Intervention Modeling Reference Document

Maize Production Intervention Modeling with NPK+20% Scenario Visualizations.

Note: The visualizations were created using Tableau Public. The embedded dashboards are provided for reference. Please click the listed titles to open each visualization in a separate tab.

Satellite Event of ACM WebSci Conference of WSTNet

Advancing the interdisciplinary study of the Internet, World Wide Web (WWW) and Artificial Intelligence (AI), and their impact on human lives.

WebSciX 2025 is co-located with the Symposium on Data for Public Good with a common registration portal. Registration for WebSciX enables registrants to also participate in the other tracks of the Symposium.

Registration link: https://dataforpublicgood.org.in/symposium-2025/symposium-2025-register/

  • Be among the FIRST 50 IIITB students to register and get your Symposium Pass absolutely FREE!
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  • Register now using: IIITB Student Registration.
  • Please bring your IIITB student ID card while attending the Symposium.

WebSciX India is a proposed satellite event of the ACM Web Science Conference, dedicated to advancing the interdisciplinary study of the Internet, World Wide Web (WWW), and Artificial Intelligence (AI) and their impact on human lives in India and surrounding regions. WebSciX builds upon the Web Science for Development (WS4D) series of events conducted in India since 2019.

WebSciX 2025 is a community-building workshop intended to build a strong core technical committee that can organize the annual WebSciX conferences. WebSciX 2025 is hosted as a co-located track at the Symposium on Data for Public Good, organized at IISc Bangalore, between October 14-15 2025.

Plenary session of WebSciX on October 14th is part of a series of plenary sessions scheduled as part of the Symposium on Data for Public Good. Refer to the link for details of other sessions.

WebSciX Agenda
10:1510:30Welcome Address
10:3011:10“How The Post Internet World Order has changed International Relations”
by Ambassador S. Swaminathan
11:1011:50Prof. Shalini Urs
11:5012:30“Data Exchange: the third leg of the DPI (Digital Public Infrastructure) stool” by Prof. Inder Gopal
12:3014:00LUNCH
14:0014:40“From Knowledge Bases to Narrative Spaces” by Prof. Srinath Srinivasa
14:4015:20“Modelling the Sources, Interventions, and Coordination in the Dynamics of Spread”
by Prof. Sakthi Balan
15:2016:00Prof. PK
16:0016:30TEA
16:3017:10Ms. Srijoni
17:1017:45Poster Session and Closed door meeting

Ambassador S. Swaminathan is a senior member of the Indian Foreign Service with over three decades of experience, having served in eight countries including Sri Lanka, Belgium, Pakistan, Malaysia, Vietnam, Germany, Brazil, and Iceland. His postings have included roles as Counsellor, Deputy Head of Mission, Minister, Consul General, and Ambassador of India, including India’s first resident Ambassador to Iceland and a tenure as Ambassador to Mongolia. His career has concentrated primarily on relations with India’s neighbours and economic diplomacy. In addition, he has had varied experiences in other areas including political, cultural, press and media relations, education, science and technology, renewable energy, defence, development assistance, HR etc.

Ambassador Swaminathan has worked extensively on bilateral relations with Sri Lanka, Pakistan, Bangladesh, Maldives, Afghanistan, and Iran, and has significant experience in the EU, EEA, and ASEAN regions. In Brazil, he served as Deputy Head of Mission in Brasilia and Consul General in Sao Paulo, contributing to the formation of IBSA and facilitating the India-Mercosur Framework Agreement. He has engaged with Heads of State, Cabinet Ministers, business leaders, and academicians, negotiating treaties, agreements, and investment deals, and promoting trade and technology transfers. His strengths include trade policy, investment promotion, technology transfer, renewable energy projects, and project implementation. He has also served as a UN Election Observer in South Africa (1994), participated in G-20 and IBSA ministerial meetings, led humanitarian missions, and overseen embassy and residence construction projects in Berlin, Kuala Lumpur, and Brasilia.

How the Post-Internet World Order has Changed International Relations

In today’s Internet-driven world, diplomats continue to perform their core functions, but the methods have fundamentally changed. Instant communication via email and the growing reliance on web-based platforms have transformed the management of diplomatic work.

