The document discusses the history and adoption of telephone technology from its invention in 1876 to modern times. It provides statistics on telephone and internet adoption over time. It also discusses early skepticism around the telephone and how experiments with new "use cases" helped drive adoption. Finally, it discusses how cognitive evaluation methods can be applied to optimize health websites and ensure they meet user needs.
The document discusses how technology has changed and affected behavior. It will cover how mobile technology has evolved, how people now access the internet through various devices, and how this has impacted behavior. It will then discuss approaches to creating better mobile products and building mobile apps.
This document discusses several issues relating to the impact and control of computers. It addresses how computers affect community and human interaction, the digital divide between information "haves" and "have-nots", the potential loss of skills and judgment with computer use, debates around the overall benefits and criticisms of computer technology, and challenges around prohibiting "bad" technologies. The document presents perspectives from both critics and advocates of technology on these topics and questions how access to information and technology should be regulated.
The Internet of Things. How it Works. Why it Matters.Laurie Lamberth
Slides from a webcast put on by the Gerson Lehrman Group in February, 2013 on the Internet of Things. Travel with me on a half-hour journey through the thought leaders in the space, into the types of devices and networks that support them -- with a big finish about how the Internet of Things can improve the environment, our health, our communities and our lives.
A general futurist look at how linear, exponential and discontinuous growth is shaping the future of technology and what may be expected in key areas such as hardware, software, semiconductors, artificial intelligence, nanotechnology, biotechnology, life extension and virtual worlds.
Audio: http://feeds.feedburner.com/BroaderPerspectivePodcast
The document discusses how information and communication technologies (ICTs) like social media can empower citizens and enable social change in developing nations. It provides examples of how platforms like Facebook and online petitions were used to disseminate information and garner support during important events in Philippine history like the EDSA Revolution and in the aftermath of disasters like Typhoon Yolanda. The document also outlines the concepts of digital citizenship, digital access, and online safety and ethics that are important for citizens to practice when using digital tools and platforms.
Global and mobile internets are created locally but have become global technologies. While the internet is imagined differently in various places, understanding its local contexts and histories is important to comprehending its role in globalization. Debate around internet freedom emerged as the internet became a mass medium, with different countries and activists promoting open or regulated visions of the internet.
The document discusses the concept of "deep support" in patient care through reengineering healthcare systems. It argues that deep support involves an ongoing relationship between patients and care providers based on advocacy, mutual respect, trust, and aligned interests. This level of support can be achieved through new digital technologies that enable better patient-centered communication and continuity of care. The document also examines how surveillance of patient internet use, meaningful use of electronic health records, and other initiatives can help meet public health goals by engaging patients and managing populations in a more supportive healthcare system.
The document discusses how technology has changed and affected behavior. It will cover how mobile technology has evolved, how people now access the internet through various devices, and how this has impacted behavior. It will then discuss approaches to creating better mobile products and building mobile apps.
This document discusses several issues relating to the impact and control of computers. It addresses how computers affect community and human interaction, the digital divide between information "haves" and "have-nots", the potential loss of skills and judgment with computer use, debates around the overall benefits and criticisms of computer technology, and challenges around prohibiting "bad" technologies. The document presents perspectives from both critics and advocates of technology on these topics and questions how access to information and technology should be regulated.
The Internet of Things. How it Works. Why it Matters.Laurie Lamberth
Slides from a webcast put on by the Gerson Lehrman Group in February, 2013 on the Internet of Things. Travel with me on a half-hour journey through the thought leaders in the space, into the types of devices and networks that support them -- with a big finish about how the Internet of Things can improve the environment, our health, our communities and our lives.
A general futurist look at how linear, exponential and discontinuous growth is shaping the future of technology and what may be expected in key areas such as hardware, software, semiconductors, artificial intelligence, nanotechnology, biotechnology, life extension and virtual worlds.
Audio: http://feeds.feedburner.com/BroaderPerspectivePodcast
The document discusses how information and communication technologies (ICTs) like social media can empower citizens and enable social change in developing nations. It provides examples of how platforms like Facebook and online petitions were used to disseminate information and garner support during important events in Philippine history like the EDSA Revolution and in the aftermath of disasters like Typhoon Yolanda. The document also outlines the concepts of digital citizenship, digital access, and online safety and ethics that are important for citizens to practice when using digital tools and platforms.
Global and mobile internets are created locally but have become global technologies. While the internet is imagined differently in various places, understanding its local contexts and histories is important to comprehending its role in globalization. Debate around internet freedom emerged as the internet became a mass medium, with different countries and activists promoting open or regulated visions of the internet.
The document discusses the concept of "deep support" in patient care through reengineering healthcare systems. It argues that deep support involves an ongoing relationship between patients and care providers based on advocacy, mutual respect, trust, and aligned interests. This level of support can be achieved through new digital technologies that enable better patient-centered communication and continuity of care. The document also examines how surveillance of patient internet use, meaningful use of electronic health records, and other initiatives can help meet public health goals by engaging patients and managing populations in a more supportive healthcare system.
Digital Trails Dave King 1 5 10 Part 1 D3Dave King
This document provides an overview and agenda for a tutorial on extracting intelligence from digital traces and trails left by web and mobile users. It discusses the proliferation of digital devices that create extensive data about people's online and mobile activities. Examples are given of different types of digital traces, including cookies, web bugs, location data, and social media interactions. Concerns about privacy are also mentioned as vast amounts of personal data are now collected and analyzed.
