Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Singularity University Live Prediction Markets Simulation & Big Data Quantita...Melanie Swan
Singularity University Live Prediction Markets Workshop & Big Data Quantitative Indicators: Creating the future means being able to understand and operate within multiple areas of rapidly changing technology. We need to know how to harness the many digital tools and indicators at our disposal. Market principles are being deployed on a larger scale in novel ways to rethink traditional institutions and allow unprecedented global-scale collaboration, communication, remuneration, and real-time information flow through prediction markets, cyber-currencies (Bitcoin, etc.), and eLabor marketplaces.
Frameworks are needed to understand the meaning of simultaneous rapid technology change across fields. Eight frameworks are presented grouping technology advances by parameter, identifying overarching principles and concepts, evaluating constituent enablers and investigating how trajectories might intersect.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets (social business intelligence) are in use in 100-200 large organizations for project management and revenue forecasting. Consumer prediction markets are becoming widely used for event prediction (election results, product sales, box office receipts).
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Prediction Markets - Singularity University 2013Melanie Swan
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Singularity University Live Prediction Markets Simulation & Big Data Quantita...Melanie Swan
Singularity University Live Prediction Markets Workshop & Big Data Quantitative Indicators: Creating the future means being able to understand and operate within multiple areas of rapidly changing technology. We need to know how to harness the many digital tools and indicators at our disposal. Market principles are being deployed on a larger scale in novel ways to rethink traditional institutions and allow unprecedented global-scale collaboration, communication, remuneration, and real-time information flow through prediction markets, cyber-currencies (Bitcoin, etc.), and eLabor marketplaces.
Frameworks are needed to understand the meaning of simultaneous rapid technology change across fields. Eight frameworks are presented grouping technology advances by parameter, identifying overarching principles and concepts, evaluating constituent enablers and investigating how trajectories might intersect.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets (social business intelligence) are in use in 100-200 large organizations for project management and revenue forecasting. Consumer prediction markets are becoming widely used for event prediction (election results, product sales, box office receipts).
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
Prediction Markets - Singularity University 2013Melanie Swan
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Information is the principle driver of competitive advantage. How it is collected, analysed and communicated determines our success. No single resource is more critical to organisational survival.
The amount of data in the world is exponentially increasing, to a point where companies capture significant amounts of information about their customers, suppliers, and operations. Millions of networked sensors are being embedded in everything from mobile phones to cars. Social networks and location data from mobile devices will continue to fuel this exponential data growth. These huge data pools are commonly being referred to as "big data".
This talk examines how analytics and big data are exploiting information to drive competitive advantage.
Explore Data: Data Science + VisualizationRoelof Pieters
Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/
Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84
IQPC Enterprise IT Security Exchange, March 10, 2013
This presentation looks at the risks and rewards and security and privacy implications of Big Data Analytics.
In an age where uncertainty seems to be the only certainty, the desire to foresee what lies ahead is a fundamental human instinct. From ancient oracles to modern-day algorithms, humanity has always sought methods to predict the future. Today, the digital era has ushered in a new era of prognostication through prediction sites, harnessing the power of data and machine learning to offer glimpses into tomorrow. But what exactly are prediction sites, and how do they work?
What are Prediction Sites?
Prediction sites are online platforms that utilize various techniques, including statistical analysis, artificial intelligence, and crowdsourcing, to forecast future events across a wide array of domains. These domains can range from sports outcomes and financial markets to geopolitical developments and entertainment industry trends. The core premise behind these sites is to aggregate and analyze relevant data to generate insights that can inform individuals and organizations in making informed decisions.
How Do Prediction Sites Work?
The operation of prediction sites can vary depending on their focus and methodology. However, they typically follow a few common steps:
Data Collection: Prediction sites gather data from diverse sources, including historical trends, current events, expert opinions, and user-generated predictions.
Analysis: Advanced algorithms process the collected data, identifying patterns, correlations, and trends that could indicate future outcomes. Machine learning techniques play a crucial role in refining predictive models over time.
Prediction Generation: Based on the analysis, prediction sites generate forecasts for specific events or phenomena. These predictions are often presented with associated probabilities or confidence levels to indicate the level of certainty.
Feedback Loop: As events unfold, prediction sites continuously update their models based on real-world outcomes. This feedback loop allows the systems to learn from their predictions' successes and failures, improving their accuracy over time.
Applications and Impact
The applications of prediction sites are vast and diverse, impacting various aspects of society and industry:
Financial Markets: Investors and traders utilize prediction sites to gauge market sentiment, forecast asset prices, and identify potential investment opportunities.
Sports Betting: Enthusiasts leverage prediction platforms to make informed bets on sports events, leveraging predictive analytics to increase their chances of success.
Politics and Elections: Prediction sites offer insights into election outcomes, political trends, and public opinion, influencing campaign strategies and voter perceptions.
Business Decision-Making: Companies use prediction sites to anticipate market trends, consumer behavior, and competitive dynamics, aiding strategic planning and risk management.
Healthcare and Science: Predictive modeling contributes to disease surveillance, epidemiological forecasting, dr
Prediction Markets In Project and Program Managementtcarole
A presentation to the Washington, D.C. chapter of the Project Management Institute describing prediction market technology and how it can be used in project and program management.
Social Network Analytics in Education and Research: Lies, Damned Lies and Pre...Jisc
Social Network Analytics in Education and Research: Lies, Damned Lies and Pretty Pictures
This presentation explores the potential and politics of social network analytics in education and research
PLEASE DOWNLOAD THE SLIDES TO GET FULL ACCESS TO THE NOTES
.
