Kokeilujen raportointi ja arviointi - tulokset käyttöön
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Kokeilujen raportointi ja arviointi - tulokset käyttöön. Sitran Kalle Niemisen esitys Kokeiluaamukahveilla 5.10.2016
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Kokeilujen raportointi ja arviointi - tulokset käyttöön
- 1. Kokeilujen raportointi ja arviointi – Tulokset käyttöön Kokeiluaamukahvit 5.10.2016 Kalle Nieminen, asiantuntija, Sitra Twitter: @NieminenKalle
- 2. Kokeilu on oppimisen väline 2Sitra • Kalle Nieminen • 5.10.2016 •
- 3. Kokeilu on yhteiskunnallisen muutoksen väline 3Sitra • Kalle Nieminen • 5.10.2016 •
- 4. Transition management Geels Sitra • Kalle Nieminen • 5.10.2016 • 4 Regiimitaso Landscape-taso Niche-taso Radikaalit innovaatiot Sosiaaliset innovaatiotKokeilut Markkinat Teknologiat Politiikka Kulttuuri Arvot Megatrendit Infra
- 5. Sitra • Kalle Nieminen • 5.10.2016 • Millaisia kokeiluja? Experiments Experimental design Experimental research Ei oppimisprosessia tai systemaattista tiedonkeruuta Systemaattiset kokeilut ja tiedonkerääminen. Tulosten edelleen kehittäminen tutkimuksen keinoin. Suunnitelmalliset kokeilut ja systemaattinen tiedonkeruu Oppiminen ja tiedon jakaminen Lähde: Nesta, (2015), Better public services through experimental government 5
- 6. Elinvoima-foorumien tavoitteena on: 1. Muodotaa poikkiyhteiskunnallinen muutosagenttien verkostosto 2. Luoda tulevaisuuden visio sekä tunnistaa siihen perustuvia muutostarpeita 3. Tunnistaa hyvät ideat ja edistää niitä kokeilukulttuurin keinoin 4. Vahvistaa moninäköalaista yhteiskunnallista keskustelua Sitra • Kalle Nieminen • 5.10.2016 • Sitran esimerkki: Kokeilut osana Elinvoima-foorumeja n.600 50 IDEAA KUULUTUKSELLA KOKEILUA 6
- 7. • Riippumattomat poikkiyhteiskunnalliset raadit ja foorumit • Kokeilujen tulosten kerääminen tekijöiden omin sanoin ja kuvin • Palvelumuotoilu ja etnografia • Kokeilujen toteutus avoimesti ja jatkuva viestintä • Sidosryhmien osallistaminen aina kokeilujen valinnasta toteuttamiseen ja tulosten arviointiin 7Sitra • Kalle Nieminen • 5.10.2016 • Sitran esimerkki: kokeilujen tulosten raportointi
- 8. Sitra • Kalle Nieminen • 5.10.2016 • 8
- 9. 9Sitra • Kalle Nieminen • 5.10.2016 • “I don’t remember what you said, but I remember how you made me feel”
- 10. Kokeilu on oppimisen väline 10Sitra • Kalle Nieminen • 5.10.2016 • Kokeilu on onnistunut, jos se tuottaa uutta tietoa
- 11. Kokeilu on yhteiskunnallisen muutoksen väline 11Sitra • Kalle Nieminen • 5.10.2016 • Kokeilu on onnistunut, jos sen tuottama tieto hyödynnetään laajemmassa (kehitys)prosessissa
Editor's Notes
- Particularly when aiming at large structural reforms in the complex social construction of the welfare state, one time radical changes in one welfare sector may produce serious and unpredictable outcomes in others, and cause significant social unrest. Transition management research (e.g. Gunderson 2012 <check!>, Loorbach 2010) suggests that when aiming at wide cross-sectoral transitions, a principle of change in incremental steps or learning by doing can be more successful than once-and-for-all radical change. Evolutionary policy-making (Hämäläinen 2013) is an approach enabling the stepwise overcoming of rigidities. Utilizing a combination of strategic intelligence activities, collective learning and envisioning processes, and practical experiments helps to overcome the mental inertia of key stakeholders, and to better consolidate their interests. There are many methods used for experiments and there is a craft to doing this well – for example, too much measurement too early can kill the most promising ideas (Google would never have survived a rigorous assessment in its first couple of years, and the same is probably true of everything from Surestart to the PFI)
- Particularly when aiming at large structural reforms in the complex social construction of the welfare state, one time radical changes in one welfare sector may produce serious and unpredictable outcomes in others, and cause significant social unrest. Transition management research (e.g. Gunderson 2012 <check!>, Loorbach 2010) suggests that when aiming at wide cross-sectoral transitions, a principle of change in incremental steps or learning by doing can be more successful than once-and-for-all radical change. Evolutionary policy-making (Hämäläinen 2013) is an approach enabling the stepwise overcoming of rigidities. Utilizing a combination of strategic intelligence activities, collective learning and envisioning processes, and practical experiments helps to overcome the mental inertia of key stakeholders, and to better consolidate their interests. There are many methods used for experiments and there is a craft to doing this well – for example, too much measurement too early can kill the most promising ideas (Google would never have survived a rigorous assessment in its first couple of years, and the same is probably true of everything from Surestart to the PFI)
- Particularly when aiming at large structural reforms in the complex social construction of the welfare state, one time radical changes in one welfare sector may produce serious and unpredictable outcomes in others, and cause significant social unrest. Transition management research (e.g. Gunderson 2012 <check!>, Loorbach 2010) suggests that when aiming at wide cross-sectoral transitions, a principle of change in incremental steps or learning by doing can be more successful than once-and-for-all radical change. Evolutionary policy-making (Hämäläinen 2013) is an approach enabling the stepwise overcoming of rigidities. Utilizing a combination of strategic intelligence activities, collective learning and envisioning processes, and practical experiments helps to overcome the mental inertia of key stakeholders, and to better consolidate their interests. There are many methods used for experiments and there is a craft to doing this well – for example, too much measurement too early can kill the most promising ideas (Google would never have survived a rigorous assessment in its first couple of years, and the same is probably true of everything from Surestart to the PFI)
- Particularly when aiming at large structural reforms in the complex social construction of the welfare state, one time radical changes in one welfare sector may produce serious and unpredictable outcomes in others, and cause significant social unrest. Transition management research (e.g. Gunderson 2012 <check!>, Loorbach 2010) suggests that when aiming at wide cross-sectoral transitions, a principle of change in incremental steps or learning by doing can be more successful than once-and-for-all radical change. Evolutionary policy-making (Hämäläinen 2013) is an approach enabling the stepwise overcoming of rigidities. Utilizing a combination of strategic intelligence activities, collective learning and envisioning processes, and practical experiments helps to overcome the mental inertia of key stakeholders, and to better consolidate their interests. There are many methods used for experiments and there is a craft to doing this well – for example, too much measurement too early can kill the most promising ideas (Google would never have survived a rigorous assessment in its first couple of years, and the same is probably true of everything from Surestart to the PFI)