Computing has profoundly changed modern society by changing how people communicate, work, and spend leisure time. Social computing focuses on both the social influence of computers and new types of computation performed by large groups of agents exchanging information in networks. This lecture emphasizes the technological aspects of social computing and its relationship to general models of computing as information processing. Keywords include actors and agent networks, social computing, and info-computationalism.
In the last decade, workplaces have started to evolve towards digitalisation. In the future people will work in digitally connected environments where personalisation is enabled, collaboration is improved and data sharing and information management are automated. Ultimately, these future workplaces will provide context-aware artificial intelligence (AI) and decision support that leverage both localised information and broader community knowledge whenever needed.
Networks, swarms and policy: what collective intelligence means for policy ma...Alberto Cottica
Policy makers are taking up network thinking; citizens are self-organizing in smart swarms displaying collectivley intelligent behaviour. I address the implications of these phenomena for policy making, and look at some tools being built by a project called CATALYST that might help both citizens and policy makers.
2012.03 social neuroscience for investigating social interaction in entrepris...Thierry Nabeth
Paper associated to the presentation at the:
The 5th International Doctoral Consortium on Intellectual Capital Management
May 30, 2012
Organised by
The European Chair On Intellectual Capital Management
Faculté Jean Monnet, University Paris-Sud,
54 Bd Desgranges , 92330 Sceaux
Note:
As of now, the proposed experimentations are just suggested ideas.
OntoSOC: S ociocultural K nowledge O ntology IJwest
This paper
present
s
a
sociocultural knowledge ontology (OntoSOC) modeling appro
a
ch. Ont
o-
SOC modeling appro
a
ch is based on Engeström‟s
Human Activity Theory (HAT)
.
That Theory allowed us
to identify fundamental concepts and rel
a
tionshi
ps between them. The top
-
down precess has been used to
d
efine differents sub
-
concepts. The
modeled vocabulary permits us to organise data, to facilitate in
form
a-
tion retrieval
by introducing a semantic layer in social web platform architec
ture,
we project t
o impl
e
ment.
This platform can be considered as a «
collective me
mory
»
and Participative and Distributed Info
r
mation
System
(PDIS) which will allow Cameroonian communities to share an co
-
construct knowledge on perm
a-
nent organi
z
ed activ
i
ties.
The social networks and the new social order between the individualized socia...INFOGAIN PUBLICATION
The new Social Networks (SN) evolved very quickly. They conquered of wide population as well in the cities as in the campaigns. They pushed aside values, attitudes, behavior…; In countries with strong social culture, they modified these values and modified the social rules formerly considered as unchanging.In this paper, an empirical study concerned the case of the Moroccans and their behavior with regard to the social networks in numerous domains as those of society, economy, consumption, social and societal relationships, information and communication, politics, etc. The traditional conventional social order is today in deep transformation. This paper contributes to the understanding of behavior change currently facing Moroccan society at all levels.The designers of software or applications bound to the social networks have to integrate these new behavior in their strategies.
In the last decade, workplaces have started to evolve towards digitalisation. In the future people will work in digitally connected environments where personalisation is enabled, collaboration is improved and data sharing and information management are automated. Ultimately, these future workplaces will provide context-aware artificial intelligence (AI) and decision support that leverage both localised information and broader community knowledge whenever needed.
Networks, swarms and policy: what collective intelligence means for policy ma...Alberto Cottica
Policy makers are taking up network thinking; citizens are self-organizing in smart swarms displaying collectivley intelligent behaviour. I address the implications of these phenomena for policy making, and look at some tools being built by a project called CATALYST that might help both citizens and policy makers.
2012.03 social neuroscience for investigating social interaction in entrepris...Thierry Nabeth
Paper associated to the presentation at the:
The 5th International Doctoral Consortium on Intellectual Capital Management
May 30, 2012
Organised by
The European Chair On Intellectual Capital Management
Faculté Jean Monnet, University Paris-Sud,
54 Bd Desgranges , 92330 Sceaux
Note:
As of now, the proposed experimentations are just suggested ideas.
OntoSOC: S ociocultural K nowledge O ntology IJwest
This paper
present
s
a
sociocultural knowledge ontology (OntoSOC) modeling appro
a
ch. Ont
o-
SOC modeling appro
a
ch is based on Engeström‟s
Human Activity Theory (HAT)
.
