Kindness, Culture, and Caring: The Open Science Way

Time for dignity and fairness: and the value of caring. Artwork by Kelvy Bird: https://www.kelvybird.com/

“So it’s kind of like if your house catches on fire. The bad news is there is no fire brigade. The good news is random people apparate from nowhere, put out the fire and leave without expecting payment or praise. …I was trying to think of the right model to describe this form of random acts of kindness by geeky strangers. …You know, it’s just like the hail goes out and people are ready to help. And it turns out this model is everywhere, once you start looking for it.” Jonathan Zittrain, Ted Talk 2009 <https://www.ted.com/talks/jonathan_zittrain_the_web_is_a_random_act_of_kindness?>

PLEASE NOTE: This is a draft of a bit of the Open Scientist Handbook. There are references/links to other parts of this work-in-progress that do not link here in this blog. Sorry. But you can also see what the Handbook will be offering soon. All comments are welcome! Revised from a talk at the ESIP 2019 Summer Meeting. With travel support from the Alfred P. Sloan Foundation. Arigatou!

There are lots of ways that the rational, logical, hyper-competitive, winner-take-all, zero-sum, prisoner’s dilemma, nice-guys-finish-last, single-bottom-line, annual-productivity ratchet — or add your adjective here — mindset is just wrong for sustaining the academy and bad for science. For decades now, the same neo-liberal economic schemes that have been used to reshape how governments budget their funds have also made dramatic and disturbing inroads into university budgets and governance. Open science can show how that trend is a race to the bottom for universities. What do you say, we turn around and go another way?

“I have learnt silence from the talkative, tolerance from the intolerant and kindness from the unkind.” Khalil Ghibran, Sand and Foam.

A century without kindness: the impact of external logics

The banishment of kindness as a necessary part of being an academic, — just one more feature of adopting the neoliberal marketplace logic, and another effect of hyper-masculinity in the workplace — allows academics to defer judgements about kindness:

“We want to argue, however, that although kindness is a commonplace in pedagogical encounters, easily recognisable by its presence or absence, attending to it can be subversive of neo-liberal assumptions that place value on utility and cost above other human values” (Clegg and Rowland, 2010).

The word for kindness in Latin is humanitas: kindness makes us human. “[T]he Roman Emperor Marcus Aurelius, a leading Stoic philosopher, speaks of kindness as ‘mankind’s [sic] greatest delight’ (Phillips and Taylor 2009, 18). In Aristotle’s teachings, kindness is a component of phronesis: an entire type of “practical wisdom” that we’ve slowly devalued over the past 300 years (Juarrero, 1999) [ and you can blame Hume and Kant and all the usual suspects for this]. Phronesis combines virtue with a notion of adult comprehension: a way of knowing the right thing to do in all circumstances. It has little to do with intellection, and everything to do with broad experience and learning.

The road to a doctorate is long and difficult, and so adding another layer of learning to the process might seem short-sighted. And yet avoiding learning phronesis in your daily life is probably not any easier than practicing this, since the absence of phronesis leads to serial mistakes in moral and practical judgement, any one of which can be “career defining” in a negative sense. “Practical wisdom” is integral to “doing the right thing” while you learn to “do the thing right.” Doing the right thing often includes knowing how to exercise kindness with others.

A child can show kindness, and we welcome this. An adult (one who has learned some phronesis) can act kinder than a child, because this adult is experienced in a broader range of social circumstances and personal relationships. An adult can be — to use the Yiddish — a mensch. And a mensch can be kinder than a non-mensch or a proto-mensch. Lesson: be an open science mensch.

Kindness starts with intention

Real kindness begins with a clear intention. This adds an important aspect of self-judgement to its base. Without this aspect you cannot actually be kind, even if others might interpret what you are doing as being kind. How do you actually judge your intentions, particularly in relationships with other people and things? Something to contemplate. Also note: Clegg and Rowland (2010) remind us that kindness is not equated with leniency or “being nice.” Real kindness uses courage to articulate accurate observations and open learning moments that can be difficult and painful for both parties.

Kindness is something you learn and do

Kindness is a normative human practice in a wide range of social frames: parenting, friendship, governance, teaching, caregiving, civil interactions. Zittrain (above) reminds us that the internet was built on kindness and generosity. In nearly every human social endeavor, kindness matters. Even in highly-competitive sporting events, “sportsmanship” is highly valued, and is actually an internal normative form of kindness. Why should kindness, and critical interrogations about its role, be absent from research and management in the academy?

Like rationality, kindness is a form of practice, not an emotion. You can no more “feel” kind than you can “feel” rational. Unlike rationality, kindness necessarily involves others, their perspectives and needs. Kindness can and will also be judged by others for its qualities. Is it genuine? Is it motivated by a need to be perceived as kind? Is it effective in performing its intention? What is its intention? In the academy where intellectual judgements run wide and deep, kindness opens up another opportunity to be judged. But so does being unkind. Or it should. For decades, the lack of kindness in our research institutions and workplaces has gone unremarked. It is time to remark these.

Culture provides meaning to intentions

Again, kindness begins with intention. The same activity with different intentions can be a kind, caring conversation, or it can be a cruel interrogation. Intentions are themselves colored by culture. Culture provides a layer of shared meaning/learning that helps the individual (both the intend-er and the intend-ee) discover and interpret shared meaning as intended. You and the other person can answer the question: what did you mean?

The social world always contains this layer of culture. There is no society without it. Individuals hold this layer as a shared/learned resource. The cultural values (See: Values, freedoms and principles) you bring to your open science organization can assemble the meanings that add clear intentions to shared kindness. Just as some institutional cultures today — and inside the academy — support bullying and demeaning actions (NAS et al, 2018).

One feature of kindness is that it enables both halves of the double meaning of the term “care.” To really care about someone or something, you need to tap into genuine kindness. To care for someone or something can merely be a job. But this job is also reduced without the impulse of kindness. That is why it is time to…

Put care back in your career.

“[B]y infusing bureaucratic maintenance work with an ethic of care, we can challenge contemporary workplace attitudes surrounding “productivity” and “efficiency,” moving toward the recognition of maintenance itself as a valued contribution. We can also broaden access to systems of information, thereby supporting its generative value…” (Maintainers et al, 2019).

The Maintainers <http://themaintainers.org/> extend an ethic of care to each other and to their work: they keep everything running, instead of inventing new stuff. This ethic is born in kindness, and requires a level of humility not casually found in the academy, where intellectual heroics overshadow moral choices.

