@proceedings {wang2024reelframer, title = {ReelFramer: Human-AI Co-Creation for News-to-Video Translation}, year = {2024}, address = {Honolulu, Hawai{\textquoteright}i}, abstract = {

Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels -- short videos conveying news -- but struggle to translate traditional journalistic formats into short, entertaining videos. To translate news into social media reels, we support journalists in reframing the narrative. In literature, narrative framing is a high-level structure that shapes the overall presentation of a story. We identified three narrative framings for reels that adapt social media norms but preserve news value, each with a different balance of information and entertainment. We introduce ReelFramer, a human-AI co-creative system that helps journalists translate print articles into scripts and storyboards. ReelFramer supports exploring multiple narrative framings to find one appropriate to the story. AI suggests foundational narrative details, including characters, plot, setting, and key information. ReelFramer also supports visual framing; AI suggests character and visual detail designs before generating a full storyboard. Our studies show that narrative framing introduces the necessary diversity to translate various articles into reels, and establishing foundational details helps generate scripts that are more relevant and coherent. We also discuss the benefits of using narrative framing and foundational details in content retargeting.

}, url = {https://arxiv.org/abs/2304.09653}, author = {Sitong Wang and Samia Menon and Tao Long and Keren Henderson and Dingzeyu Li and Kevin Crowston and Mark Hansen and Jeffrey V. Nickerson and Lydia B. Chilton} } @article {McLeay2020, title = {Replaced by a Robot: Service Implications in the Age of the Machine}, journal = {Journal of Service Research}, year = {2020}, abstract = {Service organizations, emboldened by the imperative to innovate, are increasingly introducing robots to frontline service encounters. However, as they augment or substitute human employees with robots, they may struggle to convince a distrusting public of their brand{\textquoteright}s ethical credentials. Consequently, this article develops and tests a holistic framework to ascertain a deeper understanding of customer perceptions of frontline service robots (FLSRs) than has previously been attempted. Our experimental studies investigate the effects of the (1) role (augmentation or substitution of human employees or no involvement) and (2) type (humanoid FLSR vs. self-service machine) of FLSRs under the following service contexts: (a) value creation model (asset-builder, service provider) and (b) service type (experience, credence). By empirically establishing our framework, we highlight how customers{\textquoteright} personal characteristics (openness-to-change and preference for ethical/responsible service provider) and cognitive evaluations (perceived innovativeness, perceived ethical/societal reputation, and perceived innovativeness-responsibility fit) influence the impact that FLSRs have on service experience and brand usage intent. Our findings operationalize and empirically support seminal frameworks from extant literature, as well as elaborate on the positive and negative implications of using robots to complement or replace service employees. Further, we consider managerial and policy implications for service in the age of machines.}, keywords = {brand usage intent, ethical/societal reputation, service experience, service innovativeness, service robots}, issn = {15527379}, doi = {10.1177/1094670520933354}, author = {McLeay, Fraser and Osburg, Victoria Sophie and Yoganathan, Vignesh and Patterson, Anthony} } @booklet {Willcocks2020, title = {Robo-Apocalypse cancelled? Reframing the automation and future of work debate}, howpublished = {Journal of Information Technology}, number = {2016}, year = {2020}, abstract = {Robotics and the automation of knowledge work, often referred to as AI (artificial intelligence), are presented in the media as likely to have massive impacts, for better or worse, on jobs skills, organizations and society. The article deconstructs the dominant hype-and-fear narrative. Claims on net job loss emerge as exaggerated, but there will be considerable skills disruption and change in the major global economies over the next 12 years. The term AI has been hijacked, in order to suggest much more going on technologically than can be the case. The article reviews critically the research evidence so far, including the