WS4D Research Workshop


0900-0915Inauguration and Address by Dean (Academics) Prof. R Chandrashekar
0915-1015Keynote – 1: Speaker: Dame Wendy Hall, Web Science Institute
1015-1045Invited Talk – 1: Speaker: Prof. Bidisha Chaudhuri, IIIT Bangalore
1045- 1115Invited Talk – 2: Speaker: Prof. Jaya Sreevalsan Nair, IIIT Bangalore
1115-1130Tea Break
1130-1200Invited Talk – 3: Speaker: Jai Ganesh, Mphasis Inc.
1200-1230Invited Talk – 4: Speaker: Sabu Padamdas, University of Southampton 
1230-1300Invited Talk – 5: Speaker: Nandan Sudarsanam, IIT Madras
1300-1400Lunch Break
1400-1500Keynote – 2: Speaker: Noshir Contractor, Northwestern University 
1500-1515Tea Break
1515-1545Invited Talk – 6: Speaker: Pauline Leonard, Web Science Institute
1545-1615Invited Talk – 7: Speaker: Srinath Srinivasa, IIIT Bangalore
1615-1645Invited Talk – 8: Speaker: Pathik Pathak, University of Southampton
1645-1700Report on Brave Conversations: Speaker: Anni Rowland-Campbell, University of Southampton
1700-1730High Tea and Closing

Talk and Speaker Details

Dame Wendy Hall

Dame Wendy Hall, DBE, FRS, FREng is Regius Professor of Computer Science, Pro Vice-Chancellor (International Engagement), and is the Executive Director of the Web Science Institute at the University of Southampton. Dame Wendy was co-Chair of the UK government’s AI Review, which was published in October 2017, and has recently been announced by the UK government as the first Skills Champion for AI in the UK.

With Sir Tim Berners-Lee and Sir Nigel Shadbolt she co-founded the Web Science Research Initiative in 2006 and is the Managing Director of the Web Science Trust, which has a global mission to support the development of research, education and thought leadership in Web Science.

She became a Dame Commander of the British Empire in the 2009 UK New Year’s Honours list, and is a Fellow of the Royal Society.

She has previously been President of the ACM, Senior Vice President of the Royal Academy of Engineering, a member of the UK Prime Minister’s Council for Science and Technology, was a founding member of the European Research Council and Chair of the European Commission’s ISTAG 2010-2012, was a member of the Global Commission on Internet Governance, and until June 2018, was a member of the World Economic Forum’s Global Futures Council on the Digital Economy.

Noshir Contractor

Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communication and the Kellogg School of Management and Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University.  

Professor Contractor has been at the forefront of three emerging interdisciplines: network science, computational social science and web science. He is investigating how social and knowledge networks form – and perform – in contexts including business, scientific communities, healthcare and space travel.  His research has been funded continuously for 25 years by the U.S. National Science Foundation with additional funding from the U.S. National Institutes of Health, NASA, DARPA, Army Research Laboratory and the Bill & Melinda Gates Foundation. 

His book Theories of Communication Networks (co-authored with Peter Monge) received the 2003 Book of the Year award from the Organizational Communication Division of the National Communication Association.  He is a Fellow of the International Communication Association (ICA), the American Association for the Advancement of Science (AAAS), and the Association for Computing Machinery (ACM).  He also received the Distinguished Scholar Award from the National Communication Association and the Lifetime Service Award from the Organizational Communication & Information Systems Division of the Academy of Management. In 2018 he received the Distinguished Alumnus Award from the Indian Institute of Technology, Madras where he received a Bachelor’s in Electrical Engineering. He received his Ph.D. from the Annenberg School of Communication at the University of Southern California.  

