{"id":706,"date":"2025-10-31T12:30:49","date_gmt":"2025-10-31T11:30:49","guid":{"rendered":"https:\/\/blogg.lnu.se\/disa\/?p=706"},"modified":"2025-10-31T12:30:50","modified_gmt":"2025-10-31T11:30:50","slug":"welcome-to-the-higher-research-seminar-in-november","status":"publish","type":"post","link":"https:\/\/blogg.lnu.se\/disa\/?p=706","title":{"rendered":"Welcome to the Higher Research Seminar in November"},"content":{"rendered":"\n

When?<\/strong>\u00a0Friday November 14, 14-16
Where?<\/strong>\u00a0Onsite: D2273 and via zoom<\/p>\n\n\n\n

Agenda<\/strong>
14.00-14.10 Welcome and practical information
14.10-14.55 Presentation and discussion:\u00a0
Artificial \u2018ulama – Analyzing AI-Generated Islamic Theology –\u00a0Jonas Svensson\u00a0<\/em><\/strong>
14.55 \u2013 15.05 Coffee break
15.05 \u2013 15.50 Presentation and discussion:\u00a0\u00a0
Socio-Technical Considerations on Inter- and Intra-Organizational Sustainability Data Sharing –\u00a0Anna Sell\u00a0\u00a0<\/em><\/strong>
15.50 -16.00 Sum up and plan for our seminars in December<\/p>\n\n\n\n

Abstracts
Artificial \u2018ulama – Analyzing AI-Generated Islamic Theology<\/strong> – Jonas Svensson <\/em><\/strong>
The presentation provides information on, and preliminary findings from my research project Artificial \u2018Ulama, examining how artificial intelligence systems produce Islamic theological content. The study focusses on how modern Large Language Models interpret and respond to prompts based on Islamic texts, concepts, and interpretational frameworks.<\/p>\n\n\n\n

The presentation will focus preliminary results on having LLMs translate and interpret the Qur\u2019an, produce views on \u00a0inter religious dialogue and producing synthetic data.\u00a0<\/p>\n\n\n\n

\n\n\n\n

Socio-Technical Considerations on Inter- and Intra-Organizational Sustainability Data Sharing<\/strong> – Anna Sell <\/strong>
In response to new sustainability reporting requirements, such as the EU Corporate Sustainability Reporting Directive (CSRD), companies are increasingly expected to collect and share sustainability data, not only within their own operations but across entire supply chains. Most manufacturing companies operate in multiple supply chains and must adapt to the varying data requirements of each. The cross-organizational scope, unclear data expectations and lack of standardization make sustainability data particularly challenging to work with. Internally, companies\u2019 existing data infrastructures and reporting capabilities are tailored to traditional business data, making them ill-suited for the complex and heterogeneous nature of sustainability data. In this research we explore the paradoxes and barriers that companies must navigate in order to move from compliance-driven reporting to value-creating use of sustainability data. \u00a0<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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