If you had Ames, Iowa on your bingo card for hotbeds of innovation research — Bingo. Indeed the technology adoption curve (aka the most important curve in history) was invented by rural sociologists at Iowa State College some 70 years ago.* A little history. Image
WW2 put pressure on US food supplies, and a variety of technological innovations in agriculture promised improved yields. The rural sociologists were mostly concerned how these improved technologies could be made attractive to farmers, a notoriously skeptical bunch. Image
In the 1940s two researchers at ISC, Bryce Ryan and Neal Gross, conducted field research on how Iowa famers adopted the novel hybrid seed corn. Their report already contained the key ingredients: risk preferences, social contagion, geographic spread, and the logistic curve. Image
Early work focused on the individual decision process and mapped it into 5 deliberation stages: Awareness, Interest, Evaluation, Trial, Adoption; summarized in a special report called "The Diffusion Process" by ISC sociologists Joe Bohlen and George Beal in 1957. Image
An accompanying pamphlet called "How farm people accept new ideas" already proposed to speed up the adoption process by seeding the learning network with a new type of adoption leader, or, as we would call them today: social influencer. Image
In their report, George Beal and Joe Bohlen already delineated the means of communication by which the various types of adopters, clustered by risk preference into five categories, could be reached: from friends and neighbors to salesmen, mass media, and govt agencies. Image
One of George Beal's students at ISC, Everett Rogers, became a professor Ohio State. In 1962 he published a book based on his dissertation called "The Diffusion of Innovations", which became one of the most-cited publications in the social science. Image
Rogers also pointed out the role of the "invisible college", researchers at various institutions sharing a paradigmatic framework, in the diffusion of new knowledge. In the case of the adoption curve itself, that college was mostly made up of Midwestern land grant schools. Image
Ryan and Gross did their early work under the head of the department of economics and sociology, Theodore W. Schultz, the 1979 Nobelist and still the only agricultural economist to receive the prize. Schultz himself was very interested in how farmers picked up new knowledge. Image
But Schultz left Iowa State in 1943 over the fallout of what has become known as the oleomargarine wars, when he took on the powerful Iowa dairy industry. He joined the U Chicago econ program and steered it to national fame, in what might be called the "margarine revolution". Image
So it was left to Schultz's PhD student Zvi Griliches to work out the economic angle of the technology adoption process, which he did with his 1957 Econometrica article "Hybrid corn: an exploration in the economics of technological change", focusing on geographic spread. Image
Everett Rogers later joined the Stanford faculty, which is likely where Geoffrey Moore discovered the adoption curve and added his own "chasm", all while failing to mention those whose intellectual efforts preceded his own.
*As Valente & Rogers point out in their history of the adoption curve, Ames, Iowa might only be the origin of the US research, and the true inventor was more likely French professor Gabriel Tarde with his 1903 book, "The Laws of Imitation". Image
@threadreaderapp unroll unspool unravel plz ol buddy

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with 🅾️𝕝𝕚𝕧𝕖𝕣 🅱️𝕖𝕚𝕘𝕖

🅾️𝕝𝕚𝕧𝕖𝕣 🅱️𝕖𝕚𝕘𝕖 Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @oliverbeige

Apr 3
Emerging public discussion in 🇩🇪 that the internal debate of the German health office @rki_de didn't match the political pronouncements, centering on 17 March 2020 and the call to increase Covid hazard level from "moderate" to "high".

A good opportunity to recapitulate...
...the biggest mistakes that drove the response to the pandemic.

1⃣ The perpetual lack of recognition that we were observing events that had occurred weeks before, and the refusal to account for this.

What exactly happened on March 17? Nothing much in terms of the spread. /2
Like most other countries, Germany started to expand testing rapidly, leading to a massive increase in cumulative numbers, dramatically visualized in dashboards and charts.

But the rate of positive tests (MPC in my nomenclature) stayed mostly the same thru March. /3
Read 44 tweets
Aug 7, 2023
The German health authority @rki_de has evaluated the efficacy of pandemic restrictions it supported, and unsurprisingly it awarded itself a good grade. Overall everything worked out quite well, it says. We looked under the hood and found some surprises. A thread (🇩🇪 below). /1
For starters, in order to show that an intervention had a hypothesized causal effect, a study has to be able to reject the null hypothesis. The null hypothesis generically says that the observed curved, with its ups and downs, was not caused by the hypothesized factors. /2
To reject the null hypothesis in a setting like this, a study has to show two things: that an effect happened after an intervention ("post hoc"), and that it happened because of the intervention ("propter hoc"). The RKI study ignores the first and fails at the second. /3
Read 28 tweets
Jan 8, 2023
I was asked to elaborate on why this claim is nonsense, so a good opportunity to summarize a few things I wrote about game theory, machine learning, and Silicon Valley over the years.
Exhibit 1. A short clip on just how much Silicon Valley runs on game theoretic concepts, in many cases decades adopted decades after they had been invented and languished in obscurity. link.medium.com/wtm0D49zqwb
Hal Varian crossing the SF Bay to bring the "new", game-theory derived Industrial Organization to the Silicon Valley tech companies might've been just as much of a historical juncture as Michel Porter crossing the Charles River from Harvard Econ to HBS.
Read 13 tweets
Jan 1, 2023
A book a day on the Cold War era development of cybernetics, game theory, information science, and operations research: histories, biographies, autobiographies.

Day 1. Age of System: Understanding the Development of Modern Social Science by Hunter Heyck. play.google.com/store/books/de…
Day 2 in the history of cybernetics etc. Rise of the Machines: the lost history of cybernetics by Thomas Rid. play.google.com/store/books/de…
Day 3. The classic: Philip Mirowski's Machine Dreams: Economics Becomes a Cyborg Science play.google.com/store/books/de…
Read 12 tweets
Nov 26, 2022
@CzypionkaThomas Hab genau das Gleiche so im März 2020 geschrieben. Ist halt leider komplett durch die Realität widerlegt worden. Wissenschaftlich ausgedrückt: die Nullhypothese ist nicht falsifizierbar, ganz einfach weil die Nullhypothese viel näher an der Realität ist als die Kausalhypothese.
@CzypionkaThomas Anders ausgedrückt, das was wir damals als kausal angesehen haben (Japan, Hongkong etc.) hat sich nicht in irgendeiner Form irgendwo anders replizieren lassen, insbesondere nicht in den populären Universalhypothesen "Maske wirkt" oder, enger umschrieben, "Maskenpflicht wirkt".
@CzypionkaThomas Zugegebenermassen ist die Hürde für einen Kausalnachweis doppelt hoch: eine Differenz zwischen Treatment und Control muss nicht nur statistisch signifikant sein, sondern auch politikrelevant, dh die Wirkung muss gross genug sein um die Sozialkosten des Eingriffs zu rechtfertigen.
Read 6 tweets
Nov 15, 2022
A single truth without a single source: a thread 🧵. Thinking about decentralized systems means thinking about how an organization can agree upon what it holds to be true and how this relates to the actual ground truth. /1
A “single source of truth” is a concept from information science, but it’s so universal that it can be applied to a whole variety of scenarios and organizations. /2
It means that whenever participants disagree about the state of the world, or a particular aspect of it, a single designated participant gets to decide which state is the true state. /3
Read 26 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(