Understanding the Web
This dashboard visualizes the relationship between student dropout rate and influencing factors using two key visual tools. The scatter plot illustrates the correlations between dropout rates and specific variables such as infrastructure, or teacher-student ratio, etc. The heatmap highlights how contributing factors vary across various regions in Karnataka. Together, these visuals help identify critical patterns and areas needing intervention.
You can select the variable for which you want to see correlation with wheat yield, from the dropdown menu.
If the p-value for a variable is less than 0.05, then that variable has a significant correlation with wheat yield.
It is found that the following factors have significant correlation with Wheat Yield
1. KCC(Kisan Credit Card) Distributed (+ve correlation)
2. Net Irrigated Area (+ve correlation)
3. NPK(Nitrogen Phosphorus Potassium fertilizer) Distributed (+ve correlation)
4. Regional Rural Bank Loans (+ve correlation)
You can select the variable for which you want to see correlation with rice yield, from the dropdown menu.
If p-value for a variable is less than 0.05, then that variable has significant correlation with rice yield.
It is found that the following factors have significant correlation with Rice Yield
1. Private Sector Bank Loans (+ve correlation)
2. Public Sector Bank Loans (+ve correlation)
3. NPK Distributed (+ve correlation)
4. Regional Rural Bank Loans (+ve correlation)
There are 3 components to the below dashboard:
In the Predictive Impact Analysis dashboard, we can see the impact of different factors on Student Drop-out Rate (SDR). We can intervene on a factor by selecting it from the dropdown menu and changing it by any amount (eg: +10% , -10%, etc) and we can see the corresponding changes in the rate at the district level.
In the Prescriptive modelling dashboard, we can set the target SDR and the model outputs the prescribed values of different factors to achieve the specified target SDR. We can also see the corresponding change in SDR at the district level by adopting these prescribed values of the factor. We can also see sensitivities of different factors which talks about the importance of the factor and it ranges from 0 to 1. If a domain expert deems a specific factor as unimportant, they can assign a sensitivity value of 0. For factors considered partially important, a sensitivity value of 0.5 can be assigned. If the expert believes the factor unquestionably plays a role, they have the option to set its sensitivity to 1.
In the prescriptive modelling dashboard itself, there is a box displaying the state stability score after an intervention. There is also a scatter plot showing the relation between impact and stability with districts represented as points.
Finally, the dashboard includes a feature for budget allocation. Positioned at the top is a pie chart derived from slopes obtained from multiple linear regression. The methodology systematically distributes the budget to address the requirements of various districts. Here, as well, we can see the sensitivities of the factors. If the policy maker/domain expert thinks that a particular factor plays no role, he can set its sensitivity value to 0 and the budget allocation model will automatically get re-adjusted.
17 July 2025. Srinath Srinivasa moderated an online panel discussion entitled, “The Future Faculty: Upskilling Educators for an AI-Driven World” organized by the Confederation of Indian Private Universities (CIPU) as part of their 5-part webinar series on AI in Higher Education.
14 July 2025. Srinath Srinivasa participated in the Bastille Day (French National Day) celebrations conducted by the French Consulate, at Bangalore, India.
30 June – 4 July 2025. Prof. Sakthi Balan from Shiv Nadar University, Chennai, visited WSL as part of a research collaboration.
30 June 2025. Srinath Srinivasa delivered a talk on “Responsible Autonomous AI” as part of the Faculty Development Program (FDP) on “Generative and Agentic AI” at the MIT-WPU University, Pune, in online mode.
27 June 2025. Srinath Srinivasa delivered a keynote address entitled “AI driven Narrative Spaces for Knowledge Management” at the Conference on Emerging Technologies in Computing and Communication, PES University, Bangalore.
24 June 2025. Srinath Srinivasa participated in the Microsoft Academic Summit conducted at Microsoft Research, Bangalore, India.
13 June 2025. Srinath Srinivasa delivered the Informatics Endowment Lecture entitled, “AI and Storytelling”, at the University of Mysore. This annual lecture series started in 2001, features distinguished researchers speaking on various aspects of Library and Information Management. This lecture was also covered in the local newspapers.
