Avainsana-arkisto: foresight

Hesiod, Hypnos, Foresight, and Anticipation

Jari Kaivo-oja:

Hesiod and Hypnos

Hypnos (Greek word: Ὕπνος) was the personification of a dream in Greek mythology, the Roman equivalent of which was Somnus. He was the twin brother of Nyks, the night, and Erebos, darkness, and of Thanatos, death. Hypnos is depicted in ancient art as either a naked young man with wings on the temples or a bearded man with wings on his shoulders.

Greet poet Hesiod, a Greek poet who wrote about Hypnos and his role in Greek mythology in his epic poem “the Birth of the Gods” (Θεογονία, Theogonia), describing the ancestry and lineages of the gods in Greek mythology. The poem comprises 1,020 verses. The literary form of the Birth of the Gods became established in the 500s before the dawn of time. At that time, new parts were added to the poem, such as verses 901–1020 at the end of the classic poem. Traditions continued to develop even after the work of Hesiod.  

However, the work of Hesiod has often been used as a reference work for Greek mythology. Hesiod is generally regarded by Western authors as the first written poet in the Western tradition to regard himself as an individual persona with an active role to play in his subject. We can easily find the relevance of this special topic in the actor-network theory of foresight. Among other things, Herodotus considered Hesiod an authority regarding the names of the gods and their attributes (Herodotos: Historiateos II.53, Herodotus 1993).

From the historical perspective, Hesiod should be referred to as a basic fundamental source of narrative storytelling in the fields of foresight and anticipation. Abductive reasoning (also called abduction, abductive inference, or retroduction) is an elementary issue in storytelling and narrative thinking, and it is a form of logical inference that seeks the simplest and most likely conclusion from a set of observations. Abductive reasoning was formulated and advanced by American philosopher Charles Sanders Peirce beginning in the last third of the 19th century (see good motivation of this issue in Peabody 1975. Josephson & Josephson 1994, Peirce 1998, Walton 2001, Carson 2009, Milojević & Inayatullah 2015, Syll 2023).

In the of economic thought, Hesiod can be seen as a central source of thinking before Adam Smith and some scholars keep Hesiod as a father of humanistic economics (see Brockway 2001, Gordon 1975).

Futures dialogues, future-oriented dreams, and visions can be defined to be forms of socio-therapy

Quality of sleep has a very significant impact on human thinking, as sleep is essential for brain function and cognitive performance. During normal sleep, the brain (1) consolidates memories, (2) processes information, and (3) repairs itself. When we don’t get enough good quality sleep, our cognitive performance can suffer in various ways. For example, our ability to focus, pay attention, and concentrate can be impaired. We may also experience memory problems and have difficulty learning and retaining new information. Research has shown that sleep deprivation can also negatively affect our mood and emotions, causing us to feel irritable, anxious, and depressed. In addition, lack of sleep can compromise our decision-making ability, judgment, and creativity. On the other hand, getting enough high-quality sleep has been shown to enhance cognitive performance, improve memory consolidation, and enhance overall brain function. (see e.g. Walker 2017, Nelson et al. 2022). Quality of sleep is thus very important for human creativity and human understanding.

We should also see the importance of dialogue as a form of socio-therapy. Futurists are creating all kinds of dialogues and from this perspective, we should understand in a better way that these dialogues can be interpreted to be a form of socio-therapy (see Bohm & Edwards 1991, Bohm 1992). Only a few futurists understand their societal role as socio-therapists.

Hypnos and dialogical narratives

Greek mythology can often be seen as a starting point for dialogical narratives. In the context of foresight and qualitative anticipative storytelling research, one can always lean on classic stories and myths. Greek mythologies can be associated with basic human problems, challenges, and humanism.  

There are many good reasons to analyze Hypnos and Hypnos´s relation to foresight and anticipation research. According to some sources, the personifications of dreams, thousands of oneiros, would be descendants of Hypnos, but they are reported in older sources to be descended directly from Nyks (Hesiod, trans. 1914). Among them is mentioned as Morpheus, who announced prophecies in dreams, both Fobetor and Fantasos, which were sources of false visions and dreams. (See Ovid Books, 1922). Thus, Hesiod can be linked also to the pre-history of visionary thinking, foresight, and anticipation.  

The ability to dream is not a self-evident issue

In many ways, Hypnos symbolizes the importance of dreams for people and their decision-making. The ability to dream is strongly associated with dreams and their quality. Sleep is crucial for our brain’s cognitive functions, including memory consolidation and problem-solving. Getting enough restful sleep can enhance our ability to think creatively and solve problems, which can lead to more visionary thinking during our waking hours. Dreams and sleep are important components of visionary thinking because they allow our minds to explore and imagine beyond the constraints of our waking reality.

Dreams and sleep are closely connected to visionary thinking because they allow our minds to enter a state of creativity and imagination that is often difficult to access during our waking hours. Normally, during the dreaming phase of sleep, our brains are highly active, and we are able to create vivid and often surreal experiences that can be interpreted as a form of visionary thinking. Dreams can be a source of inspiration for artists, writers, other creative artists, and scientists, as they often contain imagery and themes that are both symbolic and deeply personal.

Hypnos, the legacy of foresight research, and anticipation theory

Anticipation and foresight are closely related concepts, but there are some key differences between them. Very often these concepts remain undefined and are seen as the same things.

Normally, anticipation refers to the act of expecting or predicting something to happen in the future. It involves recognizing a future event and making plans or preparations based on that expectation. Anticipation can be based on past experiences, current trends or patterns, or intuition.

On the other hand, foresight activities involve a deeper level of thinking about the future. Foresight involves considering multiple potential scenarios, analyzing the potential consequences of each, and making strategic plans to prepare for those possibilities. The “fully-fledged foresight” includes the choice of foresight methods, networking and stakeholder analyses, and models of decision-making. Foresight requires a broader perspective and a willingness to consider multiple perspectives and possibilities. It requires also a basic understanding of stakeholders and networks and decision-making criteria. The choice of foresight methods can be based on the FAROUT criteria (future orientation, accuracy, resources, objectivity, usefulness, and timelines).

Perfect rationality, imperfect rationality, problematical rationality, or irrationality?

In other words, anticipation is more reactive, and focused on a specific event or outcome, while foresight is proactive, and focused on anticipating and planning for a range of possible outcomes and their consequences. This critical difference leads logically to different relations to the Hypnos issue and especially to visionary thinking and leadership. Actually, it may be not easy to be very visionary, if we are focused only on a specific issue or event. As noted by Robert K. Merton Professor of Social Sciences (Jon Elster 1978, 1979) there is a descending sequence from perfect rationality, through imperfect and problematical rationality, to irrationality in human thinking. Rational explanation is not the same analogous thing as understanding a thing or phenomenon. We have seen many very problematic examples of siloed anticipation studies where a potential balance between reductionist and holistic thinking is not much questioned or less critically discussed (see updated discussion of Anderson 2022, Jackson 2019).

In Figure 1 we can observe three basic scientific approaches: the fully holistic research approach, the mixed holistic and reductionist approach, and the fully reductionist approach. All futures researchers (and maybe all others researchers too) should be aware of these three basic methodological alternatives.

Figure 1. A holistic research approach and a reductionist research approach.

We should always define, whether are we going to explain or understand human behavior because these two human activities are different activities and lead us to different methodological choices. A holistic research approach typically supports understanding phenomena, but a reductionist approach may help in explaining phenomena. Boundaries between these methodological approaches (solutions) are not always very clear and there are also boundary options (mixed holistic and reductionist approaches).

In the future, we may be more visionary with “fully-fledged three foresight pillars” of methods, network analyses, and decision-making models. As many times noted in various scientific discussions, a loss of one or two foresight research pillars leads surely to an unsuccessful foresight process. A deep understanding of methodological choices, network/stakeholder context, and decision-making model with decision criteria, is surely needed for a successful foresight process.

To summarize, anticipation is about predicting a specific outcome and taking action to prepare for it, while foresight involves a more comprehensive and strategic approach to planning for the future, considering multiple possibilities and their potential consequences. Hopefully, our bright and dark journeys in the Hypnos world will lead us to think about many alternatives, even surprising options, wild card scenarios, and not business-as-usual alternatives.

Unfortunately, Business-As-Usual (BAU) scenarios often dominate siloed and highly theoretical and siloed anticipation studies. It is good to be aware that whenever we abandon the use of many perspectives in the context of future-oriented research, we do not make use of holistic thinking and end up with siloed reductionist studies.

The most low-quality foresight research is to present the BAU scenario and almost identical other scenarios as supposedly alternative scenarios. I have noticed these kinds of problematic methodological issues in the context of several foresight studies (see for example, Kaivo-oja, Keskinen & Rubin 1997, Kaivo-oja, Rubin & Keskinen 1998).

Jari Kaivo-oja

Research Director, PhD, Finland Futures Research Centre, Turku School of Economics, University of Turku;
Adjunct Professor (University of Helsinki, University of Lapland, and University of Vaasa);
Professor (Social Sciences), Kazimiero Simonavičiaus University, Vilnius, Lithuania


References and background literature

Anderson, Monica (2022) The Red Pill of Machine Learning. Experimental Epistemology. Web:

Bohm, David & Edwards, Mark (1991) Changing Consciousness: Exploring the Hidden Source of the Social, Political, and Environmental Crises Facing Our World. HarperCollins. San Francisco.

Bohm, David (1992) Thought as a System. Routledge. London and New York.

Brockway, George P. (2001) The End of Economic Man: An Introduction to Humanistic Economics, 4th edition (2001), p. 128.

Carson, David (2009) The Abduction of Sherlock Holmes. International Journal of Police Science & Management. 11 (2), p. 193–202.

Dosi, Roberto (2017) Introduction to Anticipation Studies. Anticipation Science 1. Springer.

Elster, Jon (1978) Logic and Society. Contradictions and Possible Worlds. John Wiley & Sons. Chichester and New York,

Elster, Jon (1979) Ulysses and the Sirens: Studies in Rationality and Irrationality. Cambridge University Press. Cambridge.

Evelyn-White, Hugh G. (1964) Hesiod, The Homeric Hymns and Homerica. Loeb Classical Library, Vol. 57, Harvard University Press, Boston, USA.

