際際滷shows by User: karinakohl / http://www.slideshare.net/images/logo.gif 際際滷shows by User: karinakohl / Thu, 16 Jan 2020 19:13:10 GMT 際際滷Share feed for 際際滷shows by User: karinakohl Reinforcing Diversity Company Policies: Insights from StackOverflow Developers Survey /slideshow/reinforcing-diversity-company-policies-insights-from-stackoverflow-developers-survey/220760830 iceiskarina2019-200116191310
Presented at ICEIS 2019, Heraklion, Greece. May 2019]]>
Presented at ICEIS 2019, Heraklion, Greece. May 2019]]> Thu, 16 Jan 2020 19:13:10 GMT /slideshow/reinforcing-diversity-company-policies-insights-from-stackoverflow-developers-survey/220760830 karinakohl@slideshare.net(karinakohl) Reinforcing Diversity Company Policies: Insights from StackOverflow Developers Survey karinakohl Presented at ICEIS 2019, Heraklion, Greece. May 2019 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iceiskarina2019-200116191310-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at ICEIS 2019, Heraklion, Greece. May 2019
Reinforcing Diversity Company Policies: Insights from StackOverflow Developers Survey from Karina Kohl
]]> 75 0 https://cdn.slidesharecdn.com/ss_thumbnails/iceiskarina2019-200116191310-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies /slideshow/a-systematic-mapping-study-of-diversity-in-software-engineering-a-perspective-from-the-agile-methodologies/220759450 chase-ws-2019-poster-200116190703
Presented at 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2019) - Montreal, Canada]]>
Presented at 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2019) - Montreal, Canada]]> Thu, 16 Jan 2020 19:07:03 GMT /slideshow/a-systematic-mapping-study-of-diversity-in-software-engineering-a-perspective-from-the-agile-methodologies/220759450 karinakohl@slideshare.net(karinakohl) A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies karinakohl Presented at 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2019) - Montreal, Canada <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chase-ws-2019-poster-200116190703-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented at 12th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2019) - Montreal, Canada
A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies from Karina Kohl
]]> 61 0 https://cdn.slidesharecdn.com/ss_thumbnails/chase-ws-2019-poster-200116190703-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Future of Agile is Diversity /slideshow/the-future-of-agile-is-diversity/163887553 agile2019karina-190814174205
The algorithm is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists should all die and burn in hell, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups? Yates (Communication of ACM, June 2018) said that any remedy for bias must start with awareness that bias exists. Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey & Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution. How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms.]]>
The algorithm is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists should all die and burn in hell, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups? Yates (Communication of ACM, June 2018) said that any remedy for bias must start with awareness that bias exists. Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey & Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution. How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms.]]> Wed, 14 Aug 2019 17:42:05 GMT /slideshow/the-future-of-agile-is-diversity/163887553 karinakohl@slideshare.net(karinakohl) The Future of Agile is Diversity karinakohl The algorithm is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists should all die and burn in hell, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups? Yates (Communication of ACM, June 2018) said that any remedy for bias must start with awareness that bias exists. Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey & Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution. How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/agile2019karina-190814174205-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The algorithm is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists should all die and burn in hell, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups? Yates (Communication of ACM, June 2018) said that any remedy for bias must start with awareness that bias exists. Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey &amp; Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution. How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms.