That Theory allowed us
to identify fundamental concepts and rel
a
tionshi
ps between them. The top
-
down precess has been used to
d
efine differents sub
-
concepts. The
modeled vocabulary permits us to organise data, to facilitate in
form
a-
tion retrieval
by introducing a semantic layer in social web platform architec
ture,
we project t
o impl
e
ment.
This platform can be considered as a «
collective me
mory
»
and Participative and Distributed Info
r
mation
System
(PDIS) which will allow Cameroonian communities to share an co
-
construct knowledge on perm
a-
nent organi
z
ed activ
i
ties.
The social networks and the new social order between the individualized socia...INFOGAIN PUBLICATION
The new Social Networks (SN) evolved very quickly. They conquered of wide population as well in the cities as in the campaigns. They pushed aside values, attitudes, behavior…; In countries with strong social culture, they modified these values and modified the social rules formerly considered as unchanging.In this paper, an empirical study concerned the case of the Moroccans and their behavior with regard to the social networks in numerous domains as those of society, economy, consumption, social and societal relationships, information and communication, politics, etc. The traditional conventional social order is today in deep transformation. This paper contributes to the understanding of behavior change currently facing Moroccan society at all levels.The designers of software or applications bound to the social networks have to integrate these new behavior in their strategies.
Orientation of IT towards Human Being - the Paradigm (2016)Research Impulses
At the beginning of our Age of Information, the 21th century, the influence of IT (Information Technology) got so important that all parts of human live and society where involved. Especially Media Industry started a great hype which is not finished till now. Mobile Media have got a really up to date part of especially young society.
On the level of serious science it has been up to date to use the word Information in all reports and publishing papers. A lot of semantics have been used and some scientists (Prof. FLEISSNER, Prof HOFKIRCHNER, Prof. CAPURRO and the author) tried to abstract this word to a constant scientific term. So for first time the author tried a worldwide unifying definition of the terms Information and Data. It’s importance is documented by the topic “Information Scientific Axioms”.
In second part – based on it – Clues for generally evidence of Information are written down. They are a set of informationscientific terms - excerpted out of real nature and society. The way of Information between Object and Subject or involving Human Being in big and complex machine systems (aeroplanes, ships and industrial productions) made it necessary to think additionally about the general usage of Information. As a useful result many relationships to other sciences are possible. They bring the benefit to be unifying and scientifically worldwide structuring.
As next research object general forms of actual Information are investigated.
As final result for future the author asks: „How can we make Information – in all forms – more positive and precious for Human Being? “. This is a new, scientific topic for the future of IT and human society.
We are in an exciting new era of scientific discovery with a greatly expanded range of possibilities due to big data, computation, and crowd participation
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
The conventional use of technology at an administrative level constitutes much more than its usage as
an engineered object. Factual evidence of this was established through a study conducted at LSE, to
analyze how the ultimate outcome of technology in practice is largely determined by the interactions
that technology has with its users coming from different institutionalized environments. To do so, the
popular technical deterministic approach is extended, by adopting a socio-political lens aimed at
understanding “technology in practice”. The social constructivist and the structurational stance, put
together, highlight the delicate intricacies that take place during the recursive interaction between the
user and technology, which shapes technology into a socially politicized object.
Smart Data - How you and I will exploit Big Data for personalized digital hea...Amit Sheth
Amit Sheth's keynote at IEEE BigData 2014, Oct 29, 2014.
Abstract from:
http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is personalized digital health that related to taking better decisions about our health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (e.g., information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will describe Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If my child is an asthma patient, for all the data relevant to my child with the four V-challenges, what I care about is simply, “How is her current health, and what are the risk of having an asthma attack in her current situation (now and today), especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP. I will motivate the need for a synergistic combination of techniques similar to the close interworking of the top brain and the bottom brain in the cognitive models.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city.
Orientation of IT towards Human Being - the Paradigm (2016)Research Impulses
At the beginning of our Age of Information, the 21th century, the influence of IT (Information Technology) got so important that all parts of human live and society where involved. Especially Media Industry started a great hype which is not finished till now. Mobile Media have got a really up to date part of especially young society.
