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Articles 1 - 30 of 1519

Full-Text Articles in Science and Technology Studies

Data And Identity: Notes Toward A Theology Of The Digitally Enhanced Self, Michael J. Paulus Jr. Oct 2019

Data And Identity: Notes Toward A Theology Of The Digitally Enhanced Self, Michael J. Paulus Jr.

Michael J. Paulus, Jr.

In the HBO-BBC miniseries "Years and Years," a teenager named Bethany (!) comes out as transhuman and tells her parents she wants to “live forever as information ... [to] be data!” As information about us increasingly takes the form of digital data, we are all of us becoming data. Indeed, so much of our attention and agency is engaged with digital information in digital environments that the philosopher Luciano Floridi describes us as “inforgs” living “onlife” in an “infosphere.” Through nearly constant and ubiquitous patterns of digital interactions with human and artificial agents, we are creating digitally extended and enhanced selves. But ...


Technology And Hope, Michael J. Paulus Jr. Oct 2019

Technology And Hope, Michael J. Paulus Jr.

Michael J. Paulus, Jr.

In our present moment of profound and rapid technological change, the clash of utopian hopes with dystopian fears is a matter of daily experience. The Demaray Tower on SPU’s campus points to a greater hope for technology. Beneath the clock on the south side, images of technology situated within the human journey through history and life suggest that human artificial creations may participate in God’s new creation. This session will explore how we can think critically about the transformative role of technology in education and our broader lives as we cultivate and realize faith for the future.

Presented ...


Animal Pain And The Social Role Of Science, Leslie Irvine Sep 2019

Animal Pain And The Social Role Of Science, Leslie Irvine

Leslie Irvine, PhD

Assuming that all animals are sentient would mean ending their use in most scientific research. This does not necessarily imply an unscientific or anti-scientific stance. Examining the social role of science reveals its considerable investment in preserving the status quo, including the continued use of animal subjects. From this perspective, the use of animal subjects is a custom that science could move beyond, rather than a methodological requirement that it must defend.


Application Of Problem Based Learning And Mastery Learning To Multimedia Education, Gabriel J. Grant, Dominick E. Fazarro, Luke Steinke Aug 2019

Application Of Problem Based Learning And Mastery Learning To Multimedia Education, Gabriel J. Grant, Dominick E. Fazarro, Luke Steinke

Luke Steinke

The current state of education and the workforce demands a special kind of learner capable of creativity, communicating effectively, analytical skill application, critical thinking, and problem solving. Whereas these skills are important, it is also a necessity for learners to be masters of the knowledge and skills that they have acquired. Traditional educational methods have proven to be somewhat ineffective in producing these results. Problem based learning has proven worthy in handling some of the load, however, mastery learning has been abandoned long ago for reasons in spite of its effectiveness. Through given examples and careful design, the educator will ...


Artificial Intelligence And The Apocalyptic Imagination: The Ends Of Divine, Natural, And Artificial Agency, Michael J. Paulus Jr. Jul 2019

Artificial Intelligence And The Apocalyptic Imagination: The Ends Of Divine, Natural, And Artificial Agency, Michael J. Paulus Jr.

Michael J. Paulus, Jr.

New information and communication technologies (ICTs) are reshaping our lives and the environments in which we live to such an extent that philosopher Luciano Floridi claims we are living through an information revolution. ICTs are changing our self-understanding, how we relate to each other, and how we understand our role in the world. At the center of this revolution is the advent of auto­mated information processing and intelligent systems.

These technologies of artificial intelligence (AI) raise questions about data collection, algorithmic agency, and the future of every dimension of life. They also inspire a range of hopes and fears ...


Cubelos, G., Valenzuela, B., Kularathna, S., Iliopoulos, N., Quiroz, M., Yavar, R., Henríquez, P., Bacigalupe, G., Onuki, M., Mikami, T., Cienfuegos, R., Aranguiz, R., & Esteban, M. (2019, June 26). Assessing Tsunami Awareness In Remote Coastal Towns In Northern Chile Through Community Mapping., Gonzalo Bacigalupe Jun 2019

Cubelos, G., Valenzuela, B., Kularathna, S., Iliopoulos, N., Quiroz, M., Yavar, R., Henríquez, P., Bacigalupe, G., Onuki, M., Mikami, T., Cienfuegos, R., Aranguiz, R., & Esteban, M. (2019, June 26). Assessing Tsunami Awareness In Remote Coastal Towns In Northern Chile Through Community Mapping., Gonzalo Bacigalupe

Gonzalo Bacigalupe, EdD, MPH

In 2015 and 2017 unusual ocean and atmospheric conditions produced many years’ worth of rainfall in short periods over Northern Chile’s Atacama Desert, resulting in catastrophic flooding in the town of Chañaral. However, the town is not only at risk of fluvial flooding, it is also at risk of tsunamis. Through a community mapping exercise, the authors attempted to establish the level of community awareness about tsunamis, and contrasted it with that of other types of water-related hazards facing the town (namely that of flooding due to high intensity rain). This was then compared with the results of field ...