Jai Ganesh

Dr. Jai Ganesh is the Senior Vice President and Head of Mphasis NEXTLabs. He is a Product and Service Innovation leader with extensive experience in inventing, conceptualizing, building and commercializing successful technology product and service innovations. Under his leadership, NEXTLabs has created several global award-winning solutions, products and service offerings. Recent awards won include AIconics 2017 for ‘Best application of AI in Financial Services’ and Business Intelligence Group’s ‘2018 Stratus Awards for Cloud Computing’. Jai consults and co-creates with leading global corporations to formulate their digital transformation strategy and build advanced AI driven solutions. He focuses on applied research and innovation in areas such as Data Science, Social Network Analysis, Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Cloud Computing and Automation. Jai is a prolific inventor with several granted patents as well as publications in leading peer reviewed journals and conferences. He is a PhD from Indian Institute of Management Bangalore (IIMB) and also has an MBA. Jai is a recipient of the Chevening Rolls-Royce Science and Innovation Fellowship at the University of Oxford.

Sabu Padamdas

Professor Sabu S. Padmadas is Associate Dean (International) of the Faculty of Social Sciences, Professor of Demography and Global Health, and Founding Co-Director of the Centre for Global Health, Population, Poverty and Policy (GHP3) at the University of Southampton.

Padmadas obtained a PhD degree in Demography in 2000 from the Faculty of Spatial Sciences of the University of Groningen in The Netherlands, an MSc degree in Demography in 1995 and a BSc degree in Mathematics with Statistics and Physics in 1992 from the University of Kerala in India, and a Postgraduate Certificate in Academic Practice in 2006 from the University of Southampton. Padmadas joined the University of Southampton as a Lecturer in Demography in 2002 after completing a two-year term as post-doctoral fellow of the Dutch Royal Academy of Sciences at the University of Groningen. He is currently a Fellow of the UK Higher Education Academy, and an honorary Senior Research Fellow at the China Population & Development Research Centre, a think-tank attached to the National Health Commission of the People’s Republic of China.  

His research interests focus broadly on population dynamics and the application of demographic analysis and statistical modelling of global health and wellbeing outcomes in low-middle income and transition economies. He has international expertise in programme impact evaluation and quantitative demography using census and survey data including calendar data, life course and birth history analyses, and population projections. The specific areas of his research cover a broad spectrum of challenging population health topics including: family planning, reproductive and child health, inequalities in health and healthcare outcomes, nutrition, life course epidemiology, population health policies and social determinants of disease outcomes. The journey to his multidisciplinary research career began with the publication of his doctoral thesis entitled ‘Intergenerational Transmission of Health: Reproductive Health of Mother and Child Survival in Kerala, South India’ – and inspired by his mentors: Professor Frans Willekens, Professor Inge Hutter and Professor PS Nair. 

A significant achievement of Padmadas’ academic career is the research spanning over a decade (since 2003) evaluating three cycles of the United Nations Reproductive Health and Family Planning programme in China, which generated high impact and policy response at the national level. This was a high profile collaborative programme with the then National Population and Family Planning Commission and the Ministry of Health of the People’s Republic of China, and the United Nations Population Fund (UNFPA). Padmadas has an excellent track record of successful research grants funded by the UK and International Research Councils, British Academy, UK Department for International Development, UK Royal Society, International Development Research Centre (Canada), Ministry of Foreign Affairs and Norway Agency for Development Cooperation (NORAD), United Nations and the World Health Organisation. He has published over 70 peer-reviewed articles in international journals, and has served as referee for research councils and for over 30 leading international journals. Over the years, his research has attracted attention from governmental and international think-tank agencies, policy decision-makers and other international media including BBC World Services and New York Times. 

Nandan Sudarsanam

Dr. Nandan Sudarsanam has domain expertise in the areas of finance, demographic and experimental data (across different engineering disciplines). The primary area of research for Nandan is in experimentation and machine learning, with a specific focus on algorithmic approaches in these fields. During his PhD from MIT, he created new algorithms for experimentation, as well as the creation of meta-models from data which could be used to simulate the performance of various experimental algorithms. He has applied his techniques to various industries including commercial banking (Bank of America – Boston), automotive (Ford Motor Company – Detroit), manufacturing (Brakes India – Chennai), and over the last five years in high-frequency algorithmic trading (with Rackson Asset Management – New York). During his last stint as the Head of research at Rackson Asset Management, he has worked with large data sets and deployed data analytic techniques which lead to highly profitable trading strategies

Pauline Leonard

Professor Pauline Leonard is Professor of Sociology and Director of the Web Science Institute at the University of Southampton. She is a Fellow of the Academy of Social and of the Royal Society of Arts.  

