European Labour Market Monitoring Network Annual meeting, Copenhagen 8th-9th October 2009 Kirsten Thomsen, Head of division, Employment Region Copenhagen and Zealand
Main Tasks of the Employment Region • Support and ensure the 44 job centres (PES) performance in the region • Monitoring and analysing the development on the regional labour market. • One of four regional employment authorities within the Danish National Labour Market Authority under the Ministry of Employment.
One region – two countries! Population in Oresund region
3.7 mio.
- Population in Oresund DK
2.5 mio.
Employed in Oresund region
1.8 mio
- Employed in Oresund DK
1.25 mio
Skåne Zealand
Low unemployment – but rising! Number of unemployed, 2006-2009
60.000 50.000
Øresund DK
40.000
34.873
30.000 28.000
20.000 10.000
Source: Ørestat
2009M05
2009M03
2009M01
2008M11
2008M09
2008M07
2008M05
2008M03
2008M01
2007M11
2007M09
2007M07
2007M05
2007M03
2007M01
2006M11
2006M09
2006M07
2006M05
2006M03
2006M01
0
Region Skåne
Increased integration – from a low level! Number of commuters across Oresund in november
Oresund bridge opens!
Project: ”Jobs and Competences …” • Purpose: To identify the needs and gaps of competence in the Oresund Region • Perspective: Facilitate integration of a common labour market and common provision of skills and competences in the Øresund Region
Project: 3 main activities and products • A common labour market balance system – that measures current shortages of specifique occupations (4 digit Isco) • Common forecasting results for labour market development • In depth studies of 6 sectors e.g. care-sector, transport and cleantech
Enjoy your stay!
Copenhagen – bikes, mermaids and flexicurity!
OECD Framework for Information Exchange in Local Development (FIELD)
Dr Jonathan Potter Senior Economist, OECD
Presentation structure • OECD and LEED Programme • FIELD concept • 2007-8 activities and results • 2009-10 work programme
OECD global relations
OECD Member countries Countries working with OECD
OECD themes & committees
OECD LEED Programme Employment, skills and local governance Evaluation Entrepreneurship Local Economic and Employment Development
Tools for local development
Social inclusion
Context for FIELD Building a culture of evaluation at local level • OECD (2008) Making Local Strategies Work: Building the Evidence Base • Strategic Evaluation Frameworks • Capacity-building seminars Partnership with EC DG Employment and Social Affairs
FIELD concept To support local development organisations in strengthening their information systems and evidence base Evidence on: • What drives the local economy, what holds it back? • Where and how should policy intervene? • Is policy bringing results?
FIELD concept • Localities need to understand their own policy context • Top-down information is insufficient (insufficiently disaggregated, missing key issues, lacking policy impacts, etc) • Localities are starting to collect and use complementary information, but need support and a means of exchange
FIELD concept OECD contribution • Help local organisations identify relevant information and how to collect and use it • Provide a forum for international benchlearning on policy needs and impacts, based on locally-developed information • Help policy makers build an understanding that converts anecdote to evidence
2007-8 activities • Scoping • Project framework document • Pilot locality work – Strengths and weaknesses of their information systems – Evidence on their successful policy instruments
• International exchange seminar – Information systems and policies
• OECD report and suggested next steps
Pilot localities • Trento, Italy (Observatory for Economy, Labour, Social Demand) • Brandenburg, Germany (State Agency for Structure and Labour) • Manchester, UK (Manchester Enterprises) • Lille, France (Lille Metropolitan Urban Development and Planning Agency) • Copenhagen, Denmark (Employment Region Copenhagen & Zealand) • Cantabria, Spain (Sodercan)
Pilot locality work • Templates for self-completion, with country expert • Intensive workshop with OECD Secretariat and consultants • OECD report with recommendations on how to improve the system
Framework for discussion OUTPUT TRENDS IN LOCAL PERFORMANCE
-
-
-
Economy
-
Population
-
Labour
-
Social cohesion
2
ENABLERS (Institutional and social capacities)
5
Advice and finance for new enterprises Business incubators Innovation grants
4
DRIVERS OF PERFORMANCE -
Education, skills Entrepreneurship & business development
-
3
Leadership
-
Infrastructure, ICT -
POLICY ACTIONS ON DRIVERS
-
Social capital
-
Partnerships
Effective labour market functioning - Etc
Innovation Job matching
- Resources
Training
-
LEGACY (HISTORY) -
-
and
assets
Support for higher education Etc
1 -
- Labour market
- Growth
- Population
- Location
- Industry
- Etc
External information
Powers and legal options
Self-collected information
How is the locality performing? Performance outcomes
National statistical offices
Local surveys
What are the problems and challenges? Drivers
National statistical offices and partners
Local surveys
How can we improve policy performance? Policy actions on drivers
External evaluations
Self-monitoring and evaluation
How can we improve enabling capacity? Enablers and capacity
External research
Expert polls and stakeholder views
Results • Differences in agency types (provincial information observatory, sub-regional enterprise agency, regional development agencies, agency for European programmes, regional arm of central ministry) • Differences in indicators used, reflecting – different missions (enterprise, labour; reporting, desiging), – different challenges (complex governance, exit from EU funding, forecasting uncertainty)
Results • Gradation of information landscapes (dependent – independent) – Information landscape set by external benchmarks – Present official data – Use range of data to set own objectives and targets – Build independent, local-driven information with focused analysis – Have all data needed and share with stakeholders locally
Information landscape components 1. Supply chain – Determines information available (build locally?)
2. Governance – Factors controlling and constraining what local organisations can do with information (policy information?)
Information landscape components 3. Analysis/value adding – Actions to process information into knowledge (understand comparators, represent data limitations?)
4. Consumption – How information is consumed (critically constructive evaluation of information)
Conclusion of 2007-8 • Unrealistic to build ‘dashboard’ for local benchmarking across OECD • Can build capacity for better information systems at local level through advice and exchange • There is demand and need for information on policy impacts • May be possible to design ‘bouded’ exchanges focused on given themes
FIELD project: 2009-2010
Organisation for Economic Co-operation and Development
Local Economic and Employment Development Programme
FRAMEWORK FOR INFORMATION EXCHANGE IN LOCAL DEVELOPMENT (FIELD) Project implemented with the support of the European Commission 2010 ACTION PLAN This project supports local development organisations in strengthening their information systems. It provides guidance on data collection, analysis and use in policy making, customised to conditions in each participating area. It helps policy makers to build evidence on: What makes your local economy work? What drives it forward, what holds it back? Where and how policy should intervene? Is policy bringing results? The 2010 phase of the project builds on the results achieved in 2006-2009 and is organised in the following 2 work streams: 1.
Mentoring of partner localities in building robust local information systems;
2.
Developing a set of common indicators on critical local development issues: Improving skills and human capital; Reducing poverty and social exclusion; Fostering entrepreneurship culture, start-ups and selfemployment; Supporting innovation.
The project supports the exchange of information and experiences among participating localities and wider local development community on improving information systems. 1.
Helping localities information systems
to
construct
robust
This part of the project will review local information systems (the way data is collected, analysed and used for policy making) in partner localities, provide recommendations for improvement and distil good principles for constructing local information systems. This will be based on the analysis of information you collect or which is easily available from other (national or international) sources.