Nel Noddings, who is a “care theorist,” someone who makes “the caring relation basic in moral theory” (2003), looks to recenter care as a normative behavior in education and the academy. She also separates the care that is expected in work (for example, doing something really well, or managing the needs of a student/patient) as a conformity to a workplace ethic, from caring: human acts “done out of love and natural inclination” (Noddings, 1988). What really works — in teaching and learning, and in team dynamics for collaborative research — is not completing the task of due-diligence, but rather building a framework of mutual caring nurtured from authentic kindness.

Bringing care into this discussion has now moved us away from communities, cohorts, and institutions. Care directs us back to intentions that are articulated in culture, but which also speak to being human in a mutually responsible human environment: a phrase not usually descriptive of the academy. “[W]e are led to redefine responsibility as response-ability, the ability to respond positively to others and not just to fulfill assigned duties” (ibid).

Open science is also science done through care and kindness: science that much more resembles the model of peer production within a commons, than it does a winner-take-all corporate struggle. “[W]ithout receiving conventional, tangible payments or favors in return, peers exercise kindness, benevolence, charity and generosity” (Benkler and Nissenbaum, 2006). Open science demands new levels of response-abilities: based on new and expanded academic freedoms (See: Values, freedoms and principles) and internet-enabled collaborations.

Coda: There are a lot more articles and books (such as Phillips and Taylor (2009): On Kindness) about the history of kindness and care that point out how these virtues were heralded as the basis of human happiness for centuries, and only recently (last 3–400 years) have these been eclipsed by more individualistic moral models (thanks to Hobbes, Kant, etc. — the usual suspects). So… practicing open science may also be good for your happiness. Doing open science can improve your happiness, and the happiness of those around you. How about that?

References

Benkler, Yochai, and Helen Nissenbaum. “Commons-Based Peer Production and Virtue.” Journal of Political Philosophy 14, no. 4 (2006): 394–419.
Clegg, S., and S. Rowland. “Kindness in pedagogical practice and academic life.” British Journal of Sociology of Education 31, no. 6 (2010): 719–735.
Juarrero, Alicia. Dynamics in Action. Cambridge, Ma: MIT Press, 1999.
National Academies of Sciences, Engineering, and Medicine, NAS Committee on the Impacts of Sexual Harassment in Academia, Committee on Women in Science, Engineering, and Medicine, and Policy and Global Affairs. Sexual Harassment of Women: Climate, Culture, and Consequences in Academic Sciences, Engineering, and Medicine. Edited by Paula A. Johnson, Sheila E. Widnall, and Frazier F. Benya. Washington, D.C.: National Academies Press, 2018. https://doi.org/10.17226/24994.
Noddings, Nel. “An Ethic of Caring and Its Implications for Instructional Arrangements.” American Journal of Education 96, no. 2 (1988): 215–230.
— — — . Happiness and Education. Cambridge University Press, 2003.
Phillips, Adam, and Barbara Taylor. On Kindness. 1st American ed. New York: Farrar, Straus and Giroux, 2009.

10 things every open-science culture-change agent needs to know about.

Here are the 10 things you need to know about to be an open-science culture-change agent. Pick the ones you want to challenge yourself to master.

PLEASE NOTE: This is a draft of a bit of the Open Scientist Handbook. There are references/links to other parts of this work-in-progress that do not link here in this blog. Sorry. But you can also see what the Handbook will be offering soon.

Sharing starts everything Photo: Steve Jurvetson on Flickr.

1. Open science culture starts with the logic of demand sharing:

This is the same logic used to teach science in classrooms: knowledge gains value when it is shared. The more it is shared the more it is worth; the faster it is shared the greater its impact; the wider it is shared the better the chance that someone else will improve upon it, and share this improvement back with you.

2. Intellectual humility is integral to open science:

“The humility of scientific genius is not simply culturally appropriate but results from the realization that scientific advance involves the collaboration of past and present generations” (Merton, 1973).

Here are some aspects of humility and reasons why this is a great fit with open science, and a powerful agent against bullshit prestige (Moore, et al, 2017) and narcissism (Lemaitre, 2015) in the academy. Tangney (2000) constructed a working definition of humility, one that is not simply philosophical, but also informed by social and interpersonal circumstances. This definition rejects humility as a psychological weakness, instead, humility demonstrates a range of abilities highly valuable in the conduct of science. According to Tangney, humility has five elements:

A. the ability to acknowledge mistakes and shortcomings;
B. openness to perspective and change;
C. an accurate view of the self’s strengths;
D. ability to acknowledge and experience life outside the direct consciousness of the self; and,
E. the ability to appreciate the worth of all things.

As an open scientist (or just someone who wants to do science really well), you might consider how to develop all of these capabilities. You acknowledge your mistakes in order to learn new facts; you broaden your perspectives on your topic to achieve a wider level of understanding; you evaluate your own skills to discover where you must improve your methods; you journey into the unknowns in your field to stretch the envelope of our knowledge; and you reserve judgement on the work of others long enough to fully grasp their meanings. You also give others more attention and respect. This does not mean you respect yourself any less. You just learn to step around your ego to see others and their work as more valuable. Recent research has found that intellectually humble individuals may acquire new knowledge better than others (Krumrei-Mancuso, et al, 2019). Also note: “only humility can navigate complexity” (Fred Kofman <http://www.youtube.com/watch?v=80vYx7ufzZI&feature=relmfu> Retrieved September 14, 2019).

Humility helps you learn. Humility enables your research. You are a scientist: you have the freedom to be humble about it. It’s not modesty. Nobody is asking you to be modest. Think of it more as “hum-ability”.

In Aikido, humility becomes hum-ability. Open science is the same.

3. Intentional kindness is the platform for open science culture:

“The power of happiness, kindness and humility in the competitive academic environment is underrated, but I firmly believe that they are a force for change for the good of scientific practice. In my opinion, widespread application of these principles could vastly improve the quality of life of scientists and university professors worldwide” (Maestre 2018).

Kindness in open science (end elsewhere) begins with intention. Intentions are themselves colored by culture. Culture provides a layer of shared meaning/learning that helps us discover and interpret and map shared meaning as intended. The same conversation with different intentions can be a kind, caring dialogue, or it can be a cruel interrogation. The cultural values (See: Values, freedoms and principles) you bring to your open science organization can assemble the meanings that add clear intentions to acts of kindness, and to the generosity that all science requires. Just as some institutional cultures today — and inside the academy — support bullying and demeaning actions (NAS et al, 2018). Note: kindness does not mean weakness.

