Workshop on using opensource softwares

Please poll your preferences for the below listed choice of activity for the opensource workshop.

Note: If you have better suggestions, provide them in the comments section below.

LATEX workshop - will cover basics of preparing a thesis or journal, bibilography.
68% (13 votes)
Python workshop - will cover basics of python, simple math calculations, a simple data analysis section that includes plotting,
58% (11 votes)
Linux Installfest (separate event before AWS)
11% (2 votes)
Total votes: 19

Date: 31st July - 1st Aug 2017

  1. How to Read a Statute?
    Resource persons: Arpita Kodiveri
    Description: The workshop will provide a quick overview into the tools needed to read and interpret a statute. This workshop will be useful for researchers who are looking at questions of law or how the law operates in their research areas. Basic tools of legal research will be useful to researchers in how they examine the role of law and its myriad sources in their work. The objective of the workshop is to enable the participants in working with a statute keeping in mind key legal principles of interpretation of statutes. The workshop will engage with the different sources of law, namely, international law, constitutional law, statutory law, administrative law and case law in navigating questions of reading a statute.

    The workshop will be divided into three parts. The first part will be based on reading the bare statute and its sections. The second part will focus on the inter-relationship between the statute and other sources of law. The third and final segment will be where an actual legal problem will be provided so that participants can apply their interpretations of the statute to resolve it. The workshop will be using the Wildlife Protection Act,1972 and its various amendments to demonstrate the tools and techniques of reading and interpreting a statute.

  2. Introduction to Google Earth Engine
    Resource persons: Dr. Muneeswaran Mariappan
    Description: Google Earth Engine (EE) is a state-of-the art geospatial tool which offers a cloud based multi-petabyte catalog of satellite imagery with the capabilities of planetary-scale spatial analysis. It provides more than 5 million Landsat images in addition to a variety of geospatial datasets for the entire planet. The pre-built algorithms of EE enable the users to visualize and analyze the datasets for large landscapes. The aim of the workshop is to train the ATREE researchers & staffs on geospatial data processing and analysis using EE. The workshop will cover the basic introduction, usage of EE, Image processing, NDVI analysis and landuse/landcover mapping in EE environment. The workshop will offer a hands-on introduction to GEE, basics of EE API and datasets. The participants will learn how to access & process different geospatial datasets in EE.

    Duration and prior requirements: 3 hours. Basic knowledge of GIS/RS mandatory. Laptop with Chrome browser is compulsory.

  3. Hey! That’s my idea!
    Resource persons: Abi Tamim Vanak, Maria Thaker, Assistant Professor Centre for Ecological Sciences, Indian Institute of Science
    Description: Academic Integrity should be obvious and uncomplicated, yet as scientists, we often find ourselves in situations where the grey areas are not always simple to navigate. So, let’s outline a moral code of academic ethics. Where relevant, I’ll dabble in a little history and tell you of some of the great lies and missteps. Let’s also begin to tackle the following: Do you have rights to an idea if someone else publishes it first? What is considered data fudging or massaging? Is it considered plagiarism if you’ve published it before? Is authorship guaranteed or a political game? Should we whistle blow if we know of scientific misconduct? This discussion is meant to open the door on a conversation that we often have in whispers.

    Duration: 2.5 hours

  4. Ecological Niche Modeling Using MaxEnt
    Resource persons: Sandeep Sen, Barkha Subba, Shivaprakash KN
    Description: Ecological niche models also known as species distribution models, habitat suitability models, and bioclimatic envelope models rely on the concept of the niche—the set of environmental conditions in which a species can survive and persist. They are particularly topical today because of concerns over the effects of climate change and invasive species on the distribution and abundance of native species. In this workshop, we will focus on MaxEnt algorithm, the most commonly used niche modelling tool in applied ecology. The workshop structure is lectures in the morning followed by hands-on exercises in the afternoon. This is intended to cover some of the theoretical and conceptual foundations behind the use of niche modeling algorithms.

    The objectives of this workshop are to allow the students to understand the breadth of statistical algorithms used in niche modeling and conceptual underpinnings of how MaxEnt model works. We will use real world datasets for evaluating and assessing the modeling technique. At the end of the workshop we will have an interactive session where everyone can engage in discussions, Q&A etc. as the philosophy of this workshop is, we are all learning from each other.

    Level of experience: basic knowledge in R and GIS can be an advantage.

  5. Making sense of your data
    Resource persons: Suhas Basme (Postdoc fellow, ATREE)
    Description: The most challenging task of the qualitative research is to make sense of the vast amount of data collected in the form of interviews and household surveys. The common questions that come to a researcher’s mind are to find an appropriate way to arrange the data giving an overall sense of issues involved and secondly easy to access as required while writing the chapters. These are some of the fundamental issues that every researcher struggles with and find their way in writing their PhD. The workshop ‘Making sense of your Data’ is for the students who collected the data from the field and in the process of writing the chapters. However, the workshop will also talk briefly about the challenges involved in the collection of data such as, understanding one’s field, approaching the respondents, arranging interviews, focus group discussion, addressing the difficult situations during fieldwork, etc. The workshop will not provide a solution but a possible way out to the researchers to address difficulties in the arrangement and analysis of the data.
    The workshop will be consisting of an interactive three hours session. The first part will discuss in general the challenges involved in arranging the data. The second part of the session consists of a short exercise of reading the transcripts and learning possible ways to code it. For more, I will be sharing my experience of writing a PhD thesis. The interactive session will help the researchers to identify themselves with the issues discussed and eventually figure out by themselves their possible solutions.

Click here to register for the workhops.