Prototyping Physical & Immersive Environments for UX DesignersSusan Oldham
This document summarizes a presentation about using low-fidelity prototyping tools to stimulate the design process. It discusses using physical models, projections, sensors and tracking to prototype physical and immersive environments for user experience design. Specific prototyping tools that were covered include 3D models, projections, sensors like iBeacons, microcontrollers like Arduino, and avatars to evaluate designs. The presentation provided examples of how these tools could be applied to prototype concepts involving the Internet of Things, augmented reality, virtual reality and physical spaces.
Sensors and Crowd - Steve Liang, GeoCENS ProjectCybera Inc.
Steve Liang, assistant professor at the University of Calgary, presented these slides as part of the Cybera Summit 2010 session, Environmental Infrastructure: The Tools and Technologies Behind Water and Resource Management.
Netnography online course part 1 of 3 17 november 2016suresh sood
The document discusses findings from two studies on social media usage in Australia. The first study found that Australians send an average of 234 million tweets per month, with females more likely to retweet than males. The second study was the first analysis of Instagram usage in Australia. It also discusses a social media research project called "Datafication" that analyzed Twitter data to understand user motivations and behaviors. Software created by Dr. Suresh Sood then analyzed the data to produce insights into what people do on Twitter.
The document discusses research methods used in two studies on gentrification. The Hwang and Sampson study used Google Street View images from 2007-2009 to detect neighborhood changes in Chicago. They found gentrification was negatively associated with the concentration of black and Latino residents. The Boyd study used historical research and ethnography to analyze a black community in Chicago's South Side. It found middle-class consumption created opportunities for gentrification and blacks engaged in "defensive development" to protect their community. Both studies used qualitative data and census records to analyze gentrification patterns.
The document discusses technology-mediated social participation and outlines the goals and challenges of the Summer Social Webshop. It summarizes that the Webshop aims to (1) clarify national priorities, (2) develop research questions around social participation, and (3) promote novel research methodologies to influence national policy and increase educational opportunities. It also notes key challenges include malicious attacks, privacy violations, lack of trust, and failure to be universally accessible.
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
Carrying the Banner: Reinventing News on Your University WebsiteGeorgiana Cohen
As delivered for EMG Online webinar, Oct. 13, 2011
http://www.emgonline.com/Academy/Pages/EMG-Academy/Products/KnowledgeBuilders/Reinventing-News-on-Your-University-Web-Site
David Nicholas, Ciber: Audience Analysis and Modelling, the case of CIBER and...michellep
The document discusses CIBER's work using deep log analysis (DLA) to understand user behavior in digital environments. DLA transforms digital activity data into information on user satisfaction, impacts, and outcomes. Findings from DLA are used to inform system changes. Benefits of DLA include its ability to analyze massive amounts of direct and real-time user activity data without sampling. CIBER has used DLA in various research projects analyzing digital behavior in fields like health, publishing, and education.
This document provides an overview of a workshop on using data for science journalism. It discusses several approaches for incorporating data into stories, including: mapping controversies on issues like climate change; using data to tell stories in science and technology; and analyzing networks to reveal connections. Specific techniques are illustrated, such as mapping the influence of climate change skeptics online and connections between counter-jihadist groups on Facebook. The document also reviews several tools and resources for data journalism.
The document provides an introduction and agenda for a course on big data and data science. It defines big data as large, complex data sets that are difficult to process using traditional data processing applications. It notes that 90% of data in the world today was created in the last two years alone. It also defines the four V's of big data: volume, variety, velocity, and veracity. The document defines data science as an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It notes that data scientists work with hypothesis generation, data analysis, and data visualization to gather insights that inform decisions. The document outlines some of the day-to-day responsibilities
This document summarizes key points from a talk by Farida Vis on discussing and understanding Big Data. It outlines academic and industry definitions of Big Data, focusing on issues of objectivity, bias, and how data can only answer questions it was designed for. It also discusses how algorithms and data collection are not fully visible or understood, and proposes drawing on ideas from particle physics to make inferences about these "dark matters" and uncover their effects on visible data.
The document discusses big data and foresight. It covers the following topic areas: foresight and transdisciplinarity, social media and predictive capabilities, new and innovative information sources, the internet of things, big data scenarios, and how to use foresight as part of daily business operations. It provides examples of different types of analyses that can be used for foresight, including trends analysis, scenarios, forecasting, and historical analysis. It also discusses several case studies and examples, such as predicting the success of movies based on social media data, using search engine queries to detect flu trends, and the large amount of data that will be generated by the Square Kilometer Array radio telescope. Overall, the document outlines how big data and
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014Jisc
The analysis of government data, data held by business, the web, social science survey data will support new research directions and findings. Big Data is one of David Willetts’ 8 great technologies, and in order to secure the UK’s competitive advantage new investments have been made by the Economic Social Science Research Council ( ESRC) in Big Data, for example the Business Datasafe and Understanding Populations investments. In this session the benefits of the use of Big Data in social science , and the ESRCs Big Data strategy will be explained by Professor David De Roure.of the Oxford e-Research Centre and advisor to the ESRC.