This talk will explore the following areas:

  • Digital Diplomacy / E-Diplomacy:
    • How digital technology shapes the evolution of political and economic environments for diplomatic activities.
  • Internet as a Tool for Diplomacy:
    • The use of internet and social media in diplomacy.
  • Internet and AI’s impact on Diplomacy and Governance 
    • Enhanced decision making
    • Improved communication
    • Simulations for negotiation
    • Public Diplomacy
    • Economic forecasting
    • Trade strategy analysis
    • Visa and consular affairs
    • Human oversight and judgement in complex diplomatic negotiatons
    • Development assistance
    • Cultural relations

Prof. Inder Gopal is the CEO of the IUDX Program and an Industry Professor at the Indian Institute of Science (IISc). He previously served as Vice President of Software at Ericsson, where he led the launch of their edge computing initiatives. Before that, he was Vice President of Networking at IBM, where he had responsibility for all of IBM’s hardware and software networking products. He has also held senior leadership roles as Chief Architect at AT&T and Chief Technology Officer at Prodigy. An entrepreneur as well, he founded and successfully exited two venture-funded start-ups—ReefEdge and Iptivia—and continues to serve as an investor and board member in several companies.

Prof. Gopal was the Founding Chairman of OpenDaylight, a leading open-source networking software group that brought together dozens of top-tier companies. He has a distinguished research record with 20 patents and over 70 publications, along with two IBM Outstanding Innovation Awards earned during his time at the IBM T.J. Watson Research Centre. He has served as editor for several technical journals, was elected a Fellow of the IEEE, and holds a Ph.D. from Columbia University, New York, and a B.A. from Oxford University, England.

Data Exchange: the third leg of the DPI (Digital Public Infrastructure) stool

Dr. Shalini R. Urs is an internationally recognized academic leader and institution builder with over four decades of experience in higher education. She began her career at the University of Mysore in 1976 and retired in 2016, during which time she founded two pioneering academic institutions — the International School of Information Management (ISiM) at the University of Mysore and the MYRA School of Business in Mysuru.

Her expertise encompasses digital scholarship, digital libraries, ontology development, social network analysis, and the development of digital public infrastructures to advance open science. A pioneer of digital initiatives in India, Dr. Urs spearheaded the Electronic Theses and Dissertations (ETD) movement and established the Vidyanidhi Digital Library and eScholarship Portal, among other landmark projects.

She is a sought-after speaker on topics including digital scholarship, e-Science, open science, and social network analysis, and serves as a consultant to a variety of academic and research initiatives.

Dr. Urs has received numerous honors, including:

  • Mortenson Distinguished Lecturer, University of Illinois, Urbana-Champaign (2010)
  • NDLTD–Adobe Leadership Award (2004)
  • Emerald Research Fund Award (2007)
  • Fulbright Scholar (2000–2001)

Currently, she hosts InfoFire, a podcast series presented by Information Matters and ASIS&T. This pioneering hybrid format blends biography and scholarship, illuminating the personal, intellectual, and societal forces that shape the evolving information landscape. To date, she has published 27 episodes of the series.

Talk Abstract

Sakthi Balan is a Professor in the Department of Computer Science and Engineering, Shiv Nadar University Chennai, Kalavakkam – 603 100. He also serves as an external consultant to the Wadhwani School of AI, IIT Madras. Presently he is doing a collaborative funded project on Domain-Specific LLM with Prof. Ravindran Balaraman (IIT Madras) and his team. He has 7 years of corporate experience prior to his academic career. Sakthi Balan’s research interests lies in the broad areas of Web Science and Data Analytics. In specific, his interests include Social Network Analysis, Bias & Privacy in the Web, LLM and Action Recognition in Sports Videos. Previously, he has worked extensively in the field of Theoretical Computer Science. He has many publications in various International Journals, Conferences and peer-reviewed invited volumes. He has had many academic visits such as: (1) UWO, Canada (2002 and 2004 to 2008) (2) USF, Tampa, USA (2001) (3) EPFL, Lausanne, Switzerland (2003), (4) Hungarian Academy of Science, Budapest (2007), (5) RPI, Troy, USA (2017), (6) NUS & NTU Singapore (2023) and so on. He has guided 2 PhD students, 8 MTech students and 70+ BTech students. He has served as TPC member for COLING 2025, ASONAM 2024, ADCOM 2024, ACM WebSci 2024, and WI-IAT 2024. He has served as TPC member in ACM WebSci for the past three years. He has reviewed papers for Conferences such as AAAI ICWSM for the past four years and for LREC-COLING 2024, KDD 2021. Two of his works on Tracking in Indian News Websites presented and published in AAAI ICWSM 2021 and ACM WebSci 2021 has got featured in Open Magazine. More information can be found in https://sakthibalan.in. He can be contacted at sakthibalanm@snuchennai.edu.in.

