Data Insights: Bridging Nature with Data Science

Can data science help in combatting environmental problem?

APU Online Biology Workshop 01 1

It’s challenging to imagine aspects of human life that have not been impacted by increasing data and technological advances. Data and technology have evolved our lives and influenced our work, decisions, and perceptions of the world around us. 

Natural Sciences are also not left behind — statistics, machine learning, and artificial intelligence are becoming central to advancing the frontiers of knowledge in the discipline. Interdisciplinary research in natural sciences has also advanced in recent years with modern data science methods. Amidst this data revolution, natural science students and researchers, especially those with limited technical expertise, face theoretical and applied challenges. 

Azim Premji University, Bhopal, invites you to a two-day online workshop on Bridging Nature with Data Science. The workshop aims to focus on some of the most pressing environmental problems and discuss applications of data science in addressing those issues. 

All participants will receive a certificate of participation upon completion of the two-day workshop. 

Thank you for the overwhelming response, we have closed the registrations. 

  • Discussions and hands-on activities on working principles of data science and machine learning methods to equip students and practitioners of natural sciences with data-driven tools and technologies.
  • Introduction to Data Science foundations, Regression Problems, Classification problems, and introductory Bayesian methods, focusing on interdisciplinary research with case studies. 

Motivated undergraduate, postgraduate and PhD students from all over India. Faculties and working professionals are also welcome to join. 

There is no registration fee for this workshop. 

Day 1

Quantitative methods for environment and natural resources

• Introduction to data science (lecture)

• Artificial intelligence and environmental challenges (lecture)

• Machine learning methods (Classification, regression, Bayesian) to address environmental problems (lecture and hands-on with case studies)

Day 2

Environment across space and time 

• Introduction to spatial data and geographic information system (lecture)

• Vector and raster data, modelling species distribution across space and time (lecture and hands-on with case studies)

• Valedictory

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. Achyut Banerjee is an Assistant Professor at Azim Premji University, Bhopal. After completing his PhD from University of Calcutta, he was associated with Sun Yat-sen University in China as a postdoctoral fellow and research associate. His research focuses on biogeography, environmental niche modeling, population growth dynamics, and community ecology.

Dr. Amiya Ranjan Bhowmick is an Assistant Professor at the Institute of Chemical Technology, Mumbai. After completing his MSc from the Indian Institute of Technology Bombay, he obtained his PhD degree from the University of Calcutta. He is interested in data-centric research in ecological and environmental issues, and machine learning methods in biological invasion and management.

Dr. Tanujit Chakraborty is an Assistant Professor at Sorbonne University, UAE. He received his MSc and PhD degrees from the Indian Statistical Institute, Kolkata. His research and teaching interest lies in machine learning, time series forecasting, and health data sciences.