On the level of serious science it has been up to date to use the word Information in all reports and publishing papers. A lot of semantics have been used and some scientists (Prof. FLEISSNER, Prof HOFKIRCHNER, Prof. CAPURRO and the author) tried to abstract this word to a constant scientific term. So for first time the author tried a worldwide unifying definition of the terms Information and Data. It’s importance is documented by the topic “Information Scientific Axioms”.
In second part – based on it – Clues for generally evidence of Information are written down. They are a set of informationscientific terms - excerpted out of real nature and society. The way of Information between Object and Subject or involving Human Being in big and complex machine systems (aeroplanes, ships and industrial productions) made it necessary to think additionally about the general usage of Information. As a useful result many relationships to other sciences are possible. They bring the benefit to be unifying and scientifically worldwide structuring.
As next research object general forms of actual Information are investigated.
As final result for future the author asks: „How can we make Information – in all forms – more positive and precious for Human Being? “. This is a new, scientific topic for the future of IT and human society.
We are in an exciting new era of scientific discovery with a greatly expanded range of possibilities due to big data, computation, and crowd participation
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
A Perspective on Graph Theory and Network ScienceMarko Rodriguez
The graph/network domain has been driven by the creativity of numerous individuals from disparate areas of the academic and the commercial sector. Examples of contributing academic disciplines include mathematics, physics, sociology, and computer science. Given the interdisciplinary nature of the domain, it is difficult for any single individual to objectively realize and speak about the space as a whole. Any presentation of the ideas is ultimately biased by the formal training and expertise of the individual. For this reason, I will simply present on the domain from my perspective---from my personal experiences. More specifically, from my perspective biased by cognitive and computer science.
This is an autobiographical lecture on my life (so far) with graphs/networks.
The conventional use of technology at an administrative level constitutes much more than its usage as
an engineered object. Factual evidence of this was established through a study conducted at LSE, to
analyze how the ultimate outcome of technology in practice is largely determined by the interactions
that technology has with its users coming from different institutionalized environments. To do so, the
popular technical deterministic approach is extended, by adopting a socio-political lens aimed at
understanding “technology in practice”. The social constructivist and the structurational stance, put
together, highlight the delicate intricacies that take place during the recursive interaction between the
user and technology, which shapes technology into a socially politicized object.
Smart Data - How you and I will exploit Big Data for personalized digital hea...Amit Sheth
Amit Sheth's keynote at IEEE BigData 2014, Oct 29, 2014.
Abstract from:
http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is personalized digital health that related to taking better decisions about our health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (e.g., information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will describe Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If my child is an asthma patient, for all the data relevant to my child with the four V-challenges, what I care about is simply, “How is her current health, and what are the risk of having an asthma attack in her current situation (now and today), especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP. I will motivate the need for a synergistic combination of techniques similar to the close interworking of the top brain and the bottom brain in the cognitive models.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city.
Konica Minolta - Artificial Intelligence White PaperEyal Benedek
The evolution of artificial intelligence in the workplace
Since the first appearance of the words “artificial intelligence” more than 60 years ago, our imaginations have been sparked. Imagine creating computers that simulate human intelligence.
AI has the potential to profoundly influence our lives, perhaps to the point when our world can be better understood and even predicted. In workplaces we can develop systems through which AI may evolve. And Konica Minolta is progressing with the concept of intelligent hubs which will provide businesses with insight, support and greater collaboration.
By combining our core technologies with transformative solutions in the digital workplace, we’re evolving to become a problem-solving digital company creating new value for people and society.
Physical Cyber Social Computing: An early 21st century approach to Computing ...Amit Sheth
Keynote given at WiMS 2013 Conference, June 12-14 2013, Madrid, Spain. http://aida.ii.uam.es/wims13/keynotes.php
Video of this talk at: http://videolectures.net/wims2013_sheth_physical_cyber_social_computing/
More information at: More at: http://wiki.knoesis.org/index.php/PCS
and http://knoesis.org/projects/ssw/
Replacing earlier versions: http://www.slideshare.net/apsheth/physical-cyber-social-computing & http://www.slideshare.net/apsheth/semantics-empowered-physicalcybersocial-systems-for-earthcube
Abstract: The proper role of technology to improve human experience has been discussed by visionaries and scientists from the early days of computing and electronic communication. Technology now plays an increasingly important role in facilitating and improving personal and social activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that an intelligent human seeks to do. I have used the term Computing for Human Experience (CHE) [1] to capture this essential role of technology in a human centric vision. CHE emphasizes the unobtrusive, supportive and assistive role of technology in improving human experience, so that technology “takes into account the human world and allows computers themselves to disappear in the background” (Mark Weiser [2]).