Shared kindness is a platform that lifts open science up to new potentials for sharing knowledge. In the academy, kindness is a radical form of courage. Everyone here is smart. If you want to truly distinguish yourself: be kind.

Kindness flows from a concern for the whole science community and the planet, not just your own lab or students. The best teachers are already kind in their classrooms. Bring that kindness to your research too. Don’t be that one asshole who makes others stop sharing. Kindness is not optional.

4. Open science means really open:

Open science may have started by opening up paywalled publication workflows, but it only succeeds when open extends back through the whole research process. Open is a manner of doing research that seeks to reveal as much of itself as it can or might, to promote shared knowing and reproducibility. Open is a transparently governed and democratic workplace in your organization. Open is open across the planet.

5. Open-science culture change starts with you:

Now is the time for you to lead your own open-science cultural change project. When you look around, you might be dismayed by the (dead) weight of organizational culture in your workplace. You can start small, and you can recruit others. The goal is to get back to the way science is meant to be pursued: to play the infinite game against intractable unknowns, to squeeze new knowledge from observations and information.

Remember first that leadership means humble conversations (Deep Dive: Humble Conversations ), fear-free interactions (Deep Dive: The Fear-Free Organization), democratic participation (Deep Dive: Democracy). You provide the compass (an informed open-science perspective), not a map. You and your colleagues are on a new learning curve toward a workplace where the only fear you find is the joyful thrill of playing with nature and data to unlock new insights. Open science needs you to find this kind of leadership inside and bring it to the academy.

6. Open science culture is learned:

You learn culture just like you do science, only you started early on, and without knowing this. That’s what this handbook is for. Disney and the Boy Scouts have been conscious, intentional, culture-learning organizations for decades. So too has the US Navy (for example), and your elementary school. This Handbook and hundreds of web resources are available help you discover more about open science and how to be an open scientist.

Culture is not just some subliminal vibe that you soaked up somehow (although you did a lot of culture learning really early on, and it seems like it was just soaked up). You are an adult. You are now responsible for your cultural behaviors. You can bring your focused intention and behavioral skilling to the goal of becoming more open each day. You succeed as an open scientist (and, in some fashion, as a person) by being more open today than you were yesterday.

7. Open science culture is an on-going conversation:

Make it a point to talk and question others about open science culture. The more people who talk the talk, walk the walk, and share what they value most, the better science will become. As John Wilbanks once said: “the opposite of ‘open’ is not shut. The opposite to open is broken.” Share your open science practices and stories. Keep talking with one another as you build common agreements.

8. Open science culture must be transmitted:

Teach your students to be open scientists. Talk to you children about how science really works in the open. Talk to their science teachers about the benefits of open science. Be an open-science mom or dad. Don’t have kids? Make sure the freshmen in your class know the difference between old-science and open science. The next generation of open scientists will need to assemble their own cultures. You can give them a head start.

9. Open science means open to all:

Not just to the “Republic of Science,” to the long-tail and beyond. Publication works when anyone on the planet can find your knowledge and share theirs with you. Do not worry; technology will help provide filters to keep you from drowning in information you do not need. Technology is one side of being open. Culture is the other side. The entire planet gets into the act at some point.

Future open scientists. Photo: Steve Jurvetson on Flickr.

10. Open science culture will become your culture too:

You get to grow your own personal virtues aligned with the shared virtues you use in your work. You get to add passion (and nuance too) to how you realize your own cultural flavors within your various social/workplace groups. Open science wants as much of you as you care to bring to it. You can take and carry away as much open science culture as works for you. You can own your unique style of open science. Grow it. Show it off. Add new thoughts to the mix. Make a ruckus with it.

References

Krumrei-Mancuso, Elizabeth J., Megan C. Haggard, Jordan P. LaBouff, and Wade C. Rowatt. “Links between Intellectual Humility and Acquiring Knowledge.” The Journal of Positive Psychology, February 14, 2019, 1–16. https://doi.org/10.1080/17439760.2019.1579359.
Lemaitre, Bruno. An Essay on Science and Narcissism: How Do High-Ego Personalities Drive Research in Life Sciences? Bruno Lemaitre, 2015.
Maestre, Fernando T. “Seven Steps towards Health and Happiness in the Lab.” Nature, November 23, 2018, d41586–018–07514–17. https://doi.org/10.1038/d41586-018-07514-7.
Merton, R.K. The Sociology of Science: Theoretical and Empirical Investigations. University of Chicago press, 1973.
Moore, S., C. Neylon, M.P. Eve, D.P. O’Donnell, and D Pattinson. “‘Excellence R Us’: University Research and the Fetishisation of Excellence.” Palgrave Communications 3 (2017): 16105.
National Academies of Sciences, Engineering, and Medicine, NAS Committee on the Impacts of Sexual Harassment in Academia, Committee on Women in Science, Engineering, and Medicine, and Policy and Global Affairs. Sexual Harassment of Women: Climate, Culture, and Consequences in Academic Sciences, Engineering, and Medicine. Edited by Paula A. Johnson, Sheila E. Widnall, and Frazier F. Benya. Washington, D.C.: National Academies Press, 2018. https://doi.org/10.17226/24994.
Tangney, June Price. “Humility: Theoretical Perspectives, Empirical Findings and Directions for Future Research.” Journal of Social and Clinical Psychology 19, no. 1 (2000): 70–82.

Celebrating Changes and Values

“[Y]ou get what you celebrate in a free culture,” Dean Kamen (attrib. 2009).
“…intelligent failures, as the term implies, must be celebrated so as to encourage more of them” (Edmonson 2019).
“…frustrations can be vented; accomplishments and people spontaneously celebrated. In these moments, more is at play than simple information exchange” (Laloux, 2014).

Who wants to celebrate?

In much of the literature on organizational culture, the advice is to “celebrate” this or that. The term is used as its meaning suggests: to acknowledge or affirm through some shared event. Acknowledgement and affirmation require generosity. In the academy, the term has been mostly used adjectivally: “She is a celebrated biologist;” or “Her celebrated work on X explores…” Here, however, celebrations are active and verbal. The important thing here are the three aspects that are happening at the same time in any real celebration.

“You need to not only understand your values, but celebrate them…” (Bacon, 2009).