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This document discusses research on creativity and creative industries using a social network analysis perspective. It examines different definitions of creativity and creative industries. Specifically, it looks at how individual creativity relates to social networks and the creative workforce. The document also reviews literature that has applied social network analysis to study various creative industries, finding more research in design and fewer papers considering crafts. Overall, the methodology and definitions used in creative industries research are challenging and can provide varying results depending on the approach.
The global smartphone business: A large-scale, open business ecosystemJim Moore
The global smartphone business is remarkable in terms of its purpose, its accomplishments which include making more than a billion units a year, and being available and affordable across the entire world. Diverse and highly differentiated, almost individualized products are available because of an open hardware ecosystem made inter-operable with design automation software. An innovation ecosystem, a business ecosystem that goes far beyond current supply chain architecture
How open data contribute to improving the world. The life science use case. The technical, social, ethical issues.
This was a talk given within the iGEM 2020 programme by the London Imperial College students group (https://2020.igem.org/Team:Imperial_College), in a webinar organised by the SOAPLab group on the topic of Ethics of Automation. Excellent Dr Brandon Sepulvado was the other speaker of the day.
Managing Confidential Information – Trends and ApproachesMicah Altman
Personal information is ubiquitous and it is becoming increasingly easy to link information to individuals. Laws, regulations and policies governing information privacy are complex, but most intervene through either access or anonymization at the time of data publication.
Trends in information collection and management -- cloud storage, "big" data, and debates about the right to limit access to published but personal information complicate data management, and make traditional approaches to managing confidential data decreasingly effective.
This session presented as part of the the Program on Information Science seminar series, examines trends information privacy. And the session will also discuss emerging approaches and research around managing confidential research information throughout its lifecycle.
Sbm open science committee report to the boardBradford Hesse
In the spirit of transparency, I am uploading a mid-course presentation I made to the Board of Directors for the Society of Behavioral Medicine on the topic of Open Science. The report embodies the best thinking of some of the greatest thinkers in our field.
Talk delivered at the Samsung Cancer Center to describe the potential of Connected Health approaches in solving many of the last mile problems in cancer care.
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This document provides an overview and agenda for a tutorial on extracting intelligence from digital traces and trails left by web and mobile users. It discusses the proliferation of digital devices that create extensive data about people's online and mobile activities. Examples are given of different types of digital traces, including cookies, web bugs, location data, and social media interactions. Concerns about privacy are also mentioned as vast amounts of personal data are now collected and analyzed.
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This document summarizes a presentation about using low-fidelity prototyping tools to stimulate the design process. It discusses using physical models, projections, sensors and tracking to prototype physical and immersive environments for user experience design. Specific prototyping tools that were covered include 3D models, projections, sensors like iBeacons, microcontrollers like Arduino, and avatars to evaluate designs. The presentation provided examples of how these tools could be applied to prototype concepts involving the Internet of Things, augmented reality, virtual reality and physical spaces.
Sensors and Crowd - Steve Liang, GeoCENS ProjectCybera Inc.
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The document discusses findings from two studies on social media usage in Australia. The first study found that Australians send an average of 234 million tweets per month, with females more likely to retweet than males. The second study was the first analysis of Instagram usage in Australia. It also discusses a social media research project called "Datafication" that analyzed Twitter data to understand user motivations and behaviors. Software created by Dr. Suresh Sood then analyzed the data to produce insights into what people do on Twitter.
The document discusses research methods used in two studies on gentrification. The Hwang and Sampson study used Google Street View images from 2007-2009 to detect neighborhood changes in Chicago. They found gentrification was negatively associated with the concentration of black and Latino residents. The Boyd study used historical research and ethnography to analyze a black community in Chicago's South Side. It found middle-class consumption created opportunities for gentrification and blacks engaged in "defensive development" to protect their community. Both studies used qualitative data and census records to analyze gentrification patterns.
The document discusses technology-mediated social participation and outlines the goals and challenges of the Summer Social Webshop. It summarizes that the Webshop aims to (1) clarify national priorities, (2) develop research questions around social participation, and (3) promote novel research methodologies to influence national policy and increase educational opportunities. It also notes key challenges include malicious attacks, privacy violations, lack of trust, and failure to be universally accessible.
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
Carrying the Banner: Reinventing News on Your University WebsiteGeorgiana Cohen
As delivered for EMG Online webinar, Oct. 13, 2011
http://www.emgonline.com/Academy/Pages/EMG-Academy/Products/KnowledgeBuilders/Reinventing-News-on-Your-University-Web-Site
David Nicholas, Ciber: Audience Analysis and Modelling, the case of CIBER and...michellep
The document discusses CIBER's work using deep log analysis (DLA) to understand user behavior in digital environments. DLA transforms digital activity data into information on user satisfaction, impacts, and outcomes. Findings from DLA are used to inform system changes. Benefits of DLA include its ability to analyze massive amounts of direct and real-time user activity data without sampling. CIBER has used DLA in various research projects analyzing digital behavior in fields like health, publishing, and education.