The Future of Agile is Diversity from Karina Kohl
]]> 103 1 https://cdn.slidesharecdn.com/ss_thumbnails/agile2019karina-190814174205-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 PO no campo de batalha https://pt.slideshare.net/slideshow/po-no-campo-de-batalha/91982903 pocampodebatalhaumblermarco2018-180326191228
Palestra realizada no evento Womens' Voices in Tech, evento da Umbler em Porto Alegre]]>
Palestra realizada no evento Womens' Voices in Tech, evento da Umbler em Porto Alegre]]> Mon, 26 Mar 2018 19:12:28 GMT https://pt.slideshare.net/slideshow/po-no-campo-de-batalha/91982903 karinakohl@slideshare.net(karinakohl) PO no campo de batalha karinakohl Palestra realizada no evento Womens' Voices in Tech, evento da Umbler em Porto Alegre <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pocampodebatalhaumblermarco2018-180326191228-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Palestra realizada no evento Womens&#39; Voices in Tech, evento da Umbler em Porto Alegre
from Karina Kohl
]]> 120 1 https://cdn.slidesharecdn.com/ss_thumbnails/pocampodebatalhaumblermarco2018-180326191228-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comunicacao efetiva em Times geis - TDC POA 2017 https://pt.slideshare.net/slideshow/comunicacao-efetiva-em-times-geis-tdc-poa-2017/82222717 comunicacaoefetivatdcpoa2017karinakohl-171117155410
Palestra sobre Comunicacao efetiva em Times geis no The Developer's Conference Porto Alegre 2017 - Trilha Agile Coaching]]>
Palestra sobre Comunicacao efetiva em Times geis no The Developer's Conference Porto Alegre 2017 - Trilha Agile Coaching]]> Fri, 17 Nov 2017 15:54:10 GMT https://pt.slideshare.net/slideshow/comunicacao-efetiva-em-times-geis-tdc-poa-2017/82222717 karinakohl@slideshare.net(karinakohl) Comunicacao efetiva em Times geis - TDC POA 2017 karinakohl Palestra sobre Comunicacao efetiva em Times geis no The Developer's Conference Porto Alegre 2017 - Trilha Agile Coaching <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comunicacaoefetivatdcpoa2017karinakohl-171117155410-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Palestra sobre Comunicacao efetiva em Times geis no The Developer&#39;s Conference Porto Alegre 2017 - Trilha Agile Coaching
from Karina Kohl
]]> 534 1 https://cdn.slidesharecdn.com/ss_thumbnails/comunicacaoefetivatdcpoa2017karinakohl-171117155410-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comunicacao efetiva tdc_sp_2017_karinakohl https://pt.slideshare.net/slideshow/comunicacao-efetiva-tdcsp2017karinakohl/78310448 comunicacaoefetivatdcsp2017karinakohl-170727132313
Palestra sobre Comunica巽達o Efetiva em Times geis apresentada na trilha de Agile Coaching do The Developers'Conference - S達o Paulo, em Julho de 2017]]>
Palestra sobre Comunica巽達o Efetiva em Times geis apresentada na trilha de Agile Coaching do The Developers'Conference - S達o Paulo, em Julho de 2017]]> Thu, 27 Jul 2017 13:23:13 GMT https://pt.slideshare.net/slideshow/comunicacao-efetiva-tdcsp2017karinakohl/78310448 karinakohl@slideshare.net(karinakohl) Comunicacao efetiva tdc_sp_2017_karinakohl karinakohl Palestra sobre Comunica巽達o Efetiva em Times geis apresentada na trilha de Agile Coaching do The Developers'Conference - S達o Paulo, em Julho de 2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comunicacaoefetivatdcsp2017karinakohl-170727132313-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Palestra sobre Comunica巽達o Efetiva em Times geis apresentada na trilha de Agile Coaching do The Developers&#39;Conference - S達o Paulo, em Julho de 2017
from Karina Kohl
]]> 403 2 https://cdn.slidesharecdn.com/ss_thumbnails/comunicacaoefetivatdcsp2017karinakohl-170727132313-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Como o Gerente de Produto pode auxiliar os stakeholders em processos decis坦rios atrav辿s de data analytics https://pt.slideshare.net/slideshow/como-o-gerente-de-produto-pode-auxiliar-os-stakeholders-em-processos-decisrios-atravs-de-data-analytics/75693176 tdcfloripa2017karinakohl-170504234719
Palestra apresentada no The Developer's Conference Florian坦polis 2017 na trilha de An叩lise de Neg坦cio]]>