Author: Amber Thomas
(c) HEFCE on behalf of JISC www.jisc.ac.uk
Licence: CC BY except slide templates, all logos and images unless otherwise stated
We would prefer you to link to or embed these slides rather than upload them elsewhere, so that we can see what people think of them!
Amber Thomas http://www.jisc.ac.uk/contactus/staff/amberthomas.aspx
AI Health Agents: Longevity as a Service in the Web3 GenAI Quantum RevolutionMelanie Swan
Health Agents are a form of Math Agent as the concept of a personalized AI health advisor delivering “healthcare by app” instead of “sickcare by appointment.” Mobile devices
can check health 1000 times per minute as opposed to the standard one time per year doctor’s office visit, and model virtual patients in the digital twin app. As any AI agent, Health Agents “speak” natural language to humans and formal language to the computational infrastructure, possibly outputting the mathematics of personalized homeostatic health as part of their operation. Health Agents could facilitate the ability of physicians to oversee the health of thousands of individuals at a time. This could ease overstressed healthcare systems and contribute to physician well-being and the situation that (per the World Health Organization) more than half of the global population is still not covered by essential health services.
The computational infrastructure is becoming a vast interconnected fabric of formal methods, including per a major shift from 2d grids to 3d graphs in machine learning architectures
The implication is systems-level digital science at unprecedented scale for discovery in a diverse range of scientific disciplines
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Information is the principle driver of competitive advantage. How it is collected, analysed and communicated determines our success. No single resource is more critical to organisational survival.
The amount of data in the world is exponentially increasing, to a point where companies capture significant amounts of information about their customers, suppliers, and operations. Millions of networked sensors are being embedded in everything from mobile phones to cars. Social networks and location data from mobile devices will continue to fuel this exponential data growth. These huge data pools are commonly being referred to as "big data".
This talk examines how analytics and big data are exploiting information to drive competitive advantage.
Explore Data: Data Science + VisualizationRoelof Pieters
Talk on Data Visualization for Data Scientist at Stockholm NLP Meetup June 2015: http://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/events/222609869/
Video recording at https://www.youtube.com/watch?v=3Li_xIQ1K84
IQPC Enterprise IT Security Exchange, March 10, 2013
This presentation looks at the risks and rewards and security and privacy implications of Big Data Analytics.
In an age where uncertainty seems to be the only certainty, the desire to foresee what lies ahead is a fundamental human instinct. From ancient oracles to modern-day algorithms, humanity has always sought methods to predict the future. Today, the digital era has ushered in a new era of prognostication through prediction sites, harnessing the power of data and machine learning to offer glimpses into tomorrow. But what exactly are prediction sites, and how do they work?
What are Prediction Sites?
Prediction sites are online platforms that utilize various techniques, including statistical analysis, artificial intelligence, and crowdsourcing, to forecast future events across a wide array of domains. These domains can range from sports outcomes and financial markets to geopolitical developments and entertainment industry trends. The core premise behind these sites is to aggregate and analyze relevant data to generate insights that can inform individuals and organizations in making informed decisions.
How Do Prediction Sites Work?
The operation of prediction sites can vary depending on their focus and methodology. However, they typically follow a few common steps:
Data Collection: Prediction sites gather data from diverse sources, including historical trends, current events, expert opinions, and user-generated predictions.
Analysis: Advanced algorithms process the collected data, identifying patterns, correlations, and trends that could indicate future outcomes. Machine learning techniques play a crucial role in refining predictive models over time.
Prediction Generation: Based on the analysis, prediction sites generate forecasts for specific events or phenomena. These predictions are often presented with associated probabilities or confidence levels to indicate the level of certainty.
Feedback Loop: As events unfold, prediction sites continuously update their models based on real-world outcomes. This feedback loop allows the systems to learn from their predictions' successes and failures, improving their accuracy over time.
Applications and Impact
The applications of prediction sites are vast and diverse, impacting various aspects of society and industry:
Financial Markets: Investors and traders utilize prediction sites to gauge market sentiment, forecast asset prices, and identify potential investment opportunities.
Sports Betting: Enthusiasts leverage prediction platforms to make informed bets on sports events, leveraging predictive analytics to increase their chances of success.
Politics and Elections: Prediction sites offer insights into election outcomes, political trends, and public opinion, influencing campaign strategies and voter perceptions.
Business Decision-Making: Companies use prediction sites to anticipate market trends, consumer behavior, and competitive dynamics, aiding strategic planning and risk management.
Healthcare and Science: Predictive modeling contributes to disease surveillance, epidemiological forecasting, dr
Prediction Markets In Project and Program Managementtcarole
A presentation to the Washington, D.C. chapter of the Project Management Institute describing prediction market technology and how it can be used in project and program management.
Social Network Analytics in Education and Research: Lies, Damned Lies and Pre...Jisc
Social Network Analytics in Education and Research: Lies, Damned Lies and Pretty Pictures
This presentation explores the potential and politics of social network analytics in education and research
PLEASE DOWNLOAD THE SLIDES TO GET FULL ACCESS TO THE NOTES
.
Author: Amber Thomas
(c) HEFCE on behalf of JISC www.jisc.ac.uk
Licence: CC BY except slide templates, all logos and images unless otherwise stated
We would prefer you to link to or embed these slides rather than upload them elsewhere, so that we can see what people think of them!