Celebrations in your workspace entail three important aspects:

1. There is a shared social activity. This activity is meant to honor or recognize the value of something/someone. Everyone can participate as they wish. Time and resources may be spent to hold these events. Regular and irregular events break the routine of the workplace. Within the event any number of values and accomplishments can be mentioned, or the event can itself celebrate the value of being a community. Alternately, celebrations may be as simple as someone making a positive comment about someone or some activity, and everyone else nodding and smiling. Occasions where time and resources are spent are investments by the organization to its employee community.
2. This social activity requires a shared positive emotional tone from all who participate. You do not need to be the most enthusiastic person in the room, but you are expected to actually want to celebrate. Lending your sincere emotional support to the activity is a gift you give to the community. This shared emotional space also opens up the social frame for interpersonal conversations that can build trust, and improve teamwork. Even most introverts can find something to smile about.
3. This activity is meant to be shared within a community. Going out dancing alone in a night club may be your way of “celebrating life,” but here you really belong. You are meant to be here with all these other people. And that belonging is also shared. In fact, these occasions for celebrating are times when “inclusion” ups its game to signal actual belonging. This part of celebrate requires that you’ve spent some time creating community in your workplace. This usually means that you also share “community” as a value. Every time you celebrate something/someone you are also celebrating your community.

Celebrations demonstrate generosity

Celebrating starts with a clear intention: generosity. Lacking this, no event can be called a celebration, even though it may look like one (balloons, songs, whatever). Celebrations are good barometers for the health of your institutional culture. On any one day, you might not be feeling generous. That is fine, you can still participate. You may have had the painful experience of an office party where nobody is feeling generous; where everyone knows that the event is for show only; and where there is no shift in the shared emotional mood that would allow for free conversation. In a culture turned toxic, you can no longer actually celebrate; genuine generosity will seem out of place and time.

The ratio of people to cake is too big…

When celebrations fail, it’s time to reexamine your culture. This means that celebrating your values (and each other) is also a litmus test on how well your governance is working to help you build a community — another reason to celebrate regularly. Putting up your values on a sign by the front door is not the same as celebrating these. This goes for your academic department or lab as much as it does for a Silicon Valley start-up.

References

Bacon, Jono. The Art of Community: Building the New Age of Participation. Sebastapol: OʼReilly. 2009 Available At: <http://www.artofcommunityonline.org/downloads/jonobacon-theartofcommunity-1ed.pdf>.
Edmondson, Amy C. The Fearless Organization: Creating Psychological Safety in the Workplace for Learning, Innovation, and Growth. Hoboken, New Jersey: John Wiley & Sons, Inc, 2019.
Laloux, Frederic. Reinventing Organizations: A Guide to Creating Organizations Inspired by the next Stage in Human Consciousness. Nelson Parker, 2014.

Demand Sharing: a Real Sharing Economy for the Academy

In a famous letter of 1813, Thomas Jefferson compared the spread of ideas to the way people light one candle from another:
“He who receives an idea from me, receives instruction himself without lessening mine; as he who lites his taper at mine, receives light without darkening me.”

Share what’s important to you. Demand what you need. Photo Credit: Hartwig HDK on Flickr, CC By-ND 2.0

Demand sharing means you can ask for everything you need to do your science… with one proviso…

PLEASE NOTE: This is a draft of a bit of the Open Scientist Handbook. There are references/links to other parts of this work-in-progress that do not link here in this blog. Sorry. But you can also see what the Handbook will be offering soon.

We’ve all heard about the “sharing economy,” where we can gain new streams of income or convenience by simply sharing excess capacity (that spare room, the car ride, an electric scooter, etc.). And we’ve been told since childhood that sharing things we no longer need can help those with greater needs. Most of us feel we have a good idea about what it means to “share.” But then most of us are also mistaken, and here’s why.

Anthropologists who look at the ethnographies (and who do their own) of hunter-gatherer groups, and who sometimes also look at modern attempts to create sharing economies (e.g., Uber, Airbnb, etc.), tell us several things about sharing that most of us may find new and different from what we expected (Widlok, 2016; Suzman, 2018 <https://aeon.co/essays/why-inequality-bothers-people-more-than-poverty> Retrieved May 6, 2019). These ideas about sharing, synthesized from the study of human groups that have been successfully building their own lives for tens of thousands of years, say to us that we have “sharing” almost completely wrong.

For example:

• Real sharing is not charity. Charity is an artifact of the marketplace (and of personal wealth) and the logics of artificial scarcity.

• Sharing something you own that you are not using (like a spare room or space in your car) in exchange for cash is just another form of market transaction.

• Giving away things that you don’t need or no longer want is not a good example of sharing. This is an edge case.

Demand Sharing: share what is most important to you. Get what you need in return

In this handbook, we use the phrase “demand sharing” to designate a culturally advanced form of sharing, a type of cultural behavior that has been in widespread use of the majority of the human population for tens of thousands of years, and only recently eclipsed by marketplace logics in the past two to three hundred years. “Millions of years of evolution have designed us to live and think as community members. Within a mere two centuries we have become alienated individuals. Nothing testifies better to the awesome power of culture” (Harari, 2014).

Society uses demand sharing to fund its needs

A rather good (perhaps unexpected) example of demand sharing in modern society is having your representative government demand a tax that everybody pays, which then, for example, supports your state’s public colleges and universities (and pays your salary). That’s right; taxation is how a society demands of itself those resources it needs to prosper (Widlok, 2016).

Another example is sharing within a household, where family members can grab a snack from the refrigerator without much bother or need to justify or account for their choices. In the case of the academy, the “refrigerator” is the rapidly expanding corpus of digital research objects, and the family is fellow scientists who stock this with the outputs of their work, and who can then dive in and grab what they need for their own research. Note: this is a never-empty refrigerator, as these digital objects are not used up by their taking. Note again: they are anti-rivalrous: they gain value when they are shared. This is something every open scientist needs to remember.

“[L]earning is taken as much as given” (Godin, 2019; <https://seths.blog/2019/05/college-confusion/> Retrieved May 6, 2019).

Learning is demand sharing for knowing

Teaching and learning already require demand sharing. As an open scientist you’ve probably taught in a variety of classroom situations. Your students asked questions to extend their learning. Your best students (bless them) outright demanded to be taught. They marched into libraries (buildings, or on-line) and demanded the resources they need. They came to your office hours and demanded answers to their quandaries.

This means that nearly every scientist is well versed on how to participate in a demand-sharing economy. First, the state demands that its citizens fund the university, supporting teachers and learning. Then the student shows up and demands to be taught. We all did this as students. It’s not obscure, it’s how we learn.

Imagine a professor giving a lecture who stops in the middle and says, “This next part is really interesting; if you want to learn it, go to my app on your phone and deposit $10.” This should sound bizarre to you (if it doesn’t, then the neo-liberal university is your real home).

