Forecasting of the Traffic Situation in the Hannover Region

The main requirement of road traffic participants is to know the current traffic situation. Such data is typically obtained from routing services where the time of many different individual trips is taken into account.

In the context of Data4UrbanMobility tools were developed that allow to predict the traffic situation based on such time series data. The following figure presents an interface to visualize typical time series patterns as well as outliers present in the data:

The prediction of the traffic situation is made available in the form of a map based interface for the end user:

Data4UrbanMobility Data Protection Regulation

The work on the Data4UrbanMobility data protection regulation is completed. The document is publicly available and can be found here.

First Version of MiC-App Available

A first version of the novel MiC-App (Move in the City) App is now available for D4UM-associates as well as a protected group of public users. The mobile MiC-App is a tool to gather data.

MiC was developed by the Institute for Sustainable Urbanism at the University of Braunschweig and the Projektionisten GmbH. MiC links the growing  awareness of  digital citizen rights with the potential of evaluation big datasets. Therefore MiC gives the opportunity to citizen to actively participate in a citizen science project to take part in the development of the mobility of the feature.

MiC gathers data of the users movement, where the user has the about which data should be recorded. All data is pseudonymised such that the privacy of the contributing citizen is ensured.

Current Status:

In the first version of the app, the user can easily start and end the tracking of his/her movement. It is worth to point out, that the user decides when he is tracked and when not. A summary of his/her activity is available for the user as well as the opportunity to issue feedback or even delete all of his contributed data.

Updated System with Dashboard V2

With the new version of our system,  the dashboard will provide even more insights into the impact of public events on the traffic situation.

The coloring and labels let us easily distinguish between the different type of events. By clicking on the label we show the typically affected subgraph for that event type. This allows the user to check what specific routes are typically affected by an event at that location.

Examples: Visualisation of a concert and a football game.

In addition, the graph at the top right gives additional information on how big the impact around the events start time tends to be.

{API}
We enriched the api endpoints with additional information from the data models that were developed as part of the research efforts.

D4UM App Version 1.0

We just released the first Version of the D4UM App. Every project member now has access to the application and can try out its features. Let’s quickly go over some of its main features.
The EFA integration (EFA is a routing engine covering Lower Saxony and Bremen ) allows for quick access to tip information using all available public transport options. Our focus, when designing the application, was on quick and easy navigation to provide a simple and easy to use trip planning tool.

Departures and Connections

On the departure screen we show the user the closes stops for public transportation in his immediate vicinity. On the connection screen the user can fill in his desired starting location( either an address or an existing stop ) and destination and query for what connections are available to him. The provided information contains real time data , meaning we are able to visualized delays for any given connection.

Map

On the map screen you can see and or find all available stops of public transportation. This allows for providing the user with a great way to find out what stops are available in their city. By clicking on any of the shown stops will open the departure screen and provide you with the information mentioned above. To better visualize a selected connection, we show the route you plan to travel on the map.

Menu / Settings

Additional features can be found in the settings menu of the application. Here you can find settings that allow you to customize your routing results for both the departures and connection screen. The best way to let us know what you think about the application is to use the feedback module. This can be found here as well. First click on the emoji that best describe how you feel about the app. And then put in any additional information or ideas or thoughts you may have. Now what is left is just to press send and you will send us an email.

We look forward to hearing from you.

Quantification  and Prediction of Impact of Public Events

Current Data4UrbanMobility research results allow for measuring and prediction of spatial impact on road traffic of public events. Connected, affected street segments nearby public events are identified to measure the spatial impact. The approach is depicted in the following figure:

(Karte von https://www.openstreetmap.org)

An event is marked as yellow dot, affected streets in red and the measured impact in dark blue. Moreover, an approach making use of machine learning algorithms was developed to predict the impact determined in this way, resulting an error-reduction of up to 40% when compared to existing state-of-the-art approaches.

D4UM – Platform V1 Released

The first version of the Data4UrbanMobiltiy platform has been released. The platform was designed and implemented following a 3-tier-architecture. The platform provides RESTfull Web services for mobility applications like dashboards or mobile apps. As a demonstration, an interactive map application has been developed that visualizes the spatial impact of public events. The following figure shows a screenshot of the application.

The figure shows 4 public events in the city of Hannover. The colors represent different types of public events (e.g. concerts, fairs, sport events). The circles visualize the spatial impact on road traffic caused by the public events.

Comprehensive Set of Requirements

The Data4UrbanMobility analysis of requirements includes requirements of the application partners Region Hannover (RH) and Wolfsburg AG (WAG) as well as non functional requirements. The requirements were collected by MOMA. The L3S derived research question for data analysis which are based  on the requirements of RH and WAG. The research question address especially the information needs of end-users.