author{\textquoteright}s own, pointing to eight major qualifiers to the dominant discourse of major net job loss from a seamless, overwhelming AI wave sweeping fast through the major economies. The article questions many assumptions: that automation creates few jobs short or long term; that whole jobs can be automated; that the technology is perfectible; that organizations can seamlessly and quickly deploy AI; that humans are machines that can be replicated; and that it is politically, socially and economically feasible to apply these technologies. A major omission in all studies is factoring in dramatic increases in the amount of work to be done. Adding in ageing populations, productivity gaps and skills shortages predicted across many G20 countries, the danger might be too little, rather than too much labour. The article concludes that, if there is going to be a Robo-Apocalypse, this will be from a collective failure to adjust to skills change over the next 12 years. But the debate needs to be widened to the impact of eight other technologies that AI insufficiently represents in the popular imagination and that, in combination, could cause a techno-apocalypse.}, keywords = {AI, automation, cognitive automation, future of work, Information Technology, Jobs, robotic process automation, skills}, isbn = {0268396220925}, issn = {14664437}, doi = {10.1177/0268396220925830}, author = {Willcocks, Leslie} } @booklet {Riemer2020, title = {The robo-apocalypse plays out in the quality, not in the quantity of work}, howpublished = {Journal of Information Technology}, year = {2020}, issn = {14664437}, doi = {10.1177/0268396220923677}, author = {Riemer, Kai and Peter, Sandra} } @article {Arduengo2020, title = {The Robot Economy : Here It Comes}, journal = {International Journal of Social Robotics}, number = {July}, year = {2020}, publisher = {Springer Netherlands}, keywords = {blockchain, Cloud robotics, Intelligent robots, IoRT, Robot economy}, issn = {1875-4805}, doi = {10.1007/s12369-020-00686-1}, url = {https://doi.org/10.1007/s12369-020-00686-1}, author = {Arduengo, Miguel and Sentis, Luis} } @booklet {Dottori2020, title = {Robots and employment: evidence from Italy}, howpublished = {Questioni di Economia e Finanza}, number = {572}, year = {2020}, publisher = {Banca d{\textquoteright}Italia}, abstract = {The relocation of more polluting industries in poorer countries due to gaps in environmental standards is known as the pollution haven effect, whereby the scale and the composition of output change across countries. Changes in the composition of the output mix might translate into changes of comparative advantages across countries, as revealed by trade flows. This paper focus on this issue and looks at the changes of bilateral revealed comparative advantages (RCAs) in the last decade between China and the major fourteen EU countries (EU14). Using industry level data on bilateral trade, air pollution, water pollution and several measures of environmental stringency, we find that, controlling for other factors that may have affected RCAs, such as labor costs, on average our EU14 countries have kept or improved their advantages with respect to China in both water polluting industries (such as paper and agro-based industries) and air polluting industries (such as basic metals and chemicals), while they have lost competitiveness in the more clean industries (such as machinery and fabricated metals).}, author = {Dottori, Davide} } @article {Petersen2020, title = {The Role of Discretion in the Age of Automation}, journal = {Computer Supported Cooperative Work: CSCW: An International Journal}, volume = {29}, number = {3}, year = {2020}, pages = {303{\textendash}333}, abstract = {This paper examines the nature of discretion in social work in order to debunk myths dominating prevalent debates on digitisation and automation in the public sector. Social workers have traditionally used their discretion widely and with great autonomy, but discretion has increasingly come under pressure for its apparent subjectivity and randomness. In Denmark, our case in point, the government recently planned to standardise laws to limit or remove discretion where possible in order for automation of case management to gain a foothold. Recent studies have focused on discretion in the public sector, but few have examined it explicitly and as part of real cases. As a consequence, they often leave the myths about discretion unchallenged. Inspired by the literature on discretion and CSCW research on rules in action, this study reports on an empirical investigation of discretion in child protection services in Denmark. The results of our analysis provide a new understanding of discretion as a cooperative endeavour, based on consultation and skill, rather than an arbitrary or idiosyncratic choice. In this manner, our study contradicts the myth of discretion inherent in the automation agenda. Correspondingly, we ask for attention to be given to systems that integrate discretion with technology rather than seek to undermine it directly or get around it surreptitiously. In this age of automation, this is not only an important but also an urgent task for CSCW researchers to fulfil.