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π Science and technology

Edge innovation: a creative approach to revealing the unexpected?

Didier Bazalgette
Didier Bazalgette
Senior Officer in the French Army and Economics Lecturer at Sciences Po Paris
Jean LANGLOIS-BERTHELOT
Jean Langlois-Berthelot
Ph.D. in Applied Mathematics and Head of Division in the French Army
Christophe Gaie
Christophe Gaie
Head of the Engineering and Digital Innovation Division at the Prime Minister's Office
Key takeaways
  • Edge innovation explores atypical, often neglected research that can lead to major discoveries such as X-rays or the theory of relativity.
  • This approach encourages interdisciplinarity, fostering innovative synergies between different areas of research.
  • Redirecting resources towards exploratory projects can diversify scientific approaches and reduce the risk of dead ends.
  • Valuing productive failures in such research is crucial, as they can open up unexpected new avenues.
  • Citizen participation enriches edge innovation by providing new perspectives and facilitating the social acceptance of discoveries.

Edgein­no­va­tion illus­trates how invest­ment in orig­i­nal or atyp­i­cal research can unlock unex­pect­ed research avenues and results, open­ing up new per­spec­tives for tech­no­log­i­cal and sci­en­tif­ic development.

The challenges of edge innovation

Edge inno­va­tion refers to the strat­e­gy of invest­ing in research projects that are off the beat­en track and out­side the imme­di­ate pri­or­i­ties of sci­ence and tech­nol­o­gy. Unlike tra­di­tion­al research focused on clear­ly defined objec­tives and direct appli­ca­tions, these projects explore periph­er­al ques­tions, often spec­u­la­tive, but which can lead to rev­o­lu­tion­ary dis­cov­er­ies. The impor­tance of this approach lies in its abil­i­ty to decom­part­men­talise sci­en­tif­ic research and open up new per­spec­tives. By focus­ing on more unusu­al areas, researchers can iden­ti­fy nov­el con­nec­tions and inno­v­a­tive solu­tions to com­plex problems.

The his­to­ry of sci­ence is rich in exam­ples of major dis­cov­er­ies result­ing from seem­ing­ly mar­gin­al research. One of the most famous exam­ples is that of X‑rays, dis­cov­ered by Wil­helm Con­rad Rönt­gen in 1895 while study­ing the prop­er­ties of cath­ode rays1. This chance dis­cov­ery rev­o­lu­tionised med­i­cine and physics, demon­strat­ing the enor­mous poten­tial of explorato­ry research. Sim­i­lar­ly, Albert Einstein’s the­o­ry of rel­a­tiv­i­ty emerged from his reflec­tions on prob­lems of mechan­ics and elec­tro­mag­net­ism that were not cen­tral to the sci­en­tif­ic con­cerns of his time. These exam­ples illus­trate how edge inno­va­tion can lead to major sci­en­tif­ic and tech­no­log­i­cal breakthroughs.

Unconventional fields of research: fertile ground for innovation

An emblem­at­ic exam­ple of edge inno­va­tion is the search for extrater­res­tri­al sig­nals, notably through ini­tia­tives such as Berke­ley and NASA’s SETI (Search for Extrater­res­tri­al Intel­li­gence) pro­gramme2. Although the prob­a­bil­i­ty of detect­ing extrater­res­tri­al sig­nals is uncer­tain, the tech­nolo­gies and meth­ods devel­oped for this type of research have poten­tial appli­ca­tions in oth­er fields of sci­ence and tech­nol­o­gy. The data pro­cess­ing algo­rithms and sig­nal detec­tion tech­niques used by the SETI pro­gramme have been adapt­ed to analyse large datasets in the life sci­ences, cli­ma­tol­ogy and even finance. This cross-dis­ci­pli­nary use of tools and meth­ods is a per­fect illus­tra­tion of the con­cept of edge innovation.

Invest­ing in uncon­ven­tion­al research can also have a sig­nif­i­cant impact on the devel­op­ment of arti­fi­cial intel­li­gence (AI). Advances in AI often ben­e­fit from dis­cov­er­ies made in seem­ing­ly unre­lat­ed fields. For exam­ple, research in neu­ro­science has pro­found­ly influ­enced the neur­al net­work mod­els used in AI.

What strategies are needed to facilitate edge innovation?

To max­imise the ben­e­fits of edge inno­va­tion, it is vital to have research man­agers who are will­ing to sup­port this approach and to put in place spe­cif­ic strate­gies to opti­mise exist­ing resources.

