Gotowe bibliografie tematyczne / Conversational Agen

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Gotowa bibliografia na temat „Conversational Agen”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Conversational Agen"

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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Sabna, Eka. "CHATBOT SEBAGAI GURU VIRTUAL UNTUK MATA KULIAH DATA MINING." Jurnal Ilmu Komputer 11, no. 2 (2022): 110–15. http://dx.doi.org/10.33060/jik/2022/vol11.iss2.276.

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Abstract  A chatbot is an application (service) that interacts with users through text conversations. Chatbots work to replace the role of humans in serving conversations through messaging applications. The chatbot that is built will be virtual assisting that will help students learn at home. Chatbots can only answer questions based on patterns that have been stored in the chatbot's knowledge base. Chatbots are automated conversational agents that interact with users using natural human language that can help anytime and anywhere. This chatbot is applied as a Virtual Teacher who can prov

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Belainine, Billal, Fatiha Sadat, and Hakim Lounis. "Modelling a Conversational Agent with Complex Emotional Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (2020): 13710–11. http://dx.doi.org/10.1609/aaai.v34i10.7127.

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Chatbots or conversational agents have enjoyed great popularity in recent years. They surprisingly perform sensitive tasks in modern societies. However, despite the fact that they offer help, support, and fellowship, there is a task that is not yet mastered: dealing with complex emotions and simulating human sensations. This research aims to design an architecture for an emotional conversation agent for long-text conversations (multi-turns). This agent is intended to work in areas where the analysis of users feelings plays a leading role. This work refers to natural language understanding and

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Lin, Phoebe, Jessica Van Brummelen, Galit Lukin, Randi Williams, and Cynthia Breazeal. "Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 09 (2020): 13381–88. http://dx.doi.org/10.1609/aaai.v34i09.7061.

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Understanding how machines learn is critical for children to develop useful mental models for exploring artificial intelligence (AI) and smart devices that they now frequently interact with. Although children are very familiar with having conversations with conversational agents like Siri and Alexa, children often have limited knowledge about AI and machine learning. We leverage their existing familiarity and present Zhorai, a conversational platform and curriculum designed to help young children understand how machines learn. Children ages eight to eleven train an agent through conversation a

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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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KO, EON-SUK, AMANDA SEIDL, ALEJANDRINA CRISTIA, MELISSA REIMCHEN, and MELANIE SODERSTROM. "Entrainment of prosody in the interaction of mothers with their young children." Journal of Child Language 43, no. 2 (2015): 284–309. http://dx.doi.org/10.1017/s0305000915000203.

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AbstractCaregiver speech is not a static collection of utterances, but occurs in conversational exchanges, in which caregiver and child dynamically influence each other's speech. We investigate (a) whether children and caregivers modulate the prosody of their speech as a function of their interlocutor's speech, and (b) the influence of the initiator of the conversation on durational characteristics of the exchange. We analyzed naturalistic conversations from 13 mother–infant/toddler dyads aged 12–30 months across full-day recordings of 3–5 days per dyad using LENA and automated analytic tools.

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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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Pramono, Firdanianty, Djuara P. Lubis, Herien Puspitawati, and Djoko Susanto. "COMMUNICATION PATTERN AND FAMILY TYPOLOGY OF HIGH SCHOOL ADOLESCENTS IN BOGOR." Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia 2, no. 1 (2017): 20. http://dx.doi.org/10.25008/jkiski.v2i1.85.

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Family communication does not occur randomly, but it is patterned by a particular scheme through two communication behavior: a conversation orientation and conformity orientation. The purpose of this study was to analyze communication patterns and typology of the family in adolescents from high schools in Bogor. The research was conducted by survey at six high schools in Bogor. Total respondents were 372 students, consisting of 206 females and 166 males aged 15-18 years old. The result: as much as 50.5% adolescents enter a high category of the orientation conversation and 49.5% as low categori

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Pilato, Giovanni, Agnese Augello, and Salvatore Gaglio. "A Modular System Oriented to the Design of Versatile Knowledge Bases for Chatbots." ISRN Artificial Intelligence 2012 (March 5, 2012): 1–10. http://dx.doi.org/10.5402/2012/363840.

