Secondments

RISE_BPM's Innovation and Staff Exchange will be documentend in terms of secondments. They will be presented and archived within this section. 

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2016-09-21–2016-10-23: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Nadine Ogonek

Researcher: Nadine Ogonek

Researcher Category: Early stage researcher
Website: http://www.erc.is
Goal of the stay:

The goal of the secondment is to find ways how to increase the transparancy of governments by analyzing their language that needs to be understood by citizens in order to be efficient. Another goal will be to work on the education of citizens in order for them to better understand govermental orders and documents.


Work package addressed: WP5: Analysis of Societal Impact Factors (Phase 1)

2016-09-20–2017-03-20: Ulsan National Institute of Science and Technology (UNIST) to Technische Universiteit Eindhoven (TU/e)

Minsu Cho

Researcher: Minsu Cho

Researcher Category: Early stage researcher
Website: http://aim.postech.ac.kr
Goal of the stay:

The goal of the secondment is to continue and improve works on healthcare process analyses with process mining. We will try to find a way how to combine existing knowledge from two organizations and develop more innovative works. Also, another goal of the stay is to investigate open issues for making a bridge between the big-data technology and process mining. 


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-09-20–2016-11-18: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Moritz von Hoffen

Researcher: Moritz von Hoffen

Researcher Category: Experienced researcher
Website: http://erc.is/p/moritz.von.hoffen
Goal of the stay:

During my secondment at POSTECH university, I would like to pursue two different research endeavors. 

The first idea is to work on the application of sentiment analysis methods in the domain of the Sharing Economy. This research is closely related to WP1. In this context, I would like to conduct sentiment analysis on two different kinds of data provided from users of the Airbnb service. At first, tweets mentioning the hashtag #airbnb were collected over a duration of a couple of prior to my secondment. These tweets will be analyzed using techniques of Natural Language Processing (NLP) and sentiment analysis to derive insights regarding factors affecting service delivery in the Sharing Economy. Complementary to the analysis of tweets, reviews provided on the Airbnb website will also be analyzed. This serves the cause to investigate, whether the sentiments contained in tweets are in line with the ones mentioned in reviews.

The second idea that I would like to work on is the analysis of charging transaction data of electric vehicle’s charging transaction. Due to the real-time analytics and the involved smart charging stations, the WP2 and WP3 and possibly WP4 will benefit from this research. The enrichment of charging transaction data with contextual information, e.g. weather and POIs nearby, can be used to learn about charging behavior. In previous communication, the option of retrieving charging transaction data of the Korean-based PMGROW was discussed. Such a data set would allow for application of the different approaches for analytics and should yield interesting results.  


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP3: Technological Enablers – Real-time Computing (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-09-17–2016-11-17: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Bedilia Estrada-Torres

Researcher: Bedilia Estrada-Torres

Researcher Category: Early stage researcher
Website: http://www.us.es/acerca/directorio/ppdi/personal_13052
Goal of the stay:

Knowledge Intensive Processes are unstrutured or ad-hoc processes that contain activities that typically involve or exchange a great amount of tacit knowledge in their execution and almost no rules about the subsequent activities are defined beforehand. This information, involved or exchanged, may provide valuable information about the performace of a process execution and may act as an indicator of it. The Process Performance Indicators (PPIs) are quantifiable measures that provide valuable insights about the performance of processes and the organizations where they are applied. These PPIs are usually applied to a tradicional structured business process.

The goal of this secondment is to identify how PPIs can be defined over KIP. In order to do this, two ontologies have been analysed: PPINOT, an ontology focused in the definition of PPIs over business processes, and Knowledge-Intensive Process Ontology (KIPO) that reflects the main aspects that characterize KIPs.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-09-17–2016-09-30: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

This is the second part of a one-month secondments split into two shorter stays, the first started in June 2016, the 28th and finished in July 2016, the 15th. The goals for this second period remain the same as the ones defined for the first one. I copy them below:

The goals of this secondment are framed into two contexts: Process model understandability and validation and Business Process-Oriented Knowledge Management (BPO-KM). In the following we introduce them and set the goals:

  1. Business process models are artifacts that can be used to support the understanding of how to obtain a service or product. However, the misunderstanding produced by “hard” process model notations prevents not only the understanding of the process, but also the implementation of appropriate tools to support them and the current practice of a service. One goal of this secondment is to build upon previous research results of the collaborating groups (from UNIRIO and USE) and other existing approaches to investigate possible mechanisms to automatically obtain highly understandable process models from existing BPMN models.
  2. Knowledge Management aims to promote the growth, communication and preservation of knowledge within an organization, which includes managing the appropriate resources to facilitate knowledge sharing and reuse. Business Process-Oriented Knowledge Management (BPO-KM) focuses on discovering and representing the dynamic conversion of existing knowledge among participants involved in executing business processes. In this context, Knowledge-Intensive Processes (KPIs) are a very important and challenging specific subclass of processes, since they strongly involve socialization and informal exchanges of knowledge among participants. BPO-KM aims at identifying, modeling, analyzing and refining KIPs. As part of this, the performance measurement of KIPs plays a key role for their holistic management and improvement. In this secondment we plan to investigate how existing approaches for the definition of process performance indicators can be adapted or extended to measure the performance of KIPs.

Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-09-15–2016-10-18: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Monika Malinova

Researcher: Monika Malinova

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/team/malinova/en
Goal of the stay:

A process map is an abstract and visual overview of all business processes of an organization and the relations between them. It is considered as the level one of a process architecture and is intended to show how an organization operates without necessarily going into the process details. The main goal of this secondment is to empirically evaluate a visual language for designing process maps. During the secondment we will collaborate with an industry partner of UNIRIO, a Brazilian company situated in Rio de Janeiro, with the aim to design their process map using the newly developed language. In addition, we will apply Natural Language Processing techniques on process documentation provided to us by the company to analyze and discover patterns of appropriate labelling of processes seen on process maps.      