Amber Thomas http://www.jisc.ac.uk/contactus/staff/amberthomas.aspx
AI Health Agents: Longevity as a Service in the Web3 GenAI Quantum RevolutionMelanie Swan
Health Agents are a form of Math Agent as the concept of a personalized AI health advisor delivering “healthcare by app” instead of “sickcare by appointment.” Mobile devices
can check health 1000 times per minute as opposed to the standard one time per year doctor’s office visit, and model virtual patients in the digital twin app. As any AI agent, Health Agents “speak” natural language to humans and formal language to the computational infrastructure, possibly outputting the mathematics of personalized homeostatic health as part of their operation. Health Agents could facilitate the ability of physicians to oversee the health of thousands of individuals at a time. This could ease overstressed healthcare systems and contribute to physician well-being and the situation that (per the World Health Organization) more than half of the global population is still not covered by essential health services.
The computational infrastructure is becoming a vast interconnected fabric of formal methods, including per a major shift from 2d grids to 3d graphs in machine learning architectures
The implication is systems-level digital science at unprecedented scale for discovery in a diverse range of scientific disciplines
We know that we are in an AI take-off, what is new is that we are in a math take-off. A math take-off is using math as a formal language, beyond the human-facing math-as-math use case, for AI to interface with the computational infrastructure. The message of generative AI and LLMs (large language models like GPT) is not that they speak natural language to humans, but that they speak formal languages (programmatic code, mathematics, physics) to the computational infrastructure, implying the ability to create a much larger problem-solving apparatus for humanity-benefitting applications in biology, energy, and space science, however not without risk.
This work introduces “quantum intelligence” as a concept of intelligence for operating in the quantum realm may help in a potential AI-Quantum Computing convergence (~2030e), and towards the realization of SRAI for well-being (economics, health, energy, space). “Scale-free intelligence” is formulated as a generic capacity for learning.
AI did not spring onto the scene with chatGPT, but is in an ongoing multi-year adoption. A transition may be underway from an information society to a knowledge society (one tempered and specifically using knowledge to improve the human condition). AI is a dual-use technology with both significant risk and upleveling possibilities.
SRAI for well-being is a social objective, and also a technological objective. SRAI is part of AI development and within the technological trajectory of harnessing all scales of physical reality ranging from quantum materials to space exploration.
Conceptually, thinking in quantum and relativistic terms expands the physical worldview, and likewise the social worldview of entities inhabiting the larger world. Practically, SRAI may be realized in phases: short-term regulation and registries, medium-term agents learning to implement human values with internal reward functions, and long-term responsible human-AI entities acting in partnership in a future of SRAI for well-being.
The Human-AI Odyssey: Homerian Aspirations towards Non-labor IdentityMelanie Swan
The visionary progression in The Odyssey from shipbuilding to seafaring to advanced civilization informs contemporary tension in the human-AI relation forcing a broader articulation of human-identity beyond labor-identity. Edith Hall analyzes why one of the earliest known literatures, The Odyssey, remains a central cultural trope with numerous references in the storytelling vernacular of all eras, ranging from 1860s British theater to a highly-watched 1990 episode of The Simpsons. The argument is that The Odyssey provides a constant aspirational reference for human identity – who we think we are and where we are going on the epic journey of life, especially at the current crossroad in our relationship with technology.
The contemporary moment finds humanity, and the humanities, experiencing an identity crisis in the relationship with technology. Information science is having an ever more pervasive role in academia, and the machine economy continues to offload vast classes of tasks to labor-saving technology giving rise to two questions. First, at the level of labor-identity, humans wonder who they are as they have long defined their sense of self through their professional participation in the economy. Second, at the level of human-identity, with AI now performing cognitive labor in addition to physical labor, humans wonder if there is anything that remains uniquely human.
The effect of The Odyssey is to provide world-expanding imaginaries to change the way we see ourselves as subjects; in this way, Homer is an early modernist in reconfiguring our self-concept.
This work applies a philosophy (of literature)-aided information science method to discuss how Homer’s Odyssey persists as a literary imaginary to help us think through potential futures of human-AI flourishing as rapid automation continues to impact humanity. The intensity of the human-AI relation is likely to increase, which invites thought leadership to steward the transition to a potential AI abundance economy with fulfilling human-technology collaboration.
The shipbuilding-seafaring-advanced civilization progression in The Odyssey identifies that the human-AI relation is not one of the labor-identity-crisis of “robots stealing our jobs,” but rather one of the more difficult challenge of envisioning who we can be in the new larger world of human-AI partnership addressing a larger set of planetary-scale problems. Towards this new configuration of human-AI relation, the longer-term may hold radically different notions of identity, as we become physical-virtual hybrids, augmented post-disease entities in the health-faring, space-civilizing, energy-marshalling post-scarcity cultures of the future.
