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Oh Canada! LES Annual Meeting Takes A Global View

President's Message:
Obvious Change

Power Networking Hits The Mark

Licensing Foundation Graduate Student Business Plan Competition

Healthcare Sector:
Decision Making Confirmed By Neuroeconomics

CEMC Activities
Annual Meeting Vancouver

Atlanta Recap:
On The Road In Atlanta: Supreme Court To NASCAR

A Traveler’s Guide To LES Local Chapters
Kansas City Here I Come
Chicago, It’s My Kind of Town
The Heart of Rock ‘N Roll is in Cleveland

Chapter Launch, LES Québec

LES E-vent Resource Center—Have You Tried It?

Sponsorship Program Enhances Meetings And Education

Book Review
Are You Ready To Be A Deviant?

Slate Of Officers And Trustees For 2007

Introducing The LES Certified Licensing Professional

The Grandfathered CLP— Limited Time Offer!

LES On The Go

LES Calendar of Events

 

Sector Spotlight

New Committees, Activities and Trends

HealthcareHealthcare Sector
This is the fourth in a series of brief articles written by guest authors in the health care licensing area on current topics of high importance and interest to our licensing executives. Linda Pullan is the founder of Pullan Consulting, focused on biotech business development. She writes a free monthly newsletter on science and business in biotech (to subscribe, e-mail lpullan@msn.com). She has been a member of LES for years, in licensing and BD roles at big and small companies. We hope you enjoy the article!
Your LES Health Care Committee

Decision Making Confirmed By Neuroeconomics
By Linda M. Pullan, Ph.D.

Business development (and many other activities) involves decision making. Out-licensors decide what to tell a potential partner about an opportunity. In-licensors decide which opportunities to evaluate or to pursue for a deal. Each side decides the worth and structure of a deal. Given our role bridging science and business, and the central role of decision making in our world, learning a bit about the science behind how decisions are made seems worthwhile.

Traditional economic theory has maintained that humans and their organizations are rational decision-making entities, that each individual (and organization) has a clear sense of his own preferences, tries to maximize his own well being, and makes consistent choices over time. The decision maker evaluates the reward and the probability of the reward for each choice, in a deliberative calculation of utility.

Recently, neuroeconomics has added actual measurements of neural activity to the theories of economics. Neuroscientists have studied decisions by examining the effects of brain damage from stroke and other injuries, monitoring the activity of brain regions and neurons with functional imaging (fMRI and PET) of brain blood flow, single neuron recording, or EEG.

Neurobiologists have confirmed the biological calculation of utility. Reward values for each choice, it seems, are encoded as the integral of the excitatory input to the neurons. Single-cell recordings from neurons have shown that neural responses scale reliably with reward magnitude. In simple forced-choice tasks, the firing rate of neurons reflecting the selection of a response exhibit a progressive increase following presentation of a stimulus (information). The time it takes these response-selective neurons to cross a threshold of activity predicts the timing of the behavioral response. Negative utility (response conflict, errors, negative feedback and pain) calculations are also seen in neuronal responses and the magnitude of increased activity correlates with the magnitude of anticipated consequences.1,2

Thus, biology confirms some of the fundamentals of economic theory with neuronal calculations of utility.

However, human behavior is not the product of a single unified process, but rather reflects the interaction of different specialized subsystems. In many forms of decision making, especially those that involve a high level of risk and uncertainty, brain regions that are active in biases and emotions interact with the calculation of utility in decision making. There are also automatic systems that deal quickly with the familiar (the classic example is the automatic rapid recognition of faces). In remembering the way the decision was made, these automatic systems are often not recognized by the decision maker as playing any role. Although most of the time, these less deliberative systems interact synergistically to determine behavior, at times they compete, producing different responses towards the same information.

