CFP - Money, Games, Power: The Money Turn in Games Studies Edited Collection
Hi everyone! We are seeking abstract submissions for an edited collection which explores the developing “Money Turn” in game studies. The book aims to reveal how economic and financial imperatives reconfigure player experiences, game aesthetics, industry practices, and monetization models – positioning the “Money Turn” in game studies as a crucial paradigm for understanding contemporary game cultures and the entanglements of power, profit, and play. Taking an intentionally broad view of money, the edited collection seeks to critically dissect the intersections of capitalism and games, and explore the many roles money plays in games and game studies—not only in its most visible forms, but also in the ways it influences who makes games, who profits from them, and who is excluded from their economies. We welcome abstract submissions for chapters that examine aspects of the intersections and interrelations between money and games. Suggested topics include, but are not limited to: * The financialization of the videogame industry * Methodological approaches to studying money and games * Alternative and emerging monetization models and approaches * Impacts of game monetization on players, particularly vulnerable groups * Global efforts to regulate videogame monetization models * The impacts of platform capitalism on games production and play * The impacts of money on labor and industrial conditions * How money interacts with players, and how players interact with money Abstracts of 250-300 words are due by Friday 23rd May 2025 at 11:59 pm (Anywhere on Earth) and should be submitted to moneygamesbook@gmail.com. Your submission should also include a 100-word bio. Final chapters should be 5000-6000 words, and will be subject to blind peer review. Key dates * Abstract & bio submissions due: 23 May 2025 * Acceptance notifications: 6 June 2025 * Full chapters (5000-6000 words) due: 6 October 2025 Editors: Ben Egliston, Taylor Hardwick and Marcus Carter Please find the full CFP at http://bit.ly/4iyR8gI If you would like further information or have any questions, please reach out at moneygamesbook@gmail.com. All the best, Taylor, Ben and Marcus Dr Taylor Hardwick (She/Her) Postdoctoral Research Fellow | Sydney Games and Play Lab School of Architecture, Design and Planning The University of Sydney I acknowledge the Traditional Owners of the unceded lands on which I live and work, the Wurundjeri Woi-Wurrung people of the Kulin Nations, and pay my respects to their Elders past and present.
Second International Workshop on Data Analytics in Biomedicine held in conjunction with DDP2025 (IEEE) Luton, UK 18-20 August 2025 https://socio.org.uk/ddp/workshopinter.php CALL FOR PAPERS The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing and extracting valuable insights from this vast amount of unstructured and heterogeneous data. To address this issue, advanced data analytics techniques, ranging from data and text mining to semantic network analysis and recent advancements in large language models (LLMs), have become indispensable tools for researchers and practitioners. This is particularly relevant in the realm of biomedicine, where text mining has shown the ability to enable researchers to uncover hidden patterns, trends, and associations that would otherwise remain buried in the vast amount of health-related textual data, as research articles, clinical reports, and electronic health records (EHRs). On the other hand, semantic network analysis, which focuses on understanding the structure and dynamics of networks formed by entities and their interconnections derived from text mining processes, can facilitate a deeper understanding of the complex interrelationships within biomedical data. By analyzing properties like centrality, modularity, and community structures, researchers can identify key nodes and critical pathways in biological networks, predict disease associations, and explore the functional organization of biological systems. Integrating text mining, semantic network analysis, and large language models offers a powerful approach to enhance the ability to generate new hypotheses and insights and support the development of more effective diagnostics, treatments, and interventions. The workshop represents an opportunity to explore the latest advancements in data analytics and text mining in biomedicine. Attendees will gain insights into developing more interpretable models, handling large-scale biomedical datasets, and implementing scalable solutions for real-world healthcare applications. Moreover, the workshop is highly relevant because it has the potential to significantly improve the safety, effectiveness, and efficiency of biomedical interventions through advanced data analytics. TOPIC OF INTEREST We invite submissions on a wide range of topics, including but not limited to: • Novel techniques and measures for assessing textual data quality and handling data integration. • Advanced text-mining techniques for biomedical data • Construction and analysis of semantic networks in biomedicine • Case studies on integrated text mining and semantic network analysis • Applications of LLMs in biomedicine • Data analytics in precision medicine • Text-driven approaches to drug discovery • Interpretable or scalable data analytics approaches • Application of data analytics and network science in narrative medicine • Computational methods for disease modeling and prediction • Ethical considerations in biomedical data analytics • Multimodal biomedical data analytics • Future trends and challenges in biomedical data analytics PROGRAM The workshop will take place on (To Be Announced). The program is not available yet. PAPER SUBMISSION – REGISTRATION AND PUBLICATION Please refer to socio.org.uk/ddp/ IMPORTANT DATES Submission of Papers: June 20, 2025 Notification of Acceptance/Rejection: July 15, 2025 Camera-ready: August 10, 2025 Registration: August 10, 2025 Conference Dates: August 18-20, 2025 Post-Conference Proceedings Release: November 30, 2025 WORKSHOP ORGANIZERs Chiara Zucco, University Magna Graecia of Catanzaro, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Marianna Milano, University Magna Graecia of Catanzaro, Italy PROGRAM COMMITTEE (TO BE CONFIRMED) Marzia Settino, University of Calabria, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy Contact: ddp@socio.org.uk
