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Self-fulfilling prophecies: What causes a bank to fail?

We talk about self-fulfilling prophecies when something we have predicted comes true as a result of our conscious and unconscious actions. Jack Bryson, [a doctoral student and] university assistant in the Ada Lovelace Program, is using modeling and simulations to find out which social science phenomena can cause banks to fail.

Written by Romy Müller for the University of Klagenfurt. Illustration created using Adobe Firefly (generative AI) by Christian Bettstetter.

We encounter self-fulfilling prophecies in various areas: If a teacher believes in a particular pupil, she may unconsciously pay more attention to them, which can ultimately lead to better performance. Jack Bryson, university assistant at the Management Control and Strategic Management Unit, is investigating self-fulfilling prophecies in the banking sector. For this purpose, he asks himself: What can cause a bank to fail? “The advantage of working with modeling and simulations is that we don’t have to wait for a calamity to occur before we can investigate it empirically. We can safely simulate a reality and then test what happens when we apply different variables,” says Jack Bryson.

Banks and bank failures are complex systems. Jack Bryson explains: “A bank may be in excellent shape, but then self-fulfilling prophecies become its undoing. Suppose there is a rumor that the bank is about to collapse. Faced with this, a person withdraws their money, goes home and tells their neighbor and their tennis partner to withdraw their money as well. If a large number of people do this, the bank is in real danger,” Jack Bryson continues. The initial premise of such self-fulfilling prophecies can be completely irrational. For researchers like Jack Bryson, the goal is to describe the behavior of the many social actors and then to run simulations. But where does one start? “We must first create simple descriptions involving as few variables as possible. We can subsequently make the model increasingly sophisticated in order to capture reality as closely as possible.”

Jack Bryson’s tools stem from mathematics and statistics. When asked whether he has always enjoyed these subjects or has simply grown to like them, he explains: “It takes time to master these methods. The famous switch often only clicks when you realize that it’s not about finding the solution, but about finding the way to the solution.” Jack Bryson’s first steps on the path to science were interdisciplinary: After high school, he attended Hampden-Sydney, a liberal arts college in Virginia, where he completed a Bachelor’s degree in Mathematical Economics. The son of a single mother was supported by merit-based scholarships. The aim of this degree program was to equip students with skills in many subjects and to prepare them to go into the workplace or to pursue further university studies. Jack Bryson opted to complete a Master’s degree in Finance at the UVA McIntire School of Commerce. Bryson went on to gain professional experience as a web designer. From 2019, Jack Bryson worked two jobs: In the evenings, he coordinated and trained the staff at a restaurant in Georgetown, and during the day he worked at a bank in Arlington, where he advanced from teller to relationship banker. In both cases, Jack Bryson worked with people and both involved improving processes and introducing innovations. One particular challenge at the bank was the takeover of another bank, a process that saw him conduct training sessions with employees.

In corporate practice, Jack Bryson soon realized that: Everyday life throws up many questions and there is not enough time to find answers. Friends of friends drew his attention to the position advertised for the Ada Lovelace Program at the University of Klagenfurt: “During the challenging pandemic years, I was in the midst of complex social phenomena. Now I have the unique opportunity to describe and scientifically analyze these kinds of phenomena,” he tells us. Cultural differences also play a role here: “Behavioral assumptions are often linked to culture and social identities. Keeping this in mind helps to make the simulations more robust.”

By working with Friederike Wall (Management Control and Strategic Management) and Christian Bettstetter (Networked and Embedded Systems) Jack Bryson has two supervisors at the University of Klagenfurt who support him with their professional expertise and international networks. Starting next fall, he will also be leading a revision course for the first time, which he is particularly looking forward to, “because this is not common in doctoral positions in the USA,” and he enjoys introducing business students to mathematically complex content.

The conditions for growing as a scientist couldn’t be better, says Jack Bryson: “I have an office to myself here, but I was recently asked if I would host a visiting professor for a few days in the autumn. The person in question is Serge Galam, who has studied Trump as a socio-physical phenomenon and who is an internationally renowned scientist. That brought me great joy: What a wonderful opportunity to be sitting next to such exceptionally smart people!”

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This article was originally published on the Website of the University of Klagenfurt (June 25, 2024). Posted here with kind permission.

Samira Hayat

Hayat named “rising star” in networking and communications

The annual list Rising Stars in Computer Networking and Communications recognizes ten up-and-coming female researchers to honor their great career start. This year’s list features Samira Hayat, doctoral graduate from the University of Klagenfurt and now researcher at Lakeside Labs and founder. She is the first Austrian-based scientist to receive this award.