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The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base for a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations. The modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According to this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into account particular features of the dialogue or the user behavior. We illustrate the imp

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Sigman, Stuart J. "Conversational Behavior in Two Health Care Institutions for the Elderly." International Journal of Aging and Human Development 21, no. 2 (1986): 137–54. http://dx.doi.org/10.2190/2j4e-nncl-4mnu-67he.

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This article develops a perspective for studying conversational behavior in geriatric institutions. The discussion first considers why conversation is a theoretically significant focus for communications researchers concerned with the aged, and then the article presents data from ethnographic studies of two nursing facilities. Symbolic interactionism underlies the analyses discussed here, for it is suggested that conversations are a means by which interactants communicate about (and so, “construct”) their social reality, their relative social statuses, etc. The importance of conversational (mo

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Rozprawy doktorskie na temat "Conversational Agen"

Ishii, Ryo. "Designing Conversational Interfaces for Facilitating Conversation using User's Gaze Behaviors." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180472.

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Hijjawi, Moh'd Hatim Husni. "ArabChat : an Arabic conversational agent." Thesis, Manchester Metropolitan University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547403.

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This thesis details the development of a novel and practical Conversational Agent for the Arabic language called ArabChat. A conversational Agent is a computer program that attempts to simulate conversations between machine and human. In this thesis, the term 'conversation' or 'utterance' refers to real-time chat exchange between machine and human. The proposed framework for developing the Arabic Conversational Agent (ArabChat) is based on Pattern Matching approach to handle users' conversations. The Pattern Matching approach is based on the matching process between a user's utterance and pre-

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Ly, Eric Thich Vi. "Chatter--a conversational telephone agent." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/29067.

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Rystedt, Beata, and Mia Zdybek. "Conversational agent as kitchen assistant." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230904.

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Chatbots, also called conversational agents, with speech interfaces are being used to a greater and greater extent, but there are still many areas that are not completely explored. The idea of this project was born out of the belief that there is a need for an assistant in the kitchen that is able to search for recipes, answer questions regarding them and guide and assist the user throughout the cooking process, all through conversation since the hands are busy. This paper begins with an introduction in the subject of conversational agents and the related technology, then similar, already exis

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Jumaah, Ahmed Salih Fadhil. "Conversational Agent for Health Coaching." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3557/1/ahmed_jumaah_phd_thesis.pdf.

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Poor diet and physical inactivity are two of the biggest healthcare challenges we are facing, and are related to individuals lifestyle. In fact, a poor lifestyle is strongly correlated to chronic diseases, the leading causes for morbidity and mortality. Adhering to a healthy diet and following an active lifestyle are thus necessary to promote the overall health. However, maintaining a healthy diet and physically active lifestyle is hard. This is due to poor health literacy, lack of awareness, motivation and effective intervention support. Recent years have seen a blast of mHealth apps for hea

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O'Shea, Karen Suzanne. "A semantic-based conversational agent framework." Thesis, University of Oxford, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543751.

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Ravenet, Brian. "Modélisation de comportements non-verbaux et d'attitudes sociales dans la simulation de groupes conversationnels." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0075/document.

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Les Agents Conversationnels Animés sont des personnages virtuels dont la fonction principale est d'interagir avec l'utilisateur. Ils sont utilisés dans différents domaines tels que l'assistance personnelle, l'entrainement social ou les jeux vidéo et afin d'améliorer leur potentiel, il est possible de leur donner la capacité d'exprimer des comportements similaires à ceux des humains. Les utilisateurs, conscient d'interagir avec une machine, sont tout de même capable d'analyser et d'identifier des comportements sociaux à travers les signaux émis par les agents. La recherche en ACA s'est longtemp

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Alobaidi, Omar. "Arabic conversational agent for modern Islamic education." Thesis, Manchester Metropolitan University, 2015. http://e-space.mmu.ac.uk/309/.