Gordan, Barry J. (1975) Economic Analysis Before Adam Smith: Hesiod to Lessius (1975), First Edition, Basingstoke and London, p. 3.

Griffin, Jasper (1986) Greek Myth and Hesiod, in J. Boardman, J. Griffin and O. Murray (eds.), The Oxford History of the Classical World. Oxford University Press, Oxford, p. 88.

Hardie, Philip, Barchiesi, Alessandro, and Hinds, Stephen (1991) Ovidian Transformations: Essays on Ovid’s Metamorphoses and its Reception. Series: Proceedings of the Cambridge Philological Society Supplementary Volume. Volume: 23. Cambridge Philological Society,

Herodotos: Historiateos II.53

Herodotus (1993) Historiae. Volume II: Books V-IX. Third Edition. Edited by K. Hude. Oxford Classical Texts. Oxford: Oxford University Press. Oxford.

Hesiod, Homeric Hymns, Epic Cycle, Homerica. Translated by Evelyn-White, H G. Loeb Classical Library Volume 57. London: William Heinemann, 1914.

Inkinen, Sam & Kaivo-oja, Jari (2009) Understanding Innovation Dynamics. Aspects of Creative Processes, Foresight Strategies, Innovation Media and Innovation Ecosystems. Finland Futures Research Centre. Turku School of Economics. FFRC eBooks 9/2009. Turku. 

Jackson, Michael J. (2019) Critical Systems Thinking and the Management of Complexity. Responsible Leadership for a Complex World. First Edition. John Wiley and Sons. UK and USA.

Josephson, John R. & Josephson, Susan G., (eds.) (1994) Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press. Cambridge, UK; New York.

Kaivo-oja, Jari (2017) Towards Better Participatory Processes in Technology Foresight: How to Link Participatory Foresight Research to the Methodological Machinery of Qualitative Research and Phenomenology? Futures, Volume 86, February 2017, p. 94–106.

Kaivo-oja, Jari, Keskinen, Auli & Rubin, Anita (1997) Eurooppa-selonteko ja tulevaisuudentutkimus [European reporting and futures research]. FUTURA, Vol. 16. No. 1, p. 6–15.

Kaivo-oja, Jari, Rubin, Anita & Keskinen, Auli (1998) Proaktiivisa toimijoita vai koekaniineita Euroopan tietoyhteiskuntalaboratoriossa? Lipposen hallituksen tulevaisuusselonteon kommentointia tulevaisuudentutkimuksen näkökulmasta [Proactive Actors or Guinea Pigs in the European Information Society Laboratory? Commenting on Lipponen’s Government Report on the Future from the Perspective of Futures Research]. Tulevaisuuden tutkimuskeskus. Turun kauppakorkeakoulu. FUTU-julkaisu 4/98, Turku.

Kaivo-oja, Jari & Roth, Steffen (2023) Strategic Foresight for Competitive Advantage: A Future-oriented Business and Competitive Analysis Techniques Selection Model.  International Journal of Forensic Engineering and Management. Forthcoming. ©Inderscience Publishers.

Keenan, Michael, Loveridge, Dennis, Miles, Ian & Kaivo-oja, Jari (2003) Handbook of Knowledge Society Foresight. Prepared by PREST and FFRC for the European Foundation for the Improvement of Living and Working Conditions. Final Report, Annex B, European Foundation. Dublin. Web:

Milojević, Ivana & Inayatullah, Sohail (2015) Narrative Foresight. Futures, Volume 73, October 2015, p. 151–162.

Moe, Sverre and Kaivo-oja, Jari (2018) Model Theory and Observing Systems. Notes on the Use of Models in Systems Research. Kybernetes, Vol. 47, Issue: 9, p. 1690–1703. 

Nelson, Kathy L., Davis, Jean E. & Corbett, Cynthia F. (2022) Sleep Quality: An Evolutionary Concept Analysis. Nursing Forum. Vol. 57(1), p. 144–151.

Ovid (1922) Metamorphoses. Translated by More, Brookes. Boston, Cornhill Publishing Co.

Peabody, Berkley (1975) The Winged Word: A Study in the Technique of Ancient Greek Oral Composition as Seen Principally Through Hesiod’s Works and Days. State University of New York Press.

Peirce, Charles Sanders (1998) On the Logic of Drawing Ancient History from Documents. The Essential Peirce, Volume 2, Selected Philosophical Writings (1893-1913), Peirce Edition Project, Indiana University Press, Bloomington and Indianapolis, p. 107–9.

Rothbard, Murray N. (1995) Economic Thought Before Adam Smith: Austrian Perspective on the History of Economic Thought, vol. 1, Cheltenham, UK: Edward Elgar Publishing (1995), p. 8;

Syll, Lars P. (2023) Deduction, Induction, and Abduction. In Jesper Jespersen, Victoria Chick, Bert Tieben (Eds.) Routledge Handbook of Macroeconomic Methodology. Routledge, London.

Walker, Matthew (2017) Why We Sleep. The New Science of Sleep and Dreams. Simon and Schuster Inc. New York, USA.

Walton, Douglas (2001) Abductive, Presumptive and Plausible Arguments. Informal Logic. Vol. 21 (2), p. 141–169.

West, Martin Litchfield (1966) Hesiod: Theogony, Oxford University Press. Oxford. 


Picture: Pixabay.com

A Humble Reminder: Ambient Black Sea Foresight Activities before the Russo-Ukrainian War

Jari Kaivo-oja:

Today we are living in spring 2022 and the Ukrainian war continues with deepening human tragedies. There seems not to be an end to violence and brutal aggression in Ukraine (BBC News, War in Ukraine).  We can define that the Russo-Ukrainian War is an ongoing war between Russia (together with pro-Russian separatist forces) and Ukraine. It began in February 2014 following the Ukrainian Revolution of Dignity, and initially focused on the status of Crimea and the Donbas, internationally, recognised as part of Ukraine.

About ten years ago, I was personally working as a foresight expert in seven Black Sea countries organising foresight workshops promoting peace and preventing conflicts. The Black Sea Peacebuilding Network (BSPN) was originally designed to increase civil societies’ contribution to conflict resolution in the Black Sea region. The BSPN has allowed civil societies in Armenia, Azerbaijan, Georgia, Moldova, Russia, Turkey and Ukraine to work towards a common goal and to produce positive precedents. The project created networks for national and regional civil societies to build greater regional capacity in conflict transformation by operating at the grassroots level in the region.

All seven member Black Sea countries had their own Expert Councils for Conflict Transformation and Peace Initiatives. The expert councils elaborated alternative and unbiased recommendations for conflict resolution and peace initiatives. The overall goal of the project is to enable civil society organisations in the seven Black Sea countries to reach a critical mass in order to become full-fledged stakeholders in conflict resolution, and thus pressure regional governments to work towards sustainable peace in the region. The anticipated impact is enhanced national civil society peacebuilding capacity, ultimately aimed at promoting sustainable peace in the Black Sea Region. The Black Sea Peacebuilding Network is financed by the Finnish Ministry for Foreign Affairs.

Our CMI report “Foresight Results and Insights to the Black Sea Peacebuilding Network” (Kaivo-oja et al. 2012) noted:

“Today security issues are no longer simply state- and military-centric issues. This report thus aims to analyse the background factors behind violent conflicts in the Black Sea region. Many critical security studies have noted that the so-called billiard-ball model with simple causal relationships does not work in international politics (Booth 2004). Processes leading to conflicts are today more or less complex and multilayered (see e.g. Ohmae 1999, Buzan et al. 2007). In many studies, cross-impact analyses are needed (see Gordon & Hayward 1968, Alter 1979, Gordon 1994, Hough 2007, Buzan, Ware & Hoffman-Martinot 2007). The challenge of this report was to identify key drivers, which can potentially increase the probability of violent conflict. We also identify those trends, which have the biggest impact on violent conflict.”  

This was our target and we reached this target in our CMI foresight study. The foresight analyses in this CMI report acted as a driver of reflective mutual social learning processes among policy-makers that stimulated the generation of common public policy visions. We wanted also to provide information and knowledge to civil society organisations. The foresight analyses in this old CMI report provide still country-specific information and knowledge and trend-related information and knowledge. Many other reports did not provide this kind of information.

Like in 2012, also today NGOs and civil society organisations, are playing a very important and influential role in modern democratically oriented societies. It is good to remember their important strategic role in the struggle toward more sustainable and peaceful work. It is also good to note that after 10 years of publication, this Black Sea Peacebuilding Network’s CMI report is still relevant reading for decision-makers.

One could critically say that the Expert Councils for Conflict Transformation and Peace Initiatives were not able to prevent Ukrainian conflicts and Ukrainian war. Other hard and soft powers were more influential and we did not give peace a chance to happen. This is a partially true statement, but if we are more critical, we can also claim that the Expert Councils for Conflict Transformation and Peace Initiatives was successful to postpone, and partly cancelling a potential, larger Black Sea crisis. Instead of the Ukrainian war, we could today observe all seven countries’ violent Euro-Eurasian war. The worst-case scenario has not yet materialised in the Black Sea region. This kind of broader potential conflict was a starting point of the CMI project in the Black Sea Region.  As we noted in this CMI report:

“This report is focused on first year key activities, which include analyses of key trends, which could lead to violent conflicts in the Black Sea region. Conflicts can be local, national or broader international conflicts. From these alternative perspectives we want to present some results which are relevant for (1) the whole Black Sea region, (2) each BSPN county, and also (2) cross-border conflicts.”

With this blog message, I would like shortly to point out that the war in Ukraine has not come as a surprise to producers and professionals of the international intelligence community, and to the foresight experts like me. There were many real-life activities to prevent potential conflict situations and war before the Ukrainian crisis and war.  In the field of political science, Professor Alpo Rusi’s book “Dangerous Peace” (2021, orig. 1991) with earlier editions was quite a visionary book with various early warnings for policymakers. Unfortunately, we missed a complete success in this case. However, early warnings were given by many researchers and experts.

Often only such important strategic foresight reports from experts are not bothered to read with great care. Also, national and international political agendas are often congested with many other topics. This is, of course, regrettable, as it was also in the case of the COVID-19 crisis.