This document provides an overview of a workshop on using data for science journalism. It discusses several approaches for incorporating data into stories, including: mapping controversies on issues like climate change; using data to tell stories in science and technology; and analyzing networks to reveal connections. Specific techniques are illustrated, such as mapping the influence of climate change skeptics online and connections between counter-jihadist groups on Facebook. The document also reviews several tools and resources for data journalism.
The document provides an introduction and agenda for a course on big data and data science. It defines big data as large, complex data sets that are difficult to process using traditional data processing applications. It notes that 90% of data in the world today was created in the last two years alone. It also defines the four V's of big data: volume, variety, velocity, and veracity. The document defines data science as an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It notes that data scientists work with hypothesis generation, data analysis, and data visualization to gather insights that inform decisions. The document outlines some of the day-to-day responsibilities
This document summarizes key points from a talk by Farida Vis on discussing and understanding Big Data. It outlines academic and industry definitions of Big Data, focusing on issues of objectivity, bias, and how data can only answer questions it was designed for. It also discusses how algorithms and data collection are not fully visible or understood, and proposes drawing on ideas from particle physics to make inferences about these "dark matters" and uncover their effects on visible data.
The document discusses big data and foresight. It covers the following topic areas: foresight and transdisciplinarity, social media and predictive capabilities, new and innovative information sources, the internet of things, big data scenarios, and how to use foresight as part of daily business operations. It provides examples of different types of analyses that can be used for foresight, including trends analysis, scenarios, forecasting, and historical analysis. It also discusses several case studies and examples, such as predicting the success of movies based on social media data, using search engine queries to detect flu trends, and the large amount of data that will be generated by the Square Kilometer Array radio telescope. Overall, the document outlines how big data and
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The analysis of government data, data held by business, the web, social science survey data will support new research directions and findings. Big Data is one of David Willetts’ 8 great technologies, and in order to secure the UK’s competitive advantage new investments have been made by the Economic Social Science Research Council ( ESRC) in Big Data, for example the Business Datasafe and Understanding Populations investments. In this session the benefits of the use of Big Data in social science , and the ESRCs Big Data strategy will be explained by Professor David De Roure.of the Oxford e-Research Centre and advisor to the ESRC.
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This document discusses research on creativity and creative industries using a social network analysis perspective. It examines different definitions of creativity and creative industries. Specifically, it looks at how individual creativity relates to social networks and the creative workforce. The document also reviews literature that has applied social network analysis to study various creative industries, finding more research in design and fewer papers considering crafts. Overall, the methodology and definitions used in creative industries research are challenging and can provide varying results depending on the approach.
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The global smartphone business is remarkable in terms of its purpose, its accomplishments which include making more than a billion units a year, and being available and affordable across the entire world. Diverse and highly differentiated, almost individualized products are available because of an open hardware ecosystem made inter-operable with design automation software. An innovation ecosystem, a business ecosystem that goes far beyond current supply chain architecture
How open data contribute to improving the world. The life science use case. The technical, social, ethical issues.
This was a talk given within the iGEM 2020 programme by the London Imperial College students group (https://2020.igem.org/Team:Imperial_College), in a webinar organised by the SOAPLab group on the topic of Ethics of Automation. Excellent Dr Brandon Sepulvado was the other speaker of the day.
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Personal information is ubiquitous and it is becoming increasingly easy to link information to individuals. Laws, regulations and policies governing information privacy are complex, but most intervene through either access or anonymization at the time of data publication.
Trends in information collection and management -- cloud storage, "big" data, and debates about the right to limit access to published but personal information complicate data management, and make traditional approaches to managing confidential data decreasingly effective.
This session presented as part of the the Program on Information Science seminar series, examines trends information privacy. And the session will also discuss emerging approaches and research around managing confidential research information throughout its lifecycle.
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Talk delivered at the Samsung Cancer Center to describe the potential of Connected Health approaches in solving many of the last mile problems in cancer care.
The document discusses how connected digital tools and data can help augment human capacity in healthcare by providing deep support for patients and populations. It provides examples of how electronic health records, personalized outreach, and remote monitoring have helped improve outcomes for cancer screening, smoking cessation, and symptom management. However, fully realizing the benefits of these technologies will require addressing issues around data integration, communication gaps, and adapting clinical workflows. The goal is to use digital tools to inform and support patients and providers, not replace human relationships and judgment.
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Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
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Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
Cell Therapy Expansion and Challenges in Autoimmune Disease
Presentation to Hillman Cancer Center (University of Pittsburgh) 2013
1. Bradford W. Hesse, PhD
Chief, Health Communication and Informatics Research
Harnessing the Power of An
Intelligent Health Environment
Friday, September 27, 2013
2. Founded: February 14, 2005
Entries: 48 hours / minute
8 years / per day
Available in: 54 languages
Reach: 37 % global Internet*
Founded: January 15, 2001
Registered Users: 35,000,000
Available in: 285 languages
Reach: 14 % global Internet*
* Total Global Internet Users (December 31, 2011): 2,267,233,742
Friday, September 27, 2013
3. Founded: September 4, 1998
Revenue: $37.905 billion
Distribution:World wide
Reach: 48 % global Internet*
* Total Global Internet Users (December 31, 2011): 2,267,233,742
Founded: February 4, 2004
Registered Users: 955,000,000
Distribution:World wide
Reach: 45 % global Internet*
Friday, September 27, 2013
4. March 1876:The first telephone call
•“Youngest and most wonderful development in means
of communicating” -Watson
•“A means for overcoming the limitations of
geography”*
1876
Learning
from
History:
Diffusion
of
Telephone
First telephone call
1889
First public pay phone
installed at a bank in
Hartford, Conn.