}, keywords = {Administrative work, automation, Casework, Decision-Making, Digital-ready legislation, Digitisation, Discretion, Rules in action, Social work}, issn = {15737551}, doi = {10.1007/s10606-020-09371-3}, author = {Petersen, Anette C.M. and Christensen, Lars Rune and Hildebrandt, Thomas T.} } @article {2019, title = {The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?}, journal = {Radiology: Artificial Intelligence}, volume = {1}, year = {2019}, month = {Jan-05-2019}, pages = {e180089}, doi = {10.1148/ryai.2019180089}, author = {Oakden-Rayner, Luke} } @mastersthesis {2019, title = {Recruiters just wanna have AI?}, year = {2019}, edition = {Spring semester 2019}, url = {https://liu.diva-portal.org/smash/get/diva2:1333711/FULLTEXT01.pdf}, author = {Hannimari Savola and Bijona Troqe} } @article {2019, title = {A Review of the Social Impacts and Ethical Implications of Artificial Intelligence}, year = {2019}, publisher = {Global AI Ethics}, keywords = {ethics}, url = {https://arxiv.org/ftp/arxiv/papers/1907/1907.07892.pdf}, author = {Alexa Hagerty and Igor Rubinov} } @article {2019, title = {The rise of robots! Effects on employment and income}, journal = {{\"O}neri Dergisi}, year = {2019}, month = {Jun-02-2019}, pages = {1 - 17}, issn = {1300-0845}, doi = {10.14783/maruoneri.vi.522005}, author = {{\"O}ZCAN, Rasim} } @article {2019, title = {Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis}, journal = {Trends in Cancer}, volume = {5}, year = {2019}, month = {Jan-03-2019}, pages = {157 - 169}, issn = {24058033}, doi = {10.1016/j.trecan.2019.02.002}, author = {Levine, Adrian B. and Schlosser, Colin and Grewal, Jasleen and Coope, Robin and Jones, Steve J.M. and Yip, Stephen} } @conference {2019, title = {The roles of initiated and received task interdependence}, booktitle = {Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences}, year = {2019}, publisher = {Hawaii International Conference on System Sciences}, organization = {Hawaii International Conference on System Sciences}, doi = {10.24251/HICSS.2019.119}, author = {Berntzen, Marthe and Wong, Sut I} } @proceedings {2018, title = {Recent advances in social \& cognitive robotics and imminent ethical challenges}, volume = {211}, year = {2018}, keywords = {ethics}, url = {https://www.atlantis-press.com/proceedings/rais-18/25902731}, author = {Ali Meghdari and Minoo Alemi} } @article {2018, title = {Recommendations to improve the nation{\textquoteright}s workforce and labor market information system}, year = {2018}, month = {01/2018}, url = {https://www.doleta.gov/wioa/wiac/docs/Second_Draft_of_the_WIAC_Final_Report.pdf} } @article {2018, title = {Reflections on the meaning of automated education}, journal = {education policy analysis archives}, volume = {26}, year = {2018}, month = {May-01-2018}, pages = {115}, doi = {10.14507/epaa.26.3863}, author = {Coelho, Heitor} } @article {2018, title = {Reinventing capitalism to address automation: Sharing work to secure employment and income}, journal = {Competition \& Change}, volume = {22}, year = {2018}, month = {Jan-08-2020}, pages = {343 - 362}, issn = {1024-5294}, doi = {10.1177/1024529418783579}, author = {Rafi Khan, Shahrukh} } @article {aroyo2018reports, title = {Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing}, journal = {AI Magazine}, volume = {39}, year = {2018}, pages = {57{\textendash}63}, author = {Aroyo, Lora and Dumitrache, Anca and Jeffrey V Nickerson and Lease, Matthew and Michelucci, Pietro} } @conference {2018, title = {Research on the application of artificial intelligence technology in human resource management}, booktitle = {2018 2nd International Conference on Systems, Computing, and Applications2018 2nd International Conference on Systems, Computing, and Applications (SYSTCA 2018)}, year = {2018}, publisher = {Francis Academic Press}, organization = {Francis Academic Press}, doi = {10.25236/systca.18.038} } @article {2018, title = {Researchably{\textquoteright}s