Greater Manchester’s experience of participating in the FIELD project in 2008 A positive experience; Useful to be able to step back from day‐to‐day work; Learning from different areas trying to do similar things Informative challenge function from independent observers, stress testing our assumptions and systems Provided practical recommendations for developing our information system which will improve the decisions that the city region makes FIELD recommendations already being implemented Developing an online ‘library’ of evaluation material. Development of Manchester Monitor – an online portal for local and national economic data and analysis Asset mapping (e.g. key businesses, big science, key people) using an online portal to bring together disparate local data collection systems Negotiated access to firm level data from regional agency Business Link Continuing to lobby government for access to client level data for benefit claimants (learning from the Copenhagen model) Looking at ways to develop more sophisticated use of economic forecasting models Recognise importance of working with other European city regions and would recommend that other regions participate in the next phase Made all the more important by Greater Manchester being designated as a pilot statutory city region John Holden, Head of Economic Research, Manchester’s Commission for the New Economy
The work in 2006-2009 helped to identify some initial core elements of robust information systems or ‘landscapes’. These are presented in four components of ‘information landscapes’ with aspects of good practice highlighted for each of them:
The information ‘supply-chain’, which determines the information that is available to construct indicators, and to inform policy and strategy. Good information supply chains build data locally, are based on micro data that can be processed according to local information needs and use of national data primarily as a reference base.
The ‘information governance’ which involves the factors that control and constrain what the local areas can do with information once it is collected. Good information governance statistically empowers local areas and provides policy-focused information, rather than simply generates funding driven information.
‘Analysis / Value-Adding’ comprises the actions that take place to process information into intelligence and knowledge. Good analysis/value adding understands comparator areas and represents data limitations.
The ‘Consumption’ component describes how the resulting knowledge is ‘consumed’ at all levels of the organisation and beyond by other actors. Good information consumption evaluates information in a critically constructive way.
Working method: Project partners: The project will involve, in addition to the existing 10 Pilot and Observer localities1, 4 new partners: local development organisations with a strong responsibility in strategy making or implementation (regional development agencies, sub-national authorities). Activities: the partner localities will host a 1 day workshop to:
Review the information systems in place and identify areas for improvement. Identify the local policy instruments for which measured impact information is available to assess their success; Review the indicators in place to measure economic performance and policy impacts in 4 policy areas (Improving skills and human capital; Reducing poverty and social exclusion; Fostering entrepreneurship culture, start-ups and self-employment; Supporting innovation).
Participation benefits and requirements: By participating in the FIELD project your organisation will benefit from: Advice on how to strengthen local information system; International validated examples of policies and instruments that work; Advice on building LEED indicators; Learning from other places experience. Project partner localities will be required to:
Provide support in organising a 1 day project workshop; Complete a project fiche (information on the data you collect and use in policy making and examples of successful projects for which measured impact information is available); Provide a financial contribution of 5,000€ to cover the costs of visiting, advising and reporting on the locality.
Outputs: 1. 2.
Recommendations to partner localities on how to strengthen their information systems; A compendium of local policies and instruments that work (for which sufficient impact assessment and evidence exists).
1
Participants in 2008 were Trento, Greater Manchester, Metropolitan Lille, Brandenburg, Copenhagen and Zealand, and Cantabria. Observers from other localities also participated: Riga Region, Latvia; Észak-Alföld Region, Hungary; Lubelskie and Podkarpackie Regions, Poland.
2
2.
Local Economic and Employment Development (LEED) indicators
This part of the project will address the need faced by many local policy makers to determine (in the vast amounts of national and local data and information) some core indicators that can help link data to local drivers of growth and link policy to drivers. The quality of indicators for local economic and employment development is inevitably the result of a trade-off between the components of statistical quality on the one hand, involving scale, relevance, accuracy, timeliness, coherence and consistency, and interpretability on the other. To these issues we also can add the consideration of cost-benefits (policy benefits weighed against investment costs and overall administrative burden) incurred in collecting data and developing indicators. Activities: 4 thematic seminars will be organised at the OECD Headquarters in Paris gathering a selected group of international experts and practitioners from partner localities to review the indicators in place and identify sets of indicators that can be used by local development organisations to better measure performance and policy impacts in the following fields: 1.
Improving skills and human capital (seminar to be held in March 2010);
2.
Reducing poverty and social exclusion (June 2010);
3.
Fostering entrepreneurship culture, start-ups and self-employment (September 2010);
4.
Supporting innovation (November 2010).
Outputs: 5.
A set of Local Economic and Employment Development (LEED) indicators;
6.
A manual for local policy makers on how to build information systems allowing to monitor local economic performance, identify policy need and measure policy impacts.
For further information and to participate in the project, please contact
[email protected] or
[email protected]
3
Good practice:
Cross Border Cooperation in the Öresund Region Thomas Behrens, Swedish Public Employment Service Kristian Krüger Henriksen and Jacob Løbner Pedersen, Employment Region Greater Copenhagen & Sealand, Denmark Copenhagen, DGI-Byen, 8. october 2009
15-10-2009
1
Disposition
‐ 2 ‐
Question: Your ideas, examples or experiences • with binational or cross-border forecast systems? • with forecasting occupationi-employment (isco)?
15‐10‐2009
‐ 3 ‐
Project: ”Jobs and Competences …” • Purpose: To identify the needs and gaps of competence in the Oresund Region - now and in the future! • Perspective: Facilitate integration of a more common labour market and provision of skills and competences in the Øresund Region
‐ 4 ‐
Labour market intelligence is relevant • We need beacons to guide us – showing the jobs and competences which are in demand… • at the moment/short term – to focus active labour market policy. Making us intervene at the right places • in the medium/long term to focus the provision of skills - the jobs of tomorrow requires other competences!
‐ 5 ‐
1+1>2? Demography shows there is a potential! Population age 16-64 years, Development i in Øresend SE and Øresund DK
The population in the age 16-64 continues to fall in Danish part of the Oresund region At the same time it rises in Scania!
Kilde: TendensØresund 2008
‐ 6 ‐
Good practice - cross border cooperation Cross border cooperation and joint development is key if the integration of the labour market and skills provision is to be strengthened! It might happen without our project – and adv. methods for monitoring the labour market But we are better of with them!