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This thesis presents research that combines the benefits of intelligent tutoring systems (ITS), Arabic conversational agents (CA) and learning theories by constructing a novel Arabic conversational intelligent tutoring system (CITS) called Abdullah. Abdullah CITS is a software program intended to deliver a tutorial to students aged between 10 and 12 years old, that covers the essential topics in Islam using natural language. The CITS aims to mimic a human Arabic tutor by engaging the students in dialogue using Modern standard Arabic language (MSA), whilst also allowing conversation and discuss

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Wang, Austin J. (Austin Jesse) 1980. "Collaborative storytelling with an embodied conversational agent." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16976.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Leaves not numbered. Includes bibliographical references (leaves [60]-[64]). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. When children tell stories to their peers, they naturally collaborate with each other: coauthoring stories, corroborating when in doubt, and acting as active listeners. Their reliance on each other during, as well as the creative process itself, be

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Venter, Wessel Johannes. "An embodied conversational agent with autistic behaviour." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20115.

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Thesis (MSc)--Stellenbosch University, 2012. ENGLISH ABSTRACT: In this thesis we describe the creation of an embodied conversational agent which exhibits the behavioural traits of a child who has Asperger Syndrome. The agent is rule-based, rather than arti cially intelligent, for which we give justi cation. We then describe the design and implementation of the agent, and pay particular attention to the interaction between emotion, personality and social context. A 3D demonstration program shows the typical output to conform to Asperger-like answers, with corresponding emotional respon

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Książki na temat "Conversational Agen"

Long, Rob. Conversations with my agent. Faber and Faber, 1996.

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Capra, Fritjof. Uncommon wisdom: Conversations with remarkable people. Rider, 1988.

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Capra, Fritjof. Uncommon wisdom: Conversations with remarkable people. Bantam Books, 1989.

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Capra, Fritjof. Uncommon wisdom: Conversations with remarkable people. Simon and Schuster, 1988.

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Sarton, May. Crucial conversations. Women's Press, 1997.

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E, Densmore Ann, and Harman Deborah R, eds. Language intervention with school-aged children: Conversation, narrative, and text. Singular Pub. Group, 1995.

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Jay, Brown David, and Novick Rebecca McClen, eds. Mavericks of the mind: Conversations for the new millennium. Crossing Press, 1993.

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1947-, Newton Lois, and Grundy Vicki, eds. Cooking for elderly people: Conversations on food and wellness in aged care facilities. 3rd ed. Creative State, 1998.

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Ryan, Robin. God and the mystery of human suffering: A theological conversation across the ages. Paulist Press, 2011.

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Yep, Laurence. Angel Island: Conversations with my father. HarperCollinsPublishers, 2008.

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Części książek na temat "Conversational Agen"

Dolamic, Ljiljana. "Conversational Agents." In Large Language Models in Cybersecurity. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54827-7_4.

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AbstractConversational agents (CA) are engaged in interactive conversations with users, providing responses and assistance while combining Natural Language Processing (NLP), Understanding (NLU), and Generating (NLG) techniques. Two tiers of conversational agent derivation from Large Language Models (LLMs) exist. The first tier involves conversational fine-tuning from datasets, representing expected user questions and desired conversational agent responses. The second tier requires manual prompting by human operators and evaluation of model output, which is then used for further fine-tuning. Fi

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Martin, Francisco J., Enric Plaza, and Juan A. Rodríguez-Aguilar. "Conversation Protocols: Modeling and Implementing Conversations in Agent-Based Systems." In Issues in Agent Communication. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_17.

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Phillips, Laurence R., and Hamilton E. Link. "The Role of Conversation Policy in Carrying Out Agent Conversations." In Issues in Agent Communication. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10722777_9.

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Nguyen, Van Bach, Jörg Schlötterer, and Christin Seifert. "From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44070-0_4.

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Kawahara, Daisuke, Ryohei Sasano, and Sadao Kurohashi. "Text Understanding for Conversational Agent." In Intelligent Media Technology for Communicative Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11558637_2.