In the current situation, we need a road map for peace in Ukraine and Europe. Every war has been brought to an end at some point. Often the cost of war suffering rises to high levels and human suffering becomes unbearable.

I personally hope that the international community of futures, anticipation, and foresight researchers, and other specialists will make an important contribution to achieving this objective, sustainable peace in Europe and in the world.

Jari Kaivo-oja

Research Director, PhD, Finland Futures Research Centre, Turku School of Economics, University of Turku;

Adjunct Professor (University of Helsinki and University of Lapland);

Professor (Social sciences, Kazimiero Simonavičiaus University, Vilnius, Lithuania)

References

Alter, S. (1979) The evaluation of generic cross-impact models. Futures. Vol. 11., No. 2, 132–150.

Booth, K. (2004) Critical Security Studies and World Politics. Boulder: Lynne Rienner Publishers.

Buzan, B., Ware, A. & Hoffman-Martinot, V. (2007) People, States and Fear: An Agenda for International Security Studies in the Post-Cold War Period. 2nd Edition. Colchester: ECPR Press.

Gordon, T. J. (1994) Cross-impact Method. United Nations University Millennium Project, p. 1–2.

Gordon, T. J. & Hayward, H. (1968) Initial experiments with the cross-impact matrix method of forecasting. Futures, Vol. 1, 100–116.

Habegger, B. (2010) Strategic foresight in public policy: Reviewing the experiences of UK, Singapore, and the Netherlands. Futures. Vol. 42, 49–58.

Hough, P. (2007) Understanding Global Security. 2nd Edition. New York: Routledge.

Kaivo-oja, Jari, Ville Brummer, Ville, Miettinen, Erno & Mirziashvili, Mikheil (2012) Foresight Results and Insights to the Black Sea Peacebuilding Network. Interim Technical Report. Black Sea Peacebuilding Network. Crisis Management Initiative (CMI). Martti Ahtisaari Centre.

Ohmae, K. (1999) The Borderless World: Power and Strategy in the Interlinked World. London: Harper Paperbacks.

Rusi, A. M. (2021, orig. 1991) Dangerous Peace: New Rivalry in World Politics. London and New York: Routledge.

Picture: pixabay.com

Monitieteinen ennakointipalvelu tukemaan käytännön ennakointityötä

Tämä kirjoitus on julkaistu myös Futuurissa 3/2021

Vuoden 2021 alussa käynnistetty monitieteinen ennakointipalvelu Foresight Driven Research (FDR) tukee Turun yliopiston sidosryhmien käytännön ennakointityötä yhdistämällä tulevaisuusnäkökulman monitieteiseen osaamiseen. Palvelu tuottaa ennakoinnin toimintamalleja elinkeinoelämälle ja laajemmin koko yhteiskuntaan.

Tulevaisuuden tutkimuskeskus ja kauppakorkeakoulussa niin ikään toimiva Laboratory of Business Disruption ovat yhdistäneet voimansa ja rakentaneet palvelun, jonka tarkoituksena on palvella käytännönläheisesti yliopiston sidosryhmiä niiden ennakointiin ja tulevaisuuksien rakentamiseen liittyvissä kysymyksissä.

Tutkimuksessa (Rohrbeck & Kum 2018) on havaittu, että tulevaisuusorientoituneiden yritysten kasvunopeus on jopa 200 % suurempi kuin yritysten, jotka eivät tee ennakointityötä. Samoin niiden tuottavuus on 33 % verrokkeja parempi. Erityisesti tuottavuuden kehityksellä on tärkeä yhteys myös kansantalouden hyvinvointiin. Tulevaisuuden kasvu voi toisaalta perustua vain kestäviin valintoihin. Saman aikaisesti monelle organisaatiolle on kuitenkin epäselvää, miten ennakointityötä käytännössä tehdään.

Palvelun rakentaminen sai alkunsa, kun havaittiin ilmeinen tarve yhdistää Tulevaisuuden tutkimuskeskuksen ennakointiosaaminen yliopiston monitieteellisyyteen. Muun työn ohessa vuoden intensiivisen kehittämisen tuloksena sai alkunsa monitieteinen ennakointipalvelu, Foresight Driven Research (FDR). Sen avulla voidaan etsiä parempia vastauksia monenlaisiin kompleksisiin ja systeemisiin haasteisiin tieteenrajoja ylittäen. Palvelun rakentamista varten on myönnetty Turun yliopiston strategista rahoitusta. Varsinais-Suomen liitto puolestaan rahoittaa kokonaisuuteen liittyvä ennakointitiedon palvelualustan kehittämistä.

Palvelun suunnitteluvaiheessa käytiin laajaa keskustelua kaikkien Turun yliopiston tiedekuntien ja yliopiston sidosryhmien kanssa. Keskustelun tavoitteena oli testata aloitetta ja kehittää sitä saadun palautteen avulla. Käytyjen keskustelujen perusteella voi todeta, että ennakoinnin ja monitieteisen yhteistyön merkitys on tunnistettu ja siihen ollaan valmiita.

Toimeksiantoja ja kehittämistä

– Vaikka FDR-ennakointipalvelun rakentaminen on vasta käynnistynyt, otimme heti työstettäväksi toimeksiantoja myös asiakkailta. Vuoden 2021 alkupuolelta asti on ollut käynnissä eräs kiinnostava yrityscase, jossa tuemme asiakasyrityksen käytännön ennakoinnin osaamisen ja ennakointikulttuurin rakentamista, kertoo professori Toni Ahlqvist Tulevaisuuden tutkimuskeskuksesta.

Kyseiseen toimeksiantoon liittyvä intensiivinen suunnittelu- ja kohtaava työ on tehty ”etätyömoodissa” hyödyntäen mm. Miro-nimistä ohjelmistoa ja etäneuvotteluja usealla aikavyöhykkeellä. Tämän yrityshankkeen lisäksi on vuoden aikana tehty myös muita asiakastoimeksiantoja ja useita uusia hankkeita on vireillä.
– Tarve käytännön ennakointiosaamiseen nousee toistuvasti esiin sidosryhmäsuhteissa ja asia on korostunut entisestään kuluvan poikkeuksellisen vuoden aikana, toteaa Disruptiolaboratorion johtaja Thomas Westerholm.

Systemaattinen ennakointi on havaittu keskeiseksi tavaksi lisätä olemassa olevien toimintojen resilienssiä, kykyä havaita potentiaalisia mahdollisuuksia ja uhkia, kohdata ongelmia ja toipua niistä. Monitieteellisen ennakointipalvelun tarkoituksena onkin juurruttaa ennakointi luontevaksi osaksi organisaatioiden arkea, Westerholm tiivistää.

Akateeminen tutkimus ja käytäntö toimivat parhaimmillaan saumattomasti yhteen

Tulevaisuustietoa on paljon ja sitä tuotetaan lisää jatkuvasti, mutta se pitää tuoda helposti saataville ja hyödynnettäväksi. – Jo olemassa olevan tulevaisuustiedon koostaminen ja sen analysointi tarjoaa lukuisia mahdollisuuksia ennakointityön vaikuttavuuden kasvattamiseksi. Ennakoinnin palvelualusta voi toimia yhteisenä ajankohtaisen ennakointitiedon kirjastona, sanoo palvelualusta-kokonaisuuden projektipäällikkö Tero Villman.

Nämä eivät ole uusia asioita Tulevaisuuden tutkimuskeskukselle: onhan keskuksessa tehty kansainvälisesti tunnustettua ennakointityötä jo lähes 30 vuotta. – Juuri nyt keskitymme sidosryhmien tarpeisiin järkevästi kiinnittyvän formaatin rakentamiseen. Kyse ei ole monimutkaisista asioista ja haluamme auttaa asiakkaitamme selkeyttämällä ja systematisoimalla ennakointiin liittyvää tekemistä, toteaa FDR-palveluista vastaava Keijo Koskinen.

FDR:n työtä tukevaan ohjausryhmään on saatu vahva kansainvälinen akateeminen ja elinkeinoelämän edustus. FDR-palvelusta tullaan viestimään lisää kuluvan vuoden aikana. Kokonaisuuden ylös ajossa ei ole haluttu kiirehtiä. – Kun rakennamme formaatin huolella, voimme skaalata sitä helpommin. Kehitystyötä tullaan toki jatkamaan koko ajan, mutta perustan on oltava kunnossa, toteaa Koskinen.

Kiinnostuitko? Ota yhteyttä. FDR käy mielellään keskusteluja
sidosryhmien kanssa.

Keijo Koskinen, kehityspäällikkö
Tulevaisuuden tutkimuskeskus
keijo.koskinen(a)utu.fi
, puh. 044 594 1659

Artikkelin kuva: Keijo Koskinen

When visionary leadership works or does not work?

Key variables and aspects of change management and real-life implementation of strategic visions


Jari Kaivo-oja:

In politics and economics, the aim is to strive for visions and for a high level of strategic excellence. Whether it is managing climate change, managing the coronavirus crisis, dynamic industrial policy, political parties or business models of firms and corporations, we have to pay attention to visionary leadership and the operating styles that are in line with it.

Most of organisations in business and society are interested in change management and implementation. In the field of futures research, there has always been interest in visions, missions and strategies. The aim has been to identify visions, targets, goals and means to achieve these.  Goal rationality and instrumental rationality are central to all human activities. How goals and means are combined determines value rationality of organisations and all human agencies in political, commercial and social life.

Niccolò Machiavelli noted a long time ago:

“It ought to be remembered that there is nothing more difficult to take in hand, more perilous to conduct, or more uncertain in its success, than to take the lead in the introduction of a new order of things. Because the innovator has for enemies all those who have done well under the old conditions, and lukewarm defenders in those who may do well under the new. This coolness arises partly from fear of the opponents, who have the laws on their side, and partly from the incredulity of men, who do not readily believe in new things until they have had a long experience of them.”
(Niccolò Machiavelli, The Prince, year 1513).