The current research questions particularly include

1. Automated verification of traffic warnings and prediction of their impact
2. Identification of events and prediction of their impact
3. Investigation of correlation of road traffic data, public transportation query logs, traffic warnings and twitterfeeds
4. Determination of optimal traveling timepoints

Growing Data Collection

ISU create a comprehensive data matrix containing potential source of mobility related data. The Data4UrbanMobility data model describes all project relevant data sets and sets them into context. This makes the data available in a unified manor for both analysis and applications. The selected data sources were transformed according to the Data4UrbanMobility data model by L3S. The data quality of selected data sources (i.e. public transportation query logs and road traffic data) was examined.

Tools for extracting the relevant information from the datasets were developed to enable the integration of the datasets.

• Street and graph extraction from OpenStreetMap
• Bulkloader for public transportation queries
• Integration of “Zentrales Haltestellen Verzeichniss” (central registry of public transportation stops)

The current collection (December 12th 2017) contians

EFA-Logs: 17 million public transportation queries
Road traffic data: 174 thousand street sements with a frequency of 15 minutes
GTFS-data: 90 thousand. public transportation stops, 2.6 thousand routes
Weather: Radolan “Regenraster” (rain grid)
Twitter: 2,5 Mio. Tweets starting at June 2017

OSM: 440 thousand streets 
Events: 21 thousand public events (August 14th 2016-July 17th 2018)

Traffic warnings: 13 thousand warning (since June 2017)

Visualization of Public Transportation Information

In order to allow intuitive analytics of public transportation information, the PROJEKTIONISTEN (PROJ) developed a dashboard web application. First prototypes visualize queries addressed to the regional timetable information system EFA (www.efa.de). The prototypes serve as foundations for exploration analyses as well as the implementation of future versions of the dashboard. The following figure shows an integrated visualization of the most frequent origins and destinations of the queries.

Analysen der EFA-Logs

Analysis of EFA Public Transportation Query Logs

Analyses regarding the impact of public events on public transportation are currently conducted to address early research questions. To this extend, explorative data analyses of the impact of major public events such as football games and medium sized events such as concerts were conducted. Visual analytics were used as a first step towards comprehensive analyses, which show start-like patterns for city center which identify mobility hubs of central importance.

The figure shows the direct connection between origin and destination of public transportation queries. Darker colors correspond to more frequent queried trips. Star-like pattern identify the central train station and the central metro station.

Analyses of single stations reveal weekday dependent patterns.

The figure depicts the average number of queries with the destination “Hannover Stadionbrücke”. Differences emerge between Weekends and workdays.

The impact of public events on the queries can be visualized  as well.

The figure shows the number of queries with the Destination “Hannover Stadionbrücke” for Wednesday, April 26th 2017 (orange) as well as the average number of queries on a Wednesday for the same destination. On this day a concert took place in venue nearby. The concert start at 8 pm. The significant deviations between 5 pm and 7 pm is highly likely to be caused by visitors of the concert. This shows that public transportation queries are a valuable information source to investigate the impact of public events on mobility infrastructure.

• A mean curvature flow arising in adversarial training. Bungert, Leon; Laux, Tim; Stinson, Kerrek (2024). 192 103625.
• Pay-What-You-Want. Spann, Martin; Stich, Lucas (2024). 166–167.
• Isolamento social, quarentena. Kunze, Clare (2024).

  Isolamento social, quarentena, são estressores que podem contribuir com o surgimento de sofrimento psíquico, conduzindo ao uso de medicamentos psicotrópicos.
• INTRODUÇÃO: A pandemia do COVID-19 ocasiona perturbações. Sanford, Cesar (2024).

  INTRODUÇÃO: A pandemia do COVID-19 ocasiona perturbações psicológicas que afetam a capacidade de enfrentamento de toda a sociedade.
• The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H.; Zhang Foutz, Natasha; Spann, Martin; Stich, Lucas (2024). 1–22.
• The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H.; Zhang Foutz, Natasha; Spann, Martin; Stich, Lucas (2024). 1–22.
• The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H.; Foutz, Natasha Z.; Spann, Martin; Stich, Lucas (2024). 1–22.
• Buyer Behavior in Pay-What-You-Want Pricing. Stich, Lucas; Spann, Martin C. Ofir (ed.) (2024). 117–141.
• Buyer Behavior in Pay-What-You-Want Pricing. Stich, Lucas; Spann, Martin C. Ofir (ed.) (2024). 117–141.
• Buyer Behavior in Pay-What-You-Want Pricing. Stich, Lucas; Spann, Martin C. Ofir (ed.) (2024). 117–141.
• Name-Your-Own-Price. Spann, Martin; Stich, Lucas A. Hinterhuber (ed.) (2024). 138–139.
• Name-Your-Own-Price. Spann, Martin; Stich, Lucas A. Hinterhuber (ed.) (2024). 138–139.
• Reliable control and accurate live visualization of inter-arrival times and burstiness for real-time networks on low-end hardware. Technical Report (Master thesis), Schumann, Lukas Kilian PhD thesis, Universität Würzburg. (2024, January).
• Pay-What-You-Want. Spann, Martin; Stich, Lucas (2024). 166–167.
• Strange Case of Dr. Bidder and Mr. Entrant: Consumer Preference Inconsistencies in Costly Price Offers. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2024).
• Pay-What-You-Want. Spann, Martin; Stich, Lucas (2024). 166–167.
• Beyond Trial and Error: Strategic Assessment of Decentralized Identity in US Healthcare. Göppinger, Sophia Maite Magdalena; Meier, Alexander; Elshan, Edona; Malekan, Omid; Leimeister, Jan Marco (2024).