Proposal #1: Encourage interdisciplinary research

Col­lab­o­ra­tion between dif­fer­ent dis­ci­plines is essen­tial to fos­ter edge inno­va­tion. By bring­ing togeth­er experts from dif­fer­ent fields, it is pos­si­ble to cre­ate syn­er­gies that enable the dis­cov­ery of inno­v­a­tive solu­tions to com­plex prob­lems3. Col­lec­tive intel­li­gence feeds on the diver­si­ty of view­points so that “1 ⊕ 1 = 3” since the intel­li­gence of two peo­ple exceeds the sum of their sep­a­rate intelligences.

Research insti­tu­tions and uni­ver­si­ties should pro­mote inter­dis­ci­pli­nary projects and pro­vide plat­forms to facil­i­tate these col­lab­o­ra­tions. High­light­ing proven method­olo­gies for inter­dis­ci­pli­nar­i­ty can act as a cat­a­lyst in the process, improv­ing effi­cien­cy and hence results4. Par­tic­u­lar atten­tion needs to be paid to the oth­er com­po­nents of research to involve them in the process and to ensure the community’s sup­port. “Inter­dis­ci­pli­nary research is not car­ried out at the expense of basic research but sup­ports it to reveal its full potential.”

Proposal #2: redeploy existing resources

Rather than hav­ing to jus­ti­fy bud­gets with exces­sive fre­quen­cy, it is pos­si­ble to ratio­nalise and real­lo­cate exist­ing resources to more explorato­ry projects. For exam­ple, by real­lo­cat­ing some of the funds allo­cat­ed to tra­di­tion­al projects to more uncon­ven­tion­al research, it is pos­si­ble to diver­si­fy research port­fo­lios and encour­age inno­va­tion. This real­lo­ca­tion can be achieved by pre­sent­ing the results and the per­for­mance achieved. In fact, these are often more effec­tive in the long term56, par­tic­u­lar­ly when they enable us to respond to a new field such as the use of arti­fi­cial intel­li­gence for agri­cul­ture, the eco­log­i­cal tran­si­tion, med­i­cine, etc.

To select projects for fund­ing, it is there­fore rec­om­mend­ed that a rig­or­ous eval­u­a­tion grid be put in place, pri­ori­tis­ing ini­tia­tives with strong poten­tial for dis­rup­tive inno­va­tion, close align­ment with the organisation’s strate­gic objec­tives and suf­fi­cient tech­no­log­i­cal matu­ri­ty to ensure their fea­si­bil­i­ty. This strate­gic real­lo­ca­tion, by favour­ing explorato­ry research projects, offers a for­mi­da­ble lever for stim­u­lat­ing inno­va­tion. It will allow for the devel­op­ment of new exper­tise, push­ing back the fron­tiers of our field and acquir­ing a sus­tain­able com­pet­i­tive advan­tage. Although this approach involves the uncer­tain­ties inher­ent in research, the poten­tial ben­e­fits in terms of major dis­cov­er­ies and new appli­ca­tions are considerable.

Proposal #3: Make the most of productive failures

Edge inno­va­tion often involves a degree of risk, and it is cru­cial to make the most of pro­duc­tive fail­ures. Fail­ures in these areas can pro­vide valu­able infor­ma­tion and open up new avenues of research. Cre­at­ing a cul­ture that val­ues exper­i­men­ta­tion and accepts fail­ure as an inte­gral part of the sci­en­tif­ic process is essen­tial to encour­age innovation. 

Proposal #4: Rely on citizen participation

Edge inno­va­tion can also emerge spon­ta­neous­ly in the event of a major cri­sis. The Covid-19 pan­dem­ic7, major mil­i­tary events or cli­mate change are obvi­ous exam­ples. When the com­mon inter­ests of human­i­ty are at stake, cit­i­zens from all walks of life come togeth­er to con­tribute their knowl­edge, skills and exper­tise in the ser­vice of the gen­er­al interest.

Edge inno­va­tion often involves a degree of risk, and it is cru­cial to make the most of pro­duc­tive failures.

There are sev­er­al mech­a­nisms that can be used to encour­age cit­i­zen par­tic­i­pa­tion. For exam­ple, co-cre­ation plat­forms offer a space for dia­logue where cit­i­zens, researchers and com­pa­nies can work togeth­er to define research issues, co-con­struct projects and share the results. Anoth­er pos­si­bil­i­ty is to organ­ise open ideas com­pe­ti­tions. This enables inno­v­a­tive pro­pos­als to be col­lect­ed and emerg­ing tal­ent to be iden­ti­fied. Final­ly, open­ing up data is a major way of facil­i­tat­ing the emer­gence of these col­lab­o­ra­tive ven­tures89.

Cit­i­zen par­tic­i­pa­tion offers major prospects for edge inno­va­tion. It brings new research ques­tions to the fore by bring­ing togeth­er the whole of civ­il soci­ety, of which researchers are an active stake­hold­er. It fos­ters the cross-fer­til­i­sa­tion of ideas and their com­bi­na­tion to meet the high expec­ta­tions of the pop­u­la­tion and accel­er­ates the adop­tion of ideas and inno­va­tions, facil­i­tat­ing the dis­sem­i­na­tion of knowledge.