Pauline’s principle research interests are in diversity and work and she has published widely on gender and organisations, race and professional migration, age, employability and careers.

Srinath Srinivasa

Srinath Srinivasa heads the Web Science lab and is the Dean (R&D) at IIIT Bangalore, India. Srinath 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 IIT-Madras and B.E. in Computer Science and Engineering from The National Institute of Engineering (NIE) Mysore. He works in the area of Web Science — that models of the impact of the web on humanity. Technology for educational outreach and social empowerment has been a primary motivation driving his research. He has participated in several initiatives for technology enhanced education including the VTU Edusat program, The National Programme for Technology Enhanced Learning (NPTEL) and an educational outreach program in collaboration with Upgrad.  He is a member of various technical and organizational committees for international conferences like International Conference on Weblogs and Social Media (ICWSM), ACM Hypertext, COMAD/CoDS, ODBASE, etc. He is also a life member of the Computer Society of India (CSI). As part of academic community outreach, Srinath has served on the Board of Studies of Goa University and as a member of the Academic Council of the National Institute of Engineering, Mysore. He has served as a technical reviewer for various journals like the VLDB journal, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Cloud Computing. He is also the recipient of various national and international grants for his research activities.

Pathik Pathak

Dr. Pathik Pathak is Faculty Director of Social Entrepreneurship and Founding Director of the Social Impact Lab at the University of Southampton.

He is passionate about innovation in higher education, and has pioneered the use of challenge-based education.

As Founding Director of the multi award-winning Social Impact Lab he leads the University’s international work on social entrepreneurship. This includes leading a team which delivers a range of activities for our students, including the Social Enterprise module, Spark India, the Social Impact Leaders Speaker Series, our Placements scheme, our in-house Ventures and mentoring start-up social entrepreneurs.

As a result of his work in social entrepreneurship education, he has been made a Fellow of the Royal Society of Arts and was awarded the Mahatma Gandhi Pravasi Samann in 2015 for outstanding contributions to education.

Jaya Sreevalsan Nair

Professor Nair obtained her Ph.D. in Computer Science from University of California, Davis; after a B.Tech in Aerospace Engineering from IIT-Madras and an M.S. in Computational Engineering from Mississippi State University. Prior to joining IIITB, she worked as a scientific programmer at Enthought Inc. Austin and as a research associate at Texas Advanced Computing Center, the University of Texas at Austin. Her areas of interest are visualization, scientific computing, computer graphics, and computational geometry.

She leads the  Graphics-Visualization-Computing Lab at IIITB. She is also the core team member of the E-Health Research Center at IIITB. 

Bidisha Chaudhuri

Bidisha Chaudhuri is an Assistant Professor in the domain of IT and Society. She received her PhD from South Asia Institute at Heidelberg University, Germany. She completed an M.A in Sociology from Delhi School of Economics, University of Delhi and a Joint European Masters in Global Studies from University of Leipzig (Germany) and Vienna University (Austria). She has worked in research institutions and developmental organizations in India and abroad. Prior to joining IIITB, she worked as a Postdoctoral Research Associate at ISEC, Bangalore. Her current research projects include, information systems for sustainable development, conversational agents in everyday practices, politics of algorithms, gender and ICTs, political economy of digital identity and sociology of work and automation.

WS4D 2020: Safecity Datathon

Call for Participation 


February 14, 2020 at IIIT Bangalore

Register HERE

IIIT Bangalore in collaboration with Web Science Trust (WSTNet), Red Dot Foundation, and the University of Southampton Social Impact Lab, is organizing a data visualization hackathon/datathon on Friday, February 14, 2020. The datathon is supported by the Web Science Lab (WSL), Graphics-Visualization-Computing Lab (GVCL), and the Center of Information Technology and Public Policy (CITAPP).