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Jadhav, Komal P., and Sandeep A. Thorat. "Towards Designing Conversational Agent Systems." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9515-5_51.

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Kadous, Mohammed Waleed, and Claude Sammut. "InCA: A Mobile Conversational Agent." In PRICAI 2004: Trends in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28633-2_68.

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Kimura, Mikako, and Yasuhiko Kitamura. "Embodied Conversational Agent Based on Semantic Web." In Agent Computing and Multi-Agent Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_87.

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Bonzon, Pierre. "Compiling Dynamic Agent Conversations." In KI 2002: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45751-8_3.

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Golovanov, Sergey, Alexander Tselousov, Rauf Kurbanov, and Sergey I. Nikolenko. "Lost in Conversation: A Conversational Agent Based on the Transformer and Transfer Learning." In The NeurIPS '18 Competition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29135-8_12.

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Streszczenia konferencji na temat "Conversational Agen"

Jang, Jin Yea, Saim Shin, and Gahgene Gweon. "Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richness." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.849.

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Ramasamy, Tharsiniy, Kim Choo Tan, Choo Peng Tan, and Ah Choo Koo. "Conversational Agent Framework in Mathematics Education." In The International Conference on Creative Multimedia. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013340600004557.

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Sharma, Ashish, Inna W. Lin, Adam S. Miner, Dave C. Atkins, and Tim Althoff. "Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/747.

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Online peer-to-peer support platforms enable conversations between millions of people who seek and provide mental health support. If successful, web-based mental health conversations could improve access to treatment and reduce the global disease burden. Psychologists have repeatedly demonstrated that empathy, the ability to understand and feel the emotions and experiences of others, is a key component leading to positive outcomes in supportive conversations. However, recent studies have shown that highly empathic conversations are rare in online mental health platforms. In this paper, we work

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Sun, Xin, Emiel Krahmer, Jan De Wit, Reinout Wiers, and Jos A. Bosch. "Plug and Play Conversations: The Micro-Conversation Scheme for Modular Development of Hybrid Conversational Agent." In CSCW '23: Computer Supported Cooperative Work and Social Computing. ACM, 2023. http://dx.doi.org/10.1145/3584931.3606998.

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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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Chatterjee, Ajay, and Shubhashis Sengupta. "Intent Mining from past conversations for Conversational Agent." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.366.

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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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Kuramoto, Itaru, Jun Baba, Kohei Ogawa, Yuichiro Yoshikawa, Takayuki Kawabata, and Hiroshi Ishiguro. "Conversational Agents to Suppress Customer Anger in Text-based Customer-support Conversations." In HAI '18: 6th International Conference on Human-Agent Interaction. ACM, 2018. http://dx.doi.org/10.1145/3284432.3284457.

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Van Brummelen, Jessica, Catherine Yeo, and Kevin Weng. "LEARNING TO PROGRAM CONVERSATIONALLY: A CONVERSATIONAL AGENT TO FURTHER DEMOCRATIZE PROGRAMMING." In 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.2446.

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Raporty organizacyjne na temat "Conversational Agen"

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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David, Patty. AARP Research: A Conversation Starter About Age. AARP Research, 2016. http://dx.doi.org/10.26419/res.00124.001.

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Mohile, Supriya, Ronald Epstein, Arti Hurria, et al. Do Reports That Capture the Age-Related Problems of Older Patients with Cancer Improve Doctor-Patient Conversations? --The COACH Study. Patient-Centered Outcomes Research Institute (PCORI), 2020. http://dx.doi.org/10.25302/08.2020.cd.12114634.

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Bashwira, Marie-Rose, Isidore Murhi Mihigo, and Diane Duclos. Key considerations: Mpox, mining, and vulnerabilities of women and children in eastern DRC. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/sshap.2024.037.