In this talk, I will portray physical-cyber-social (PCS) computing that takes ideas from, and goes significantly beyond, the current progress in cyber-physical systems, socio-technical systems and cyber-social systems to support CHE [3]. I will exemplify future PCS application scenarios in healthcare and traffic management that are supported by (a) a deeper and richer semantic interdependence and interplay between sensors and devices at physical layers, (b) rich technology mediated social interactions, and (c) the gathering and application of collective intelligence characterized by massive and contextually relevant background knowledge and advanced reasoning in order to bridge machine and human perceptions. I will share an example of PCS computing using semantic perception [4], which converts low-level, heterogeneous, multimodal and contextually relevant data into high-level abstractions that can provide insights and assist humans in making complex decisions. The key proposition is to explain that PCS computing will need to move away from traditional data processing to multi-tier computation along data-information-knowledge-wisdom dimension that supports reasoning to convert data into abstractions that humans are adept at using.
[1] A. Sheth, Computing for Human Experience
[2] M. Weiser, The Computer for 21st Century
[3] A. Sheth, Semantics empowered Cyber-Physical-Social Systems
[4] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions
AI WORLD: I-World: EIS Global Innovation Platform: BIG Knowledge World vs. BI...Azamat Abdoullaev
Future World Projects
Global Intelligence Platform
Smart World
Smart Nation
Smart Cities Global Initiative
Smart Superpower Projects
Big Data and Big Knowledge, etc.
ABSTRACT : Computational social science (CSS) is an academic discipline that combines the traditional social sciences with computer science. While social scientists provide research questions, data sources, and acquisition methods, computer scientists contribute mathematical models and computational tools. CSS uses computationally methods and statistical tools to analyze and model social phenomena, social structures, and human social behavior. The purpose of this paper is to provide a brief introduction to computational social science.
Key Words: computational social science, social-computational systems, social simulation models, agent-based models
"'Tis true. There's magic in the Web: The Short and the Long of Co-Creation, Web Science, and Data Driven Innovation". Keynote for the DATA-DRIVEN INNOVATION WORKSHOP 2016 collocated with ACM Web Science 2016, Hannover, Germany, Sunday 22 May 2016
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
Keynote talk at the Web Science Summer School, Singapore, 8 December 2014. Today we see the rise of Social Machines, like Twitter, Wikipedia and Galaxy Zoo—where communities identify and solve their own problems, harnessing commitment, local knowledge and embedded skills, without having to rely on experts or governments.
The Social Machines paradigm provides a lens onto the interacting sociotechnical systems of our hybrid digital-physical world, citizen-centric and at scale—emphasising empowerment and sociality in a world of pervasive technology adoption and automation.
This talk will present the Social Machines paradigm as an approach to social media analytics and a rethinking of our scholarly practices and knowledge infrastructure.
The crisis of political participation in the digital age. Study case: SpainJosé Nafría
Presentation held by José María Díaz Nafría in the Workshop "Rationale und irrationale Diskurse im Zeitalter der Digitalisierung", organised by the Instituts für Design Science, Hochschule für Technik und Wirtschaft Berlin, Leibniz-Sozietät Berlin, 21 Sep 2017.
A Journey Through Philosophy - Seminar at the HMJosé Nafría
Presentation of the lectures held within the seminar "A Journey Through Philosophy. What do you really know when you get information?", held at HM, WS2019-20
Presentación del curso epistemología de las organizacionesJosé Nafría
Presentación del curso de Epistemología de las organizaciones perteneciente a la Maestría de Gestión de PYMES de la Universidad Estatal Península de Santa Elena (Ecuador), celebrado el verano de 2016
Información entre redes y sistemas de conocimientoJosé Nafría
Ponencia impartida en la Universidad Estatal Península de Santa Elena, el 1 de agosto de 2016 dirigida a estudiantes de tecnologías de la información y las comunicaciones.