‐ 7 ‐
Project: 3 main activities and products
‐ 8 ‐
In depth studies • Purpose: A detailed analysis of the competence “situation” and demand in a sector • Method: register based statistics, forecast, labour market balance, desk research and interviews
6 In depth studies • e.g. care-sector, transport and cleantech • Competences – more than Isco and Isced
15‐10‐2009
A detailed understanding of competences • Competences are more than education (isced) and occupation categories (isco) (statistical categories) • Competences are related to praxis – bound to what people know and can – in a specific context
‐ 9 ‐
Models for forecasting labour market development • Purpose: Forecast future labour market development +10 years • Ambition - One model for entire Oresund Region • Current plan – produce and analyse results from both models • First report by december 2009
Forecast • Forecast future labour market development +10 years • Based on rAps and Sam-K Line
‐ 11 ‐
We want to answer questions like: Level of detail in the models Sam-K Line
rAps
How many people - with education x
112
12
- will be employed in industry y
28
53
- at the local level
Municipalities Municipalities
In year 2020? What will their age, ethnicity and gender be? ‐ 12 ‐
Sam-K-LINE Model Sam-K-LINE is Interregional Input-Output model, based on: • Sam (K) – Social Account Matrix for Danish Municipalities (K) And • LINE - Interregional economic theoretical frameworks (Leontief and Miyazawa’s interregional economic quantity model) The model is organised within a: • 2-by-2-by-2 principle: involving two actors (production units and institutional units), two markets (commodities and factors) and two locations (origin and destination)
‐ 13 ‐
Sam-K Line: Techniques • The model is built with a bottom-up approach. E.g. Micro → Meso → Macro → Meso • The model is built on the unique data sets and Meso/Macro economic parameters: • Sam-K applies: Personal micro-register data from Danmarks Statistik between 1996 – 2007 (history) • LINE applies: Sam-K, regional economic data and ADAM (Annual Danish Aggregated Model, which is macro-economic model to create forecast (2008-2024) SAM-K-LINE is flexible and unique to forecast the Labour Market by municipalities, regions, as well as by economic sectors, labour force characteristics (education, gender, ‐ 14 ‐ age, household types)
rAps - Model rAps is a System for Regional Analysis and Forecasts.(developed by The Swedish Business Development Agency NUTEK) rAps consists of: • Single or multi regional models for short/medium term •
Multi-regional model, long term
rAps-DB, backgrounds database for the regional models The database (rAps-DB) is built up based on basic statistics: regional statistics regarding population, housing, the labour market and regional economics. Applied historical data: 1994-2007 Forecasted data: 2006-2020
rAps more resembles an analysis system rather than a pure forecast system. Consists opportunities for consequence analyses and alternative descriptions of the future ‐ 15 ‐
rAps – interaction between 5 submodels
‐ 16 ‐
Regional labour market monitoring in Sweden – Job barometer and job compass
‐ 17 ‐
Regional labour market monitoring in Sweden today Labour Market Monitoring is based on: Descriptive statistics Employment survey (biannual) – that investigates the workplaces (stratified random sample) – short time forecast of labour market developments in terms of labour supply and demand
Job Barometer (biannual) – circulated to the local placement officers – short time forecast recruitment needs by occupation (ISCO 88)
Regional forecasts/indicators rAps (Scania) – medium and long-term forecasting model – demographic development with special emphasis on the labour force
‐ 18 ‐
Job Barometer Î ”Job Compass” Internet based application of the job barometer • It provides information about the labour market situation and the outlook for 200 occupation categories, divided into 84 regional labour market areas (determined by labour-force commuting patterns). • Outlook: one year ahead Items: Very strong competition for the job
Evident competition for the job
Balance
Slight Very little competition competition for the job for the job
‐ 19 ‐
http://yrkeskompassen.arbetsformedlingen.se/
‐ 20 ‐
Job Compass y Pros & Cons Pros: • Job Compass builds on a simple system (Job barometer) • It is easy to update
Cons: • Job Compass is an estimation of future job-trends done by local placement officers within the Swedish PES • It has no statistical reference frame • It is badly integrated with the employment survey • It is not compatible with the Danish “Labour market balance”
‐ 21 ‐
The Danish Labour Market Balance System
‐ 22 ‐
Surveillance of the labour market • Labour market balance • Forecast for 1 year and 5-10 years • Status for the labour market in the municipalities • Monthly status of the development of unemployment • Analyses of specific topics in the labour market or the results of the jobcentres • Status for the results of the 44 jobcentres every 3 months ‐ 23 ‐
The labour market balance model • Labour market balance – surveillance and frame for the tasks in the jobcenters • Survey to about 15.000 enterprises in the DK twice a year • Skåne-survey 3.500 enterprises • Status for about 1.100 different job categories/occupations • Gives the status of shortages and surpluss of the labour force at regional level • Identify the bottlenecks – severe shortages af labour • Shows in which areas mobility is needed from unemployed, when they have less possibility to find a job
‐ 24 ‐
The labour market balance model - data sources Data on unemployment. Source:
Data on the recruitment situation. Source: Survey
The Central Register of Labour Market Statistics CV data from Jobnet
Data on employment and job turnover. Source: Register-based labour force statistics (RAS and IDA statistics)
among companies
Statistics Denmark
Labour market balance
‐ 25 ‐
Labour market balance – 5 categories Characteristics
Balance?
Unemployment?
Job openings?
Surplus of labour
High
Few job openings
2. Good job opportunities
Balance
No shortage Low unemployment
Many job openings
Very positive employ ment possibil ities
3. Paradox
Shortage
High
4. Labour shortage
Shortage
Low
5. Severe and structural shortage
Severe shortage
Very low
Category 1. Less good job opportunities
‐ 26 ‐
Labour market balance - and economic fluctuations
Less good job opportunities Good job opportunities Paradox Labour shortage Severe and structural shortage Total
dec. 2006 june 2007 dec. 2007 june 2008 dec. 2008 june 2009 38% 41% 31% 25% 11% 26% 37% 34% 45% 50% 64% 65% 4% 3% 3% 3% 1% 0% 14% 12% 6% 7% 9% 4% 8% 11% 15% 15% 14% 4% 100% 100% 100% 100% 100% 100%
‐ 27 ‐
Labour market balance – active use • Frame of planning initiatives and of the daily activities in the jobcenters and other institutions working with labour market issues • Unemployed are obliged to seek jobs with positive employment possibilities • Activation offers must target jobs with positive employment possibilities • As a tool in the dialog with the targetgroups in the employment system • Basis of the guidance dialog according to choise of education/training, especially for young people • Contact to companies starts in the ”balance” ‐ 28 ‐
Development – 1 year forecast Today the model displays the current situation on the labour market Ambition: • To incorporate a forecast in the model • Job opportunities one year from now • For all 1,100 jobtitles
Labour market balance
Disco-Line ‐ 29 ‐
Labour market balance - Website
http://www.brhovedstadensjaelland.dk/ ‐ 30 ‐
Conclusion
‐ 31 ‐
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Mind the gap! • From data to intelligence…
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 1
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Conceptual Considerations to Describe Relevant Process Sequences from Data to Labour Market Intelligence • Prof. Dr. Andreas M. Heinecke FH Gelsenkirchen University of Applied Sciences 45877 Gelsenkirchen Germany
[email protected] Telephone Mobile
+49 209 9596-788 +49 172 9987871
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 2
1
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Agenda • • • • • • •
Working with computers – roles and models Human-Computer Interaction Pitfalls and mistakes Computer Supported Cooperative Work Lacks and problems From data to intelligence and vice versa Attempts to bridge the gap
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 3
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Working with computers – roles and models
(1)
• Computer as a tool for working on a task y predominant model in Human-Computer Interaction y different sub-models computer as toolkit, application as tool application as toolkit, procedure / function as tool
• Computer as a medium y of communication y of cooperation y often used in Computer Supported Cooperative Work / Groupware
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 4
2
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Working with computers – roles and models
(2)
• Computer use in context
Organisation
Aufgabe Task
Mental model M(T) M(O)
M(C)
Computer
M(U)
Input / Output
User Benutzer
Control Computer (Dialogue)
Application (Tool)
according to H. Oberquelle: Formen der Mensch-Computer-Interaktion. In: E. Eberleh, H. Oberquelle & R. Oppermann, Einführung in die Software-Ergonomie. Walter de Gruyter, Berlin 1994. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 5
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Working with computers – roles and models
(3)
• Levels of design of interactive systems
direction of design scope of design
task allocation between humans workflow design human-computer task allocation
ergonomics of organisations
application / tool dialogue
software
input / output
ergonomics
hardware
hardware ergonomics
input / output interface dialogue interface application interface organisational interface
user interface organisational area © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 6
3
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Human-Computer Interaction
(1)
• Levels of control in interactive systems mental activity
Judgement
comparison of actual and desired values
task
I
Interpretation
decisions
facts
objectives
targets
plans
methods
Intention
F
physical activity
Perception
states
structures
symbols
objects
rules
characters
operations
syntax
alphabet
Specification
stimuli
S
signals
actions
Execution
I intellectual level F level of flexible action
sensumotoric level lexical level syntactic level
patterns
semantic level
S sensumotoric level
according to M. Herczeg, Software-Ergonomie – Grundlagen der Mensch-Computer-Interaktion. Oldenbourg, München 2005.
pragmatic level intentional level
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 7
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Human-Computer Interaction
(2)
• Errors on different levels of control Basis of control: Error due to missing knowledge
Judgement
Interpretation
Step 3: Feedback
Error in Judgement
Error of Recognition
Step 1: Goals / Planning
Error in Reasoning
Error out of Habit
Step 2: Memory / Execution
I
Error in Memory Intention
F
Error of Omission Specification
Perception
Error
S
of Motion
Execution
I intellectual level F level of flexible action patterns
S sensumotoric level © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 8
4
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Human-Computer Interaction
(3)
• Strategies against errors (1) Basis of control: Error due to missing knowledge
y help systems, tutorials, Computer Based Training I
Error in Reasoning
y minimising consequences: undo, transactions, backups Error in Memory
y reducing memory load: menus instead of commands, e.g. Error in Judgement
y thorough design of output: messages, codes etc. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 9
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Human-Computer Interaction
(4)
• Strategies against errors (2) F
Error out of Habit
y thorough design of dialogues: avoid confusion, use confirmations etc. Error of Omission
y thorough design of dialogues and input: check completeness etc. Error of Recognition
y thorough design of output: colour perception, Gestalt theory etc. S
Error of Motion
y thorough design of controls, adequate i/o devices © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 10
5
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Human-Computer Interaction
(5)
• Strategies against errors (3) y lexical checks are very simple during input input field for time doesn’t accept characters, e.g. y syntactic checks are simple when a control looses focus format of a field for time is 99:99, e.g. y semantic checks are more difficult when a control looses focus or a form is submitted hours must be < 24, minute must be < 60, e.g. y pragmatic checks are often difficult, depending on context usually when a form is submitted continuation of the journey not before 8 minutes after arrival, e.g. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 11
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(1)
• Visual perception y Be careful using colour / brightness as a code
The middle squares are of same brightness and same size.