Modelling the Sources, Interventions, and Coordination in the Dynamics of Spread

Spread of infection and information is a well-studied area. There are several models investigated in the literature. This talk will be presenting models of the spread on three factors – source of the spread, interventions and the coordination in the spread. We investigate the usage of a mass-action model, network-based model and social network concepts for the same. 

Prof. Srinivasa heads the Web Science Lab and serves as Dean (R&D) at the International Institute of Information Technology – Bangalore (IIITB), India. He holds a Ph.D. (magna cum laude) from the Berlin Brandenburg Graduate School for Distributed Information Systems (GkVI), Germany, an M.S. (by Research) from the Indian Institute of Technology – Madras (IITM), and a B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE), Mysore, India. His research focuses on Web Science, exploring how the World Wide Web affects humanity and how it can enable social empowerment and capability building.

Prof. Srinivasa has contributed to several initiatives in technology-enhanced education, including the Edusat program by Vishveshwaraiah Technological University, NPTEL, the Switzerland-based online MBA program Educatis, and IIITB’s educational outreach with UpGrad. He has served on technical and organizational committees for international conferences such as ICWSM, ACM Hypertext, COMAD/CoDS, ODBASE, BDA, and ACM Web Science. He has also served on Boards of Studies at Goa University and Christ University, as a member of the Academic Council at NIE Mysore, and as a technical reviewer and associate editor for journals including VLDB Journal, ACM Computing Surveys, Springer AI Ethics, IEEE TKDE, IEEE TCC, and Sadhana. He is the recipient of numerous national and international grants and awards from organizations such as EU Horizon 2020, UK Royal Academy of Engineering, Research Councils UK, MeitY, DST, Siemens, Intel, Mphasis, EMC, and Gooru. He has also led the AI initiative for the “Karnataka Data Lake” project by the Planning Department of the Government of Karnataka, promoting data- and evidence-based planning and decision-making.

Talk Abstract

UP – Urban – Secondary Dropouts

Schools which teach class 6 – 8 in Urban Uttar Pradesh were considered

Based on the analysis, the following are deduced:

Lower Dropouts Higher Dropouts
Higher percentage of Private SchoolsHigher percentage of Minority Schools
Hindi as medium of instructionUrdu as medium on instruction
Good ClassroomsTeachers who are not graduates

In some of these factors, the heatmaps of dropout and factors are very similar, in some the visual difference in not striking, hence we have also included a scatter plot which displays the effects of the factor

UP – Rural – Secondary Learning Outcomes

Schools which teach class 6 – 8 in Rural Uttar Pradesh were considered

Based on the analysis, the following are deduced:

Better Learning Outcomes Lower Learning Outcomes
Good ClassroomsHindi medium
Schools with ElectricitySchools with lower internet connectivity
Any female above yrs of age having attended schoolMore Government Schools

In some of these factors, the heatmaps of dropout and factors are very similar, in some the visual difference in not striking, hence we have also included a scatter plot which displays the effects of the factor

UP – Rural – Secondary Drop out

Schools which teach class 6 – 8 in Rural Uttar Pradesh were considered

Based on the analysis, the following are deduced:

Lower Dropout Higher Dropout
Classrooms in Good conditionFrom districts with lower GDDP/ GSDP
Higher percentage of Female teachersTeachers Qualification Below Graduate
English medium as first languageHindi medium as First Language

In some of these factors, the heatmaps of dropout and factors are very similar, in some the visual difference in not striking, hence we have also included a scatter plot which displays the effects of the factor

District wise infographics

We also have a district wise sensitivity – so as to enable bird’s eye view of the major contributing factors in each district

Uttar Pradesh – Rural Primary – Learning Outcomes

Schools which teach class 3 – 5 in Rural Uttar Pradesh were considered

Based on the analysis, the following are deduced:

Better Learning OutcomeLower Learning Outcome
Regular Government TeachersChildren who are under weight
Any Female above 6 years ever attended schools Children who are stunted
Classrooms in good conditionMore enrollment in Government Schools

In some of these factors, the heatmaps of dropout and factors are very similar, in some the visual difference in not striking, hence we have also included a scatter plot which displays the effects of the factor