El nuevo horizonte de las telecomunicaciones ecuatorianas en el contexto geo-...José Nafría
Se pone en perspectiva histórica la solución que la ley de telecomuniciones ecuatoriana ofrece frente a la dinámica de fuerzas geopolíticas que se configura desde mediados del siglo XX. Se incluye un somero análisis comparativo del proyecto de ley orgánica de telecomunicaciones del Ecuador con las leyes de la región.
Marcelo J - Presentación - Un tejido productivo para todosJosé Nafría
Presentación en el curso internacional de verano: "Redes sociales: globalización y desigualdad (un enfoque interdisciplinar)", León, 19-21 de septiembre 2014
J.M. DÍAZ NAFRÍA: Información y complejidad en estudios medioambientalesJosé Nafría
Presentación del seminario sobre "Información y complejidad" impartido en la FLACSO, Quito, el 7 de julio de 2014, por J.M. Díaz Nafría, dentro del programa de Ecología política
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Francesca Gottschalk - How can education support child empowerment.pptx
Gordana Dodig-Crnkovic: Participating and Anticipating. Actors and Agents Networks. Social Networks
1. Participating and
Anticipating
Actors and Agent Networks.
Social Computing
Gordana Dodig Crnkovic
Professor of Computer Science
Mälardalen University,
School of Innovation, Design and
Engineering
gordana.dodig-crnkovic@mdh.se
Social Networks: from communication to solidarity (an interdisciplinary approach)
Fundación Sierra-Pambley, León (Spain)
León, September 13-15
3. Abstract
Computing have changed modern society in very profound ways – our
means of communication with other people, our everyday habits,
entertainment, work, transportation, schools, hospitals, … computing is
becoming omnipresent, and essential for human society. As participants in
this major technological and cultural change, we want to be able to
understand ongoing processes and anticipate future possibilities. That is the
goal of social computing. Moreover, computing as a method provides means
for this study. There are two different approaches to social computing –
from the social side, focusing on the important influence of computers on
society and from the computational side – focusing on new type of
computation that is performed by huge groups of agents (actors) exchanging
information in networks. This lecture puts emphasis on technological
aspects of social computing and its relation to general models of computing
as information processing.
Keywords: Actors and Agent Networks. Social Computing. Info-computationalism. Information and
computation.
p. 3
10. 10
Classical sciences
as information & knowledge networks
Culture
6
Natural sciences
(Physics,
Chemistry,
Biology, …)
2
Social sciences
(Economy,
Sociology,
Antropology, …)
3
Humanities
(Philosophy, History, …)
4
Logic &
Mathematics
1
Knowledge as
Wissenschaft
5
11. 11
Computing as Lingua Franca
Culture
6
Natural sciences
(Physics,
Chemistry,
Biology, …)
2
Social sciences
(Economy,
Sociology,
Antropology, …)
3
Humanities
(Philosophy, History, …)
4
Logic &
Mathematics
1
Knowledge as
Wissenschaft
5
C
O
M
PU
TIN
G
12. 12
We are part of a
“COGNITIVE
REVOLUTION”
And it is important
to understand how
processes of
information
exchange and
knowledge
generation function.
Information – Knowledge Networks
http://2prowriting.files.wordpress.com/2012/11/trends-in-cognitive-sciences-december-201
13. 13
Knowledge generated by individuals
is shared in groups and society
Bilden från: http://www.alexeikurakin.org
15. Networks of networks of information
and knowledge – show complexity
Computational study of complex
systems: generative models
They answer the question: How does
the complexity arize?
Evolution is the most well known
generative mechanism for
generating increasingly complex
systems (organisms).
p. 15
In a complex system, what we see is dependent on where we are and what sort of
interaction is used to study the system.
http://www.morphwize.com/company/index.php?option=com_k2&view=itemlist&task=tag&tag=complex+system+solution
16. Info-computational framework: connecting
informational structures and processes
from quantum physics
to living organisms and societies
● Nature is described as a complex informational structure
for a cognizing agent.
● Computation is information dynamics (information
processing) constrained and governed by the laws of
physics on the fundamental level.