The for-profit textbook industry is very close to this same idea, particularly when a professor assigns their own textbook.

In part it sounds strange because the professor’s salary is already paid, hopefully through taxes. But mainly, it sounds wrong, as professors (who were once students) are completely happy for their students to learn. These learning moments in the classroom are seen as socially important and personally rewarding. When a student asks you a question, you do your best to help them learn something new.

In the hunter-gatherer culture, when a child comes to your fire and asks for some bit of meat from your catch, you always give it to them. Like food at a hunter-gatherer fire, information in a college is something that can be demanded. Demand sharing in education is a type of cultural economy where the norms and rules — the times and places, the manner of asking, the desire to teach and the value of learning — are well-known, without being written down. Students know they cannot demand the answers to a quiz in advance. What is sometimes forgotten is the need for and role of kindness in these interactions; more about that a bit later in the handbook (Deep Dive: Kindness).

Got a PhD? You know how to demand what you need

This means that you already know how to do demand sharing. Let’s look how demand sharing differs with what we just described as poor examples of “sharing.”

• You don’t give your classes as a form of charity (even though you may consider your own salary inadequate). You are a professional. Teaching is important. Your students have legitimate demands on your knowledge and your kindness. Passing on knowledge is why you teach.

• You also don’t teach your students content that you find worthless to you or loan them books that you are no longer satisfied with, unless these books are instructive in other ways. You share what is really important to your professional life: the best knowledge you’ve acquired.

• You expect students (at least, grad students) to demand from you what they need to learn and grow as scientists.

Demand sharing means sharing what is important to your research

This is the proviso we mentioned above. The same demand-sharing logic that collects the taxes that pay your salary, and enables your students to learn, also enables the academy to manage its knowledge resources for the benefit of all scientists, and the planet through the internet. Until today, a scientist might legitimately point out the huge amount of process-friction that would overly complicate sharing her data or workflows. A lot of the work of open-science advocates in the last two decades has been focused on reducing that friction through web-based platforms and services. Much of the remaining friction is cultural; linked back to institutional practices that do not reward or actively punish open resource sharing.

In an open-science, demand-sharing academic culture, sharing as much of your research as early as possible is a virtue strong enough to be a norm. Share what matters most to you: your methods, your findings (even null fundings), and your data. Share your best ideas openly, not simply those ideas that you have no interest in pursuing and every interest in having someone else pursue (See also: Idea Farming). Share your knowing by listening and adding to the conversation.

Open science requires generosity with a simple promise: each scientist will get more than they give. That’s the bargain the academy makes with you when you join and actively participate in the open-science academic society.

Of course the whole push to reboot the academy is based on the premise that this bargain has been bent and broken in many places.

This bargain is bolstered by the network effects of academy organizations. Demand sharing optimizes this bargain across academic networks and clubs (Redaction, 2016; Retrieved June 1, 2019).

Sharing imbeds your work into the community of science as a gift, a form of offering that also signals your membership. Sharing includes reviewing and acknowledging the work of your peers (See also: Perils of peer review). The open-science community creates its internal authority through relentless self-critique.

This authority works through a special soft of reciprocity and a level field of mutual status. As Polanyi (1962) noted, “[O]nce the novice has reached the grade of an independent scientist, there is no longer any superior above him. His submission to scientific opinion is entailed now in his joining a chain of mutual appreciations, within which he is called upon to bear his equal share of responsibility for the authority to which he submits.” This reciprocal authority of “mutual appreciations”, based on openly shared and critiqued knowledge is the basis for all applications of authority and leadership in an open-science academy (See also: Leadership and sharing).

The offerings you provide to the “republic of science” (Polanyi, ibid) lend you the cultural capital to demand the resources you need for your work from the abundance of open-access resources, and the knowing of others in your field. These, in turn, offer up their research for your use. As Hyde (2009) notes, the “constant and long-term exchanges between many people may have no ultimate ‘economic’ benefit, but through them society emerges where there was none before”; your contributions help create the academy society.

Amplified by the internet’s global reach, these exchanges expand and accelerate the process of science. You share the most important ideas you have, even at the risk of being scooped, because getting the most important work done now — whether you do this or someone else does (and attributes you with the idea) — moves science forward. You share your research results, all of them, knowing you will be critiqued by your peers, as you will also critique theirs.

“The self-image of humans who are embedded in sharing relations is not one of homo faber who creates his or her world out of nothing and without anyone else. Rather it is an image of what I have called homo sumens … who takes into use what is available through the company of others and that can be claimed from them” (Widlok, 2016).

Academic clubs: collectives for research collaboration

Demand sharing is a dense cultural practice, with its own behavioral expectations. When you share, you signal your desire to be included in the community. What you must learn, then, are the guidelines for demanding resources. “[T]he problem is not one of deciding what to give to whom but rather what to demand of whom. The onus is on the potential receiver to make his or her claim acceptable and the rules for appropriateness are not about acceptable giving but acceptable demanding” (Widlok, ibid; emphasis added).

The cultural shift to demand sharing will create a social basis for new science collectives, for “clubs” that share internally as though the club were a single, social organism. These formations are not entirely new. R&D Think-tanks have been funded for this purpose, and the NSF in the US spends a billion dollars a year funding academic workshops to assemble temporary collectives to solve common problems. “Club goods” are non-rivalrous inside the club, but not necessarily without shared costs (Hartley, et al, 2019). Thomas and Brown (2011) describe these as well, “Collectives are made up of people who generally share values and beliefs about the world and their place in it, who value participation over belonging, and who engage in a set of shared practices. Thus collectives are plural and multiple. They also both form and disappear regularly around different ideas, events, or moments.” Collectives enable collaboration across the internet, inform team-building, and open up the cultural situations for shared knowing.

The cultural practices of demand sharing will be emergent in the academy as open resources — including access to and discoverability of collaborators — become increasingly available in the next decade. This Handbook will help you to kickstart your own collectives, and forge demand-sharing cultural norms that suit your situation; see also Building new collectives.

Together with “fierce equality,” demand sharing as a cultural norm can help realize an actual sharing economy for the academy, separated from the arbitrary scarcity of the neo-liberal marketplace; a gift economy grounded in mutual appreciation and reciprocity. The particular practices of demand sharing will need to grow inside thousands of institutions across the globe. A goal of this Handbook is to give you the resources you need to build demand-sharing logics inside your academy homes. You can be a demand-sharing culture change agent by sharing your research objects and your research questions and problems; by listening more and adding your knowledge when asked. Demand answers from others; learn together. It’s science, not alchemy. You are not alone.

