‘Low carbon’ scenarios, roadmaps, transitions and pathways: an overview and discussion

There are a range of studies based in the low carbon arena which use various ‘futures’- based techniques as ways of exploring uncertainties. These techniques range from ‘scenarios’ and ‘roadmaps’ through to ‘transitions’ and ‘pathways’ as well as ‘vision’-based techniques. The overall aim of the paper is therefore to compare and contrast these techniques to develop a simple working typology with the further objective of identifying the implications of this analysis for RETROFIT 2050. Using recent examples of city-based and energy-based studies throughout, the paper compares and contrasts these techniques and finds that the distinctions between them have often been blurred in the field of low carbon. Visions, for example, have been used in both transition theory and futures/Foresight methods, and scenarios have also been used in transition-based studies as well as futures/Foresight studies. Moreover, Foresight techniques which capture expert knowledge and map existing knowledge to develop a set of scenarios and roadmaps which can inform the development of transitions and pathways can not only help potentially overcome any ‘disconnections’ that may exist between the social and the technical lenses in which such future trajectories are mapped, but also promote a strong ‘co-evolutionary’ content.

Models@run.time:foundations, applications, and roadmaps

Traditionally, research on model-driven engineering (MDE) has mainly focused on the use of models at the design, implementation, and verification stages of development. This work has produced relatively mature techniques and tools that are currently being used in industry and academia. However, software models also have the potential to be used at runtime, to monitor and verify particular aspects of runtime behavior, and to implement self-* capabilities (e.g., adaptation technologies used in self-healing, self-managing, self-optimizing systems). A key benefit of using models at runtime is that they can provide a richer semantic base for runtime decision-making related to runtime system concerns associated with autonomic and adaptive systems. This book is one of the outcomes of the Dagstuhl Seminar 11481 on models@run.time held in November/December 2011, discussing foundations, techniques, mechanisms, state of the art, research challenges, and applications for the use of runtime models. The book comprises four research roadmaps, written by the original participants of the Dagstuhl Seminar over the course of two years following the seminar, and seven research papers from experts in the area. The roadmap papers provide insights to key features of the use of runtime models and identify the following research challenges: the need for a reference architecture, uncertainty tackled by runtime models, mechanisms for leveraging runtime models for self-adaptive software, and the use of models at runtime to address assurance for self-adaptive systems.

Direction, legitimacy and structuration in technological innovation systems upscaling-insights from roadmaps for deepwater offshore wind energy

This research investigates strategies aiming to accelerate the up-scaling of low- carbon innovations. We adopt the technological innovation systems (TIS) perspective to focus on structuration or system building processes, including key innovative activities. We analyze national roadmaps that have been developed for offshore wind energy in deep waters - more than 50 meters deep where most of the potential is expected but whose technologyis more immature . in Europe. The roadmaps analysis not only reveals how actors expect the TIS grow but also enables the understanding about the critical functions at this stage, such as direction of search and legitimacy.

XSophe-Sophe-XeprView (R). A computer simulation software suite (v. 1.1.3) for the analysis of continuous wave EPR spectra

