Not exact matches
He also posted testimony apologizing for Facebook's role in false news,
data privacy leaks and foreign interference in elections,
as his company announced that it would form an independent commission of
academic researchers to study social media's impact on elections.
The historical app audit was announced in the wake of last month's revelations about how much Facebook
data Cambridge Analytica was given by app developer (and Cambridge University
academic), Dr Aleksandr Kogan — in what the company couched
as a «breach of trust».
Brittney Kaiser, a former employee for Cambridge Analytica — who left the company in January and is today giving evidence in front of a UK parliament committee that's investigating online misinformation — has suggested that
data on far more Facebook users may have found its way into the consultancy's hands than the up to 87M people Facebook has so far suggested had personal
data compromised
as a result of a personality quiz app running on its platform which was developed by an
academic working with CA.
One major feature that would distinguish the business practices of Amazon's «streaming
data marketplace» from those of actors such
as Facebook: The social media giant, while admitting that it has allowed direct access to user
data for
academic purposes, claims to prohibit the sale of these
data «to any ad network,
data broker or other advertising or monetization - related service.»
In addition to government and
academic sector coordination efforts, the Shanghai
Data Exchange has also partnered with Alibaba, Huawei, and Deloitte to increase analytics, data - enrichment, and consumer insights as use ca
Data Exchange has also partnered with Alibaba, Huawei, and Deloitte to increase analytics,
data - enrichment, and consumer insights as use ca
data - enrichment, and consumer insights
as use cases.
The Bank has required the securitisation
data to be made available to permitted
data users (such
as those who intend to use the
data for investment, professional or
academic research).
Kogan said he went to Harvard
as an
academic, in the hopes of starting up a big -
data institute that was separate from his work for Cambridge Analytica.
Since conceptual capacities needed to understand God include capacities that are «existentially» significant while at the same time fully
as rational and
as rigorously disciplined
as any other capacities to understand anything else, can
academic schooling be understood adequately simply
as the acquisition of capacities for disciplined accumulation and mastery of
data and capacities for critical and self - critical theorizing (cf the «Berlin» model)?
There may be something to be said for the
academic grind
as a way of obtaining a minimal collection of important
data, but there is nothing to be said for turning the whole educational enterprise into a deadly routine.
The Reports present detailed waste management
data and analysis that is drawn on by governments, industry and
academics as a key information resource.
The MANAstats
data is available to researchers,
as well
as mothers, midwives and others without an
academic affiliation.
«
Data for policy»
as an
academic field is still in its infancy.
Given Britain's involvement in an international research consortium formed to create the most detailed and medically useful picture of human genetic variation to date, tonight's other discussion points include the scientific value of the information and the regulatory implications of providing public access to personal genome
data through
academic research projects,
as well
as through commercial organisations.
Kogan said he went to Harvard
as an
academic, in the hopes of starting up a big -
data institute that was separate from his work for Cambridge Analytica.
He'd presented the app to Facebook and to its users
as a project gathering for
academic research, but then had turned around and given it to a company that had not been named or identified, and which sought to use the
data for political, not
academic, purposes.
All
data stored in BIND is freely available to the research community, both
academic and private sector,
as are all of Blueprint's bioinformatics tools.
I am still uncertain if an
academic career is for me, but regardless of my future employment options, I think my teaching experience will be advantageous
as it demonstrates to an employer that I have the ability to present
data to a group of people in a logical manner.
The scientists used historic nautical charts,
data from
academic research and the oil and gas industry
as well
as National Oceanic and Atmospheric Administration underwater mapping
data collected from 1764 to 2009.
Academic scientists face major obstacles
as they try to collate baseline
data on radiation doses in the face of the enormous disruption caused by the earthquake and tsunami that hit the country last month.
Some
academics, such
as Bradley, are thankful for the new source of
data and have responded by working more closely with commercial units.
Commercial reports contain broadly the same sort of
data as academic reports — interpretations of features, finds and chronology.
The industry and some
academics branded those findings
as exaggerated, but the debate has been marked by a scarcity of hard
data.
Specifically, the
data may be skewed
as a result of predominantly attracting respondents with personal experiences of mental health issues, and they don't investigate the causality between perception of a nonsupportive
academic environment and mental health.
In this presentation, we discuss
data from studies conducted with
academic, clinical, and industry collaborators that demonstrates the utility of the system
as a more predictive, human - relevant alternative for efficacy and safety testing of new chemical entitites.
As during previous panels, speakers Moon Duchin, Rafael Luna, Joan Reede, Alberto Roca, and Jessica Tytell made it was obvious that more
data is needed for us to fully understand the precise makeup of
academic researchers and, in fact, one of the projects developed during the Saturday Hack Day Session focused on finding this information and making it more easily digestible / available.
This order is intuitive and reflected in many features of
academic life, but whether it reflects the «hardness» of scientific research — i.e., the extent to which research questions and results are determined by
data and theories
as opposed to non-cognitive factors — is controversial.
In the 2007 - 2008
academic year, for instance, awards supported research on topics such
as the imaging of brain regions involved in the learning of words, the relation between memory and the growth of brain cells in adulthood, the neural activity behind birdsongs and the processing of sensory
data in the brains of infants at risk for autism.
