HannIT AöR (Hannoversche Informationstechnologien – Anstalt öffentlichen Rechts) is the IT service provider for the Hannover region and about 30 other districts and municipalities in Lower Saxony. The security computer centre with distributed locations forms the system technical basis for the operation and further development of administrative procedures.
The Competence Centre Mobility and GIS is in charge of traffic information and planning systems, such as electronic timetable information or network availability maps. The services offered by hannIT AöR include

• the electronic timetable information in Lower Saxony and Bremen (EFA), among others for GVH (Großraum Verkehr Hannover) and Braunschweig ,
• the operation of the DELFI-Landesserver for Lower Saxony,
• the real-time connection of the public transport companies in the GVH
• multimodal routing (public transport, car, bicycle, pedestrian …)

In addition, hannIT as a service provider is significantly involved in projects such as

• Connect GmbH (data integration for Lower Saxony and Bremen),
• DELFI e.V. (Germany-wide timetable information),
• EU-Spirit (Association of European directory assistance systems)

In the D4UM project hannIT AöR 

• ensures that the platform (hardware and software) is available
• coordinates the provision of SW solutions,
• collaborates on data protection and security rules
• creates the basis for the integration of IV real-time data and historical charts into the EFA timetable information (Prototype)

• SENTRY-VQA: A Region-Aware Framework for Surveillance Video Quality Assessment. Li, Min; Zheng, Qi; He, Chenlong; Liu, Jiaming; Huang, Leilei; Jing, Minge; Yan, Xiao; Fan, Yibo (2026). 4834–4838.
• Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models. Ding, Xuan; Tong, Pengyu; Duan, Ranjie; Zhang, Yunjian; Sun, Rui; Zhu, Yao C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• TornaLink: Toward Linking Tornado Cash Deposits to Withdrawals via DeFi Fingerprints. Xiao, Wenkuan; Wu, Qianhong; Zhang, Haoyang; Wu, Wenbo; Lu, Hengrun; Qin, Bo in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 209–227.
• Distributed Polynomial-in-the-Action VRFs with Proactive Refresh. Minamide, Hiroki in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 414–423.
• Taming the Heavy Tail: Age-Optimal Preemption. Li, Aimin; Ince, Yigit; Uysal, Elif (2026). 1–6.
• Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling. Yan, Feihong; Zhu, Yao; Wang, Peiru; Pang, Kaiyu; Wei, Qingyan; Li, Huiqi; Zhang, Linfeng C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization. Chang, Yifan; Qin, Jie; Qiao, Limeng; Wang, Xiaofeng; Zhu, Zheng; Ma, Lin; Wang, Xingang C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification. Liu, Chengliang; Li, Bo; Zhang, Bob; Luo, Xiaoling; Liu, Yabo; Wen, Jie C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• Native Reasoning Models: Training Language Models to Reason on Unverifiable Data. Wang, Yuanfu; Liu, Zhixuan; Li, Xiangtian; Lu, Chaochao; Chao, Yang C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• zBulk: Towards Automatic Compartmentalization in Rust with Zero Manual Retrofitting. von Onciul, Maxim Ritter; Raffeck, Phillip; Wägemann, Peter; Kapitza, Rüdiger (2026). 68–76.
• DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics. Lei, Yuanhang; Zhao, Boming; Yang, Zesong; Li, Xingxuan; Cheng, Tao; Peng, Haocheng; Zhang, Ru; Yang, Yang; Huang, Siyuan; Shen, Yujun; Hu, Ruizhen; Bao, Hujun; Cui, Zhaopeng C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation. Huang, Hao; Ding, Jingtao; Liao, Mengqi; Wang, Xin; Ban, Jinyang; Yuan, Yuan; Wan, Huaiyu; Li, Yong C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks. Cao, Hongye; Jing, Sijia; Wang, Yanming; Peng, Ziyue; Bai, Zhixin; Cao, Zhe; Fang, Meng; Feng, Fan; Liu, Jiaheng; Wang, Boyan; Yang, Tianpei; Huo, Jing; Gao, Yang; Meng, Fanyu; Yang, Xi; Deng, Chao; Feng, Junlan C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• ACS-Boot: Efficient Randomized Smoothing for Robustness Certification on Resource-Constrained Edge Devices. Lin, Miao; Zhang, Junrui; Li, Jian; Yu, Feng; Li, Lusi; Xin, Chunsheng; Wu, Hongyi; Ning, Rui (2026). 1–10.
• Critic-Adviser-Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMs. Ning, Chen; Liu, Xien; Yan, Chenwei; Zhang, Xiao; You, Xinxin; Zhou, Yuxuan; Fu, Xiangling; Wu, Ji C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search. Zhang, Kongcheng; Yao, Qi; Lai, Baisheng; Huang, Jiaxing; Fang, Wenkai; Tao, Dacheng; Song, Mingli; Liu, Shunyu C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• UNITE: Universal kNowledge Integration from Task-specific Experts. Lin, Shuxia; Wang, Qiufeng; Yang, Xu; Geng, Xin C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• Disjunctive Searchable Encryption with Comprehensive Forward and Backward Privacy. Li, Jinhui; Xu, Lei; Liu, Xiaoning; Yi, Xun in Lecture Notes in Computer Science, T. H. Yuen, S.-F. Sun (eds.) (2026). (Vol. 17082) 130–149.
• LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning. Kang, Haoqiang; Zhang, Yizhe; Kuang, Nikki Lijing; Majamaki, Nicklas; Jaitly, Navdeep; Ma, Yian; Qin, Lianhui C. Vondrick, B. Hariharan, C. Raffel, L. Pinto, D. Yang, A. Faust (eds.) (2026).
• The Nuremberg Chronicle 1493: Transcriptions. Schrausser, Dietmar (2026). 2026 1–70.

