|
Denis Mayr Lima Martins

Problem Definition in the Digital Democracy

Tuesday, 11. January 2022 - 12:00 to 13:00, Zoom

Talk title: Problem Definition in the Digital Democracy

Speaker affiliation: Prof. Dr. Fabrizio Gilardi, Department of Political Science of the University of Zurich.

Talk abstract: How does an issue become a political problem? No issue inherently requires political responses. Instead, political actors construct arguments regarding the nature of a given problem and connect them to particular policy actions. This phenomenon, known as "problem definition," has long been recognized as a fundamental aspect of any policymaking process.  PRODIGI breaks new ground in two ways. First, it puts forward original theory and methods to study a longstanding question that has acquired new relevance in digital environments. Second, it applies the new theory and methods to an important societal challenge, namely, how politics responds to digital technology's impact on democracy.

Short bio: Fabrizio Gilardi is Professor of Policy Analysis in the Department of Political Science of the University of Zurich, and the co-founder and director of the Digital Democracy Lab. His research interests include policy diffusion, gender and politics, and digital technology and politics.

 

Read more about Problem Definition in the Digital Democracy
|
Denis Mayr Lima Martins

Reverse AD for an Array Language with Nested Parallelism

Redundant Execution: A Practical Backpropagator
Tuesday, 14. December 2021 - 12:00 to 13:00, Zoom

Title: Reverse AD for an Array Language with Nested Parallelism - Redundant Execution: A Practical Backpropagator

Speaker affiliation: Prof. Dr. Cosmin Oancea, University of Copenhagen, Denmark.

Talk abstract: Automatic differentiation (AD) is a practical way for computing derivatives of functions that are expressed as programs. AD has been recognized as one of the key pillars of the current machine learning (ML) revolution, and has key applications in other domains such as financial algorithms, computational fluid dynamics, atmospheric sciences, and engineering design optimization. This talk presents a technique for applying reverse AD on a higher-order functional array language, which allows programs to be written as a nested composition of parallel operators such as map, reduce, scan (also together with loops with in-place updates).

Short bio: Cosmin Oancea is an Associate Professor with the Department of Computer Science (DIKU), University of Copenhagen. His main research interests lie in the general field of programming language design and implementation, with focus on compiler optimizations aimed at parallel execution on highly-parallel hardware.

Read more about Reverse AD for an Array Language with Nested Parallelism
|
Denis Mayr Lima Martins

Developing and implementing contextualised Sales and Operations Planning (S&OP) designs - experiences from a PROBRAL project

Tuesday, 7. December 2021 - 12:00 to 13:00, Zoom

Talk title: Developing and implementing contextualised Sales and Operations Planning (S&OP) designs - experiences from a PROBRAL project.


Speaker affiliation: Tobias Kreuter, Ph.D. candidate at the Chair for Information Systems & Supply Chain Management, University of Münster.


Talk abstract: Tobias speaks about his recent research in relation to the PROBRAL project “Theoretical understanding and practical implementation guidance for Sales and Operations Planning (S&OP)”, which is conducted in collaboration with the Pontifical Catholic University of Rio de Janeiro and the Federal University of the State of Rio de Janeiro. In particular, the talk focuses on the development and implementation of contextualised S&OP designs. Tobias presents a novel approach for S&OP contextualisation, rooted in Enterprise Architecture Management and contingency theory.


Short Bio: Tobias is a researcher and Ph.D. candidate at the Chair for Information Systems & Supply Chain Management at the European Research Center for Information Systems (ERCIS), University of Münster. He is part of the above-mentioned PROBRAL project (http://go.wwu.de/ptp-h).

Read more about Developing and implementing contextualised Sales and Operations Planning (S&OP) designs - experiences from a PROBRAL project
|
Denis Mayr Lima Martins

RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets

Tuesday, 30. November 2021 - 12:00 to 13:00, Zoom

Talk title: RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets

Speaker affiliation: Dennis Assenmacher, Chair of Data Science: Statistics and Optimizations, University of Münster

Talk abstract: Abuse and hate are penetrating social media and many comment sections of news media companies. These platform providers invest considerable efforts to moderate user-generated contributions to prevent losing readers who get appalled by inappropriate texts.  In this talk, I elaborate on the largest annotated German abusive language comment datasets to date, published in the context of a research project between the University of Münster and one of the largest newspaper outlets in Germany, the Rheinische Post.

Short bio: Dennis Assenmacher is a computational social scientist at the GESIS Leibnitz Institute for the Social Sciences. He is part of the Data Science (DS) team at the Department of Computational Social Science (CSS). He holds an MSc. in Information Systems from the University of Münster and recently submitted his dissertation at the Chair of Data Science: Statistics and Optimizations, University of Münster.

Read more about RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets
|
Denis Mayr Lima Martins

Pathways Towards the Normalization of Digital Transformations

Tuesday, 23. November 2021 - 12:00 to 13:00, Zoom

Talk title: Pathways Towards the Normalization of Digital Transformations

Speaker affiliation: Dr. Noel Carroll, National University of Ireland Galway.