AdS Biology and Quantum Information ScienceMelanie Swan
Quantum Information Science is a fast-growing discipline advancing many areas of science such as cryptography, chemistry, finance, space science, and biology. In particular AdS/Biology, an interpretation of the AdS/CFT correspondence in biological systems, is showing promise in new biophysical mathematical models of topology (Chern-Simons (solvable QFT), knotting, and compaction). For example, one model of neurodegenerative disease takes a topological view of protein buildup (AB plaques and tau tangles in Alzheimer’s disease, alpha-synuclein in Parkinson’s disease, TDP-43 in ALS). AdS/Neuroscience methods are implicated in integrating multiscalar systems with different bulk-boundary space-time regimes (e.g. oncology tumors, fMRI + EEG imaging), entanglement (correlation) renormalization across scales (MERA, random tensor networks, melonic diagrams), entropy (possible system states), entanglement entropy (interrelated fluctuations and correlations across system tiers), and non-ergodicity (implied efficiency mechanisms since biology does not cycle through all possible configurations per temperature (thermotaxis), chemotaxis, and energy cues); Maxwell’s demon of biology (partition functions), conservation across system scales (biophysical gauge symmetry (system-wide conserved quantity)), and the presence of codes (DNA, codons, neural codes). A multiscalar AdS/CFT correspondence is mobilized in 4-tier ecosystem models (light-plankton-krill-whale and ion-synapse-neuron-network (AdS/Brain)).
Humanity’s constant project is expanding the range of attainable geography. Melville’s romance of the sea gives way to Kerouac’s romance of the road, and now the romance of space. In expanding into new geographies, markets (commerce) is the driving impulse, entailing a legal and judiciary system to order the new larger continuous marketplace, which brings a bigger overall scope of world under our control, and hence a new idea of who we are as subjects in this bigger domain.
Space Humanism is a concept of humanism based on the principles of inclusion, progress, and equity posited as a condition of possibility for a potential large-scale human movement into space. A philosophy of literature approach is used to contextualize Space Humanism, first through Melville-Foucault to articulate the mind-frame of extra-planetary geographies as one of human expansion, and second through posthuman philosophy extending from Shakespeare’s Renaissance humanism to contemporary enhancement-based theories of subjectivation.
Historical imaginaries outline subjectivation moments that have changed the whole notion who we are as humanity. Four examples are: the concept of the “new world” in Hegel’s philosophy, von Humboldt’s infographic maps, Baudelaire as the Painter of Modern Life, and Keats’s seeing the world in a new way upon reading an updated translation of Homer.
The reach to beyond-Earth geographies is a two-cultures project involving both arts and science. Technical competence is necessary to realize the aspirational, explorational, and survivalist aims of humanity pushing beyond planetary limits. Space was once a fantastic dream that is becoming quotidian with fourteen U.S. spaceports, six completed Blue Origin space tourist missions, and SpaceX having over 155 successful rocket launches including human space flights to and from the International Space Station. The notion of Space Human articulated through Shakespeare, Moby-Dick, and neuroenhancement informs the project of our reach to awaiting beyond-Earth geographies.
Quantum Information Science and Quantum Neuroscience.pptMelanie Swan
Mathematical advance in quantum information science is proceeding quickly and applies to many fields, particularly the complexities of neuroscience (here focusing on image-readable physical behaviors such as neural signaling, as opposed to higher-order operations of cognition, memory, and attention). Quantum mathematical models are extensible to neuroscience problem classes treating dynamical time series, diffusion, and renormalization in multiscalar systems. Approaches first reconstruct wavefunctions observed in EEG and fMRI scans. Second, single-neuron models (Hodgkin-Huxley, integrate-and-fire, theta neurons) and collective neuron models (neural field theories, Kuramoto oscillators) are employed to model empirical data. Third, genome physics is used to study time series sequence prediction in DNA, RNA, and proteins based on 3d+ complex geometry involving fields, curvature, knotting, and information compaction. Finally, quantum neuroscience physics is applied in AdS/Brain modeling, Chern-Simons biology (topological invariance), neuronal gauge theories, network neuroscience, and the chaotic dynamics of bifurcation and bistability (to explain epileptic and resting states). The potential benefit of this work is an improved understanding of disease and pathology resolution in humans.
Quantum information science enables a new tier of scientific problem-solving as exemplified in early-adopter fields, foundational tools in quantum cryptography, quantum machine learning, and quantum chemistry (molecular quantum mechanics), and advanced applications in quantum space science, quantum finance, and quantum biology
Grammatology and Performativity: A Critical Theory of Silence: Silence is a crucial device for subversion, opposition, and socio-political commentary, the theoretical underpinnings of which are just starting to be understood. This work illuminates another position in the growing field of critical silence studies, theorizing silence as an asset whose ontological value has been lost in a world of literal and figurative noise. Part 1 philosophizes silence as a continuation of Derrida’s grammatology project. Such a grammatology of silence valorizes silent thinking over noisy speaking, and identifies the deconstructive binary pairing not as silence-speaking, but rather as silence-noise. Noise has a simultaneous physical-virtual existence as Shannon entropy calculates signal-to-noise ratios in modern communications networks. Part 2 employs the philosophy of noise to assess what is conceptually necessary to overcome noise in a critical theory of silence. Malaspina draws from Simondon to argue that noise is a form of individuation, essentially a living thing with unstoppable growth potential, not defined by a binary on-off switch but as a matter of gradation. Hence different theory resources are required to oppose it. Part 3 then develops a critical theory of silence to oppose noise in both its physical and virtual instantiations, with the two arms of a deeply human positive performativity (Szendy, Bennett) and a beyond-computational posthumanism (Puar). The result is a novel critical theory of silence as positive performativity that destabilizes noise and recoups the ontological status of silence as not merely an empty post-modern reification but a meaningful actuality.