The XSophe-Sophe-XeprView((R)) computer simulation software suite enables scientists to easily determine spin Hamiltonian parameters from isotropic, randomly oriented and single crystal continuous wave electron paramagnetic resonance (CW EPR) spectra from radicals and isolated paramagnetic metal ion centers or clusters found in metalloproteins, chemical systems and materials science. XSophe provides an X-windows graphical user interface to the Sophe programme and allows: creation of multiple input files, local and remote execution of Sophe, the display of sophelog (output from Sophe) and input parameters/files. Sophe is a sophisticated computer simulation software programme employing a number of innovative technologies including; the Sydney OPera HousE (SOPHE) partition and interpolation schemes, a field segmentation algorithm, the mosaic misorientation linewidth model, parallelization and spectral optimisation. In conjunction with the SOPHE partition scheme and the field segmentation algorithm, the SOPHE interpolation scheme and the mosaic misorientation linewidth model greatly increase the speed of simulations for most spin systems. Employing brute force matrix diagonalization in the simulation of an EPR spectrum from a high spin Cr(III) complex with the spin Hamiltonian parameters g(e) = 2.00, D = 0.10 cm(-1), E/D = 0.25, A(x) = 120.0, A(y) = 120.0, A(z) = 240.0 x 10(-4) cm(-1) requires a SOPHE grid size of N = 400 (to produce a good signal to noise ratio) and takes 229.47 s. In contrast the use of either the SOPHE interpolation scheme or the mosaic misorientation linewidth model requires a SOPHE grid size of only N = 18 and takes 44.08 and 0.79 s, respectively. Results from Sophe are transferred via the Common Object Request Broker Architecture (CORBA) to XSophe and subsequently to XeprView((R)) where the simulated CW EPR spectra (1D and 2D) can be compared to the experimental spectra. Energy level diagrams, transition roadmaps and transition surfaces aid the interpretation of complicated randomly oriented CW EPR spectra and can be viewed with a web browser and an OpenInventor scene graph viewer.

Collaborative environment to support a professional community

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

Visions on high-speed trains: a methodological analysis

Based on the report for the unit “Foresight Analysis Methods” of the PhD program on Technology Assessment in 2013. This unit was supervised by Prof. António Moniz. The paper had meanwhile contributions from the supervisor and Dr. Douglas Robinson.

IPH response to RICHE questionnaire on child health research in Europe

Request to participate in an expert group review of child health research gaps and priorities in Ireland and Northern Ireland IPH responded to a questionnaire from the FP7 funded project - RICHE ( www.childhealthresearch.eu). The project goal is to produce an inventory of child health research in Europe, identify gaps in existing and on-going research, and devise a series of roadmaps for the future of child health research. This is co-ordinated by Anthony Staines from DCU, and Michael Rigby, from the Nordic School. This specific phase of the project is being co-ordinated by Matilde Leonardi and Giorgio Tamburlini in Italy.

Roadmap tecnológico em matérias-primas renováveis: uma base para a construção de políticas e estratégias no Brasil

This paper presents a technology roadmap applied to renewable raw materials as a basis for public policy and strategies in Brazil. The roadmap, developed by Braskem professionals and academic experts, intends to be a basis of discussion and common language creation regarding the possible utilization of renewable raw materials for biofuel and chemical production in Brazil. Following this perspective, the roadmap is presented to public debate and contribution from the stakeholders. The paper describes the roadmap construction and presents the main implications for policy and strategy goals. An analysis of the innovation dynamics in renewable raw materials is developed as an outcome of the roadmap.

Agile CRM System Implementation Project

The application of information technology (IT) in customer relationship management (CRM) is growing rapidly as many companies implement CRM systems to support their numerous customer facing activities. However, failure rates of CRM projects remain notably high as they deliver scant solutions and poor user acceptance. As a consequence, it is justified to study previously researched CRM success factors and apply them to CRM system implementation. The aim of this master’s thesis was to get acquainted with relevant academic theories, frameworks and practices concerning CRM and agile development, and use them to generate a modified CRM project strategy to support the successful execution of the case company’s, Process Vision Oy, CRM implementation project. The empirical CRM system implementation project was conducted simultaneously with writing this thesis. Its theoretical findings could be transferred into practice through active participation in the CRM system development and deployment work. The project’s main goal was to produce and take into use a functioning CRM system. The goal was met, since at the time of printing this thesis the first system release was successfully published to its users at Process Vision’s marketing and sales departments. The key success elements in the CRM project were cyclic, iterative system development, customer oriented approach, user inclusion and flexible project management. Implying agile development practices ensured being able to quickly respond to changes arising during the progress of the CRM project. Throughout modelling of the core sales process formed a strong basis, on which the CRM system’s operational and analytical functionalities were built. End users were included in the initial specification of system requirements and they provided feedback on the system’s usage. To conclude, the chosen theoretical CRM roadmaps and agile development practices proved as beneficial in the successful planning and execution of the agile CRM system implementation project at Process Vision.