Examples of deviations from simple rational calculation of maximal utility are common. An important example is loss aversion. People and organizations often place disproportionate weight on avoiding losses compared to gains of similar absolute value. For example, most people are reluctant to play a gamble with 50% chance of winning $25 and 50% chance of losing $20, despite the gamble’s overall positive expected value.1

Another example of deviation from the simple calculation of utility is termed the certainty effect, where we are prone to underweight probable versus certain outcomes, preferring certainty out of proportion to the uncertainty in the other choice. And we all know the effect of framing of the question, termed the isolation effect, which finds inconsistent preferences for identical outcomes based on the story around the question, differences in choices that reflect how the outcomes are framed.3

There is also strong evidence that discounting is much steeper for short time delays than for longer delays, a phenomenon known as ‘hyperbolic time discounting.’ Offered a choice between $10 today and $11 in a week, many people are likely to choose the immediate $10. However, offered the choice between $10 in a year and $11 in a year and a week, most people would chose the $11, now considering the extra week of wait inconsequential. From the economist’s perspective, the calculation should be whether an extra dollar is worth a week’s wait or not.1 Imaging studies suggest immediate gratification activates the limbic structures involved in emotion, while delayed gratification activates evolutionarily newer cortical regions that evaluate trade-offs.4

These violations of the utility theory that humans commit have been replicated in animal studies; they are basic to our biology.5

Those of us trained as scientists may want decisions to be rational and not dependent on how we frame the question, or subject to uneven loss aversion. But for business development, persuasion and guidance toward good decisions means we must work with the decision making that biology has created.


1 Alan J. Sanfey, George Loewenstein, Samuel M. McClure, Jonathan D. Cohen (2006). Neuroeconomics: cross-currents in research on decision-making. Trends in Cognitive Sciences 10 (3): 108-116.
2 Kim H, Shimojo S, O’Doherty JP (2006). Is avoiding an aversive outcome rewarding? Neural substrates of avoidance learning in the human brain. PLoS Biol 4(8): e233.
3 Daniel Kahneman, Amos Tversky (1979). Prospect theory: An analysis of decision under risk. Econometrica 47(2): 263-291.
4 P.J. Zak, (2004). Neuroeconomics. Phil. Trans. R. Soc. Lond. B 359: 1737–1748
5 Colin Camerer, George Lowenstein, Drazen Prelec (2005). Neuroeconomics: How neuroscience can inform economics. J. Economic Literature XLIII: 9-64.


CEMC

Chemicals, Energy and Materials Sector

CEMC Activities...
Annual Meeting Vancouver
By Les Goff

Don't miss the "Future Forward Chemical and Energy Day" on Wednesday, October 17, at this year's Annual Meeting in Vancouver where the sector will offer an impressive lineup of speakers for the mini-plenary session with topical workshops to follow.

Many of the leading topics in today's energy world will wrap up in one exciting day. The focus is innovation from intellectual assets and ways of creating value propositions using intellectual property.

The speakers for the mini-plenary session include Lorena Foster, Alberta Research Council, the team leader in the Heavy Oil and Sands Group and David Gobey, Director of Marketing, ATECH, Ohio State University. They will discuss innovative academic/local industry partnerships in the Ohio Bio Products Innovation Center. Also, Gordon Petrash from Cargill will highlight sustainable chemistry opportunities and Ron Mosso, COO of NanoGram will present the latest in NanoTechnology issues. In addition, Dr. Katsuyuki from Showa Denko, K.K. will enlighten the group on green chemical processes via catalyzation through solid heteropolyacids.

Also, do not forget the CEMC and Government Laboratory Transactions Sector co-sponsored Add-On Seminar PDS 202 (IAM Strategy) Cyber-Competitive Intelligence, Monday, October 15.

This intensive, hands-on competitive intelligence methodology intermediatelevel workshop will present scoping and proposing relevant projects, current on-line information services, patent information sources, and the use of an available advanced search tool. Participants will be given useful tools and techniques for developing meaningful projects, resulting in relevant recommendations for business action. A case study will be presented on the subject of Nanotechnology. Three members of CEMC will present: Phil Barnett, Pricewaterhouse-Coopers, Ada Nielsen, BP America and Jack Peregrim, Paragon Development.

There is also a Chemicals, Energy and Materials Sector dinner, Tuesday, October 16 in anticipation of "Future Forward Chemicals and Energy Day."

Volunteers! We are always looking for support. Anyone interested or with ideas for the CEMC sector, please contact Les Goff, Co-Chair CEMC, at leslie.goff@noetictechnologies.com.



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