● Information is the difference in one information structure
that makes a difference in another information structure.
● p. 16
17. Computing Nature
The basic idea of computing nature is that all processes taking place
in physical world can be described as computational processes – from
the world of quantum mechanics to living organisms, their societies
and ecologies. Emphasis is on regularities and typical behaviors.
Even though we all have our subjective reasons why we move and
how we do that, from the bird-eye-view movements of inhabitants in
a city show big regularities.
In order to understand big picture and behavior of societies, we take
computational approach based on data and information.
See the work of Albert-László Barabási who studies networks on
different scales:
http://www.barabasilab.com/pubs-talks.php
18. Computation as Information
Processing
Info-computational approach takes information as the primary stuff of
the universe, and computation is as time-dependent behavior
(dynamics) of information.
This results in a Dual-aspect Universe: informational structure with
computational dynamics. (Info-Computationalism, Dodig Crnkovic)
Information and computation are closely related – no computation
without information, and no information without dynamics
(computation).
19. Cognition as computation. Information
networks at the basis of cognition
Biophysics of Computation: Information Processing in Single Neurons
Christof Koch, 1999. http://www.klab.caltech.edu/~koch/biophysics-book/
100 billions of neurons connected
with tiny "wires" in total longer more
than two times the earth
circumference. This intricate and
apparently messy neural circuit that
is responsible for our cognition and
behavior.
http://www.istc.cnr.it/group/locen
21. Cognition as Computation
Information/computation mechanisms are
fundamental for evolution of intelligent agents. Their
role is to adapt the physical structure and behavior
that will increase organisms chances of survival, or
otherwise induce some other behavior that might be
a preference of an agent.
In this pragmatic framework, meaning in general is
use, which is also the case with meaning of
information.
http://www.worldhealth.net/news/
hormone-therapy-helps-improve-cognition
http://www.ritholtz.com/blog/wp-content/uploads/
2012/04/my-brain-hurts.png
22. Agent-based Models
An agent-based model (ABM) is a computational model for simulating the
actions and interactions of autonomous individuals in a network, with a view
to assessing their effects on the system as a whole.
It combines elements of game theory, complex systems, emergence,
computational sociology, multi agent systems, and evolutionary
programming.
Monte Carlo Methods are used to introduce randomness.
The basic of ABMs the study of complexity and emergence.
http://www.youtube.com/watch?v=2C2h-vfdYxQ&feature=related Composite
Agents (5.06)
http://en.wikipedia.org/wiki/Agent-based_model
p. 22
23. Even though computers were invented in order to
automatize calculations [Hilbert program (1920); Turing
Machine (1936)], after a while the importance of the
computer as a communication device was recognized,
with its important consequent shared knowledge and
community-building (Licklider and Taylor 1968).
Licklider, J.C.R. and Taylor R. W. (1968) The computer as a communication
device. Science and Technology (September), 20-41.
Agent based modeling with
applications
to social computing.
Computer as a communication device
p. 23
24. There are two different approaches to social computing,
(Wang et al. 2007), centered on its two different aspects :
computing mechanisms and principles and
human aspects of social computing (critical theory)
Approaches to social computing
p. 24
25. Social computing with the focus on social is a phenomenon
which enables extended social cognition,
while the Social computing with the focus on computing is
about computational modelling and it is a new paradigm of
computing.
From information communication to
social intelligence
p. 25
26. The main tools in this field are simulation techniques used in
order to facilitate the study of society and to support
decision-making policies, helping to analyze how changing
policies affect social, political, and cultural behavior (Epstein,
2007).
Epstein, J. M. (2007). Generative Social Science: Studies in Agent-Based
Computational Modeling. Princeton University.
Simulation
p. 26
27. Social computing is radically changing the character of human
relationships worldwide (Riedl, 2011). Instead of maximum
150 connections prior to ICT, (Dunbar, 1998), social
computing easily leads to networks of several hundred of
contacts.
Dunbar R. (1998) Grooming, Gossip, and the Evolution of Language, Harvard
Univ. Press
Emergence of social computing
p. 27
It remains to understand what type of society will emerge
from such massive “long-range” distributed interactions
instead of traditional fewer and deeper short-range ones.
