to others.

Scope and Topics:

We welcome research that applies quantitative modelling, operations research, and management science to public sector challenges, service industries, and socio-economic development.

Optimisation, Business Analytics, and Decision-Making

  • AI-driven predictive and prescriptive analytics for public sector and business applications
  • Mathematical programming, simulation, and exact and heuristic optimisation for supply chain and public policy decisions
  • Machine learning and hybrid AI-optimisation models for logistics and infrastructure planning
  • Blockchain for secure, transparent, and optimised supply chain management
  • Digital twins and IoT-enabled decision support and real-time optimisation

Supply Chain Resilience and Risk Management

  • Data-driven models for supply chain disruptions, risk assessment, stress testing, and adaptive recovery
  • Robust and stochastic optimisation for sustainable, resilient, viable, and reconfigurable supply chains
  • Cybersecurity risks, resilience, and stress testing in digitally connected supply chains
  • Circular economy and sustainability-driven supply chain design
  • Impact of economic and geopolitical uncertainty on supply chain optimisation and policymaking

Socio-Economic Impacts and Policy Implications

  • Digital transformation in public sector logistics, and infrastructure planning
  • AI and data-driven policies for resource allocation and urban planning
  • Optimisation models for public-private partnerships and sustainable development
  • Ethical considerations and governance of AI and automation in service industries
  • Socio-economic trade-offs in adopting frontier technologies for resilient supply chains.

Instructions for Authors can be found at:

Authors should submit a cover letter and manuscript via the journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and, if accepted, may be transferred to a regular issue.

Please see the Author instructions on the website, when submitting, please select the special issue’s title “Frontier Technologies”, to ensure that it will be reviewed for this special issue (https://www.editorialmanager.com/seps/default2.aspx).   

Submitted papers must be original and should not have been previously published or currently under consideration for publication elsewhere. All papers will undergo a rigorous peer review process managed by the Guest Editors. Accepted papers will be published online individually before the print publication.

Important Dates

1 October 2025:Submission open:
submit at: https://www.editorialmanager.com/seps/default2.aspx
(early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2026:Submission close
31 July 2026:Notification of status and acceptance of paper
31 October 2026:Revised manuscripts
31 December 2026:Final version of paper

Guest Editors

Ali Emrouznejad
Professor and Director of Centre for Business Analytics in Practice,
Surrey Business School
University of Surrey, UK a.emrouznejad@surery.ac.uk		Abdellatef Majed Anouze,
Associate Professor,
College of Business and Economics,
Qatar University, Qatar
a.anouz@qu.edu.qa

Lanouar Charfeddine,
Professor and Head of Research and Policy Unit College of Business and Economics,
Qatar University, Qatar
lcharfeddine@qu.edu.qa		Abdolreza Roshani,
Assistant professor in Department of Business Analytics and Operations, Surrey Business School, Guildford, UK, a.roshani@surrey.ac.uk

ICBAP2025: International Conference on Business Analytics in Practice, August 24-27, 2025, University of Piraeus, Greece

Call for papers: ICBAP2025
International Conference on Business Analytics in Practice 2025
Venue: University of Piraeus, Greece
Date: August 24-27, 2025  
LinkedIn: CLICK HERE
Submission: https://academyba.com/icbap2025/.
Dear Colleagues,
We would like to invite you to participate in the International Conference on Business Analytics in Practice (ICBAP 2025), which will be held in Greece from August 24-27, 2025. This conference is organised by the Centre for Business Analytics in Practice at the University of Surrey in collaboration with the Business Administration Department at the University of Piraeus.

The Call for Papers is now open. Selected papers will have the opportunity to be considered for special journal issues and inclusion in the Scopus-indexed book, Advanced Data Analytics, Machine Learning, and AI in Business, published by Springer as part of the Lecture Notes in Operations Research series.

This year’s theme, ‘Machine Learning & AI in Business’, focuses on the latest advancements and applications of artificial intelligence and analytics in business decision-making. We encourage academics, researchers, and industry practitioners to submit papers that contribute to theoretical, methodological, and empirical advancements in business analytics. The conference will feature keynote speeches, panel discussions, and special sessions, providing a dynamic platform for interdisciplinary collaboration and networking.

Key Dates:
Abstract Submission Deadline: April 30, 2025
Early Registration Deadline: May 31, 2025
Regular Registration Deadline: June 30, 2025
Full Paper Submission Deadline for Proceedings: July 31, 2025
For more details on submission guidelines, registration, and program updates, visit https://academyba.com/icbap2025/.

We look forward to welcoming you to ICBAP 2025 in Piraeus, Greece!
Best regards
 
Ali
Ali Emrouznejad
Professor and Chair in Business Analytics
Director, Centre for Business Analytics in Practice
| Email | Website | LinkedIn | Google Scholar | Research Gate|

On behalf of the Organizing Committee:
Prof. Ali Emrouznejad (Surrey Business School, UK)
Prof. Sotirios Bersimis (University of Piraeus, Greece)
Prof. Dimitrios A. Georgakellos (University of Piraeus, Greece)





 

Online DEA & SFA course – 3 days – October 2025

Online Courses on:

Performance Measurement Using Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)

Details: https://dataenvelopment.com/course/

DATA ENVELOPMENT ANALYSIS COURSE:
October, 2025

STOCHASTIC FRONTIER ANALYSIS COURSE:
October, 2024

For registration and further details please visit: https://dataenvelopment.com/course/

Early registration fee: 
August 31, 2025

Join our Performance Measurement courses on Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA), led by renowned experts Prof. Emmanuel Thanassoulis,  Prof. Ali Emrouznejad and Dr. Dimitris Giraleas

  • Limited Places – Allocated on a First-Come, First-Served Basis
  • Mode of Teaching: Online
  • Early Registration Discount – Register before August 31, 2025

DEA Course:

  • Thursday, October 9, 2025 – 13:00 to 17:30 (UK time)
  • Friday, October 10, 2025 – 13:00 to 17:30 (UK time)
  • Saturday, October 11, 2025 – 13:00 to 17:30 (UK time)
  • Presenters: Prof. Emmanuel Thanassoulis,  Prof. Ali Emrouznejad

SFA Course:

  • Monday, October 13, 2025 – 13:00 to 17:30 (UK time)
  • Tuesday, October 14, 2025 – 13:00 to 17:30 (UK time)
  • Wednesday, October 15, 2025 – 13:00 to 17:30 (UK time)
  • Presenters: Prof. Emmanuel Thanassoulis & Dr. Dimitris Giraleas

 Secure your spot today and enhance your expertise in performance measurement!

Details: https://dataenvelopment.com/course/