Palestra apresentada no The Developer's Conference Florian坦polis 2017 na trilha de An叩lise de Neg坦cio]]> Thu, 04 May 2017 23:47:19 GMT https://pt.slideshare.net/slideshow/como-o-gerente-de-produto-pode-auxiliar-os-stakeholders-em-processos-decisrios-atravs-de-data-analytics/75693176 karinakohl@slideshare.net(karinakohl) Como o Gerente de Produto pode auxiliar os stakeholders em processos decis坦rios atrav辿s de data analytics karinakohl Palestra apresentada no The Developer's Conference Florian坦polis 2017 na trilha de An叩lise de Neg坦cio <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tdcfloripa2017karinakohl-170504234719-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Palestra apresentada no The Developer&#39;s Conference Florian坦polis 2017 na trilha de An叩lise de Neg坦cio
from Karina Kohl
]]> 147 2 https://cdn.slidesharecdn.com/ss_thumbnails/tdcfloripa2017karinakohl-170504234719-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comunica巽達o efetiva para Times geis https://pt.slideshare.net/slideshow/comunicao-efetiva-para-times-geis-70434315/70434315 comunicaoefetiva-161225204228
A apresenta巽達o fala um pouco sobre estrat辿gias efetivas de comunica巽達o para times 叩geis e tamb辿m explica os porqu棚s, baseado em linguagem verbal e n達o-verbal.]]>
A apresenta巽達o fala um pouco sobre estrat辿gias efetivas de comunica巽達o para times 叩geis e tamb辿m explica os porqu棚s, baseado em linguagem verbal e n達o-verbal.]]> Sun, 25 Dec 2016 20:42:28 GMT https://pt.slideshare.net/slideshow/comunicao-efetiva-para-times-geis-70434315/70434315 karinakohl@slideshare.net(karinakohl) Comunica巽達o efetiva para Times geis karinakohl A apresenta巽達o fala um pouco sobre estrat辿gias efetivas de comunica巽達o para times 叩geis e tamb辿m explica os porqu棚s, baseado em linguagem verbal e n達o-verbal. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comunicaoefetiva-161225204228-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A apresenta巽達o fala um pouco sobre estrat辿gias efetivas de comunica巽達o para times 叩geis e tamb辿m explica os porqu棚s, baseado em linguagem verbal e n達o-verbal.
from Karina Kohl
]]> 130 2 https://cdn.slidesharecdn.com/ss_thumbnails/comunicaoefetiva-161225204228-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Comunica巽達o efetiva para Times geis https://pt.slideshare.net/slideshow/comunicao-efetiva-para-times-geis/70434282 comunicaoefetiva-161225203818
Aprensenta巽達o fala um pouco sobre as estrat辿gias mais efetivas de comunica巽達o em times 叩geis e os porqu棚s das efetividades falando sobre linguagem verbal e n達o-verbal.]]>
Aprensenta巽達o fala um pouco sobre as estrat辿gias mais efetivas de comunica巽達o em times 叩geis e os porqu棚s das efetividades falando sobre linguagem verbal e n達o-verbal.]]> Sun, 25 Dec 2016 20:38:18 GMT https://pt.slideshare.net/slideshow/comunicao-efetiva-para-times-geis/70434282 karinakohl@slideshare.net(karinakohl) Comunica巽達o efetiva para Times geis karinakohl Aprensenta巽達o fala um pouco sobre as estrat辿gias mais efetivas de comunica巽達o em times 叩geis e os porqu棚s das efetividades falando sobre linguagem verbal e n達o-verbal. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/comunicaoefetiva-161225203818-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Aprensenta巽達o fala um pouco sobre as estrat辿gias mais efetivas de comunica巽達o em times 叩geis e os porqu棚s das efetividades falando sobre linguagem verbal e n達o-verbal.
from Karina Kohl
]]> 346 2 https://cdn.slidesharecdn.com/ss_thumbnails/comunicaoefetiva-161225203818-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-karinakohl-48x48.jpg?cb=1671468567 https://cdn.slidesharecdn.com/ss_thumbnails/iceiskarina2019-200116191310-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/reinforcing-diversity-company-policies-insights-from-stackoverflow-developers-survey/220760830 Reinforcing Diversity ... https://cdn.slidesharecdn.com/ss_thumbnails/chase-ws-2019-poster-200116190703-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-systematic-mapping-study-of-diversity-in-software-engineering-a-perspective-from-the-agile-methodologies/220759450 A Systematic Mapping S... https://cdn.slidesharecdn.com/ss_thumbnails/agile2019karina-190814174205-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/the-future-of-agile-is-diversity/163887553 The Future of Agile is...