One key aspect of future oriented change management is to understand that there are push and pull mechanisms of change processes. Steve Morlidge (Satori Partners ) and Director, C.P.A. Steve Player (Beyond Budgeting Round Table, BBRT) have presented the Change Equation:

D x V x S > R,

where D stands for dissatisfaction, V stands for vision, S stands for first steps and R stands for resistance. We must think about V, D, S and R together as interrelated variables.

V = Vision for the future
D = Sense of dissatisfaction with the present
S = Knowledge of first steps, and
R = Sources of resistance.

This Change Equation is interesting in the sense that it contains a strong statement of the basic prerequisites for the success of visionary leadership. Visionary leadership literature has placed quite a lot of emphasis on the design of the vision itself, as it has been seen to act as a resource magnet and facilitate the mobilisation of tangible and intangible resources for the desirable future. Less attention has been paid to the basic variables of visionary leadership defined in the Change Equation.

Defining the Change Equation is perhaps more important than previously understood in the field of management sciences. The Change Equation states that dissatisfaction, vision and initial steps should be able to reverse the forces of resistance so that the desired vision itself can be realised with some time delay. Poorly defined vision, misjudged initial steps, poorly understood level of dissatisfaction and misconceptions about resistance to change prevent visionary leadership goals from being achieved.

Perhaps increasingly important it would be to be able to assess the relative weight of the three critical variables to the left of the change equation, because if one of the three variables has a high weight in relation to other variables, it should be invested more in management and in visionary leadership than other less weighty variables.

A good definition of vision alone is therefore not enough as a preconditional term for successful visionary leadership. In general, it is therefore important to understand that the vision itself does not yet determine a full success of the visionary management model alone. Dissatisfaction and initial steps are really relevant variables in visionary management process of organisations, whether we discuss about leadership models in companies, political parties or other social organizations.

It is time to rethink the processes of futures orientation and foresight.  

Jari Kaivo-oja

Research Director, Adjunct Professor, PhD
Finland Futures Research Centre, Turku School of Economics
University of Turku

Manufacturing 4.0 – strategies for technological, economic, educational, and social-policy adoption (MFG 4.0) & Transition to a Resource Efficient and Climate Neutral Electricity System (EL-TRAN). Both projects are funded by the Academy of Finland’s Strategic Research Council .

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Background literature

Holstius, Karin & Malaska, Pentti (2004) Advanced Strategic Thinking. Visionary Management. Publications of Turku School of Economics and Businss Administration. Serie A-8:2004. Turku. Web: malaska (utupub.fi)

Kotter, John P. (1996) Leading Change. Harvard Business School Press: Boston, MA. Web: Leading Change – Book – Faculty & Research – Harvard Business School (hbs.edu)

Machiavelli, Niccolò (1513) The Prince. (Orig. De Principatibus / Il Principe). Web: The Prince | Treatise by Machiavelli, Summary, & Facts | Britannica

Manyika, James (2008) Google´s View of the Future of Business. An Interview with CEO Eric Schmidt. The McKinsey Quarterly. September 2008. Web: (5) Google’s view on the future of business: An interview with CEO Eric Schmidt (researchgate.net)

Morlidge, Steve & Player, Steve (2010) Future Ready. How to Master Business Forecasting. John Wiley and Sons. Chichester, United Kingdom. Web: Future Ready: How to Master Business Forecasting | Steve Morlidge, Steve Player | download (b-ok.cc)

Welch, Jack & Byrne, John A. (2001) Jack: Straight from the Gut. New York: Warner Business Books. Web: Jack: Straight from the Gut by Jack Welch (goodreads.com)

Picture: Jan Vašek in Pixabay 

The Pandemic Triggered a Futures Tsunami

Professor Emerita Sirkka Heinonen:

Systematic thinking about futures has been practiced in our society at various levels – in the academic world and in educational institutions, in the field of public administration at the state, regional and municipal levels, as well as in companies and non-governmental organisations. However, it is the pandemic that has now unlocked the heavy gates to the futures realm – opened the eyes of actors to see the critical nature of foresight and the exponentially growing need for futures work.

Anticipating the future is no longer a luxury in ivory towers or a proactive preoccupation for the few, but simply a categorical imperative for us all to survive in a turbulent world. My blog title is ambiguous – first, it means this wide-ranging and dramatic “reawakening to the futures” triggered by a tsunami-like pandemic – all organisations should have a strategy for the future. A forward-looking futures strategy means that, in addition to and on top of a normal strategy, a longer-term strategy is developed that looks at issues and causal chains broadly and using peripheral vision. Let us look at what is happening in the world around us and in the operating environment beyond our own domain. The long term can boldly reach even a hundred years from now (Heinonen et al. 2018).

Organisations need to create future trajectories, firstly, on how to cope with the conditions of a pandemic and on what all the entangled effects it will have in the short and long term. Second, the blog title suggests that the future will come as a surprise – i.e. it is pregnant with wild cards and black swans. Surprises are the new normal (Heinonen et al 2017). Like a tsunami, traditional practices and accustomed ways may turn upside down or towards totally new paths. Such a tsunami of the future can also mark the beginning of a new “good” – the budding seeds of development are strengthened with flexibility and perseverance. At its worst, a future tsunami could mean that the “futures Angst” suppresses hope for the future (Interview of Steinmüller). Concerns about illness, death, and livelihoods can blur the future into non-existence. This should be prevented in every way, and education, research and scientific communication have a serious role to act here. (Ministry of Education and Culture)

We cannot avoid uncertainties and surprises, we cannot control them, but instead we can use futures knowledge to anticipate them, to prepare for them, to make them less harmful and to become futures resilience. The actual surprises may still be coming and rise from the multifaceted effects of the pandemic on society. A pandemic is like an earthquake – its aftermath is at least equally unpredictable.

A Pandemic is Testing Future Resilience

The pandemic caused by the corona virus shook and will shake Finland and the whole world for a long time to come. It acts as an epochal divider in the pre-pandemic and post-pandemic periods. The progression of the pandemic and its consequences, as well as the measures and attitudes triggered by the crisis, appear to be quite different in different countries. A pandemic tests society’s futures resilience – how well society is able to react to a situation, decide on relevant measures and emerge from a crisis. Futures resilience is first and foremost about how society emerges from a pandemic-induced crisis and how the factors that led to it are identified and managed. Second, and at least as important element in futures resilience, is to learn from what has happened and from the cause-and-effect chains of events for the future – through systematic forward thinking and holistic proactivity, and anticipation of uncertainties and risks.

The pandemic converges with the basic principles of thinking about the future – it stops us to reflect things in a broader and longer perspective, and calls into question many things: efficiency thinking, global production chains, free movement, air travel, and eating habits – to name a few.

This pandemic struck like a tsunami, it took us by surprise, although in several foresight studies and scenarios, a pandemic has been brought forward as a standard example of a surprising event that, when realised, has dramatic effects. However, scenarios generally have not delved deeper into the consequences of a pandemic for society. But now the pandemic itself has also caused a “scenario tsunami” – scenarios about the pandemic, its effects and survival have been constructed around the world. The newly released COVID-19 scenarios of the Millennium Project (Millennium Project COVID Scenarios Team 2020) were commissioned by the United States Red Cross. They can be modified and used for deliberation of coronavirus scenarios in different contexts and countries. The set of traditional three scenarios (BAU, pessimistic and optimistic) is based on the results of the four delphis (MP RealTime Delphis), which are annexed to the report. The confidence of the general public and the cohesion of society turned out to be the alleged necessary criteria for surviving the pandemic with decency. The risk in the combat against the virus is to compromise freedoms – especially that of assembly and mobility. At both national and global levels, there is a need for strong and wise leadership that distinguishes between what is known, what is assumed, and what is mere disinformation or purposeful misleading.

For the first time, the summer seminar of the Finnish Society for Futures Studies (FSFS) “The Future on the Watershed” was organised completely virtual. As part of the FSFS’s 40th anniversary, a short film competition was also held to visualise life after the pandemic. The winner was the dream-like work “Isolation 3.20” by Amanda Gutierrez and Tuomo Tiisala, which evoked diverse thoughts and images. As a kind of sparring (outside of the competition) from the organising team, I made my own video manifesto about life after the pandemic “We will Survive”. Visualisation of foresight material is becoming an important channel for futures communication and interaction. I call for bold efforts for visualisation of scenarios, for example in the form of videos.

A Place to Stop and Rethink

With the limitations caused by a pandemic, it is good to stop to think about what you consider important in life. This pause also gives way to the cultural model of slow life. Not everything needs to be done efficiently and on a tight schedule. A slow life model forced by a pandemic leads many to virus-free summer cottage living. The periphery can become a refuge for densely populated city dwellers. Indeed, one of the effects of the pandemic may be linked to the rethinking of rural / urban stances and the dismantling of the dichotomy. The importance of the natural environment such as forests, parks and coasts is gaining momentum. Reducing physical contact for fear of limitations and infection has opened windows and doors to nature and physical exercise. If outdoor activities in nature remain a permanent form, even for those who did not do so much before the pandemic, one can even talk about the effects on public health. There will also be new demand for space design and landscaping. For urban planning, the pandemic will be an interesting and urgent challenge – how to add green spaces to the urban structure and how to enable citizens to move around in natural sites and urban spaces, even in the conditions of a viral epidemic. As the latest “discovery” washed ashore in the pandemic tsunami, i.e. as a recent new research topic, the forms, ways and innovations of using a safe urban space for a pandemic or other emergency come to mind. The same applies to the possibilities offered by the use of geographic information systems (GIS) and artificial intelligence (AI).

During the coronavirus pandemic and its worrying economic and social impacts, humanity has received its first global “timeout”. We should rethink all institutions. Can we use the time of this stop wisely? Let us think about what does not change and what we do not want to change? Humans are social animals. Our need for human interaction and connection to natural will not diminish. Solidarity, helping and caring are the qualities that make a human being truly human.

This blog post is based on a longer statement I was invited to write to the Committee for the Future of Finnish Parliament where I also included a PESTEC table on the effects of the corona pandemic. The Committee for the Future has compiled all the expert opinions it has requested on the good and bad consequences of the coronary pandemic in the short and long term published in June 2020.