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 12
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Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(2)
• Gestalt theory (1) y Law of continuity
Temperature of cooling water Flow of cooling water
Objects, which appear in a simple, harmonic, consistent sequence in space or time, are regarded as belonging together and thus as a figure. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 13
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(3)
• Gestalt theory (2) y Law of continuity interferes with law of similarity
Temperature of cooling water Flow of cooling water
Similar shape has a weak effect, similar colour has a strong effect. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 14
7
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(4)
• Using symbols and colours as codes
Many are few, and absolutely rare is critical (red), whereas rare is good (green) !? © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 15
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(5)
• Designing dialogues y Dialogue 1 ;TF TF: CD COPY DISK FROM: FIX COPY DISK TO: D0 COPY DISK FROM FIX TO D0 YES / NO? Y y Dialogue 2 ;CD CLEAR DIRECTORY YES / NO? Y
Sooner or later this will result in a fatal error on Friday afternoon. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 16
8
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(6)
• Designing messages and texts
Now I see. © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 17
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Pitfalls and mistakes
(7)
• The influence of mental models
• What you see is what you are accustomed to see. y Need for the concept of a triangle
• What you understand is what you want to understand. y The epicycle problem
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 18
9
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Computer Supported Cooperative Work
(1)
• CSCW y A generic term which combines the understanding of the way people
work in groups with the enabling technologies of computer networking, and associated hardware, software, services and techniques (Wilson 1991).
• Groupware y A generic term for specialised computer aids that are designed for
the use of collaborative work groups. Typically, these groups are small project-oriented teams that have important tasks and tight deadlines. Groupware can involve software, hardware, services and/or group process support (Johansen 1998).
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 19
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Computer Supported Cooperative Work
(2)
• Classification with respect to space and time Same time
Different time
Same space
Group moderation Brainstorming support Voting systems
Bulletin board Group workspace
Different space
Video conferencing Application sharing Virtual meeting rooms
Electronic mail Newsgroups Knowledge management systems Group portals
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 20
10
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Computer Supported Cooperative Work
(3)
• 3-C-Classification Support for communication
conferencing systems news systems common information space workflow management systems
Support for coordination © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
group editors electronic meeting rooms
Support for cooperation http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 21
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Computer Supported Cooperative Work
(4)
• Awareness y group awareness as an understanding of the activities of others
which provides a context for your own activity (Dourish and Bly 1992) y main difference to conventional multi-user systems like distributed database systems, e.g. y different types of group awareness
informal awareness group-structural awareness social awareness work space awareness
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 22
11
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Lacks and problems •
Loosely connected groups y changing demands depending on tasks and data within the space-time-classification within the 3-C-classification y difficulties in choosing adequate groupware
• Intercultural groups y different mental models y difficulties in supporting awareness
• Usability of groupware y problems like in any other application y additional technical efforts
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
From data to intelligence and vice versa Computer Model
Slide 23
(1)
Real World
Data
Facts
Intelligence
Mental Model
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 24
12
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
From data to intelligence and vice versa
(2)
• From facts to data y abstraction of real world objects and relationships y measurement and digitalisation y following an explicit or implicit model of the world y using software for data entry and storage
• Some possible problems y insufficient usability of software y insufficient communication y inadequate model y bias between soft facts and hard data
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 25
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
From data to intelligence and vice versa
(3)
• From data to intelligence y data mining y data analysis y interpretation and judgement y deriving strategies and plans
• Some possible problems y insufficient usability of software y insufficient communication y different mental models y ambiguity of data y missing awareness
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 26
13
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
From data to intelligence and vice versa
(4)
• From intelligence to facts y plans and actions y implementation of procedures y legal issues y financial issues
• Some possible problems y insufficient communication y insufficient cooperation y inconsistent strategies y undesired side effects
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 27
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Attempts to bridge the gap
(1)
• Validation of models y Questions Do all actors share the same mental model? Do mental model and computer model match? Do all computer applications implement the same model? Does the computer model contain all relevant data? Does the computer model allow predictions and simulations? y Strategies Discuss mental models Explicate the computer model, data objects and relations Verify models by simulations y Support User-centred design process Groupware, communities Multi-media documentation, CBT © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 28
14
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Attempts to bridge the gap
(2)
• Data input y Questions Are data complete? Are data up-to-date? Are data correct? Are data consistent? y Strategies Check input for all criteria mentioned above Ensure usability of computer applications for data input Hide details of implementation y Support Client software which is suitable for the task Reliable server software (distributed data bases, e.g.) © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 29
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Attempts to bridge the gap
(3)
• Data analysis y Questions Which data are relevant for the task? Are there new data which are relevant? What do these data mean? y Strategies Provide notification to interested users Provide adequate tools for analysis Provide adequate tools for discussion Ensure usability of all tools y Support Data mining, query languages Visualisation software Groupware, communities © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 30
15
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Attempts to bridge the gap
(4)
• Decision making y Questions Do all actors agree on the results of data analysis? Do all actors agree on the action to be taken? y Strategies Provide tools for knowledge management Provide adequate tools for discussion Ensure usability of all tools y Support Knowledge base Simulations Groupware, communities
© Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
Conceptual Considerations to Describe relevant Process Sequences from Data to Labour Market Intelligence RLMM 2009 Copenhagen – 08/10/2009
21/09/2009
Slide 31
University of Applied Sciences Prof. Dr. Andreas M. Heinecke
Attempts to bridge the gap
(5)
• Crucial points y Usability of application software data input data analysis data presentation y Usability of groupware communication cooperation y Awareness other actors new data y Models consistency © Prof. Dr. Andreas M. Heinecke, FH Gelsenkirchen.
http://www.drheinecke.de/fh_ge
21/09/2009
Slide 32
16
Monitoring of Skilled Workers
„European Network of Regional Labour Market Monitoring“
Annual Meeting 2009 in Copenhagen, 8-9/10/09
Application of Conventional Interactive Tools on the Process Sequences: Workshops and Consulting
Mag. Marc Bittner Paul Lazarsfeld Society for Social Research (Vienna)
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Since 2003/04: High Demand for a valid information basis and for a monitoring of the migration potential in the border zone of Austria with Hungary, the Czech Republic and Slovakia in the course of EU-enlargement (with restrictions on the labour market until 2011): Projects LAMO I&II
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Current Project of the PLG: “FAMO – Monitoring of Skilled Workers in the Border Region of Austria with Slovakia“ This project is financed by EFRE-means of the European Territorial Cooperation within the Cross-Border Programme Slovakia-Austria 2007-2013 and cofinanced by the Austrian Ministry for Economic Affairs and Labour.