1891
First Automatic
Dialer
*See: Brooks, J. (1975).Telephone:The First HundredYears.. Harper & Row.
Friday, September 27, 2013
5. What did the prognosticators say?
•“Really a technological toy; no business application”
• “too depersonalized” … word ‘phony’ introduced to
describe the dangers of telephone anonymity.
1876
Learning
from
History:
Diffusion
of
Telephone
First telephone call
1889
First public pay phone
installed at a bank in
Hartford, Conn.
1891
First Automatic
Dialer
*See: Brooks, J. (1975).Telephone:The First HundredYears.. Harper & Row.
Friday, September 27, 2013
6. The
ques9on
was
no
longer
technical,
it
was
sociotechnical.
How
could
telephones
make
a
difference
in
business
and
rela9onships?
1900
Source: www.visualizationeconomics.com
1925 1950 1975 2000
Friday, September 27, 2013
9. !"
#!"
$!"
%!"
&!"
'!"
(!"
)!"
*!"
+!"
#!!"
#*+!" #*+'" #+!!" #+!'" #+#!" #+#'" #+$!" #+$'" #+%!" #+%'" #+&!" #+&'" #+'!" #+''" #+(!" #+('" #+)!" #+)'" #+*!" #+*'" #++!" #++'" $!!!" $!!'" $!#!"
!"#$"%&'()'*+,+'-(./"0(12/'
3"4#'
5"1"60(%"'72(68(%'Telephone
Adop9on
in
the
U.S.
1900
Source: www.visualizationeconomics.com
1925 1950 1975 2000
Experiments in value-
added “use cases:”
e.g., replace couriers
Post War Consumerism
• “Reach out touch someone”
• “Let your fingers do the walking”
Friday, September 27, 2013
10. !"
#!"
$!"
%!"
&!"
'!"
(!"
)!"
*!"
+!"
#!!"
#*+!" #*+'" #+!!" #+!'" #+#!" #+#'" #+$!" #+$'" #+%!" #+%'" #+&!" #+&'" #+'!" #+''" #+(!" #+('" #+)!" #+)'" #+*!" #+*'" #++!" #++'" $!!!" $!!'" $!#!"
!"#$"%&'()'*+,+'-(./"0(12/'
3"4#'
5"1"60(%"'72(68(%'Telephone
Adop9on
in
the
U.S.
1900
Source: www.visualizationeconomics.com
1925 1950 1975 2000
Experiments in value-
added “use cases:”
e.g., replace couriers
Post War Consumerism
• “Reach out touch someone”
• “Let your fingers do the walking”
Global competition:
Launch of Sputnik
Friday, September 27, 2013
11. 1982 1988
Socioetechnical
Perspec9ve:
Mediated
Communica9on
* Hesse BW,Werner CM,Altman I.Temporal aspects of computer-mediated communication.
Computers in Human Behavior. 1988;4(2):147-165.
.
Irwin Altman, PhD
Vice President, University of Utah
CarolWerner, PhD
Psychology, University of Utah
Friday, September 27, 2013
12. * Hesse BW,Werner CM,Altman I.Temporal aspects of computer-mediated communication.
Computers in Human Behavior. 1988;4(2):147-165.
.
1982 1988
Can technology
bridge spatial
constraints (e.g.,
telemedicine)?
Can asynchrony be
used to overcome
temporal restraints?
How do we create a
better fit between
information environment
and healthy behavior? How do we improve
human factors: i.e.,
safety, effectiveness,
patient-centeredness,
equity?
Friday, September 27, 2013
13. 19901988
* Hesse BW, Sproull L, Kiesler SB,Walsh JP. Returns to science: computer networks in oceanography. Commun.ACM. 1993;36(8):90-101.
** Sproull L, Kiesler S. Connections : new ways of working in the networked organization. Cambridge, Mass.: MIT Press; 1991.
Studies
of
Change
in
Communica9on
Environment
(Non
Medical)
Found:
1.Geographic benefits: e.g., land-
locked oceanographers who were
online gained in papers written,
funding obtained, and collaborations
reported.
2.Temporal benefits: Shift workers in
state governments and commercial
business gained differential benefits
in productivity over day workers.
3.Social benefits: Minority factions in
decision groups participated more
equally online.
Friday, September 27, 2013
14. 19961989
Motorola’s Consumer
Cell Phone
Consumer Internet
See: Boyle, L.F. (1993). Averting PC Headaches: Usability Tests Aim To Find Design Bugaboos Before They Find
You. San Jose Mercury News, April 4, 1993,1F & 7F. San Jose, CA.
Apple’s Newton
Cogni9ve
Laboratory:
User-‐Centered
Design
(Commercial)
Friday, September 27, 2013
18. How
do
we
accelerate
successes
against
cancer
using
the
affordances
of
this
new
environment?
Friday, September 27, 2013
19. This latest phase of the information
revolution will change the way we create
health and deliver health care … if we
are smart enough to know how to use it.