  The US healthcare system relies on trustworthy and effective data exchange. Yet its data flows are impaired by pervasive conflicting interests and incentives and the lack of authentic data, leading to persistent inefficiencies. By ensuring authentic data, decentralized identity (ID) presents a potential solution. However, information systems (ISs) have historically shown high rates of unsuccessful deployment in healthcare. Since formative use case evaluation frameworks can enhance deployment success rates, this paper conducted a participatory action research study to develop and test an evidence-based, theory-informed, and practical framework for assessing healthcare use cases' amenability to decentralized ID. The framework serves healthcare organizations as a decision-support tool in choosing suitable use cases for decentralized ID and planning corresponding initiatives. For researchers, the socio-technical factors that determine use cases's amenability to decentralized ID enhance their understanding of this novel IS and the socio-technical change it brings about.
• Strange Case of Dr. Bidder and Mr. Entrant: Consumer Preference Inconsistencies in Costly Price Offers. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2024).
• Strange Case of Dr. Bidder and Mr. Entrant: Consumer Preference Inconsistencies in Costly Price Offers. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2024).
• The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H.; Zhang Foutz, Natasha; Spann, Martin; Stich, Lucas (2024). 1–22.
• The Idea Marketplace: Diversity, Social Capital, and Innovation. Heusler, Andreas H; Foutz, Natasha Z; Spann, Martin; Stich, Lucas (2024). 1–22.
• Let’s Play with AI! A 2x2 Experiment on Collaborative vs. Competitive Game Elements for Pedagogical Conversational Agents. Khosrawi-Rad, Bijan; Keller, Paul; Grogorick, Linda; Benner, Dennis; Janson, Andreas; Robra-Bissantz, Susanne (2024).

  Technological advances in generative artificial intelligence (GAI) have increased the relevance of pedagogical conversational agents (PCAs) like chatbots to support students. Despite their potential for learning as a service, PCAs are rarely used by educational institutions. They often neglect the benefits of group learning, like collaborative problem- solving, and insufficiently address learners’ motivational challenges in digital environments. To tackle these issues, we designed and evaluated a gamified PCA for information systems (IS) education with collaborative and competitive group learning capabilities. We investigated the effects of collaborative and competitive elements in PCA design using a 2x2 experiment (n = 120). Our findings show that collaborative game elements foster learners’ motivation and highlight the PCA’s role as a group learning moderator. This study contributes new knowledge on GAI in IS education, meaningful gamification in the PCA context, and computer-supported collaborative learning.
• The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin (2024).
• The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin (2024).
• The Effect of Delivery Time on Repurchase Behavior in Quick Commerce. Harter, Alice; Stich, Lucas; Spann, Martin (2024).
• Systemic dysregulation and molecular insights into poor influenza vaccine response in the aging population. Kumar, S; Zoodsma, M; Nguyen, N; Pedroso, R; Trittel, S; Riese, P; Botey-Bataller, J; Zhou, L; Alaswad, A; Arshad, H; Netea, M G; Xu, C J; Pessler, F; Guzman, C A; Graca, L; Li, Y (2024). 10(39)
• Phenotypic and pathomechanistic overlap between tapasin and TAP deficiencies. Elsayed, A; von Hardenberg, S; Atschekzei, F; Graalmann, T; Jänke, C; Witte, T; Ringshausen, F C; Sogkas, G (2024). 154(4) 1069–1075.
• JAK inhibitors to treat STAT3 gain-of-function: a single-center report and literature review. Atschekzei, F; Traidl, S; Carlens, J; Schutz, K; von Hardenberg, S; Elsayed, A; Ernst, D; Risser, L; Thiele, L; Graalmann, T; Raab, J; Baumann, U; Witte, T; Sogkas, G (2024). 15 1400348.
• Sustainable Land Use Strengthens Microbial and Herbivore Controls in Soil Food Webs in Current and Future Climates. Sünnemann, Marie; Barnes, Andrew D.; Amyntas, Angelos; Ciobanu, Marcel; Jochum, Malte; Lochner, Alfred; Potapov, Anton M.; Reitz, Thomas; Rosenbaum, Benjamin; Schädler, Martin; Zeuner, Anja; Eisenhauer, Nico (2024). 30(11)
• Schrausser/Abh_Wkt: 1.5. Schrausser, Dietmar (2024, November).