The objective of this datathon is to build awareness and inspire a call for action towards the safety of women in India and the mitigation of gender-based crime in the country. There are several hidden stories that are finding their way out slowly and boldly. We would like to make these narratives visible using creative visualizations. We invite students, pursuing undergraduate or graduate degree programs, in a group of two to participate in the event to demonstrate their interdisciplinary data science skills and social science knowledge for creating visual narratives for data sets capturing these stories. Ideally, each team should consist of participants with a background in visualization tools and relevant social sciences. The themes of the datathon highlight creative ways of using data to debunk popular myths surrounding women’s safety in India, integrating heterogeneous data sources to make meaningful analysis, and comparing the situation in India with the rest of the world.

It is a day-long event where students will engage in the tasks of defining a set of problems, choose algorithms/techniques/tools appropriate to address the problem, coding and implementation of the tools and presentation of results, inferences, and demo.

The details of the datathon, about dataset(s) and challenge, are available here.

A pdf version of the Call for Participation for the Safecity Datathon can be downloaded from here.

Agenda for the datathon on February 14, 2020:

09:00 am- 10:00 am: Desk Registration 

10:00 am- 10:30 am: Debrief on the datasets and the challenge 

10:30 am-11:00 am: QnA and finalization of themes for each team

11:00 am- 03:00 pm: Datathon, including lunch break and tea-break

03:00 pm- 05:00 pm: Presentation of solution by the teams (5-10 minutes each team)

05:00 pm- 05:15 pm: Judges discussion

05:15 pm- 06:00 pm: Prize announcements and closing remarks

To register, click on the link below:

Important Dates

Last date of registration 11.02.2020

Notification sent to shortlisted teams: 12.02.2020

Datathon: 14.02.2020


First Prize: Vouchers worth 3k

Second Prize: Vouchers worth 2k

Third Prize: Vouchers worth 1k

For further queries:

Niharika Sri Parasa

Niharika is a full-time MS by research student at Web Science Lab.
She has 3 years of industry experience in RPA, building virtual bots using the UiPath tool. She holds a Bachelors’s degree in Civil engineering from VRSEC.
Her research interests are Computational Cognition, Network Science for Web, Natural Language Processing, Machine Learning, and Deep learning techniques.
To know more, please visit her  LinkedIn profile.
Associated Research Projects :
Publications :

Shyam Kumar V N

Shyam is a Part-time MS by Research student at Web Science Lab, IIIT Bangalore. He holds a PG Diploma in Data Analytics from IIIT Bangalore & UpGrad and a B.E in Computer Science and Engineering from VTU. He has around 6.5 years of industry experience and has worked in Hewlett Packard Enterprise (now DXC Technologies) as a Data Engineer and is currently employed at Societe Generale Global Solution Centre. He works in the areas of Data Warehousing, Big Data & Analytics, Machine Learning.

His research interests are Natural Language Understanding, Natural Language Processing, Knowledge representation and management, Data Governance.

For more, please visit his LinkedIn profile.


  1. Shyam Kumar V N, Chaitali Diwan, Srinath Srinivasa and Prasad Ram. Creating Navigable Competency Maps from Learning Resource Corpora. International Conference on Data Science and Management of Data (CODS-COMAD) 2021, Bangalore, India, January 2-4, 2021.
  2. Sharath Srivatsa, Shyam Kumar V N, Srinath Srinivasa. The Story Of Computational Narratology. In Quaterly Publication of  “Advanced Computing and Communications Society” (ACCS), December, 2018.

Prakhar Mishra

Prakhar Mishra is a Full-time MS by Research student at WSL, IIIT-Bangalore. He holds a bachelor’s degree in CSE from The LNM Institute of Information Technology, Jaipur. He has a total industry work experience of 3 years in the field of Data Science, particularly in NLP and Text Analytics. His areas of interest include Unsupervised Learning, Natural Language Understanding, and Generation. He also owns a Blog and Youtube channel which you can find here and here respectively.

For more, please visit his LinkedIn profile.