Riedl J. (2011) "The Promise and Peril of Social Computing," Computer, vol.44,
no.1, pp.93-95
28. In this process, information overload on individuals is steadily
increasing, and social computing technologies are moving
beyond simple social information communication toward
social intelligence, (Zhang et al. 2011) (Lim et al. 2008) (Wang
et al. 2007), which brings an additional level of complexity.
Towards social intelligence
p. 28
Of special interest is the agent-based social simulation (ABSS)
as a generative computational approach to social simulation
defined by the interactions of autonomous agents whose
actions determine the evolution of the system, as applied in
artificial life, artificial societies, computational sociology,
dynamic network analysis, models of markets, swarming
(including swarm robotics).
29. As Gilbert (2005) points out, novelty of agent based models
(ABMs) “offers the possibility of creating ‘artificial’ societies in
which individuals and collective actors such as organizations
could be directly represented and the effect of their
interactions observed.
From information communication to
social intelligence
p. 29
30. This provided for the first time the possibility of using
experimental methods with social phenomena, or at least
with their computer representations; of directly studying the
emergence of social institutions from individual interaction.”
Gilbert N: (2005) Agent-based social simulation: dealing with complexity,
http://www.complexityscience.org/NoE/ABSS-dealing%20with
%20complexity-1–1.pdf
The emergence of social institutions
from individual interaction
p. 30
31. An agent-based model (ABM) is a computational model
for simulating the actions and interactions of autonomous
individuals in a network, with a view to assessing their
effects on the system as a whole. It combines elements of
game theory, complex systems, emergence, computational
sociology, multi agent systems, and evolutionary
programming.
Agent-based models
p. 31
ABMs are very useful computational instruments but they
should not be taken as “reality” even though simulations
with their realistic graphical representations suggest their
being “real”. Process of modeling and simulation is complex
and many simplifications and assumptions must be made
which always must be justified for each application.
32. ABMs in general are used to model complex, dynamical
adaptive systems. The interesting aspect in ABMs is the
micro-macro link (agent-society). Multi-Agent Systems (MAS)
models may be used for any number (in general
heterogeneous) entities spatially separated by the
environment which can be modeled explicitly.
Agent-based models
p. 32
Interactions are in general asynchronous which adds to the
realism of simulation.
Social computing represents a new computing paradigm
which is one sort of the natural computing, often inspired by
biological systems (e.g. swarms).
33. Socio-technological networks as agent-
based model
http://www.nature.com/nphys/journal/v8/n1/full/nphys2160.html
Modelling dynamical processes in complex socio-technical systems
Delegation & distribution
More on agent-based models
http://www.youtube.com/watch?v=pgUT4F8mskQ
Agent Based Model: Information Flows on Networks #1
http://www.youtube.com/watch?v=E_-9hFzmxkw Pandemic
influenza computer model
http://www.youtube.com/watch?v=2C2h-
vfdYxQ&feature=related Composite Agents (5.06)
34. The cross-disciplinary field of Social computing has two main
aspects:
●Social and
●Computational
One focus is on social side of social software or social web
applications such as blogs, wikis, social bookmarking, instant
messaging, and social networking sites. Social computing
often uses crowdsourcing method.
Social computing: social
cognition, social networks, social
intelligence
and multiagent systems
34
35. ● Crowdsourcing is, according to the Merriam-Webster
Dictionary, the practice of obtaining needed services, ideas,
or content by obtaining contributions from a large group of
people, and especially from an online community, rather
than from traditional employees or suppliers.
● Tools such as prediction markets, social tagging, reputation
and trust systems as well as recommender systems are
based on crowdsourcing.
Crowdsourcing
35
36. ● Another focus of social computing is on computational
modeling of social behavior, among others through Multi-
agent systems (MAS) and Social Networks (SN).
● There are several usages of Multi-agent systems: to design
distributed and/or hybrid systems; to develop philosophical
theory; to understand concrete social facts, or to answer
concrete social issues via modelling and simulation.
Computational modelling of
social behavior
36
37. ● Multi-agent systems are used for modelling, among other
things, cognitive or reactive agents who interact in dynamic
environments where they possibly depend on each other
to achieve their goals.
● The emphasis is nowadays on constructing complex
computational systems composed by agents which are
regulated by various types of norms, and behave like
human social systems.