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
FAMO-Region I
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
The FAMO-Region II
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
The FAMO-Region III: • Very dynamic region, especially on the Slovak side (Bratislava: GDP above EU-average) • Region of Vienna is the centre of economic activities in Austria: „Twin-Cities“: Vienna – Bratislava (1-hour distance!) • High potential for a „mobile region“ (exchange of skilled workers), but: 2004 - 2011: Restrictions on the crossborder labour market on the Austrian side • For certain professional categories hardly any /no restrictions since 2008
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Aim of FAMO: Analysis of the economic development in the region (objective data) Analysis of potential mobility of workers and their qualifications (subjective data; representative surveys) Analysis of qualified labour demand among companies (subjective data; representative surveys) Development of politico-economic measures and of qualification measures on company level
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Informations - Users What Information? data and results of surveys concerning labour migration potencials and labour requirements in combination with objective labour market data Who are the users? •Politicians, labour market experts, regional managers, scientific community •The companies
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
How to bring information to the users: Interactive Tools: •Workshops •Instant Delphi •Consulting Tools with limited or no interaction: • Public Conferences/Presentations • Project-Website
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Before collecting informations for the users: „the scientists are users of information of the users, too!“ • Important to match the interests of the users with the project; not enough to elaborate a concept theoretically alone • Workshops with all relevant stakeholders (donators [public funding,…], labour market experts, regional experts, project partners) to clarify the expectations and adapt the project if necessary • It opens all out into: „Kick-off-meetings“: - external (for all relevant stakeholders; limited interaction) - internal (with the project partners; a lot of interaction)
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Workshops: • Regular partner workshops to reflect the ongoing work and interim results • Workshops with the relevant stakeholders to present interim results (bring info to the user!) and to define special analysis needs (on both sides of the border region) • Final workshops (on both sides of the border region) including political advice/consulting
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Instant delphi as a special tool within workshops: • Surveying the participants of an expert workshop about a certain topic • Instant analysis and confronting the experts with the empiric data & therotical input • Discussion • Re-Surveying: Measuring the changes/revision of attitudes and presenting results again immediately: range of answers decrease, better forecasting
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Conferences/Presentations: • Big public conference with a presentation of the main results in the lead partner country (Austria) • Smaller public conference with a presentation of the main results in the partner country (Slovak Republic) •Users: mainly the media
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Project-Website: • Necessary to have a project website with results
• In our case: not interactive (data too complex to make the data bank user-friendly) but offering fixed tables (structured data/results with „reading examples“)
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Consulting: „Personnel dialogues“ •By analysing the company surveys certain industries (branches: „reconstruction/environment engineering“ & „business services/information technology“) with a high demand of skilled
workers were detected •Within these industries personal appr. 70 (35 AT, 35 SK) dialogues (qualitative interviews) have been carried out to learn more about the qualification needs of the companies and the desired abilities of demanded workers •Development and formulation of qualification options for these industries in a dialogue with the companies (as users!) themselves
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Besides the direct consulting of companies: • 1 Workshop with the relevant stakeholders before starting the personnel dialogues to determine the branches • 1 Workshop with the relevant stakeholders after the personnel dialogues to reflect the process and the results
„European Network of Regional Labour Market Monitoring“
Monitoring of Skilled Workers
Thank you for your attention! Mag. Marc Bittner Paul Lazarsfeld Gesellschaft für Sozialforschung Maria Theresienstraße 24/4 A-1010 Wien Tel.: 01-319 44 45; Fax: 01-319 44 49 E-Mail:
[email protected] http://www.plg.at
Brandenburg State Agency for Structure and Labour GmbH (LASA)
Regional offices for retention of skilled labour The Brandenburg skilled labour monitoring
Carsten Kampe and Daniel Porep Research associates of Brandenburg State skilled labour monitoring
This Project is funding by the European Social Fund and the Ministry of labour, social affairs, health and family-policy of Brandenburg State
EUROPÄISCHE UNION Europäischer Sozialfonds
1
Question
How can we get from labour market data to labour market knowledge and to labour market action?
2
1
Agenda 1. The Project: Regional offices for retention of skilled labour 1.1
Initial Situation
1.2
Project-Constellation
1.3
Responsibilities of the Regional Offices
1.4
Responsibilities of the Brandenburg State skilled labour monitoring
1.5
Areas of activities of the Brandenburg State skilled labour monitoring
2. Communication strategy 2.1 Regional Offices 2.2 Skilled Labour Information System
3. Labour market activities of the project
3
1.1
Initial Situation
Problems of securing skilled labour •
The demographic development
•
Migration of young skilled employees
•
Predominantly SME businesses in Brandenburg
•
Increasing regional competition for skilled labour
Conclusion •
In order to sufficiently support the companies in securing skilled labour the Project “Regional offices for retention of skilled labour” was established in Brandenburg in march 2006.
Intention •
Using the chance at the job market, in association with a solid basis of job market information (and prognoses).
4
2
1.2
Project-Constellation State Government of Brandenburg
Service provider for labour market policy
The Project consists of four working areas:
Team-Coordinatin
Six Regional Offices
Skilled Labour Monitoring
Support for business start-ups and expansion investments
Brandenburg State Agency for Structure and Labour GmbH (LASA) Working areas of the LASA
Subsidy Management
Regional ConsultingTeam
Regional offices for retention of skilled labour
5
1.3
Responsibilities of the regional Offices
• Sensitisation of the business sector regarding the retention of skilled labour • Coordination of partners and measures for securing skilled labour •
Support … the transfer of knowledge and personnel between science and economy … for securing skilled labour in regional growth centres and innovative branches … of measures for vocational education
6
3
1.4
Responsibilities of the Brandenburg State skilled employees monitoring
The skilled labour monitoring has to comply the following information demands: •
The intention is to get an empiric consolidated picture of the economy and the labour market in Brandenburg.
•
Constitutive hereon, current and future skilled employees shortages can be identified.
The user orientated approach results in three central areas of activities: 1. Structure-Analysis of the Brandenburg State labour market (statistics) 2. Business surveys to identify sectoral and local demand on skilled labour 3. Establishment of a distribution system for the monitoring results (communication).
7
Direct Communication Support and implementation of arrangements regarding skilled employees demand
Navigation scores for business surveys
Statistics:
Communication:
Areas of activities of the Brandenburg State skilled employees monitoring
Business surveys:
1.5
Indirect Communication: Provide a public available information platform (FIS) Publication and presentations Output
Sectoral business surveys: • Health-Care Industry Berlin-Bbg.
Local business surveys:
• R&D Services in Brandenburg • Energy Industry in Brandenburg • IKT Industry in Brandenburg
1. Analysis of employment structure Employment structure of the Brandenburg State labour market (Branches/ Vocations/Quali./Age/Sex)
2. Analysis of unemployment Unemployment data of the Brandenburg State labour market.
Institute for labour market and occupation research (IAB) and German Federal Labour Office
3.Analysis of the labour market Vacancies on the Brandenburg State labour market.
German Federal Labour Office
4. Structure analysis of the job market • • •
Age structure Migration movement school leavers
Publicly available statistics 88
4
2.
Communication strategy
•
How can we get from labour market data to labour market knowledge? generate awareness of the labour market situation communication of labour market information to labour market actors
•
challenge: description of the labour market situation in an easy and understandable way
9
2.
Communication strategy
two ways of communication
information supply via
direct communication with the
internet
target groups
skilled labour information
using contacts between
system (FIS)
regional offices and companies or local players of labour and economic policy
10
5
2.
Communication strategy Companies
Regional Office North-West-Brandenburg (Neuruppin)
Regional Office West-Brandenburg (Potsdam)
Regional Office North-East-Brandenburg (Eberswalde)
Brandenburg State skilled labour monitoring incl. FIS
Regional Office South-Brandenburg (Cottbus) local players of labour- and economic policy
Regional Office East-Brandenburg (Frankfurt Oder)
Regional Office Middle-Brandenburg (Schönefeld) State wide players of labour- and economic policy 11
2.1
Regional offices
• regional offices Æ direct contact to local policy actors and companies spreading the information supply of the FIS helping to interpret the data and to formulate needs for action supporting and backing the initiation of concrete activities feedback over the utility of the information supply of the FIS regional offices as mediators
12
6
2.2
Skilled labour information system (FIS)
•
FIS Æ internet information platform
•
objective: improve the information basis for more rational decisions of labour market actors
•
method: describing the labour market situation Æ presentation of analysis results form official statistics Æ publication of results form business surveys Æ links to other relevant information sources
•
core target group: Æ local and federal state wide actors of labour market and economic policy; companies
13
2.2.