 


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-30–2016-09-30: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects often need to adhere to predefined guidelines or carried out according to a specific process. This is, for instance, when building software for human and data centric processes, which are subject to strict rules and regulations. However, normally the software development process is not managed by a process engine. To ease the burden of the monitoring or the retrospective analysis of its activities, an automated discovery of the software development process is required. The goal of this secondment is to research effective ways to discover clues of software development activities by analysing log data from Version Control Systems. Natural language processing (NLP) techniques will be used in order to classify user comments into specific activities of a software development process.

 


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-28–2016-09-27: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Claudio Di Ciccio

Researcher: Claudio Di Ciccio

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/diciccio/en/
Goal of the stay:

Knowledge-intensive Processes (KiPs) are business processes lying on the intersection between the BPM and the Knowledge Management (KM) fields . They are collaborative workflows which heavily depend on the tacit knowledge of the participants, which drives the decisions and strategies taken during the process life-cycle. Owing to that, they tend to be very flexible, as they can change at every instantiation. This characteristic suggests the utilisation of declarative specifications of their behaviour. In the light of the above, the objective of the secondment is to join the respective expertise acquired in the field by the partners in order to further advance in the investigation of KiP mining. In particular, studies will be conducted to enhance the declarative process discovery algorithms with Natural Language Processing techniques, both to aggregate the extracted information, and enlarge the possibility to mine KiPs out of partially structured or unstructured texts. The actors of a KiP cooperate by means of the exchange of information in the so-called knowledge items. Due to the prominent role that information and resource perspectives play in KiPs, it is of high interest and hence in the plans to devise new approaches capable of mining not only the control flow, but also the knowledge items and the active participants in the context of KiPs.  


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-22–2016-12-21: Westfälische Wilhelms-Universität Münster (WWU) to University of Liechtenstein (UNI-LI)

Markus Monhof

Researcher: Markus Monhof

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/markus.monhof
Goal of the stay:

The goal of the secondment is to extend previous research on quality in smart service processes that was conducted during a previous secondment. Data from social media (WP1) is analyzed using big data technologies (WP4 ) to gain insights on influence factors and outcomes of service quality. Smart devices (WP2) as potential enablers of high quality in services processes are examined.

Furthermore, a business process for the reconfiguration of used electric vehicle batteries that is enabled by smart battery monitoring (WP2) soultions is developed.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-05–2016-08-19: University of Liechtenstein (UNI-LI) to Wirtschaftsuniversität Wien (WU)

Bernd Schenk

Researcher: Bernd Schenk

Researcher Category: Experienced researcher
Website: https://www.uni.li/de/universitaet/institute/institut-fuer-wirtschaftsinformatik
Goal of the stay:

The goal of this secondment is to investigate the potential of Enterprise Systems for different kinds of innovations like process innovation and digital innovation. Due to latest technologies established in the field of Enterprise Systems (e.g. Big Data and In-Memory Computing) the role of Enterprise Systems changes to a more active one, being not just an enabler but driver of innovation for many companies.

 


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-04–2016-09-05: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Gerhard Wohlgenannt

Researcher: Gerhard Wohlgenannt

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/wohlgenannt
Goal of the stay:

With the exponential growth of data available on the Web, especially in the from of unstructured natural language text, text mining technologies are crucial components in business analytics and big data analysis. Obviously, BPM can benefit from text mining methods and tools, too.
In the from of a use-case study, we will apply state-of-the-art text mining methods to extract opinions and topics in the 2016 US presidential election campains. More precisely, we analyse data from the Twitter Streaming API about the presidential candidates, and use methods such as topic modeling and word embeddings to gain insights about the motivations and opinions of social media users. For topic modeling we apply Latent Dirichlet Allocation (LDA), and for word embeddings the word2vec toolkit. We also develop a Web interface to present and visualize the results of the various analysis components like LDA topic modelling and word embeddings. The Web interface builds on existing tools such as pyLDAvis and the Webvectors (RusVectōrēs) toolkit.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Isabell Wohlgenannt

Researcher: Isabell Wohlgenannt

Researcher Category: Early stage researcher
Website: https://www.uni.li/isabell.wohlgenannt
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Alexander Simons

Researcher: Alexander Simons

Researcher Category: Experienced researcher
Website: https://www.uni.li/de/universitaet/institute/institut-fuer-wirtschaftsinformatik
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-08-01–2016-08-12: University of Liechtenstein (UNI-LI) to Westfälische Wilhelms-Universität Münster (WWU)

Markus Weinmann

Researcher: Markus Weinmann

Researcher Category: Experienced researcher
Website: https://www.uni.li/markus.weinmann
Goal of the stay:

The goal of the secondment is to cooperate on data analysis in the field of gamification with researchers from University of Münster. Goal of the research project is the identification of gaming mechanisms and skills which might be relevant for showing high performance in strategy games and in work life. Companies could modify their way of assessing applicants in accordance to the results of this research project.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-07-29–2016-08-31: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

This research visit to QUT Brisbane is dedicated to the investigation of process query languages for managing process-related event data such as from RFID readers, GPS signals, AIS transponders of other sorts of event data. In order to analyze such data, it is typically required to conduct various steps of pre-processing including filtering, aggregation and matching. Todays process mining tools do not directly support such operations, but rather assume that the process-related event log data is harmonized and integrated. The objective of ongoing research with QUT is to develop a process query language for handling process-related event log data that supports all these pre-processing operations.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

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