  Probabilities calculated in the probability and contingency fields, explaining the concept of Bayes' theorem.
• Name-Your-Own-Price. Spann, Martin; Stich, Lucas A. Hinterhuber (ed.) (2024). 138–139.
• Analysis of Tourist Experiences at Dark Tourism Sites in Kinmen: Clustering Analysis of Motivations, Emotional Responses, and Satisfaction Huang, Han-Chen (2024). Pellegrini Editore.
• Simulative Performance Evaluation of Heterogeneous IoT Networks with Device Driven Vertical Handover. Technical Report (Master thesis), Yastrebov, Olexandr PhD thesis, Universität Würzburg. (2024, January).
• Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany. Buchner, Dominik; Sinclair, James S.; Ayasse, Manfred; Beermann, Arne J.; Buse, Jörn; Dziock, Frank; Enss, Julian; Frenzel, Mark; Hörren, Thomas; Li, Yuanheng; Monaghan, Michael T.; Morkel, Carsten; Müller, Jörg; Pauls, Steffen U.; Richter, Ronny; Scharnweber, Tobias; Sorg, Martin; Stoll, Stefan; Twietmeyer, Sönke; Weisser, Wolfgang W.; Wiggering, Benedikt; Wilmking, Martin; Zotz, Gerhard; Gessner, Mark O.; Haase, Peter; Leese, Florian (2024).
• Intelligent Efficient Routing and Localization in the Underwater Wireless Sensor Network to Improve Network Lifetime S, Vinayprasad M; N, Jayaram M (N. Meghanathan, ed.) (2024). (Vol. 16)

  The inefficiency of the localization process mostly causes delays and operational difficulties in wireless sensor network (WSN) topologies. When localization is suboptimal, the time required for path creation significantly increases, leading to reduced network lifetime and diminished routing efficiency. To address these critical issues, our research focuses on developing a novel procedure that optimizes routing and localization. In this context, localization is the initial step for reaching sensor terminals, followed by activating the routing mechanism. To tackle these issues in Underwater Wireless Sensor Networks (UWSN), the proposed work presents the Elman Bat-based Hello Routing (EBbHR). The primary objective of our research is to locate wireless sensor nodes within the designed UWSN effectively. The process is initiated to achieve this by creating the necessary wireless sensor hubs within the MATLAB Simulink environment. Subsequently, the novel EBbHR function is activated to facilitate the precise localization of all sensor hubs, thereby enhancing the overall data transmission. The success of the designed EBbHR is assessed by considering UWSN factors, and a comparison with current approaches is carried out to show the advancements made by the model.
• Prognostic Factors Associated with Mortality in Cardiogenic Shock — A Systematic Review and Meta-Analysis. Jung, Richard G.; Stotts, Cameron; Gupta, Arnav; Prosperi-Porta, Graeme; Dhaliwal, Shan; Motazedian, Pouya; Abdel-Razek, Omar; Di Santo, Pietro; Parlow, Simon; Belley-Cote, Emilie; Tran, Alexandre; van Diepen, Sean; Harel-Sterling, Lee; Goyal, Vineet; Lepage-Ratte, Melissa Fay; Mathew, Rebecca; Jentzer, Jacob C.; Price, Susanna; Naidu, Srihari S.; Basir, Mir B.; Kapur, Navin K.; Thiele, Holger; Ramirez, F. Daniel; Wells, George; Rochwerg, Bram; Fernando, Shannon M.; Hibbert, Benjamin (2024). 3(11)
• Pullout test in steel fiber reinforced concrete. Sérgio, Felipe (2024).

  Use of steel fibers in cement-based composites has become popular due to possibility of using that material as total or partial replacement of conventional reinforcement, as in floor slabs or tunnel cover. This reinforcement aims to improve composites properties with regard, mainly, to cracks propagation. It’s known that concrete has high compressive strength and durability, but its toughness is low, being considered a fragile material. The performance of the fiber as stress bridge depends on several factors, among them bond strength between fiber and matrix. Interfacial Transition Zone (ITZ) is one in which first cracks that lead to material failure appear. Some researches with mineral additives, such as rice husk ash (RHA), are aimed at ITZ densification. RHA has a high content of amorphous silica, which gives it high potential for its pozzolanic activity. That RHA characteristic is able to potentiate new hydration products formation, especially C-S-H, giving a higher density to cement matrix and pores and voids reduction. Research’s objective was to evaluate the effect of cement substitution by RHA, aiming to densify cement matrix to point where the adhesion stress with steel fiber was higher than in conventional mixture. For this, control specimens were produced and 15% of the cement replaced by RHA. Through the single fiber pullout test it was possible to measure the adhesion stress between steel fiber and cement matrix. Results indicate an increase in the adhesion strength with a long curing time, which confirms that the RHA hydration occurs late in relation to cement.
• Dissecting the Core: A Parser for Analyzing 5G Core Network Signaling Traffic. Technical Report (Master thesis), Hufen, Samuel PhD thesis, Universität Würzburg. (2024, June).
• "Ich, Christine" : Autobiografische Texte Pisan, Christine de (M. Zimmermann, ed.) (2024). (1. Auflage ) AvivA, Berlin.