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Drones in cellular networks

A new project investigates the integration of unmanned aerial vehicles in 5G networks and proposes a hybrid connectivity solution with Wi-Fi. The work is led by Aymen Fakhreddine and advised by Christian Bettstetter. Funding comes from the Austrian Science Fund (FWF).

Written by Christian Bettstetter and Aymen Fakhreddine

Wireless connectivity is a fundamental component in drone systems with high demands for reliability, security, and performance. Some drone applications need to transmit huge amounts of data or require ultra-low latencies. The wireless technology used in most commercial drones is Wi-Fi, but it only partially meets the high requirements. Therefore, integrating drones into cellular networks is an exciting option, either as a replacement or supplement to Wi-Fi. A new three-year research project at the University of Klagenfurt addresses this issue. Funding was secured from the Austrian Science Fund (FWF) in the amount of about 288,000 € from the ESPRIT postdoctoral program. The work is embedded into many ongoing activities on multi-drone systems in Klagenfurt (uav.aau.at).

“The integration of drones into cellular networks has not yet reached the desired maturity. These networks were certainly not developed and deployed to be used by flying devices. There are multiple problems related to interference and handovers,” project leader Aymen Fakhreddine explains. Along these lines, the goal is “to ensure that, when connected to cellular networks, drones support data transmissions at very high data rates in the uplink, while the downlink connectivity remains highly reliable for remote control and steering.” This integration of aerial users into cellular networks should not impair ground users for which cellular networks were primarily deployed.

A particular project focus is on enabling beyond visual line of sight drone operations. Drone manoeuvres are to be controlled in real time by means of command data sent via 5G from a processing entity or a human operator that receives a video stream from the drone itself. Another key objective is investigating drone-to-drone communication for applications that require multi-drone systems. This communication can be performed through the cellular network or by bypassing the ground infrastructure via direct communication technologies such as Wi-Fi. Both approaches differ in terms of the provided coverage area, adaptability, security, reliability, and support of real-time functions. The project will discuss the applicability domains of each approach to design a hybrid use of both by proposing a mechanism that opportunistically chooses the suitable wireless technology in concordance with drone mission planning requirements.

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This post is based on the public relations (PR) abstract of the project proposal. Funding is received from the Austrian Science Fund (FWF), grant ESP 54 ESPRIT program. Feature image from Google Maps, modified with the locations of base stations and a drone flight route.

Teams of robots that don’t run out of energy

Let’s imagine a large region affected by an earthquake that needs to be combed for missing persons. Because buildings remain at risk of collapsing, this is a task that is particularly well-suited to robots. Micha Sende addressed this kind of scenario in his doctoral thesis.

Written by Romy Müller for the University of Klagenfurt. Feature photo by Romy Müller.

“What is special about this is that all the robots have the same role, in other words, no-one acts as coordinator,” Micha Sende explains. His research focuses on energy autonomy, asking questions such as: How much energy do I have left? How much energy do I still need to complete a specific task? How long can I continue to work, and when do I need to recharge? Which charging station should I head for, and which one is free at the moment?

When asked what makes this task rather complex, Micha Sende answers: “A robotic lawnmower or a robotic vacuum cleaner have a comparatively easy job. They know the territory and they usually work alone, not in a team.” Moreover, they do not have to work in an optimised way, i.e. a few extra laps around the living room are usually quite acceptable. But when it comes to searching for missing persons, it is essential that the robots work as quickly and efficiently as possible and that no breakdowns occur.

Above all, the scenario involving several robots and several charging stations had not yet been extensively researched, Micha Sende continues. At this point he also mentions electric cars: Here too, relatively little research has been undertaken to date.

Micha Sende has recently completed his doctorate. Most of the work was carried out at the computer using simulations; towards the end, the scenarios were also tested using real robots. Micha Sende is currently working as a member of the research team at the neighboring Lakeside Labs GmbH.

Micha Sende first came to Villach as part of his industrial internship for his diploma degree and later he landed a doctoral position in Christian Bettstetter’s research group at the Institute of Networked and Embedded Systems. “Self-organizing systems appeared especially captivating, which is why I focused on this area,” he tells us. He describes their advantage: “By relying on self-organization, we can build fully functional systems that can no longer be controlled from the outside due to their complexity.”

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This article was originally published on the Website of the University of Klagenfurt (October 6, 2021). Posted here with kind permission.

Offloading computation to 5G networks: Helping drones to improve their autonomous navigation

Commercial drones usually come equipped with modest on-board computing power. Consequently, their speed and agility are somewhat limited when they use their cameras like eyes to navigate in space. Samira Hayat, a researcher at the Department of Information Technology, recently joined forces with colleagues from other departments and Deutsche Telekom to investigate the effects of offloading computation to the edge of the network (edge computing).

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