Sirkka Heinonen
Professor Emerita
Member of the Club of Rome
Chair of the Helsinki Node of the Millennium Project


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References

Heinonen, Sirkka (2020) The pandemic tests the futures resilience of Finnish society – Peeks into the consequences of the corona pandemic in the short and long term, p. 21–30. In: Report of the Parliamentary Committee for the Future TuVJ 1/2020 The good and bad effects of the corona pandemic in the short and long term. (In Finnish)

Heinonen, Sirkka – Kurki, Sofi – Ruotsalainen, Juho – Salminen, Hazel – Kuusi, Osmo & Zavialova, Sofia (2018) One hundred years of blame or clay – why and how to anticipate one hundred years? Futura 1/2018, 5–18. (In Finnish)

Heinonen, Sirkka – Karjalainen, Joni – Ruotsalainen, Juho & Steinmüller, Karlheinz (2017) Surprise as the New Normal – Implications for Energy Security. European Journal of Futures Research (2017) 5:12.

Heinonen, Sirkka (2020) Interview of Karlheinz Steinmüller on the deepening VUCA World and Surprises by Sirkka Heinonen at the Finnish Futures Research Centre (FFRC), Helsinki 2020. Audio and text.

Millennium Project Covid Scenarios Team (2020) Three Futures of the COVID-19 Pandemic in the United States January 1, 2022. Millennium Project. Washington D.C.

Ministry of Education and Culture (2020) Researchers’ views on the effects of the corona epidemic and the measures needed. Ministry of Education and Culture, 3 April 2020. Sirkka Heinonen / FFRC one of the authors.

Finnish Society for Futures Studies (2020) We Will Survive – Life Post-Pandemic. Organizer’s PR contribution video to the Call for short Films by the Finnish Society for Futures Studies (FSFS).

Tsunami photo: Smim Bipi at Pixabay.com

Diverse foresight helps in facing surprising futures

Matti Minkkinen, Laura Pouru & Aleksi Neuvonen:

The state of emergency caused by the coronavirus crisis has raised many kinds of discussions and reflections on the future throughout the society. We see new calculations and models of virus progression every day, and risks and uncertainties are considered by both decision makers and citizens. It can be said that the crisis has momentarily opened up the future: at the moment, the future does not seem like a self-evident continuation of the past, but instead many things are now open to us as uncertain and possible.

Foresight helps in responding to the changing world

The corona crisis highlights the importance of foresight. Foresight can be defined as organized, explicit work on the future that provides an understanding of alternative futures and strengthens decision-making. Foresight is, of course, necessary in the midst of a crisis. However, it is even more important to anticipate possible crisis situations and to act proactively so that crises do not develop.

As the world changes rapidly, the importance of foresight becomes even more pronounced. If the events in China’s Wuhan Wildlife Market can shake the world with their consequences, what kind of upheavals can the future hold? Changes do not happen one at a time, but simultaneously: the climate, work, democracy and many other things are all changing.

Finland has an internationally acclaimed national foresight system. It includes, for example, the Government’s report on the Future, the ministries’ futures reviews, foresight work carried out at the regional level, the Parliament’s Committee for the Future and various thematic foresight concentrations. Foresight is conducted in Finland by a wide range of actors and networks in the public sector, companies and the third sector. Indeed, national foresight can be seen as an ecosystem rather than a system. The National Foresight 2020 project mapped the situation of Finland’s national foresight ecosystem through surveys, interviews and workshops, and proposes measures to develop the ecosystem. How should the Finnish foresight system be developed in order to meet the challenges of the 2020s?

The many faces of foresight

The research project discovered that considering the rapidly changing circumstances, the foresight work conducted in the Finnish foresight system is one-sided. For instance, futures information is mainly collected from one’s close environment, and for the majority of actors, foresight is based on forecasting likely developments rather than exploring new opportunities or surprises. There are exceptions, but a large number of organizations consider relatively narrow future horizons in their foresight work. If we look straight ahead towards the probable future, will we notice the events in the Wuhan Market? Would it be worth looking at the world more like a horse, with eyes on both sides of the head?

There is no one correct perspective on foresight. Foresight work requires several different perspectives and methods depending on the situation. Let’s go back to the coronavirus as an example. Once the crisis has erupted, short and medium-term forecasts and modeling are needed. In the longer term, a broad radar is needed to sense where the next Wuhan Market events could be. In the coming years, we will probably listen with more sensitive ears to epidemiologists’ interpretations of the world than in the last ten years. But at the same time, one should be able to identify new phenomena that have not yet been experienced. However, in addition to being prepared, we also need positive visions of the kind of future society that we want to build. We must also be able to look beyond the crisis.

Different approaches to foresight can be illustrated with six foresight frames (Minkkinen, Auffermann & Ahokas 2019). The predictive and planning frames are needed in day-to-day operations and to meet the challenges of the near future. For example, the regional foresight work on labor, education and competence needs largely looks at probable developments. Scenaric and visionary frames look further into the future and take into account more uncertainties and alternative options. For example, the joint scenario work of the Finnish ministries seeks to outline alternative development paths for major transformations, such as the changing working life.

In an unpredictable and rapidly changing world, an increasingly critical and transformative approach to foresight is needed. In order for national foresight to meet the challenges of the 2020s and beyond, actors need to be able to constantly question and renew their own perceptions of the future. However, uncertainty also means that new opportunities open up for making the future. For example, innovations related to ecological sustainability can open up new paths, even if the future at the end of the road is not clear.

Strengthening the national foresight ecosystem

In our research material, only a small number of actors placed a strong emphasis on surprises, experiments and proactively influencing their operating environment in their foresight work. The same actors also tended to favor more unusual methods (such as games) and sources of information (such as information collected from citizens). However, it is particularly this kind of broad view of foresight that needs to be increased in national decision-making, in addition to forecasts, scenarios, and planning.

The national foresight ecosystem needs all the foresight approaches described above. Actors who do foresight in different ways can find their places in the system and complement each other’s foresight work by networking. The Finnish National Foresight Network coordinated by the Prime Minister’s office is already doing valuable work in bringing various foresight actors together. In the foresight ecosystem updated for the 2020’s, better dialogue, information flow and coordination are needed to ensure that the foresight objectives and approaches of the different subsystems best serve national foresight as a whole. In addition, the link between conducted foresight work and policy-making needs to be strengthened through new approaches. The relatively weak international links of the ecosystem also need to be strengthened. The growth soil of the ecosystem can be nurtured by democratizing foresight work and developing futures literacy as a general capacity within society. In this way, Finland can be better prepared before the next crisis situation comes knocking on the door.

Matti Minkkinen (MA), Project Researcher, PhD Researcher, Finland Futures Research Centre, University of Turku

Laura Pouru (MA, M.Soc.Sc), Project Manager, PhD Researcher, Finland Futures Research Centre, University of Turku

Aleksi Neuvonen (PhD), Senior Advisor, Demos Helsinki

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Pouru, Laura – Minkkinen, Matti – Auffermann, Burkhard – Rowley, Christopher – Malho, Maria & Neuvonen, Aleksi (2020) Kansallinen ennakointi Suomessa 2020. Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja 2020:17. 91 s. ISSN 2342-6799, ISBN PDF 978-952-287-948-6.
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Photo by kazuend on Unsplash

An Emerging Technology Challenge: Digital Twins

Mikkel Stein Knudsen and Jari Kaivo-oja:

With Digital Twins, organisations can not only create mirrors of real-world objects and processes but integrate physical and virtual worlds through bidirectional flows of information. With real-time simulations and intelligent algorithms, Digital Twins shifts the focus of data-driven operations from ex-post monitoring to ex-ante predictions and optimization in increasingly complex environments. Digital Twins are said to revolutionize the manufacturing industry, but it may also have major impacts on future studies and the general ways organisations anticipate the future. A Digital Twin development can be a new advanced form of scenario planning.

Finland Futures Research Centre takes part in the project Manufacturing  4.0  (2018–2020) for the Strategic Research Council at the Academy of Finland. Our contribution includes technological foresight related to the identification of promising technologies for the future manufacturing landscape in Finland. The concept of digital twins has featured heavily in our early scanning, as one of the most enterprising new advanced manufacturing technologies.

As the embodiment of Cyber-Physical Systems, Digital Twins has become one of the most hyped technologies of the so-called Industry 4.0. According to a comment in Nature in September 2019, “Digital twins – precise, virtual copies of machines or systems – are revolutionizing industry” (Tao & Qi, 2019). Many major companies already use digital twins, while half of all corporations may use them by 2021 (Gartner). For example, in Finland, Nokia is focusing strongly on Digital Twin challenges.

Digital twins are part of a vast shift in the world’s economy towards ‘mirror worlds’ as a new dimension of human life based on and fuelled by data. The emergence of these mirror worlds will bring about a distinct economy, and require new markets, infrastructure, institutions, businesses, and geopolitical arrangements, according to a recent special report in The Economist.

What are Digital Twins?

In its original form, a Digital Twin is the virtual model of a process, product or service, or ‘a digital representation that mirrors a real-life object, process or system’ (Panetta, 2018). While no general and precise definition of the features and scopes of Digital Twins has been reached (Cimino et al., 2019), a consensus appears of certain characteristics distinguishing ‘real’ Digital Twins from related virtual replications.

Kritzinger et al., 2018 operate with concepts of Digital Models, Digital Shadows, and Digital Twins (see figure 1). What sets Digital Twins apart is the real-time automatic dataflow in both directions between the physical and digital objects.


Fig. 1. From Digital Model to Digital Twin (own representation, after Kritzinger et al., 2018)

Talkhestani et al., 2019 elaborates this further including four necessary features in their definition of a Digital Twin: (1) A Digital Twin has to be a digital representation of a physical asset, including as realistic as possible models and all available data on the physical asset. (2) The data has to contain all process data, acquired during operation as well as organizational and technical information created during the development of the asset. (3) A Digital Twin has to always be in sync with the physical asset. (4) It has to be possible to simulate the Digital Twin of the behavior of the physical asset.

Fig 2. The conceptualisation of Digital Twin.