AI parsers medical research for pharmaceutical companies}, year = {2018}, month = {10/2018}, url = {https://venturebeat.com/2018/10/02/researchablys-ai-parses-medical-research-for-pharmaceutical-companies/}, author = {Kyle Wiggers} } @conference {2018, title = {Rethinking AI strategy and policy as entangled super wicked problems}, booktitle = {the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES {\textquoteright}18}, year = {2018}, pages = {122 - 122}, publisher = {ACM Press}, organization = {ACM Press}, address = {New Orleans, LA, USANew York, New York, USA}, isbn = {9781450360128}, doi = {10.1145/3278721.3278746}, author = {Gruetzemacher, Ross} } @article {2018, title = {Robot Assisted Surgical Ward Rounds: Virtually Always There}, journal = {Journal of Innovation in Health Informatics}, volume = {25}, year = {2018}, month = {Sep-03-2018}, pages = {041}, issn = {2058-4555}, doi = {10.14236/jhi.v25i1.982}, author = {Stefanie M. Croghan and Paul Carroll and Sarah Reade and Amy E Gillis and Paul F. Ridgway} } @article {2018, title = {Robot companions: A legal and ethical analysis}, journal = {The Information Society}, volume = {34}, year = {2018}, month = {Mar-05-2020}, pages = {130 - 140}, issn = {0197-2243}, doi = {10.1080/01972243.2018.1444249}, author = {Bertolini, Andrea and Aiello, Giuseppe} } @article {2018, title = {Robot revolution: Myth or reality }, journal = {Proceedings of the IEEE}, volume = {106}, year = {2018}, month = {Jan-12-2018}, pages = {2095 - 2097}, issn = {0018-9219}, doi = {10.1109/JPROC.2018.2877520}, author = {Joel Trussell, H.} } @article {2018, title = {Robot vs. tax inspector or how the fourth industrial revolution will change the tax system: a review of problems and solutions}, journal = {Journal of Tax Reform}, volume = {4}, year = {2018}, month = {Jan-01-2018}, pages = {6 - 26}, abstract = {The fourth Industiral Revolution and the accelerated development of cyber-physical technologies lead to essential changes in national tax systems and international taxation. The main areas in which taxation meets cyber-physical technologies are digitization, robotization, M2M and blockchain technologies. Each of these areas has its own opportunities and problems. Three main approaches towards possible solutions for these new problems are identified. The first is to try to apply taxation to new cyber-physical technologies and products of their application. This approach includes the OECD{\textquoteright}s Action 1 plan on Base Erosion and Profit Shifting. It also includes the spread of traditional taxes on new objects - personal data, cryptocurrencies, imputed income of robots. The second is to replace digital transactions and shortfalls in revenues by traditional objects of taxation in the form of tangible assets and people and / or increase tax pressure (including by improving tax administration with use of Big Data) and the degree of progressiveness of taxes already levied on such objects. The third approach is to set a course on building a new tax space with smart taxes based on real-time principles, smart contracts and Big Data. This implies a transition to automatic taxation using blockchain technologies, which focus on the functions of applying distributed ledgers of business transactions in real-time. At present, the general trends are such that the first and second are prevalent, which is manifested in an increase in the relative importance of property, sales and employment taxes. Concerning the third approach, any movement in this direction is still facing a number oftechnical and other problems and is thus being discussed mainly at the conceptual level}, keywords = {blockchain, cyber-physical technologies, digitization, taxes in Big Data, taxes on cryptocurrencies, taxes on digital goods, taxes on robots}, issn = {24128872}, doi = {10.15826/jtr.2018.4.1.042}, url = {https://jtr.urfu.ru/en/archive/journal/95/article/1113/}, author = {Vishnevsky, Valentine P. and Chekina, Viktoriia D.} } @article {2018, title = {Robotic process automation}, journal = {Business \& Information Systems Engineering}, volume = {60}, year = {2018}, month = {Jan-08-2018}, pages = {269 - 272}, issn = {2363-7005}, doi = {10.1007/s12599-018-0542-4}, author = {van der Aalst, Wil M. P. and Bichler, Martin and Heinzl, Armin} } @article {2018, title = {Robotic Process Automation for Auditing}, journal = {Journal of Emerging Technologies in Accounting}, volume = {15}, year = {2018}, month = {Jan-07-2018}, pages = {1 - 10}, issn = {1554-1908}, doi = {10.2308/jeta-10589}, author = {Moffitt, Kevin C. and Rozario, Andrea M. and Vasarhelyi, Miklos A.