Forensic Report

Research Grant Application

- Library Databases research, plagiarism, Citations.
- Forensic report writing
- The scientific method: Inquiry, parsimony. Observation, problem, hypothesis, methods, results, conclusion, communication. 
- Project logistics. Sample, funding, remaining flexible, timeline, ethics,
- Presenting posters and presentations – the good and the bad. Publishing – where? Impact factor, quartiles, citation index, R index. Where should I present and why? Authorship order and acknowledgements. How to prepare a manuscript.
- Communicating your work outside academia: Creating website, blog, podcast.
Use of social media. Use of media. 
- Developing a research question. Developing ideas. Open and close ended questions. Bias. Read articles and narrow it down. Brainstorming. Feasibility. 
- Grant applications (assessment). Includes: measuring impact.
- CV writing, applying for jobs. Making yourself employable.
- The module is designed to develop knowledge of the value of statistical data in forensic science and how this data can be used to draw valid conclusions that can provide with the right interpretation of a set of data to fulfil the legal requirements needed in court.

Forensic Research Methods - 7114NATSCI

Forensic Research Methods

Write a successful research grant proposal which outlines and evaluates the research process to investigate a research question and includes logistics, funding, timetabling, ethics, background.

Critically evaluate and identify the academic and non-academic impact of an independent piece of academic research and critical analysis of advanced scholarship and published research.

Attain proficiency in professional tasks required of a forensic expert, including writing of standardised reports and statements acceptable for use within the UK Criminal Justice System

Present ideas in written format suitable for scientific communications by placing the research project into the broader context of the field, including logistics, dissemination and budget.

Learn, criticise and evaluate statistical methods according to the legal requirements to make them robust enough for a court of law and the ethical implications of their use.