Future prospects

Edge inno­va­tion offers an essen­tial per­spec­tive for broad­en­ing the scope of sci­en­tif­ic and tech­no­log­i­cal research. This approach, which involves explor­ing uncon­ven­tion­al or periph­er­al areas, is prov­ing its worth by open­ing up avenues of dis­cov­ery often over­looked by tra­di­tion­al meth­ods. His­tor­i­cal exam­ples show that major break­throughs, such as the dis­cov­ery of X‑rays or the the­o­ry of rel­a­tiv­i­ty, emerged from seem­ing­ly mar­gin­al research, under­lin­ing the impor­tance of sup­port­ing such initiatives.

In an increas­ing­ly com­pet­i­tive and spe­cialised research envi­ron­ment, edge inno­va­tion is prov­ing nec­es­sary to stim­u­late dis­rup­tive advances. By encour­ag­ing inter­dis­ci­pli­nary col­lab­o­ra­tion, real­lo­cat­ing resources to explorato­ry projects, and mak­ing the most of pro­duc­tive fail­ures, this method makes it pos­si­ble to diver­si­fy approach­es and reduce the risk of sci­en­tif­ic dead-ends. What’s more, cit­i­zen par­tic­i­pa­tion can enrich this dynam­ic, by pro­vid­ing new per­spec­tives and pro­mot­ing the social accep­tance of innovations.

In con­clu­sion, edge inno­va­tion is not just an option, but a neces­si­ty for research insti­tu­tions wish­ing to remain at the cut­ting edge of sci­en­tif­ic and tech­no­log­i­cal dis­cov­ery. It is an essen­tial com­ple­ment to tra­di­tion­al approach­es, enabling the explo­ration of unchart­ed ter­ri­to­ry and the antic­i­pa­tion of future challenges.

1Nüsslin, Fridtjof. “Wil­helm Con­rad Rönt­gen: The sci­en­tist and his dis­cov­ery.” Phys­i­ca Med­ica 79 (Novem­ber 1, 2020): 65–68. https://​doi​.org/​1​0​.​1​0​1​6​/​j​.​e​j​m​p​.​2​0​2​0​.​1​0.010
2Mor­ri­son, Philip, John Billing­ham, and John Wolfe. “The Search for Extrater­res­tri­al Intel­li­gence (SETI).” NASA Tech­ni­cal Reports Serv­er (NTRS), Jan­u­ary 1, 1977. https://​ntrs​.nasa​.gov/​c​i​t​a​t​i​o​n​s​/​1​9​7​8​0​0​10828
3Tobi, H., Kam­p­en, J.K. Research design: the method­ol­o­gy for inter­dis­ci­pli­nary research frame­work. Qual Quant 52, 1209–1225 (2018). https://doi.org/10.1007/s11135-017‑0513‑8
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6Rons, Nadine. “Inter­dis­ci­pli­nary Research Col­lab­o­ra­tions: Eval­u­a­tion of a Fund­ing Pro­gram.” Coll­net Jour­nal of Sci­en­to­met­rics and Infor­ma­tion Man­age­ment 5, no. 1 (June 1, 2011): 17–32. https://​doi​.org/​1​0​.​1​0​8​0​/​0​9​7​3​7​7​6​6​.​2​0​1​1​.​1​0​7​00900
7Sharachchan­dra Lélé, Richard B. Nor­gaard, Prac­tic­ing Inter­dis­ci­pli­nar­i­ty, Bio­Science, Vol­ume 55, Issue 11, Novem­ber 2005, Pages 967–975, https://doi.org/10.1641/0006–3568(2005)055[0967:PI]2.0.CO;2
8Gaie, Mueck “Pub­lic ser­vices data ana­lyt­ics using arti­fi­cial intel­li­gence solu­tions derived from telecom­mu­ni­ca­tions sys­tems.” Inter­na­tion­al Jour­nal of Busi­ness Intel­li­gence and Sys­tems Engi­neer­ing 1, no. 4 (Jan­u­ary 1, 2021): 283. https://​doi​.org/​1​0​.​1​5​0​4​/​i​j​b​i​s​e​.​2​0​2​1​.​1​22747
9Evans, A. M., & Cam­pos, A. (2013). OPEN GOVERNMENT INITIATIVES: CHALLENGES OF CITIZEN PARTICIPATION. Jour­nal of Pol­i­cy Analy­sis and Man­age­ment, 32(1), 172–185. http://​www​.jstor​.org/​s​t​a​b​l​e​/​4​2​0​01520

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