Talk abstract: Ongoing acceleration of digital transformations (DTs) poses major challenges for organizations, including needs to invest in the adoption of digital technologies, rapidly and continuously, merely to survive. However, there has been little development of theoretical developments practical guidance for evolving at the required pace, while also embedding DT in practice. To facilitate the exploration of the importance and key aspects of normalizing DTs, we adopt Normalization Process Theory (NPT) to uncover the emerging phenomena of DT.

Short bio: Dr. Noel Carroll is a lecturer at the National University of Ireland Galway. Noel is also the Associate Head of Learning, Teaching, and Assessment (LTA) within the School of Business & Economics. He is also the Programme Director for the MSc Information Systems Management (ISM) and a Lecturer in Business Information Systems.

Read more about Pathways Towards the Normalization of Digital Transformations
|
Denis Mayr Lima Martins

Ethics in AI: A Challenging Task

Tuesday, 9. November 2021 - 12:00 to 13:00, Zoom

Talk title: Ethics in AI: A Challenging Task

Speaker affiliation: Ricardo Baeza-Yates, Institute for Experiential AI, Northeastern University.

Talk abstract: In the first part we cover five current specific challenges through examples: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., biometric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias); (4) stupid models (e.g., Signal, minimal adversarial AI) and (5) indiscriminated use of computing resources (e.g., large language models). These examples do have a personal bias but set the context for the second part where we address four generic challenges: (1) too many principles (e.g., principles vs. techniques), (2) cultural differences (e.g., Christian vs. Muslim); (3) regulation (e.g., privacy, antitrust) and (4) our cognitive biases. We finish discussing what we can do to address some of these challenges in the near future.

Short bio: Ricardo Baeza-Yates is Research Professor at the Institute for Experiential AI of Northeastern University. He is also part-time professor at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Before, he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from 2006 to 2016.

Read more about Ethics in AI: A Challenging Task
|
Denis Mayr Lima Martins

Influence diffusion in social networks: modelling, prediction, and control

Tuesday, 2. November 2021 - 12:00 to 13:00, Zoom

Speaker: Dr. Doina Bucur, University of Twente, The Netherlands.

Abstract: Information (of influence) diffuses via links in a social network, and, even assuming that the network structure is relatively static, the size of an information cascade is hard to estimate well, both over a model and over a real social network. We cover models of information diffusion, then look at methods to predict ‘important’ nodes in the network, for example single nodes which would be able to influence many others single-handedly (in other words, maximise influence), or small sets of nodes which would do so in combination. The definition of node ‘importance’ changes with the case study, and may also require the node to minimise the size of the diffusion (for example in epidemics).

Read more about Influence diffusion in social networks: modelling, prediction, and control
|
Denis Mayr Lima Martins

Watch Me Get Better! – Algorithm Aversion and Demonstrating the Ability to Learn

Tuesday, 26. October 2021 - 12:00 to 13:00, Zoom

Speaker: Prof. Dr. Benedikt Berger, Department of Information Systems, the University of Münster, Germany.
 
Talk abstract: Owing to advancements in artificial intelligence (AI) and specifically in machine learning, information technology (IT) systems can support humans in an increasing number of tasks. Yet, previous research indicates that people often prefer support by a human to support by an IT system, even if the latter provides superior performance—a phenomenon called algorithm aversion. In this talk, Prof. Dr. Berger presents a study that evaluates the effectiveness of demonstrating the ability to learn of an AI-based system as a potential countermeasure against algorithm aversion in an incentive-compatible online experiment. The findings provide theoretical and practical implications for the employment and design of AI-based systems.

Read more about Watch Me Get Better! – Algorithm Aversion and Demonstrating the Ability to Learn
|
Denis Mayr Lima Martins

When do good communication models fail in global virtual teams?

Tuesday, 16. November 2021 - 17:00 to 18:00, Zoom

Speaker: Dr. Sirkka L. Jarvenpaa, The University of Texas at Austin, USA.

Abstract: Global virtual teams represent temporary work systems that are assembled for a joint task, performed by team members who collaborate primarily via digital technologies. Team members span geography and culture and often have only a narrow period of shared work hours. Within highly constrained temporal spaces, team members coordinate and collaborate on joint tasks with many task interdependencies, requiring constant back-and-forth workflows among members. Leveraging various synchronous and asynchronous virtual communication modes, the teams must communicate effectively to prevent prolonged misunderstandings and work delays. The virtual team environment is challenging because virtual space reduces opportunities for team members to grasp important aspects of the actual social surroundings of the members that are critical for understanding.

Read more about When do good communication models fail in global virtual teams?
|
Armin Stein

Augmenting the algorithm: Emerging human-in-the-loop work configurations

Tuesday, 19. October 2021 - 12:00 to 13:00, Zoom

Speaker: Prof. Dr. Margunn Aanestad, Department of Information Systems, University of Agder, Kristiansand, Norway.

Abstract: How do configurations of humans and algorithms evolve as firms adopt artificial intelligence (AI) capabilities, and what are the implications for work and organization? We explored these questions through a two-year long case study of an organization in the international maritime trade that introduced automated algorithmic support for data analysis and prediction work.

Read more about Augmenting the algorithm: Emerging human-in-the-loop work configurations