Philosophy-aided Physics at the Boundary of Quantum-Classical Reality The philosophical themes of truth-knowledge and appearance-reality are used to interrogate the contemporary situation of the quantum-classical boundary, and more broadly the quantum-classical-relativistic stratification of physical scale boundaries. The contemporary moment finds us at breakneck pace in the industrial information revolution, digitizing remaining matter-based industries into a seamless exchange between physical-digital reality. Digitized news is giving way to digitized money and perhaps in the farther future, digitized mindfiles (such as personalized connectome files for precision medicine, autologous (own-DNA) stem cell therapies, and CRISPR for Alzheimer’s disease prevention). Our technologies are allowing us control over vast new domains, the relativistic with GPS and space-faring, and the quantum with quantum computing, harnessing the properties of superposition, entanglement, and interference. Philosophy provides critical thinking tools that can help us understand and master these rapid shifts in science and technology to avoid an Adornian instrumental reality (subsuming humanity under societal structures) and to maintain a Heideggerian backgrounded and enabling relation with technology (versus technology enframing us into mindless standing reserve).
The philosophical theme underlying the investigation of the scales of planets, persons, and particles is the relationship between truth and knowledge (or appearance and reality). The truth-knowledge problem is whether knowledge of the truth, true knowledge, the reality under the appearance, is even possible. Three salient moments in the history of the truth-knowledge problem are examined here. These are the German idealism of Kant and Hegel, the deconstructive postmodernism of Foucault and Derrida, and the unclear leanings of the current moment. The German idealism lens incorporates the self-knowing subject as agent into the truth and knowledge problem. The postmodernist view breaks with the subject and emphasizes the hidden opposites in the formulations, the constant reinterpretation of meaning, and porous boundaries. The contemporary moment wonders whether truth-knowledge boundaries still hold, in a Benjaminian view of non-identity between truth and knowledge, and truth increasingly being seen as a Foucauldian biopolitical manufactured quantity. Contemporaneity has a bimodal distribution of the subject: the hyperself (the constantly digitally represented selfie self) and the alienated post-subject subject.
These moments in the truth and knowledge debate inflect into the scale considerations of relativity, classicality, and quantum mechanics. Whereas general relativity and quantum mechanics are domains of universality, totality, and multiplicity, everyday classical reality is squeezed in as a belt between the two multiplicities as the concretion of drawing a triangle or tossing a ball. Recasting truth and k
Comprehensive philosophical programs arise within a historical context (for Hegel and Derrida in the democracy-shaping moments of the French Revolution (1789) and the student-worker protests (1968) in which French politics serve as a global harbinger of contemporary themes). In the Derrida-Hegel relationship, there is more rapprochement concerning core notions of difference, history, and meaning-assignation than may have been realized. In particular, Hegel’s philosophy, despite being assumed to be a totalizing system, in fact indicates precisely some of the same kinds of revised metaphysics-of-presence formulations that Derrida exhorts, namely those that are flexible, expansive, and include non-identity and identity.
A crucial Derrida-Hegel interchange is that of différance and difference. Derrida develops the notion directly from Hegel (“Différance,” “The Pit and the Pyramid”), but only draws from the Encyclopedia, not Hegel’s masterwork, the Phenomenology of Spirit. For Derrida, the “A” in différance is inspired by the form of the pyramid in the capitalized letter and in Hegel’s comparing the sign “to the Egyptian Pyramid” (“Différance,” p. 3). Derrida invokes the symbolism of the pyramid, antiquity, and Egyptian hieroglyphics as an early semiotic system. However, when considering Hegel’s central definition of difference in the dialectical progression of thesis-antithesis-synthesis in the Phenomenology of Spirit (§§159-163), the articulations of différance and difference are remarkably aligned.
Parallel formulations are also seen in history as a series of reinterpretable events, and indexical wrappers as a mechanism for meaning assignation. The thinkers examine the universal and the particular by exploring regulative mechanisms such as law (natural and social). In Glas, Derrida highlights not the singular-universal relation, but the law of singularity and the law of universality relation as being relevant to Hegel’s Antigone interpretation (Glas, p. 142a), a theme continued in “Before the Law.” Finally (time permitting), there is a question whether the most valid critiques of Hegel (Nietzsche’s unreason and Benjamin’s non-synthesis), as alternatives to Hegelian dialectics, are visible in Derrida’s thought.
The upshot is that the two thinkers produce similar formulations, derived from different trajectories of philosophical work; a situation which points to the potential universality of fundamental solution classes to open-ended philosophical problems, including the future of democracy.
Quantum Moreness: Kantian Time and the Performative Economics of Multiplicity
There is no domain with greater moreness than that of the quantum. A philosophy-aided physics approach (postmodernism and Continental philosophy) examines the contemporary situation of quantum moreness (more time and space dimensions than are available classically). Quantum moreness is configured by quantum reality being probabilistic; a multiplicity of outcomes all co-existing in superposition until collapsed in measurement. The quantum mindset uses quantum moreness to solve problems by thinking in terms of the greater scalability afforded in time and space with the quantum properties of superposition, entanglement, and interference. Quantum studies fields proliferate in arts and sciences, raising the Levi-Straussian raw-cooked dilemma of how “traditional humanities” are to be named alongside “digital humanities” and “quantum humanities.” Kant facilitates the conceptualization of quantum moreness by insisting on the dual nature of time as transcendentally ideal and empirically real. Kant’s moreness is allness, the absolute totality and multiplicity of time at the ideal level. Each faculty (sensibility, understanding, reason) has its own species of the a priori synthetic unity of ideal time that precedes and conditions the operation of the faculty. Each faculty also has a concretized formulation of empirically-real time as the time series, which is the basis for the faculties to interoperate to perform the conception of any empirical object. Kant’s achievement of time interoperability has potential extensibility to other areas of temporal incompatibility such as the scales of general relativity, Newtonian mechanics (human-scale), and quantum mechanics. The quantum moreness mindset with which Kant connects the ideal-real is visible in the domain of economics, itself too an ideal-real construction. The quantum moreness of money configures the postmodern abstraction of global cryptocurrencies and smart contract pledges, the implicative hope of which is a post-debt capital world that restores the human esprit in the face of an increasingly intense technologized reality.
