Relevant bibliographies by topics / Conversational systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Conversational systems'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Conversational systems"

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Qin, Zhen (Luther). "Conversational Breakdown Detector for a Motivational Interviewing Conversational Agent." IJournal: Student Journal of the Faculty of Information 9, no. 1 (2023): 60–77. http://dx.doi.org/10.33137/ijournal.v9i1.42237.

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A conversational breakdown in human-chatbot interaction refers to a disruption or failure in the communicative flow between the human user and the chatbot. To recover a disrupted conversation, the first step is to detect the breakdown. Researchers have proposed methods using supervised learning and semi-supervised learning in dialogue systems to achieve the goal of detecting conversational breakdown. However, few studies have focused on detecting breakdowns in automated therapeutic conversations, especially conversations led by motivational interviewing chatbots. The presence of conversational
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Watkinson, Neftali, Fedor Zaitsev, Aniket Shivam, et al. "EdgeAvatar: An Edge Computing System for Building Virtual Beings." Electronics 10, no. 3 (2021): 229. http://dx.doi.org/10.3390/electronics10030229.

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Dialogue systems, also known as conversational agents, are computing systems that use algorithms for speech and language processing to engage in conversation with humans or other conversation-capable systems. A chatbot is a conversational agent that has, as its primary goal, to maximize the length of the conversation without any specific targeted task. When a chatbot is embellished with an artistic approach that is meant to evoke an emotional response, then it is called a virtual being. On the other hand, conversational agents that interact with the physical world require the use of specialize
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Shridhar, Marri. "Conceptual Frameworks for Conversational Human-AI Interaction (CHAI) in Professional Contexts." International Journal of Current Science Research and Review 07, no. 10 (2024): 7842–53. https://doi.org/10.5281/zenodo.13943154.

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Abstract : Artificial intelligence (AI) is revolutionizing sectors like financial services, healthcare, and education, driving unprecedented progress and fostering innovation across domains. In this backdrop, basic conversational interface&nbsp;<em>aka&nbsp;</em>chat emerged as the predominant way to interact with AI systems. However, the current Human-AI (H2AI) conversations are fraught with a host of challenges necessitating a critical exploration into their design, strategy, and implications. Human-AI interaction design is hindered by fragmented and disjointed technology-driven approaches t
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Kiesel, Johannes, Lars Meyer, Martin Potthast, and Benno Stein. "Meta-Information in Conversational Search." ACM Transactions on Information Systems 39, no. 4 (2021): 1–44. http://dx.doi.org/10.1145/3468868.

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The exchange of meta-information has always formed part of information behavior. In this article, we show that this rule also extends to conversational search. Information about the user’s information need, their preferences, and the quality of search results are only some of the most salient examples of meta-information that are exchanged as a matter of course in a search conversation. To understand the importance of meta-information for conversational search, we revisit its definition and survey how meta-information has been taken into account in the past in information retrieval. Meta-infor
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Kum, Junyeong, and Myungho Lee. "Can Gestural Filler Reduce User-Perceived Latency in Conversation with Digital Humans?" Applied Sciences 12, no. 21 (2022): 10972. http://dx.doi.org/10.3390/app122110972.

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The demand for a conversational system with digital humans has increased with the development of artificial intelligence. Latency can occur in such conversational systems because of natural language processing and network issues, which can deteriorate the user’s performance and the availability of the systems. There have been attempts to mitigate user-perceived latency by using conversational fillers in human–agent interaction and human–robot interaction. However, non-verbal cues, such as gestures, have received less attention in such attempts, despite their essential roles in communication. T
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Lin, Dongding, Jian Wang, and Wenjie Li. "COLA: Improving Conversational Recommender Systems by Collaborative Augmentation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4462–70. http://dx.doi.org/10.1609/aaai.v37i4.25567.

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Conversational recommender systems (CRS) aim to employ natural language conversations to suggest suitable products to users. Understanding user preferences for prospective items and learning efficient item representations are crucial for CRS. Despite various attempts, earlier studies mostly learned item representations based on individual conversations, ignoring item popularity embodied among all others. Besides, they still need support in efficiently capturing user preferences since the information reflected in a single conversation is limited. Inspired by collaborative filtering, we propose
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Huang, Ting-Hao, Walter Lasecki, Amos Azaria, and Jeffrey Bigham. ""Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (September 21, 2016): 79–88. http://dx.doi.org/10.1609/hcomp.v4i1.13292.