References

Harari, Y.N. Sapiens: A Brief History of Humankind. Random House, 2014.

Hartley, John, Jason Potts, Lucy Montgomery, Ellie Rennie, and Cameron Neylon. “Do We Need to Move from Communication Technology to User Community? A New Economic Model of the Journal as a Club.” Learned Publishing 32, no. 1 (January 2019): 27–35. https://doi.org/10.1002/leap.1228.

Hyde, Lewis. The Gift: Creativity and the Artist in the Modern World. Vintage, 2009.

Polanyi, M. “The Republic of Science: Its Political and Economic Theory.” Minerva 1 (1962): 54–73.

Thomas, Douglas, and John Seely Brown. A New Culture of Learning: Cultivating the Imagination for a World of Constant Change. Vol. 219. CreateSpace Lexington, KY, 2011.

Widlok, T. Anthropology and the Economy of Sharing. Routledge, 2016.

The Work of Culture in Your Open Science Organization

“Religion is a culture of faith; science is a culture of doubt” Richard Feynman (unsourced).

“Don’t think of culture as other than accumulated learning that sits inside you as one of your layers of consciousness” (Edwin Schein, 2016 <https://www.youtube.com/watch?v=6wJaNKIALLw> accessed April 4, 2019).

“‘Culture’ is everything we don’t have to do” (Brian Eno, 1996; W Magazine)

“‘Culture’ is anything you can get better at” Bruce Caron, 2019.

All the culture that fits: exploring the work of culture to prepare to change it

PLEASE NOTE: This is a draft of a bit of the Open Scientist Handbook. There are references/links to other parts of this work-in-progress that do not link here in this blog. Sorry. But you can also see what the Handbook will be offering soon.

We want culture in the academy to work for us, instead of against us. The many meanings of the word “culture” — each with certain claims to capture essential aspects of this spectrum of human proclivity and activity — make the task of outlining a notion of the “work of culture” also a chore of definitions. What is it about culture that can be said to do work? And what work is important for open science?

One goal of this book is to help scholars who have little or no background in the academic study of culture to gain a sufficient purchase on this notion to become confident, productive agents of culture change for their home institutions, their professional associations and research organizations, and for the academy as a global science endeavor. Like quantum mechanics and machine intelligence, the serious study of culture is not one of these “dip your toes in the shallow end” kind of endeavor. However, with a roadmap through just enough of this contested space, even tenured chemistry professors (or pick your discipline) can become bonafide organizational culture-change agents.

Getting back to basics

Beginning anthropology classes might spend a month covering the “history of the anthropological ideas of culture.” These notions developed first through colonial excursions, and then with missionaries and colonial settlers, and finally ethnographers. Courses on “organizational culture” are now required in MBA curricula and iSchools.

A recent (2017) online book for teaching anthropology in community colleges has distilled culture down to a few pages, entitled “The Culture Concept.” <http://perspectives.americananthro.org/Chapters/Culture_Concept.pdf>. Accessed April 4, 2019.

Arjo Klamer (2017), a Dutch economist, introduces culture to his economics class by adding two meaning domains for this word: culture as the accomplishments of a society (e.g., baroque style as a form of European culture), and culture as creative activity within sectors of the economy (the arts, architecture, music, etc.). His first meaning gives us the adjective “cultured,” applied to individuals who exemplify a certain noticeable style; while his second is where you go to when you click on the “culture” link in an online magazine or newspaper.

“Culture” is a section in your newspaper/magazine/webzine

Culture as a process

Folks who want to use culture and culture change as a resource or a tool to change social groups describe culture as a process. They then offer a method to intercept and guide this process (Marcus and Conner, 2014). Organizational management researchers are full of advice on the culture of organizations, but usually fail to look at how this type of culture fits into the larger sense of culture’s role in society or in individual identity. Anthropologists describe cultures and how these change without intervention, but little advice on how to intentionally change this. Here, you will find both anthropological and organizational perspectives, just so you are fully comfortable that you’ve travelled the entire landscape of the term “culture.”

Do you own your culture, or does your culture own you?

“Culture is public because meaning is” (Geertz, 1973).

Much of the disputed territory for culture, whether as an object of study, or as a field for intentional change, is centered on how culture is carried more or less unconsciously by the individual. Sometimes it feels as though we’ve been “marinated” in cultural practices our entire lives: language, cuisine, music, art, and now online content. There is a part of culture that is tacit, embodied, unspoken, and non-conscious. Culture theories tell us this, and they are not wrong. This aspect of culture is often used to demonstrate how difficult it is to manage culture.

A vague, squishy word, indeed

Jean-Louis Gassée (not an anthropologist; but rather of Apple, BeOS, and Palm fame), in a blog about Intel’s “toxic culture” writes:

“Our powerful human emotions are bundled into something we call Culture, itself a vague, squishy word……Culture develops within us in a manner similar to our taste buds: Our gustatory education starts with Mother’s milk and accumulates over time. The trouble with our acquired tastes, particularly in the realm of ideas, is that they drop below our consciousness: Raw data are filtered, judged, and labeled before being passed to our conscious, ‘rational’ processes.”

Gassée is pointing out that parts of the repertoire of shared meanings, behaviors, and sentiments that people would label “cultural” are known without any explicit knowledge of how and when we came to know these; and even less ability to describe them.

Schein (2010) calls this a cultural “layer.” This layer is learned from birth at home, and then in school, and then in the workplace, where the same tacit layer proves the hardest part to change. When your company/university/agency is running on a tacit culture layer, instead of on a reflexive intentional culture layer, it is most vulnerable to becoming toxic (Deep Dive: Toxic Culture).

Science is a reflexive, interrogative activity

Fortunately, the main aspects of academy culture we are hoping to change can all be made explicit and available to reflexive rebooting. In fact, open science is not reinventing science as much as clearing away the extraneous cultural underbrush (such as journal impact factors) that has collected in the past half-century or so. Scientists can openly interrogate these practices, and collectively move away from perverse incentives, conflicts of interest, and culturally-supported bad behavior in the academy. The leading advice to Silican Valley CEOs today is to avoid “f*cking up your culture” (See also: Don’t F*ck Up Your Culture; Retrieved May 17, 2019). The academy might want to listen here.

You cannot really avoid culture if you want change

A good point is worth saying twice: you may be an open-science pioneer who is eager and intent to bring productive changes to the academy, and yet still be uncomfortable with the notion of culture. You might prefer to offer solutions (e.g., coercive rules enforced by governments and funding organizations, novel technology platforms, and manifestos — so many manifestos) that, you hope, would shape “social behavior” without needing to confront or even consider culture. You look at the term “culture” and see a morass of competing meanings, with tangled and complex implications for the use of the term. How do you defend a program to change culture when you can’t get any three people in a room to agree on what culture means?