} } @article {2018, title = {Robots and computers enhance us more than they replace us}, journal = {The American Economist}, year = {2018}, month = {Oct-08-2018}, pages = {056943451879267}, issn = {0569-4345}, doi = {10.1177/0569434518792674}, author = {Diamond, Arthur M.} } @article {2018, title = {Robots and Organization Studies: Why Robots Might Not Want to Steal Your Job}, journal = {Organization Studies}, year = {2018}, month = {04/2018}, pages = {017084061876556}, edition = {2}, abstract = {A number of recent high-profile studies of robotics and artificial intelligence (or AI) in economics and sociology have predicted that many jobs will soon disappear due to automation, with few new ones replacing them. While techno-optimists and techno-pessimists contest whether a jobless future is a positive development or not, this paper points to the elephant in the room. Despite successive waves of computerization (including advanced machine learning), jobs have not disappeared. And probably won{\textquoteright}t in the near future. To explain why, some basic insights from organization studies can make a contribution. I propose the concept of {\textquoteright}bounded automation{\textquoteright} to demonstrate how organizational forces mould the application of technology in the employment sector. If work does not vanish in the age of AI, then poorly paid jobs will most certainly proliferate, I argue. Finally, a case is made for the scholarly community to engage with wider social justice concerns. This I term public organization studies.}, keywords = {artificial intelligence, bounded automation, neoliberalism, public organization studies, Robotics, unemployment, work}, issn = {0170-8406}, doi = {10.1177/0170840618765568}, url = {http://journals.sagepub.com/doi/10.1177/0170840618765568}, author = {Fleming, Peter} } @article {2018, title = { Robots worldwide: The impact of automation on employment and trade}, number = {36}, year = {2018}, month = {10/2018}, keywords = {economics of automation, Employment, off-shoring, re-shoring, robot, technology}, url = {https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_648063.pdf}, author = {Francesco Carnonero and Ekkehard Ernst and Enzo Weber} } @book {2018, title = {The role of technological progress and structural change in the labour market}, year = {2018}, pages = {15 - 41}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, isbn = {978-3-319-90547-1}, issn = {2511-2023}, doi = {10.1007/978-3-319-90548-8_2}, author = {Bosio, Giulio and Cristini, Annalisa}, editor = {Bosio, Giulio and Minola, Tommaso and Origo, Federica and Tomelleri, Stefano} } @article {2017, title = {Rapid Evidence Review: Impact of artificial intelligence, robotics and automation technologies on work}, year = {2017}, institution = {Chartered Institute of Personnel and Development}, address = {London, United Kingdom}, abstract = {The CIPD and Loughborough University{\textquoteright}s report gathers the evidence and insights on emerging technology at work and explores the ethical implications of how we{\textquoteright}re currently adopting new technology. This report creates a foundation for delving deeper into how we can ensure that people remain at the heart of work. The report, Impact of artificial intelligence, robotics and automation technologies on work, focuses on the academic literature published since 2011 and evaluates the state of contemporary knowledge. It focuses on four key questions: What should the technological and occupations focus of the review be? What are the work-related outcomes and mediators from the utilisation of artificial intelligence (AI), robotics and automation technologies (considering both the impact for workers and organisations)? What are the impacts of AI, robotics and automation technologies on professions and society more generally? What are the ethical issues related to the contemporary utilisation of AI, robotics and automation technologies?}, url = {https://www.cipd.co.uk/knowledge/work/technology/artificial-intelligence-workplace-impact}, author = {Donald Hislop and Crispin Coombs and Stanimira Taneva and Sarah Barnard} } @book {2017, title = {Refining the concept of scientific inference when working with big data}, year = {2017}, publisher = {National Academies Press}, organization = {National Academies Press}, address = {Washington, D.C.}, isbn = {978-0-309-45444-5}, doi = {10.17226/24654}, editor = {Wender, Ben A.