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Intelligent conversational assistants, such as Apple's Siri, Microsoft's Cortana, and Amazon's Echo, have quickly become a part of our digital life. However, these assistants have major limitations, which prevents users from conversing with them as they would with human dialog partners. This limits our ability to observe how users really want to interact with the underlying system. To address this problem, we developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system. Chorus sophisticatedly conver
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Elvir, Miguel, Avelino J. Gonzalez, Christopher Walls, and Bryan Wilder. "Remembering a Conversation – A Conversational Memory Architecture for Embodied Conversational Agents." Journal of Intelligent Systems 26, no. 1 (2017): 1–21. http://dx.doi.org/10.1515/jisys-2015-0094.

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AbstractThis paper addresses the role of conversational memory in Embodied Conversational Agents (ECAs). It describes an investigation into developing such a memory architecture and integrating it into an ECA. ECAs are virtual agents whose purpose is to engage in conversations with human users, typically through natural language speech. While several works in the literature seek to produce viable ECA dialog architectures, only a few authors have addressed the episodic memory architectures in conversational agents and their role in enhancing their intelligence. In this work, we propose, impleme
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Ford, Nigel. "“Conversational” information systems." Journal of Documentation 61, no. 3 (2005): 362–84. http://dx.doi.org/10.1108/00220410510598535.

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Ren, Pengjie, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, and Maarten De Rijke. "Conversations with Search Engines: SERP-based Conversational Response Generation." ACM Transactions on Information Systems 39, no. 4 (2021): 1–29. http://dx.doi.org/10.1145/3432726.

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In this article, we address the problem of answering complex information needs by conducting conversations with search engines , in the sense that users can express their queries in natural language and directly receive the information they need from a short system response in a conversational manner. Recently, there have been some attempts towards a similar goal, e.g., studies on Conversational Agent s (CAs) and Conversational Search (CS). However, they either do not address complex information needs in search scenarios or they are limited to the development of conceptual frameworks and/or la
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Dissertations / Theses on the topic "Conversational systems"

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Sidås, Albin, and Simon Sandberg. "Conversational Engine for Transportation Systems." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176810.

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Today's communication between operators and professional drivers takes place through direct conversations between the parties. This thesis project explores the possibility to support the operators in classifying the topic of incoming communications and which entities are affected through the use of named entity recognition and topic classifications. By developing a synthetic training dataset, a NER model and a topic classification model was developed and evaluated to achieve F1-scores of 71.4 and 61.8 respectively. These results were explained by a low variance in the synthetic dataset in comp
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Lee, John Sie Yuen 1977. "Translingual grammar induction for conversational systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28719.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 75-77).<br>We propose an induction algorithm to semi-automate grammar authoring in an interlingua-based machine translation framework. This algorithm is designed for restricted domains within the context of multilingual conversational systems. It uses a pre-existing one-way translation system from some other language to the target language as prior information. It then infers a grammar for the target language. We demonstrate the system's e
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Baheti, Ashutosh. "Improving Conversation Quality of Data-driven Dialog Systems and Applications in Conversational Question Answering." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1596469447727479.

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Wärnestål, Pontus. "Dialogue behavior management in conversational recommender systems /." Linköping : Department of Computer and Information Science, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9624.

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Wärnestål, Pontus. "Dialogue Behavior Management in Conversational Recommender Systems." Doctoral thesis, Linköpings universitet, NLPLAB - Laboratoriet för databehandling av naturligt språk, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9624.

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This thesis examines recommendation dialogue, in the context of dialogue strategy design for conversational recommender systems. The purpose of a recommender system is to produce personalized recommendations of potentially useful items from a large space of possible options. In a conversational recommender system, this task is approached by utilizing natural language recommendation dialogue for detecting user preferences, as well as for providing recommendations. The fundamental idea of a conversational recommender system is that it relies on dialogue sessions to detect, continuously update, a
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Boulis, Constantinos. "Topic learning in text and conversational speech /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5914.

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Pérez, Rojas Daniel. "Tlatoa Communicator a Framework to Create Conversational Systems." Thesis, Universidad de las Américas Puebla, 2010. http://catarina.udlap.mx/u_dl_a/tales/documentos/dsc/perez_r_d/.

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The work presented in this proposal describes an approach to solve an actual problem in the conversational systems area: to enable non-experts to design and develop in which the user can establish a spoken dialogue systems. In most of the systems of this type, the specific information relative to the domain, or the specific information that delimits the specific capacities and limitations of the system is embedded within the source code. Due to this, people who want to modify or change actual systems experiment a great number of difficulties, because they must search and investigate in which p
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Leonhardt, Michelle Denise. "Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/49756.

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Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in in
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Sahay, Saurav. "Socio-semantic conversational information access." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42855.