Blockchain Crypto Jamming: Subverting the Instrumental Economy
The ultimate subversion is money, refusing the pecuniary resources of the state. This project applies a philosophical and critical theory lens to examine the use of nomenclature in one of the most radical longitudinal transformations in contemporary times, the shift away from state-run monetary resources towards cryptocurrencies and smart contracts in citizen-determined decentralized financial networks.
A Cryptoeconomic Theory of Social Change is presented in which linguistic progression serves as a tracking mechanism. The steps to lasting change have their own vocabulary (Brandom). First, there is the social critique, the complaint about what is wrong, the negative side (Adorno and Horkheimer highlight instrumental reason and the empty culture industry). Second, there is the antidote, an alternative that can overcome the complaint, the positive side. Third, the solution becomes the new reality, and as a consequence, the whole of reality is now seen in this context, adopting its vocabulary (“fiat health” system for example, referring to the antiquated method). The social movement graduates from language game (Wittgenstein) to form of life (Jaeggi).
Blockchains are Occupy with teeth, notable in the level of personal responsibility-taking by individuals to steward their own financial resources. The crypto citizen is not merely trading CryptoKitties and Bored Ape Yacht Club tokens, but getting blocktime loans through DeFi liquidity pools instead of fiat banks, earning labor income in crypto, and shifting all economic activity to blockchain networks. The artworld signals mainstream acceptance with Christie’s non-fungible token digital artwork auctioned from Beeple for $61 million. At the global level, coin communities constitute a new form of Kardashev-level (planetary-scale) democracy. Blockchains emerge as a robust smart network automation technology for super-class projects ranging from space-faring to quantum computing and thought-tokening. The further stakes of this work are having a language-based theory of social change with broad applicability to social transformation.
This work argues that the emerging understanding of time in quantum information science can be articulated as a philosophical theory of change. Change and time are interrelated, and one can be used to interrogate the other, namely, a theory of change can be derived from a theory of time. What is new in quantum science is time being regarded as just another property to be engineered. At the quantum scale, time is reversible in certain ways, which is quite different from the everyday experience of time whose unidirectional arrow does not allow a dropped egg to reassemble. At the quantum scale of atoms, though, a particle retains the history of its trajectory, which may be retraced before collapsed in measurement.
Quantum scientists evolve systems backward and forward in time, controlling phase transitions with Floquet engineering. Quantum systems are entangled in time and space, with temporal correlations exhibiting greater multiplicity than spatial correlations. The chaotic time regimes of ballistic spread followed by saturation are implemented in quantum walks for faster search and heightened cryptosecurity. In quantum neuroscience, seizure may be explained by chaotic dynamics and normal resting state by Floquet-like periodic cycles. Time is revealed to have the same kinds of repeating structures as space (described by entanglement, symmetry, and topology), differently instantiated and controlled.
The quantum understanding of time can be propelled into a macroscale-theory of change through its connotation of a more flexible, malleable, probabilistic interface with reality. Change becomes less rigid. Probability is the lever of change, but notoriously difficult for humans to grasp, as we think better in storylines than statistics. The idea of manipulating quantum system properties in which time, space, dynamics (change), are all just parameters, is an empowering frame for the acceptance of change. The quantum mindset affords greater facility with probability-driven events (change).
Blockchains in Space: Non-Euclidean Spacetime and Tokenized Thinking - Two requirements for the large-scale beyond-terrestrial expansion of human intelligence into the universe are the ability to operate in diverse spatiotemporal regimes and to instantiate thinking in various formats. Newtonian mechanics describe everyday reality, but Einsteinian physics is needed for GPS and the orbital technologies of telescopes and spacecraft. Space agencies already integrate the Earth-day and the slightly-longer Martian-sol. A more substantial move into space requires facility with non-Euclidean spacetimes. One challenge is that general relativity and quantum mechanics are non-interoperable. However, the theories can be formulated together when considering black holes and quantum computing since geometric theories and gauge theories are both field-based. Quantum blockchains instantiate blockchain logic in quantum computational environments. Blockchains have their own temporal regime (blocktime: the number of blocks for an event to occur), and hence quantum blocktime is a non-classical functionality for operating in diverse spatiotemporal regimes. Thinking is a rule-based activity that is unrestricted by medium. Central to thinking is concepts, which are referenced by words. Word-types include universals, particulars, and indexicals which can be encoded into a formal system as thought-tokens, and registered to blockchains. Blockchains are contemplated as an automation technology for asteroid mining and space settlement construction, and thought-tokening adds an intelligence layer. Time and tokenized thinking come together in the idea of smart networks in space. In blockchain quantum smart networks, spatiotemporal regimes and thought-tokens are simply different value types (asset classes) coordinated with blockchain logic, towards the aim of extending human capabilities into the farther reaches of space.