Multi-agent systems for
modelling of social behavior
37
38. ● Social networks (SN) are social structures made of nodes
(which are, generally, individuals or organizations) that are
tied by one or more specific types of interdependency,
such as values, visions, ideas, financial exchange, friends,
kinship, dislike, conflict, trade, web links, disease
transmission, etc.
Social Networks
38
39. ● Social networks analysis plays an important role in
studying the way specific problems are solved,
organizations are run, and the degree to which individuals
succeed in achieving their goals.
● Social networks analysis has addressed also the dynamics
issue, called dynamic networks analysis. This is an
emergent research field that brings together traditional
social network analysis, link analysis and multi-agent
systems.
Social Networks
39
40. Brier Søren - Cybersemiotics and the question of knowledge
Burgin Mark - Information Dynamics in a Categorical Setting
Chaitin Greg - Leibniz, Complexity & Incompleteness
Collier John - Information, Causation and Computation
Cooper Barry - From Descartes to Turing: The computational Content of Supervenience
Dodig Crnkovic Gordana and Mueller Vincent - A Dialogue Concerning Two Possible World
Systems
Hofkirchner Wolfgang - Does Computing Embrace Self-Organisation?
Kreinovich Vladik & Araiza Roberto - Analysis of Information and Computation in Physics
Explains Cognitive Paradigms: from Full Cognition to Laplace Determinism to Statistical
Determinism to Modern Approach
p. 40
INFORMATION AND COMPUTATION
World Scientific Publishing Co. Series in Information Studies, 2011
Gordana Dodig-Crnkovic and Mark Burgin
41. MacLennan Bruce J. - Bodies — Both Informed and Transformed
Menant Christophe - Computation on Information, Meaning and Representations. An
Evolutionary Approach
Mestdagh C.N.J. de Vey & Hoepman J.H. - Inconsistent information as a natural phenomenon
Minsky Marvin - Interior Grounding, Reflection, and Self-Consciousness
Riofrio Walter - Insights into the biological computing
Roglic Darko- Super-recursive features of natural evolvability processes and the models for
computational evolution
Shagrir Oron - A Sketch of a Modeling View of Computing
Sloman Aaron- What's information, for an organism or intelligent machine? How can a machine
or organism mean?
Zenil Hector & Delahaye Jean-Paul - On the algorithmic nature of the world
p. 41
INFORMATION AND COMPUTATION
World Scientific Publishing Co. Series in Information Studies, 2011
Gordana Dodig-Crnkovic and Mark Burgin
43. Computation, Information, Cognition
Editor(s): Gordana Dodig Crnkovic and Susan
Stuart, Cambridge Scholars Publishing, 2007
Computating Nature
p. 43
Information and Computation
Editor(s): Gordana Dodig Crnkovic and
Mark Burgin, World Scientific, 2011
Computing Nature
Editor(s): Gordana Dodig Crnkovic and
Raffaela Giovagnoli, Springer, 2013
http://dx.doi.org/10.1007/978-3-642-37225-4
44. Based on the following articles
● Dodig-Crnkovic G., Dynamics of Information as Natural Computation, Information 2011,
2(3), 460-477; doi:10.3390/info2030460 Special issue: Selected Papers from FIS 2010
Beijing Conference, 2011.
http://www.mdpi.com/journal/information/special_issues/selectedpap_beijing
http://www.mdpi.com/2078-2489/2/3/460/ See also:
http://livingbooksaboutlife.org/books/Energy_Connections
● Dodig-Crnkovic, G.; Rotolo, A.; Sartor, G.; Simon, J. and Smith C. (Editors)
Social Computing, Social Cognition. Social Network and Multiagent Systems. Social Turn
- SNAMAS 2012
AISB/IACAP World Congress 2012. Birmingham, UK, 2-6 July
2012http://events.cs.bham.ac.uk/turing12/proceedings/11.pdf , 2012.
● Dodig-Crnkovic G., Large-Scale Use of Robots and Meeting Risks with Learning Socio-
Technical Organization, IEEE ARSO 2012, Workshop on Advanced Robotics and its Social
Inpacts 21-23 May 2012 at Techniche Universität München, Germany
p. 44