  Annotated transcriptions from the Nuremberg Chronicle, fol. Ir to VIIr in Latin (Schedel, 1493), Early New High German, ENHG (Schedel & Alt, 1493, 1496, res.) and from the English translation by Hadavas (2023) in comparison.
• Ekologik Turizmni Rivojlantirish Istiqbollari. o’g’li, Ravshanov To’lqin Nodirjon (2026). 4(2) 23–28.

  Mazkur maqolada ekoturizmni rivojlantirishning nazariy va amaliy jihatlari, shuningdek, uning O‘zbekiston sharoitidagi istiqbollari tahlil qilingan. Tadqiqotda atrof-muhitni muhofaza qilish, tabiiy resurslardan oqilona foydalanish hamda turizm faoliyatini ekologik tamoyillar asosida tashkil etish masalalariga alohida e’tibor qaratilgan. Ekoturizmning iqtisodiy, ijtimoiy va ekologik ahamiyati, uning barqaror rivojlanishdagi o‘rni hamda hududiy turistik salohiyatni oshirishdagi roli yoritilgan. Shuningdek, mamlakatimizdagi mavjud tabiiy va madaniy resurslardan samarali foydalanish orqali ekoturizmni rivojlantirish yo‘nalishlari hamda ushbu sohani takomillashtirish bo‘yicha ilmiy asoslangan takliflar berilgan.
• Harvesting Existential Experiences with Cultural Probes: Methodological Reflections on Sacred and Personal Data. Papenfuß, Nathalie; Wolf, Sara (2026, October).