} } @article {2017, title = {A review and synthesis of the individual work performance literature}, journal = {Academy of Management Annals}, volume = {11}, year = {2017}, month = {Jan-06-2017}, pages = {825 - 885}, issn = {1941-6520}, doi = {10.5465/annals.2015.0151}, author = {Carpini, Joseph A. and Parker, Sharon K. and Griffin, Mark A.} } @article {2017, title = {Revisiting the risk of automation}, journal = {Economics Letters}, volume = {159}, year = {2017}, month = {Jan-10-2017}, pages = {157 - 160}, issn = {01651765}, doi = {10.1016/j.econlet.2017.07.001}, author = {Arntz, Melanie and Gregory, Terry and Zierahn, Ulrich} } @article {2017, title = {The rise of technological unemployment and its implications on the future macroeconomic landscape}, journal = {Futures}, volume = {87}, year = {2017}, month = {Jan-03-2017}, pages = {1 - 9}, issn = {00163287}, doi = {10.1016/j.futures.2017.01.003}, author = {Kim, Young Joon and Kim, Kyungsoo and Lee, SuKyoung} } @conference {2017, title = {Robots, ai, and the question of {\textquoteright}e-persons{\textquoteright}}, booktitle = {Journal of science communication}, year = {2017}, month = {07/2017}, keywords = {bots, Public perception of science and technology, Public understanding of science and technology, Science and policy-making}, url = {http://eprints.whiterose.ac.uk/124830/}, author = {Michael zollosy} } @article {2016, title = {Real-life examples of artificial intelligence}, year = {2016}, month = {07/2016}, url = {https://letzgro.net/blog/real-life-examples-of-artificial-intelligence/} } @article {2016, title = {Regional Diversity in Autonomy and Work: A Case Study from Uber and Lyft Drivers}, year = {2016}, chapter = {Data And Society}, url = {https://datasociety.net/pubs/ia/Rosenblat-Hwang_Regional_Diversity-10-13.pdf}, author = {Alex Rosenblat and Tim Hwang} } @article {2016, title = {The return of the chatbots}, journal = {Natural Language Engineering}, volume = {22}, year = {2016}, month = {Jan-09-2016}, pages = {811 - 817}, issn = {1351-3249}, doi = {10.1017/S1351324916000243}, url = {https://www.cambridge.org/core/product/identifier/S1351324916000243/type/journal_articlehttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1351324916000243}, author = {Robert Dale} } @article {2016, title = {The rise of social bots}, journal = {Communications of the ACM}, volume = {59}, year = {2016}, month = {Dec-06-2017}, pages = {96 - 104}, issn = {00010782}, doi = {10.1145/2818717}, author = {Ferrara, Emilio and Varol, Onur and Davis, Clayton and Menczer, Filippo and Flammini, Alessandro} } @article {2016, title = {Robots and humans {\textendash} complements or substitutes?}, journal = {Journal of Macroeconomics}, volume = {49}, year = {2016}, month = {Jan-09-2016}, pages = {280 - 291}, issn = {01640704}, doi = {10.1016/j.jmacro.2016.08.003}, author = {DeCanio, Stephen J.} } @article {2016, title = {Robots working with humans or humans working with robots?}, journal = {Societies}, volume = {6}, year = {2016}, month = {Jan-09-2016}, pages = {23}, doi = {10.3390/soc6030023}, author = {Moniz, Ant{\'o}nio and Krings, Bettina-Johanna} } @article {2015, title = {Research Priorities for Robust and Beneficial Artificial Intelligence}, journal = {Association for the Advancement of Artificial Intelligence}, volume = {4}, year = {2015}, pages = {105-114}, abstract = {

Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents - systems that perceive and act in some environment. In this context, the criterion for intelligence is related to statistical and economic notions of rationality - colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic representations and statistical learning methods can led to a large degree of integration and crossfertilization between AI, machine learning, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems.

}, url = {https://futureoflife.org/data/documents/research_priorities.pdf}, author = {Stuart Russell and Daniel Dewey and Max Tegmark} } @article {2013, title = {The rise and fall of interdisciplinary research: The case of open source innovation}, journal = {Research Policy}, volume = {42}, year = {2013}, month = {Jan-06-2013}, pages = {1138 - 1151}, issn = {00487333}, doi = {10.1016/j.respol.2013.01.010}, author = {Raasch, Christina and Lee, Viktor and Spaeth, Sebastian and Herstatt, Cornelius} } @article {2009, title = {Redesigning work design theories: The rise of relational and proactive perspectives}, journal = {The Academy of Management Annals}, volume = {3}, year = {2009}, month = {Jan-01-2009}, pages = {317 - 375}, issn = {1941-6520}, doi = {10.1080/19416520903047327}, author = {Grant, Adam M. and Parker, Sharon K.} }