Summarily, as seen in Figure 2, we conceptualize digital twins as possessing five constitutive features separating them from other virtual models: They need to have counterparts or equivalents in the physical world (be it a person, an organ, a product, a machine, a traffic system, or an organisational environment/infrastructure). They need to provide a fair (= as precise as possible) representation of its equivalent characteristics. They must be updated automatically and continuously (in real-time, or close-to-real-time). It must be possible to simulate the environment of the real-world counterpart on the digital twin (achieving what Qi et al. deem ‘integration between entity DT and scenario DT’). Finally, there must be synchronization directly from the digital twin to its counterpart, so that the physical asset can also mirror new directions or alterations happening virtually to the digital twin.

Digital twins in systems theory and modeling

Until now, digital twins can roughly be separated into two categories (Zhidchenko et al., 2018). Either, they assist with the analysis of very complex systems (like transportation systems), or they provide real-time analysis of relatively small systems (like a vehicle). For complex systems, digital twins are means of providing a safe space for simulation of various potential developments and impacts. The idea of digital twins is thus born out of being a (much cheaper) virtual replacement of the identical twin spacecraft NASA always produced to have suitable test spaces. By using digital twins, it becomes possible to perform simulations using the real-time characteristics of their physical counterparts, even while these are in operation. This has enormous potential to limit operational risks, as well as for optimization issues.

However, the distinction between the two categories of digital twins is increasingly blurred. Digital twins for real-time analysis is being applied to more and more complex systems. If future digital twins, as seems likely, acquire functionalities – enabled by artificial intelligence and machine learning – which allow them to interact with other digital twins in a ubiquitous environment, even digital twins of simple systems will themselves be entities forming complex systems.

Personal Digital Twins

Digital twins are also moving out of the manufacturing halls and on its way into, well, you. Signals regarding digital twins for health are already appearing manifold. Last month, The Economist reported on ambitious cardiac-research plans to create digital twins of human patients’ hearts. Digital twins are also potentially important enablers for personalised medicine through “high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient (Björnsson et al., 2020).

In Finland, novel ideas of personal digital twins also appear in the context of the national AuroraAI-programme, which aims for Finland to ‘enter the AI age in a human-centric and ethically sustainable way’. A YouTube-video from the projects illustrates how you can ‘Let your digital twin empower you’. Futurist Osmo Kuusi has been a key contributor to development (cf. Kaivo-oja et al., 2019). Various technologies in the EU Foresight report “100 Radical Innovation Breakthroughs for the Future – The Radical Innovation Breakthrough Inquirer” indicate the high technical feasibility of digital twins.

Finding Finland’s niches

Manufacturing 4.0 believes Finland has the potential to be a leader in the Digital Twin-revolution, e.g. by developing and applying Digital Twins in strong niche markets. Department of Futures Technologies at the University of Turku has developed world-class digital models utilizing virtual reality/augmented reality, now commercialised through the spin-off company CTRL Reality. Researchers demonstrated their model of a virtual forest at the Finland Futures Research Centre’s Futures Fair in December 2017; this model was recently highlighted in the journal Nature calling for the world to Make more digital twins.

Other projects in Finland related to national strengths involve the environmental impacts of mining and mobile cranes. Usage of Digital Twins is also high on the agenda for the development and modernizations of ports in Pori and Rauma and as an element of the further take-off of the Robocoast-cluster. In Turku, digital twins are integral to the vision of creating a Smart and Wise Turku. Smart City Digital Twins is a major global research and investment area, and Finnish pioneer cities like Turku lead the way. Relying on a massive amount of data collected at high-speed from millions of sensors, there are finally also clear links between the rollout of digital twins and new demands for 5G and 6G networks.

What Digital Twins mean for futures studies?

The rapid trajectory of Digital Twins links with the disciplines of foresight and futures studies in several ways. First, it is in itself a trend to follow, analyse and speculate about the consequences of. It is also an embodiment of megatrends such as digitalisation, personalisation, and altered human-machine interactions.

At the same time, the very idea and definition of a digital twin as a vehicle of simulating the future makes digital twins an inherently futures-related technology. Futures studies-researchers and foresight practitioners must learn to utilize this as an important new tool in their toolbox. As one of its founding ideas, digital twins can provide a “safe simulation environment” to test future novelties, new products, new services, new organizational structures, new medicines, and smart infrastructures. This safety-oriented futures approach may be the most desirable way to use and apply digital twins systems thinking, and it could develop into a great futurist tool. How digital twins can supplement the identification of weak signals would seem like another fruitful avenue of investigation for future futures research.

Simultaneously, the theoretical baggage of futurists and system thinkers may be useful in shaping the field of digital twins. At present, the field seems primarily occupied by engineers and technology optimists, who may not always be aware of potential blind spots in their simulation models. A push might be needed to functionally integrate weak signals and wild cards into the simulations of digital twins. This will be another great topic for futures researchers in the years to come.

Mikkel Stein Knudsen
Project Researcher (M.Sc., Pol. Science), Finland Futures Research Centre, Turku School of Economics, University of Turku    

Jari Kaivo-oja
Research Director, Finland Futures Research Centre, Turku School of Economics, University of Turku.

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The project ‘Manufacturing 4.0’ has received funding from the Finnish Strategic Research Council [grant number 313395]. The project “Platforms of Big Data Foresight (PLATBIDAFO)” has received funding from the European Regional Development Fund (project No 01.2.2-LMT-K-718-02-0019) under a grant agreement with the Research Council of Lithuania (LMTLT).

 

References and additional information:

Cimino, Chiara et al. (2019). “Review of digital twin applications in manufacturing”. Computers in Industry, 113. DOI.

Grieves, Michael & Vickers, John (2017). “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems”. In Kahlen, FJ. – Flumerfelt, S. & Alves, A. (eds.) Transdisciplinary Perspectives on Complex Systems. Springer, Cham. DOI.

Kaivo-oja, Jari et al. (2019). ”Digital Twins Approach and Future Knowledge Management Challenges: Where We Shall Need System Integration, Synergy Analyses and Synergy Measurements?”. In Uden, L. – Tinh, IH. & Corchado, J. (eds.) Knowledge Management in Organizations. KMO 2019. Communications in Computer and Information Science, 1027. Springer, Cham. DOI.

Kritzinger, W. et al. (2018). ”Digital Twin in manufacturing: A categorical literature review and classification.”. IFAC-PapersOnLine, 51(11), 1016–1022. DOI.

Lu, Y. et al. (2020). “Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues.” Robotics and Computer-Integrated Manufacturing, 61. DOI.

Qi, Q. et al. (2019). “Enabling technologies and tools for digital twin”. Journal of Manufacturing Systems, in press. DOI.

Saracco, Roberto (2019). “Digital Twins: Bridging Physical Space and Cyberspace”. Computer, 52(12), 58–64. DOI.

Talkhestani, B.A. et al. (2019). ”An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System.” at – Automatisierungstechnik, 67(9), 762-782. DOI.

Tao, Fei & Qi, Qinglin (2019). ”Make more digital twins”. Nature. DOI.

Zhidchenko, V. et al. (2018). ”Faster than real-time simulation of mobile crane dynamics using digital twin concept”. Journal of Physics: Conference Series, 1096.

Warnke, Philine – Cuhls, Kerstin – Schmoch, Ultich – Daniel, Lea – Andreescu, Liviu – Dragomir, Bianca – Gheorghiu, Radu – Baboschi, Catalina – Curaj, Adrian – Parkkinen, Marjukka & Kuusi, Osmo (2019). 100 Radical Innovation Breakthroughs for the Future – The Radical Innovation Breakthrough Inquirer. Foresight-report. European Commission. Brussels. DOI.

Cover picture: Pixabay.com

CELEBRATING FUTURES MEANS CELEBRATING LIFE

Sirkka Heinonen:

Futures thinking has finally become an academic discipline (in a few universities) while its pragmatic and light version – called foresight – has emerged as a critical strategic field for governments, cities, organisations and companies. Futures education is entering schools at all levels, even if only with the first baby steps. Futures communication could be described as an area and empowering approach through which you can highlight the essence and need for futures thinking and creation i.e. futures literacy. The awareness and visibility of futures literacy can be strengthened through various campaigns and celebrations.

World Future Day

For several consecutive years now, the Millennium Project has organized the World Future Day on March 1st, now hosted by The Millennium Project in collaboration with:

Again this year anyone can celebrate futures and attend the World Future Day via the Zoom. This celebratory event consists of volunteers, mostly from the Millennium Project network, facilitating futures discussions at 12 noon in their own time zone. You can come join the conversation whenever you want. Updates will be available online. This is a very globally inclusive, participatory, discussant, inter-cultural and inter-generational celebration of futures which can engage new actors in the field of futures studies, foresight and anticipation.

world-future-day

Finnish Futures Day Extended to Futures Week

Since the International Futures Day falls on a Sunday this year, celebrations are moved to the 6th of March in several locations, such as here in Finland. The goal of Futures Day is to alert the large masses of Finns for one day to discuss what kind of futures we want to create. The Futures Day concept works like the originally Finnish grassroot innovation Restaurant Day i.e. anyone in their community can organise their own Futures Day with the materials provided on the website  (the Finnish site). You can even post your own event on the Future Day website.

The Finnish Futures Day is actually extended for the whole Futures Week through events that inspire people to conversations about dreams and fears of the future they face. This is in order to strengthen futures awareness and make futures thinking visible. The Finnish National Foresight network also organises a Foresight Friday event on “Shaping the Future: Between Continuities and Disruptions”.

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40 years of Finnish Society for Futures Studies – celebrating futures the whole year of 2020

The Finnish Society of Futures Studies (FSFS) is actively involved in organising and attending Futures Day events, extending futures celebrations for the whole year. This is because the Society, established in 1980 with Professor Pentti Malaska as its first President, is now celebrating its 40 years anniversary. These events will make futures thinking, its forms, means and goals, visible to the public, not only to the society’s 700 members.

Examples of futures events in 2020 – besides regular annual seminars, are TOP TEN seminar on Future and Power, seminar on theoretical and philosophical foundations of futures studies, summer seminar on our joint futures and actors making them, as well as a special issue of FUTURA journal (4/2019) on the past 40 years with interviews of 25 acknowledged futures researchers active within the FSFS.

Celebrating the history of futures activities and communicating it to younger generations is quintessential – both in learning about the very diverse paths that can lead to systematic futures work and in encouraging younger actors to enrichen the field and boldly open up new avenues and angles. A call for videos of visualising futures, especially scenarios, will also be opened soon.