  The SPIRITED Workshop “SoulSync: Exploring Technological Resonance in Religious and Spiritual Energy” lights up the curiosity about investigating the experiences related to interactive technologies in human existence. Interactive technologies interfere with people’s actions and attitudes on their lives, and discreetly inform their experiences and reflections (e.g. Frauenberger (2019), Kaptelinin (2016), Kaptelinin (2018), Nguyen et al (2022), Verbeek (2015)). Following this, to understand and design for a meaningful life, it is essential to make experiences and reflections of humans accessible for scientific inquiry. In my research, I investigate how participants’ reflections on existential concerns (i.e., meaning, identity, isolation, death, and freedom) can be systematically captured to inform HCI inquiry (Kaptelinin (2018)) using cultural probes. Based on my methodological research on applying cultural probes in Existential HCI, I argue that qualitative methods are a suitable approach for eliciting, capturing and documenting existential concerns. This work highlights three challenges of existential probing, as evidenced by participants' statements, the first author's personal reflections, and the initiation of discursive questions for Spiritual Informatics and the workshop theme “Harvesting & Generating R/S Energy”. The statements reveal the challenges of translating inner experiences into structured, communicable language through an organically chaotic process, the difficulty of selecting representative and synthesized experiences, and the fragile reflective engagement under real-life constraints, particularly during transitions or when resources are limited in terms of time, space, and emotional capacity.
• Rethinking CIRS: Current Reporting Practice and Conceptual Proposal of Conversational AI Agents for Critical Incident Reporting Systems Papenfuß, Nathalie; Huber, Stephan; Happel, Oliver; Hölzing, Carlos Ramon (2026). Association for Computing Machinery, New York, NY, USA.

  Critical Incident Reporting Systems (CIRS) are considered to improve patient safety in healthcare. However, the effectiveness of CIRS depends on healthcare professionals’ commitment to report incidents. First, we gain an understanding of healthcare professionals’ current use and negligence of CIRS through thematic analysis of interviews with anesthesiologists and nurses. Second, we elaborate on conceptual roles of CIRS and sketch conversational AI features. Instead of an unpopular stigmatized report-only form, CIRS could support healthcare professionals as a digital companion that enables narrative reporting, encourages learning processes and reporting of near-misses and success stories, and enables following and completing submitted reports anonymously. We conclude that the current abilities of CIRS misalign with user needs and contextual requirements. We contribute (1) qualitative insights on (non-)usage of CIRS and (2) rethink the role of CIRS, speculating on features to entail Safety-II. Our envisioned conversational AI agents support reporting activities to ultimately increase reporter engagement.
• Existential Probes: A Method to Elicit Existential Concerns in HCI Papenfuß, Nathalie; Wolf, Sara; Kutter, Lena; Hurtienne, Jörn (2026). Association for Computing Machinery, New York, NY, USA.

  Existential HCI argues that interactive technologies shape the experience of human existence, including questions of identity, freedom, and meaning. While this perspective is grounded in established theory, concrete methodological examples of empirical research and design practice are limited. To address this gap, we developed and deployed Existential Probes, a participant-led inquiry method inspired by the existential inquiry framework. We present the iterative development and field deployment with 13 young adults and show how Existential Probes make existential concerns visible early in the design process. Reflecting on this process, we identify methodological tensions that relate not only to Existential Probes but to probes more generally: probes focus on material, but language is equally important; probes provoke reflection on existential concerns, but do not provide coping support; and their outcomes impact participants and researchers. We conclude with practical considerations for integrating existential concerns into HCI practice and reconsidering principles of probe-based methods.
• Hyperscale: Ambition, Power and the Relentless Rise of Data Empires Marx, Paris (2026). Profile Books, London.

  Tech Won’t Save Us host Paris Marx pulls back the curtain on the hyperscale data centers powering the AI boom, revealing the cost of these infrastructures for communities and the planet, all while asking whether Silicon Valley’s vision of the future is one worth embracing.
• CYANSQL: Unlock the Power of NL2SQL Via Clustering-Based Test-Time Scaling. Qin, Haoyu; Ren, Tonghui; He, Zhenying; Wang, X. Sean; Xing, Jiashu; Ye, Yanghuan; Huang, Shifei; Li, Jinbao (2026). 1057–1072.
• Maximum Matching Size for Bounded Arboricity Graphs in the Dynamic Graph Stream Model using ~O. McGregor, Andrew (2026).
• Digitale Werkzeuge zur Erschließung historischer Schulbücher: ATR, NER und NEL. Keupp, Corinna; Haitz, Janik; Langhanki, Florian; Reul, Christian; Hertling, Anke; Dombrowski, Fabian; Klaes, Sebastian (2026). 46(3) 236–249.
• Würzburgs ‘Häuserbuch ohne Häuser’: Digitale Zugänge zur Geschichte einer untergegangenen Stadt. Shtohryn, Tomash; Langhanki, Florian; Ratulovská, Natália; Haitz, Janik; Reul, Christian (S. Schwandt; G. Viehhauser; T. Andrews; T. Wallnig, eds.) (2026).
• Muzey Turizmining Hududiy Iqtisodiy Rivojlanishga Ta’siri. Yulduz Urinbayeva Pirnazarovna, Sharipova Shahnozabonu (2026). 4(2) 20–22.