. Get Outlook for Android<https://aka.ms/AAb9ysg> ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of ijwa--- via Air-L <air-l@listserv.aoir.org> Sent: Wednesday, April 23, 2025 11:25:30 AM To: air-l@listserv.aoir.org <air-l@listserv.aoir.org> Subject: [Air-L] Workshop on Data Analytics in Biomedicine CAUTION: External Message. Use caution opening links and attachments. Second International Workshop on Data Analytics in Biomedicine held in conjunction with DDP2025 (IEEE) Luton, UK 18-20 August 2025 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsocio.org.uk%2Fddp%2Fworkshopinter.php&data=05%7C02%7Cmegs%40leeds.ac.uk%7C3d97649b52e3470ab0b508dd82512a3e%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C0%7C0%7C638810007298292934%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=ykxYLoIUIcb5K6%2FFRj56qhCmR7r065zV7m9Esa1Xg5M%3D&reserved=0<https://socio.org.uk/ddp/workshopinter.php> CALL FOR PAPERS The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing and extracting valuable insights from this vast amount of unstructured and heterogeneous data. To address this issue, advanced data analytics techniques, ranging from data and text mining to semantic network analysis and recent advancements in large language models (LLMs), have become indispensable tools for researchers and practitioners. This is particularly relevant in the realm of biomedicine, where text mining has shown the ability to enable researchers to uncover hidden patterns, trends, and associations that would otherwise remain buried in the vast amount of health-related textual data, as research articles, clinical reports, and electronic health records (EHRs). On the other hand, semantic network analysis, which focuses on understanding the structure and dynamics of networks formed by entities and their interconnections derived from text mining processes, can facilitate a deeper understanding of the complex interrelationships within biomedical data. By analyzing properties like centrality, modularity, and community structures, researchers can identify key nodes and critical pathways in biological networks, predict disease associations, and explore the functional organization of biological systems. Integrating text mining, semantic network analysis, and large language models offers a powerful approach to enhance the ability to generate new hypotheses and insights and support the development of more effective diagnostics, treatments, and interventions. The workshop represents an opportunity to explore the latest advancements in data analytics and text mining in biomedicine. Attendees will gain insights into developing more interpretable models, handling large-scale biomedical datasets, and implementing scalable solutions for real-world healthcare applications. Moreover, the workshop is highly relevant because it has the potential to significantly improve the safety, effectiveness, and efficiency of biomedical interventions through advanced data analytics. TOPIC OF INTEREST We invite submissions on a wide range of topics, including but not limited to: • Novel techniques and measures for assessing textual data quality and handling data integration. • Advanced text-mining techniques for biomedical data • Construction and analysis of semantic networks in biomedicine • Case studies on integrated text mining and semantic network analysis • Applications of LLMs in biomedicine • Data analytics in precision medicine • Text-driven approaches to drug discovery • Interpretable or scalable data analytics approaches • Application of data analytics and network science in narrative medicine • Computational methods for disease modeling and prediction • Ethical considerations in biomedical data analytics • Multimodal biomedical data analytics • Future trends and challenges in biomedical data analytics PROGRAM The workshop will take place on (To Be Announced). The program is not available yet. PAPER SUBMISSION – REGISTRATION AND PUBLICATION Please refer to socio.org.uk/ddp/ IMPORTANT DATES Submission of Papers: June 20, 2025 Notification of Acceptance/Rejection: July 15, 2025 Camera-ready: August 10, 2025 Registration: August 10, 2025 Conference Dates: August 18-20, 2025 Post-Conference Proceedings Release: November 30, 2025 WORKSHOP ORGANIZERs Chiara Zucco, University Magna Graecia of Catanzaro, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Marianna Milano, University Magna Graecia of Catanzaro, Italy PROGRAM COMMITTEE (TO BE CONFIRMED) Marzia Settino, University of Calabria, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy Contact: ddp@socio.org.uk _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Faoir.org%2F&data=05%7C02%7Cmegs%40leeds.ac.uk%7C3d97649b52e3470ab0b508dd82512a3e%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C0%7C0%7C638810007298321506%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=wOlnMqzoU7N4bAzKiSRvkXbeQQcgg%2BhtqW8X0l9t8Yc%3D&reserved=0<http://aoir.org/> Subscribe, change options or unsubscribe at: https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Flistserv.aoir.org%2Flistinfo.cgi%2Fair-l-aoir.org&data=05%7C02%7Cmegs%40leeds.ac.uk%7C3d97649b52e3470ab0b508dd82512a3e%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C0%7C0%7C638810007298339984%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=JvC%2FsOUscsG36v%2BWAncGbuUhigdMR4kVcT3NHMCf%2BnU%3D&reserved=0<http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org> Join the Association of Internet Researchers: https://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.aoir.org%2F&data=05%7C02%7Cmegs%40leeds.ac.uk%7C3d97649b52e3470ab0b508dd82512a3e%7Cbdeaeda8c81d45ce863e5232a535b7cb%7C0%7C0%7C638810007298359401%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=5yZj36DpYdgzIUf0WklRW6QgJ9M57E3kfIrLAvvVRv4%3D&reserved=0<http://www.aoir.org/>
participants (3)
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Gil Sharon -
ijwa＠dline.info -
Taylor Hardwick