�ݺ�ߣshows by User: JuanMateosGarcia

�ݺ�ߣshows by User: JuanMateosGarcia / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: JuanMateosGarcia / Wed, 16 Mar 2022 12:40:42 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: JuanMateosGarcia Some New Directions in the Economics of AI /slideshow/some-new-directions-in-the-economics-of-ai-251360840/251360840 jmgnewdirections1-220316124042
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.]]>
Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.]]> Wed, 16 Mar 2022 12:40:42 GMT /slideshow/some-new-directions-in-the-economics-of-ai-251360840/251360840 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Some New Directions in the Economics of AI JuanMateosGarcia Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jmgnewdirections1-220316124042-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation about the state of AI, policy-relevant AI research and evidence gaps that can be addressed with new data, methods and modelling approaches.

Some New Directions in the Economics of AI from Juan Mateos-Garcia

]]> 311 0 https://cdn.slidesharecdn.com/ss_thumbnails/jmgnewdirections1-220316124042-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Deep Learning Deep Change NBER conference /slideshow/deep-learning-deep-change-nber-conference/176864042 mateosgarcia27sept2019-190927195903
Geography of AI using arXiv data]]>
Geography of AI using arXiv data]]> Fri, 27 Sep 2019 19:59:03 GMT /slideshow/deep-learning-deep-change-nber-conference/176864042 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Deep Learning Deep Change NBER conference JuanMateosGarcia Geography of AI using arXiv data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mateosgarcia27sept2019-190927195903-thumbnail.jpg?width=120&height=120&fit=bounds" /> Geography of AI using arXiv data

Deep Learning Deep Change NBER conference from Juan Mateos-Garcia

]]> 291 1 https://cdn.slidesharecdn.com/ss_thumbnails/mateosgarcia27sept2019-190927195903-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 D4p complex economics_ai_v2 /slideshow/d4p-complex-economicsaiv2/149153123 d4pcomplexeconomicsaiv2-190610113511
�ݺ�ߣs for paper about the Complex Economics of Artificial Intelligence presented at the Data for Policy Conference, London 11 June 2019. ]]>
�ݺ�ߣs for paper about the Complex Economics of Artificial Intelligence presented at the Data for Policy Conference, London 11 June 2019. ]]> Mon, 10 Jun 2019 11:35:11 GMT /slideshow/d4p-complex-economicsaiv2/149153123 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) D4p complex economics_ai_v2 JuanMateosGarcia �ݺ�ߣs for paper about the Complex Economics of Artificial Intelligence presented at the Data for Policy Conference, London 11 June 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/d4pcomplexeconomicsaiv2-190610113511-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs for paper about the Complex Economics of Artificial Intelligence presented at the Data for Policy Conference, London 11 June 2019.

D4p complex economics_ai_v2 from Juan Mateos-Garcia

]]> 518 2 https://cdn.slidesharecdn.com/ss_thumbnails/d4pcomplexeconomicsaiv2-190610113511-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Introduction to the EMAEE interactive session /slideshow/introduction-to-the-emaee-interactive-session/148904058 emaeeinteractive5june-190605062606
Introductory slides for the EMAEE special session on interactive visualisation, June 5 2019.]]>
Introductory slides for the EMAEE special session on interactive visualisation, June 5 2019.]]> Wed, 05 Jun 2019 06:26:06 GMT /slideshow/introduction-to-the-emaee-interactive-session/148904058 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Introduction to the EMAEE interactive session JuanMateosGarcia Introductory slides for the EMAEE special session on interactive visualisation, June 5 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/emaeeinteractive5june-190605062606-thumbnail.jpg?width=120&height=120&fit=bounds" /> Introductory slides for the EMAEE special session on interactive visualisation, June 5 2019.

Introduction to the EMAEE interactive session from Juan Mateos-Garcia

]]> 209 2 https://cdn.slidesharecdn.com/ss_thumbnails/emaeeinteractive5june-190605062606-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Mapping innovation missions /slideshow/mapping-innovation-missions/148903962 jmgemaeemissions5june2019-190605062337
Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019.]]>
Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019.]]> Wed, 05 Jun 2019 06:23:36 GMT /slideshow/mapping-innovation-missions/148903962 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Mapping innovation missions JuanMateosGarcia Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jmgemaeemissions5june2019-190605062337-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation about new indicators for innovation missions focusing on the mission to transform the prevention, diagnosis and treatment of AI, given at the EMAEE conference, University of Sussex 5 June 2019.

