Welcome to FDP 2020

This program will cover new trends in emerging areas of data science relating to its adoption within the contexts of the web and social media. The program will start with introducing how supervised and unsupervised machine learning have been explored over new media sources, and the technologies that have been developed for the same.

This will provide a bird’s eye view of the landscape of data science approaches for web and social media, as well as delve deeper into particular areas of emerging importance. This, in line with the focus of the project, will also cover data science technologies for fake news detection and identifying collusion within social networks. Additionally, in order to equip participants with knowledge to address upcoming challenges in data science and broadly AI, we will consider a number of newly arising scenarios such as fairness and ethics which affect the adoption of data science technologies within various end-user-facing contexts.


  • Overview of Data Science fundamentals
  • Challenges and Data Scenarios within web and social media
  • Heterogeneous Information within Social Media & Web
  • Fake News in the Web
  • Inorganic Activity on the Web
  • Privacy, Ethics, Fairness and Explainability in Data Science
  • The way forward

Contact Info

Contact Person:Ms. Priti Patwal
Email id: pritip@iiitd.ac.in
Phone Number: 011-26907411


1) For Faculty members / Industry professionals: Rs 2500 + 18% GST
2) For Students: Rs 1800 + 18% GST


@Faculty Development program on "Data Science for Web and Social Media"

Tanmoy Chakraborty

IIIT-Delhi, tanmoy@iiitd.ac.in

Deepak P

Queen’s University Belfast, deepaksp@acm.org

Santhosh Kumar G.

Cochin University of Science and Technology, san@cusat.ac.in

Event Schedule

Day 1 [ Feb 29, 2020 ]

  • Session 1.1 (10:00 am to 12:00 Noon) : Tanmoy: Introduction to network science
  • Session 1.2 (1:30 pm to 3:30 pm): Deepak: Fairness in ML
  • Session 1.3 (4:00 pm to 6:00 pm): Project Work in Lab (decide scope and workplan, gather/pre-process data, familiarization with toolkits)

Day 2 [ Mar 1, 2020 ]

  • Session 2.1 (10:00 am to 12:00 Noon): Santhosh: Spatiotemporal Data Mining
  • Session 2.2 (1:30 pm to 3:30 pm): Tanmoy: Theory
  • Session 2.3 (4:00 pm to 6:00 pm): Project Work in Lab (perform project tasks, gather output, analyze results)

Day 3 [ Mar 2, 2020]

  • Session 3.1 (10:00 am to 12:00 Noon): Deepak: Data Science Applications 1 [ Anomaly Detection + Multi-view Analytics]
  • Session 3.2 (1:30 pm to 3:30 pm): Deepak: Data Science Applications 2 [ Fake News + QA Analytics]
  • Session 3.3 (4:00 pm to 6:00 pm): Project Work in Lab (project finalization and assessment)