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The main contributions of this thesis revolve around development of an integrated conversational recommendation system, combining data and information models with community network and interactions to leverage multi-modal information access. We have developed a real time conversational information access community agent that leverages community knowledge by pushing relevant recommendations to users of the community. The recommendations are delivered in the form of web resources, past conversation and people to connect to. The information agent (cobot, for community/ collaborative bot) monitors
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Nooraei, Beidokht Bahador. "A Real-Time Architecture for Conversational Agents." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-theses/972.

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"Consider two people having a face-to-face conversation. They sometimes listen, sometimes talk, and sometimes interrupt each other. They use facial expressions to signal that they are confused. They point at objects. They jump from topic to topic opportunistically. When another acquaintance walks by, they nod and say hello. All the while they have other concerns on their mind, such as not missing the meeting that starts in 10 minutes. Like many other humans behaviors, these are not easy to replicate in artificial agents. In this work we look into the design requirements of an embodied agent th
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Books on the topic "Conversational systems"

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D'Haro, Luis Fernando, Zoraida Callejas, and Satoshi Nakamura, eds. Conversational Dialogue Systems for the Next Decade. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8395-7.

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UTLAS. Utlas systems manual : guide to using REFCATSS II : conversational. Utlas, 1986.

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UTLAS. UTLAS systems manual : guide to using CATSS II (conversational mode). UTLAS, 1985.

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Olivier, Pietquin, and SpringerLink (Online service), eds. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer New York, 2012.

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International Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems (2002 : Copenhagen, Denmark). Advances in natural multimodal dialogue systems. Springer, 2004.

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Luc, Steels, and McDermott John 1942-, eds. The Knowledge level in expert systems: Conversations and commentary. Academic Press, 1994.

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van, Kuppevelt Jan, Dybkjær Laila 1959-, and Bernsen Niels Ole, eds. Advances in natural multimodal dialogue systems. Springer, 2005.

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Rocci, Luppicini, ed. Handbook of conversation design for instructional applications. Information Science Reference, 2008.

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Hausendorf, H. Gespräch als System: Linguistische Aspekte einer Soziologie der Interaktion. Westdeutscher Verlag, 1992.

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Wall, Charles Heron. A practical grammar of the Portuguese language: On Dr Otto's conversational system. Kessinger Pub., 2009.

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Book chapters on the topic "Conversational systems"

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McTear, Michael. "Evaluating Dialogue Systems." In Conversational AI. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02176-3_4.

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McTear, Michael, and Marina Ashurkina. "Designing Conversational Systems." In Transforming Conversational AI. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0110-5_2.

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McTear, Michael. "Statistical Data-Driven Dialogue Systems." In Conversational AI. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02176-3_3.

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Nishida, Toyoaki. "Conversation Quantization for Conversational Knowledge Process." In Databases in Networked Information Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31970-2_2.

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McTear, Michael. "End-to-End Neural Dialogue Systems." In Conversational AI. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02176-3_5.

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McTear, Michael. "Rule-Based Dialogue Systems: Architecture, Methods, and Tools." In Conversational AI. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02176-3_2.

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Lemon, Oliver. "Conversational Interfaces." In Data-Driven Methods for Adaptive Spoken Dialogue Systems. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4803-7_1.

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Nair, S. Arun, Amit Anil Nanavati, and Nitendra Rajput. "Conspeakuous: Contextualising Conversational Systems." In Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73110-8_18.

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Lin, Allen, Jianling Wang, Ziwei Zhu, and James Caverlee. "Federated Conversational Recommender Systems." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56069-9_4.

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Li, Shuokai, Yongchun Zhu, Ruobing Xie, et al. "Customized Conversational Recommender Systems." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26390-3_43.

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Conference papers on the topic "Conversational systems"

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Guo, Shuang, and Bo Ning. "A Review of Empathetic Conversational Systems." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743383.

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Lal, Mily, S. Neduncheliyan, Akanksha Goel, Poi Tamrakar, Saurabh Saoji, and Manisha Bhende. "Healthcare Interaction Through Conversational AI." In 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2024. https://doi.org/10.1109/iciics63763.2024.10859494.

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Nagpal, Rashmi, Sankung Fatty, and David Guy Brizan. "A Survey of Conversational Styles and Systems." In 2024 16th International Conference on Human System Interaction (HSI). IEEE, 2024. http://dx.doi.org/10.1109/hsi61632.2024.10613569.

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Wang, Xi, Procheta Sen, Ruizhe Li, and Emine Yilmaz. "Adaptive Retrieval-Augmented Generation for Conversational Systems." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.30.