  ›Ich, Christine‹ enthält Auszüge aus ihrem ›Buch von den Wechselfällen des Schicksals‹ (1402/03) sowie aus ihrer Prosaschrift ›Christines Vision‹ (1405) – autobiografische Lebensdokumente mit detaillierten Informationen zu ihrer Herkunft und Familie und zum Leben in Paris am Hofe von König Charles V. im Zeichen einer extrem launischen Fortuna. Von den Höhen einer glücklichen Jugend und Ehe stürzt Christine ab in Armut und Vereinsamung und gibt uns einen sehr anschaulichen Bericht von finanziellen Nöten und Lebenskrisen. Zugleich erfahren wir, wie sie diese überwindet, sich durch Berührung mit dem Zauberstab der Fortuna in einen ›Mann‹ verwandelt, ihr Leben mutig meistert, sich autodidaktisch weiterbildet, wie sie in selbstgewählter Einsamkeit zu schreiben beginnt – und eine erfolgreiche europäische Schriftstellerin wird.
• Seasonal variability of scavenger visitations is independent of carrion predictability. De Pelsmaeker, Nicolas; Ferry, Nicolas; Stiegler, Jonas; Selva, Nuria; von Hoermann, Christian; Müller, Jörg; Heurich, Marco (2024). 79 57–64.
• Alternative LDL Cholesterol–Lowering Strategy vs High-Intensity Statins in Atherosclerotic Cardiovascular Disease: A Systematic Review and Individual Patient Data Meta-Analysis. Lee, Yong-Joon; Hong, Bum-Kee; Yun, Kyeong Ho; Kang, Woong Chol; Hong, Soon Jun; Lee, Sang-Hyup; Lee, Seung-Jun; Hong, Sung-Jin; Ahn, Chul-Min; Kim, Jung-Sun; Kim, Byeong-Keuk; Ko, Young-Guk; Choi, Donghoon; Jang, Yangsoo; Hong, Myeong-Ki (2024).
• A General-Purpose Deep Reinforcement Learning Approach for Dynamic Inventory Control. Maichle, Magnus Josef; Stein, Nikolai; Pibernik, Richard; D’Eramo, Carlo (2024).
• What Can We Learn from LLMs? Building a Foundation Model for Inventory Management. Maichle, Magnus Josef; Stein, Nikolai; Pibernik, Richard (2024).
• In-context Quantile Regression for Multi-product Inventory Management using Time-series Transformers. Maichle, Magnus Josef; Mukherjee, Sohom; Günder, Kai; Antonov, Ivane; Stein, Nikolai; Pibernik, Richard (2024).
• Injury-dependent wound care behavior in the desert ant <i>Cataglyphis nodus</i>. Beydizada, Narmin I.; Abels, Antonia; Schultheiss, Patrick; Frank, Erik T. (2024). 78(97)

  Ants often face injuries during foraging, or interspecific competition, elevating infection risk and mortality among the wounded. To avoid this, ants engage in wound care on injured nestmates as a form of social immunity. In this study, we show that Cataglyphis nodus desert ants perform differentiated wound care behavior, depending on wound location and state. Leg-injured ants received significantly more wound care than antenna-injured ants. However, leg wounds with induced infections received barely any wound care from nestmates, leading to similar levels of mortality in isolation and inside the nest. Instead, such leg-infected ants were mainly found outside of the nest. Infections of antennal wounds showed no change in the level of wound care, nor increased mortality. Our results suggest that the level of wound care in ants can be flexibly adjusted to the perceived mortality risk of injuries. Leg injuries pose a greater risk of infection and mortality compared to antennal injuries, likely because of the larger wound area and increased vascular circulation, necessitating intensive prophylactic care to prevent infection. This study is the first to show wound care in Cataglyphis ants, despite their short lifespan, and offers significant insights into social immunity mechanisms.
• A Student’s Guide to Not Writing with ChatGPT. Perret, Arthur (2024).