Skilled labour information system (FIS) presentation
• succesful communication Æ problem of bounded time budget und bounded foreknowlegde on the side of the target group
information mainly in diagrams simple forms: bar and line graphs every image with short comment
14
7
2.2
Skilled labour information system (FIS) example diagram: employment qualification structure
900.000 830.947
811.036 778.772
800.000 110.550
759.775 732.935
111.567 112.501
700.000
715.500
113.260 75.839
110.918
74.471 72.155
600.000
113.007
698.915
705.763
116.432
125.288
68.941
68.805
724.856
136.206
71.630 71.148
69.526
69.633
500.000 keine Angabe
400.000
FHS/Universität 556.592
539.334
512.427
Berufsausbildung 498.265
300.000
479.093
463.803
447.487
446.519
454.104
keine Ausbildung
200.000
100.000 87.966
85.664
81.689
76.620
71.776
69.164
66.055
65.151
64.913
1999
2000
2001
2002
2003
2004
2005
2006
2007
-
Die Qualifikationsstruktur der SV-Beschäftigten ist im Beobachtungszeitraum stabil. Auffällig ist der Anstieg im Bereich „keine Angabe“.
15
Quelle: Statistik der Bundesagentur für Arbeit, Sonderauswertung des Statistikservice Ost
2.2 Skilled labour information system (FIS) 2.2 Skilled labour information system (FIS) navigtion and content navigtion
skilled labour information system demography 7 contentual fields as first navigation level
employment unemployment corebranches (BKF)
pdf-files for the federal state wide indicators
map with regional districts as secound navigation level
regional cores of growth (RWK) prognosis publication
catalogue of occupations as secound navigation level
16 16
8
2.2
Skilled labour information system (FIS) content
• statistical information in 976 pdf-files • statistical information in over time series Æ identification of development trends • information in regional differentiation • information for specific occupations Æ skilled labour information system
17
3.
Labour market activities •
How can we get from labour market data to labour market knowledge and to labour market action? fist step: successful communication of labour market information to build labour market knowledge second step: initiate, support and back concrete activities
•
establish regional contact persons for local policy actors and companies regional offices take part in many regional networks
18
9
3.
Labour market activities • activating regional labour market structures as central result of regional labour market studies by also using the information of the FIS building networks and working groups for securing skilled labour intensifying vocational training and staff vacancies build up companie cooperation for vocational training developing of regional marketing concepts • occupational orientation for individuals activity guideline for teachers and pupils presentation of the FIS and additional data in career advice events
19
Brandenburg State Agency for Structure and Labour GmbH (LASA)
Thank you for attention! Dr. Carsten Kampe LASA Brandenburg GmbH Wetzlarer Str. 54 14482 Potsdam, Germany +49 331 6002 302
[email protected]
Daniel Porep LASA Brandenburg GmbH Wetzlarer Str. 54 14482 Potsdam, Germany +49 331 6002 342
[email protected]
This Project is funding by the European Social Fund and the Ministry of labour, social affairs, health and family-policy of Brandenburg State
EUROPÄISCHE UNION Europäischer Sozialfonds
20
10
Forschungszentrum Informatik Research Center for Information Technology
Application of Social Software in Current Projects
Dipl.‐ Dipl.‐Inform. Johannes Stammel 15.10.2009
Software Engineering (SE)
Agenda
Introduction FZI Motivation Information Systems Introduction „Hessische Pflegemonitor“ • Project Partners • Roles • Development / Operating Phases Refresh „Reference Model“ Comparison of HPM‐Features to Reference Model Discussion of Features/Challenges/Limitations/Future Work
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
2
Short Introduction FZI Forschungszentrum Informatik, Karlsruhe Research Center for Information Technology in Karlsruhe, Germany
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
3
Current Project: „Hessischer Pflegemonitor“ Monitoring system and information platform for Labour Market in Health Care System and Nursery in federal state of Hessen, Germany Executive Partners:
Contracting Authority: Ministry for Labour, Family, and Health in Hessen Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
4
Current Project: „Hessischer Pflegemonitor“
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
5
Current Project: „Hessischer Pflegemonitor“ Involved Participants Political Agents
Ministry Associated Organisations Statistical Offices Labour agencies
Monitoring Labour Market Worker supply
Education Institutes Schools for health care education.
Worker demand
Care Providers
Hospitals Care Facilities Nursing Homes Outpatient Care
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
6
Current Project: „Hessischer Pflegemonitor“ Political Agents
Ministry Associated Organisations Statistical Offices Labour agencies
use
Regional Research Institute (IWAK) domain-specific management
Monitoring Information System
Technical Developers / Service Providers (FZI)
technical design and management
provide input
Education Institutes Schools for health care education.
Care Providers
Hospitals Care Facilities Nursing Homes Outpatient Care
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
7
SCREENSHOTS
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
8
Information Portal
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
9
Online Questionnaires
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
10
Editing of Online Questionnaires
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
11
Navigation in Published Data
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
12
Published Data
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
13
Reference Model
Facts
Situation in Real World
Facts Æ Data Intelligence Æ Facts Effects resulting from Political Decisions
Data
Surveys using Online-Questionnaires
Model derived from observation of real world.
Data Æ Intelligence Intelligence
Postprocessing of Survey Data and Statistical Evaluation
Political Decisions
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
14
Monitoring Phases Preparation of Survey Execution of Survey Postprocessing / Evaluation of Data
Publishing of Data
• Develop Questionnaire Contents • Create Online‐Questionnaires • Test Online‐Questionnaire • Mail Invitations to Target Groups • Control Online Data Input (Check Database) • Provide User Assistance (via Mail, Phone) • Mail Reminders to Target Groups • Data Conversions for Statistical Evaluation • Data Cleaning, Data Consolidation • Statistical Evaluation of Data
• Create Reports for Online Publication • Update Content Management System
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
15
Sustainable Monitoring Systems
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
16
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
17
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
18
THANK YOU FOR WATCHING!
Dipl.-Inform. Johannes Stammel – Social Software in Current Projects
19
Thomas Goldschmidt FZI Research Center for Information Technology
Copenhagen, 09.10.2009
“What is Web 2.0”
2
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
“What is Web 2.0?"
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
3
“What is Web 2.0?"
4
Not a technological evolution Rather an evolution in how the web is used User is “sender and receiver” in one person Some important instances of Web 2.0 • Weblogs • Wikis • Social bookmark services • Podcasts
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Conventional Web vs. Wikis Wikis invented 1994 by US‐American software developer Ward Cunningham Æ "WikiWikiWeb" „wikiwiki“ is hawaiian and means „fast” Employed in more and more application domains • OpenSource communities • Corporate Wikis • Public administration (citizen participation)
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
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User interaction comparison Activity
Wiki
Static web page
Publish content
Everyone
Webmaster
Perform update
Everyone, anytime
Planned and by responsible persons
Browseability
Free structure, topics, search functionality and backlinks
Prestructured by web designer
Links
Everyone can add links and search pages
Difficult to add
Commenting and validation
Everyone for every (accessible) pages
E‐Mail, Feedback form, etc…
[CunLeu01]
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Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Comparison Metrics for Wikis
[Schmid09][Fuchs06],[Mos08] 7
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Example “Stadt‐Wikis”
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Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Questions
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Feasible for which target groups? Who can add and change content? How can it be kept up‐to‐date? What about legal issues? Can semantic technologies be employed? Interfaces to existing information systems? How can synergy effects be exploited (parallel vs. collaborative)?