Scientists are many things. Each of these things have something in common: a desire for precision. The “vague, squishy” term “culture” offers very little precision and a whole load of ambiguity and complexity. As a scientist, you already have your hands full of ambiguity and complexity; you are striving to understand the inherent, emergent complexity of the universe. You rely on instruments that achieve ever-better accuracy and precision to help you extract some level of near-certainty to observe your object of study.

Many scientists are dismayed by the sheer amount of fuzziness surrounding the notion of culture. So the project at hand is to un-fuzzy that corner of culture where the academy can work on intentional changes to promote open science. The rest can remain terra incognito. The fact is, you don’t need to be an anthropologist to put culture to work in your organization.

In short: the good news is that the cultural work of open science is centered on those aspects of culture that can be intentionally described, discussed, and refactored — even if some of these might later become routine and get framed as default expectations. It’s not a bad thing to have your active culture also inform the tacit level of culture, it’s actually a goal: norms are cultural behaviors and attitudes that have become tacit culture. A norm is when “we open scientists do things like this,” and think: why would we do anything else?

Culture: trimmed down to size for the open scientist

Here we will trim the semantic tangle of the term “culture” to a more specific notion of culture: to the point where it can serve our understanding of how this works and how this fits into the future of the academy. The word “culture” will still hold all of its diverse and multiplex meanings everywhere else, however, here we’ll just agree to use it in one specific way to cut through a lot of the semantic shrubbery it has acquired over the centuries and around the globe.

Learning from anthropology

We can start by looking at some general attributes of “culture.” In his 1993 book, Culture, Chris Jenks notes (following Ralph Parsons):

“…for present purposes three prominent keynotes of the discussion [around culture] may be picked out: first, that culture is transmitted, it constitutes a heritage or a social tradition; secondly, that it is learned, it is not a manifestation, in particular content, of man’s genetic constitution; and third, that it is shared. Culture, that is, is on the one hand the product of, on the other hand a determinant of, systems of human social interaction” (Jenks 1993: 59).

Lets put these verbs into the following order: learn (first exposure) → share (locally) → transmit (across space/time). Repeat as needed. This sounds a lot like education, something the academy already does. For the individual, this process is, or can be, a lifelong activity. What Clifford Geertz reminds us is that these cultural activities are public. Nothing is cultural until it is shared. That means these activities are available to study, and to change, and to be changed through intentional intervention (although somewhat less available when they are only tacit).

One easy way to see what Jenks is proposing here is to substitute “language” for “culture;” after all, language is a good part of any society’s cultural repertoire. Saying that language is transmitted is to acknowledge that we don’t need to invent our own language anew every generation. Saying language is learned explains that we acquire this through learning as children and then hone this learning throughout our lives. To say that language is shared points to a key concept: we need others to make this work; it’s called “conversation”. In many ways, language is primarily a type of sharing. Other skills and cultural content exhibit these same features.

The reverse is also true. If a language is not transmitted over time it “dies”. If a person doesn’t learn a language, they are left outside the conversations that happen in that language. And when a language ceases to be shared in everyday life (e.g., it becomes a “sacred” language that can only be spoken in certain places/times), other language forms will take over in daily life. Languages change all the time. Remember that. They manifest lifelong, tacit cultural practices, and they still change.

Culture comes in community boxes

“Community, therefore, is where one learns and continues to practice how to ‘be social’. At the risk of substituting one indefinable category for another, we could say it is where one acquires ‘culture’” (Cohen, 1985).

The usual container for a culture is called “community.” As an organization grows and governs its own cultural work, you can say that the group becomes a community. You can dive into “community” elsewhere in the Handbook (Deep Dive: Communities, Collectives, and Commons). Notions of community will also be threaded into many of the Handbook chapters.

Meaning, Symbols, and Memes; oh my!

Exactly what is learned, transmitted, and shared as culture is complicated. “Meaning” usually pops up here, together with “symbols” (meaning carriers). In many ways anything that can be learned (anything you can get better at by learning this), and that must be shared in order to make sense as something to do (write a song, choose a new fashion statement, enter a conversation, sports, theatre, etc.) becomes culture when the various meanings of that learned behavior are also shared. You cannot have your own private culture. That said, you can have a very small community with its own distinguished cultural behaviors.

Memes are symbols that have been reimagined as cultural-genetic replicators. The analogy to biology is intentional, and meme theorists also talk of culture change as evolution. Since the 1970s, meme theories have been proposed to explain how certain cultural content packages spread and persist.

“[Richard] Dawkin’s way of speaking was not meant to suggest that memes are conscious actors, only that they are entities with interests that can be furthered by natural selection. Their interests are not our interests. ‘A meme,’ [Daniel] Dennett says, ‘is an information packet with attitude’” (Gleick, 2011).

The notion of a meme is centered on the idea that humans as social beings are shaped by culture the same way their bodies are shaped by their DNA. If you want to explore memes a bit more, here’s a good introduction (by Dennett) and some good counter arguments (by Lanier). Here we will talk about meaning and symbols and culture change, but you are certainly free to talk about memes and evolution. You can also look into “cultural science,” where evolutionary cultural studies are being done.

Culture is a plural noun

Not grammatically, of course, but we have seen and continue to see around us how cultural notions, skills, and activities are typically multiple, contested, fragile, and liable to change. Individuals tend to privilege those notions, skills, and activities they have invested time to learn (so nobody wants to be forced to use a different language). However, since culture must be shared to be viable, individuals continually find themselves in conversation with others who have differing cultural inventories. Culture is like a life-long song we only sing once, and none of us has been handed the score for the next chorus. We just keep on singing, in multipart harmony.

Knowing is the intrinsic work of culture in your organization

Of course, culture is not only a noun. Humans are cultural beings. Humans have culture. Humans do culture. There is a lot of culture going on all the time. More recent takes on organizational culture reject this as being just some packet of ideas that gets passed around.Today, more than ever before, culture is viral, active, flowing (Appadurai, 1996). Today, culture is on the internet too.

The recent work of John Seely Brown, coming out of organizational knowledge theories in the mid 1990s (See: Boland Jr. and Tankasi, 1995), has added (or recovered) a cultural angle on knowledge management (Cook and Brown, 1999). Instead of organizations stewarding an inventory of knowledge objects, what they need to do is open up contexts and spaces for knowing: contexts for the transmitting, learning, and sharing between and among their participants (Thomas and Brown, 2011).