Idea- ja innovaatioporfolion hallinta

Tässä kandidaatintyössä tarkastellaan idea- ja innovaatioportfolion hallintaa, portfoliojohtamista sekä näihin soveltuvia erilaisia menetelmiä yrityksen näkökulmasta. Tavoitteena on luoda yleiskatsaus yleisimpiin käytettyihin menetelmiin ja viitekehyksiin. Lähteinä työssä on käytetty sähköisiä tietokantoja ja alan kirjallisuutta. Käytetyimmät portfolion hallintamenetelmät voidaan jakaa neljään ryhmään: taloudelliset ja rahamääräiset mittarit, liiketoimintastrategiat, portfoliokartat tai kupla-diagrammit, scorecard:it eli pisteytystaulukot sekä tarkistuslistat. Idea- ja innovaatioportfolion hallinnan tavoitteena on luoda yrityksen kannalta mahdollisimman tehokas ja tuottava portfolio, joka on kuitenkin linjassa yrityksen strategian kanssa. Portfolion projekteille jaettavissa olevat resurssit ovat niukat, joten resurssien jakoon ja tehokkaaseen hyödyntämiseen tulee kiinnittää huomiota. Portfolion tasapainottamiseksi on hyvä tarkastella kehitys- ja tutkimusprojektien määrää, kokoa ja riskiä. Teknologiatiekartta on yrityksen strateginen työkalu, jolla se voi suunnata toimintaansa kohti sen visiota. Teknologiatiekartta koostuu yrityksen valitsemista markkinoista, niille suunnatuista tuotteista tai palveluista, sekä näiden vaatimista tuotekehitysprojekteista ja teknologioista. Projektien etenemistä voidaan tarkastella stage-gate -mallin avulla. Stage-gate jakaa projektin porteilla eri vaiheisiin. Jokaisen portin läpäistäkseen projektin tulee täyttää sille asetetut vaatimukset. Menetelmät eivät takaa menestystä, vaan yrityksen on valittava itselleen sopivat menetelmät siten, että ne tukevat portfoliojohtamista ja sopivat yhteen yrityskulttuurin kanssa. Pelkkä mittareihin tuijottaminen ei riitä, vaan niiden taakse on myös osattava katsoa ja huomioida yrityksen strategia.

Tuotehallinnan tietoprosessin haasteet ja kehittäminen ohjelmistoyrityksessä

Diplomityössä tutustuttiin ohjelmistoyrityksen tuotteiden asiakastarpeiden ja vaatimusten käsittelyyn tuotehallinnan tietoprosessin näkökulmasta. Työssä kuvattiin yrityksen nykyinen prosessi sekä analysoitiin erityisesti sen haasteita. Teoriatiedon sekä yrityksen asiantuntijalausuntojen pohjalta laadittiin tuotehallinnan tietoprosessin kehitysehdotuksia. Kvalitatiivinen tapaustutkimus toteutettiin käytännönläheisesti esittämällä kohdeyrityksen asiantuntijoille avoimia kysymyksiä sekä heidän kanssaan keskustellen. Tutkimus tehtiin neljässä vaiheessa ja sen päätavoitteena oli selvittää, millä keinoilla voidaan tukea kohdeyrityksen tuotekehitystarpeisiin ja tuotekehitysehdotuksiin liittyvän tiedon hallintaa sekä tuotantopäätöksiä. Tutkimuksen teoreettinen viitekehys koostui organisaation tietoprosessista, organisaation päätöksentekoprosessista, ohjelmistotuotteen erityispiirteistä sekä ohjelmiston tuotehallinnasta. Kohdeyrityksen tuotehallinnan tietoprosessin kehittämisen keskeisiksi tekijöiksi nousivat tuotehallinnan tukena käytettävän tietojärjestelmän ominaisuudet, tiedon hakeminen, tiedon löytäminen ja tulkinta. Kehityskohteiksi nousivat lisäksi prosessin kulku, perustuotekehityksen ja asiakastoimituksien rinnakkainen hallinta sekä asiakasarvon tuottaminen tuotehallinnan keinoin. Tutkimuksen lopputuloksena toteutettiin kohdeyrityksen tuotehallinnan tietoprosessin tavoitetilan kuvaus. Tavoitetilan elementtejä olivat tuotteiden pidemmän tähtäimen suunnitelmat (roadmap), tuotehallinnan organisointi tiimeille sekä sensemaking-prosessin hyödyntäminen osapuolien yhteisen ymmärryksen luomiseksi kehitystarpeille. Käytössä olevan tietojärjestelmän kehitysehdotukset perustuivat näiden tuotehallinnan elementtien tukemiseen.

