Data Science Surgeries @DSI are consulting sessions open to businesses of all sizes, academic and professional staff as well as for PhD students at Bournemouth University. The sessions are an opportunity for contact, information and advice related to data processing and knowledge engineering.
We strongly believe that any decision you make should be based on evidence not “guesstimation”, and to this end we want to help you leverage your data and unlock its hidden potential.
- have access to/collect any kind of data as part of your research or job, and you were always wondering what to do with it, we’re happy to help.
- already know what you want to do with your data but you’re not sure how, let us know.
- don’t have any data yet and would like to collect some to help you answer some burning questions, we can guide you through designing a rigorous data acquisition process, avoiding typical pitfalls (like various sources of bias etc.). We’ll explain what “bias” means, too.
To arrange a face to face session with a member of the team, please drop us an email at email@example.com or give as a call at 01202 961631.
Our team is very enthusiastic, approachable and relaxed. Our areas of expertise include:
- machine learning
- data mining
- social network analysis
- data visualization
- multimodal signal processing (physiological and behavioral)
- signal synchronization
- machine learning
- data clustering
- emotion/affect recognition from speech
- speech signal processing
- multimodal interaction analysis
- human-machine and human-human interaction
- affective/emotional computing
From time to time we may want to invite our PhD students to the sessions, so that they can watch, learn and share their ideas with you, too.
A1. Because we love everything data-driven and we love sharing our knowledge with people who appreciate it. Often the difference between good research and great research is the rigour of the analysis. As we focus on data analysis alone often we can see simple (for us) but important (for your research) improvements that can be made. Thus our aim is to do our part to help raise the level of research at BU.
Q2. Ok, but why are you doing it for free?
A2. See A1. Fine, we also have an agenda. We’d like to spur interdisciplinary collaborations with experts from other domains, including joint projects of all types (PhD co-supervision, grant proposals etc.)
A3. We take privacy and ethical issues very seriously. You don’t have to share your data with us. If you do, we’ll keep it encrypted and will not give it to anyone. We’re also happy to help you anonymise the data before you hand it over.