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Feldhus, Nils. "Conversational XAI and Explanation Dialogues." In Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.yrrsds-1.1.

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Yan, Rui, and Dongyan Zhao. "Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/629.

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Conversational systems are becoming more and more promising by playing an important role in human-computer communications. A conversational system is supposed to be intelligent to enable human-like interactions. The long-term goal of smart human-computer conversations is challenging and heavily driven by data. Thanks to the prosperity of Web 2.0, a large volume of conversational data become available to establish human-computer conversational systems. Given a human issued message, namely a query, a traditional conversational system would provide a response after proper training of how to respo
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Li, Zhuohua, Maoli Liu, and John C. S. Lui. "FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/501.

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Conversational recommender systems have emerged as a potent solution for efficiently eliciting user preferences. These systems interactively present queries associated with "key terms" to users and leverage user feedback to estimate user preferences more efficiently. Nonetheless, most existing algorithms adopt a centralized approach. In this paper, we introduce FedConPE, a phase elimination-based federated conversational bandit algorithm, where M agents collaboratively solve a global contextual linear bandit problem with the help of a central server while ensuring secure data management. To ef
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Deng, Yang, Wenqiang Lei, Wai Lam, and Tat-Seng Chua. "A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/738.

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Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals from the system side. It is empowered by advanced techniques to progress to more complicated tasks that require strategical and motivational interactions. In this survey, we provide a comprehensive overview of the prominent problems and advanced designs for conversational agent's proactivity in different types of dialogues. Furthermore, we discuss
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Jia, Fusheng, Xinyu Chen, and Renke He. "Conversational Interaction Design for shopping apps: Situational awareness theory." In Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1002918.

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Conversational interaction is crucial to the development of e-commerce. In order to meet the needs of users, more and more enterprises begin to build chatbots based on conversational interaction. Conversational chatbots are becoming more and more popular, gradually becoming the preferred way for users to communicate with enterprises. Chatbots can provide users with personalized experience and high-quality services. However, there is no complete and systematic design principle to guide the design of its new conversational interface interaction. Many designers have borrowed the methods of social
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Kurylek, Bartosz, Arthur Camara, Akash Nandi, and Evangelos Markopoulos. "A Novel Agent-Based Framework for Conversational Data Analysis and Personal AI Systems." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004649.

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This paper introduces a novel agent-based framework that leverages conversational data to enhance Large Language Models (LLMs) with personalized knowledge, enabling the creation of Artificial Personal Intelligence (API) systems. The proposed framework addresses the challenge of collecting and analysing unstructured conversational data by utilizing LLM agents and embeddings to efficiently process, organize, and extract insights from conversations. The system architecture integrates knowledge data aggregation and agent-based conversational data extraction. The knowledge data aggregation method e
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Reports on the topic "Conversational systems"

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Loignon, Andy, Diane Bergeron, and Karissa McKenna. Leadership as Conversation: A New Tool to Support Leadership Development. Center for Creative Leadership, 2024. http://dx.doi.org/10.35613/ccl.2024.2057.

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At the Center for Creative Leadership (CCL), our research suggests that leadership is a social process. That is, leadership is neither a matter of one’s inherent traits nor something that’s bestowed based on one’s job title. With leadership as a social process, one way to support leadership development is through conversational analysis, which captures the dialogue that unfolds among individuals as they strive towards shared outcomes. We developed a wearable technology system (i.e., HiFi, which is short for high-fidelity) and are pilot testing this system within one of CCL’s flagship programs
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Murray, William R., Michelle Sams, William H. DeSmedt, and Donald Loritz. Mentor: Dialog Agent System for Mentoring and Conversational Role-Playing. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada395194.

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León, Carlos, and Kimmo Soramäki. The Next Generation RTGS: Liquidity Saving Mechanisms as an Overlay Service. FNA, 2024. http://dx.doi.org/10.69701/cfcz133.

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Between 1985 and 2006, a total of 96 central banks implemented Real-time Gross Settlement (RTGS) systems. The adoption of this technology was driven to reduce risks inherent in the then-predominant Deferred Net Settlement (DNS) systems. However, because RTGS systems consume large amounts of liquidity when each payment is settled individually, many RTGS systems (e.g., CHAPS and Target2) implemented Liquidity-Saving Mechanisms (LSMs) of varying complexity, with most deploying variations of the algorithm presented by Morten Bech and Kimmo Soramäki (the co-author) in 2001. Many of these systems ar
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Noronha, Sujata, and Beena Choksi. Facing Caste: Engaging with the Privileged. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/tesf0505.2023.

