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Pydata on 2 July

Pydata on 2 July

Harmony at PyData London - 86th Meetup Update: you can download the slides from the presentation here Topic: NLP and generative models for psychology research Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires. Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.

Data Harmonisation in Education

Data Harmonisation in Education

Data Harmonisation in Education: Overview The term ‘harmonisation’ has often been used in different contexts – for example, to describe similar phenomena, such as collaboration, coherence, alignment, integration, partnership, etc. However, we might argue that these concepts might do nothing more than indicate the extent and scale of integration among different entities when it comes to regional cooperation. Now, the underlying degree of interaction between all the players involved can run a lot deeper and tighter when we transition from collaboration, partnership, and cooperation to integration, community, harmonisation, and interdependence.

How To Find Matching and Common Items in Questionnaires and Surveys

How To Find Matching and Common Items in Questionnaires and Surveys

When researchers take on the task of analysing data from surveys and questionnaires, they often encounter a significant obstacle: finding matching or common items across different sources. This challenge is due to the many different ways questions are asked or formatted. This makes it tough to compare and merge data effectively. According to Forbes, researchers spend up to 80% of their time just getting data ready for analysis, and a big part of that time goes into harmonising data.

Data Harmonisation in the Public Sector - 6 applications

Data Harmonisation in the Public Sector - 6 applications

Overview Public administrations today are tasked with managing massive volumes of data in multiple formats, often using different management methods, as per the demands of their individual organisations. It’s also become common for them to host multiple copies of that data across different repositories. As a result, the data can often be disseminated across multiple regions, especially in terms of content and presentation, unless it is ‘harmonised’. This is one reason why there is so much re-use at the low level of existing information on citizens and businesses, for example.

How to Extract and Process Data from Questionnaires

How to Extract and Process Data from Questionnaires

More than thirty years ago, John Naisbitt put into words a feeling many of us recognise today in “Megatrends,” saying, “We are drowning in information but starved for knowledge.” This statement is incredibly relevant in today’s world, filled to the brim with data for research, analysis, and making decisions. The job of pulling and refining data from questionnaires is key, as these are so many insights and so much valuable feedback.

Harmony at Lifecourse seminar

Harmony at Lifecourse seminar

Harmony at Lifecourse seminar On 15 May 2024, Eoin McElroy and Bettina Moltrecht gave a seminar Harmony: A global platform for harmonization, translation and cooperation in mental health research for the Melbourne Children’s LifeCourse Initiative seminar series.

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