{"id":55,"date":"2017-07-28T14:15:45","date_gmt":"2017-07-28T14:15:45","guid":{"rendered":"https:\/\/www.science.smith.edu\/wdsboston\/?page_id=55"},"modified":"2018-01-12T15:47:42","modified_gmt":"2018-01-12T15:47:42","slug":"schedule","status":"publish","type":"page","link":"https:\/\/www.science.smith.edu\/wdsboston\/schedule\/","title":{"rendered":"Schedule"},"content":{"rendered":"

Friday, Jan 19th<\/b><\/span>
\nBoston, MA<\/span>
\nMuseum of Science<\/span><\/h4>\n

11:30 – 12:15: Lunch<\/span><\/h4>\n

12:15 to 12:30: Welcome<\/span><\/h4>\n

12:45 – 1:30: Keynote Address <\/span><\/h4>\n

Megan Price<\/strong>, Executive Director | Human Rights Data Analysis Group<\/span><\/p>\n

“Does the Truth Matter? How Data Analysis Can Contribute to <\/span><\/strong>Accountability”<\/strong>  |  <\/em><\/span>The Human Rights Data Analysis Group (HRDAG) uses methods from <\/span>statistics and computer science to help answer questions about what <\/span>happened during a violent conflict. Were members of one ethnic group <\/span>more likely to be victims of violence? Did violence increase or decrease <\/span>as control over an area changed hands from the State to opposition <\/span>forces? Examples from HRDAG\u2019s work will be presented to illustrate the <\/span>many steps involved, including evaluating data quality, determining <\/span>what\u2019s missing from observed data, conducting analyses that withstand <\/span>adversarial political and\/or legal climates, and explaining analyses to <\/span>non-technical audiences, including judges and prosecutors.<\/span><\/em><\/span><\/p>\n

1:45 – 3:00: Session I: Research <\/span><\/h4>\n

Una-May O\u2019Reilly<\/strong>, Principal Research Scientist | AnyScale Learning For All (ALFA)<\/a> group at Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory<\/span><\/p>\n

“A Data Science Lens on Online Learning”<\/strong> |  <\/span>Many education experiences are now online or app-based, such as Massive Open Online Courses (MOOCs) such as edX or Coursera. I will describe a data science project that provides insights into how students learn online by analyzing their click stream, video watching, e-text consultation, assessment completion and forum discussion behavior<\/em>.<\/span><\/span><\/p>\n

Laura Cadonati<\/strong>, Gravitational Wave Astrophysicist | Center for Relativistic Astrophysics at Georgia Tech<\/span><\/p>\n

“The Birth of Gravitational Wave Astronomy: Finding Black Holes and Neutron Stars in LIGO Data”<\/span><\/strong><\/p>\n

Krista Gile<\/strong>, Professor | Mathematics and Statistics at UMass Amherst<\/span><\/p>\n

“Crawling Social Networks to Fight HIV”<\/span><\/strong><\/p>\n

Raji Balasubramanian<\/strong>, Professor | School of Public Health and Health Sciences, UMass Amherst<\/span><\/p>\n

“Statistical Challenges in the Design and Analysis of Biomedical Studies Advancing Women’s Health”<\/span><\/strong><\/p>\n

3:00 – 3:30: Coffee Break<\/span><\/h4>\n

3:30 – 4:45: Session II: Education <\/span><\/h4>\n

Kick-off Talk<\/span><\/h4>\n

Mine Cetinkaya-Rundel,<\/strong> Professional Educator at RStudio<\/a> and Associate Professor of the Practice at Duke University<\/span><\/p>\n

“We’ll start with Data Science”<\/strong> | <\/span>We will discuss a data science course designed to serve as a gateway to the discipline of statistics, the statistics major, and broadly to quantitative studies, and discuss its success in achieving a gender balance in its audience, and attracting these students to the statistical science major<\/span><\/em><\/p>\n

Panel<\/span><\/h4>\n

Mine Cetinkaya-Rundel<\/strong>, Professional Educator at RStudio<\/a> and Associate Professor of the Practice at Duke University<\/span><\/p>\n

Amelia McNamara<\/strong>, Visiting Assistant Professor of Statistical and Data Sciences and MassMutual Faculty Fellow | Smith College<\/span><\/p>\n

Benjamin Baumer<\/strong>, Assistant Professor in Statistical and Data Sciences | Smith College<\/span><\/p>\n

Valerie Barr<\/strong>, Jean Sammet Professor of Computer Science | Mount Holyoke College<\/span><\/p>\n

Andrea Foulkes<\/strong>, Professor of Mathematics and Statistics | Mount Holyoke College<\/span><\/p>\n

5:00 – 5:45: Session III: Industry <\/span><\/h4>\n

Monika M. Wahi<\/strong>, MPH, CPH, President | DethWench Professional Services<\/span><\/p>\n

“What’s Hot in Data Science”<\/span><\/strong><\/p>\n

Melinda Han Williams<\/strong>, VP of Data Science and Analytics | Dstillery<\/a><\/span>
\n<\/strong><\/span><\/p>\n

“Machine Learning in Marketing: What Computers Can Teach Us About Humans”<\/span><\/strong><\/p>\n

Wenjing Lu,<\/strong> Senior Data Scientist & Sara Saperstein, <\/strong>Senior Data Scientist | MassMutual <\/span><\/p>\n

“Transitioning from Academia to Industry: the Journey of a Data Scientist”<\/span><\/strong><\/p>\n

6:00-7:00: Cocktail Hour | Networking Event & Poster Session<\/span><\/h4>\n","protected":false},"excerpt":{"rendered":"

Friday, Jan 19th Boston, MA Museum of Science 11:30 – 12:15: Lunch 12:15 to 12:30: Welcome 12:45 – 1:30: Keynote Address Megan Price, Executive Director | Human Rights Data Analysis Group “Does the Truth Matter? How Data Analysis Can Contribute to Accountability” … <\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_crdt_document":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"ngg_post_thumbnail":0,"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-55","page","type-page","status-publish","hentry"],"yoast_head":"\nSchedule - Women in Data Science Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.science.smith.edu\/wdsboston\/schedule\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Schedule - Women in Data Science Conference\" \/>\n<meta property=\"og:description\" content=\"Friday, Jan 19th Boston, MA Museum of Science 11:30 – 12:15: Lunch 12:15 to 12:30: Welcome 12:45 – 1:30: Keynote Address Megan Price, Executive Director | Human Rights Data Analysis Group “Does the Truth Matter? 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