Mapping innovation missions from Juan Mateos-Garcia

]]> 282 2 https://cdn.slidesharecdn.com/ss_thumbnails/jmgemaeemissions5june2019-190605062337-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Deep Learning Deep Change: Mapping the evolution of the Artificial Intelligence GPT /slideshow/deep-learning-deep-change-mapping-the-evolution-of-the-artificial-intelligence-gpt/123193172 dldc-181116162736
Presentation of a working paper that uses data science methods to analyse the geography and drivers of Deep Learning Research. https://arxiv.org/abs/1808.06355]]>
Presentation of a working paper that uses data science methods to analyse the geography and drivers of Deep Learning Research. https://arxiv.org/abs/1808.06355]]> Fri, 16 Nov 2018 16:27:36 GMT /slideshow/deep-learning-deep-change-mapping-the-evolution-of-the-artificial-intelligence-gpt/123193172 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Deep Learning Deep Change: Mapping the evolution of the Artificial Intelligence GPT JuanMateosGarcia Presentation of a working paper that uses data science methods to analyse the geography and drivers of Deep Learning Research. https://arxiv.org/abs/1808.06355 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dldc-181116162736-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of a working paper that uses data science methods to analyse the geography and drivers of Deep Learning Research. https://arxiv.org/abs/1808.06355

Deep Learning Deep Change: Mapping the evolution of the Artificial Intelligence GPT from Juan Mateos-Garcia

]]> 408 3 https://cdn.slidesharecdn.com/ss_thumbnails/dldc-181116162736-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 New ways of seeing (innovation) /slideshow/new-ways-of-seeing-innovation/104578828 1400juanmateos-garcia-newwaysofseeinginnovation-180706184619
Presentation at FutureFest, 6 July 2018]]>
Presentation at FutureFest, 6 July 2018]]> Fri, 06 Jul 2018 18:46:19 GMT /slideshow/new-ways-of-seeing-innovation/104578828 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) New ways of seeing (innovation) JuanMateosGarcia Presentation at FutureFest, 6 July 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/1400juanmateos-garcia-newwaysofseeinginnovation-180706184619-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation at FutureFest, 6 July 2018

New ways of seeing (innovation) from Juan Mateos-Garcia

]]> 270 4 https://cdn.slidesharecdn.com/ss_thumbnails/1400juanmateos-garcia-newwaysofseeinginnovation-180706184619-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Deep Learning, Deep Change? /slideshow/deep-learning-deep-change/87050646 deeplearningemergence1-180201155316
Established fields and industries tend to cluster geographically, and the question of to what extent these can be disrupted has a long history of research. We take a modern look at this question, by analysing the effect of the emergence of the deep-learning paradigm in the broader domain of machine learning research.]]>
Established fields and industries tend to cluster geographically, and the question of to what extent these can be disrupted has a long history of research. We take a modern look at this question, by analysing the effect of the emergence of the deep-learning paradigm in the broader domain of machine learning research.]]> Thu, 01 Feb 2018 15:53:15 GMT /slideshow/deep-learning-deep-change/87050646 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Deep Learning, Deep Change? JuanMateosGarcia Established fields and industries tend to cluster geographically, and the question of to what extent these can be disrupted has a long history of research. We take a modern look at this question, by analysing the effect of the emergence of the deep-learning paradigm in the broader domain of machine learning research. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningemergence1-180201155316-thumbnail.jpg?width=120&height=120&fit=bounds" /> Established fields and industries tend to cluster geographically, and the question of to what extent these can be disrupted has a long history of research. We take a modern look at this question, by analysing the effect of the emergence of the deep-learning paradigm in the broader domain of machine learning research.