A Question Of Trust: Can We Build An Evidence Base To Gain Trust In Systematic Review Automation Technologies?, Annette M. O'Connor, Guy Tsafnat, James Thomas, Paul Glasziou, Stephen B. Gilbert, Brian Hutton Jun 2019

A Question Of Trust: Can We Build An Evidence Base To Gain Trust In Systematic Review Automation Technologies?, Annette M. O'Connor, Guy Tsafnat, James Thomas, Paul Glasziou, Stephen B. Gilbert, Brian Hutton

Stephen B. Gilbert

Background Although many aspects of systematic reviews use computational tools, systematic reviewers have been reluctant to adopt machine learning tools.

Discussion We discuss that the potential reason for the slow adoption of machine learning tools into systematic reviews is multifactorial. We focus on the current absence of trust in automation and set-up challenges as major barriers to adoption. It is important that reviews produced using automation tools are considered non-inferior or superior to current practice. However, this standard will likely not be sufficient to lead to widespread adoption. As with many technologies, it is important that reviewers see “others” in ...


Shayna T. Blum: Design Research, Shayna Blum May 2019

Shayna T. Blum: Design Research, Shayna Blum

Shayna Blum

No abstract provided.


The Age Of The Library, Michael J. Paulus Jr. May 2019

The Age Of The Library, Michael J. Paulus Jr.

Michael J. Paulus, Jr.

In 2018, the Seattle Pacific University Library launched a minor in Information Studies. This multidisciplinary program explores the dynamic relationships between information, technology, and people and how our lives are changing in our emerging information and technological environment. Why would a library create such a program, and what does it reveal about the present and future role of the library?


Difference Between Current High-Speed Connectivity-4g And Coming High-Speed Connectivity-5g May 2019

Difference Between Current High-Speed Connectivity-4g And Coming High-Speed Connectivity-5g

Smith johnson

It is said that be it good, bad or indifferent if a company is not investing in new technology, it is going to be left behind. Every once in a while a new technology, an old problem, and great ideas would turn altogether into innovation and so is 5G. The new trend in tech industries, be it telecom industry or software industry speed is the key factor that is demanded by the users. This is the reason for industries trying persistently to make it even faster. With every technology empowerment that is seen in the world, society is becoming more ...


Myth Or Fact: Is Open Source Software More Secure Than Closed Source Software?, Daniel Saffioti, Gene Awyzio, Robert B. K. Brown Apr 2019

Myth Or Fact: Is Open Source Software More Secure Than Closed Source Software?, Daniel Saffioti, Gene Awyzio, Robert B. K. Brown

Associate Professor Daniel F. Saffioti

This paper examines one aspect of quality that organizations look for when selecting software, namely security. Studies over time have indicated that security; scalability, interoperability and flexibility are important however the major issue has always been support. This has led to the sometimes inflexible concept of Standard Operating Environments (SOEs) within organisations. Whilst SOEs provide many benefits to an organisation they can leave them vulnerable to several large security risks. CERT statistics show that security incidents have increased six fold since 2000 [1]. This paper will examine trends in both open and closed software development for a number of platforms ...


Poster: Image Disguising For Privacy-Preserving Deep Learning, Sagar Sharma, Keke Chen Mar 2019

Poster: Image Disguising For Privacy-Preserving Deep Learning, Sagar Sharma, Keke Chen

Keke Chen

No abstract provided.


Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth Mar 2019

Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth

Keke Chen

Modern healthcare systems now rely on advanced computing methods and technologies, such as IoT devices and clouds, to collect and analyze personal health data at unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical models derived from such data sources to remotely monitor patients, early-diagnose diseases, and find personalized treatments and medications. However, without appropriate privacy protection, conducting data analytics becomes a source of privacy nightmare. In this paper, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems. The study is based on kHealth - a personalized digital healthcare information system that ...


Poster: Privacy-Preserving Boosting With Random Linear Classifiers, Sagar Sharma, Keke Chen Mar 2019

Poster: Privacy-Preserving Boosting With Random Linear Classifiers, Sagar Sharma, Keke Chen

Keke Chen

We propose SecureBoost, a privacy-preserving predictive modeling framework, that allows service providers (SPs) to build powerful boosting models over encrypted or randomly masked user submit- ted data. SecureBoost uses random linear classifiers (RLCs) as the base classifiers. A Cryptographic Service Provider (CSP) manages keys and assists the SP’s processing to reduce the complexity of the protocol constructions. The SP learns only the base models (i.e., RLCs) and the CSP learns only the weights of the base models and a limited leakage function. This separated parameter holding avoids any party from abusing the final model or conducting model-based attacks ...


Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra Mar 2019

Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra

Krishnaprasad Thirunarayan

Healthcare as we know it is in the process of going through a massive change from:

1. Episodic to continuous

2. Disease-focused to wellness and quality of life focused

3. Clinic-centric to anywhere a patient is

4. Clinician controlled to patient empowered

5. Being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven URL: https://mhealth.md2k.org/2018-tech-showcase-home


Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth Mar 2019

Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth

Krishnaprasad Thirunarayan

Across the United States, suicide is the second leading cause of death for people aged between 15 and 34, and younger people are more prone to mental health problems, suicidal thoughts, and behaviors. For instance, 80% of patients with Borderline Personality Disorder have suicide-related behaviors, and between 4-9% of them commit suicide. Moreover, the social stigma associated with mental health issues and suicide deter patients from sharing their experiences directly with others. In such a situation, social media that provides a free and open forum for voluntary expression can provide insights into suicide ideation and self-destructive behavior.

Reddit is a ...


"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar Mar 2019

"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar

Krishnaprasad Thirunarayan

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to marijuana, it is no surprise that marijuana culture is thriving on Twitter. After the legalization of marijuana for recreational and medical purposes in 29 states, there has been a dramatic increase in the volume of drug-related communication on Twitter. Specifically, Twitter accounts have been established for promotional and informational purposes, some prominent among them being American Ganja, Medical Marijuana Exchange, and Cannabis Now. Identification and characterization ...


Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth Mar 2019

Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth

Krishnaprasad Thirunarayan

Mental Health America designed ten questionnaires that are used to determine the risk of mental disorders. They are also commonly used by Mental Health Professionals (MHPs) to assess suicidality. Specifically, the Columbia Suicide Severity Rating Scale (C-SSRS), a widely used suicide assessment questionnaire, helps MHPs determine the severity of suicide risk and offer an appropriate treatment. A major challenge in suicide treatment is the social stigma wherein the patient feels reluctance in discussing his/her conditions with an MHP, which leads to inaccurate assessment and treatment of patients. On the other hand, the same patient is comfortable freely discussing his ...


Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth Mar 2019

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Krishnaprasad Thirunarayan

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

  • Annually 6.7% of Americans (that is, more than 16 million).
  • Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
  • Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.


Empathi: An Ontology For Emergency Managing And Planning About Hazard Crisis, Manas Gaur, Kaeedeh Shekarpour, Amelia Gyrard, Amit P. Sheth Mar 2019

Empathi: An Ontology For Emergency Managing And Planning About Hazard Crisis, Manas Gaur, Kaeedeh Shekarpour, Amelia Gyrard, Amit P. Sheth

Amit P. Sheth

In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from sources such as satellite images, local sensors and social media content generated by local people.
A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets. Thus, in this paper, we introduce empathi ontology which conceptualizes the core concepts describing the domain of emergency managing and planning of hazard crises.
Although empathi has a coarse-grained view, it considers the necessary ...


Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth Mar 2019

Question Answering For Suicide Risk Assessment Using Reddit, Amanuel Alambo, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelia Gyrard, Randon S. Welton, Jyotishman Pathak, Amit P. Sheth

Amit P. Sheth

Mental Health America designed ten questionnaires that are used to determine the risk of mental disorders. They are also commonly used by Mental Health Professionals (MHPs) to assess suicidality. Specifically, the Columbia Suicide Severity Rating Scale (C-SSRS), a widely used suicide assessment questionnaire, helps MHPs determine the severity of suicide risk and offer an appropriate treatment. A major challenge in suicide treatment is the social stigma wherein the patient feels reluctance in discussing his/her conditions with an MHP, which leads to inaccurate assessment and treatment of patients. On the other hand, the same patient is comfortable freely discussing his ...


Using Electronic Health Records To Characterize Prescription Patterns: Focus On Antidepressants In Nonpsychiatric Outpatient Settings, Joseph J. Deferio, Tomer T. Levin, Judith Cukor, Samprit Banerjee, Rozan Abdulrahman, Amit P. Sheth, Neel Mehta, Jyotishman Pathak Mar 2019

Using Electronic Health Records To Characterize Prescription Patterns: Focus On Antidepressants In Nonpsychiatric Outpatient Settings, Joseph J. Deferio, Tomer T. Levin, Judith Cukor, Samprit Banerjee, Rozan Abdulrahman, Amit P. Sheth, Neel Mehta, Jyotishman Pathak

Amit P. Sheth

Objective

To characterize nonpsychiatric prescription patterns of antidepressants according to drug labels and evidence assessments (on-label, evidence-based, and off-label) using structured outpatient electronic health record (EHR) data. Methods

A retrospective analysis was conducted using deidentified EHR data from an outpatient practice at a New York City-based academic medical center. Structured “medication–diagnosis” pairs for antidepressants from 35 325 patients between January 2010 and December 2015 were compared to the latest drug product labels and evidence assessments. Results

Of 140 929 antidepressant prescriptions prescribed by primary care providers (PCPs) and nonpsychiatry specialists, 69% were characterized as “on-label/evidence-based uses.” Depression diagnoses ...


Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth Mar 2019

Towards Practical Privacy-Preserving Analytics For Iot And Cloud Based Healthcare Systems, Sagar Sharma, Keke Chen, Amit P. Sheth

Amit P. Sheth

Modern healthcare systems now rely on advanced computing methods and technologies, such as IoT devices and clouds, to collect and analyze personal health data at unprecedented scale and depth. Patients, doctors, healthcare providers, and researchers depend on analytical models derived from such data sources to remotely monitor patients, early-diagnose diseases, and find personalized treatments and medications. However, without appropriate privacy protection, conducting data analytics becomes a source of privacy nightmare. In this paper, we present the research challenges in developing practical privacy-preserving analytics in healthcare information systems. The study is based on kHealth - a personalized digital healthcare information system that ...


Metrics For Evaluating Quality Of Embeddings For Ontological Concepts, Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth Mar 2019

Metrics For Evaluating Quality Of Embeddings For Ontological Concepts, Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth

Amit P. Sheth

Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality of embeddings has been proposed yet. This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space. In this paper, we introduce a framework containing three distinct tasks concerned with the individual aspects of ontological concepts: (i) the categorization aspect, (ii) the hierarchical aspect, and (iii) the relational aspect. Then ...


Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth Mar 2019

Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth

Amit P. Sheth

Across the United States, suicide is the second leading cause of death for people aged between 15 and 34, and younger people are more prone to mental health problems, suicidal thoughts, and behaviors. For instance, 80% of patients with Borderline Personality Disorder have suicide-related behaviors, and between 4-9% of them commit suicide. Moreover, the social stigma associated with mental health issues and suicide deter patients from sharing their experiences directly with others. In such a situation, social media that provides a free and open forum for voluntary expression can provide insights into suicide ideation and self-destructive behavior.

Reddit is a ...


Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra Mar 2019

Augmented Personalized Health: Using Semantically Integrated Multimodal Data For Patient Empowered Health Management Strategies, Amit P. Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, R. Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra

Amit P. Sheth

Healthcare as we know it is in the process of going through a massive change from:

1. Episodic to continuous

2. Disease-focused to wellness and quality of life focused

3. Clinic-centric to anywhere a patient is

4. Clinician controlled to patient empowered

5. Being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven URL: https://mhealth.md2k.org/2018-tech-showcase-home


Creating Real-Time Dynamic Knowledge Graphs, Swati Padhee, Sarasi Lalithsena, Amit P. Sheth Mar 2019

Creating Real-Time Dynamic Knowledge Graphs, Swati Padhee, Sarasi Lalithsena, Amit P. Sheth

Amit P. Sheth

No abstract provided.


Building Iot Based Applications For Smart Cities: How Can Ontology Catalogs Help?, Amelia Gyrard, Antoine Zimmermann, Amit P. Sheth Mar 2019

Building Iot Based Applications For Smart Cities: How Can Ontology Catalogs Help?, Amelia Gyrard, Antoine Zimmermann, Amit P. Sheth

Amit P. Sheth

The Internet of Things (IoT) plays an ever-increasing role in enabling smart city applications. An ontology-based semantic approach can help improve interoperability between a variety of IoT-generated as well as complementary data needed to drive these applications. While multiple ontology catalogs exist, using them for IoT and smart city applications require significant amount of work. In this paper, we demonstrate how can ontology catalogs be more effectively used to design and develop smart city applications? We consider four ontology catalogs that are relevant for IoT and smart cities: 1) READY4SmartCities; 2) linked open vocabulary (LOV); 3) OpenSensingCity (OSC); and 4 ...


"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar Mar 2019

"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar

Amit P. Sheth

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to marijuana, it is no surprise that marijuana culture is thriving on Twitter. After the legalization of marijuana for recreational and medical purposes in 29 states, there has been a dramatic increase in the volume of drug-related communication on Twitter. Specifically, Twitter accounts have been established for promotional and informational purposes, some prominent among them being American Ganja, Medical Marijuana Exchange, and Cannabis Now. Identification and characterization ...


Iot-Enhanced Human Experience, Amit P. Sheth, Biplav Srivastava, Florian Michahelles Mar 2019

Iot-Enhanced Human Experience, Amit P. Sheth, Biplav Srivastava, Florian Michahelles

Amit P. Sheth

The two articles in this special section represent ongoing Internet of Things applications in the context of Europe trying to make solutions usable to people in daily times.