  Mazkur maqolada muzey turizmining hududiy iqtisodiy rivojlanishga ta’siri makroiqtisodiy yondashuv asosida tahlil qilinadi. Tadqiqot jarayonida madaniy turizm tarkibida muzeylarning o‘rni, ularning turizm oqimini shakllantirishdagi roli hamda hududiy iqtisodiy o‘sishga qo‘shayo tgan hissasi o‘rganildi. Statistik ma’lumotlar asosida muzey turizmi turistlar sonining oshishi, turizm daromadlarining ko‘payishi hamda xizmatlar sektorining rivojlanishiga ijobiy ta’sir ko‘rsatishi aniqlandi. Tadqiqot natijalari muzey turizmi hududiy iqt isodiy rivojlanishning muhim omillaridan biri ekanligini ko‘rsatadi
• Eco-Tourism in India - Present Status, Key Challenges and Future Prospects. Pradeep Kumar Nayak, Dr. Gayatri Sahoo (2026). 4(2) 4–12.

  Tourism has emerged as one of the world's largest and fastest-growing economic sectors. According to the World Travel and Tourism Council, tourism contributes approximately 10.4% to global GDP and supports one in every ten jobs worldwide. In India, tourism's contribution to GDP has been steadily increasing, reaching around 6.8% in 2019, with projections indicating continued growth in the coming decades.
• PLUMERIA RUBRA O’SIMLIGINI KO’PAYTIRISH. qizi, Karimova Gulsevar Erkinjon (2026). 4(2) 1–3.

  Ushbu maqolada Plumeria rubra o‘simligini ko‘paytirishning asosiy usullari, jumladan, qalamcha va urug‘ orqali ko‘paytirish texnologiyalari yoritiladi. O‘simlikning biologik xususiyatlari, ildiz hosil qilish jarayoni, parvarish talablari hamda issiq iqlim sharoitidagi o‘sish omillari ilmiy asosda tahlil qilinadi. Amaliy tavsiyalar ham keltiriladi.
• Die Forschungsfrage finden – Setze die Pfeiler für deine wissenschaftliche Arbeit Martin, Gertler. (2026).

  Die meisten wissenschaftlichen Arbeiten geraten nicht wegen schwacher Methoden ins Stocken. Sie geraten ins Stocken, weil zu Beginn nicht klar war, welches Problem gelöst werden soll, mit welcher wissenschaftlichen Zielsetzung und welcher passenden Methode.
• Sustainability Challenges and Rural Livelihoods in the Aravali Region: Assessing the Impact of Mining – Pathway to Vikshit Bharat 2047 (A Case Study of Girwa Tehsil, Udaipur, Rajasthan). Rubi Kumari, Dr Pankaj Rawal (2026). 4(2) 13–19.

