How to communicate and report about your statistical analyses and results? Lessons learnt during a global crisis

Content

Due to the current COVID-19 situation, this event will be held online

The Data Science Institute at UHasselt, in collaboration with L-BioStat (KU Leuven) and the Global Health Institute (UAntwerpen), organises a one-and-a-half-day workshop on data analysis as a holistic process consisting of (i) data collection, (ii) data analysis, and (iii) result interpretation and dissemination. This event aims at researchers with or without expertise in data analysis and interpretation.

Through a series of keynote talks, given by well-respected researchers such as Prof. dr. Geert Molenberghs,  Prof. dr. Niel Hens, Prof. dr. Pierre Van Damme, and Prof. dr. Peter J. Diggle, you will be introduced to key concepts in themes such as survey sampling, statistical and mathematical (mechanistic) modelling, common mistakes in the interpretation of statistical results, visualisation of complex data analysis results, etc. Case studies will mostly cover epidemiological and ecological contexts, but the concepts are widely applicable in all types of empirical research.

Programme

DAY 1

  • Session 1 - Data Analysis
    • 9:30 - 9:45: Introduction to quantitative data analysis
    • 9:45 - 10:30: Prof. dr. Steven Abrams (UHasselt, UAntwerpen) on mechanistic (mathematical) modeling
    • 10:30 - 11:00: break
    • 11:00 - 11:45: Prof. dr. Christel Faes (UHasselt) on statistical modeling
    • 11:45 - 12:30 Prof. dr. Niel Hens (UHasselt, UAntwerpen) on do’s and don’ts in a data analysis
  • Session 2 - Data Collection 
    • 13:30 - 13:45: Introduction to data collection methods
    • 13:45 - 14:30: Prof. dr. Geert Molenberghs (UHasselt, KU Leuven) on sampling methods
    • 14:30 - 15:00: break
    • 15:00 - 15:45: Prof. dr. Thomas Neyens (UHasselt, KU Leuven) on data collection using citizen science
    • 15:45 - 16:30: Dr. Lisa Hermans (UHasselt) on existing Flemish large-scale data collection platforms and data sharing

DAY 2

  • Session 3 - Results communication
    • 9:30 - 9:45: Introduction to interpretation and communication of results
    • 9:45 - 10:30: Prof. dr. Peter J. Diggle (Lancaster University) on visualising geostatistical results
    • 10:30 - 11:00: break
    • 11:00 - 11:45: Prof. dr. Pierre Van Damme (UAntwerpen) on communication towards the general public
    • 11:45 - 12:30: Dr. Martijn Peters on science communication towards the media

Learning outcomes

At the end of the workshop, participants will be able to...

  • optimize their research by paying attention to set of key principles, allowing to to design their study
  • conduct meaningful and scientifically correct research relying on empirical data,

Competences

An important part of preparing for any further professional step is becoming (more) aware of the competences you have developed and/or want to develop. In the current workshop, the following competences from the UHasselt competency overview are actively dealt with:

  • academic research competences:
    • research methods
    • information management
  • intellectual competences
    • critical judgment
  • task orientedness
    • quality assurance
  • personal effectiveness
    • ethics & research integrity
  • interpersonal competences
    • written communication

Practicalities

For whom?

  • PhD students and postdoctoral researchers involved in research requiring quantitative data analysis

When?

  • December 9 & 10, 2021

Where?

  • This workshop will take place online.

Registration

  • Registration is now closed
  • As places are limited, registering does not automatically imply that you will be able to participate. You will be notified by email in due time.
  • Please cancel your registration at least one week in advance in case you cannot make it (cf. cancellation & no-show policy).

Acknowledged as?

  • DS ST: category 'advanced discipline-specific knowledge' - advanced course
  • DS HLS: category 'scientific skills' - one scientific skills course