  1. Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G.Srinivasaraghavan. Automatic Title Generation for Text with Pre-trained Transformer Language Model. 15th IEEE International Conference on Semantic Computing
  2. Lalingkar, A., Mishra, P., Mandyam, S., Pattanayk, J. and Srinivasa, S. (2020), Building a Model for Finding Quality of Affirmation in a Discussion Forum, In Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE
  3. Song year prediction using Apache Spark published in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Aparna Lalingkar

Aparna is a postdoctorate research fellow in Web Science Labs. She is working on social learning paradigm of Navigated Learning. Along with her research, she is working as research program manager for Mphasis CoE for Cognitive Computing. For a year she had also worked as a research project manager on Gooru project. Before joining Web Science labs, She was a postdoctorate research fellow at University of Haifa, Israel under the fellowship of Planning and Budgeting Commission of Israeli Higher Education.

She is a mathematician and educational technologist with PhD in Information Technology. For PhD she had proposed an ontology for teaching problem solving in mathematics. Her research interest include: application of Information Technology to Education specifically mathematics and science education, application of semantic web technology to education, ontological engineering and management, online assessment, automation of applications, educational technology and management.

She earned an MPhil in math education research from Cambridge University, UK and have received several academic fellowships and awards including HP Labs fellowship for PhD, DFID & CCT fellowship for MPhil.

She has wide range of teaching and work experience. She has taught to tribal students as well as intellectually gifted students. She has also taught graduate level and master’s level students. During PhD at IIITB, she has mentored MTech students for some projects.

She  is also interested in social work, Indian culture and ancient Indian knowledge. She has worked as a Sevavrati for Vivekanand Kendra in the North Eastern region of India. She had worked as a joint secretary for Vivekanand Kendra Pune and during her association with VK, she had organized youth camps, personality development camps, conducted workshops and delivered lectures on life and work of Swami Vivekananda. She is a voracious reader in both Marathi and English and write regularly blog articles as well as articles in newspapers and magazines in Marathi and some times in English.

Her LinkedIn profile can be accessed here

Her ResearchGate profile can be accessed here

Publications: (Publications can be downloaded from my ResearchGate profile)

Journal Publications:

  1. Aparna Lalingkar, Srinath Srinivasa, PrasadRam (2019), Characterization of Technology-based Mediations for Navigated Learning, Advanced Computing and Communications, Vol 3 (2), June 2019, ACCS  Publications, pp. 33-47. (Paper Link)
  2. Lalingkar, A. (2017). Applet Ontology as a Tool for Automatic Assessment of Applet-based Assessment Tasks, Journal of Computers in Education, Vol 5 (1), Dec 2017.  (Cited by 2 as per GoogleScholar citation index) (Paper Link )
  3. Lalingkar, A.; Chandrashekar, R. & Ramani, S. (2015). MONTO: Machine Readable Ontology for Teaching Word Problems in Mathematics, Journal of Educational Technology and Society, Vol 18 (3), July 2015, pp. 197-213. (SSCI indexed journal with 5-year impact factor of 1.34 as per Thomson Scientific Journal Citations Reports, and with Google Scholar h5-index of 39) (Cited by 6 as per GoogleScholar) (Paper Link )
  4. Lalingkar, A.; Chandrashekar, R. & Ramani, S. (2014). Ontology-based Smart Learning Environment for Teaching Word Problems in Mathematics, Journal of Computers in Education, 1 (4), December 2014, Springer, pp. 313-334. (Cited by 11 as per GoogleScholar citation index) (Paper Link )
  5. Lalingkar, A. (2007). Comprehensive Review of Research in Comparative Education, Perspectives in Education, Vol 23 (3), October 2007, PP. 249-257. (Paper Link)
  6. Lalingkar, A. (2007). Comparison of geometry curricula with respect to objectives and content in India and England for the age group 14 to 16 years, Perspectives in Education, Vol 23 (2), April 2007, pp. 122-129. (Paper Link)

Conference Publications:

  1. Lalingkar, A., Mishra, P., Mandyam, S., Pattanayk, J. and Srinivasa, S. (2020), Building a Model for Finding Quality of Affirmation in a Discussion Forum, In Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE, 6th July to 9th July, Turtu, Estonia (Digital Conference). (Paper Link)
  2. Lalingkar, A.; Srinivasa, S. & Ram, P. (2018). Deriving Semantics of Learning Mediations, In Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE, pp. 54-55. (Cited by 1 as per GoogleScholar citation index) (Paper Link)
  3. Lalingkar, A.; Chandrashekhar, R. & Ramani, S. (2014). Ontology-based Smart Learning Environment for Teaching Word Problems in Mathematics, In G. Chen, V. Kumar, Kinshuk, R. Huang & S. C. Kong (Eds) Emerging Issues in 3 Smart Learning, Lecture Notes In Educational Technology, Berlin Heidelberg, pp. 251-258. (Cited by 4 as per GoogleScholar citation index) This paper has won the best paper award!
  4. Lalingkar, A.; Chandrashekhar, R. & Ramani, S. (2011). An Educational Resources Broker System for Collaborative Sharing of Knowledge-Centric Content, In the Proceedings of International Conference on Technology for Education, July 14-16, 2011, Chennai, India. (Cited by 1 as per GoogleScholar citation index) (Paper Link )
  5. Lalingkar, A., & Ramani, S. (2010). A Web-based Study Facilitation System. In the Proceedings of ED-MEDIA 2010: World Conference on Educational Multimedia, Hypermedia and Telecommunications, June 28- July 2, 2010, Toronto, Canada. (Cited by 3 as per GoogleScholar citation index) (Paper Link )
  6. Lalingkar, A., & Ramani, S. (2009). A Student’s Assistant for Open e-learning. In the Proceedings of T4E’09: International Conference on Technology for Education, August 4-6, 2009, Bangalore, India, 62-67. (Cited by 4 as per GoogleScholar citation index) (Paper Link )

Chaitali Diwan

Chaitali Diwan is a PhD student at Web Science Lab, IIIT Bangalore. She holds a MTech in Data Science from IIIT Bangalore and B.E in Computer Science from VTU. Her research interests are web science, education technologies, NLP, multi-agent systems, semantic and web mining.

She has around 10 years of software development experience and has worked in MNCs like Samsung India Research Centre, Qwest Telecom Software Services and Accenture Services. She has majorly worked on web technologies, data-centric applications, data workflows during her tenure in the software industry. For more, please visit her Linkedin Profile.

Associated Research Projects:



  1. Niharika Parasa, Chaitali Diwan, Srinath Srinivasa. “Automatic Riddle Generation For Learning Resources”. In Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022), 27-31 July, Durham University, UK
  2. Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G.Srinivasaraghavan. “A Semi-automatic approach for Generating Video Trailers for Learning Pathways”. In Proceedings of the 23rd International Conference on Artificial Intelligence in Education (AIED 2022), 27-31 July, Durham University, UK
  3. Chaitali Diwan, Srinath Srinivasa, and Prasad Ram. Automatic Generation of Coherent Learning Pathways for Open Educational Resources, In Proceedings of the Fourteenth European Conference on Technology Enhanced Learning (EC-TEL 2019), Springer LNCS, Delft, Netherlands, 16-19 September 2019
  4. Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G.Srinivasaraghavan. Automatic Title Generation for Text with Pre-trained Transformer Language Model. 15th IEEE Interantional Conference on Semantic Computing, Virtual, January 27-29, 2021. [nominated for best paper award]
  5. Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G.Srinivasaraghavan. Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models. International Journal of Semantic Computing (IJSC), Volume No. 15, Issue No. 04, pp. 487 – 510, Year 2021. 
  6. Shyam Kumar V N, Chaitali Diwan, Srinath Srinivasa and Prasad Ram. Creating Navigable Competency Maps from Learning Resource Corpora. International Conference on Data Science and Management of Data (CODS-COMAD) 2021, Bangalore, India, January 2-4, 2021.
  7. Chaitali Diwan, Srinath Srinivasa, and Prasad Ram. Computing Exposition Coherence of Learning Resources, In Proceedings of The 17th International Conference on Ontologies, Databases and Applications of Semantics (ODBASE 2018), Springer LNCS, Valletta, Malta, October 22-26, 2018.
  8. Chaitali Diwan, Srinath Srinivasa, Bala Murali Krishna. Autonomous Spectrum Assignment of White Space Devices. Proceedings of the 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM 2017), Lisbon, Portugal. September 2017.

