Introduction to applied computational research

Introduction

We start off by figuring out an interesting research problem to attack for each participant. This involves identifying an area of study, gathering enough basic information of it to draft a problem statement, and formulating hypotheses to investigate. We might of course change our minds down the road, but without an initial hypothesis, there is nowhere to start.

Learning outcomes

This module will help you do the following:

• Formulate a problem statement
• Formulate a hypothesis
• Formulate research questions
• Assess the feasibility of a research proposal

Readings

• Elsevier Author Services: What is a Problem Statement? [with examples]
• Elsevier Author Services: What is and How to Write a Good Hypothesis in Research?

Assessment: hypothesis

Submission deadline: by Session 2.

Submitted material: a single PDF file with the formulated hypothesis/hypotheses (more than one if in-depth stage is included), along with a list of sources consulted in the preparation of said hypotheses.

Basic stage (up to 4 pts)

Describe in writing at least one hypothesis for your applied computational research project. Include illustrations and references to sources as appropriate.

Rubric:

• 0 = nothing relevant leading to a problem statement
• 1 = weak speculation, lacking a concrete take on a problem
• 2 = satisfactory formulation of hypothesis for a feasible project
• 3 = excellent, clear and actionable hypothesis that links to a concrete problem statement

In-depth stage (up to 4 pts)

Include up to two more drafts for additional potential hypotheses.

Rubric (per additional hypothesis):

• 0 = weak, incomplete, or vague
• 1 = clear and feasible, but similar to the other ones
• 2 = actionable, concrete, clearly different from the prior ones