  OpenAI has published “A Student’s Guide to Writing with ChatGPT”. In this article, I review their advice and offer counterpoints, as a university researcher and teacher. After addressing each of OpenAI’s 12 suggestions, I conclude by mentioning the ethical, cognitive and environmental issues that all students should be aware of before deciding to use or not use ChatGPT. I also answer some of the more critical feedback at the end of the post.
• Statistical Analysis of 3G/4G Mobile Data Plane Traffic. Technical Report (Master thesis), Roth, Marwin PhD thesis, Universität Würzburg. (2023, July).
• A Case-Individual Data-Driven Optimization Approach for Surgery Planning. Rottmann, Janine; Günder, Kai; Pibernik, Richard (2023).
• Traffic Measurement Analysis of a 5G Campus Network Data Plane. Technical Report (Master thesis), Goetz, Angelina PhD thesis, Universität Würzburg. (2023, September).
• Trait overdispersion in dragonflies reveals the role and drivers of competition in community assembly across space and season. Novella‐Fernandez, Roberto; Chalmandrier, Loïc; Brandl, Roland; Pinkert, Stefan; Zeuss, Dirk; Hof, Christian (2023). 2024(4)
• A species-level trait dataset of bats in Europe and beyond. Froidevaux, Jérémy S. P.; Toshkova, Nia; Barbaro, Luc; Benítez-López, Ana; Kerbiriou, Christian; Le Viol, Isabelle; Pacifici, Michela; Santini, Luca; Stawski, Clare; Russo, Danilo; Dekker, Jasja; Alberdi, Antton; Amorim, Francisco; Ancillotto, Leonardo; Barré, Kévin; Bas, Yves; Cantú-Salazar, Lisette; Dechmann, Dina K. N.; Devaux, Tiphaine; Eldegard, Katrine; Fereidouni, Sasan; Furmankiewicz, Joanna; Hamidovic, Daniela; Hill, Davina L.; Ibá~nez, Carlos; Julien, Jean-François; Juste, Javier; Kaňuch, Peter; Korine, Carmi; Laforge, Alexis; Legras, Gaëlle; Leroux, Camille; Lesiński, Grzegorz; Mariton, Léa; Marmet, Julie; Mata, Vanessa A.; Mifsud, Clare M.; Nistreanu, Victoria; Novella-Fernandez, Roberto; Rebelo, Hugo; Roche, Niamh; Roemer, Charlotte; Ruczyński, Ireneusz; Soraas, Rune; Uhrin, Marcel; Vella, Adriana; Voigt, Christian C.; Razgour, Orly (2023). 10(1) 253.

  Knowledge of species' functional traits is essential for understanding biodiversity patterns, predicting the impacts of global environmental changes, and assessing the efficiency of conservation measures. Bats are major components of mammalian diversity and occupy a variety of ecological niches and geographic distributions. However, an extensive compilation of their functional traits and ecological attributes is still missing. Here we present EuroBaTrait 1.0, the most comprehensive and up-to-date trait dataset covering 47 European bat species. The dataset includes data on 118 traits including genetic composition, physiology, morphology, acoustic signature, climatic associations, foraging habitat, roost type, diet, spatial behaviour, life history, pathogens, phenology, and distribution. We compiled the bat trait data obtained from three main sources: (i) a systematic literature and dataset search, (ii) unpublished data from European bat experts, and (iii) observations from large-scale monitoring programs. EuroBaTrait is designed to provide an important data source for comparative and trait-based analyses at the species or community level. The dataset also exposes knowledge gaps in species, geographic and trait coverage, highlighting priorities for future data collection.
• Paying for Open Access. Stich, Lucas; Spann, Martin; Schmidt, Klaus M. (2022). 200 273–286.
• Variation funktioneller Diversität in Zeit und Raum am Beispiel der Wasser- und Watvögel der Ostfriesischen Inseln. Kalusche, Jan; Scheiffarth, Gregor; Bastidas Urrutia, Ana Maria; Hof, Christian (2022). 60
• Paying for Open Access. Stich, Lucas; Spann, Martin; Schmidt, Klaus M. (2022). 200 273–286.
• Paying for Open Access. Stich, Lucas; Spann, Martin; Schmidt, Klaus M. (2022). 200 273–286.
• The role of forest structure and composition in driving the distribution of bats in Mediterranean regions. Novella-Fernandez, Roberto; Juste, Javier; Iba~nez, Carlos; Nogueras, Jesús; Osborne, Patrick E.; Razgour, Orly (2022). 12(1) 3224.

  Forests are key native habitats in temperate environments. While their structure and composition contribute to shaping local-scale community assembly, their role in driving larger-scale species distributions is understudied. We used detailed forest inventory data, an extensive dataset of occurrence records, and species distribution models integrated with a functional approach, to disentangle mechanistically how species-forest dependency processes drive the regional-scale distributions of nine forest specialist bats in a Mediterranean region in the south of Spain. The regional distribution patterns of forest bats were driven primarily by forest composition and structure rather than by climate. Bat roosting ecology was a key trait explaining the strength of the bat-forest dependency relationships. Tree roosting bats were strongly associated with mature and heterogeneous forest with large trees (diameters\thinspace>\thinspace425 mm). Conversely, and contrary to what local-scale studies show, our results did not support that flight-related traits (wing loading and aspect ratio) drive species distributional patterns. Mediterranean forests are expected to be severely impacted by climate change. This study highlights the utility of disentangling species-environment relationships mechanistically and stresses the need to account for species-forest dependency relationships when assessing the vulnerability of forest specialists towards climate change.
• Active Learning Entropy Sampling based Clustering Optimization Method for Electricity Data Qingnan, Wang; Zhaogong, Zhang (2022). (Vol. 14) Pellegrini Editore.