This concept was then picked up by David Snowden and others (Kurtz and Snowden, 2003), who mapped the contexts of knowing and “sense-making” into what they called the Cynefin Framework (https://en.wikipedia.org/wiki/Cynefin_framework, Retrieved May 20, 2019). This framework is largely about identifying types of knowing — and ways of deciding — in corporations, as a corrective to the prior knowledge management systems which only covered tacit and discursive knowledge objects (Wenger et al, 2002).

The Cynefin Framework in 2014 By Snowded — Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=33783436

“The framework sorts the issues facing leaders into five contexts defined by the nature of the relationship between cause and effect. Four of these — simple, complicated, complex, and chaotic — require leaders to diagnose situations and to act in contextually appropriate ways. The fifth — disorder — applies when it is unclear which of the other four contexts is predominant” (Snowden and Boone, 2007).

The Cynefin Framework describes several domains of knowing; the core qualities of knowing are different in each of these. Knowing is an activity, an action, not a commodity, not a thing to be managed.

Knowing, or sense-making, is an intrinsic work for organizational culture. This is particularly true in the academy, where new knowledge and learning outcomes are a chief value proposition. Scientific “knowledge” is an output of shared knowing.

The challenge is that these domains are not always fully manageable, and neither are the humans that engage in knowing with each other, most particularly in the complex domain of the infinite game. Knowing is why we might learn more in a 10 minute conversation than we can from a 1000 page book. Knowing is how scientists play the infinite game with one another. You can briefly explore the infinite game by going back to the Things about science section.

Cynefin for the Academy

For now, the main take-aways from using the Cynefin Framework for the academy are the following:

First: it helps to explain the difference between doing science, talking/writing science, and telling others about science. These occur in different domains; and,

Second: it begins to describe the complex, emergent space of the infinite game. Learning this is central to building academy governance for game play. For centuries, most scientists, or earlier, natural philosophers, and before them, philosophers, played the infinite game individually. Today, science and learning is a team sport, and the academy needs to find ways to govern team play (Deep Dive: Knowing to Play the Infinite Game).

The domains of decision-making for open-science organizations. Which domain does your organization currently use to make its decisions?

The Cynefin Framework is explored at length in Deep Dive sections on Leadership and Learning, so we will not pursue it further here, except for this: The Handbook also presents a version of the Cynefin Framework that uses three modal types of cultural activity to represent the framework’s logics (complex, complicated, simple). These modes are: festival, game, and spectacle. You will need to ask this question a lot: upon which logic does your organization base its decisions? Starting with the wrong logic will lead to bad, sometimes very bad, decisions. A lot of toxic culture in the academy is based on decisions arrived at in the wrong domain.

Festival: For those who grew up in the parts of the planet (such as most of North America) without festivals that involve actual danger, nudity, running with fire, social exposure, complex body skills, radical comedy — the various ingredients of festivity that make these events complex, emergent activities — we are not talking about the annual petunia festival here. Also note that the best intellectual conversations are like running with fire.

The Cultural Work of Social Organizations

Cultural practices and social organizations are intertwined in time and space. Social organizations are the social “appliances,” the furniture, that anchor human groups into more durable cultural contexts, which they support and are, in turn, supported by. These contexts expand our capacity for collective action, including economic and political action. Just as we do not need to—or get to—invent our own language, we don’t get to invent most of the social groups we intersect in our lives. But we can change them.

In order to pursue the intrinsic cultural work of the academy, we build communities inside organizations that use governance processes to support sharing knowing. We use can our organizations to manage other, social and economic tasks. If knowing is a dance, then community is the dance floor, and the organization is the dance hall.

In the twenty-five years since Jenks’ book, culture has seen a lot of new attention. From the portmanteau academic discipline of “cultural studies” to the cubicles of Silicon Valley start-up companies, the importance of culture for the everyday life and future prospects of societies and corporations has become a central theme. It’s high time for the academy to take a culture turn. You can help.

Now you know enough about the various aspects of culture to start rolling up your pants and wading in. You know that culture is (and must be) learned, shared, and transmitted. Most of culture is really vulnerable to intervention or substitution. Culture describes a broad range of human activities and a layer of meaning that is spread over (or under) social activities and organizations.

Knowing is an intrinsic work of culture, a primary activity for all cultural activities, but particularly for those, like science, that are involved in the infinite game. Knowing happens in more than one domain. The meanings of culture are all public. You can find them, interrogate them, and, yes, change them. That’s the next topic in the Handbook: The task: culture change.

References

Appadurai, Arjun. Modernity Al Large: Cultural Dimensions of Globalization. Vol. 1. U of Minnesota Press, 1996.

Boland Jr, Richard J, and Ramkrishnan V Tenkasi. “Perspective Making and Perspective Taking in Communities of Knowing.” Organization Science 6, no. 4 (1995): 350–372.

Cohen, A.P. The Symbolic Construction of Community. Chichester, Sussex: Ellis Horwood Ltd, 1985.

Cook, D.N., and John Seely Brown. “Bridging Epistemologies: The Generative Dance between Organizational Knowledge and Organizational Knowing.” Organization Science 10, no. 4 (1999): 381–400. http://www.jstor.org/stable/2640362.

Geertz, C. The Interpretation of Cultures. New York: Basic Books, 1973.

Gleick, James. The Information: A History, a Theory, a Flood. 1st ed. New York: Pantheon Books, 2011.

Jenks, Chris. Culture. London And. New York: Routledge, 1993.

Klamer, A. Doing the Right Thing: A Value Based Economy. 2nd ed. London: Ubiquity Press, 2017. https://doi.org/10.5334/bbb.

Kurtz, Cynthia F, and David J Snowden. “The New Dynamics of Strategy: Sense-Making in a Complex and Complicated World.” IBM Systems Journal 42, no. 3 (2003): 462–483.

Markus, Hazel Rose, and Alana Conner. Clash!: How to Thrive in a Multicultural World. Penguin, 2014.

Schein, Edgar H. Humble Inquiry: The Gentle Art of Asking Instead of Telling. Berrett-Koehler Publishers, 2013.

Thomas, Douglas, and John Seely Brown. A New Culture of Learning: Cultivating the Imagination for a World of Constant Change. Vol. 219. CreateSpace Lexington, KY, 2011.

Wenger, E., R.A. McDermott, and W. Snyder. Cultivating Communities of Practice: A Guide to Managing Knowledge. Harvard Business Press, 2002.