9 June 2025. Rohith Vaidyanathan successfully defended his MS thesis entitled, “Scalable Consent Management Mechanisms for Data Exchange in Digital Public Infrastructures”
16 May 2025 WSL members participated in one day semester-end WSL Research Workshop.
10 May 2025. Srinath Srinivasa participated in the Forttuna Global Excellence Awards Summit in Mumbai, and received the Global Excellence Award for innovations in Higher Education.
6 May 2025. Praseeda presented her Open Seminar for her PhD thesis titled “Understanding and Representing Diverse Assimilation Patterns of Learning”.
2-4 May 2025. Srinath Srinivasa participated as an invited speaker and panelist at the Vision Workshop for MIT-WPU Goa Campus, organised by MIT World Peace University, Pune.
30 April – 1 May 2025. WSL members organised and participated in the Sustainable Sandalwood Conference at Infosys, Mysore.
8, 22, 25 April 2025. Srinath Srinivasa participated as a selection committee member for the Use Case Challenge of NITI Aayog’s State Support Mission.
28-29 March 2025. Srinath Srinivasa participated as a jury member for Innovative Startups at the Shodh Shikar Summit at Rabindranath Tagore University (RNTU), Bhopal, India.
26 March 2025. Srinath Srinivasa participated as external thesis committee member in the PhD defense of Ms. Paramita Das, PhD scholar at IIT Kharagpur. Thesis defense conducted in online mode.
23 March 2025. IIITB nominated as Lead Knowledge Institution (LKI) by NITI Aayog as part of their State Support Mission, to promote evidence-based policy interventions using data science.
6 March 2025. Bhoomika A P successfully presented her PhD thesis proposal in the State of the Art talk titled “Event-Based Scene Understanding for Diverse Road Environments ”
27 Feb 2025. WSL hosted a visit by Dame Wendy Hall and Prof. Noshir Contractor from the Web Science Trust who interacted with the research scholars
15 Feb 2025. WSL hosted a delegation from the NITI for States team– an integrated platform NITI Aayog designed to foster learning, sharing, and action towards a “Viksit Bharat”.
13-14 Feb 2025. Srinath Srinivasa participated as a jury member at the SmartTech Asia Innovation awards.
8 Feb 2025. Srinath Srinivasa participated in a meetup organized by the Foundation of Data Privacy Professionals of India (FDPPI) and Trust Law, to discuss the draft regulations of the proposed Digital Personal Data Protection (DPDP) Act.
4 Feb 2025. Prof. Anjan Kr Dasgupta, retired professor from University of Calcutta, presented a talk titled ‘A Chemical Flavour of Networks’ organised by WSL. He later visited the lab and discussed various projects with all the research scholars.
30 Jan 2025. Srinath Srinivasa participated as a panelist in a panel discussion entitled “The City as Data” organized at the J N Tata Auditorium, IISc, by the World Design Organization
29 Jan 2025. Srinath Srinivasa delivered a webinar on Artificial Intelligence and Responsible Autonomy, that was jointly organized by CSI Chennai, IEEE Madras, and ACM Chennai.
17 Jan 2025. Srinath Srinivasa participated in the Experts Dialogues Session – Ecosystem Stewardship of the Sustainability Ambassadors Global Exchange (SAGE) program of the Echo Network India.
16 Jan 2025. Srinath Srinivasa participated in the UNESCO Stakeholder Consultation Workshop on Responsible AI, organized by UNESCO and Ikigai Law, at IIIT Bangalore.
13 Jan 2025. Srinath Srinivasa participated in a Workshop on Data Commons, organized by the UN Secretary-General’s Advisory Body on AI, Chaired by Dr. Pramod Varma, at the Takshashila Institution, Church Street, Bangalore, India.
Dr. Sushree S. Behera received her Doctoral degree from the School of Electrical Sciences, Indian Institute of Technology Bhubaneswar where she worked in the area of Biometrics and Computer Vision using Deep Learning. Prior to that she completed her MTech from the Department of Electrical Engineering, Indian Institute of Technology Indore. Before joining IIIT Bangalore, she worked as a Post- Doctoral Research Fellow at Jio Institute, Navi Mumbai, India, from April 2023 to November 2023. Her research interests lie in the fields of Biometrics, Computer Vision, Medical Image Analysis, Deep Learning, and Machine Learning.
| Project Title | Sponsoring Agency | Status |
| Generative AI-Driven Navigated Learning for STEAM Education | Gooru India Foundation for Learning Innovation | Ongoing 2024-2027 |