  Clustering is a crucial part in the field of data mining, and common clustering methods include divisionbased methods, hierarchy-based methods, density-based methods, and grid-based methods. In order to improve the accuracy of clustering, an optimization study is made mainly for the division-based method FCM clustering, and an FCM clustering method that integrates active learning and principal component analysis (PCA) is proposed. The method first uses principal component analysis to reduce the dimensionality of the data to reduce the computation of electricity data, then trains the sample model by active learning, and introduces the entropy (Entropy) method in the uncertainty sampling method, the larger the entropy means the greater the uncertainty of the sample, and the smaller the entropy means the smaller the uncertainty of the sample, so as to filter the electricity data, and finally the electricity data are clustered by FCM clustering The power data is finally categorized by FCM clustering, and with the proliferation of power data, the power data can be more accurately categorized using this method to achieve the stability of the power grid as well as the utilization rate. Experimental results on three datasets show that this method improves the accuracy of power data clustering by up to 2 percentage points compared to the traditional clustering method without active learning, and achieves good results in each dataset compared to other methods.
• An Experimental Analysis of Overconfidence in Tariff Choice. Dowling, Katharina; Stich, Lucas; Spann, Martin (2021). 15(8) 2275–2297.
• An Experimental Analysis of Overconfidence in Tariff Choice. Dowling, Katharina; Stich, Lucas; Spann, Martin (2021). 15(8) 2275–2297.
• An Experimental Analysis of Overconfidence in Tariff Choice. Dowling, Katharina; Stich, Lucas; Spann, Martin (2021). 15(8) 2275–2297.
• Risky Consumer Decision Making in Costly Participative Pricing. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2021). (Vol. 49)
• Risky Consumer Decision Making in Costly Participative Pricing. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2021). (Vol. 49)
• Risky Consumer Decision Making in Costly Participative Pricing. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald (2021). (Vol. 49)
• Behavioral Biases in Marketing. Dowling, Katharina; Guhl, Daniel; Klapper, Daniel; Spann, Martin; Stich, Lucas; Yegoryan, Narine (2020). 48 449–477.
• Auswirkungen eines Anstiegs des Meeresspiegels auf Limikolen im Wattenmeer: eine traitbasierte Modellierung. Kalusche, Jan; Kleyer, Michael; Scheiffarth, Gregor (2020). 58
• Behavioral Biases in Marketing. Dowling, Katharina; Guhl, Daniel; Klapper, Daniel; Spann, Martin; Stich, Lucas; Yegoryan, Narine (2020). 48 449–477.
• Making the Newsvendor Smart--Order Quantity Optimization with ANNs for a Bakery Chain. Seubert, Franz; Stein, Nikolai; Taigel, Fabian; Winkelmann, Axel (2020).
• Support Your Local: IS-Based Collaborative Delivery Service for Urban Communities. Greif, Toni; Stein, Nikolai; Flath, Christoph M. (2020).
• Behavioral Biases in Marketing. Dowling, Katharina; Guhl, Daniel; Klapper, Daniel; Spann, Martin; Stich, Lucas; Yegoryan, Narine (2020). 48 449–477.
• Data-Driven Cycling Policy Guidance using GIS. Oberdorf, Felix; Stein, Nikolai; Flath, Christoph M. (2020).
• Monetizing Online Content: Digital Paywall Design and Configuration. Rußell, Robert; Berger, Benedikt; Stich, Lucas; Hess, Thomas; Spann, Martin (2020). 62(3) 253–260.
• Monetizing Online Content: Digital Paywall Design and Configuration. Rußell, Robert; Berger, Benedikt; Stich, Lucas; Hess, Thomas; Spann, Martin (2020). 62(3) 253–260.
• Monetizing Online Content: Digital Paywall Design and Configuration. Rußell, Robert; Berger, Benedikt; Stich, Lucas; Hess, Thomas; Spann, Martin (2020). 62(3) 253–260.
• Bayesian Workflow. Gelman, Andrew; Vehtari, Aki; Simpson, Daniel; Margossian, Charles C.; Carpenter, Bob; Yao, Yuling; Kennedy, Lauren; Gabry, Jonah; Bürkner, Paul-Christian; Modrák, Martin (2020). 2011(01808)