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100 years of University of Turku

Futures celebrations are intensified with the celebration of the 100th Anniversary of the University of Turku. With the Finland Futures Research Centre (FFRC) as its department and with the new futures basics course TULEVA that is obligatory for all master’s programme students at its School of Economics the University of Turku can be metaphorically called “Futures University”.

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In June the 21st international FFRC conference will be organised on ‘Learning Futures – Futures of Learning’ in Helsinki in co-operation with the Finnish National Agency for Education (EDUFI). The conference includes a special session “Millennium Forum”, organised by FEN (Foresight European Network) and the Helsinki Node of the Millennium Project, the latter one celebrating its twenty years of activity. There you can simultaneously celebrate learning and learn to celebrate – both are equally educational.

Futures Studies as Life Supporting System

The above mentioned examples of campaigns and celebrations aim at enhancing the awareness and visibility of futures thinking and futures studies. Such futures communication is needed not only for making wider circles in society conscious of the potential and benefits of futures work, but also for nudging more stakeholders to concretely use futures and foresight material and results in their strategic processes.

Serious futures work becomes a synonym for survival strategies. My claim is that every organisation, government, company, NGO etc needs a futures strategy to cope and succeed. In a nutshell, futures strategy means traditional strategy enhanced by longer time-frame, systemic view, holistic approach, out-of-the-box thinking, aided with peripheral vision (Day & Shoemaker 2006) and other futures methodology (Glenn & Gordon 2009; Heinonen, Kuusi & Salminen eds 2017). Accordingly, futures literacy and foresight skills become a necessary prerequisite for survival – they embody a life-supporting system if their results are harnessed to tackle the mega-challenges hovering above humankind’s head like Damocles’ sword. This allegory highlights that with great fortune and power comes also great danger. Humankind thinks of itself sitting in the king’s throne, in power over nature, in control of technology. This no longer applies – there are existential risks looming above us by a hair’s strength such as climate change, cyberterrorism, pandemics, artificial super intelligence.

In the Millennium project Future of Work/Technology 2050 scenarios (Glenn 2019), a key distinguishing feature of different assumptions about how artificial intelligence evolves from the current specific or niche applications-competent artificial intelligence (Artificial Narrow Intelligence ANI) towards that of capable of solving a wide range of tasks similar to humans competence (Artificial General Intelligence AGI) and still further towards artificial intelligence that becomes superior to humans’ performance in most tasks (Artificial Super Intelligence ASI). What if ASI then realises and decides that humans are detrimental to life on earth and draws certain conclusions?

From the point of view of biology, the purpose of life is to produce as many offspring as possible i.e. to reproduce and maintain the population. From the point of view of many religions, the purpose of life is to live in contact with Higher Being and to use his or her own special skills for the benefit of others. The purpose of Futures Studies has already been crystallised by Ossip K. Flechtheim (1966) to combat great global problems such as poverty, war, inequality. Wendel Bell (1997, 111) saw as the overriding purpose of futures studies “to maintain or improve human well-being and the life-sustaining capacities of the Earth” with nine sub-purposes all tightly bundled together under this umbrella.

Therefore, a relevant question for all participants of the Futures Day, Week or Year is to also address such mega-questions as purpose of life and how futures studies could concentrate on them more efficiently – how to use the special foresight skills to benefit fellow humans, other species, and the planet? The mega-challenge of climate change is deeply intertwined with this endeavour. Electricity production based on even 100% renewable energy is already technically possible (Breyer et al. 2016). However, because of institutional obstacles, fossil industry lobbying, and political indecision, the transition is slow. However, when there’s a will, there’s a way. The Club of Rome published its Climate Emergency Plan (2019), there are scenarios for pathways to emission-free futures (e.g. Heinonen & Karjalainen 2019), and there are pioneers such as Greta Thunberg.

Both the speed and scale for action in face of global challenges matter. In futures field, we can adopt 100% futures consciousness, if we only choose so. Every step, event, campaign and working/learning process celebrating futures thinking and futures literacy is noteworthy. In memory of Bell’s line of integrative prospective thinking: we have to reason, choose and act, correspondingly. Everybody is invited to these empowering futures celebrations.

Sirkka Heinonen
Ph.D., Professor Emerita
Finland Futures Research Centre
University of Turku

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References

Bell, Wendell (1997). Foundations of Futures Studies. Human Science for a New Era. Volume I: History, Purposes and Knowledge. Transaction Publishers, New Jersey.

Breyer, Christian; Heinonen, Sirkka & Ruotsalainen, Juho (2016). New consciousness: A societal and energetic vision for rebalancing humankind within the limits of planet Earth. Technological Forecasting and Social Change.

Club of Rome Climate Emergency Plan. A Collaborative Call for Action. By members of the Club of Rome: Sandrine Dickson-Déclève, Ian Dunlop, Andres Wijkman with support from Martin Hedberk & Till Kellerhof, 16 p.

Day, George & Schoemaker, Paul (2006). Peripheral Vision: Detecting the Weak Signals That Will Make or Break Your Company. Harvard Business School Press.

Flechtheim, Ossip K.  (1996). History and Futurology. Meisenheim-am-Glan, Germany. Verlag Anton Hain.

Glenn, Jerome (2019) Work/Technology 2050 – scenarios and actions. Orders.

Glenn, Jerome & Gordon, Theodore (eds) (2009). Millennium Project Futures Research Methodology Version 3.0. 

Heinonen, Sirkka & Karjalainen, Joni (2019). Electrification in Peer-to-Peer Society – New Narrative for Sustainable Futures. FFRC eBook 1/2019.  Order print copies.

Heinonen, Sirkka & Karjalainen, Joni (2019b) Pioneer Analysis as a Futures Research Method for Analysing Transformations. In: Poli R., Valerio M. (eds) Anticipation, Agency and Complexity. Anticipation Science, vol 4. Springer, Cham.

Heinonen, Sirkka, Kuusi, Osmo & Salminen, Hazel (eds) (2017).  How Do We Explore Our Futures? Methods of Futures Research. Acta Futura Fennica 10, Finnish Society for Futures Studies. Helsinki.

Nurmela, Juha & Viherä, Marja-Liisa (2019). Miten minusta tuli tulevaisuudentutkija? – 25 aktiivia tutkijaa kertoo (How I became a futures researcher – stories by 25 active futures researchers). FUTURA 4/2019, 5-34.

 

Article photo by Sirkka Heinonen.

Towards Data Smart Foresight – Exciting pivotal moments expected

Jari Kaivo-oja & Mikkel Stein Knudsen:

We have been told many news about data science. Some experts say that data science can call presidential races, reveal more about your buying habits than you would dare to tell your mother or wife, and predict just how many years those combined mega kebab hamburger pizzas have been shaving your life, and of trendsetting lifestyles – globally. Data scientists, the elite “python” men and women are today labelled “sexy” in various Harvard Review and MIT reviews articles. The famous slogan of W. Edwards Deming and Peter Drucker, “You can’t manage what you don’t measure”, is seen more and more relevant foundation for decision-makers (see e.g.  McAfee & Brynjolfsson 2012). However, it is not easy to verify “sex issues and sexuality” claims and that is why we should avoid overstatements of “sexy” Big Data.

We do not have to be “sexy” in all occupations of work, but we in the futures research community can develop foresight tools with Small or Big Data. We can develop new exciting ideas of foresight with data science and data analytics tools. The next level of your business and specialization in foresight analyses will probably happen with exciting data science tools that were not available only a few years ago.

The DPP paradigm and data smartness development

We all know that data is only “raw material” of information and knowledge. From data we can create information and knowledge – and finally even wisdom. Three key functions of foresight are Diagnosis, Prognosis and Prescriptions. The DPP paradigm is found for example in the For Learn -manual and in various discussions of European foresight programs. Of course, the analogy with medical sciences is obvious. Foresight specialist diagnose, prognose and deliver prescriptions like doctors do in the field of health and social care services. There is nothing mysterious in this professional practice. Also doctors and medical professionals apply Big Data tools and methods. Doctoral practice with diagnosis and prognosis is (also) based on Big Data-analytics. Such will also be the case for foresight specialists in the field of futures studies and applied foresight projects. Probably better foresight analyses can be provided to customers with Big Data than with Small Data.

Key deliverables of foresight are:

  • Desirability analytics
  • Probability analytics
  • Feasibility and impact analytics
  • Risk analytics
  • Strategic importance analytics
  • Network and stakeholder analytics
  • Spatial and global network analytics and
  • Decision model analytics (scenario multicriteria data for decision-making).

All key foresight deliverables can be based on Big Data analytics both in Numbers and Narratives data fields. Volume of big data from heterogeneous sources has considerably grown. Identification of the relevant data from the huge quantity of available Big Data lakes is still very challenging though, because Big Data can be very messy and cleaning it may take time and financial resources. It is obvious that more effort is needed in monitoring thematic data fields and deliver Big Data lakes to data scientists and foresight specialists.

Foresight synergy challenges with data analytics

Typically, foresight specialists and professionals deliver these kinds of knowledge intensive “goods” for organizations and decision-makers. They provide both soft and hard business and policy services. In many cases they also provide Knowledge Intensive Business Services (KIBS), which are tailored for private purposes. Data analytics can be applied both with qualitative and quantitative data. Current “science arena” of data analytics can be figured out in Fig. 1 (Kaivo-oja 2019). There are many challenges to use data science to transform information into insight and foresight. We can just mention well-known Narratives and Numbers approach in foresight research. Data analytics can enrich foresight with Numbers and Narratives analyses to the next level.

Figure 1. Data analytics field in the data science operations (Kaivo-oja 2019).

When we look at Fig. 1, it is important to underline potential synergies (1) between small data analytics and big data analytics and (2) between quantitative and qualitative research. These two synergy challenges are also huge challenge for futures of foresight research. We believe that the future true state-of-the-art foresight comes from the proper understanding and application of all four quadrants.