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Usability
[Koser09] 10
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Feasibility & Usability of Wikis “Wikis are too damn hard to add content on.” [Davis09] Standards for syntax are quite new • Creole Version 1.0 as standard since 2007
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Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Feasibility & Usability of Wikis The 1% Rule • Only 1% of the entire audience for your content will participate in the generation or validation of the content
Too Many Pages No Structure • Creating aesthetically pleasing, well‐formatted, organized content is also part of a user’s experience
Editing tools • Tools (wiki markup and rudimentary WYSIWYG editor) used to create, edit and maintain content are inaccessible to the vast majority of the potential user base [Davis09] 12
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Recommendations Large Participation Rates • Make sure edit features are accesible and easy to use • The barrier of editing content must be low Organizationally Challenged • Search as a central form of navigation Evolution Curve • In the early stages a new wiki undergoes a huge transformation
•
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while the initial set of baseline content is created After this, content generation is slow, unless it is made an integral part of the corporate or user culture
Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
References [Schmid09] Florian Schmid, 2009. Einsatzmöglichkeiten und Nutzen von Wikis in Kommunalverwaltungen [CunLeu01] Cunningham, Ward & Leuf, Bo. 2001. The Wiki Way – Quick Collaboration on the Web. Addison‐Wesley Longman. Amsterdam [Fuchs06] Fuchs, Ulrich. 2006. Freie Inhalte? ‐ Idee und Realisierung am Beispiel der Wikipedia. [Mos08] Moskaliuk, Johannes. 2008. Konstruktion und Kommunikation von Wissen mit Wikis ‐ Thorie und Praxis. Verlag Werner Hülsbusch. Boizenburg [Oreilly05] O‘Reilly, Tim. What is Web 2.0 ? [Koser09] Koser T., “Flexible Architektur, Usability und Wikis”, DesignCampCologne [Davis09] Davis, Andrew. 2009. The Wiki ‐ New Media Lifecycle Analysis
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Thomas Goldschmidt ‐ Usability and Feasibility of Web 2.0 and Wikis, 09.10.2009 Copenhagen
Labour Market Intelligence in Lombardy Region
An Application of GIS to Local Labour Market Meeting in Copenhagen 2009 Mattia Martini
Gloria Ronzoni
[email protected] Università degli Studi di Milano - Bicocca Via Bicocca degli Arcimboldi, 8 Edificio U7, 2° piano 20126 Milano, Italia
[email protected]
1
Tel: (+39) 02 6448 5841 Fax: (+39) 02 70056 9114 e-mail:
[email protected] web: www.crisp-org.it
CRISP and the Labour Market Observatory of Lombardy region ¾ CRISP - Interuniversity research centre on public service - is scientific partner of numerous labour market observatories (managed by public administrations at regional and local level) ¾ The project “Labour Market Observatory of Lombardy” started in 2005 with a collaboration between CRISP research centre and Lombardy Region ¾ The Observatory aimed at gathering, updating and analysis of data and useful information to monitor, elaborate and analyse effectively the efficacy of employment policies, the educational system, professional training, further education and the regional labour market trends. ¾ The Observatory was set up in 2008 and the CRISP’s main activities are related to: observatory’s information system management data integration and analysis, labour market monitoring at regional level, 2 periodical reports publication.
Agenda Labour market intelligence in Lombardy Region An application of GIS to local labour market Future developments 3
From data to intelligence… (1) The case of labour market DATA
FACTS
9 Longitudinal
9 High mobility
9 Postponed
9 Flexible labour relations
9 Covering the entire population 9 Clustering
INTELLIGENCE
9Change of career paths
9 Data process and analysis 9 Information - Knowledge - Actions 9 Evaluation
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From data to intelligence… (2) DATA
1. Organizational model of the Observatory
FACTS
2. Satistical Informative System
3. Innovative analysis models and techniques
INTELLIGENCE 5
1. The organizational model Labour market Observatory in Lombardy
- Federate value-network model - Mechanism of governance (institutional, contractual, organisational, social, ICT) - Flexible structure of production - New skills (network management and project management) 6
2. The Statistical Information System (SIS) SIS for labour market in Lombardy Critical activities: Integration of different administrative database - Analysis of data schema - Creation of a single integrated archive - Up-dating Data quality Models and techniques for the analysis and fruition of data
Information PES archive – events (hirings and firings) trasmitted by the companies Registry Office archive – personal and demographic information on individuals Revenue Office archive – income information on residents 32.000.000 of records referred to 2.000.000 individuals 7
3. Innovative analysis techniques …develop innovative models and techniques to analyse labour market data, improving the quality of information services and simplifying the decision makers’ activity Examples: Analysis of career paths and identification of target groups Regional medium-term skill needs forecasting
An application of GIS (Geographical Information System) to local labour market 8
Spatial data analysis Collection of methods, techniques and approaches to extract meaningful information from sets of spatial and/or attributive data, represented in geospatial form in modern GIS packages
A crucial element of any spatial project is registering a map with the correct real world coordinates. This procedure is called georeferencing.
9
GIS Overview
Peopl e Data
Procedures
10
The intersection of GIS and BI For Business Intelligence…
1.
Location can have a deep impact on behaviors and outcomes. 2. The ability of a map to present data as usefull information fits well with the Intelligence trend to exploit visualization technology for more efficient communication.
For GIS…
1.Create a common point of access to disparate organizational data sets. 2.Robust enterprise reporting environments which broadens and secures the distribution of GIS enhanced reports. 3.Incorporated sophisticated analytic applications which can now be leveraged by GIS. 11
Monza and Brianza province
Recruitments of private and public companies I semester 2009
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Milano City
13
Milano City
14
Como city
15
Future developments …for an effective labour market intelligence:
Longitudinal data supporting actions and policies > Data analysis complexity simplified data rapresentation for an efficient communication New models of analysis and techniques to display information (ex. GIS and spatial data analysis)
Implementing an evaluation system 16
Employment Research Institute
“Example – Application of ICT services for rural job seekers” Regional Information Network, Copenhagen October 2009
Ronald McQuaid & Colin Lindsay Employment Research Institute, Edinburgh Napier University, United Kingdom
Employment Research Institute
Rurality, service accessibility and the role of ICT – A range of multi-disciplinary approaches and theories are required to fully analyse the issues. Some relevant areas include: – Employability e.g. Commission Of The European Communities, Scottish Govt – Travel to work - intelligent transport systems – Public service and interaction between provider and client – But WHO are the users of the data? – In this presentation I look at Job Seekers
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Employment Research Institute
The study areas • Wick TTWA - remote rural town, NE Highlands • Sutherland TTWA - large, sparsely populated remote rural area, scattered settlements; a key role for ICT in delivering services for unemployed job seekers • West Lothian – peri-urban, centrally located
Employment Research Institute
2
Employment Research Institute
Transport - Potential for Demand Responsive Transport Services to co-ordinate social work, nonemergency ambulance, school bus, public transport, post bus, other public service vehicles. Role of ITS? Link to other Public services
Employment Research Institute
Methodology • National statistics • Survey research (c 500 interviews) • Focus group research (12 groups, 72 participants) • Employer interviews (c 50 employers) • Key actor interviews
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Employment Research Institute
Respondent characteristic Home Internet access
Weekly Internet job search
Beta
Sig.
Beta
Sig.
Level of qualifications
0.270
0.054*
0.438
0.002***
Perception ICT skills
1.340
0.000***
1.167
0.000***
Income group
0.484
0.000***
0.148
0.126
Resident West Lothian
1.257
0.006***
0.517
0.281
Resident Sutherland
1.925
0.000***
1.389
0.011**
Unemployment duration
-0.607
0.074*
-0.731
0.049**
Age 18-24
-1.193
0.004***
-0.897
0.039**
Male
-0.943
0.012**
-0.149
0.689
Children under 18
-0.570
0.108
-0.281
0.455
Constant
-4.170
0.000***
-3.919
0.000***
Employment Research Institute
Survey findings • Internet-based job seeking limited impact • Access to ICT: there is a digital divide – Young people, low skilled, people on low incomes – Long-term unemployed, unqualified
• Remoteness associated with Internet access (Sutherland), but so is ‘connectedness’ (West Lothian) • Use of ICT for job seeking defined by digital divide • Location matters - remote rural job seekers more likely to use ICT to look for work see: McQuaid, R.W., Lindsay, C. and M. Greig (2004) “Re-Connecting’ The Unemployed: ICT and Services for Job Seekers in Rural Areas,” Information, Communication & Society, Vol. 7, No. 3 .