As a result of my
academic training and my laboratory
data, I've learned how to use food timing to maximize recovery after exercise.
As a result, teachers were trained to use
data to identify patterns of strength and weaknesses, and each student is now given an
academic plan that is tracked by the teacher.
While it is now widely recognised that social - emotional wellbeing is a protective factor for wellbeing and mental health,
as well
as a key to educational success, the current emphasis on
academic achievement and
data - driven accountability in schools tends to relegate social and emotional learning to one side.
Harvard Graduate School of Education will work with the Strategic Education Research Partnership and other partners to complete a program of work designed to a) investigate the predictors of reading comprehension in 4th - 8th grade students, in particular the role of skills at perspective - taking, complex reasoning, and
academic language in predicting deep comprehension outcomes, b) track developmental trajectories across the middle grades in perspective - taking, complex reasoning,
academic language skill, and deep comprehension, c) develop and evaluate curricular and pedagogical approaches designed to promote deep comprehension in the content areas in 4th - 8th grades, and d) develop and evaluate an intervention program designed for 6th - 8th grade students reading at 3rd - 4th grade level.The HGSE team will take responsibility, in collaboration with colleagues at other institutions, for the following components of the proposed work: Instrument development: Pilot
data collection using interviews and candidate assessment items, collaboration with DiscoTest colleagues to develop coding of the pilot
data so
as to produce well - justified learning sequences for perspective - taking, complex reasoning,
academic language skill, and deep comprehension.Curricular development: HGSE investigators Fischer, Selman, Snow, and Uccelli will contribute to the development of a discussion - based curriculum for 4th - 5th graders, and to the expansion of an existing discussion - based curriculum for 6th - 8th graders, with a particular focus on science content (Fischer), social studies content (Selman), and
academic language skills (Snow & Uccelli).
«You have to see
data as helping you be accountable for something that's really important to you,» says John Chubb, chief
academic officer of Edison Schools.
For the most part, he says, the past decade of research on the accountability movement in education has focused on two things: whether or not the tests increased
academic achievement, and how high - stakes testing has led to certain behaviors such
as teaching to the test or manipulating the
data.
In light of the ongoing push to establish common
academic standards across states, the authors examined
data from the 2007 National Assessment of Educational Progress to see whether citizen ratings of school quality are responsive to the level of student performance relative to the nation
as a whole or only relative to other schools within the same state.
In previous research using the 2003 principal survey
data (see «When Principals Rate Teachers,» research, Spring 2006), we found that principals in the district are usually able to identify the most and least effective teachers in their schools,
as measured by their students»
academic progress.
However, the importance of schools protecting their
academic and pastoral
data is
as vital
as a company protecting its commercially sensitive information.
These
data allow for comparisons between children within states who are otherwise similar in their
academic achievement
as well
as in other background characteristics.
The kind of
data schools are likely to collect, and therefore need to be wary of, include personal
data on members of the school community, including names, addresses, contact details, legal guardianship contact details, disciplinary records;
academic data such
as class lists, progress reports; professional records of employment history, taxation, national insurance records and appraisal records.
«I can categorize the questions according to important cognitive skills such
as contextualization, synthesis, and analysis and receive aggregated
data for each
academic skill.
Recognizing that barriers to college success can go beyond the financial, the Dell Scholars Program has developed a proactive and
data - informed program model that supports students to overcome
academic and situational hurdles
as they arise.
As more student and school
data move online for
academic and administrative purposes, you can avoid creating extra work for your staff by dealing with companies that integrate and partner with other service providers.
In my book, The Collapse of Parenting, I share
data from many sources — including the National Institutes of Health, international databases such
as the PISA program, scholarly papers by researchers such
as Professor Jean Twenge, and many other sources — showing that American kids are indeed more likely to be obese, less likely to be physically fit, more likely to be anxious and depressed, compared with American kids 30 years ago — and in the case of
academic achievement, doing much less well compared with kids in other countries, again a big change compared with American kids 30 years ago.
As a result, we are now in a position to use the
data we collect each day to «crack the
academic code» and learn quite a bit about how kids learn math.
When the schools reach capacity, they pay management fees to fund central administrative costs, such
as academic coaches, student
data systems, and payroll.
The test - score
data were adjusted statistically to account for any observed differences between the two groups, such
as level of family income - an important predictor of
academic performance - that might have biased the results.
Schools have access to many different sources of
data:
academic, behavioural and attendance
as well
as student, parent and staff satisfaction surveys.
At NCES
as well, the survey
data collection is guided by the interests of the
academic community.
Texas Schools Project supports and conducts independent, high - quality
academic research through the use of individual level administrative
data from Texas state education agencies
as well
as other sources of Texas education
data.
promote the continuous use of student
data (such
as from formative, interim, and summative assessments) that shall inform and differentiate instruction in order to meet the
academic needs of individual students;
The
data show that SEL programs yielded a strong benefit in
academic accomplishment,
as demonstrated in achievement test results and grade - point averages.