Data Enabled AnalyticsData Envelopment Analysis Data-oriented Analytics - Big data modeling - Productivity - Benchmarking - Efficiency - Performance
About DEAIC
Motivation
We started the DEAIC - Data Envelopment Analysis International Conference in the summer of 2016. The main objective of DEAIC is to position DEA as a
data-oriented data science tool for data analytics, benchmarking, performance evaluation,
and developing composite indexes, among other new uses, in addition to the traditional uses such as, production efficiency and productivity measurement.
We seek new DEA developments that are tailored for big data research and data analytics.
The conferences are about new uses and potentials of DEA under big data.
During the COVID-19 pandemic, DEAIC2020 is held virtually. As a result of this virtual DEAIC, our (future) conferences
promote research on Data Enabled Analytics.
DEA is a Data Science tool. We know DEA tranditionally stands for Data Envelopment Analysis. As OR/MS is moving into the area of
Operations Analytics, our DEA is evolving into Data Enabled Analytics tool.
A number of DEA special issues have featured DEA and Data Analytics.
Mission
While our research still bears the wonderful name of DEA, researcher and scholars around the global have already recognized its
new power in the era of big data research. Our conferences (DEAIC) intend to lead the efforts to showcase and push the research frontier of new DEA, and big data modelling.
Conferences
Conference Committees
Chair
Joe Zhu
Worcester Polytechnic Institute, USA
Advisory Committee
Yao Chen
University of Massachusetts Lowell, USA
Wade D. Cook
York University, Canada
Tsu-Tan Fu
Soochow University, Taiwan
Shiuh-Nan Hwang
Ming Chuan University, Taiwan
Chiang Kao
National Cheng Kung University, Taiwan
Hsuan-Shih Lee
National Taiwan Ocean University, Taiwan
Liang Liang
Hefei University of Technology, China
Sungmook Lim
Dongguk University, Korea
Wenbin Liu
Kent University, UK
Hiroshi Morita
Osaka University, Japan
Joseph C. Paradi
University of Toronto, Canada
Jesús T. Pastor
Universidad Miguel Hernández de Elche, Spain
Lawrence M. Seiford
University of Michigan, USA
H. David Sherman
Northeastern University, USA
Joe Zhu
Nanjing Audit University, China Worcester Polytechnic Institute, USA
Steering Committee
Vincent Charles
University of Bradford, UK
Sungmook Lim
Dongguk University, Korea
Mehdi Toloo
Technical University of Ostrava, Czech Republic
Weiwei Zhu
Nanjing University of Posts and Telecommunications, China
International Committee
Juan Aparicio
Universidad Miguel Hernández de Elche, Spain
Necmi Avkiran
University of Queensland, Australia
Chialin Chen
National Taiwan University, Taiwan
Chien-Ming Chen
Nanyang Technological University, Singapore
Ya Chen
Hefei University of Technology, China
Juan Du
Tongji University, China
Hirofumi Fukuyama
Fukuoka University, Japan
Don Galagedera
Monash University, Australia
Yeming Gong
University of Lyon, France
Song Han
Song Han, Renmin University of China
Adel Hatamimarbini
De Montfort University, UK
Mei-Ying Huang
National Taipei University, Taiwan
Zhimin Huang
Adelphi University, USA
Dariush Khezrimotlagh
Penn State University, Harrisburg, USA
Chia-Yen Lee
National Cheng Kung University, Taiwan
Zhanxin Ma
Inner Monglia University, China
Victor Podinovski
Loughborough University, UK
Maria Conceição Portela
Universidade Católica Portuguesa, Portugal
Inguruwatt Premachandra
Otago University, New Zealand
Paul Rouse
Auckland University, New Zealand
Biresh K. Sahoo
Xavier University, India
Wanfang Shen
Shandong University of Finance and Economics, China
Fernando Vidal
Universidad Miguel Hernández de Elche, Spain
Huaqing Wu
Hefei University of Technology, China
Jie Wu
University of Science & Technology of China
Xianhua Wu
Shanghai Maritime University, China
Feng Yang
University of Science & Technology of China
Guoliang Yang
Institute of Policy and Management, Chinese Academy of Sciences
This Impact Award recognizes individuals or organizations who have made an extraordinary
impact on DEA through exceptional services, innovation, and dedication to DEA research and practice.