— Francis Collins, Director NIH
Friday, September 27, 2013
20. Cognitive
Sciences
Cogni9ve
Evalua9on
Methods
User-Centered Design Process
Source: Brinck T, Gergle D, Wood SD. Designing Web sites that work : usability for the Web. 1st ed. San Francisco: Morgan Kaufmann Publishers; 2002.
Requirements
Analysis
Conceptual
Design
Mockups and
Prototypes
Production Launch
User Evaluation
1 2 3 4 5
!
Friday, September 27, 2013
21. Requirements
Analysis
Conceptual
Design
Mockups and
Prototypes
Production Launch
1 2 3 4 5
•Market scan
•Goal setting
•Audience analysis
•Interviews
•User panels
•User survey
•Contextual inquiry
•Usage log analysis
•Search log analysis
•Usability tests
•Expert review
•Site Mapping
•Brainstorming
•Card sorting
•Task analysis
•Storyboarding
•Info. architecture
•Function specs
•Integrate with
marketing plans
•Design
guidelines
•Expert review
•Templates
•Paper prototypes
•Wire frames
•Focus groups
•Interviews
•Usability testing
•Behavioral coding
•Usability checklists
•Design guidelines
•Template use
•User testing
•Behavioral coding
•Usage log analysis
•Bounce-back
Surveys
•Remote usability
Testing
•Expert review
•Behavioral coding
User-Centered Design Process
!
Cogni9ve
Evalua9on
MethodsCognitive
Sciences
•Market scan
•Goal setting
•Audience analysis
•Interviews
•User panels
•User survey
•Contextual inquiry
•Usage log analysis
•Search log analysis
•Usability tests
•Expert review
•Site Mapping
•Brainstorming
•Card sorting
•Task analysis
•Storyboarding
•Info. architecture
•Function specs
•Integrate with
marketing plans
•Design
guidelines
•Expert review
•Templates
•Paper prototypes
•Wire frames
•Focus groups
•Interviews
•Usability testing
•Behavioral coding
•Usability checklists
•Design guidelines
•Template use
•User testing
•Behavioral coding
•Usage log analysis
•Bounce-back
Surveys
•Remote usability
Testing
•Expert review
•Behavioral coding
CDC Web 2001
National Breast & Cervical Cancer
Early Detection Program
Source: Hesse BW, Shaikh A, R., Toward JI, Edgar T. Final Report of the CDC Main Web Site Evaluation. Atlanta, GA: Centers
for Disease Control and Prevention; April 2002.
Friday, September 27, 2013
24. Bounceback Survey
Health care providers
16%
Policymakers
7%
Scientists
7%
Media reps
1%
Student
22%
Librarian
1%
Educator
7%
Not related to Occupation
15%
Other
24%General Consumers
Bounceback Survey
Health care providers
16%
Policymakers
7%
Scientists
7%
Media reps
1%
Student
22%
Librarian
1%
Educator
7%
Not related to Occupation
15%
Other
24%General Consumers
Who
were
visitors?
How
referred?Cognitive
Sciences
Friday, September 27, 2013
26. WHO
4% (n=58,147)
travel.state.gov
4% (69,247)
News Sites
5% (n=88,772)
hss.state.ak.us
0% (n=7,029)
NLM
1% (n=19,606)
Search Engines
86% (n=1,406,964)
WHO
4% (n=58,147)
travel.state.gov
4% (69,247)
News Sites
5% (n=88,772)
hss.state.ak.us
0% (n=7,029)
NLM
1% (n=19,606)
Search Engines
86% (n=1,406,964)
Who
were
visitors?
How
referred?Cognitive
Sciences
Content
Analysis
Friday, September 27, 2013
27. How
did
this
change
strategy?
20
Internet is Transformational
• Demassified
• Decentralized
• Adaptable
• Asynchronous
• Interactive
• Interconnected
Traditional CommunicationTraditional Communication
ChannelsChannels
CDC
State and Local
Health Officials
Media
Policymakers
Researchers &
Practitioners
Public
CDC
State and Local
Health Officials
Media
Policymakers
Researchers &
Practitioners
Public
CDC
State and Local
Health Officials
Media
Policymakers
Researchers &
Practitioners
Public
Internet Enabled ChannelsInternet Enabled Channels
Cognitive
Sciences
See: Hesse BW. Harnessing the power of an intelligent health environment in cancer control.
Stud Health Technol Inform. 2005;118:159-176.
Friday, September 27, 2013
28. CDC
adapts
“CDC used to be in the wholesale
business of providing information to
state and local health departments.
We are now in the business of
providing health information directly
to individuals.”
- Dr. J. Gerberding, 2003
CDC Director
Julie Gerberding, MD MPH
Cognitive
Sciences
2012 Statistics:
• 746,222,316 page views
• 2,970,449 views - CDC en Español
Most Popular Topics on CDC.gov
• STD FACTS
• CDC Homepage, Search, A-Z
• Vaccines
• Health Statistics
• Travelers' Health
• Seasonal Flu
Friday, September 27, 2013
29. 25
Redesigned with
Consumer Appeal,
2004
Link to live
help
Link to
Clinical Trials
Front Page
Access to
Descriptions
Communicating
Science to the Public
Spanish Site
Launched
2006
NIH
-‐
NCI
AdaptsCognitive
Sciences
Friday, September 27, 2013
30. Surveillance
July 27, 2012
Cognitive
Sciences
See also: Hesse BW, Nelson DE, Rutten LF, Moser RP, Beckjord EB, Chou W-YS. National Health Communication Surveillance Systems. In:
D. K. Kim ASGLK, ed. Global Health Communication Strategies in the 21st Century: Design, Implementation, and Evaluation. New
York, NY: Peter Lang; In Press.
