Simon Clematide
Biographic Data
| ID | 4206821 |
|---|---|
| NAME | Simon Clematide |
| GIVEN NAMES | Simon |
| FAMILY NAME | Clematide |
| SIGNATURE | CLEMATIDE S |
| AFFILIATIONS | University of Zurich |
| ORCID | 0000-0003-1365-0662 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
IT skills in vocational training curricula and labour market outcomes
We use vocational training curricula to investigate how IT skills are trained within broader skills packages and how these relate to labour market outcomes. Skills packages are the typical combinations of IT skills (e.g., CNC) and technical or nontechnical skills (e.g., material sciences or work safety) that are jointly required in the real world and occur in training curricula. This broadened perspective of teaching IT skills offers new insights…
Swiss Job Market Monitor
The Swiss Job Market Monitor (SJMM) is a data collection of job ads for a national labour market from 1950 onwards. It is a prime example for demonstrating how to turn digital data into a high-quality social science data set. It is also exemplary for combining digital data with historically grown job ads data to provide a comparable time series covering the past 70 years. Paying close attention to sampling procedures, coverage, and key variables,…
Electoral Campaigns and Relation Mining
Among the many applications in social science for the entry and management of data, there are only a few software packages that apply natural language processing to identify semantic concepts such as issue categories or political statements by actors. Although these procedures usually allow efficient data collection, most have difficulty in achieving sufficient accuracy because of the high complexity and mutual relationships of the variables used…
Swiss Job Market Monitor
The Swiss Job Market Monitor (SJMM) is a data collection of job ads for a national labour market from 1950 onwards. It is a prime example for demonstrating how to turn digital data into a high-quality social science data set. It is also exemplary for combining digital data with historically grown job ads data to provide a comparable time series covering the past 70 years. Paying close attention to sampling procedures, coverage, and key variables,…
Electoral Campaigns and Relation Mining
Among the many applications in social science for the entry and management of data, there are only a few software packages that apply natural language processing to identify semantic concepts such as issue categories or political statements by actors. Although these procedures usually allow efficient data collection, most have difficulty in achieving sufficient accuracy because of the high complexity and mutual relationships of the variables used…
IT skills in vocational training curricula and labour market outcomes
We use vocational training curricula to investigate how IT skills are trained within broader skills packages and how these relate to labour market outcomes. Skills packages are the typical combinations of IT skills (e.g., CNC) and technical or nontechnical skills (e.g., material sciences or work safety) that are jointly required in the real world and occur in training curricula. This broadened perspective of teaching IT skills offers new insights…
Swiss Job Market Monitor
The Swiss Job Market Monitor (SJMM) is a data collection of job ads for a national labour market from 1950 onwards. It is a prime example for demonstrating how to turn digital data into a high-quality social science data set. It is also exemplary for combining digital data with historically grown job ads data to provide a comparable time series covering the past 70 years. Paying close attention to sampling procedures, coverage, and key variables,…
Computational and Text Analysis Methods (3 works) · Computer Science (2 works) · Data mining (2 works) · Data science (2 works) · Annotation (1 work) · Apprenticeship (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Big data (1 work) · Business (1 work)