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The caste system in India and the structural inequalities perpetuated by casteism are significant challenges to creating a just society. The problem is exacerbated because the education system, including libraries and school curricula, does not fully acknowledge and confront this complex issue. Historically, libraries have emerged as safe spaces for collective conversations, diverse collections and dialogue around sensitive subjects. This project worked closely with a selective sample of seven library educators—most of them with caste privilege—to: examine their knowledge, attitudes, and pract
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Su, Fei, Vladislav Chernavskikh, and Wilfred Wan. Advancing Governance at the Nexus of Artificial Intelligence and Nuclear Weapons. Stockholm International Peace Research Institute, 2025. https://doi.org/10.55163/onlb7070.

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The rapid advancement of military artificial intelligence (AI), especially its potential integration into nuclear systems, presents significant risks to strategic stability and established deterrence practices. Despite these concerns, no dedicated governance framework currently exists to address the specific challenges of the AI–nuclear nexus. Existing initiatives have primarily focused on ensuring human control over nuclear decision-making. There are a number of state-led initiatives on the governance of military AI more broadly. They can be adapted to address the use of AI in nuclear weapons
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Mangrulkar, Amol, Archita Suryanarayanan, Elizabeth Shilpa Abraham, and Kirthan Shekar. Making of the Riparian Amphitheatre. Edited by Aromar Revi, Rahul Mehrotra, and Sanjay Prakash. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/9788195847365.

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This book focuses on the five key design questions that have been addressed in the design of a Riparian Amphitheatre and its execution that have shaped its form, integration into land and waterscape, structure, services and choice of building material and systems. The book documents the attempts to present a balanced account of the processes; materials, energy, carbon and the financial costs involved, the time and effort taken to plan, design and construct the Riparian Amphitheatre at the IIHS Campus. The book will inform and inspire planners and designers of institutional campuses and public
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7

Bruun, Laura. Towards a Two-tiered Approach to Regulation of Autonomous Weapon Systems: Identifying Pathways and Possible Elements. Stockholm International Peace Research Institute, 2024. http://dx.doi.org/10.55163/lped7967.

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As the global conversation on how to address the challenges posed by autonomous weapon systems (AWS) evolves, there is now growing support among states that one possible way to proceed is through a ‘two-tiered approach’. Such an approach would, on the one hand, prohibit certain types and uses of AWS and, on the other hand, place limits and requirements on the development and use of all other AWS. A critical task facing states is to agree on how such a two-tiered approach could be enacted. This report aims to help states elaborate on the content and contours of a two-tiered regulation of AWS. D
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8

Washington, Sally. Ministers and Officials: How to Get the Relationship Right. Australia and New Zealand School of Government, 2023. http://dx.doi.org/10.54810/wqsl1871.

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Relationships between ministers and officials are fundamental to our system of government. The foundation of those relationships, like any relationship, is trust and mutual respect. It needs to be based on honesty, openness, and an understanding of each other’s roles and responsibilities. ANZSOG ran a series of events to explore both the supply and the ‘demand side’ of good policy and good decision making, and the crucial relationships at the political administrative interface. The ANZSOG series of conversations involved politicians and public servants, and were designed to shed light on what
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9

Mangrulkar, Amol, Archita Suryanarayanan, Elizabeth Shilpa Abraham, et al. Built environment in IIHS campus, Kengeri. Edited by Aromar Revi, Rahul Mehotra, and Sanjay Prakash. Indian Institute for Human Settlements, 2024. https://doi.org/10.24943/9788198702364.

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The IIHS Campus, Kengeri sits at the intersection of the Ramasagara Lake, Sulikere Forest and an urban settlement, making it an excellent site to examine the interconnectedness between natural systems and the built environment. The Campus aspires to become an archetype of a safe space for humans and nature alike, to build eco-friendly and climate resilient structures, and to establish a living lab that brings together people and ideas from multiple disciplines to overcome challenges of rapid urbanisation, growing population and a heating planet. The BUILT ENVIRONMENT Box Set contains books tha
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10

Kessler, Matthew, Annsofie Wahlström, Hanna Weiber-Post, and Ylva Carlqvist Warnborg. Exploring the future of meat : navigating complex topics for better decision making. SLU Future food, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.55n5kd18dl.

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This report draws on insights gleaned from putting together the project The future of meat – storytelling and dialogues for improved decision making from 2021-2023, integrating lessons from expert interviews, podcast production, and facilitated workshops. The project was initiated by the SLU Future Food platform at the Swedish University of Agricultural Sciences (SLU), and developed and produced by TABLE, which is a food systems collaboration between the University of Oxford, SLU, and Wageningen University and Research. The aim of the project was to reflect on our own viewpoints and to foster
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