उत्तर प्रदेश

शिक्षण की गुणवत्ता और ड्रॉपआउट दोनों को संबोधित करके शैक्षिक परिणामों का रूपांतरण

डेटा विश्लेषण का दायरा

2 मिलियन से अधिक डेटा पॉइंट्स का विश्लेषण, जिनमें शामिल:
• 75 ज़िले
• 2.55 लाख विद्यालय
• 5.76 करोड़ छात्र
• अनेक डेटा सेट, जैसे UDISE, NFHS, SECC, ASER, यूपी सांख्यिकी

भाषाई परिदृश्य
उत्तर प्रदेश की प्रमुख बोलियाँ हैं — अवधी, बघेली, भोजपुरी, ब्रज भाषा, बुंदेली, खड़ी बोली, और कन्नौजी।

जनसांख्यिकीय और आर्थिक मुख्य बिंदु

  • अनुमानित जनसंख्या: 24 करोड़, जिनमें 70.6% ग्रामीण क्षेत्रों में
  • 2023–24 के लिए अनुमानित GSDP: ₹27,000 करोड़

माध्यमिक शिक्षा में कम ड्रॉपआउट दर के शीर्ष 3 कारण
ग्रामीण क्षेत्र:

  1. कक्षा VI–VIII में बेहतर सीखने के परिणाम
  2. महिला शिक्षकों का अधिक प्रतिशत
  3. प्रथम भाषा के रूप में अंग्रेज़ी माध्यम

शहरी क्षेत्र:

  1. निजी (अनएडेड) स्कूलों का अधिक प्रतिशत
  2. अच्छे कक्षाओं का बेहतर प्रतिशत
  3. प्रथम भाषा के रूप में हिंदी माध्यम

माध्यमिक शिक्षा में अधिक ड्रॉपआउट दर के शीर्ष 3 कारण
ग्रामीण क्षेत्र:

  1. प्रथम भाषा के रूप में हिंदी माध्यम
  2. शिक्षकों की योग्यता स्नातक से कम
  3. सरकारी स्कूलों का अधिक अनुपात

शहरी क्षेत्र:

  1. प्रथम भाषा के रूप में उर्दू माध्यम
  2. शिक्षकों की योग्यता स्नातक से कम
  3. अल्पसंख्यक स्कूलों की अधिक संख्या

बोली के अनुसार ग्रामीण प्रगति के पैटर्न

खड़ी बोलीभाषी ज़िले (पश्चिमी यूपी): ग्रामीण क्षेत्रों में मजबूत सीखने के परिणाम लेकिन शहरी क्षेत्रों में ड्रॉपआउट का अधिक जोखिम, संभवतः औद्योगिकीकरण और नौकरी पलायन के कारण।

भोजपुरीभाषी ज़िले (पूर्वी यूपी): ग्रामीण क्षेत्रों में मजबूत सीखने के परिणाम लेकिन शहरी क्षेत्रों में ड्रॉपआउट अधिक, संभवतः शिक्षा या रोजगार के लिए शहरी क्षेत्रों या अन्य राज्यों में पलायन के कारण।

अवधी भाषी ज़िले : राज्य के लगभग मध्य भाग में स्थित, जिसमें कानपुर, लखनऊ, अयोध्या, प्रयागराज जैसे शहरी मिश्रण वाले क्षेत्र शामिल हैं। ग्रामीण क्षेत्रों में औसत सीखने के परिणाम दिखाई देते हैं, लेकिन शहरी क्षेत्रों में यह प्रवृत्ति काफी सुरक्षात्मक है, जहाँ अनेक निजी शैक्षणिक संस्थान और सरकार द्वारा प्रदत्त मजबूत शैक्षिक अवसंरचना मौजूद है।

UP – Rural Primary Schools – Dropout

Schools which teach class 3 – 5 in Rural Uttar Pradesh were considered

Based on the analysis, the following are deduced:

Lesser Dropout rates were absorbed in the following:

Less Dropouts More Dropouts
Schools with good ClassroomsChildren who are stunted
More Female teachersDistricts which have low GDDP / GSDP
English as medium on instructionMore Government Schools

In some of these factors, the heatmaps of dropout and factors are very similar, in some the visual difference in not striking, hence we have also included a scatter plot which displays the effects of the factor

SDG 4: Quality Education


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.

Predictive Impact Analysis – Wheat Yield

Wheat Factors

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)

Predictive Impact Analysis

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