Raksha P S

Raksha P.S is a PhD Student at Web Science Lab. She has a Master’s degree in Web Technology from PES Institute Of Technology, Bangalore and Bachelor’s degree in Computer Science from K S Institute Of Technology, Bangalore. Prior to joining IIITB she has worked as a Big Data Engineer at Cogknit Semantics Pvt Ltd, Bangalore. Previously she has worked on Ontology Based Semantic Data Validation, Big Data, Data Visualization using D3.js, Web Crawlers and Developing Learning Management System. Currently she is working on Characterizing online social cognition as a marketplace of opinions. Her research interests are Web Science, Network Science, Data Mining and Social Cognition. For more, please visit her Linkedin Profile.

Associated Research Project:


  1. Identifying Opinion Drivers on Social Media


  1. Raksha Pavagada Subbanarasimha, Srinath Srinivasa and Sridhar Mandyam, “Invisible Stories That Drive Online Social Cognition,” in IEEE Transactions on Computational Social Systems, vol. 7, no. 5, pp. 1264-1277, Oct. 2020, doi: 10.1109/TCSS.2020.3009474.
  2. Raksha Pavagada Subbanarasimha. 2019. Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19). ACM, New York, NY, USA, 814-815. DOI:
  3. Srinivasa S., Pavagada Subbanarasimha R. (2018) Design of the Cogno Web Observatory for Characterizing Online Social Cognition. In: Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P.Krishna Reddy, D.V.L.N. Somayajulu. (eds) Big Data Analytics. BDA 2018. Lecture Notes in Computer Science. Springer, Cham. (To appear)
  4. Raksha Pavagada Subbanarasimha, Lokesh Todwal, Mamillapalli Rachana, Aditya Naidu, and Srinath Srinivasa. 2018. Mithya: A Framework For Identifying Opinion Drivers On Social Media. Demo at ACM IKDD Conference on Data Science and International Conference on Management of Data, Goa, India, Jan 2018 (CODS-COMAD 2018).
  5. Anish Bhanushali, Raksha Pavagada Subbanarasimha, and Srinath Srinivasa. Identifying Opinion Drivers on Social Media. In Proceedings of ODBASE 2017, Rhodes, Greece, October 23-27, 2017,  Springer International Publishing, Cham, 242–253.

Course work:

  • Web Information Retrieval (Reading elective – CS 902)
  • Network Science for the web (DS 608)
  • Foundations for Big Data Algorithms (CS/DS 812)
  • Machine Learning – I (CS/DS 864)

Talk on “Bridging big data and qualitative methods in the social sciences”

Date: Jan 3rd 2018

Time: 2:15 PM

Location: TBD

Abstract: With the rise of social media, a vast amount of new primary research material has become available to social scientists, but the sheer volume and variety of this make it difficult to access through the traditional approaches: close reading and nuanced interpretations of manual qualitative coding and analysis. This work sets out to bridge the gap by developing semi-automated replacements for manual coding through a mixture of crowdsourcing and machine learning, seeded by the development of a careful manual coding scheme from a small sample of data. To show the promise of this approach, we attempt to create a nuanced categorisation of responses on Twitter to several cases of extreme circumstances.


Bio of speaker:

Dima is a Senior Data Scientist at Skyscanner where his focus is on developing and optimizing the Skyscanner’s travel search engine. Prior to Skyscanner, Dima was with King’s College London where he worked on analysis of BBC iPlayer (a joint project with BBC) and various social media websites (Twitter, Pinterest, Foursquare, etc.). He contributes to the data mining (KDD, WWW, etc.) and computer networks communities (Infocom, ComMag, etc.) and have his works featured by New ScientistBBC News and other media outlets. Dima has also co-founded and was a former CEO of More information –