.
Health
Situa9onal
Awareness
Friday, September 27, 2013
31. Surveillance
Cognitive
Sciences
*NIH Nominee to White House for “Open
Science Champion,” May 14 2013.
Data Briefs
Statistical
Guides
Peer Reviewed
Publications
Web Platform for Participation*
Health
Informa9on
Na9onal
Trends
Survey
(HINTS)
Friday, September 27, 2013
32. Surveillance
Cognitive
Sciences
HINTS
Brief
#1:
Trust
in
channels
and
cancer
informa9on
seeking
Source: Hesse BW, Nelson DE, Kreps GL, et al.Trust and sources of health information: the impact of the Internet and its implications for health care
providers: findings from the first Health Information NationalTrends Survey.Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
33. Surveillance
Cognitive
Sciences
Where
would
you
prefer
to
go
for
cancer
informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al.Trust and sources of health information: the impact of the Internet and its implications for health care
providers: findings from the first Health Information NationalTrends Survey.Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
34. Surveillance
Cognitive
Sciences
Where
did
you
go
for
cancer
informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al.Trust and sources of health information: the impact of the Internet and its implications for health care
providers: findings from the first Health Information NationalTrends Survey.Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
35. Surveillance
Cognitive
Sciences
Where
did
you
go
for
cancer
informa9on?
Source: Hesse BW, Nelson DE, Kreps GL, et al.Trust and sources of health information: the impact of the Internet and its implications for health care
providers: findings from the first Health Information NationalTrends Survey.Arch Intern Med. Dec 12-26 2005;165(22):2618-2624.
Friday, September 27, 2013
36. How
do
Survivors
get
their
cancer
informa9on?
Surveillance
Cognitive
Sciences
Source: Hesse BW,Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj Arora
NCI
Cancer Survivors
Friday, September 27, 2013
37. How
do
Survivors
get
their
cancer
informa9on?
Surveillance
Cognitive
Sciences
Source: Hesse BW,Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj Arora
NCI
Cancer Survivors
Friday, September 27, 2013
38. How
do
Survivors
get
their
cancer
informa9on?
Surveillance
Cognitive
Sciences
Source: Hesse BW,Arora NK, Beckjord EB, Finney Rutten LJ. Information Support for Cancer Survivors. Cancer. 2008;112(11S):2529-2540.
Neeraj Arora
NCI
Cancer Survivors
Patient to Survivor:
Lost in Transition?
Friday, September 27, 2013
39. Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
Surveillance
Cognitive
Sciences
Trends:
2002-‐2003,
2005,
2008
Friday, September 27, 2013
40. Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
Surveillance
Cognitive
Sciences
Trends:
2002-‐2003,
2005,
2008
Friday, September 27, 2013
41. Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
Surveillance
Cognitive
Sciences
Trends:
2002-‐2003,
2005,
2008
Friday, September 27, 2013
42. Source: Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. Mar 4 2010;362(9):859-860.
Surveillance
Cognitive
Sciences
Trends:
2002-‐2003,
2005,
2008
Friday, September 27, 2013
43. Surveillance
Cognitive
Sciences
HITECH*
Act
passed
in
2009
*Health
I.T.
for
Economic
&
Clinical
Health
Act
Health I.T. as Foundation
for Evidence
Implementation
Source: Hesse BW, Ahern DK, Woods SS. Nudging best practice: the HITECH act and behavioral medicine Translational Behavioral Medicine. 2011;1(1):175-181.
Friday, September 27, 2013
44. Source: Jamoom E, Beatty P, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician adoption of electronic health record systems:
United States, 2011. NCHS data brief. Jul 2012(98):1-8.
Surveillance
Cognitive
Sciences
Supply
Side
Friday, September 27, 2013
45. Source: Jamoom E, Beatty P, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician adoption of electronic health record systems:
United States, 2011. NCHS data brief. Jul 2012(98):1-8.
National Ambulatory Medical Care Survey
Surveillance
Cognitive
Sciences
Supply
Side
Friday, September 27, 2013
46. Health Information National Trends Survey
Demand
SideSurveillance
Cognitive
Sciences
Friday, September 27, 2013
47. Health Information National Trends Survey
Demand
SideSurveillance
Cognitive
Sciences
Friday, September 27, 2013
48. Health Information National Trends Survey
Demand
SideSurveillance
Cognitive
Sciences
Friday, September 27, 2013
49. Surveillance
Cognitive
Sciences
Understanding
the
digital
divide
Did you use the Internet to look for medical information for yourself?
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Less than high school High school graduate Some college (AA) College graduate
(BA/BS)
Education Level
Percentage
2003
2005
2008
The Digital Divide
See: Rutten LF, Moser RP, Beckjord EB, Hesse, BW, Croyle RT. Cancer Communication: Health Information
National Trends Survey. Washington DC: National Cancer Institute. 2007.