Cryptography, entanglement, and quantum blocktime: Quantum computing offers a more scalable energy-efficient platform than classical computing and supercomputing, and corresponds more naturally to the three-dimensional structure of atomic reality. Blockchains are a decentralized digital economic system made possible by the 24-7 global nature of the internet.
Quantum Neuroscience: CRISPR for Alzheimer’s, Connectomes & Quantum BCIsMelanie Swan
This talk provides an introduction to quantum computing and how it may be deployed to study the human brain and its diseases of pathology and aging. Refined to its present state over centuries, the brain is one of the most complex systems known, with 86 billion neurons and 242 trillion synapses connected in intricate patterns and rewired by synaptic plasticity. Research continues to illuminate the mysteries of the brain. Quantum computing provides a more capacious architecture with greater scalability and energy efficiency than current methods of classical computing and supercomputing, and more naturally corresponds to the three-dimensional structure of atomic reality. The vision for quantum neuroscience is to model the nature of the brain exactly as it is, in three-dimensional atomically-accurate representations. Neuroscience (particularly genetic disease modeling, connectomics, and synaptomics) could be the “killer application” of quantum computing. Implementations in other industries are also important, including in quantum finance, quantum cryptography using Shor’s factoring algorithm (“the Y2K of Crypto”), Grover’s search, quantum chemistry, eigensolvers, quantum machine learning, and continuous-time quantum walks. Quantum computing is a high-profile worldwide scientific endeavor with platforms currently available via cloud services (IBM Q 27-qubit, IonQ 32-qubit, Rigetti 19Q Acorn) and is in the process of being applied in various industries including computational neuroscience.
Art Theory: Two Cultures Synthesis of Art and ScienceMelanie Swan
Thesis: Aesthetic resources contribute broadly to the human endeavor of progress, self-understanding, and science, beyond the immediate experience of art. Aesthetic Resources are frameworks, concepts, and modes of expression in art, literature, and philosophy that capture the imagination and the intellect through the senses. The role of art is to inspire the future: the romance of the sea, the open road, space.
The arts are a hallmark of civilization, but can their benefit be crystallized as aesthetic resources that can be mobilized to new situations? How can aesthetic resources help in moments of crisis?
A worldwide social identity crisis has been provoked by pandemic recovery, politics, equity, and environmental sustainability. Philosophical and aesthetic resources can help. Understanding art as a reflection of who we are as individuals and groups, this talk explores conceptualizations of art, with examples, in different periodizations from the 1800s to the present. A marquis definition as to what constitutes an artwork is Adorno’s, for whom the work must promulgate its own natural law and engage in novel materials manipulation. For many theorists, art is the pressing of our self-concept into concrete materiality (whether pyramids, sculpture, or painting). What do contemporary periodizations of art mean to our current and forward-looking self-concept? Recent eras include the neo-avant-gardes of 1945, the conceptual art of the 1960s, and post-conceptual art starting in the 1970s, produced generatively with found materials, the digital domain, and audience interactivity. What is the now-current idea of art? Is today’s Baudelairian flâneur and Balzacian modern hero incarnated in the quantum aesthetic imaginary and the digital cryptocitizen? Far from an “end of art” thesis sometimes attributed to Hegel, aesthetic practices are more relevant than ever. Individually and societally, we are reinventing creative energy and productive imagination in venues from science, technology, health, and biology to the arts.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Live Prediction Markets Simulation Image: http://wall.alphacoders.com/
Futures & Forecasting - Quantitative Methods
Melanie Swan
SU GPS for the Mind: www.mindtimemaps.com/start/sugp1
SU Prediction Market: gsp12.inklingmarkets.com Founder
MS Futures Group
+1-650-681-9482
@LaBlogga
July 20, 2012 m@melanieswan.com
Slides: http://slideshare.net/LaBlogga www.melanieswan.com
2. Workshop timeline
Quantitative methods introduction 10 min
GPS for the Mind exercise 5 min
Prediction markets lecture 25 min
Estimation exercise 10 min
Live prediction markets workshop 90 min
Prediction Markets
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July 20, 2012
3. About Melanie Swan
Hedge fund manager, futurist, entrepreneur,
founder DIYgenomics
Work experience: Fidelity, JP Morgan, Arthur
Andersen, iPass, RHK/Ovum
Education: MBA Finance, Wharton; BA French/
Economics, Georgetown Univ
Current projects: melanieswan.com
Sample publications
Swan, M. Crowdsourced Health Research Studies: An Important Emerging
Complement to Clinical Trials in the Public Health Research Ecosystem. J Med
Internet Res 2012, Mar;14(2):e46.
Swan, M. Multigenic Condition Risk Assessment in Direct-to-Consumer Genomic
Services. Genet. Med. 2010, May;12(5):279-88.
Swan, M. Translational antiaging research. Rejuvenation Res. 2010,
Feb;13(1):115-7.
Swan, M. Engineering Life into Technology: the Application of Complexity Theory
to a Potential Phase Transition of Intelligence. Symmetry 2010, 2, 150:183.
Swan, M. Emerging patient-driven health care models: an examination of health
social networks, consumer personalized medicine and quantified self-tracking. Int.
