Maria Raffai, PhD

IFIP Honorary Secretary (2010-2013) and Councilor (2016-2019)
Széchenyi István University, Hungary

Maria Raffai is a professor of the Széchenyi István University (Hungary, Gyõr). She is an expert in information modeling, IS engineering methodology, in business process re-engineering improvement so far as in operation research and decision making. She has developed a wide and successfully used BPR (Business Process Re-engineering) methodology adapted for the Central and Eastern European business cultures. The methodology is copyrighted under No. 99220002T. As an acknowledged expert in information science she took part on several conferences, published papers and books. She obtained her Doctoral and PhD Degree in the field of Enterprise Requirements Planning and Business Information Systems. Beside fulfilling her educational duties she is playing very active role in scientific and professional public appearance: she is the founder and still now the chair of the Scientific and Educational Forum for Business Information Systems (SEFBIS), the chief editor of SEFBIS Journal, the former vice president of John von Neumann Computer Society (2000-2006), former honorary secretary (2010-2013) and councillor of IFIP (2016-2019), vice chair of the Enterprise Information Systems Working Group (WG 8.9), member/chair of several International Program Committees (e.g. IRMA, ISBIS, OGIK, SM, IDIMT, CONFENIS conferences). In recognition of her professional activity she was awarded by the "John von Neumann Award” (1999), two Publication Awards (2000, 2001), “Master Professor Medal” (2003), she became “IT Professor of the Year” in 2005, received an Award for activity performed in the filed of Information Science (2006), “IFIP Internal Service Award” (2010), acknowledgement for results achieved in education and developing talents (2013), Oeuvre-Award for the lifelong, committed activity and results (2020). More information about her professional activity: http://raffa6.wixsite.com/mariaraffai.

Title: Conference Series: CONFENIS--A Success Story of Enterprise Information System Events
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Conference Series: CONFENIS
A Success Story of Enterprise Information System Events
Mária Raffai – A Min Tjoa – Li Da Xu
Officers of IFIP WG 8.9 EIS Special Interest Group At the beginning of 21st Century the Chinese professionals recognized the need for a professional community that internationally undertakes all the tasks and responsibilities of developing and applying Enterprise Information Systems. The first idea had come up to the surface in 2004 at the ICIIP Business Intelligence and Intelligent Enterprise Computing Workshop held in Beijing (China), where the participating experts on ERPs discussed the aims of an international community and decided to launch a new special interest group. Weighted up many opportunities, they found that the International Federation on Information Processing Association (IFIP) would be the best frame and even the Information Systems Committee would be the appropriate umbrella to support the required needs. The colleagues entrusted professor Li Da Xu with submitting the decision of establishing a new Working Group towards the IFIP TC8 Board. In 2005 at the 36th TC8 Business Meeting in Guimaraes (Portugal) professor Li Da Xu (Old Dominion University, USA) presented the proposal to start a new Working Group on Enterprise Information System (EIS). After a painstaking discussion the TC8 Board’s members decided to postpone the decision and left it open for the next TC8 meeting in autumn 2006. The main acceptance condition of establishing the new WG was the expectation to organize a successful international conference in the relevant topic.
The first conference was transacted in April in Vienna by A Min Tjoa, who reported at the regular annual TC8 meeting in 2006 (Santiago de Chile) that the first edition of CONFENIS was well attended with more than 80 participants. After this the aims and scopes were defined and the new Working Group of IFIP designated its board, the TC8 leadership made the decision and its Board voted and unanimously approved the establishment of the WG 8.9. The members of the WG 8.9 make studies of technical, organizational and social aspects of EIS with emphasis of the business impacts, the efficiency and the implications of the new technology. A new conference series, named CONFENIS was launched and after a 15 Years period we can announce that with great success 😊! The conferences were held in four continents, the papers were published in different books, proceedings and professional journals. It is a great pleasure for the WG 8.9 founders and officers that the CONFENIS conference has been keeping going on also in the difficult period of COVID pandemic, and now we are able to organize Confenis conference at least on-line.
On behalf of the founders, supporters and even of the leadership of WG 8.9 Working Group herewith we would like to express our thanks to the host Institutes, the supporters and all the colleagues who are taking part in organizing of our conference!

Didem Gürdür Broo, PhD

University of Cambridge, UK

Dr. Didem Gürdür Broo is an experienced researcher who is trained as a computer scientist. She holds MSc in computer science and PhD degree in mechatronics. Currently, she is a research associate at the University of Cambridge. She is with the Center for Smart Infrastructure, Laing O'Rourke Centre for Construction and Technology, and the Center of Digital Built Britain. Her current research interest is on data science for cyber-physical systems such as collaborative robots, autonomous vehicles and smart cities. She strongly advocates the importance of transdisciplinary, collaborative research. Her research focuses on blending systems thinking, future studies and design thinking approaches to develop methods, methodologies and implementations for the purpose of overcoming interoperability, complexity and sustainability challenges related to cyber-physical systems.
Dr. Didem Gürdür has been granted prestigious Marie Skłodowska-Curie Global Fellowship to conduct research on her own project on human-centred and sustainable cyber-physical systems at Stanford University starting from September 2021. She has been granted IEEE Senior Membership due to her significant performance and excellence over the last five years. She is a data champion of the University of Cambridge, a member of European AI Alliance, and Women in AI Ethics. She actively contributes to the discussions of all aspects of data, artificial intelligence and their impact on the society.

Title: Data as a journey, not a destination


High quality, trustworthy data can help organizations build strategies, capture value, increase the potential of automation and enable insightful and fast decision-making. Data could change the cities we inhabit through real-time solutions to challenges such as traffic congestion, air quality, energy distribution and monitoring. Data could enable us to be more effective, efficient, sustainable. Data is already changing the world one industry at a time. Despite this potential, research shows that as few as 10 per cent of companies are attempting to put data and artificial intelligence to work across their businesses. Some industries such as telecommunications, automotive and financial services are doing relatively well catching up with the level of maturity seen in information and communication technologies, while others such as health care, education, government, and construction are still not close to realizing the full potential of data. Adopting data-oriented approaches is a destination, yet one cannot reach that point without taking the journey. This journey requires companies to curate, collect, assess, operationalize, analyze, visualize and algorithmize data. The process can be long, and new skill sets and perspectives are necessary – as well as investment – for a successful application. However, the opportunities are as limitless as the change is inevitable. Data is often referred to as “the new oil”. I always found this metaphor a bit scary. Today we are, on one hand, grateful for the changes that oil fueled. Yet on the other hand, one of the world’s biggest struggles today is waste from this revolution – the climate change. Now that we are at the beginning of a new era, which many call the fourth industrial revolution, it is vital to understand how data-related decisions of today can affect the future and minimize waste from the start. Therefore, it is essential to acquire the fundamentals of data, know how it will be useful for our industry and learn the lessons of other industries to avoid repeating their mistakes. To this end, our strategy should be not only collecting data but collecting the right amount of data for the right purpose, instead of collecting data without a well-defined objective. This requires companies to ask important questions, put initial data management plans in action and continuously check the quality of the data. To enable sustainable, optimized decisions we need not only our data but also data from others. Thus, discussions on how to integrate and share data are more important than ever. If the traditional companies which could benefit most from data and artificial intelligence want to be able to compete, profit and help to build a sustainable world, the decision makers must start embracing data, hire the right people and put in place the required policies to gather the correct data, make it accessible and assess its quality. Only in this way will our industry be in a position to truly take advantage of the next industrial revolution.