Deep Learning, Deep Change? from Juan Mateos-Garcia

]]> 729 4 https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningemergence1-180201155316-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Making an algorithmic economy work /slideshow/making-an-algorithmic-economy-work/83492172 jmgwbskin6thdecember-171206142358
This presentation outlines the drivers of an algorithmic economy, the people who work on it and its challenges. I pay special attention to the risks of algorithmic error and safety, and the human supervisors in charge of managing it. ]]>
This presentation outlines the drivers of an algorithmic economy, the people who work on it and its challenges. I pay special attention to the risks of algorithmic error and safety, and the human supervisors in charge of managing it. ]]> Wed, 06 Dec 2017 14:23:58 GMT /slideshow/making-an-algorithmic-economy-work/83492172 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Making an algorithmic economy work JuanMateosGarcia This presentation outlines the drivers of an algorithmic economy, the people who work on it and its challenges. I pay special attention to the risks of algorithmic error and safety, and the human supervisors in charge of managing it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jmgwbskin6thdecember-171206142358-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation outlines the drivers of an algorithmic economy, the people who work on it and its challenges. I pay special attention to the risks of algorithmic error and safety, and the human supervisors in charge of managing it.

Making an algorithmic economy work from Juan Mateos-Garcia

]]> 252 2 https://cdn.slidesharecdn.com/ss_thumbnails/jmgwbskin6thdecember-171206142358-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 To Err is Algorithm: Algorithmic Fallibility and Economic Organisation /slideshow/to-err-is-algorithm-algorithmic-fallibility-and-economic-organisation/79548861 mateosgarciad4p6sept2017-170908062832
�ݺ�ߣs for paper presented at Data for Policy Conference September 2017. Abstract Algorithmic decision-making systems based on artificial intelligence and machine learning are enabling unprecedented levels of personalisation, recommendation and matching. Unfortunately, these systems are fallible, and their failures have costs. I develop a formal model of algorithmic decision-making and its supervision to explore the trade- offs between more (algorithm-facilitated) beneficial deci- sions and more (algorithm-caused) costly errors. The model highlights the importance of algorithm accuracy and human supervision in high-stakes environments where the costs of error are high, and shows how decreasing returns to scale in algorithmic accuracy, increasing incentives to ’game’ popular algorithms, and cost inflation in human supervision might constrain optimal levels of algorithmic decision-making. ]]>
�ݺ�ߣs for paper presented at Data for Policy Conference September 2017. Abstract Algorithmic decision-making systems based on artificial intelligence and machine learning are enabling unprecedented levels of personalisation, recommendation and matching. Unfortunately, these systems are fallible, and their failures have costs. I develop a formal model of algorithmic decision-making and its supervision to explore the trade- offs between more (algorithm-facilitated) beneficial deci- sions and more (algorithm-caused) costly errors. The model highlights the importance of algorithm accuracy and human supervision in high-stakes environments where the costs of error are high, and shows how decreasing returns to scale in algorithmic accuracy, increasing incentives to ’game’ popular algorithms, and cost inflation in human supervision might constrain optimal levels of algorithmic decision-making. ]]> Fri, 08 Sep 2017 06:28:32 GMT /slideshow/to-err-is-algorithm-algorithmic-fallibility-and-economic-organisation/79548861 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) To Err is Algorithm: Algorithmic Fallibility and Economic Organisation JuanMateosGarcia �ݺ�ߣs for paper presented at Data for Policy Conference September 2017. Abstract Algorithmic decision-making systems based on artificial intelligence and machine learning are enabling unprecedented levels of personalisation, recommendation and matching. Unfortunately, these systems are fallible, and their failures have costs. I develop a formal model of algorithmic decision-making and its supervision to explore the trade- offs between more (algorithm-facilitated) beneficial deci- sions and more (algorithm-caused) costly errors. The model highlights the importance of algorithm accuracy and human supervision in high-stakes environments where the costs of error are high, and shows how decreasing returns to scale in algorithmic accuracy, increasing incentives to ’game’ popular algorithms, and cost inflation in human supervision might constrain optimal levels of algorithmic decision-making. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mateosgarciad4p6sept2017-170908062832-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs for paper presented at Data for Policy Conference September 2017. Abstract Algorithmic decision-making systems based on artificial intelligence and machine learning are enabling unprecedented levels of personalisation, recommendation and matching. Unfortunately, these systems are fallible, and their failures have costs. I develop a formal model of algorithmic decision-making and its supervision to explore the trade- offs between more (algorithm-facilitated) beneficial deci- sions and more (algorithm-caused) costly errors. The model highlights the importance of algorithm accuracy and human supervision in high-stakes environments where the costs of error are high, and shows how decreasing returns to scale in algorithmic accuracy, increasing incentives to ’game’ popular algorithms, and cost inflation in human supervision might constrain optimal levels of algorithmic decision-making.