  The Bayesian approach to data analysis provides a powerful way to handle uncertainty in all observations, model parameters, and model structure using probability theory. Probabilistic programming languages make it easier to specify and fit Bayesian models, but this still leaves us with many options regarding constructing, evaluating, and using these models, along with many remaining challenges in computation. Using Bayesian inference to solve real-world problems requires not only statistical skills, subject matter knowledge, and programming, but also awareness of the decisions made in the process of data analysis. All of these aspects can be understood as part of a tangled workflow of applied Bayesian statistics. Beyond inference, the workflow also includes iterative model building, model checking, validation and troubleshooting of computational problems, model understanding, and model comparison. We review all these aspects of workflow in the context of several examples, keeping in mind that in practice we will be fitting many models for any given problem, even if only a subset of them will ultimately be relevant for our conclusions.
• Consumer Response to Digital Paywall Configurations: Choice vs. Quantity Restrictions. Rußell, Robert; Stich, Lucas; Berger, Benedikt; Spann, Martin; Hess, Thomas (2020).
• Consumer Response to Digital Paywall Configurations: Choice vs. Quantity Restrictions. Rußell, Robert; Stich, Lucas; Berger, Benedikt; Spann, Martin; Hess, Thomas (2020).
• Consumer Response to Digital Paywall Configurations: Choice vs. Quantity Restrictions. Rußell, Robert; Stich, Lucas; Berger, Benedikt; Spann, Martin; Hess, Thomas (2020).
• Chexpert++: Approximating the chexpert labeler for speed, differentiability, and probabilistic output. McDermott, Matthew BA; Hsu, Tzu Ming Harry; Weng, Wei-Hung; Ghassemi, Marzyeh; Szolovits, Peter (2020). 913–927.
• Estimates of introgression as a function of pairwise distances. Pfeifer, Bastian; Kapan, Durrell D. (2019). 20(1) 207.

  Research over the last 10 years highlights the increasing importance of hybridization between species as a major force structuring the evolution of genomes and potentially providing raw material for adaptation by natural and/or sexual selection. Fueled by research in a few model systems where phenotypic hybrids are easily identified, research into hybridization and introgression (the flow of genes between species) has exploded with the advent of whole-genome sequencing and emerging methods to detect the signature of hybridization at the whole-genome or chromosome level. Amongst these are a general class of methods that utilize patterns of single-nucleotide polymorphisms (SNPs) across a tree as markers of hybridization. These methods have been applied to a variety of genomic systems ranging from butterflies to Neanderthals to detect introgression, however, when employed at a fine genomic scale these methods do not perform well to quantify introgression in small sample windows.
• https://airccse.com/ams/index.html Motlagh, Khosrow Shafiei (K. S. Motlagh, ed.) (2018). Pellegrini Editore.
• Product Transparency in Online Selling Mechanisms: Consumer Preference for Opaque Products. Stich, Lucas; Spann, Martin; Häubl, Gerald (2018). (Vol. 46)
• Product Transparency in Online Selling Mechanisms: Consumer Preference for Opaque Products. Stich, Lucas; Spann, Martin; Häubl, Gerald (2018). (Vol. 46)
• Product Transparency in Online Selling Mechanisms: Consumer Preference for Opaque Products. Stich, Lucas; Spann, Martin; Häubl, Gerald (2018). (Vol. 46)
• Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price?. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 136 125–140.
• Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price?. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 136 125–140.
• Buyer and Seller Data from Pay What You Want and Name Your Own Price Laboratory Markets. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 12 513–517.
• Buyer and Seller Data from Pay What You Want and Name Your Own Price Laboratory Markets. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 12 513–517.
• Buyer and Seller Data from Pay What You Want and Name Your Own Price Laboratory Markets. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 12 513–517.
• Pay What You Want as a Pricing Model for Open Access Publishing?. Spann, Martin; Stich, Lucas; Schmidt, Klaus M. (2017). 60(11) 29–31.
• Pay What You Want as a Pricing Model for Open Access Publishing?. Spann, Martin; Stich, Lucas; Schmidt, Klaus M. (2017). 60(11) 29–31.
• Pay What You Want as a Pricing Model for Open Access Publishing?. Spann, Martin; Stich, Lucas; Schmidt, Klaus M. (2017). 60(11) 29–31.
• Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price?. Krämer, Florentin; Schmidt, Klaus M.; Spann, Martin; Stich, Lucas (2017). 136 125–140.
• Paying For a Chance to Save Money: Participation Fees in Name-Your-Own-Price Selling. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald K. Diehl, C. Yoon (eds.) (2015). (Vol. 43)
• Paying For a Chance to Save Money: Participation Fees in Name-Your-Own-Price Selling. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald K. Diehl, C. Yoon (eds.) (2015). (Vol. 43)
• Paying For a Chance to Save Money: Participation Fees in Name-Your-Own-Price Selling. Zeithammer, Robert; Stich, Lucas; Spann, Martin; Häubl, Gerald K. Diehl, C. Yoon (eds.) (2015). (Vol. 43)
• Modelling the Spread of Negative Word-of-Mouth in Online Social Networks. Stich, Lucas; Golla, Gerald; Nanopoulos, Alexandros (2014). 23(2) 203–221.
• Modelling the Spread of Negative Word-of-Mouth in Online Social Networks. Stich, Lucas; Golla, Gerald; Nanopoulos, Alexandros (2014). 23(2) 203–221.
• Modelling the Spread of Negative Word-of-Mouth in Online Social Networks. Stich, Lucas; Golla, Gerald; Nanopoulos, Alexandros (2014). 23(2) 203–221.
• Teaching statistics : a bag of tricks Gelman, Andrew; Nolan, Deborah Ann (2002). (First ) Oxford University Press, Oxford.