Towards Data Smart Foresight with Big Data ethics

As always, there are huge possibilities and treats in the field of big data analytics (Reinsel et al. 2017). Big Data flow increases volume, value, velocity, variety and veracity of data for organizations (Fig 2.) These 5 Vs are more and more relevant for decision-makers. Based on an IDC report prediction, the global data volume was predicted to grow exponentially from 4.4 zettabytes to 44 zettabytes between 2013 and 2020 (Hajirahimova & Aliyeva 2017).

Figure 2. Five Vs and Big Data.

Nowadays, people are more and more aware of privacy and social media risks. Even corporations are trying to be proactive in this field, like with the recent news of Google setting up an external advisory board for the responsible development of AI (Google, 2019b) or the publication of the Google AI Principles (Google, 2019a). Big Data-ethics will be critical topic of public and corporate ethics discussions. The following six principles are currently attributed to Big Data Ethics: (1) Ownership of small or big data – Individuals own their own data or sell their data with a contract. (2) Data Transaction Transparency – If individuals´ personal data is used, they should have transparent access to the algorithm design used to generate aggregate data sets, (3) Consent of data – If an individual or legal entity would like to use their personal data, one needs to be informed and explicitly expressed consent of what personal data moves to whom, when, how and for what purpose from the owner of the data, (4) Privacy of citizens – If data transactions occur all reasonable effort needs to be made to preserve privacy, (5) Currency – All individuals should be aware of financial transactions resulting from the use of their personal data and the scale of these transactions and (6) Openness – Aggregate data sets and data lakes should be freely available (see https://en.wikipedia.org/wiki/Big_data_ethics).

We can add other related ‘Big Issues for Big Data’ which needs to be added to the Big Data-ethics discussion (Raleigh, 2019): (7) Avoiding algorithm bias – Algorithm often unintendedly exacerbates underlying biases of real-world data and thereby harms specific populations (Dickson, 2018 provides numerous examples of this), (8) Data longetivity – As data gains value through use, its reliability over the long-term becomes more important; this creates emerging issues in cases of e.g. bankruptcy or decisions to discontinue management of data or data APIs.

On the other hand, data analytics can help us to manage some big risks like pandemic and climate change risks. Also, SMEs can have smarter business models and platforms with Big Data analytics. We are therefore also faced with dilemmas in which ethical boundaries might prevent us from achieving something we can intersubjectively agree as valuable (Wiren, 2019). Value search, value configuration and value delivery can be improved by the five Vs of Big Data. Also, governments and academia and civil society organizations can improve their services and value delivery to citizens by the services and good based on Big Data analytics. McKinsey (2018) argues that ‘Smart city applications can improve some key quality-of-life indicators by 10 to 30 percent’. In the case of Turku, using big data and ‘world class data science resources’ is now developed as a local strategic flagship project (Piippo, 2019).

Trend change from Business intelligence to Big Data analytics

The applications of Big Data foresight can be sometimes fascinating and sometimes alarming. We should be aware about possibilities and threats of Big Data analytics. In Fig 3, we can see that trends in the field of data analytics are changing, and we are moving from business intelligence to Big Data analytics, if we assess development with Google Trends database index numbers. Big Data analytics has been dominating people´s interest since 2014. Average Index number is 84 in years 2014–2019, while interest in business intelligence is decreasing near to 50 index levels (Average Index number 49,3 in years 2014–2019). Big Data started to gain more interest than business intelligence in 2013.

Figure 3. Business Intelligence Index and Big Data Index Trends in 2004-2019 with Linear Trend Lines (Index 0-100). Source: Monthly Global Data from Google Trends 24.3.2019. https://trends.google.fi/trends/?geo=FI).  

The importance of Big Data does not revolve around how much data an organization finally has in its files, but how an organization utilises the collected Big Data lakes. Every company and organization uses data in its own organizational way. Organization culture is have impacts on the use of Big Data in many ways. Leaders, management teams and workers have their own habits and beliefs of Big Data work like they have their habits in relation to business intelligence activities.

It is good to understand that there is an analogy between market square and the concept of platform. As we know, the market square enables producers and consumers to interact without external intermediaries. For producers, it would be time- and resource-consuming to find all customers and present offerings for everybody separately. Also for consumers, it would be similarly very inefficient to find various producers one by one. This situation is relevant for foresight and anticipation markets, where consumers and producers want to share knowledge intensive services and products in markets, business and networks. Big Data extends foresight market square in global settings.

The more efficiently a company uses its data lakes and adopts Big Data foresight, the more potential it has to grow, because of platform synergies and market square logic. The company and organizations can take data from various sources, but they have to think many issues before they can use data and information in in decision-making. Ethical codes of Big Data are highly relevant topics to discuss before making use of Big Data. Ethical thinking before serious action is always necessary in foresight and futures business.

Jari Kaivo-oja
Research Director, Finland Futures Research Centre, Turku School of Economics, University of Turku.
Research Professor (Kazimiero Simonavičiaus University, Platforms of Big Data Foresight, Foresight program)
Adjunct Professor (Planning and management sciences, University of Helsinki, Faculty of Science, Geosciences)
Adjunct Professor (Foresight and innovation research, University of Lapland, Department of Social Sciences)

Mikkel Stein Knudsen
Project Researcher (M.Sc., Pol. Science), Finland Futures Research Centre, Turku School of Economics, University of Turku                

References

Balcom Raleigh, Nicolas (2019). Current project insights: Potentials of big data for integrated territorial policy development in the European growth corridors. Dos and Don’ts of Big Data for Foresight, Turku Science Park, Turku, Thursday 28.2.2019.

Dickson, Ben (2018). What is algorithmic bias? TechTalks. Web: https://bdtechtalks.com/2018/03/26/racist-sexist-ai-deep-learning-algorithms/

FOR LEARN (2019). Support to mutual learning between Foresight managers, practitioners, users and stakeholders of policy-making organisations in Europe. Institute for Prospective Technological Studies. Joint Research Centre. Web: http://forlearn.jrc.ec.europa.eu/index.htm

Google (2019a). Looking Back at Google’s Research Efforts in 2018. 15.1.2019. Web: https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html

Google (2019b). An external advisory council to help the responsible development of AI. 26.3.2019. Web: https://www.blog.google/technology/ai/external-advisory-council-help-advance-responsible-development-ai/

Hajirahimova, Makrufa, Sh. and Aliyeva, Aybeniz S. (2017). About Big Data Measurement Methodologies and Indicators. International Journal of Modern Education and Computer Science. 9 (10), 1–9. Web: http://www.mecs-press.org/ijmecs/ijmecs-v9-n10/IJMECS-V9-N10-1.pdf

Kaivo-oja, Jari (2019). Introduction:  The Challenges of Big Data Foresight. Lecture in Turku Science Park. Dos and Don’ts of Big Data for Foresight, Turku Science Park, Turku, Thursday 28.2.2019.

McAfee, Andrew and Brynjolfsson, Erik (2012) Big Data: The Management Revolution. Harvard Business Review, October 2012, Web: http://tarjomefa.com/wp-content/uploads/2017/04/6539-English-TarjomeFa-1.pdf

McKinsey Global Institute (2018). Smart Cities: Digital Solutions for a More Livable Future. Executive Summary, June 2018. Web: https://www.mckinsey.com/~/media/McKinsey/Industries/Capital%20Projects%20and%20Infrastructure/Our%20Insights/Smart%20cities%20Digital%20solutions%20for%20a%20more%20livable%20future/MGI-Smart-Cities-Executive-summary.ashx

Piippo, Tuomas (2019). Using world-class data science resources to create a smart and wise Turku. Dos and Don’ts of Big Data for Foresight, Turku Science Park, Turku, Thursday 28.2.2019.

Reinsel, David; Gantz, John and Rydning, John (2017). Data Age 2025: The Evolution of Data to Life-Critical (PDF). Framingham, MA, US: International Data Corporation. Web: https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf

Wikipedia (2019). Big Data Ethics https://en.wikipedia.org/wiki/Big_data_ethics.

Wiren, Milla (2019). Strategic Positioning in Big Data Utilization. Dos and Don’ts of Big Data for Foresight, Turku Science Park, Turku, Thursday 28.2.2019.

 

Photo: pixabay.com 

Energy, Sustainability and Foresight talk in Lima, Peru

Marianna Birmoser Ferreira-Aulu

On Monday 19 November, Project Researcher Marianna Birmoser Ferreira-Aulu gave a lecture on Futures Studies, Energy and Sustainability in UTEC (Universidad de Ingeniería y Tecnología) in Lima, Peru.

The event was organized by the prospectiva start-up consultancy company Project A+. It started with an introduction on Futures Studies and Foresight, by their Prospective and Strategic Management Chief Omar Del Carpio. Del Carpio is also the CEO of the Peruvian Foresight and Innovation Biofuture Lab. After his introduction, Mrs. Ferreira-Aulu gave her talk using her Master’s Thesis as an example of how Futures Studies can be an empowering field of work.

The lecture ended with a panel of discussion together with Ricardo Rodríguez -Director of the International Federation of Systems Research (IFSR), Julien Noel -Director of the faculty of engineering, and Omar del Carpio.

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Is there a Future after the Belo Monte Dam?

Ferreira-Aulu’s work is entitled ”Is There A Future After The Belo Monte Dam? Building Futures Scenarios For The Volta Grande Do Xingu In Amazonia, Brazil.” (full PDF here)

In her thesis, published in 2017, she produced four scenarios of alternative futures for the Volta Grande do Xingu region, taking into account the socio-environmental impacts already caused by the Belo Monte Dam, currently being built in the Brazilian Amazonia, as well as future impacts, which can be different, depending how different actors behave on the days to come.

Despite Ferreira-Aulu’s rusty Spanish (or very fluent portuñol) the audience was attentive and interested. In addition to the students and teachers from UTEC university, the audience also counted with fellow futurists, consultancy companies, producers of EIAs in Peru, as well as representatives from the Peruvian Ministry of Energy and Mines.

The Q&A in the end was a lively and rich discussion between panellists and the audience. A video of the full lecture in available in the Facebook, and the language of the lecture was Spanish (or Portuñol).

Marianna Birmoser Ferreira-Aulu
MA Futures Studies, Project Researcher
Finland Futures Research Centre

Photos: Foresight and Innovation Biofuture Lab