Lila Rutten
Mayo Clinic
Rick Moser
NCI
Ellen Beckjord
U of Pittsburgh
Med School
Friday, September 27, 2013
58. What
about
“Web
2.0?”Surveillance
Cognitive
Sciences
Source: Chou WY, HuntYM, Beckjord EB, Moser RP, Hesse BW. Social media use in the United States:
implications for health communication. J
Med
Internet
Res.
2009;11(4):e48.
Wen-Ying (Sylvia) ChouWeb 2.0: Platforms for Participation
Friday, September 27, 2013
60. Surveillance
Cognitive
Sciences
Gary Kreps Paula Kim
Agreement between NCI (Bradford Hesse) and Health
Ministry of China (Mao Qu’nan) to cooperate in areas
of Health Communication & Informatics Research
-George Mason University, March 29
Can
we
learn
from
comparisons
across
cultures?
Wen-Ying (Sylvia) Chou
Friday, September 27, 2013
65. Iden9fying
System
Level
Needs
/
Strategies
State of the Science & Practice
February 14, 2011
Synthesis of Systematic Reviews
August 20, 2012
Blueprint: Uniting Systems
through Communication Science
Late summer, 2013
• Health Impact Framework (CDC)
• Targets across continuum
• Affordable Care Act
• Health Information Technology for
Economic & Clinical Health:HITECH
• Technology Mediated Social
Participation (Health 2.0)
• Dissemination and Implementation
Science
• Agenda-aligning communications
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
66. NSF:
Technology
Mediated
Social
Par9cipa9on
Surveillance Health 2.0
Cognitive
Sciences
Source: Hesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC. Social Participation in Health 2.0. IEEE
Computer. 2010;43(11):45-52.
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
67. Courtesy of Oracle Systems
See: *Nelson DE, Hesse BW, Croyle RT. Making Data Talk: Communicating Health Data to the Public, Policy, and the Press. New York, NY: Oxford; 2009.
**Shneiderman B, Plaisant C, Hesse BW. Improving Healthcare with Interactive Visualization. In: Catherine P, Bradford WH, eds. IEEE Computer. Vol
462013:58-66.
May 2013**
Surveillance
System
Sciences
Cognitive
Sciences
May 2009*
Communica9ng
Evidence
Friday, September 27, 2013
68. Transforming
Cancer
Research
and
Prac9ce
Bill Chismar Abdul Shaikh
Source: Chismar W, Horan TA, Hesse BW, Feldman SS, Shaikh AR. Health cyberinfrastructure for collaborative use-inspired
research and practice. Am J Prev Med. May 2011;40(5 Suppl 2):S108-114.
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
69. ASCO’s
Blueprint,
2011
Oncology as information
science: “The Learning
Health Care System”
Hospital Based
EHR Data
Hospital Based
EHR Data
Health Information Exchange
Medical
Team
Patient
&
Family
Hospital
System
Decision
Support
Needs
Subjective
• Chief complaint
• Patient Reported Outcomes
• Risk modeling
• Diagnostic support
• Treatment selection
• Guideline adherence
• Error detection/correction
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Objective
• Clinical measures
• Laboratory findings
• Sensor data
Assessment
• Diagnosis
• Categorical reporting
• Prognosis
Plan
• Treatment planning
• Self-care planning
• Post treatment
• Surveillance
See: Hesse BW, Ahern DK, Woods SS. Nudging best practice: the HITECH act and behavioral medicine Translational Behavioral Medicine. 2011;1(1):175-181.
Hesse BW, Croyle RT, Buetow KH. Cyberinfrastructure and the biomedical sciences. Am J Prev Med. May 2011;40(5 Suppl 2):S97-102.
Hospital Based
EHR Data
Hospital Based
EHR Data
Health Information Exchange
Medical
Team
Patient
&
Family
Hospital
System
Decision
Support
Needs
Subjective
• Chief complaint
• Patient Reported Outcomes
• Risk modeling
• Diagnostic support
• Treatment selection
• Guideline adherence
• Error detection/correction
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Objective
• Clinical measures
• Laboratory findings
• Sensor data
Assessment
• Diagnosis
• Categorical reporting
• Prognosis
Plan
• Treatment planning
• Self-care planning
• Post treatment
• Surveillance
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
70. Are
we
really
partnering
with
pa9ents?
Hugo
Campos
Hospital Based
EHR Data
rmation Exchange
Patient
&
Family
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
71. Are
we
really
partnering
with
pa9ents?
Hugo
Campos
Hospital Based
EHR Data
rmation Exchange
Patient
&
Family
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
72. Are
we
really
partnering
with
pa9ents?
Hugo
Campos
Hospital Based
EHR Data
rmation Exchange
Patient
&
Family
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
73. Are
we
really
partnering
with
pa9ents?
Hugo
Campos
Hospital Based
EHR Data
rmation Exchange
Patient
&
Family
Medical
Researcher
• Situational awareness
• Population health
• Continuity of care
• Identify side effects
• Inform discovery
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013
74. Pa9ents
Char9ng
the
Way
Dr. Susan Love Jamie Heywood
Patients Like Me
Surveillance
System
Sciences
Cognitive
Sciences
Friday, September 27, 2013