  The Aravalli Hills, among India’s oldest geological formations, play a vital ecological role as a natural barrier against desertification and as a protector of biodiversity and groundwater recharge. Extending across nearly fifteen districts of Rajasthan, the range is central to the state’s environmental and socio - economic balance. Rajasthan, often termed a “museum of minerals,” is one of India’s most mineral - rich states, and the Aravalis serve as a significant repository of diverse mineral deposits. Field research reveals that livelihoods in mining - affected areas of the Aravalis are increasingly under stress. Two critical concerns have emerged: a sharp decline in underground water levels and the loss of flora and fauna essential for ecological stability and animal sustenance. Mining leases within spans of 3 – 5 kilometers are simultaneously extracting minerals, groundwater, and biological resources, intensifying environmental degradation. This study highlights the dual role of the Aravalis as both a mineral repository and an ecological lifeline, emphasizing the urgent need for sustainable resource management to safeguard biodiversity, water security, and rural livelihoods
• Design, Testing, and Evaluation of a Web-Based Geographic Information System for Brazilian City Governments. Becker, Valdecir; Alves, Wesley; Silva, Barbara; Pereira, Clarissa; Ribeiro, Carlos; Carvalho, Lillian; de Vasconcelos, Edvaldo in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 3–17.
• Exploring the Impact of User Feedback for Trust in Context-Aware Recommender Systems in Search-as-Learning. Rani, Neha; Kantamani, Srikar; Chu, Sharon Lynn in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 83–99.
• Promoting Water Culture Through Augmented Reality and Gamified Experiences. Jadán-Guerrero, Janio; Arias-Flores, Hugo; Piedra-Ansatuña, Mario; Chacón-Castro, Marcos in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 389–402.
• Investigating Automated Transcriptions for Multimodal CPS Detection in Groupwork. Ibarra, Benjamin; Wisniewski, Brett; Terpstra, Corbyn; Venkatesha, Videep; Bradford, Mariah; Blanchard, Nathaniel in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 214–224.
• A Universal Web-Based Tool for Multimodal Data Synchronization and Labeling. Khan, Nibraas; Haan, Ruj; Shragge, Ingrid; Zilinskaite, Gabija; Plunk, Abigale; Staubitz, John E.; Rajaraman, Adithyan; Weitlauf, Amy; Sarkar, Nilanjan in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 254–264.
• Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality. Yazdani, Milad; Medghalchi, Yasamin; Ashrafian, Pooria; Hacihaliloglu, Ilker; Shahriari, Dena in Lecture Notes in Computer Science, J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, P. Golland, J. H. Kim, J. Park (eds.) (2025). (Vol. 15975) 216–226.
• Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. Cao, Hongye; Feng, Fan; Fang, Meng; Dong, Shaokang; Yang, Tianpei; Huo, Jing; Gao, Yang (2025).
• HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents. Tomilin, Tristan; Fang, Meng; Pechenizkiy, Mykola (2025).
• DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion. Zhang, Hantao; Liu, Yuhe; Yang, Jiancheng; Guo, Weidong; Wang, Xinyuan; Fua, Pascal in Lecture Notes in Computer Science, J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, P. Golland, J. H. Kim, J. Park (eds.) (2025). (Vol. 15975) 161–172.
• GLCP: Global-to-Local Connectivity Preservation for Tubular Structure Segmentation. Zhou, Feixiang; Gao, Zhuangzhi; Zhao, He; Xie, Jianyang; Meng, Yanda; Zhao, Yitian; Lip, Gregory Yoke Hong; Zheng, Yalin in Lecture Notes in Computer Science, J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, P. Golland, J. H. Kim, J. Park (eds.) (2025). (Vol. 15975) 237–247.
• Analyzing the iOS Local Network Permission from a Technical and User Perspective. Schmidt, David; Ponticello, Alexander; Steinböck, Magdalena; Krombholz, Katharina; Lindorfer, Martina M. Blanton, W. Enck, C. Nita-Rotaru (eds.) (2025). 4229–4247.
• Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction. Chen, Jixiang; Lin, Yiqun; Qin, Yi; Wang, Hualiang; Li, Xiaomeng in Lecture Notes in Computer Science, J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, P. Golland, J. H. Kim, J. Park (eds.) (2025). (Vol. 15975) 140–150.
• A Benefit/Cost Analysis Tool for Better Benefits Management. Lyngar, Simon; Storvoll, Martin; Hannay, Jo E. in Lecture Notes in Computer Science, M. Kurosu, A. Hashizume (eds.) (2025). (Vol. 15771) 61–82.
• Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. Zheng, Shunfeng; Zhang, Yudi; Fang, Meng; Zhang, Zihan; Wu, Zhitan; Pechenizkiy, Mykola; Chen, Ling C. Christodoulopoulos, T. Chakraborty, C. Rose, V. Peng (eds.) (2025). 21927–21956.
• A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion Model. Xiang, Yang; Huang, Canan; Hu, Desheng; Tian, Jingguang; Hu, Xinhui; Zhang, Chao O. Scharenborg, C. Oertel, K. Truong (eds.) (2025).
• First Experiments on Automated Execution of Gherkin Test Specifications with Collaborating LLM Agents. Bergsmann, Severin; Schmidt, Alexander; Fischer, Stefan; Ramler, Rudolf W. Prasetya, T. E. J. Vos, T. van der Storm (eds.) (2024). 12–15.
• Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses. Schmidt, Tobias; Kipf, Andreas; Horn, Dominik; Saxena, Gaurav; Kraska, Tim P. Barceló, N. Sánchez-Pi, A. Meliou, S. Sudarshan (eds.) (2024). 347–359.
• Dynamics-Based Identification of Hybrid Systems using Symbolic Regression. Plambeck, Swantje; Schmidt, Maximilian; Fey, Görschwin; Subias, Audine; Travé-Massuyès, Louise (2024). 64–71.
• MedINST: Meta Dataset of Biomedical Instructions. Han, Wenhan; Fang, Meng; Zhang, Zihan; Yin, Yu; Song, Zirui; Chen, Ling; Pechenizkiy, Mykola; Chen, Qingyu in Findings of ACL, Y. Al-Onaizan, M. Bansal, Y.-N. Chen (eds.) (2024). (Vol. EMNLP 2024) 8221–8240.
• CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. Zhang, Qin; Cai, Sihan; Zhao, Jiaxu; Pechenizkiy, Mykola; Fang, Meng in Findings of ACL, Y. Al-Onaizan, M. Bansal, Y.-N. Chen (eds.) (2024). (Vol. EMNLP 2024) 14883–14898.
• Synthesizing Distribution Grid Congestion Data Using Multivariate Conditional Time Series Generative Adversarial Networks. Demirel, Gökhan; Hauf, Jan; Butt, Hallah Shahid; Förderer, Kevin; Schäfer, Benjamin; Hagenmeyer, Veit (2024). 385–390.
• Identification of possible depressive profile through mobile sensor data in university students. Saud, Conrado Dos Santos Alves; Motti, Vivian Genaro; de Oliveira Neris, Luciano; Bleicher, Tais; de Almeida Néris, Vânia Paula F. H. M. Oliveira, S. K. da Silva de Lemos Santos, I. T. Monteiro, M. L. B. Villela (eds.) (2024). 58.
• BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation. Wu, Tianyi; Zhang, Jingqing; Bai, Wenjia; Sun, Kai D. Demner-Fushman, S. Ananiadou, M. Miwa, K. Roberts, J. Tsujii (eds.) (2024). 328–341.
• Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. He, Qiang; Zhou, Tianyi; Fang, Meng; Maghsudi, Setareh (2024).
• Packet Management of AoI in the Finite Block-Length Regime. Sun, Mingxiao; Zhang, Di; Jia, Shaobo; Li, Aimin (2024). 748–752.
• Multivariate Analysis of Products Tipology Data - A Case Study. Costa, Nelson; Mota, Alzira; Sousa, Inês in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 177–186.
• Analysing Metadata of Articles Connecting IOT to Agriculture and Climate Change. Conrado, Luiz Felipe; Huther, Cristina Moll; Machado, Flávio Silva; Calado, Robisom Damasceno; Costa, Helder Gomes in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 334–344.
• Reconfigurable Intelligent Surface Assisted NOMA Collaborative Localization. Zhang, D.; Zhu, Yuncan; Cao, G.; Li, Meiling; Lu, Zhaoming; Yuan, Hu (2023). 4188–4192.
• Intelligent System for Spectrum Detection and Selection in Cognitive Radio Networks. Asuquo, Daniel E.; Umoh, Uduak; Robinson, Samuel A.; Dan, Emmanuel A.; Udoh, Samuel S.; Attai, Kingsley in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 272–283.
• Performance Evaluation of ChatGPT on BITSAT: Engineering Entrance Examination. Ehtesham, Syed; Bedi, Harpreet Singh; Bhardwaj, Ravindra Giriraj in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 1–9.
• An Agricultural Domain Based Question Answering System Using Natural Language Processing and Deep Learning Methodologies. Saravanan, Krithikha Sanju; Velammal, B. L. in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 115–126.
• Determinacy Axioms and Large Cardinals. Müller, Sandra in Lecture Notes in Computer Science, M. Banerjee, A. V. Sreejith (eds.) (2023). (Vol. 13963) 68–78.
• Stay Moral and Explore: Learn to Behave Morally in Text-based Games. Shi, Zijing; Fang, Meng; Xu, Yunqiu; Chen, Ling; Du, Yali (2023).
• Revolutionizing Higher Education Institute Query System by Linking Custom Knowledge Base with Large Language Models. Varaliya, Mohammed; Kanojia, Mahendra; Nabajja, Subhashish in Lecture Notes in Networks and Systems, A. Bajaj, A. M. Madureira, A. Abraham (eds.) (2023). (Vol. 1224) 86–94.
• Solidarität in den Krisen der Arbeitswelt: Aktualität kollektiver Widerstandserfahrungen Detje, Richard; Sauer, Dieter (2023). VSA-Verlag, Hamburg.