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This brief presents considerations for contextualising and responding to the mpox outbreak in the mining towns of South Kivu province in the Democratic Republic of the Congo (DRC). The brief focuses on women and children living and working in artisanal and small-scale mining (ASM) areas. In South Kivu, in eastern DRC, most documented mpox cases have been in women (including women who engage in transactional sex) and children under the age of 15, including newborns. This brief highlights relevant socio-political contexts related to ASM, livelihoods, population mobility, and conflict and public

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Rosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart, and Jane Wilbur. How to Talk About Incontinence: A Checklist. Institute of Development Studies (IDS), 2020. http://dx.doi.org/10.19088/slh.2020.006.

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Incontinence is the medical term used to describe the involuntary loss of urine or faeces. Women, men, girls, boys and people of all genders, at any age, can experience incontinence. A person with incontinence can experience leakage occasionally, regularly or constantly; and leakage can happen at any time, day or night. A person may also experience leakage of urinary or faecal matter due to not being able to get to the toilet in time or not wanting to use the toilet facilities available. This is known as social, or functional, incontinence. In many low- and middle-income countries (LMICs) unde

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Rosato-Scott, Claire, Dani J. Barrington, Amita Bhakta, Sarah J. House, Islay Mactaggart, and Wilbur Jane. How to Talk About Incontinence: A Checklist. Institute of Development Studies (IDS), 2020. http://dx.doi.org/10.19088/slh.2020.012.

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Gitonga, Daphine, Chemuku Wekesa, Godwin Kowero, et al. Kenyan Youth Perspectives on Forests : report from a youth-scientist dialogue on sustainable forestry. SLU Global, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.3n821idolh.

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This report presents proceedings of “AfricanYouth4Forests” project workshop held in Voi, Taita Taveta county, Kenya from 7 to 9 November 2022. The workshop was jointly organised by African Forest Forum (AFF), Swedish University of Agricultural Sciences (SLU), and Kenya Forestry Research Institute (KEFRI). It brought together 19 youths from Taita Taveta and Nairobi counties between 18-25 years of age to engage with researchers and policymakers in conversations about young people's views, visions, goals, and ideas in shaping the future governance of Kenya’s and the continent's forests. The parti

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Ogwuike, Clinton Obinna, and Chimere Iheonu. Stakeholder Perspectives on Improving Educational Outcomes in Enugu State. Research on Improving Systems of Education (RISE), 2021. http://dx.doi.org/10.35489/bsg-rise-ri_2021/034.

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Education remains crucial for socioeconomic development and is linked to improved quality of life. In Nigeria, basic education has remained poor and is characterised by unhealthy attributes, including low quality infrastructure and a lack of effective management of primary and secondary schools. Access to education is a massive issue—according to the United Nations, there are currently about 10.5 million out of school children in Nigeria, and 1 in every 5 of the world’s out-of-school-children lives in Nigeria despite the fact that primary education in Nigeria is free. A considerable divide exi

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Strasser, Fiona-Elaine. Recommendations on engaging with the next generation of stakeholders. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d8.11.

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This report provides an overview of EuroSea's initiatives focused on engaging the next generation of ocean observing and forecasting stakeholders. Many activities took place, including delivering workshops, presenting the EuroSea itinerant exhibition, collaborating with the WASCAL Floating University and the SEA-EU inter-university initiative, supporting the international Ocean Observers Initiative, and much more. Engaging the next generation of stakeholders in meaningful discussions and innovative projects is essential to ensure future-oriented intergenerational collaboration. Yet, this is of

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Hughes, Ceri, Miguel Martinez Lucio, Stephen Mustchin, and Miriam Tenquist. Understanding whether local employment charters could support fairer employment practices: Research Briefing Note. University of Manchester Work and Equalities Institute, 2024. http://dx.doi.org/10.3927/uom.5176698.

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Employment charters are voluntary initiatives that attempt to describe ‘good’ employment practices and to engage and recognise those employers that meet or aspire to meet these practices. They can operate at different spatial scales, ranging from international and national accreditation schemes to local charters that focus on engaging employers in specific regions or cities. The latter are the focus of this briefing paper. At least six city-regions in England had local employment charters at the time of our research. These areas alone account for over a fifth (21 per cent) of the resident work

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