These individuals and organizations show an ongoing commitment tothe DEA community at large.
For nominations, please contact any member of the Steering Committee at
deaic.org@gmail.com.
In the nomination, please include
a (brief) description of the qualification of the individuals/organizations being nominated.
DEAIC Steering Committee
Vincent Charles
Sungmook Lim
Mehdi Toloo
Weiwei Zhu
Research Enrichment Program
DEAIC offers help to high school students and undergraduate students who are interested in research experiences in business analytics and big data modeling.
Their research outcomes are selected to present in the DEAIC annual conferences and other academic conferences and workshops.
July 2-5, 2016, Nanjing, China
Data envelopment analysis (DEA) as a performance evaluation and benchmarking methodology has received increasing attention worldwide in the past several decades.
Parallel to the methodological developments of DEA, scholars have applied DEA to diverse fields, e.g. agriculture, health care, financial sectors, energy and environment.
DEAIC2016 welcomed more than 180 scholars and experts around the world to share their latest research work in DEA methodology and applications, explore and discuss the challenges
DEA is facing. The conference theme is DEA methodology advances and novel applications in governance and management.
The conference was held in Nanjing Audit University, Nanjing, China.
Please visit the conference website for details.
The joint Data Envelopment Analysis International Conference 2017 (DEAIC2017) and
Taiwan Productivity Workshop will be held July 7-10, 2017 in the famous historical city Hefei, China.
You are cordially invited to submit abstracts related to the theory and practice of DEA and SFA,
and other relevant performance evaluation tools within the conference theme of “DEA and Analytics and Productivity”.
We also seek contributions that can provide valuable insights and implications to the practice of DEA and SFA for productivity management,
performance evaluation and benchmarking.
Data Envelopment Analysis International Conference 2018 (DEAIC2018) is held during June 14-16, 2018 in Taipei, a modern metropolis, Taiwan. The DEAIC2018 is hosted by
National Taiwan Ocean University and Ming Chuan University. This DEAIC precedes the International INFORMS Conference June 17-20, Taipei, Taiwan.
Data Envelopment Analysis International Conference 2019 (DEAIC2019) will be held during June 28-30, 2019 in Canterbury, UK.
The conference is hosted by the University of Kent. You are cordially invited to submit abstracts related to the theory and practice of DEA and related area,
and other relevant performance evaluation tools within the conference theme.
We also seek contributions that can provide valuable insights and implications to the practice of DEA for productivity management,
performance evaluation and benchmarking.
Data Envelopment Analysis International Conference 2020 (DEAIC2020) will be held virtually during July 2020 due to COVID-19.
The DEAIC2020 conference is jointly organized by the Dongguk University, Seoul, Korea, and Nanjing Audit University, China.
The broad focus of this conference is DEA2, which comprises two interrelated knowledge domains, Data Envelopment Analysis and Data Enabled
Analytics. As such, the conference aims at bringing together researchers from the data envelopment analysis field and from a plethora of other analytics
areas under the common umbrella of DEA2, to share their research findings. Of particular interest are research studies dedicated to exploring the
new and potential power of DEA2 in the era of Big Data. Our conference intends to lead the efforts to showcase and push the research frontier of DEA2.
The conference extents an invitation to researchers from various fields of analytics, including business analysts, data scientists, OR/MS analysts,
economists, and academics and practitioners, who are engaged in performance evaluation and benchmarking, data-enabled analytic tasks such as
machine learning, deep learning, pattern recognition, classification, prediction, and forecasting.
You are cordially invited to submit abstracts related to the theory and practice of DEA2 and other relevant performance evaluation tools within the conference theme. In particular, we seek contributions that can provide valuable insights and implications from (Big) data-oriented analytics and algorithms, productivity, benchmarking, performance analytics, and composite indexes.
Data Envelopment Analysis International Conference 2021 (DEAIC2021) will be held during June 25-27, 2021 in Changsha, Hunan, China.
The conference is hosted by the Hunan University. You are cordially invited to submit abstracts related to the theory and practice of data-oriented DEA and related areas,
and other relevant performance evaluation tools within the conference theme.
We also seek contributions that can provide valuable insights and implications to the practice of DEA.