  Eine Gesellschaft, in der sich »die meisten Menschen nicht mehr um ihre Mitmenschen kümmern«, zerfällt (so der Befund einer aktuellen Untersuchung der Bertelsmann-Stiftung). Um dem entgegenzuwirken, wird das große »Wir« beschworen. Und so wurde wieder an »Solidarität« appelliert – Hilfe in Zeiten von Pandemie und Klimakrise, Krieg und Inflation. Doch tatsächlich ist Solidarität etwas völlig anderes als Hilfsbereitschaft. Solidarität heißt, Spaltungen zu überwinden, Stärke aus der Hintanstellung von sozialen oder ethnischen Differenzen zu gewinnen. Genau hier liegt das Problem: Konkurrenz, Fragmentierungen, Leistungsdruck, fehlende Austauschmöglichkeiten, Individualisierung, mobile Arbeit stellen Restriktionen dar, die Solidarisierung zunehmend erschweren. Und dennoch: Solidarität gibt es – vor allem als Widerstandserfahrung: unter Servicekräften in Kliniken, die gleichen Lohn für gleiche Arbeit fordern; unter den Beschäftigten in Warenhäusern, die sich Filialschließungen in den Weg stellen; unter migrantischen Arbeiter*innen in Logistikzentren, die ihr Recht auf Wahl eines Betriebsrats durchsetzen; in Belegschaften, die sich gegen die Schließung ihres Betriebes auf die Hinterbeine stellen; unter IT-Spezialisten, für die Individualität und kollektives Handeln kein Gegensatz sind. Richard Detje und Dieter Sauer haben unterschiedliche Fälle in Industrie- und Dienstleistungsbereichen untersucht, in denen nach herkömmlichem Verständnis wenig Zusammenhalt zu erwarten ist – in denen aber Aktionen des solidarischen Widerstands und praktische Lernprozesse in Richtung Solidarität stattgefunden haben. Grundlage ihrer Untersuchung sind Interviews, Gruppendiskussionen und Befragungen. Ihnen ist es wichtig, die Befragten und Protagonist*innen selber zu Wort kommen zu lassen, damit exemplarisch nachvollzogen werden kann, wieviel Solidarität in der Arbeitswelt steckt. Da Solidarität kein Zustand, sondern ein praktischer Lernprozess ist, diskutieren sie abschließend Ergebnisse solidarischer Praxen, die über jeweilige Fälle hinaus inspirierend und handlungsleitend sein können.
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