Bridging Nature with Data Science – Chapter 2

Can data science help combat environmental issues?

Following the overwhelming success of the first edition of the Bridging Nature with Data Science workshop, Azim Premji University, Bhopal, is organising its second chapter. It will be held on campus, more intense and hands on. We will start with basic statistics, move to robust models, and finally produce professional, reproducible reports and maps.

Why should you attend?

Data science is an essential tool across all developmental sectors, modern industries, and research fields. In this data-driven revolution, students, teachers, researchers, and professionals, especially those with limited technical expertise, often face theoretical and applied challenges.

The workshop aims to build participants’ technical competence and foster a sense of belonging in this rapidly changing data landscape. It aims to transform participants from passive observers into data-driven advocates capable of creating evidence-based narratives and equipping them with a highly marketable skill set.

Who should attend?

Motivated undergraduate, postgraduate, and PhD students; teachers; researchers; and working professionals are welcome to join.

Important dates to remember

Registration closes

Notification to participants

Workshop begins

Workshop ends

Registration details

  • There is no registration fee for the workshop.
  • Limited seats are available. 
  • Registration closes on 30 Nov 2025 (Sunday).
  • The university will provide shared accommodation and working lunch to the shortlisted participants.
  • All participants will receive a certificate of participation upon completion of the three-day workshop.

For more information, visit here.

Dr. Abhishek Mukherjee is an Associate Professor at the Indian Statistical Institute, Kolkata. He obtained his PhD degree from the University of Florida and gained postdoctoral experience at Texas A&M University. His research interests include ecological niche model, invasive weed ecology and biological control, and applications of nano-biotechnology for sustainable agriculture. 

Dr. Amiya Ranjan Bhowmick is a faculty member in the Department of Mathematics at the Institute of Chemical Technology, Mumbai. His academic interests span interdisciplinary data science, statistical modelling, and applied mathematics. He actively integrates quantitative methods into ecological and environmental research. Dr. Bhowmick is deeply committed to training students in data-driven research and computational thinking. For more information, see https://​sites​.google​.com/​s​i​t​e​/​a​m​i​y​a​iitb/. 

Ruqaiya Shaikh is a Project Research Assistant at IIT Bombay and Visiting Faculty in Data Science and AI programmes at Institute of Science, Mumbai and St. Xavier’s College, Mumbai. She holds a master’s in mathematics from the Institute of Chemical Technology, Mumbai. Her research interests include machine learning, statistical modelling, and applications of data science in various domains.

Dipali Vasudev Mestry is a PhD student (DST-Inspire Senior Research Fellow) in the Department of Mathematics at the Institute of Chemical Technology, Mumbai. Her research focuses on Bayesian and computational modelling for ecological and environmental applications. She has expertise in Monte Carlo methods, MCMC, Approximate Bayesian Computation, and dynamic documentation of analyses using Quarto.