To Err is Algorithm: Algorithmic Fallibility and Economic Organisation from Juan Mateos-Garcia

]]> 263 2 https://cdn.slidesharecdn.com/ss_thumbnails/mateosgarciad4p6sept2017-170908062832-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Complex places for complex times an analysis of the complexity of local economies in the uk /slideshow/complex-places-for-complex-times-an-analysis-of-the-complexity-of-local-economies-in-the-uk/69119080 complexplacesforcomplextimesananalysisofthecomplexityoflocaleconomiesintheuk-161116215606
�ݺ�ߣs for presentation at University of Birmingham City REDI Seminar.]]>
�ݺ�ߣs for presentation at University of Birmingham City REDI Seminar.]]> Wed, 16 Nov 2016 21:56:06 GMT /slideshow/complex-places-for-complex-times-an-analysis-of-the-complexity-of-local-economies-in-the-uk/69119080 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Complex places for complex times an analysis of the complexity of local economies in the uk JuanMateosGarcia �ݺ�ߣs for presentation at University of Birmingham City REDI Seminar. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/complexplacesforcomplextimesananalysisofthecomplexityoflocaleconomiesintheuk-161116215606-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs for presentation at University of Birmingham City REDI Seminar.

Complex places for complex times an analysis of the complexity of local economies in the uk from Juan Mateos-Garcia

]]> 330 5 https://cdn.slidesharecdn.com/ss_thumbnails/complexplacesforcomplextimesananalysisofthecomplexityoflocaleconomiesintheuk-161116215606-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 New Data for Innovation Policy /slideshow/new-data-for-innovation-policy/66205183 oecdblueskieshbjmgpresentationdone-160920094027
Presentation about new data, methods and outputs to create knowledge for innovation policy. Presented at the OECD Blue Sky Conference, 20 September 2016.]]>
Presentation about new data, methods and outputs to create knowledge for innovation policy. Presented at the OECD Blue Sky Conference, 20 September 2016.]]> Tue, 20 Sep 2016 09:40:27 GMT /slideshow/new-data-for-innovation-policy/66205183 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) New Data for Innovation Policy JuanMateosGarcia Presentation about new data, methods and outputs to create knowledge for innovation policy. Presented at the OECD Blue Sky Conference, 20 September 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oecdblueskieshbjmgpresentationdone-160920094027-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation about new data, methods and outputs to create knowledge for innovation policy. Presented at the OECD Blue Sky Conference, 20 September 2016.

New Data for Innovation Policy from Juan Mateos-Garcia

]]> 448 5 https://cdn.slidesharecdn.com/ss_thumbnails/oecdblueskieshbjmgpresentationdone-160920094027-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Arloesiadur: An analytics experiment in innovation policy /JuanMateosGarcia/arloesiadur-an-analytics-experiment-in-innovation-policy cambridgedatapresentation-160916095933
Presentation about Nesta's big data analytics work (Cambridge Data for Policy conference).]]>
Presentation about Nesta's big data analytics work (Cambridge Data for Policy conference).]]> Fri, 16 Sep 2016 09:59:33 GMT /JuanMateosGarcia/arloesiadur-an-analytics-experiment-in-innovation-policy JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Arloesiadur: An analytics experiment in innovation policy JuanMateosGarcia Presentation about Nesta's big data analytics work (Cambridge Data for Policy conference). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cambridgedatapresentation-160916095933-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation about Nesta's big data analytics work (Cambridge Data for Policy conference).

