Description

In this course, the students will work on a complex research-related project, which requires competences from several areas of visual computing (CMS-VC-TEA) or life sciences (CMS-CLS-TEA). The project requires literature research and the use of scientific information sources. The students solve in a group (2-4 persons, depending on the topic and amount of registrations) a complex, typically interdisciplinary task where both 1) professional competence is deepened and 2) extensive methodological and social skills in project management and teamwork are trained.

Enrolment

Please enroll to OPAL and inspect the enrollment instructions.
In short, registration to Selma and confirmation via email are necessary.
OPAL enrollment is needed to receive updates during the semester.

Important Links:

Topic: AI-Powered Data Storytelling

Data storytelling is the art of transforming complex data into accessible, memorable, and actionable insights by weaving together data, narrative, and visuals. Data stories are projected to be the primary way analytics are consumed, with AI-generated narratives becoming mainstream. With the introduction of Generative AI, it is easy to generate domain and medium specific data stories, efficient, and accurate. Data stories have applications in many domains: marketing, journalism, public health, education, finance, policy making etc., We will integrate Artificial Intelligent Agents to generate data stories. We will compare Human written data story and LLM generated data story in terms of humanness, comprehension and emotional connect.

The expected deliverables are:

  • A report on the analysis ont he topic of AI generated Data stories and their emotional impact on the user. A detailed analysis of tools that have implemented AI generated data stories.
  • An Interafce for comparison of human written and AI generated storytelling. Implementation of General LLM for story generation and Agentic AI for emotional enhancement of the story.
  • An Evaluation of the interface (could be metric based of user study based).

Proposed Schedule

Date Location Description
April 20th, 10:00 BigBlueButton Introductory Meeting
May 10th, 23:59 OPAL Deadline for Enrollment
from April 26th – Start of the project work
June 22nd, 13:00 BigBlueButton Interim presentations
August 10th 2042 Final project presentations
August 16th via email Deadline for submission of project report and code

Individual group meetings should be arranged in case of need via email Susmita Khadse.