J. Environ. Res. Public Health 2009, 2, 492-525.
Prediction Markets Source: http://melanieswan.com/publications.htm
3
July 20, 2012
4. Forecasting and future studies toolkit
Short term (0-5 yrs): Long term (5-20+ yrs):
insight and certainty uncertainty, discontinuity
Forecasting Scenario planning
Scanning Simulation
Business intelligence Frameworks
Trend analysis Wild-carding
Market research Longitudinal studies
Time orientation
Outlier identification
Technology checklist
Multiple time frames
Prediction markets Image: Bill Frymire
Prediction Markets
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5. GPS for the Mind exercise Image: http://www.mindtime.com
Plot time orientation: certainty, possibility, probability
www.mindtimemaps.com/start/sugp1
probability
certainty possibility
Prediction Markets Source: Fortunato, VJ and Furey, JT. The theory of MindTime: The relationships between Future, Past, and Present thinking and
psychological well-being and distress. Personality and Individual Differences. January 2011, 50(1), pp. 20-4. http://www.miindtime.com 5
July 20, 2012
6. Prediction markets definition
Prediction markets are a tool for collecting group opinion
using market principles
• Research has shown that prediction markets can
develop more accurate forecasts than polls or experts1
July 2011
July 2012
Images: http://www.intrade.com
Prediction Markets
1
Source: Trepte, K. et al. Forecasting consumer products using prediction markets. MIT. 2009.
http://dspace.mit.edu/handle/1721.1/53546 6
July 20, 2012
8. History of prediction markets
Image: http://www.bookshift.com
Decision markets, idea futures, information markets,
event derivatives, virtual markets
Long history of event betting
Election betting, sports betting, stock markets
Modern incarnation – last ~15 years
1988 Iowa Electronic Markets ran first market1
2002 US DARPA terrorism futures debacle
Proliferation of enterprise and consumer prediction markets
Testbed for financial contracts
Housing and weather futures, carbon trading, movie futures
Futarchy
Notion of using prediction markets in government policy
Really re-inventing government
Prediction Markets
1
Source: http://www.midasoracle.org/2007/07/17/history-prediction-markets-timeline
8
July 20, 2012
9. Prediction markets - definition
Tool for collecting and aggregating opinion using
market principles
Iowa Electronic Markets:
Price: probability of event 2008 US Democratic Convention Market
occurring
Value: leading indicator,
expose hidden information Clinton
Pay-off: monetary, Obama
reputational, indirect
Accuracy: better than Image: http://upload.wikimedia.org/wikipedia/commons/1/13/IEM_DCON2008.svg
conventional forecasting1
Prediction Markets
1
Source: Arrow, K.J. et al “The Promise of Prediction Markets” Science, 2008, 320, 5878, 877-878
http://www.sciencemag.org/cgi/content/summary/320/5878/877 9
July 20, 2012
10. Prediction market view: Obama in 2012
Blip: May 1, 2011, Osama bin Laden killed
Prediction Markets Source: http://www.intrade.com
10
July 20, 2012
23. Prediction market design
Structure
Event outcome (win/loss)
Market scoring (continuum)
Time frame
Episodic or continuous
Participants
Anonymous users
Participation incentive Image: http://www.consensuspoint.com
Question design:
(the question) What is your opinion?
(the feedback loop) What do you think others will say? How
accurately do you think others will answer?
Calibration round(s)
Prediction Markets
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24. Future of prediction markets
Public prediction markets
Opinion capture as a standard feature
Activity icon cloud: like, +1, tweet, share,
comment, bookmark, register opinion
Two-way XML element
Ubiquitous real-time polling – automatic
alerts for opinion entry per interest profile Image:http://www.tvrage.com/shows/id-23464
Enterprise prediction markets
BOL / ERP / supply chain integration
Sales and CRM integration
Reputation: knowledge acuity ratings of individuals
become a valuable and personally-tradable currency
Accurate predictor, information steward
Prediction Markets
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25. Broader context: markets are the platform
Roles of markets
Types of markets Resource Exchange: Information Value Utility
allocation supply & (price) discovery identification & creation
demand meet attribution
Traditional markets
Prediction markets
Affinity capital
Multicurrency society
Automatic markets
Ideas marketplaces
Scarcity management /
abundance injection (PSE)
Prediction Markets Source: Swan, M. New Banks, New Currencies and New Markets in a Multicurrency World: Roadmap for a Post-Scarcity Economy by
2050, presented at Create Futures IberoAmérica, Enthusiasmo Cultural, São Paolo Brazil, October 14, 2009. 25
July 20, 2012 http://melanieswan.com/documents/economy_20.pdf
26. Resources
Prediction Markets blogs
http://www.midasoracle.org
http://www.ingenesist.com
http://torontopm.wordpress.com
Prediction Market Industry Association
http://www.pmindustry.org
Important papers
Prelec D. A Bayesian truth serum for subjective data. Science.
2004 Oct 15;306(5695):462-6.
Trepte, K. et al. Forecasting consumer products using prediction
markets. MIT. 2009. http://dspace.mit.edu/handle/1721.1/53546
Chang, W. et al. Simulating prediction markets that include
human and automated agents. MIT. 2009. http://dspace.mit.edu/
handle/1721.1/53097
Prediction Markets
26
July 20, 2012
27. Well, Ray, we’re still
waiting for the jet pack
DIAMANDIS KURZWEIL
Futurism 2050
Image: http://wall.alphacoders.com/
Questions?
SU GPS for the Mind: www.mindtimemaps.com/start/sugp1
SU Prediction Market: gsp12.inklingmarkets.com Melanie Swan
Slides: http://slideshare.net/LaBlogga Principal
MS Futures Group
+1-650-681-9482
m@melanieswan.com
Creative Commons 3.0 license www.melanieswan.com