Arloesiadur: An analytics experiment in innovation policy from Juan Mateos-Garcia

]]> 664 2 https://cdn.slidesharecdn.com/ss_thumbnails/cambridgedatapresentation-160916095933-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 New data for innovation policy SPRU 50th presentation /slideshow/new-data-for-innovation-policy-spru-50th-presentation/65821794 newdataforinnovationpolicyjmg-2-160908124148
An overview of opportunities using new data and analytics methods for innovation policy.]]>
An overview of opportunities using new data and analytics methods for innovation policy.]]> Thu, 08 Sep 2016 12:41:48 GMT /slideshow/new-data-for-innovation-policy-spru-50th-presentation/65821794 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) New data for innovation policy SPRU 50th presentation JuanMateosGarcia An overview of opportunities using new data and analytics methods for innovation policy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/newdataforinnovationpolicyjmg-2-160908124148-thumbnail.jpg?width=120&height=120&fit=bounds" /> An overview of opportunities using new data and analytics methods for innovation policy.

New data for innovation policy SPRU 50th presentation from Juan Mateos-Garcia

]]> 362 5 https://cdn.slidesharecdn.com/ss_thumbnails/newdataforinnovationpolicyjmg-2-160908124148-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Looking under the hood of Tech Nation 2016: process, findings & lessons /slideshow/looking-under-the-hood-of-tech-nation-2016-process-findings-lessons/59905013 technation2016atreadie-160322214354
Overview of the Tech Nation 2016 project, presented at READIE conference March 2016.]]>
Overview of the Tech Nation 2016 project, presented at READIE conference March 2016.]]> Tue, 22 Mar 2016 21:43:54 GMT /slideshow/looking-under-the-hood-of-tech-nation-2016-process-findings-lessons/59905013 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Looking under the hood of Tech Nation 2016: process, findings & lessons JuanMateosGarcia Overview of the Tech Nation 2016 project, presented at READIE conference March 2016. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/technation2016atreadie-160322214354-thumbnail.jpg?width=120&height=120&fit=bounds" /> Overview of the Tech Nation 2016 project, presented at READIE conference March 2016.

Looking under the hood of Tech Nation 2016: process, findings & lessons from Juan Mateos-Garcia

]]> 291 5 https://cdn.slidesharecdn.com/ss_thumbnails/technation2016atreadie-160322214354-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Digital econ policy data presentation for readie 18mar2016 /slideshow/digital-econ-policy-data-presentation-for-readie-18mar2016/59833204 digitaleconpolicydatapresentationforreadie18mar2016-160321162443
New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges.]]>
New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges.]]> Mon, 21 Mar 2016 16:24:43 GMT /slideshow/digital-econ-policy-data-presentation-for-readie-18mar2016/59833204 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Digital econ policy data presentation for readie 18mar2016 JuanMateosGarcia New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/digitaleconpolicydatapresentationforreadie18mar2016-160321162443-thumbnail.jpg?width=120&height=120&fit=bounds" /> New types of data - big data, open data, mashed up data - can help us understand the digital economy in new, policy-relevant ways. Here are some examples and challenges.

Digital econ policy data presentation for readie 18mar2016 from Juan Mateos-Garcia

]]> 684 5 https://cdn.slidesharecdn.com/ss_thumbnails/digitaleconpolicydatapresentationforreadie18mar2016-160321162443-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 A map of the UK games industry /slideshow/a-map-of-the-uk-games-industry/39747645 games-launch-pres25sep2014-141001065105-phpapp01
A presentation of the approach and findings in our games mapping report, where we used big data sources in order to measure and map the UK video games industry.]]>
A presentation of the approach and findings in our games mapping report, where we used big data sources in order to measure and map the UK video games industry.]]> Wed, 01 Oct 2014 06:51:05 GMT /slideshow/a-map-of-the-uk-games-industry/39747645 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) A map of the UK games industry JuanMateosGarcia A presentation of the approach and findings in our games mapping report, where we used big data sources in order to measure and map the UK video games industry. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/games-launch-pres25sep2014-141001065105-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> A presentation of the approach and findings in our games mapping report, where we used big data sources in order to measure and map the UK video games industry.