Managing Change: An Organizational Outline for Reimagining the Digital Repository Infrastructure at The Ohio State University Libraries

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Vorausschau und Planung neuer Technologiepfade in Unternehmen

Unternehmen konkurrieren in einem globalen Wettbewerb um den Transfer neuer Technologien in erfolgreiche Geschäftsmodelle. Aus diesem Grund stehen sie zunehmend der Herausforderung gegenüber, technologische Potenziale frühzeitig zu identifizieren, zu bewerten und Strategien für das Erschließen dieser Potenziale zu entwickeln. Dies ist zentraler Gegenstand der Vorausschau und Planung neuer Technologiepfade. In der vorliegenden Arbeit wird gemeinsam mit vier Unternehmen ein Leitfaden für die Strategiefindung, Entwicklung und Kommerzialisierung neu aufkommender Technologien entwickelt und angewendet. Den Ausgangspunkt der Arbeit bildet eine systematische Aufarbeitung des Forschungsstandes der Vorausschau und Planung neuer Technologien. Anschließend wird ein Beschreibungsmodell der Entstehung neuer Technologiepfade in technologiebasierten Innovationssystemen entwickelt. Auf Basis dieses Modells werden unterschiedliche Kategorien von Einflussfaktoren definiert, die als Analyserahmen für die neu entstehende Technologie dienen. Auf Basis der in der Literatur dokumentierten Abläufe, Teamstrukturen und Methoden (z.B. Roadmaps, Szenarien, Datenbankanalysen) wird ein sechsstufiger Ansatz für die Durchführung der Vorausschau und Planung neuer Technologiepfade konzipiert. Dieser Ansatz wird in vier Firmen für die Vorausschau und Planung neuer Technologien angewendet. Die untersuchten Technologien lassen sich den Feldern Biotechnologie, Nanotechnologie, Umwelttechnologie und Sensorik zuordnen. Zentrales Ergebnis der Arbeit ist ein entsprechend der Erfahrungen in den Unternehmen angepasster Ansatz für die Vorausschau und Planung neuer Technologiepfade. Dieser Ansatz ist in Abhängigkeit von Unternehmens- und Technologiecharakteristika für die weitere Anwendung konkretisiert. Dabei finden die zu beteiligenden Organisationseinheiten, zu betrachtende Einflussfaktoren sowie anwendbare Methoden besondere Berücksichtigung. Die Arbeit richtet sich an Personen in Führungspositionen im Bereich des strategischen Technologiemanagements sowie der Forschung und Entwicklung in Unternehmen, die Strategien für neu aufkommende Technologien entwickeln. Weiterhin sind die Ergebnisse der Arbeit für Wissenschaftler auf dem Gebiet der Methoden zur Vorausschau und Strategieentwicklung für neue Technologien von Interesse.