Intersections 2024 Workshops

You must first register for the conference before signing up for the workshops. Registration for workshops is open until September 20th. The workshops will only be held if a minimum of 5 participants have registered. Please note that registration is on a first come, first served basis. Your spot will be reserved only after paying the workshop registration fee.

Proceed to review the three available workshops listed below and identify the one most aligned with your specific requirements. As the workshops will be held at the same time, you may only choose one of them to attend. After completing the registration form, the payment link will be available in the confirmation message. If you’ve registered for one of the workshops but haven’t paid the fee yet, you can do so by clicking the button below.

Maximum seats available: 20.

Workshop fee: 50 RON.

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Attendees will learn about various AI tools, including OpenAI's GPT models, Claude from Anthropic, and Google’s Gemini, among others. The basics of prompting will be introduced to help participants understand how to interact with AI effectively. One of the highlights is a live demonstration on training a custom GPT model, showcasing how AI can be tailored to write articles in specific styles.

This hands-on session aims to demystify the process of working with AI for content creation. The workshop will also explore AI's potential for students, focusing on how these tools can aid in course preparation, exam preparation, and writing papers. Ethical considerations in AI use will also be addressed.

For teachers, the workshop will demonstrate how AI can assist in creating lecture content, slides, and assignments, emphasizing the ease of integrating AI into the educational workflow. Researchers will benefit from learning how AI can streamline literature reviews, draft research hypotheses, and boost overall productivity. Towards the end, the discussion will highlight the competitive advantages AI brings to academia, particularly for institutions with limited funding, enhancing research and teaching capabilities.

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Engaging in digital daily activities results in the generation of substantial volumes of data. Consequently, with the increases in data storage and analytical capabilities, along with progress in machine learning, new opportunities are emerging in social sciences research. Computational social sciences refer to an interdisciplinary domain that uses computational methods on extensive datasets to enhance our understanding of human behaviour (Edelmann et al., 2020). While not as well- established in academia as fields such as biology or physics (Lazer et al., 2020), the computational power linked to social research is increasing interest among sociologists and other social scientists (Edelmann et al., 2020). The societal and scholarly worth of computational social science, which operates within an open academic setting, for comprehending individuals and groups in both their physical and digital existences, is unquestionable. However, there are substantial barriers that impede the development of computational social science.

Within this framework, we extend an invitation to participate in a discussion regarding the challenges and prospects of implementing computational social science in Romania. How can social scientists produce and access big data given that such endeavours are costly and usually handled by transnational tech corporations, often infringing on personal data ethical considerations? How can the increased institutional distance between social science departments and engineering and computer science departments (Lazer et al., 2020) be lessened? What strategies can Romanian academics employ to make the most of available resources and develop new capabilities to educate new scholars in computational social sciences?

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