A map of the UK games industry from Juan Mateos-Garcia

]]> 1588 5 https://cdn.slidesharecdn.com/ss_thumbnails/games-launch-pres25sep2014-141001065105-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 The profile of the management (data) scientist: Potential scenarios and skills for B/SMD-based Management research /slideshow/the-profile-of-the-management-data-scientist-potential-scenarios-and-skills-for-bsmdbased-management-research/38877817 bampresentation9sep2014jmg-140909104028-phpapp02
Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers.]]>
Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers.]]> Tue, 09 Sep 2014 10:40:28 GMT /slideshow/the-profile-of-the-management-data-scientist-potential-scenarios-and-skills-for-bsmdbased-management-research/38877817 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) The profile of the management (data) scientist: Potential scenarios and skills for B/SMD-based Management research JuanMateosGarcia Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bampresentation9sep2014jmg-140909104028-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Big and Social Media data opens up new scenarios and opportunities for management research (such as using internal communication data to map knowledge networks inside firms, or using web data to study firm capabilities and strategies). This presentation, given at the British Academy of Management 2014 conference proposes a typology of such scenarios, describes the skills required to exploit them, and considers implications for the education and training of management researchers.

The profile of the management (data) scientist: Potential scenarios and skills for B/SMD-based Management research from Juan Mateos-Garcia

]]> 792 3 https://cdn.slidesharecdn.com/ss_thumbnails/bampresentation9sep2014jmg-140909104028-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Model workers 9th july2014 /slideshow/model-workers-9th-july2014/36790737 model-workers9thjuly2014-140709081812-phpapp02
]]>
]]> Wed, 09 Jul 2014 08:18:12 GMT /slideshow/model-workers-9th-july2014/36790737 JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Model workers 9th july2014 JuanMateosGarcia <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/model-workers9thjuly2014-140709081812-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Model workers 9th july2014 from Juan Mateos-Garcia

]]> 1913 4 https://cdn.slidesharecdn.com/ss_thumbnails/model-workers9thjuly2014-140709081812-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Innovate 2013 Datavores presentation /JuanMateosGarcia/innovate-or-die-presentation-slideshare innovateordiepresentationslideshare-130314064109-phpapp02
Presentation on 'Rise of the Datavores' at the Innovate UK conference, 13 March 2013.]]>
Presentation on 'Rise of the Datavores' at the Innovate UK conference, 13 March 2013.]]> Thu, 14 Mar 2013 06:41:09 GMT /JuanMateosGarcia/innovate-or-die-presentation-slideshare JuanMateosGarcia@slideshare.net(JuanMateosGarcia) Innovate 2013 Datavores presentation JuanMateosGarcia Presentation on 'Rise of the Datavores' at the Innovate UK conference, 13 March 2013. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/innovateordiepresentationslideshare-130314064109-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation on 'Rise of the Datavores' at the Innovate UK conference, 13 March 2013.

Innovate 2013 Datavores presentation from Juan Mateos-Garcia

]]> 271 3 https://cdn.slidesharecdn.com/ss_thumbnails/innovateordiepresentationslideshare-130314064109-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-JuanMateosGarcia-48x48.jpg?cb=1647434240 I am the Head of Innovation Mapping in Policy and Research. I use data science methods/machine learning/AI methods and tools to improve innovation policy and practice. I am interested in how new technologies and industries emerge and develop, how ideas spread across networks, and on the policies and systems through which, as a society, we can manage this process of change for the benefit of all. Technically, I am interested in the potential of machine learning and network science as tools to understand the economy, and of reproducibility as a way of building trust around new data sources and methods, making them more suitable for policy application. I use Python and R. GitHub: https:... www.nesta.org.uk https://cdn.slidesharecdn.com/ss_thumbnails/jmgnewdirections1-220316124042-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/some-new-directions-in-the-economics-of-ai-251360840/251360840 Some New Directions in... https://cdn.slidesharecdn.com/ss_thumbnails/mateosgarcia27sept2019-190927195903-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/deep-learning-deep-change-nber-conference/176864042 Deep Learning Deep Cha... https://cdn.slidesharecdn.com/ss_thumbnails/d4pcomplexeconomicsaiv2-190610113511-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/d4p-complex-economicsaiv2/149153123 D4p complex economics_...