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Employment Research Institute
Focus groups: Is there a role for ICT? “I preferred the old card system…. I used to walk in and look at things and think, ‘I’ll try that’. Now, you’ve got to have a specific idea. I mean, I’m a manual labourer; I don’t have a specific idea.” Peter, 53, unemployed two years, Wick “They’ve got it set up for big urban areas, where you need categories of jobs, but up here there’s no need for it. You could fit a list of local jobs on half a page.” John, 34, unemployed one year, Sutherland
Employment Research Institute
Focus groups: is there a role for ICT? • Perception that Internet database overcomplicated the job search process: – for those seeking to browse across a range of jobs – for those in isolated rural areas with few vacancies
• So internet search protocols do not reflect how people actually want to search the database • Internet-based services seen as providing accessible and accurate job information
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Employment Research Institute
Focus groups: Limits on the role of ICT The terminal gives you a slip. You take the slip to the staff. You ask about the job, they tell you about it. Not very interactive is it? Alan, 51, unemployed six months, West Lothian I’m in my sixties and I know nothing about the new technology. To try to learn about that technology now is way beyond my comprehension. A computer sitting in the corner that’s blank would stay blank as far as I’m concerned. Every job in my working life has been a manual job, I couldn’t work computers. Dennis, 65, unemployed one year, West Lothian
Employment Research Institute
Focus groups: Limits on the role of ICT On informal networks: “It’s about getting yourself established… There are jobs, but word of mouth goes a long way. If you know people, you can get a job. It’s not what you know, it’s who you know.” Andrew, 63, unemployed 7 months, Sutherland On lack of demand: “It sounds great. But number one we need jobs, number two we need transport. Forget about the Internet” Robbie, 45, unemployed two years, Sutherland
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Employment Research Institute
Focus groups: Limits on the role of ICT • The impact of social networking – so database does not reflect the real labour market – crucial in rural areas, marginal in peri-urban areas – formal services often by-passed in rural areas
• The impact of labour demand – lack of opportunities limiting impact of interventions
• Need for ICT resources and facilities that have a local dimension and tap local knowledge
Employment Research Institute
Conclusions • • • •
Job seekers can adapt to ICT-based services An emerging but limited role in rural areas A digital divide affecting the most disadvantaged The design of software must reflect the realities of local labour markets in rural areas • Acknowledging the role of informal networking (how can databases on labour market information capture these?) • Integration with other services and databases
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Employment Research Institute
www.napier.ac.uk/eri/
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NEW ICT TECHNOLOGIES – PERSPECTIVE OF FURTHER EDUCATION AND TRAINING
Jiří Braňka National Observatory for Employment and Training National Training Fund
Národní vzdělávací fond
09.10. 2009
Key Questions for the WG What ICT instruments are relevant for our target group? What advantages and disadvantages have ICT instruments that are applicable for our target group? Is there a gap which cannot be closed by ICT tools? How can conventional tools help?
… je třeba otáčet s velkým předstihem. Národní vzdělávací fond
Target Groups/Users Ministry of Labour and Social Affairs Employers and their HR Development Department Training Providers, Lectors End Users
… je třeba otáčet s velkým předstihem. Národní vzdělávací fond
Importance of new technologies for FET Lack of information – major obstacle for further education and training People have the possibility to work on many positions (because of transferrable skills) but they are not aware of it ICT can gather data on market (data warehouse, online questionnaires) Information system can provide links to other relevant sources ICT can also analyse information systems users (google analytics, eye cameras …) ICT – if used properly - can put all necessary information into one place, search it efficiently help user to decide … jeandtřeba otáčet s velkým předstihem. Národní vzdělávací fond
Importance of Information Systems for FET • Recognition there is a need for further education (identify skills shortage in case of employees – trends and economy drivers influencing demand for jobs and skills) • Recognition „what do I like?“ (profiles and videos of occupations, tasks …) • Recognition „where can (want, need to …) I improve myself?“ (testing of skills) • Finding and comparison of schools and courses (ranking and evaluation) • Getting educated (language, some vocational education or soft skills ..) Národní vzdělávací fond
Importance of Information Systems for FET • Recognition there is a need for further education (identify skills IN DEVELOPMENT shortage in caseSTILL of employees – trends and economy drivers influencing demand for jobs and skills) • Recognition „what do I like?“ (profiles and videos of occupations, tasks …) • Recognition „where can (want, need to …) I improve myself?“ (testing of skills) • Finding and comparison of schools and courses (ranking and STILL IN DEVELOPMENT evaluation) • Getting educated (language, some vocational education or soft CHOICE OF COURSES IS SOMEWHAT LIMITED skills ..) Národní vzdělávací fond
ICT in Further Education and Training - Cons • There is too much information on the Internet with insufficient evaluation of quality of different sources • Lack of optimization of websites for search engines (they are hard or even impossible to find) • Information provided is usually too general or too wide to be useful by general public (trends in sectors and occupational clusters rather than for specific occupations) • Many information systems that overlap and/or are not interconnected • Lack of user focus • Digital divide Národní vzdělávací fond
Ing. Jiří Braňka National Training Fund National Observatory for Employment and Training Opletalova 25 110 00 Praha 1 Tel.: +420 224 500 524 Fax: +420 224 500 502 E-mail:
[email protected] www.nvf.cz/observatory www.czechfutureskills.eu Národní vzdělávací fond
Collection, use and dissemination of data in the service of RLMM: Perspective of Further Education and Training
2 main issues • Information designed for a targeted public • Steering instruments
Information • Nature, content, design, medium • Users: families, young people, unemployed / actors of the field (empl agencies officiers, orientation advisers, firms..) / policy makers
Information: Conventional instruments/ICT Flyers Advertisement in newspapers Any kind of advertisement Face to face interviews (give / collect information) • Inf on websites • • • •
Steering instruments • For facilitating dialog and cooperation: google groups, web‐based platforms, … • For shared knowledge, LM intelligence: – Data collection: how (questionnaire surveys, administrative registration); which kind of data? • Longitudinal • Disaggregated
– Data processing: information synthesized and organizsed. How to deal with complexity? • Relevant indicators • Data mining
La flessibilita' del lavoro e dell'orario in Italia
Report from WG4 (Research) Patrizio DI NICOLA Sapienza University of Rome
All the member organisations: • Diffuse the results of their research to the public • According to their status (public employment services, Universities, private entities) they privilege different targets • Publications and website are the most used instruments
Patrizio DI NICOLA
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La flessibilita' del lavoro e dell'orario in Italia
All the participants • Wish to do more in the field of communication to the research community, and think that the Network could be an occasion to improve circulation of research data and reports
Suggestions • Best usage of common website, to be supplemented by a Network page on Linkedin to be used as common forum • Network researches online, and the email reference of each member organisation • Possible Youtube channel with registration of Conferences and other material supplyed by members
Patrizio DI NICOLA
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La flessibilita' del lavoro e dell'orario in Italia
• Journal of Labour Market Monitoring • Better Communication by everyone (ie: sintesys of research in english language) • Periodic meeting with the research community and other user groups
• Improve communication with press (a Network Press office?)
Patrizio DI NICOLA
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La flessibilita' del lavoro e dell'orario in Italia
Thanks for the attention Patrizio DI NICOLA Sapienza University of Rome
Patrizio DI NICOLA
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